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1
Lim, Jungwook, Jihun Kim, Long Yan, Hyunpil Noh, Seungki Jung, Doosik Seol, Junghyung Pyo, et al. "A single chip PPG sensor with enhanced IR sensitivity for low power and small size." Electronic Imaging 2021, no. 7 (January 18, 2021): 66–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.7.iss-066.
Анотація:
A single chip Photoplethysmography(PPG) sensor was developed for continuous measurements of heart rate from a mobile device. In order to utilize it in various mobile applications, it was necessary to achieve low power and small size of PPG sensors. For low power and small chip size of the PPG sensor, a photodiode(PD) for sensing signals and an analog front end(AFE) for signal amplification and ADC should be implemented in a single chip. The single chip PPG sensor which is implemented on a standard CMOS process with low operating voltage could be more suitable for mobile devices. In order to operate at a low voltage, reduction of Si thickness is required, and for this, high quantum efficiency(QE) of 43% at 940nm were obtained at 3um thickness by back side trench(BST) pattern and ARL optimization. In addition, to improve the performance of the PPG sensor, the leakage current of <0.1nA and capacitance of <200pF were measured by 20um pixel array. As a result, the low-power, small size single-chip PPG sensor showed similar performance to conventional high-voltage and large PPG sensor.
2
Artemčiukas, Edgaras, and Leonidas Sakalauskas. "INTEGRATION OF SENSOR ORIENTATION DATA INTO AN AUGMENTED REALITY TECHNOLOGY / JUTIKLIŲ ORIENTACIJOS DUOMENŲ INTEGRACIJA PAPILDYTOSIOS REALYBĖS TECHNOLOGIJOJE." Mokslas – Lietuvos ateitis 6, no. 2 (April 24, 2014): 172–77. http://dx.doi.org/10.3846/mla.2014.24.
Анотація:
Currently, such microelectromechanical sensors as accelerometers, gyroscopes and magnetometers are the dominant sensors in mobile devices. The market of mobile devices is constantly expanding and focused on sensor integration process by adding supplementary functionality for the applications; therefore, it is possible to adapt these sensors for augmented reality technology solutions. Many augmented reality solutions are based on computer vision processing methods in order to identify and track markers or other objects. However, the main problem is chaotic environment, lighting conditions where object recognition and tracking in real-time becomes difficult and sometimes is an impossible process. This paper analyses possibilities to apply microelectromechanical sensors. Additionally, it investigates quaternion use for sensor data to estimate reliable and accurate camera orientation and represent virtual content in augmented reality technology. Šiuo metu mikroelektromechaniniai jutikliai (akcelerometrai, giroskopai ir magnetometrai) dominuoja mobiliuosiuose įrenginiuose. Mobiliųjų įrenginių rinka nepaliaujamai plečiasi ir telkiasi į jutiklių integracijos procesą, kuriamoms aplikacijoms pridedama papildomo funkcionalumo. Tokiu būdu suteikiama galimybė pritaikyti jutiklių informaciją priimant papildytosios realybės technologijos sprendimus. Daugelis papildytosios realybės sprendimų veikia remiantis vaizdų apdorojimo metodais, norint atpažinti ir sekti žymeklį ar kitus objektus bei atvaizduoti kompiuteriu generuojamą virtualų turinį. Pagrindinė tokių metodų problema – netvarkinga aplinka, apšvietimo sąlygos, todėl objektą atpažinti ir sekti realiuoju laiku tampa sudėtinga arba neįmanoma. Darbe nagrinėjamos mikroelektromechaninių jutiklių naudojimo galimybės ir kvaternionų taikymas jutiklių duomenims, norint patikimai ir tiksliai įvertinti kameros orientaciją erdvėje. Tokiu būdu virtualus turinys atvaizduojamas papildytosios realybės technologijoje, netaikant vaizdų apdorojimo metodų.
3
Lee, Kyunghyun, Sangkyeum Kim, and Kwanho You. "Iterative Regression Based Hybrid Localization for Wireless Sensor Networks." Sensors 21, no. 1 (January 2, 2021): 257. http://dx.doi.org/10.3390/s21010257.
Анотація:
Among various localization methods, a localization method that uses a radio frequency signal-based wireless sensor network has been widely applied due to its robustness against noise factors and few limits on installation location. In this paper, we focus on an iterative localization scheme for a mobile with a limited number of time difference of arrival (TDOA) and angle of arrival (AOA) data measured from base stations. To acquire the optimal location of a mobile, we propose a recursive solution for localization using an iteratively reweighted-recursive least squares (IR-RLS) algorithm. The proposed IR-RLS scheme can obtain the optimal solution with a fast computational speed when additional TDOA and/or AOA data is measured from base stations. Moreover, while the number of measured TDOA/AOA data was limited, the proposed IR-RLS scheme could obtain the precise location of a mobile. The performance of the proposed IR-RLS method is confirmed through some simulation results.
4
Baasandorj, Bayanjargal, Aamir Reyaz, Park Joung Ho, Cha Wang Cheol, Deok Jin Lee, and Kil To Chong. "A Mobile Robot Obstacle Avoidance Using Fuzzy Logic and Model Predictive Control." Applied Mechanics and Materials 548-549 (April 2014): 922–27. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.922.
Анотація:
This paper presents a method of solving the problem of mobile robot Obstacle avoidance and path planning in an unknown dynamic environment. A linear model of the two-wheeled nonholonomic robot controlled using Model predictive control controller. For obstacle avoidance Fuzzy logic control is used. The ultrasonic sensors are used for positioning and identifying an obstacle. The proposed method is successfully tested in simulations. Obstacle avoiding technique is very useful in real life, this technique can also use as a vision belt of blind people by changing the IR sensor by a kinetic sensor ,which is on type of microwave sensor whose sensing range is very high and the output of this sensor vary in according to the object position changes.
5
Patel, Karan. "Operating Electric Equipment with IR Sensor and IOT." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 1935–41. http://dx.doi.org/10.22214/ijraset.2021.35408.
Анотація:
Nowadays, there countless devices that have the use of Infrared (IR) sensors which mandates the remote controllers to control and appropriately make use of them. Therefore, the use of many remote controllers arises many difficulties to handle simultaneously. However, the application of IR and IoT (Internet of Things) technologies can solve such problems. The paper is focused to solve such problems and giving the application control to the users. Thus, the current work deals with the technology that will help the user to control their respective devices anywhere in the world by means of internet access with mobile applications. The technology in the present work can operate 360-direction devices. It is needed to fix it across the ceiling and connect it with WIFI, so the use of the mobile application, Google Assistant, Amazon Alexa, Google Home Mini to manage the device (one at a time) can be done. However, the only limitation of the technology is that the device must be connected to the internet.
6
Uhm, Taeyoung, Jeongwoo Park, Jungwoo Lee, Gideok Bae, Geonhui Ki, and Youngho Choi. "Design of Multimodal Sensor Module for Outdoor Robot Surveillance System." Electronics 11, no. 14 (July 15, 2022): 2214. http://dx.doi.org/10.3390/electronics11142214.
Анотація:
Recent studies on surveillance systems have employed various sensors to recognize and understand outdoor environments. In a complex outdoor environment, useful sensor data obtained under all weather conditions, during the night and day, can be utilized for application to robots in a real environment. Autonomous surveillance systems require a sensor system that can acquire various types of sensor data and can be easily mounted on fixed and mobile agents. In this study, we propose a method for modularizing multiple vision and sound sensors into one system, extracting data synchronized with 3D LiDAR sensors, and matching them to obtain data from various outdoor environments. The proposed multimodal sensor module can acquire six types of images: RGB, thermal, night vision, depth, fast RGB, and IR. Using the proposed module with a 3D LiDAR sensor, multimodal sensor data were obtained from fixed and mobile agents and tested for more than four years. To further prove its usefulness, this module was used as a monitoring system for six months to monitor anomalies occurring at a given site. In the future, we expect that the data obtained from multimodal sensor systems can be used for various applications in outdoor environments.
7
Andreev, V. P. "Obstacle shape determination by mobile robot sensor system using GP2Y0A (Sharp) type IR distance sensors." Power engineering: research, equipment, technology 26, no. 1 (April 24, 2024): 195–207. http://dx.doi.org/10.30724/1998-9903-2024-26-1-195-207.
Анотація:
PURPOSE. When organizing a mobile robot (MR) movement in a non-deterministic environment, the SLAM problem arises, which includes the detection of an obstacle presence by the MR sensor system, the distance to the obstacle and its shape. To solve this problem, an infrared (IR) analog distance sensor is often used, the information flow from which is relatively small and can be processed in real time using low-performance microcontrollers. However, such a sensor can only detect an obstacle and determine а distance to a certain point on its surface. The goal is to develop a method for determining both а distance to an obstacle and its shape. When setting up experiments on the use of an analog sensor of the GP2Y0A (SHARP) type, a problem was revealed associated with the occurrence of not only fluctuation noise in а data communication channel, but also artifacts – anomalous signal values appear with random periodicity. It is necessary to determine the source of such interference, propose a method for estimating its parameters and a way to minimize its influence. METHODS. To determine the shape of an obstacle, a differential method is proposed based on the use of several readings of a scanning IR distance sensor. As an indicator of the “noisiness” of the channel, it is proposed to use the number of sensor signal values that exceed the average signal value by 1σ, 2σ, 3σ, 4σ and 5σ. The use of standard methods for filtering abnormal values of a sensor signal leads to significant delays in a response of the MR control system. This is unacceptable, because at the executive level of a control system it is required to provide a "hard" real-time mode. RESULTS. The article presents the results of experiments showing the conditions for applying the differential method for determining a shape of an obstacle, the source of anomalous signal values is identified and a method for minimizing them is proposed. A method for increasing the practical use range of a nonlinear IR sensor conversion function is also proposed. CONCLUSION. The number and magnitude of abnormal values depend on a communication channel length. When using analog sensors, it is necessary to convert an output signal into digital form using analog-to-digital converters (ADCs) in an integrated design, structurally bringing the ADC as close as possible to the signal source.
8
Kurniawan, Aditya, and Kholilatul Wardani. "Kinect Structural Noise Elimination Technique For ITIS Mobile Robot Data Collector." International Journal of Engineering & Technology 7, no. 4.27 (November 30, 2018): 1. http://dx.doi.org/10.14419/ijet.v7i4.27.22425.
Анотація:
A contemporary study on the Kinect sensor as a visual sensor device for robots shows that the sensor has some fundamental flaws. One of them are shadows on the object edge that will affect the process of recognition of shape (shape recognition) spatially. If the Kinect sensor is used in the robot vision navigation system, the sensor may lead to errors in the robot's decision on the shape of the object sensed by the sensor. The previous research reports a positive influence on the variation of smoothing process by using neighborhood filtering. This research will use multiple neighborhood localized filtering (MNLF) method to eliminate structural noise generated by kinect sensor IR camera. The robot model that will be used for testing is 6WD Wild Thumper Mobile Robot Chassis from Dagu Robotics. The calculation of SSI (Structural Similarity Index) calculation based on ROI between image index 0 (original image) with index 6 (image result after multiple filtering process) results SSI index with value 0.999999930515914. This indicates that multiple filtering processes do not affect the quality of images produced by Kinect sensors. The number of 0.99 can be rounded to 1 so that the conclusion based on ROI image assessment shows no differences on image quality after process.
9
Yanmida, Dele Zacheaus, Abubakar Surajo Imam, and Sabur Ajibola Alim. "Obstacle Detection and Anti-Collision Robot Using Ultrasonic Sensor." ELEKTRIKA- Journal of Electrical Engineering 22, no. 1 (April 28, 2023): 11–14. http://dx.doi.org/10.11113/elektrika.v22n1.404.
Анотація:
Obstacle detection can be considered central and paramount in designing mobile robots. This technique enables mobile robots equipped with sensors to transverse and maneuver freely in an environment preventing damage as a result of a collision with obstacles in its path. Several systems with different approaches have been developed for the anti-collision of a robot with obstacles. The approach to Sensor selection, path planning, and navigation processes determines the operation of such a system and differs from one another. This paper presents a low-cost ultrasonic distance sensor for obstacle detection to enhance anti-collision in mobile robot navigation. The system is designed with the C/C++ programming of the Arduino software (IDE) and implemented on the ATMega 2560 Microcontroller of the Arduino board. An ultrasonic sensor detects an obstacle and sends the data collected to the controller which directs the motor driver to stop or move the robot while following a visible predefined path (blackline) embedded in the ground and detected with the help of an IR sensor placed beneath the robot. Experimental results with varied obstacle positions show a decent performance scoring 96.4% accuracy at a 50cm distance to the obstacle.
10
Sut, Dhruba Jyoti. "Development of an Autonomous Real Time Collision Avoidance Mobile Robot." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 1700–1705. http://dx.doi.org/10.22214/ijraset.2022.40125.
Анотація:
Abstract: In most circumstances, mobile robots are stated to be autonomous, with collision avoidance being a crucial aspect of designing an autonomous mobile robot. The goal of this paper is to create a simple autonomous real-time collision-avoidance mobile robot that moves to utilise ultrasonic sensors and infrared modules. In this paper, a collision-avoidance mobile robot is designed with built-in intelligence that guides itself whenever an impediment is in its way and manoeuvre around them without any collision. This robotic vehicle is built with an AT Mega 328 microcontroller. An ultrasonic sensor detects any obstacles ahead of it and on either side of the robot, there are two infrared (IR) modules integrates to detect the obstructions and transmit an instruction to the microcontroller. The error generation is decreased with the help of the Kalman filter. Based on the input signal from different sensor integrated in the robot the microcontroller instructs to travel in a various direction by actuating the motors connected to it via a motor driver. Keywords: Mobile robot, autonomous robot, collision avoidance, surveillance, accuracy
11
Tang, Qing. "Localization and tracking control for mobile welding robot." Industrial Robot: An International Journal 41, no. 3 (May 13, 2014): 259–65. http://dx.doi.org/10.1108/ir-07-2013-377.
Анотація:
Purpose – The purpose of this paper is to design the localization and tracking algorithms for our mobile welding robot to carry out the large steel structure welding operations in industrial environment. Design/methodology/approach – Extended Kalman filter, considering the bicycle-modeled robot, is adopted in the localization algorithm. The position and orientation of our mobile welding robot is estimated using the feedback of the laser sensor and the robot motion commands history. A backstepping variable is involved in the tracking algorithm. By introducing a specifically selected Lyapunov function, we proved the tracking algorithm using Barbalat Lemma, which leads the errors of estimated robot states to converge to zero. Findings – The experiments show that the proposed localization method is fast and accurate and the tracking algorithm is robust to track straight lines, circles and other typical industrial curve shapes. The proposed localization and tracking algorithm could be used, but not limited to the mobile welding. Originality/value – Localization problem which is neglected in previous research is very important in mobile welding. The proposed localization algorithm could estimate the robot states timely and accurately, and no additional sensors are needed. Furthermore, using the estimated robot states, we proposed and proved a tracking algorithm for bicycle-modeled mobile robots which could be used in welding as well as other industrial operation scenarios.
12
Yonanto, Veriko, I. Dewa Gede Hari Wisana, and Triana Rahmawati. "Pemantauan SpO2 Melalui Aplikasi Android di Mobile Phone." Jurnal Teknokes 12, no. 2 (September 19, 2019): 21–28. http://dx.doi.org/10.35882/teknokes.v12i2.4.
Анотація:
Penyakit Paru Obstruktif Kronik (PPOK) adalah penyakit obtruksi jalan napas karena bronchitis kronik atau emfisema. Salah satu penyebab PPOK adalah merokok. Monitoring saturasi oksigen digunakam untuk mengetahui nilai SPO2 selama satu menit pada perokok pasif maupun aktif yang bertujuan untuk monitoring kondisi Saturasi Oksigen pasien rawat jalan dan jika terjadi nilai yang tidak normal dapat dijadikan sebagai peringatan awal terjadinya risiko dari Pola Hidup Merokok. Tujuan dari penelitian ini membuat alat monitoring SPO2 via Android menggunakan sensor MAX30100. Sensor MAX30100 bekerja berdasarkan penyerapan cahaya IR dan LED yang masuk ke sensor, data dari sensor MAX30100 masuk ke pin 12C pada minimum sistem arduino, kemudian diolah sehingga menghasilkan presentase nilai SPO, yang kemudian ditampilkan pada LCD 16x2 dan Android dengan menggunakan Bluetooth sehagai media pengiriman. Pada peneliti sebelumnya dihasilkan error sebesar 0,6% dan hasil dari penelitian sekarang dengan melakukan pendataan 5 responden dengan 6 kali pengambilan data di dapatkan error sebesar 0.27%.
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Dzemydienė, Dalė, and Ramūnas Dzindzalieta. "Mobiliųjų technologijų taikymas judančių transporto objektų stebėsenai ir komunikavimui." Informacijos mokslai 50 (January 1, 2009): 274–80. http://dx.doi.org/10.15388/im.2009.0.3226.
Анотація:
Mobiliųjų technologijų platforma leidžia aptikti ir stebėti judančių objektų geografi nes koordinates. Atitinkamų parametrų reikšmės gali būti fi ksuojamos sensorinės įrangos jutiklių priemonėmis ir perteikiamos nuotoliniu būdu į serverio duomenų bazę. Norint tinkamai valdyti pavojingus krovinius, tenka ne tik nustatyti objekto buvimo vietą, bet ir susieti kontekstinę informaciją su gaunamais duomenimis, ją diagnozuoti, vertinti susidariusios situacijos būklę bei sudaryti sąlygas priimti duomenisperduodamus tam tikrų tarnybų nutolusiems įrenginiams. Sprendžiant pagalbos arba tinkamo reguliavimo uždavinius transporto valdyme. Straipsnyje nagrinėjami tokios sistemos architektūros išvystymo klausimai. Sistema leidžia stebėti judančius objektus ir palaikyti ryšį tarp skirtingų mobiliųjų įrenginių. Gauti rezultatai aprašo atitinkamą sąsajos struktūrą, jos programinius komponentus, scenarijus, paslaugų kontrolę.Application of Mobile Technologies for Monitoring and Communication of Transportation ObjectsDalė Dzemydienė, Ramūnas Dzindzalieta SummaryMobile technologies provide a convenient platform for the detection of location of objects, for delivering reminders, etc. A location-based reminder application runs on mobile phones. Reminders can be more helpful when rich contextual information is used to present them at appropriate time in appropriate places. Devices detect and interact with their physical environments through sensors. In general, any aspect of the device that enables it to detect and interact with its physical environment may be considered as sensor. Some interesting examples of such sensors include: built-in cameras motion/gesture sensors location-sensing capabilities (for example, GPS hardware).The aims of our research concerns the methods to collect appropriate interface structure (components, scenarios) for services control for the recognizing the concrete situation of the moving object using distributed information systems and means of wireless communication systems (i.e. programming components, protocols, sensors and devices). The paper describes an approach of designing of the architecture of the system that uses the wireless technologies to monitor the dynamic objects. We propose some wireless protocols used to establish object’s geographical coordinates, monitor and fi x state of behavior of the moving dangerous transportation objects.>
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Guisasola, Aitor, Ainhoa Cortés, Javier Cejudo, Astrid da Silva, Markos Losada, and Paul Bustamante. "Reliable and Low-Power Communications System Based on IR-UWB for Offshore Wind Turbines." Electronics 11, no. 4 (February 14, 2022): 570. http://dx.doi.org/10.3390/electronics11040570.
Анотація:
In this paper, we propose the design of a low-power wireless sensor network architecture that enables robust communications inside offshore wind turbines. This research work is in the scope of the WATEREYE EU Project, where we have designed a corrosion monitoring solution to work unattended. The architecture is composed of several fixed sensor nodes, one mobile sensor node, several anchors and the WATEREYE Computer (WEC). Our approach is based on Impulse Radio Ultra wideband (IR-UWB) technology offering reliable and low-power communications in these harsh environments. On top of that, we propose a double star network using two UWB channels for the following purposes: one network for communications to send the sensor data and another one for ranging estimations to calculate the indoor positioning of the mobile sensor node. The power strategies applied to our system, at Hardware (HW) and Firmware (FW) levels, are described in detail. Furthermore, we present power consumption measurements obtaining the power profiles and the autonomy of the most important components of the proposed architecture supplied by battery. On the other hand, we describe the methodology to analyze the range, reliability and continuity of the two UWB links providing the packet loss and gaps as a function of distance. The proposed communications system has been validated in three different scenarios considering two of them very hostile environments. Furthermore, one of the scenarios is a real offshore wind turbine.
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Mahbubur Rashid, Muhammad, Amir Akramin Shafie, Tarik Bin Alamgir, and Ibrahim Jawad Alfar. "Design and Implementation of Fuzzy Based Person Following Mobile Robot." Applied Mechanics and Materials 151 (January 2012): 184–88. http://dx.doi.org/10.4028/www.scientific.net/amm.151.184.
Анотація:
Tracking a person successfully and following robustly is a significant ability that requires to be overwhelmed by a service robot while it requires completing some human-related tasks. Such capability has desires, which cannot be met pleasingly using conventional numerical process. Most remarkably, the robot has to stay at a certain safe distance as of the person that is being tracked and simultaneously be in motion in a smooth way which does not seem to be frightening to the person. In this research, consequently, a Fuzzy Inference System (FIS) is developed and used as a controller to provide decisions achieving smooth and safe person-following activities. The Fuzzy system is made to work in combination with a Optoelectronic (IR) sensor detection algorithm which acquire the position in using co-ordinate system and the velocity of the person is detected by using ultrasonic sensor and these are used to generate the Fuzzy Inference System distance and velocity information necessary for the control process. The simulation and result on this research established that even though the detection of IR is subject to minor noise and false negatives, the robot will achieve the smoothness and safety objectives while following its target. An example with a mobile robot tracking a person demonstrates the performance of our approach.
16
Fietzek, Peer, Björn Fiedler, Tobias Steinhoff, and Arne Körtzinger. "In situ Quality Assessment of a Novel Underwater pCO2 Sensor Based on Membrane Equilibration and NDIR Spectrometry." Journal of Atmospheric and Oceanic Technology 31, no. 1 (January 1, 2014): 181–96. http://dx.doi.org/10.1175/jtech-d-13-00083.1.
Анотація:
Abstract This paper presents a detailed quality assessment of a novel underwater sensor for the measurement of CO2 partial pressure (pCO2) based on surface water field deployments carried out between 2008 and 2011. The commercially available sensor, which is based on membrane equilibration and nondispersive IR (NDIR) spectrometry is small and can be integrated into mobile platforms. It is calibrated in water against a proven flow-through pCO2 instrument within a custom-built calibration setup. The aspect of highest concern with respect to achievable data quality of the sensor is the compensation for signal drift inevitably connected to absorption measurements. Three means are used to correct for drift effects: (i) a filter correlation or dual-beam setup, (ii) regular zero gas measurements realized automatically within the sensor, and (iii) a zero-based transformation of two sensor calibrations flanking the time of sensor deployment. Three sensors were tested against an underway pCO2 system during two major research cruises, providing an in situ temperature range from 7.4° to 30.1°C and pCO2 values between 289 and 445 μatm. The average difference between sensor and reference pCO2 was found to be −0.6 ±3.0 μatm with an RMSE of 3.7 μatm.
17
Bai, Jing, Yuchang Zhang, Xiansheng Qin, Zhanxi Wang, and Chen Zheng. "Hybrid calibration and detection approach for mobile robotic manufacturing systems." Industrial Robot: the international journal of robotics research and application 47, no. 4 (May 11, 2020): 511–19. http://dx.doi.org/10.1108/ir-09-2019-0194.
Анотація:
Purpose The purpose of this paper is to present a visual detection approach to predict the poses of target objects placed in arbitrary positions before completing the corresponding tasks in mobile robotic manufacturing systems. Design/methodology/approach A hybrid visual detection approach that combines monocular vision and laser ranging is proposed based on an eye-in-hand vision system. The laser displacement sensor is adopted to achieve normal alignment for an arbitrary plane and obtain depth information. The monocular camera measures the two-dimensional image information. In addition, a robot hand-eye relationship calibration method is presented in this paper. Findings First, a hybrid visual detection approach for mobile robotic manufacturing systems is proposed. This detection approach is based on an eye-in-hand vision system consisting of one monocular camera and three laser displacement sensors and it can achieve normal alignment for an arbitrary plane and spatial positioning of the workpiece. Second, based on this vision system, a robot hand-eye relationship calibration method is presented and it was successfully applied to a mobile robotic manufacturing system designed by the authors’ team. As a result, the relationship between the workpiece coordinate system and the end-effector coordinate system could be established accurately. Practical implications This approach can quickly and accurately establish the relationship between the coordinate system of the workpiece and that of the end-effector. The normal alignment accuracy of the hand-eye vision system was less than 0.5° and the spatial positioning accuracy could reach 0.5 mm. Originality/value This approach can achieve normal alignment for arbitrary planes and spatial positioning of the workpiece and it can quickly establish the pose relationship between the workpiece and end-effector coordinate systems. Moreover, the proposed approach can significantly improve the work efficiency, flexibility and intelligence of mobile robotic manufacturing systems.
18
AL-Forati, Israa, and Abdulmuttalib Rashid. "Robotics Path Planning Algorithms using Low-Cost IR Sensor." 3D SCEEER Conference sceeer, no. 3d (July 1, 2020): 44–52. http://dx.doi.org/10.37917/ijeee.sceeer.3rd.7.
Анотація:
A robot is a smart machine that can help people in their daily lives and keep everyone safe. the three general sequences to accomplish any robot task is mapping the environment, the localization, and the navigation (path planning with obstacle avoidance). Since the goal of the robot is to reach its target without colliding, the most important and challenging task of the mobile robot is the navigation. In this paper, the robot navigation problem is solved by proposed two algorithms using low-cost IR receiver sensors arranged as an array, and a robot has been equipped with one IR transmitter. Firstly, the shortest orientation algorithm is proposed, the robot direction is corrected at each step of movement depending on the angle calculation. secondly, an Active orientation algorithm is presented to solve the weakness in the preceding algorithm. A chain of the active sensors in the environment within the sensing range of the virtual path is activated to be scan through the robot movement. In each algorithm, the initial position of the robot is detected using the modified binary search algorithm, various stages are used to avoid obstacles through suitable equations focusing on finding the shortest and the safer path of the robot. Simulation results with multi-resolution environment explained the efficiency of the algorithms, they are compatible with the designed environment, it provides safe movements (without hitting obstacles) and a good system control performance. A Comparison table is also provided.
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Hemadhribotla, Sandeep, T. Krishna Chaitanya, T. Rahul, and Mallikarjun Mudda. "Heart Rate Data Transmitter through GSM." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 971–78. http://dx.doi.org/10.22214/ijraset.2022.43913.
Анотація:
Abstract— The heart rate data collected by analogue sensors is converted to digital and sent to the concerned mobile phone through GSM module. This proposal aims to use a wireless network to continuously monitor a cardiac patient. ECG equipment are commonly used to monitor the condition of heart patients, however because of their complexity, their output cannot be communicated. As a result, a simple method known as the 'Plethysmograph' is described here to measure the pulse rate. Blood is discharged from the ventricles when the heart muscle contracts, and a pulse of pressure is delivered through the circulatory system of the human body. This pressure pulse can be felt at the tips of the fingers: blood flow can be tracked with IR sensors for this purpose. The setup is such that infrared light emitted by an IR led passes through the finger tip, and the IR energy transmitted through the finger is measured using an infrared sensor at the other end. The IR energy that is given through the blood intensity of the finger will vary slightly depending on the blood flow through the tip. These minute changes are recognised and proportionate digital pulses are created via op-amp because both sensors are positioned in a clip parallel to each other. The microcontroller unit is set up to count and display the pulses based on these signals. The LCD is used in the display part, and the same data is sent to all of the computer processor's concern cellphone number.When the system counts and displays the pulse rate per minute, if it is higher or lower than the average value, an alert is activated automatically, and data is sent to the concerned mobile phone via the GSM module. Keywords—component, formatting, style, styling, insert (key words)
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Debata, Suchismita, Rupa Mantoliya, Veena Sahithi, and Venkata Ratnam Kolluru. "Implementation of IoT based smart street light intensity control system using IR and LDR sensors." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 316. http://dx.doi.org/10.14419/ijet.v7i2.7.10605.
Анотація:
This research article gives an idea about advancements in energy saving of street lights and to reduce the power consumption. The pro-gramming terminology for building up the product to the Arduino board at long last, the framework has been effectively outlined and executed. Mainly using two sensor IR and LDR sensor to implement intensity control of street light.IR sensor is use to detect the motion of the objects and LDR (light dependent resistor) used to recognize day-evening. When light falls on the LDR depending on resistance of light the intensity of light is decreased or increase. The street light is automatically ON in evening 6pm and OFF till morning. Through mobile app also we can operate the street light. Using Arduino board for implementing the intensity control of street light.
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Helshani, Laurik, Jusuf Qarkaxhija, and Blerta Prevalla. "Sensor Based Algorithm for Self-Navigating Robot Using Internet of Things (IoT)." International Journal of Interactive Mobile Technologies (iJIM) 16, no. 23 (December 8, 2022): 99–108. http://dx.doi.org/10.3991/ijim.v16i23.36213.
Анотація:
Abstract— The purpose of this paper is to show the design technique and programming of an autonomous robot prototype that can go to a predetermined location and return to its starting place utilizing the Global Positioning System (GPS). An HD camera along with an ultrasonic sensor and two IR sensors is used to provide necessary data from the real world to the robot to avoid obstructions, by following GPS Waypoints. A smart algorithm was introduced for path planning and re-planning. The robot can modify its direction using a digital compass reading and input from sensors by computing the heading angle from the current GPS point. This self-navigation mobile robot's accuracy was evaluated in several locations and is quantified in terms of heading angle and path length from the starting point to the goal point.
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Avraham, Moshe, Jonathan Nemirovsky, Tanya Blank, Gady Golan, and Yael Nemirovsky. "Toward an Accurate IR Remote Sensing of Body Temperature Radiometer Based on a Novel IR Sensing System Dubbed Digital TMOS." Micromachines 13, no. 5 (April 29, 2022): 703. http://dx.doi.org/10.3390/mi13050703.
Анотація:
A novel uncooled thermal sensor based on a suspended transistor, fabricated in standard CMOS-SOI process, and released by dry etching, dubbed Digital TMOS, has been developed. Using the transistor as the sensing element has advantages in terms of internal gain, low power, low-cost technology, and high temperature sensitivity. A two channel radiometer, based on the new nano-metric CMOS-SOI-NEMS Technology, enables remote temperature sensing as well as emissivity sensing of the forehead and body temperatures of people, with high accuracy and high resolution. Body temperature is an indicator of human physiological activity and health, especially in pediatrics, surgery, and general emergency departments. This was already recognized in past pandemics such as SARS, EBOLA, and Chicken Flu. Nowadays, with the spread of COVID-19, forehead temperature measurements are used widely to screen people for the illness. Measuring the temperature of the forehead using remote sensing is safe and convenient and there are a large number of available commercial instruments, but studies show that the measurements are not accurate. The surface emissivity of an object has the most significant effect on the measured temperature by IR remote sensing. This work describes the achievements towards high–performance, low-cost, low power, mobile radiometry, to rapidly screen for fever to identify victims of the coronavirus (COVID-19). The main two aspects of the innovation of this study are the use of the new thermal sensor for measurements and the extensive modeling of this sensor.
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Bhawana Bharti, Indu Bharadwaj, and Ajay Bhardwaj Ajay Bhardwaj. "SMART KITCHEN USING IOT." Global Journal of Innovation and Emerging Technology 1, no. 2 (January 20, 2023): 27–31. http://dx.doi.org/10.58260/j.iet.2202.0110.
Анотація:
The purpose of this paper is to highlight the many features of the Internet of Things and their relevance in the smart kitchens. By different technologies and their applications smart kitchens have been covered. Different types of appliances have been described, as well as their applications in the smart kitchen. In recent years, the number of kitchen-related issue has been increased in domestic kitchen as well as commercial kitchens. Integrating IoT technology can keep away from these types of situation, such as remote monitoring of the entire kitchen via applications, messages, Gmail, Bluetooth, and Wi-Fi. Both hardware and software will be used for making smart kitchen. On the hardware part MQ2(Gas) sensor, Pressure sensors, DHT11 sensors, IR sensor is used in this. An integrated cloud application as well as a mobile app were used in software. For cloud data transfer, all of the sensors will be attached to an Arduino Uno board, and the software and coding will be handled by Porteous. By implementing the smart kitchen, it can be help people to make life easier in this busy world.
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Essa, Mohamed El-Sayed M., Ahmed M. El-shafeey, Amna Hassan Omar, Adel Essa Fathi, Ahmed Sabry Abo El Maref, Joseph Victor W. Lotfy, and Mohamed Saleh El-Sayed. "Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System." Sustainability 15, no. 3 (January 24, 2023): 2168. http://dx.doi.org/10.3390/su15032168.
Анотація:
In this paper, Internet of Things (IoT) and artificial intelligence (AI) are employed to solve the issue of energy consumption in a case study of an education laboratory. IoT enables deployment of AI approaches to establish smart systems and manage the sensor signals between different equipment based on smart decisions. As a result, this paper introduces the design and investigation of an experimental building management system (BMS)-based IoT approach to monitor status of sensors and control operation of loads to reduce energy consumption. The proposed BMS is built on integration between a programmable logic controller (PLC), a Node MCU ESP8266, and an Arduino Mega 2560 to perform the roles of transferring and processing data as well as decision-making. The system employs a variety of sensors, including a DHT11 sensor, an IR sensor, a smoke sensor, and an ultrasonic sensor. The collected IoT data from temperature sensors are used to build an artificial neural network (ANN) model to forecast the temperature inside the laboratory. The proposed IoT platform is created by the ThingSpeak platform, the Bylink dashboard, and a mobile application. The experimental results show that the experimental BMS can monitor the sensor data and publish the data on different IoT platforms. In addition, the results demonstrate that operation of the air-conditioning, lighting, firefighting, and ventilation systems could be optimally monitored and managed for a smart system with an architectural design. Furthermore, the results prove that the ANN model can perform a distinct temperature forecasting process based on IoT data.
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Sobreira, Heber, A. Paulo Moreira, Paulo Costa, and José Lima. "Robust mobile robot localization based on a security laser: an industry case study." Industrial Robot: An International Journal 43, no. 6 (October 17, 2016): 596–606. http://dx.doi.org/10.1108/ir-01-2016-0026.
Анотація:
Purpose This paper aims to address a mobile robot localization system that avoids using a dedicated laser scanner, making it possible to reduce implementation costs and the robot’s size. The system has enough precision and robustness to meet the requirements of industrial environments. Design/methodology/approach Using an algorithm for artificial beacon detection combined with a Kalman Filter and an outlier rejection method, it was possible to enhance the precision and robustness of the overall localization system. Findings Usually, industrial automatic guide vehicles feature two kinds of lasers: one for navigation placed on top of the robot and another for obstacle detection (security lasers). Recently, security lasers extended their output data with obstacle distance (contours) and reflectivity. These new features made it possible to develop a novel localization system based on a security laser. Research limitations/implications Once the proposed methodology is completely validated, in the future, a scheme for global localization and failure detection should be addressed. Practical implications This paper presents a comparison between the presented approach and a commercial localization system for industry. The proposed algorithms were tested in an industrial application under realistic working conditions. Social implications The presented methodology represents a gain in the effective cost of the mobile robot platform, as it discards the need for a dedicated laser for localization purposes. Originality/value This paper presents a novel approach that benefits from the presence of a security laser on mobile robots (mandatory sensor when considering industrial applications), using it simultaneously with other sensors, not only to guarantee safety conditions during operation but also to locate the robot in the environment. This paper is also valuable because of the comparison made with a commercialized system, as well as the tests conducted in real industrial environments, which prove that the approach presented is suitable for working under these demanding conditions.
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Cernohorsky, Josef, and Pavel Jandura. "Robotic Plug-in Combined Charging System with Improved Robustness." Proceedings 42, no. 1 (November 14, 2019): 11. http://dx.doi.org/10.3390/ecsa-6-06550.
Анотація:
This paper describes the development of an algorithm robotic plug-in of a charging system for mobile platform. In the first chapter, there is a short overview of possibilities of automatic plug-in system, including proprietary industrial solution. In the main part, there is a description of the system based on UR robot with build-in force torque sensors and Intel RealSense Camera. This camera combines IR depth lens with regular RGB camera and six DOF inertial sensor, which is used in our application too. The conventional solution of this problem is usually based on RGB image processing in various state of the art, from simple pattern matching, neural network, or genetic algorithm to complex AI solution. The quality of the solution mostly depends on robustness of image processing. In our cases, we use simple sensor fusion. Thanks to multiple information and constrain of values, we can assume, if the algorithm is proceeding successfully or not. The system uses the internal parameters of the robotic arm, e.g., end-effector position and orientation and force-torque information in tool center point. The next information is RGB camera image and camera depth image, and the inertial unit build in camera. The other important information is the location of the vehicle inlet on the mobile platform, where the shape of mobile platform is considered as a constrain for image processing. The system is validated only on a physical model with CCS type 2 plug and vehicle inlet, because the mobile platform is under construction by another team.
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Guo, Fu Qin, and Yuan Qing Wang. "Study of Remote Sensing and Remote Sensing Robot Technology." Applied Mechanics and Materials 214 (November 2012): 914–18. http://dx.doi.org/10.4028/www.scientific.net/amm.214.914.
Анотація:
Remote sensing robot technology is an emerging research area, which attains a development in recent years. In this paper, the definitions of remote sensing and robot remote sensing will be discussed, and then the remote mines detection technology of RAT-1 eight-wheeled robot, the application of IR-optical sensor in mobile robot for detection and source location of gas leakage, the monitoring of environment intelligent robot on environment and the positioning of mobile robot on targets and other focuses are emphatically introduced, and finally the important problems in each application as well as possible development of remote sensing robot technology are proposed.
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Chen, Nutan, Keng Peng Tee, and Chee-Meng Chew. "Teleoperation grasp assistance using infra-red sensor array." Robotica 33, no. 4 (March 24, 2014): 986–1002. http://dx.doi.org/10.1017/s0263574714000733.
Анотація:
SUMMARYTeleoperated grasping requires the abilities to follow the intended trajectory from the user and autonomously search for a suitable pre-grasp pose relative to the object of interest. Challenges include dealing with uncertainty due to the noise of the teleoperator, human elements and calibration errors in the sensors. To address these challenges, an effective and robust algorithm is introduced to assist grasping during teleoperation. Although without premature object contact or regrasping strategies, the algorithm enables the robot to perform online adjustments to reach a pre-grasp pose before final grasping. We use three infrared (IR) sensors that are mounted on the robot hand, and design an algorithm that controls the robot hand to grasp objects using the information from the sensors' readings and the interface component. Finally, a series of experiments demonstrate that the system is robust when grasping a wide range of objects and tracking slow-moving mobile objects. Empirical data from a five-subject user study allows us to tune the relative contributions from the IR sensors and the interface component so as to achieve a balance of grasp assistance and teleoperation.
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Madhuri, T. N. P., P. K. Abhilash, G. Vineel Sai, K. Krishna Sai Gowtham, Manoj Kumar Sharma, and Jagadish Shrisaila Haranatt. "Sustainable Smart Helmet For Coal Miners." E3S Web of Conferences 430 (2023): 01099. http://dx.doi.org/10.1051/e3sconf/202343001099.
Анотація:
The “Sustainable Smart Safety Helmet for Coal Miners” paper aims to enhance the safety and well-being of coal miners by implementing an innovative monitoring system. The paper utilizes the ESP32 microcontroller, integrated with a suite of sensors, including DHT11 for temperature and humidity measurement, MQ135 for gas detection, IR Sensor for helmet status monitoring, and a Heartbeat Sensor for real-time pulse rate tracking. A Buzzer is also integrated to provide immediate audible alerts when potential hazards are detected. The system continuously collects sensor data in real-time, which is then processed and analysed within the ESP32 microcontroller. The data is transmitted to a user-friendly mobile application developed using Blynk. Through the Blynk app, miners and relevant personnel receive critical information regarding environmental conditions and the miners' vital signs. In case of any hazardous conditions, the system generates prompt alerts, triggering the Buzzer and sending notifications to the app to ensure timely responses to potential threats. By combining advanced sensor technology, real-time data monitoring, and swift alert mechanisms, this paper endeavours to safeguard the lives of coal miners in hazardous working environments, providing them with a smart safety solution and empowering them to work with increased confidence and security.
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Arbula, Damir, and Sandi Ljubic. "Indoor Localization Based on Infrared Angle of Arrival Sensor Network." Sensors 20, no. 21 (November 4, 2020): 6278. http://dx.doi.org/10.3390/s20216278.
Анотація:
Accurate, inexpensive, and reliable real-time indoor localization holds the key to the full potential of the context-aware applications and location-based Internet of Things (IoT) services. State-of-the-art indoor localization systems are coping with the complex non-line-of-sight (NLOS) signal propagation which hinders the use of proven multiangulation and multilateration methods, as well as with prohibitive installation costs, computational demands, and energy requirements. In this paper, we present a novel sensor utilizing low-range infrared (IR) signal in the line-of-sight (LOS) context providing high precision angle-of-arrival (AoA) estimation. The proposed sensor is used in the pragmatic solution to the localization problem that avoids NLOS propagation issues by exploiting the powerful concept of the wireless sensor network (WSN). To demonstrate the proposed solution, we applied it in the challenging context of the supermarket cart navigation. In this specific use case, a proof-of-concept navigation system was implemented with the following components: IR-AoA sensor prototype and the corresponding WSN used for cart localization, server-side application programming interface (API), and client application suite consisting of smartphone and smartwatch applications. The localization performance of the proposed solution was assessed in, altogether, four evaluation procedures, including both empirical and simulation settings. The evaluation outcomes are ranging from centimeter-level accuracy achieved in static-1D context up to 1 m mean localization error obtained for a mobile cart moving at 140 cm/s in a 2D setup. These results show that, for the supermarket context, appropriate localization accuracy can be achieved, along with the real-time navigation support, using readily available IR technology with inexpensive hardware components.
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Xu, He, Yan Xu, Peiyuan Wang, Hongpeng Yu, Ozoemena Anthony Ani, and X. Z. Gao. "Measurement of wheel-terrain contact angle for WMRs on rough terrain using laser scanning sensor." Industrial Robot: An International Journal 44, no. 6 (October 16, 2017): 798–807. http://dx.doi.org/10.1108/ir-03-2017-0053.
Анотація:
Purpose The purpose of this paper is to explore a novel measurement approach for wheel-terrain contact angle using laser scanning sensors based on near-terrain perception. Laser scanning sensors have rarely been applied to the measurement of wheel-terrain contact angle for wheeled mobile robots (WMRs) in previous studies; however, it is an effective way to measure wheel-terrain contact angle directly with the advantages of simple, fast and high accuracy. Design/methodology/approach First, kinematics model for a WMR moving on rough terrain was developed, taking into consideration wheel slip and wheel-terrain contact angle. Second, the measurement principles of wheel-terrain contact angle using laser scanning sensors was presented, including “rigid wheel - rigid terrain” model and “rigid wheel - deformable terrain” model. Findings In the proposed approach, the measurement of wheel-terrain contact angle using laser scanning sensors was successfully demonstrated. The rationality of the approach was verified by experiments on rigid and sandy terrains with satisfactory results. Originality/value This paper proposes a novel, fast and effective wheel-terrain contact angle measurement approach for WMRs moving on both rigid and deformable terrains, using laser scanning sensors.
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Pandey, Ayushi, Pranjali Mathkari, Prachi Agrawal, Koushiki Soni, and Anshul Kaushik. "Design of Unmanned Landmine Detection Vehicle Using Arduino." June-July 2023, no. 34 (May 25, 2023): 1–12. http://dx.doi.org/10.55529/jaimlnn.34.1.12.
Анотація:
The concept presented in this article revolves around the idea of an economically designed UGV (Unmanned Ground Vehicle) for the demining process. Landmine discovery is a critical area of exploration due to the high number of losses and injuries caused by landmines each time. The developed technology generally requires human assistance nearby for landmine detection. Every so often the military bear loss of their equipment specialists. Also, false detection leads to the wastage of resources invested in the technology. Our prime aim is to develop a sturdy design for UGV which require minimum assembly time i.e., “Ready-to-Assemble” concept. This paper outlines the design of a UGV equipped with IR sensor, and metal detector and controlled using Arduino microcontroller. The Arduino microcontrollers are programmed to control the UGV’s movements and the sensor data processing. The UGV is built on a six-wheel drive controlled by two motor drivers, which is equipped with IR sensor to detect the heat signature of buried landmines and a metal detector to detect metallic landmines. The GPS location of the landmine is sent directly to a mobile device using a GSM Module. The UGV is controlled using Bluetooth remotely. The design of the vehicle was performed on Solidworks, CAD software. The software was used to design the chassis, suspension system, and other components such as the metal detector and IR sensor mounts. Proteus software was used to stimulate the electronic circuitry. The UGV has potential applications in detecting and removing landmines safely, minimizing the risk of human casualties. Future work could involve improving the system's accuracy and efficiency to make it a more effective tool for landmine detection and removal.
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Fan, Fei, Qiaoling Ji, Gongping Wu, Man Wang, Xuhui Ye, and Quanjie Mei. "Dynamic Barrier Coverage in a Wireless Sensor Network for Smart Grids." Sensors 19, no. 1 (December 22, 2018): 41. http://dx.doi.org/10.3390/s19010041.
Анотація:
The development of engineering technology such as inspection robots (IR) for transmission lines and wireless sensor networks (WSN) are widely used in the field of smart grid monitoring. However, how to integrate inspection robots into wireless sensor networks is still a great challenge to form an efficient dynamic monitoring network for transmission lines. To address this problem, a dynamic barrier coverage (DBC) method combining inspection robot and wireless sensor network (WSN) is proposed to realize a low-cost, energy-saving and dynamic smart grid-oriented sensing system based on mobile wireless sensor network. To establish an effective smart grid monitoring system, this research focuses on the design of an effective and safe dynamic network coverage and network nodes deployment method. Multiple simulation scenarios are implemented to explore the variation of network performance with different parameters. In addition, the dynamic barrier coverage method for the actual scene of smart grid monitoring considers the balance between network performance and financial costs.
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K, Ramya. "RFID BASED BUS TICKETING SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 7, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem32850.
Анотація:
The main objective of this paper is to generate passenger tickets using RFID technology for the fare of a particular destination. The appropriate amount is deducted from the RFID card. In addition to that, in proposal system RFID has proven to be one of the most promising technologies in recent years and can be effectively employed in various applications since it is economical and widely used tool for tracking and locating purposes.Radio-frequency identification (RFID) is a technology that uses electromagnetic fields to automatically identify and track tags attached to objects .A small radio transponder, a radio receiver, and a radio transmitter make up an RFID system The RFID application, on the other hand, has become a popular tool for both tracking transit vehicles and the public ticketing system describes a design of IoT enabled real time bus tracking system There is an mobile app to recharge the RFID card.The message of money transaction is send to the users registered mobile number.The main aim of this project is to reduce the fraud in ticket transaction.The bus door will open only after scanning the RFID card.In this project we use IR sensor to detect the passengers entry and exit from the bus.When the passenger scan the RFID card then the LCD display shows the passengers information like their name,RFID card number,account balance.The ticket price is based on the distance travelled in the bus.This system also used to prevent the unfair ticket price for transportation.If the RFID card is missing then the passenger can able to block the RFID card to prevent unauthorized access.Public transportation is a significant role for methods among individuals. Key words—Radio Frequency Identification System (RFID), Infrared sensor (IR sensor).
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Wang, Yong, Weidong Chen, and Jingchuan Wang. "Map-based localization for mobile robots in high-occluded and dynamic environments." Industrial Robot: An International Journal 41, no. 3 (May 13, 2014): 241–52. http://dx.doi.org/10.1108/ir-06-2013-371.
Анотація:
Purpose – The purpose of this paper is to propose a localizability-based particle filtering localization algorithm for mobile robots to maintain localization accuracy in the high-occluded and dynamic environments with moving people. Design/methodology/approach – First, the localizability of mobile robots is defined to evaluate the influences of both the dynamic obstacles and prior-map on localization. Second, based on the classical two-sensor track fusion algorithm, the odometer-based proposal distribution function (PDF) is corrected, taking account of the localizability. Then, the corrected PDF is introduced into the classical PF with “roulette” re-sampling. Finally, the robot pose is estimated according to all the particles. Findings – The experimental results show that, first, it is necessary to consider the influence of the prior-map during the localization in the high-occluded and dynamic environments. Second, the proposed algorithm can maintain an accurate and robust robot pose in the high-occluded and dynamic environments. Third, its real timing is acceptable. Research limitations/implications – When the odometer error and occlusion caused by the dynamic obstacles are both serious, the proposed algorithm also has a probability evolving into the kidnap problem. But fortunately, such serious situations are not common in practice. Practical implications – To check the ability of real application, we have implemented the proposed algorithm in the campus cafeteria and metro station using an intelligent wheelchair. To better help the elderly and disabled people during their daily lives, the proposed algorithm will be tested in a social welfare home in the future. Original/value – The localizability of mobile robots is defined to evaluate the influences of both the dynamic obstacles and prior-map on localization. Based on the localizability, the odometer-based PDF is corrected properly.
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Shaiful, Ahmad Afiq Ahmad, Romiza Md Nor, and Huzaifah A Hamid. "Monitoring Electric Power Wheelchair Battery Consumption Level via Mobile." Journal of Computing Research and Innovation 5, no. 4 (November 2, 2020): 54–58. http://dx.doi.org/10.24191/jcrinn.v5i4.140.
Анотація:
Nowadays, power wheelchair is one of the most important vehicles for people with physical disabilities such as paralysis, stroke, handicap and many more. Electric wheelchair which is also called electric - power wheelchair or powerchair can be moved by an el ectrically based power source, regularly motor or batteries. It is very important to have frequent monitoring battery level because power wheelchair need sufficient battery level for it to be moved around. Therefore, this project is developed to monitor th e battery consumption level and real time battery monitoring. Current sensor is used to measure the current state of the battery level. In this project, Internet of Things (IoT) concept is applied where sensor and mobile application is integrated and know n as BLife. Blife was designed using the visibility of the system status principles which consist of knowledge is power, appropriate feedback, compel user to action and communication creates trusts. If the battery is in the lower state, the power wheelcha ir users will be informed through mobile application via an indicator informing that it needs to be recharged. Moreover, the current location of the power wheelchair user is also notified to the users’ caretaker. Evaluation of Blife were conducted using fu nctionality and usability testing based on visibility of the system status technique. Most of the respondents are satisfied and gave positive feedback. This project is a great contribution to disable people who has limited access to charge battery and to a lert them on their battery level status.
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Reddy, P. Siva Nagendra, and P. Ajay Kumar Reddy. "Fuel Monitoring, Vehicle Tracking And Security System Using Arduino Mega." Journal of Artificial Intelligence, Machine Learning and Neural Network, no. 11 (August 17, 2021): 1–9. http://dx.doi.org/10.55529/jaimlnn.11.1.9.
Анотація:
In present world many people’s having their own Vehicles. Fuel is essential to run vehicle. The main aim of this paper is monitor fuel in vehicles and provides security to the vehicles. Vehicle tracking and accident alert system also implemented in this design. This system contains GSM module, GPS,IR sensor, Ultra Sonic sensor, Vibrate sensor, Fuel flow sensor, Arduino Mega, Motor and keypad. Fuel flow sensor is used to detect the amount fuel filling at petrol bunk and it will display filled amount of fuel on LCD. Ultrasonic sensor is used to measure fuel level in vehicle. GSM is used to send messages about fuel levels, vehicle location, security password and accident alerts. Whenever ignition will be ON, one time password (OTP) will be send to registered mobile number. After entered correct OTP using keypad, then only vehicle will starts. If anyone entered wrong password it will give an alarm. Vibration sensor is used to detect accidents to the particular vehicle. Whenever accident happens to particular vehicle it will send an alert message to the concerned persons about current location of the vehicle. Such that we can save many lives of peoples by intimating to the surrounding hospitals and higher authorities in proper time. In this design Arduino Mega is used as a controller
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Reddy, P. Siva Nagendra, and P. Ajay Kumar Reddy. "Fuel Monitoring, Vehicle Tracking And Security System Using Arduino Mega." Journal of Artificial Intelligence, Machine Learning and Neural Network, no. 11 (August 17, 2021): 1–9. http://dx.doi.org/10.55529/jaimlnn11.1.9.
Анотація:
In present world many people’s having their own Vehicles. Fuel is essential to run vehicle. The main aim of this paper is monitor fuel in vehicles and provides security to the vehicles. Vehicle tracking and accident alert system also implemented in this design. This system contains GSM module, GPS,IR sensor, Ultra Sonic sensor, Vibrate sensor, Fuel flow sensor, Arduino Mega, Motor and keypad. Fuel flow sensor is used to detect the amount fuel filling at petrol bunk and it will display filled amount of fuel on LCD. Ultrasonic sensor is used to measure fuel level in vehicle. GSM is used to send messages about fuel levels, vehicle location, security password and accident alerts. Whenever ignition will be ON, one time password (OTP) will be send to registered mobile number. After entered correct OTP using keypad, then only vehicle will starts. If anyone entered wrong password it will give an alarm. Vibration sensor is used to detect accidents to the particular vehicle. Whenever accident happens to particular vehicle it will send an alert message to the concerned persons about current location of the vehicle. Such that we can save many lives of peoples by intimating to the surrounding hospitals and higher authorities in proper time. In this design Arduino Mega is used as a controller
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Kanand, T., G. Kemper, R. König, and H. Kemper. "WILDFIRE DETECTION AND DISASTER MONITORING SYSTEM USING UAS AND SENSOR FUSION TECHNOLOGIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 22, 2020): 1671–75. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1671-2020.
Анотація:
Abstract. Based on a research program founded by the German Ministry of Traffic and Data Infrastructure, the use of 5G mobile network for modern advanced technologies should be developed and tested. This paper shows the integration of UAS, Multiple Sensor Integration, autonomous UAS Missions and online Geodata handling for the detection of wildfires in a rural region of Saxony / East Germany and the strategy for making use of the upcoming 5G Network. In our project we go a step deeper and combine VIS and Thermal IR cameras in a co-registered way to overlay the images, transfer data of multi-observation poles into a center and perform an automated analysis to detect smoke or hotspots and add to a first estimated localization. The technological advance applied on real project areas means an important step for further applications of UAS and Sensor Fusion Technologies.
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Zhang, Guo Peng, and Bo Wang. "Research and Application of Robotics Remote Sensing." Advanced Materials Research 328-330 (September 2011): 2074–78. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.2074.
Анотація:
The paper takes robotics remote sensing as research background. Robotics remote sensing is a newly developed research area. Compared with traditional remote sensing and robotics technology, definition of robotics remote sensing is discussed in the first part. In the second part, the paper combines the latest international and domestic research references and practical robotics application platform. It mainly studies robotics remote sensing on eight-wheeled robot RAT-1 for mine sensing, mobile robot with IR-optical sensor for gas leak detection and source localization, ambient intelligent robot for environmental surveillance, mobile robot for object localization and other hot research points. Because of its new appearance, studies of robotics remote sensing are not matured. So the paper also indicates key problems existed in each application and predicts three most possible development aspects of robotics remote sensing at last.
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Gruber, Thomas C. "To Stand and Protect." Mechanical Engineering 126, no. 02 (February 1, 2004): 40–41. http://dx.doi.org/10.1115/1.2004-feb-4.
Анотація:
This article discusses features of infrared (IR) spectrometers. These spectrometers detect the spectral fingerprints of deadly agents like sarin and mustard gas. The Mobile Chemical Agent Detector (MCAD) uses a Fourier transform infrared spectrometer to detect the spectral fingerprints of deadly agents like sarin and mustard gas. It can also detect many industrial chemicals, including phosgene, ammonia, and methane. The spectrometers, supplied by Block, are the most expensive part of the MCAD system, which at its present manufacturing volume costs several hundred thousand dollars. MCAD generates 12 detection results a second as it monitors the atmosphere in real time. Results are displayed on a laptop. Applications for these sensors range from use by first responders to soldiers on the battlefield. They can also monitor industrial sites. Micro Engineering Software and Hardware has developed a stationary version for use at the Dugway Proving Ground in Utah to support chemical sensor field-testing. The company calls this one the Chemical Cloud Tracking System.
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Yuan, Rupeng, Fuhai Zhang, Jiadi Qu, Guozhi Li, and Yili Fu. "A novel obstacle avoidance method based on multi-information inflation map." Industrial Robot: the international journal of robotics research and application 47, no. 2 (August 24, 2019): 253–65. http://dx.doi.org/10.1108/ir-05-2019-0114.
Анотація:
Purpose This paper aims to provide a novel obstacle avoidance method based on multi-information inflation map. Design/methodology/approach In this paper, the multi-information inflation map is introduced, which considers different information, including a two-dimensional grid map and a variety of sensor information. The static layer of the map is pre-processed at first. Then sensor inputs are added in different semantic layers. The processed information in semantic layers is used to update the static layer. The obstacle avoidance algorithm based on the multi-information inflation map is able to generate different avoidance paths for different kinds of obstacles, and the motion planning based on multi-information inflation map can track the global path and drive the robot. Findings The proposed method was implemented on a self-made mobile robot. Four experiments are conducted to verify the advantages of the proposed method. The first experiment is to demonstrate the advantages of the multi-information inflation map over the layered cost map. The second and third experiments verify the effectiveness of the obstacle avoidance path generation and motion planning. The fourth experiment comprehensively verifies that the obstacle avoidance algorithm is able to deal with different kinds of obstacles. Originality/value The multi-information inflation map proposed in this paper has better performance than the layered cost maps. As the static layer is pre-processed, the computational efficiency is higher. Sensor information is added in semantic layers with different cost attenuation coefficients. All layers are reset before next update. Therefore, the previous state will not affect the current situation. The obstacle avoidance and motion planning algorithm based on the multi-information inflation map can generate different paths for different obstacles and drive a robot safely and control the velocity according to different conditions.
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Sørensen, Morten K., Nicholas M. Balsgart, Michael Beyer, Ole N. Jensen, and Niels Chr Nielsen. "On-Site Measurement of Fat and Protein Contents in Milk Using Mobile NMR Technology." Molecules 27, no. 3 (January 18, 2022): 583. http://dx.doi.org/10.3390/molecules27030583.
Анотація:
Robust and easy-to-use NMR sensor technology is proposed for accurate, on-site determination of fat and protein contents in milk. The two parameters are determined using fast consecutive 1H and 35Cl low-field NMR experiments on milk samples upon the 1:1 addition of a low-cost contrast solution. Reliable and accurate measurements are obtained without tedious calibrations and the need for extensive database information and may readily be conducted by non-experts in production site environments. This enables on-site application at farms or dairies, or use in laboratories harvesting significant reductions in costs and time per analysis as compared to wet-chemistry analysis. The performance is demonstrated for calibration samples, various supermarket milk products, and raw milk samples, of which some were analyzed directly in the milking room. To illustrate the wide application range, the supermarket milk products included both conventionally/organically produced, lactose-free milk, cow’s, sheep’s and goat’s milk, homogenized and unhomogenized milk, and a broad nutrient range (0.1–9% fat, 1–6% protein). Excellent agreement between NMR measurements and reference values, without corrections or changes in calibration for various products and during extensive periods of experiment conduction (4 months) demonstrates the robustness of the procedure and instrumentation. For the raw milk samples, correlations between NMR and IR, NMR and wet-chemistry, as well as IR and wet-chemistry results, show that NMR, in terms of accuracy, compares favorably with the other methods.
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Jia, Feiyu, Misha Afaq, Ben Ripka, Quamrul Huda, and Rafiq Ahmad. "Vision- and Lidar-Based Autonomous Docking and Recharging of a Mobile Robot for Machine Tending in Autonomous Manufacturing Environments." Applied Sciences 13, no. 19 (September 26, 2023): 10675. http://dx.doi.org/10.3390/app131910675.
Анотація:
Autonomous docking and recharging are among the critical tasks for autonomous mobile robots that work continuously in manufacturing environments. This requires robots to demonstrate the following abilities: (i) detecting the charging station, typically in an unstructured environment and (ii) autonomously docking to the charging station. However, the existing research, such as that on infrared range (IR) sensor-based, vision-based, and laser-based methods, identifies many difficulties and challenges, including lighting conditions, severe weather, and the need for time-consuming computation. With the development of deep learning techniques, real-time object detection methods have been widely applied in the manufacturing field for the recognition and localization of target objects. Nevertheless, those methods require a large amount of proper and high-quality data to achieve a good performance. In this study, a Hikvision camera was used to collect data from a charging station in a manufacturing environment; then, a dataset for the wireless charger was built. In addition, the authors of this paper propose an autonomous docking and recharging method based on the deep learning model and the Lidar sensor for a mobile robot operating in a manufacturing environment. In the proposed method, a YOLOv7-based object detection method was developed, trained, and evaluated to enable the robot to quickly and accurately recognize the charging station. Mobile robots can achieve autonomous docking to the charging station using the proposed Lidar-based approach. Compared to other methods, the proposed method has the potential to improve recognition accuracy and efficiency and reduce the computation costs for the mobile robot system in various manufacturing environments. The developed method was tested in real-world scenarios and achieved an average accuracy of 95% in recognizing the target charging station. This vision-based charger detection method, if fused with the proposed Lidar-based docking method, can improve the overall accuracy of the docking alignment process.
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Che Zalina Zulkifli, Suliana Sulaiman, Abu Bakar Ibrahim, Chin Fhong Soon, Nor Hazlyna Harun, Nur Hanis Hayati Hairom, Muhammad Ikhsan Setiawan, and Ho Hong Chiang. "Smart Platform for Water Quality Monitoring System using Embedded Sensor with GSM Technology." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 95, no. 1 (June 18, 2022): 54–63. http://dx.doi.org/10.37934/arfmts.95.1.5463.
Анотація:
Point and non -point sources Surface water pollution causes damaging effects to the environment, aquatic life and human health. Thirty existing water monitoring stations use Industrial Revolution (IR) 3.0 technology with limited access to the public. A multi-sensory hub with Internet-of-Things (IoT) functionality can be developed to monitor river health and data collected continuously through the Global System for Mobile Communications (GSM) and cloud systems that inform locals about water quality index (WQ) for reducing the likelihood of early. harmful effects produced from oil palm plantations in Sungai Semborong, Batu Pahat, Johor. The inclusion of machine learning into the system will help classify and estimate pollutant types. The potential for pollution reduction using Algae balls is proposed and will be investigated. The methodology that will be used in this research is the Design and development Research (DDR) study. The objective is to design and develop a GSM cloud-based multi-sensor system to monitor river health related parameters such as dissolved electrical conductivity (EC), acidity (pH), dissolved oxygen (DO) and oxygen reduction potential (ORP) b) to develop modeling solid real -time WQ forecasts. Expected discoveries are an IoT -based multi-sensor system with machine learning data analysis capabilities, a new machine learning model for pollution estimation and the discovery of effective methods to treat polluted water using green technology. As such, the project addresses two sustainable development (SDG) objectives, to provide clean water and protect underwater life as gazetted in the national water resources policy.
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Bawane, Dnyaneshwar G. "A Study on Drone Based Mine Detection and Diffusion System: Present Scenario and Potential Prospects." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (May 31, 2024): 3414–17. http://dx.doi.org/10.22214/ijraset.2024.62365.
Анотація:
Abstract: Decades-long issues are caused by explosive remnants of war (ERW) and landmines that remain subterranean during times of conflict. Therefore, it is critical to promptly identify concealed explosive devices and secure the former zones of conflict. The sensor is affixed to the drone via a stabilization robot that possesses a bouncing motion that enables the detector to precisely survey the ground.. After knowing location of mines, its getting diffuser destroy by using drones .Due to drones mines detection is getting easy than manually or mobile vehicle tracking. Here we are focusing on GPR (Ground Penetrating Radar) and IR(Infrared)sensor for detecting land mines below the ground also we using a camera to know the precise location of mine. For defusing mine dead-weight is used. Dead-weight is thrown from drone to destroy mines. By using drones it is convenient to cover more area in less time. This research aims to produce a technical reference that increases awareness and understanding of unmanned aerial vehicle (UAV) monitoring in Massachusetts, in addition to evaluating its environmental, mining, and reclamation applications.
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Bogue, Robert. "Domestic robots: Has their time finally come?" Industrial Robot: An International Journal 44, no. 2 (March 20, 2017): 129–36. http://dx.doi.org/10.1108/ir-01-2017-0018.
Анотація:
Purpose This paper aims to provide details of commercially available domestic robots and recent product developments and consider whether a significant boost in the robot population is imminent. Design/methodology/approach Following a short introduction, this paper first provides a brief overview of existing domestic robots and identifies recent product trends. It then discusses some newer product developments which extend the capabilities of domestic robots. This is followed by a consideration of the many recently launched companion robots, and the paper concludes with a discussion of the likely impact on the domestic robot market. Findings This paper shows that domestic robots have benefited from developments in artificial intelligence, sensor technology and connectivity, which have led to greater versatility and enhanced ease of use. Several new product developments are extending the range of functions conducted by domestic robots. Many small, mobile companion/social robots have recently been developed which interact with humans by speech and vision and conduct functions such as entertainment, the control of household appliances and security. Originality/value This paper provides an insight into the wide range of domestic robots which are available or under development and considers their commercial prospects.
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Sargunar Thomas, Jaya Christa, Suhidhana Manikandarajan, and Tinaga Kamalakkannan Subha. "AI based pest detection and alert system for farmers using IoT." E3S Web of Conferences 387 (2023): 05003. http://dx.doi.org/10.1051/e3sconf/202338705003.
Анотація:
Agriculture plays an important role in economy and it is the backbone of the economic system for developing countries. India is one of the key players in agricultural precinct worldwide. Although there are many sophisticated technologies in the field of agriculture, still there is no proper technology to control the problems related to pests. Disinclination to pesticides for controlling agricultural pests is a worldwide problem. To overcome this particular problem, an AI based pest detection model is designed. The purpose of this model is to further illustrate, through classification using an artificial neural network, the effectiveness of acoustic approaches in pest detection. Numerous types of research have demonstrated the viability of acoustic technologies for insect detection and monitoring using different sound parameterization and classification methods. IR sensors and sound sensor are employed to identify the presence of insects. Deep learning technique is used to analyse and categorize the audio signal with the help of AI model to detect the type of pest. This model not only aims on detecting the pest but also alerting the farmers by notifying through their mobile phones with the help of Wi-Fi module and IoT.
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Dzemydienė, Dalė, and Ramūnas Dzindzalieta. "DEVELOPMENT OF ARCHITECTURE OF EMBEDDED DECISION SUPPORT SYSTEMS FOR RISK EVALUATION OF TRANSPORTATION OF DANGEROUS GOODS / SPRENDIMŲ PARAMOS SISTEMOS ĮTERPTINĖS ARCHITEKTŪROS PLĖTOTĖ PAVOJINGŲJŲ KROVINIŲ TRANSPORTAVIMO RIZIKAI VERTINTI." Technological and Economic Development of Economy 16, no. 4 (December 31, 2010): 654–71. http://dx.doi.org/10.3846/tede.2010.40.
Анотація:
The analysis of the risk of transportation processes shows that transportation of hazardous materials is complex process and causes a risk quite a different than that of a fixed facility. Sustainability of surroundings depends on a safe transportation, especially on the safe transportation of dangerous goods by different auto transport kinds. The aims of our research concern an approach for development of the architecture of decision support system with integrated embedded components for monitoring and evaluation of transportation processes of dangerous goods. Mobile technology provides a potentially convenient and truly ubiquitous platform for detection of the objects and the contextual information such as the location, region awareness, etc. A location based reminder application runs on wireless equipments. Reminders can be more helpful when rich contextual information is used to present necessary information at appropriate time moments in appropriate places. Devices sense and interact with their physical environment through sensors. In general terms, any aspect of the device that enables it to sense and interact with its physical environment may be considered as a sensor. The combination of web service protocols (e.g. SOAP) with session initialization protocol (SIP) enables P2P accessibility by introducing sensor's listener and context retriever as programming components in the developing communication architecture of servers and users. We are using an appropriate interface structure (components, scenarios) for service control, and integrate data‐mining, knowledge‐based techniques for recognizing a concrete situation of the moving object. The integration of distributed information systems and the means of wireless communication systems (i.e., programming components, protocols, sensors, and devices) are needed. The paper describes an approach of designing the architecture of the system that uses wireless technologies for monitoring dynamic objects with implementation of probabilistic methods for evaluation of risk of possible types of scenarios of accident events which can occur in transportation of dangerous goods. Some wireless protocols are used in establishing the object's geographical coordinates, monitoring and fixing the state behavior of the moving dangerous transportation objects. Santrauka Transporto srautų ir avarijų keliuose daugėjimas verčia nagrinėti pavojingųjų krovinių transportavimo problemą sisteminiu – daugiakompleksiniu požiūriu, nustatant galimos rizikos sritis ir pasiūlant operatyvaus valdymo metodus. Transportuojant krovinius, vežančius pavojingas, taršias medžiagas, išauga aplinkos taršos rizika, susijusi su judančių transporto objektų įvykiu pasireiškimo tikimybiniu padidėjimu ir atitinkamu pasekmių galimybėmis. Tikėtinos taršos rizika įgyja daugiafunkci pobūdį ir yra sudėtingesne nei rizikos vertinimas stacionarių objektų aplinkoje. Darnios aplinkos vystymo reikalavimai verčia užtikrinti saugius transportavimo procesus ir ypač saugu pavojingųjų kroviniu transportavimą skirtingose autotransporto priemonėse ir teritorijose. Todėl gana svarbu sukurti tinkamą sprendimus palaikančią aplinką, kuri padėtų stebėti ir operatyviai vertinti transporto objektus, vežamų cheminių medžiagų būkle, kelio ruožų avaringumą. Ypatinga reikšmę įgyja transportavimo kelyje išsidėstančių teritorijų statusas ir padėtis. Šiam tikslui tenka ieškoti metodų, tinkamų vertinti pavojingųjų krovinių transportavimo procesus ir juos aprašyti sprendimų paramos sistemoje (SPS). Mobiliosios technologijos padeda nustatyti objekto būvimo vietos informaciją, leisti sieti ją su vietovės informacija, taikyti atitinkamus jutiklių rodmenis. Vietovės nustatymas grindžiamas priminimų paslauga ir veikia belaidžiuose įrenginiuose. Priminimai gali būti naudingi, kai kontekstinė informacija pateikiama tinkamu metu ir tinkamoje vietoje. Prietaisų jutikliai sąveikauja su fizine aplinka per sensorius. Straipsnyje siūlomi sprendimai, kaip projektuoti atitinkamas sąsajos struktūras – sprendimų paramos sistemų įterptinius komponentus, scenarijus, vykdymo paslaugų kontrolė judančio objekto konkrečiai situacijai atpažinti ir valdyti. Įmontuotoje SPS taikomi išskirstytųjų informacinių sistemų ir belaidžio ryšio sistemų sąveikos komponentai, t. y. programavimo moduliai, protokolai, sensorinių duomenų analizė. Straipsnyje aprašomas SPS projektavimo procesas, pasitelkiant belaides technologijas dinaminiams objektams stebėti, susijusiems su pavojingųjų krovinių transportavimu. Siūloma taikyti bevielio ryšio protokolus nustatant geografines objekto koordinates, pateikiant įspėjimus apie judančio pavojingojo transporto būsena ir galimu prognozių rezultatus panaudoti operatyviam objekto valdymui.
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AYUSAWA, Hideo, Duy Hinh NGUYEN, Xiqian WU, Daisuke IWAKURA, and Kenzo NONAMI. "1P1-L03 3D Range Scan with Movable IR Range Sensor and Obstacle Avoidance of Autonomous Mobile Robot(Wheeled Robot/Tracked Vehicle)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2011 (2011): _1P1—L03_1—_1P1—L03_3. http://dx.doi.org/10.1299/jsmermd.2011._1p1-l03_1.