Journal articles: 'Monitoring Smart Environment'

1

Et.al, P. Devi. "Remote Monitoring And Localization: Tools For Smart Parking." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 11, 2021): 3985–90. http://dx.doi.org/10.17762/turcomat.v12i3.1688.

Full text

Abstract:

The increase in usage of IoT environment is beyond the limits, which use Wireless (WSN).These networks can be used in many environments like logistics, supply chain management,health management,e-governance, smart parking, smart city, and smart appliances. WSN is a collection of sensors spread across them to base station/sink. Remote sensing sensors do sensing of an object remotely and detectthe static or dynamic information.In this paper, discussion is made on how to monitor and track the person’scar within a shopping mall. Remote monitoring and local optimization techniques are used in smart parking architecture, which suits for smart parking environment. Further, description of some of the monitoring and tracking techniques which was used earlier also been discussed with different types of protocols used for this appropriate environment. These systems can be implemented for effective smart parking.

APA, Harvard, Vancouver, ISO, and other styles

2

Finogeev, Alexey, Аnton Finogeev, Ludmila Fionova, Artur Lyapin, and Kirill A. Lychagin. "Intelligent monitoring system for smart road environment." Journal of Industrial Information Integration 15 (September 2019): 15–20. http://dx.doi.org/10.1016/j.jii.2019.05.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

S, Anasica. "Research on Smart Environment Monitoring Systems based on Secure Internet of Things (IoT)." International Journal on Future Revolution in Computer Science & Communication Engineering 8, no. 1 (March 31, 2022): 48–55. http://dx.doi.org/10.17762/ijfrcsce.v8i1.2090.

Full text

Abstract:

Significant environmental threats include poor air quality, water contamination, and radiation pollution. A healthy society must be maintained for the planet to experience sustained growth. Environmental monitoring has transformed into smart environment monitoring (SEM) systems in recent years due to the growth of an internet of things (IoT). The Internet of Things (IoT) concept has developed into technology for creating smart environments and also has its disadvantage. To collect, evaluate, and recommend specific actions in smart environments for various purposes, a secure IoT-based platform is proposed. The proposed method follows the flow outlined here: data collection, normalization technique is used for data preprocessing, Linear Discriminant Analysis (LDA) is used for feature extraction, then data stored in IoT, Advanced Twofish encryption algorithm is proposed for securing the data, then user decryption, and finally performance is analyzed for smart environment monitoring using secure IoT. The proposed work aims to complete a critical evaluation of significant contributions to SEM that focus on the monitoring of water quality, air quality, radiation contamination, and agricultural systems. Secure IoT is based on the optimal integration and use of data gathered from several sources. This algorithm provides smart environment monitoring and also exhibits optimal integration.

APA, Harvard, Vancouver, ISO, and other styles

4

Firdhous, Mohamed Fazil Mohamed, and B. H. Sudantha. "{Cloud, IoT}-powered smart weather station for microclimate monitoring." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (January 1, 2020): 508. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp508-515.

Full text

Abstract:

<p>Microclimate monitoring is important in many practical situations involving agriculture, archaeology and other environments. Microclimate is defined as the environmental conditions that differs from that of surrounding areas. In certain situations, these different conditions are artificially generated for creating a conducive environment for achieving better results. Environments such as greenhouses and climate controlled beehives require to maintain their environments within close variations for optimum results. Similarly archaeological sites including show caves, frescos and parks get disturbed easily by the changes in their immediate environments. Hence monitoring and managing these environments is a must for the proper maintenance of them. In this paper, the authors present an IoT enabled microclimate monitoring weather station that can be installed anywhere and monitor the required parameters from remotely. The modular design enables the station to be easily modified to suit any environment. The weather station collects and transmit data at fixed intervals to the cloud powered processing system over the mobile communication network . The sensors have been calibrated using the standard calibration methods using conventional devices as references. The results obtained from the prototype shows that the weather station works satisfactorily reading the real environment conditions.</p>

APA, Harvard, Vancouver, ISO, and other styles

5

Yadav, Sanchit, and Kamlesh Kumar Singh. "Smart Environmental Health Monitoring System." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 1 (April 5, 2021): 1–5. http://dx.doi.org/10.54060/jieee/002.01.003.

Full text

Abstract:

Pollution is a growing issue these days. It is necessary to analyze environment & keep it in check for a for best future as well as healthy living for all. Here we propose an Envi-ronment Monitoring System that permit us to watch & check live environment in espe-cially areas through Internet of Things (IOT). IoT supported a real time environmental monitoring system. It plays a crucial role in today’s world through a huge and pro-tract-ed system of sensor networks concerned to the environment & its parameters. This technique deals with monitoring important environmental conditions like temperature, humidity & CO level using the sensor & then this data is shipped to the web page. This information is often access from anyplace over the internet & then the sensor in-formation is presented as graphical statistics during mobile application. This paper explains & present the implementation & outcome of this environmental system uses the sensors for temperature, humidity, air quality & different environmental parameters of the surrounding space. This data is often used to take remote actions to regulate the conditions. Information is pushed to the distributed storage & android app get to the cloud & present the effect to the end users. The system employs a Node MCU, DHT-11 sensor, MQl35 sensor, which transmits data to WEBPAGE. An Android application is made which accesses the cloud data and displays results to the end users. The sensors interact with microcontroller which processes this information & transmit it over internet. This system is best method for any use in monitoring the environment and handling it because everything is controlled automatically through all the time of the process. The results say everything about the application of this system across different field where it was controlled precisely and effectively which further explains that this system easily makes our work easier because of this automatic monitoring system worries about other unexpected climate issues for world.

APA, Harvard, Vancouver, ISO, and other styles

6

., Satvir Singh. "REVIEW OF SMART SENSOR NETWORKS FOR ENVIRONMENT MONITORING." International Journal of Research in Engineering and Technology 04, no. 04 (April 25, 2015): 766–69. http://dx.doi.org/10.15623/ijret.2015.0404133.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Hu, Chunzheng, Fushuai Miao, Zeyu Ding, and Wei Gong. "Smart Home Environment Monitoring System Based on Microcontroller." Journal of Physics: Conference Series 2405, no. 1 (December 1, 2022): 012019. http://dx.doi.org/10.1088/1742-6596/2405/1/012019.

Full text

Abstract:

Abstract More than 90% of a person’s lifetime is spent indoors in a variety of activities, thus the parameters of the home environment affect human physical and mental health. With the development of Internet of things technology, people put forward new and higher requirements for the smart home. Based on the microcontroller, in this paper, we use multiple sensor systems to monitor various indoor environmental parameters, that is, to collect and display the environmental temperature, humidity, light intensity, CO concentration, and smoke concentration accurately and in real time. In the process of monitoring, the limits of various environmental parameters can be set artificially. Different types of alarms will be activated when one or several parameters are detected to exceed the limits. The microcontroller transmits the monitoring data to mobile terminals such as smartphones and others through Bluetooth modules, and the display interface is clear and intuitive. After testing, the system has the advantages of accurate measurement results, stable performance, and simple operation, which has a certain promotion and use value in smart home environment monitoring.

APA, Harvard, Vancouver, ISO, and other styles

8

Premkumar, R., Jayanarayani K, Lavanya J, Nirubaa A.G, and Thirupurasundari K. "Smart Dumpster Monitoring System." International Journal of Engineering & Technology 7, no. 3.34 (September 1, 2018): 172. http://dx.doi.org/10.14419/ijet.v7i3.34.18940.

Full text

Abstract:

The project is about smart way of collecting and disposing garbage. A system is designed by automatic opening and closing of the lid when the sensor senses the hand motion. The level of the wastes is measured using sonar sensor and the smell from the waste is detected using gas sensor. In order to avoid the smell, sprayer is placed inside the dustbin which is activated when the signal is sent. There is a motor attached to the lid is used to compress the garbage for further dumping. Once the bin is fully filled the lid is closed automatically and a message is send through GSM. The status of the bin will be displayed as a message outside the bin using LCD display. The problem of overflowing of garbage and the smell will be avoided leading to a good hygienic environment.

APA, Harvard, Vancouver, ISO, and other styles

9

Zaharia, Mihai Horia. "A SMART ENVIRONMENT INFRASTRUCTURE." Environmental Engineering and Management Journal 15, no. 10 (2016): 2285–300. http://dx.doi.org/10.30638/eemj.2016.250.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Pino, Esteban, Dorothy Curtis, Thomas Stair, and Lucila Ohno-Machado. "SMART." International Journal of Healthcare Delivery Reform Initiatives 1, no. 4 (October 2009): 1–16. http://dx.doi.org/10.4018/jhdri.2009100101.

Full text

Abstract:

Patient monitoring is important in many contexts: at mass-casualty disaster sites, in improvised emergency wards, and in emergency room waiting areas. Given the positive history of use of monitoring systems in the hospital during surgery, in the recovery room, or in an intensive care unit, the authors sought to use recent technological advances to enable patient monitoring in more diverse circumstances: at home, while traveling, and in some less well-monitored areas of a hospital. This paper presents the authors’ experiences designing, implementing and deploying a wireless disaster management system prototype in a real hospital environment. In addition to a review of related systems, the sensors, algorithms and infrastructure used in our implementation are presented. Finally, general guidelines for ubiquitous methodologies and tools are shared based on the lessons learned from the actual implementation.

APA, Harvard, Vancouver, ISO, and other styles

11

Gaikwad, Srigandhrav, Rushikesh Deshpande, and Shivam Bhattad. "Smart Air Quality Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 10 (October 31, 2022): 743–47. http://dx.doi.org/10.22214/ijraset.2022.47074.

Full text

Abstract:

Abstract: The idea proposed in this project is depends on the current situation which all are facing and surviving our single day in a hope that all things will come to end very soon. All are saying that the pandemic is the only reason for all the disasters but that’s not the case there are n numbers of such reasons and one of them is Air pollution. All can easily see how the environment qualities are depleting day by day but we ignore the situations and just let them on their condition, but unless we step by ourselves into it and try to push it all the way possible that situations can’t be get good for us. Air is the important factor in the living things daily life but the quality now a days is so worse that many of us have some ill effects and side effects of the environment. To control and maintain the quality of air many agencies in India are working on it and try to find the easy solutions that can be adapted by the society easily. So in the honour of all such agencies we decided to put some efforts and our time to find the solution and try to have something from our side that can help mankind in such bizarre situation. Air quality monitoring is the important and yet to be fully discovered topic in this area, and also trying to implement the following project that may help to tract down and list down some measures that can be taken in future for better quality air.

APA, Harvard, Vancouver, ISO, and other styles

12

Anghel, Ionut, Tudor Cioara, Ioan Salomie, Mihaela Dinsoreanu, and Anca Rarau. "Middleware for Smart Environments Management." International Journal of Computers Communications & Control 5, no. 2 (June 1, 2010): 148. http://dx.doi.org/10.15837/ijccc.2010.2.2470.

Full text

Abstract:

This paper introduces a self-configuring middleware that manages the processes of context information acquisition and representation from smart closed environments, targeting the development of context aware applications. The environment context information is modeled using three sets: context resources, context actors and context policies. The context model artifacts are generated and administrated at run time by a management infrastructure based on intelligent software agents. The self-configuring property is enforced by monitoring the closed environment in order to detect variations or conditions for which the context model artifacts must be updated. The middleware was tested and validated within the premises of our Distributed Systems Research Laboratory smart environment.

APA, Harvard, Vancouver, ISO, and other styles

13

Dobrilovic, Dalibor, Vladimir Brtka, Zeljko Stojanov, Gordana Jotanovic, Dragan Perakovic, and Goran Jausevac. "A Model for Working Environment Monitoring in Smart Manufacturing." Applied Sciences 11, no. 6 (March 23, 2021): 2850. http://dx.doi.org/10.3390/app11062850.

Full text

Abstract:

The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.

APA, Harvard, Vancouver, ISO, and other styles

14

Krishnakanth, K., and P. Kavipriya. "ANDROID APPLICATION DEVELOPMENT FOR ENVIRONMENT MONITORING USING SMART PHONES." International journal of Mobile Network Communications & Telematics 3, no. 3 (June 30, 2013): 41–45. http://dx.doi.org/10.5121/ijmnct.2013.3305.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

P, Sreelatha. "Smart and Effective Environment Monitoring Using Internet of Things." Bioscience Biotechnology Research Communications 14, no. 7 (July 25, 2021): 258–62. http://dx.doi.org/10.21786/bbrc/14.7.57.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Ganesan, Anusha, Anand Paul, and HyunCheol Seo. "Elderly People Activity Recognition in Smart Grid Monitoring Environment." Mathematical Problems in Engineering 2022 (March 22, 2022): 1–12. http://dx.doi.org/10.1155/2022/9540033.

Full text

Abstract:

Elderly people activity recognition has become a vital necessity in many countries, because most of the elderly people live alone and are vulnerable. Thus, more research to advance in the monitoring systems used to recognize the activities of elderly people is required. Many researchers have proposed different monitoring systems for activity recognition using wired and wireless wearable sensing devices. However, the activity classification accuracy achieved so far should be improved to meet the challenges of more precise activity monitoring. Our study proposes a smart Human Activity Recognition system architecture utilizing an open source dataset generated by wireless, batteryless sensors used by 14 healthy aged persons and unsupervised and supervised machine learning algorithms. In this paper, we also propose using a smart grid for checking regularly the wearable sensing device operational status to address the well-known reliability challenges of these devices, such as wireless charging and data trustworthiness. As the data from the sensing device is very noisy, we employ the K-means++ clustering to identify outliers and use advanced ensemble classification techniques, such as the stacking classifier for which a meta model built using the random forest algorithm gave better results than all other base models considered. We also employ a bagging classifier, which is an ensemble meta-estimator fitting the prediction outputs of the base classifiers and aggregating them to produce the ensemble output. The best classification accuracy of 99.81 was achieved by the stacking classifier in training and 99.78% in testing, respectively. Comparisons for finding the best model were conducted using the recall, F1 score, and precision values.

APA, Harvard, Vancouver, ISO, and other styles

17

Sattar, Hina, Imran Sarwar Bajwa, Riaz Ul-Amin, Aqsa Mahmood, Waheed Anwar, Bakhtiar Kasi, Rafaqut Kazmi, and Umar Farooq. "An Intelligent and Smart Environment Monitoring System for Healthcare." Applied Sciences 9, no. 19 (October 5, 2019): 4172. http://dx.doi.org/10.3390/app9194172.

Full text

Abstract:

Skin wound healing is influenced by two kinds of environment i.e., exterior environment that is nearby to wound surface and interior environment that is the environment of the adjacent part under wound surface. Both types of environment play a vital role in wound healing, which may contribute to continuous or impaired wound healing. Although, different previous studies provided wound care solutions, but they focused on single environmental factors either wound moisture level, pH value or healing enzymes. Practically, it is insignificant to consider environmental effect by determination of single factors or two, as both types of environment contain a lot of other factors which must be part of investigation e.g., smoke, air pollution, air humidity, temperature, hydrogen gases etc. Also, previous studies didn’t classify overall healing either as continuous or impaired based on exterior environment effect. In current research work, we proposed an effective wound care solution based on exterior environment monitoring system integrated with Neural Network Model to consider exterior environment effect on wound healing process, either as continuous or impaired. Current research facilitates patients by providing them intelligent wound care solution to monitor and control wound healing at their home.

APA, Harvard, Vancouver, ISO, and other styles

18

Prauzek, Michal, Tereza Paterova, Martin Stankus, Miroslav Mikus, and Jaromir Konecny. "Analysis of LoRaWAN Transactions for TEG-Powered Environment-Monitoring Devices." Elektronika ir Elektrotechnika 28, no. 3 (June 28, 2022): 30–36. http://dx.doi.org/10.5755/j02.eie.31265.

Full text

Abstract:

Long-Range (LoRa) transmission technology is potentially a suitable solution in abundant applications such as smart cities, smart industries, smart health, and others, although it is challenging and complex to implement. LoRa is a non-cellular modulation technology for Long-Range Wide-Area Networks (LoRaWAN) and is suitable for Internet of Things (IoT) solutions through its long-range and low-power consumption characteristics. The present paper provides a comprehensive analysis of LoRa wireless transactions through several measurements, which differ in LoRa parameter configuration. The results showed dependency of the power consumed by the transaction on the selected Effective Isotropic Radiated Power (EIRP). The quantity of energy consumed by the transaction also significantly depends on the selected data rate (combination of the spread factor and bandwidth) and payload.

APA, Harvard, Vancouver, ISO, and other styles

19

Ullo, Silvia Liberata, and G. R. Sinha. "Advances in Smart Environment Monitoring Systems Using IoT and Sensors." Sensors 20, no. 11 (May 31, 2020): 3113. http://dx.doi.org/10.3390/s20113113.

Full text

Abstract:

Air quality, water pollution, and radiation pollution are major factors that pose genuine challenges in the environment. Suitable monitoring is necessary so that the world can achieve sustainable growth, by maintaining a healthy society. In recent years, the environment monitoring has turned into a smart environment monitoring (SEM) system, with the advances in the internet of things (IoT) and the development of modern sensors. Under this scenario, the present manuscript aims to accomplish a critical review of noteworthy contributions and research studies on SEM, that involve monitoring of air quality, water quality, radiation pollution, and agriculture systems. The review is divided on the basis of the purposes where SEM methods are applied, and then each purpose is further analyzed in terms of the sensors used, machine learning techniques involved, and classification methods used. The detailed analysis follows the extensive review which has suggested major recommendations and impacts of SEM research on the basis of discussion results and research trends analyzed. The authors have critically studied how the advances in sensor technology, IoT and machine learning methods make environment monitoring a truly smart monitoring system. Finally, the framework of robust methods of machine learning; denoising methods and development of suitable standards for wireless sensor networks (WSNs), has been suggested.

APA, Harvard, Vancouver, ISO, and other styles

20

Santos and Ferreira. "IoT Power Monitoring System for Smart Environments." Sustainability 11, no. 19 (September 27, 2019): 5355. http://dx.doi.org/10.3390/su11195355.

Full text

Abstract:

In this research work, we describe the development and subsequent validation of EnerMon a flexible, efficient, edge-computing based Internet of Things (IoT) LoRa (LongRange) System to monitor power consumption. This system provides real-time information and a descriptive analytics process to provide a ‘big picture’ about energy consumption over time and identify energetic waste. The solution is based on Arduinos, current transformer sensors, Raspberry Pi as an application server and LoRa communication alongside a description and information on what is to be expected of it, describing the development process from the design phase to the validation phase with all steps in between. Due to LoRa low debit communication, an edge computing approach was implemented to create a real-time monitoring process based on this technology. This solution, with the help of descriptive analysis, allows the creation of an energetic local footprint, using a low-cost developed solution for less than 80€ per three-phases monitoring device. This solution also allows for easy installation without communication range and obstacles limitations making it easy use in different situations from big complex building to smaller consumers, such as electric boilers, or simply to measure the energetic footprint of tourists in a small local tourist apartment.

APA, Harvard, Vancouver, ISO, and other styles

21

Jalasri, M., S. Nalini, N. Magesh Kumar, and J. Elumalai. "Data Storage in the Fog Computing for Smart Environment Monitoring System (SEMS)." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3196–200. http://dx.doi.org/10.1166/jctn.2019.8160.

Full text

Abstract:

Environment monitoring system for smart cities uses diverse kind of sensors which is used to accumulate the information for managing the resources efficiently. Environment monitoring system provides services such as automation of home, weather monitoring, air quality management and prediction of pollution. This paper presents the customized design on environment monitoring the basic parameters are temperature, humidity and CO2. These sensed data need to be stored and processed. In previous system, sensed data are stored using cloud computing. In proposed system, Fog computing is used to store the sensed data from smart environment monitoring system (SEMS) and transfer the data to the mobile app from the fog device which is more efficient than cloud computing.

APA, Harvard, Vancouver, ISO, and other styles

22

Pablo Rodr韌uez, Jhonn, David Camilo Corrales, David Griol, Zoraida Callejas, and Juan Carlos Corrales. "A Cost-Efficient Environment Monitoring Robotic Vehicle for Smart Industries." Computers, Materials & Continua 71, no. 1 (2022): 473–87. http://dx.doi.org/10.32604/cmc.2022.020903.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Fazio, M., A. Celesti, A. Puliafito, and M. Villari. "Big Data Storage in the Cloud for Smart Environment Monitoring." Procedia Computer Science 52 (2015): 500–506. http://dx.doi.org/10.1016/j.procs.2015.05.023.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Ul Rehman, Shafiq, and Selvakumar Manickam. "A Study of Smart Home Environment and its Security Threats." International Journal of Reliability, Quality and Safety Engineering 23, no. 03 (June 2016): 1640005. http://dx.doi.org/10.1142/s0218539316400052.

Full text

Abstract:

As the world is moving towards Internet of Things, smart home is now rapidly becoming a reality. Home appliances and devices are interconnected, i.e., home area network, via proprietary or standard TCP/IP protocols allowing for better management and monitoring. Nevertheless, as with any form of network, smart home is also prone to security threats and vulnerabilities. This paper aims at presenting the importance of security in smart home environment. Herein, we will discuss (a) the concepts of smart home environment, (b) various smart home communication mechanisms, (c) security challenges and concerns in smart home environment, (d) security threats in smart home environment, (e) current security measures to encounter such security attacks and finally, conclusion and future work.

APA, Harvard, Vancouver, ISO, and other styles

25

Dwevedi, Rajneesh, Vinoy Krishna, and Aniket Kumar. "Environment and Big Data: Role in Smart Cities of India." Resources 7, no. 4 (October 9, 2018): 64. http://dx.doi.org/10.3390/resources7040064.

Full text

Abstract:

The intention of India’s Smart City Mission program is to achieve better living conditions in a sustainable environment with smart solutions. This program identifies the key challenges of urbanization and the environment. The mitigation of these challenges depends on the monitoring and assessment of multiple factors, including demography, education, health, and the environment; however, the inclusion of environmental factors are limited. The monitoring and assessment of environmental factors will continuously generate big data and hence would require scientific and technological innovation for a sustainable management plan. This study identifies six environmental factors, which should be integrated in the development of smart cities. These environmental factors include indicators of landscape and geography, climate, atmospheric pollution, water resources, energy resources, and urban green space as a major component of the environment. This paper also discusses the importance of these environmental components and the maintenance of big data in the management of smart cities.

APA, Harvard, Vancouver, ISO, and other styles

26

Zheng, Wenbin, Zhe Yang, Lei Feng, Ping Fu, and Jinlong Shi. "APP Design of Energy Monitoring in Smart Campus Based on Android System." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 05 (March 14, 2019): 18. http://dx.doi.org/10.3991/ijoe.v15i05.8225.

Full text

Abstract:

Smart Campus is an intelligent and smart environment of teaching, learning and living. It is built on the Internet of Things and application services. Colleges and universities are devoted to the construction and development of the smart campus and have completed some digital campuses of different sizes. However, there are still some problems in the current construction and development process, such as low degree of intelligence, free intelligent functions, energy and resource monitoring is still in the traditional mode of non-intelligent management, the functions of terminal application are still simple, can’t keep up with the intelligent development of the campus. In order to help promote the development of smart campus, we designed a database, smart campus mobile terminal APP. The smart campus APP is based on Android system to monitor and control energy and other nodes in the campus. The monitoring method is real-time, clear and efficient. In addition, smart dormitory, smart classroom and smart map function have also been designed to provide a more convenient and safe living environment for teachers and students in our school. And this APP has laid a solid foundation for establishing a smart, efficient, open, harmonious, humane and safe campus.

APA, Harvard, Vancouver, ISO, and other styles

27

Thapliyal, Renu, Ravi Kumar Patel, Ajit Kumar Yadav, and Akhilesh Singh. "Internet of Things for Smart Environment and Integrated Ecosystem." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 1218. http://dx.doi.org/10.14419/ijet.v7i3.12.17841.

Full text

Abstract:

Internet of things (IoT) is in increasing demand in our daily life. This is the technology that transforms the real-time system into the virtual system and makes the communication in between machines. The rapid growth of IoT can be easily noticed in industries like home automation, transport, robotics, environment, energy, water domain etc. The IoT is a technological revolution that represents the future of computing and communications, and its development depends on dynamic technical innovation in a number of important fields, from wireless sensors to nanotechnology. They are going to tag each object for identifying, automating, monitoring and controlling. The aim of this paper is to give an overview of introduction, history, architecture, real-time application, challenges and future aspects of IoT along with statistics and its application in monitoring for future.

APA, Harvard, Vancouver, ISO, and other styles

28

Nguyen, Vanh Khuyen, Wei Emma Zhang, and Adnan Mahmood. "Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System." ACM Transactions on Sensor Networks 17, no. 3 (June 21, 2021): 1–20. http://dx.doi.org/10.1145/3448415.

Full text

Abstract:

Intrusive Load Monitoring (ILM) is a method to measure and collect the energy consumption data of individual appliances via smart plugs or smart sockets. A major challenge of ILM is automatic appliance identification, in which the system is able to determine automatically a label of the active appliance connected to the smart device. Existing ILM techniques depend on labels input by end-users and are usually under the supervised learning scheme. However, in reality, end-users labeling is laboriously rendering insufficient training data to fit the supervised learning models. In this work, we propose a semi-supervised learning (SSL) method that leverages rich signals from the unlabeled dataset and jointly learns the classification loss for the labeled dataset and the consistency training loss for unlabeled dataset. The samples fit into consistency learning are generated by a transformation that is built upon weighted versions of DTW Barycenter Averaging algorithm. The work is inspired by two recent advanced works in SSL in computer vision and combines the advantages of the two. We evaluate our method on the dataset collected from our developed Internet-of-Things based energy monitoring system in a smart home environment. We also examine the method’s performances on 10 benchmark datasets. As a result, the proposed method outperforms other methods on our smart appliance datasets and most of the benchmarks datasets, while it shows competitive results on the rest datasets.

APA, Harvard, Vancouver, ISO, and other styles

29

Mohd Yusof, Norfadzlia, Mohd Faizal Zulkifli, Nor Yusma Amira Mohd Yusof, and Azziana Afififie Azman. "Smart Waste Bin with Real-Time Monitoring System." International Journal of Engineering & Technology 7, no. 2.29 (May 22, 2018): 725. http://dx.doi.org/10.14419/ijet.v7i2.29.14006.

Full text

Abstract:

This paper presents IoT innovation project of a smart waste bin with real time monitoring system which integrates multiple technologies such as solar system, sensors and wireless communication technologies. The aim of this project is to provide an efficient and cost-effective waste collection management system hence providing clean, healthy and green environment. This study proposed a new framework that enables remote monitoring of solid waste bin in real-time via Wi-Fi connection, to assist the waste management activity. The system framework is based on wireless sensor network [WSN] contains three segments: renewable energy source, WSN and control station. Within this framework there are four developed subsystems: solar power system, smart waste bin, short messaging service [SMS] notification system and real-time monitoring system that are interrelated to each other to perform as an efficient, cost-effective waste management system that yield to a green and healthy living environment.

APA, Harvard, Vancouver, ISO, and other styles

30

Jeon, Angyoon, and Youngho Ko. "Design of Power Monitoring Security Module for Embedded Device with Elliptic Curve Algorithm." International Journal of Engineering & Technology 7, no. 3.33 (August 29, 2018): 90. http://dx.doi.org/10.14419/ijet.v7i3.33.18531.

Full text

Abstract:

Currently, we are pursuing smart home construction, intelligent living environment, environment-friendly residential living and quality of life. However, power monitoring terminals using various wired and wireless networks and protocols in home networks are very vulnerable to security. In this study, we design and develop security system for smart meter terminal which can analyze the cryptographic technology of smart meter, which is vulnerable to physical attack, and exposes personal information from the outside, and maximize the efficiency of terminal.

APA, Harvard, Vancouver, ISO, and other styles

31

Luzzi, Sergio, and Andrey Vasilyev. "ACOUSTICAL MONITORING, PLANNING AND DESIGN OF URBAN TERRITORIES." Akustika 34 (November 1, 2019): 152–56. http://dx.doi.org/10.36336/akustika201934152.

Full text

Abstract:

The problems connected with acoustical monitoring, planning and design of urban territories are considered. Approaches to acoustical monitoring of urban territories are described. Peculiarities of acoustical planning and design of urban territories are described taking to account European and Russian experience. The holistic approach to planning and acoustical design of landscapes is suggested. Smart solutions are considered as a part of the global comfort scheme: smart urban planning shows various connections with smart noise action plans. Examples of smart solutions are presented. The results of work are allowing to make more comfortable acoustical environment in urban territories and to reduce negative impact of noise to the human health more efficiently.

APA, Harvard, Vancouver, ISO, and other styles

32

.., Marwa, Omnia M. .., and Mariam H. Amin. "Smart Garbage Monitoring System using IoT." Journal of Artificial Intelligence and Metaheuristics 2, no. 2 (2022): 29–38. http://dx.doi.org/10.54216/jaim.020203.

Full text

Abstract:

The Internet of Things (IoT) will be able to integrate a wide range of various and heterogeneous end systems transparently and smoothly, while also offering open access to chosen subsets of data for the creation of a wide range of digital services. Solid waste management, which apart upsetting the ecological balance also has negative consequences on societal health, has been one of the key environmental issues. One of the main issues in the modern era is the identification, monitoring of wastes. The conventional method of manually checking the wastes in bins requires more human labor, takes longer, and costs more money. It is in no way compatible with modern technologies. This is a cutting-edge approach to automated garbage management. This project IoT Garbage Monitoring system is a very innovative system which will help greatly in preserving the environment and also makes us benefit from garbage and sell it on form raw materials to be recycled again by recycling factories. System is linked to an android application to show us the current level of each type of garbage using Ultrasonic Sensor and give a warning when the level of any of them is filled.

APA, Harvard, Vancouver, ISO, and other styles

33

Schmitter-Edgecombe, M., and D. J. Cook. "Assessing the Quality of Activities in a Smart Environment." Methods of Information in Medicine 48, no. 05 (2009): 480–85. http://dx.doi.org/10.3414/me0592.

Full text

Abstract:

Summary Objectives: Pervasive computing technology can provide valuable health monitoring and assistance technology to help individuals live independent lives in their own homes. As a critical part of this technology, our objective is to design software algorithms that recognize and assess the consistency of activities of daily living that individuals perform in their own homes. Methods: We have designed algorithms that automatically learn Markov models for each class of activity. These models are used to recognize activities that are performed in a smart home and to identify errors and inconsistencies in the performed activity. Results: We validate our approach using data collected from 60 volunteers who performed a series of activities in our smart apartment testbed. The results indicate that the algorithms correctly label the activities and successfully assess the completeness and consistency of the performed task. Conclusions: Our results indicate that activity recognition and assessment can be automated using machine learning algorithms and smart home technology. These algorithms will be useful for automating remote health monitoring and interventions.

APA, Harvard, Vancouver, ISO, and other styles

34

Kruzhilko, O., O. Polukarov, S. Vambol, V. Vambol, N. A. Khan, V. Maystrenko, V. P. Kalinchyk, and A. H. Khan. "Control of the workplace environment by physical factors and SMART monitoring." Archives of Materials Science and Engineering 1, no. 103 (May 1, 2020): 18–29. http://dx.doi.org/10.5604/01.3001.0014.1770.

Full text

Abstract:

Purpose: To develop and implementation in practice an algorithm for smart monitoring of workplace environmental physical factors for occupational health and safety (OSH) management. Design/methodology/approach: A brief conceptual analysis of existing approaches to workplace environmental physical factors monitoring was conducted and reasonably suggest a decision-making algorithm to reduce the negative impact of this factors as an element of the OSH management system. Findings: An algorithm has been developed that provides continual improvement of the OSH management system to improve overall labour productivity and which has 3 key positive features: (1) improved data collection, (2) improved data transfer and (3) operational determination of the working conditions class. Research limitations/implications: The implementation of the proposed algorithm for substantiating managerial decisions to reduce the negative impact of workplace physical factors is shown by the example of four workplace environmental physical factors in the products manufacture from glass. Practical implications: If management decisions on the implementation of protective measures are taken in accordance with the proposed monitoring algorithm, these decisions will be timely and justified. This makes it possible to reduce the time of the dangerous effects of physical factors on the health of workers and reduce the level of these factors to improve working conditions. That is, an algorithm is proposed that provides continuous improvement of the OSH management system to increase overall labour productivity. Originality/value: Current monitoring of workplace environmental physical factors values are carried out in accordance with the justified monitoring intervals for each factor that provides the necessary and sufficient amount of data and eliminates the transfer of useless data.

APA, Harvard, Vancouver, ISO, and other styles

35

Zheng, Ruili. "Indoor Smart Design Algorithm Based on Smart Home Sensor." Journal of Sensors 2022 (April 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/2251046.

Full text

Abstract:

Modern home furnishings have solved the most basic housing problems, but how to make homes more informatized and modern has become the focus of people’s growing concern. With the rapid development of information technology, improving the intelligent level of family life and modern lifestyle is bound to be the trend of future development. This paper studies a smart home control system based on wireless sensor network positioning, which can perceive the home environment through the sensor module, and the control module can automatically control common electrical appliances to achieve real-time data monitoring and alarm functions. Specifically, it includes a positioning module, a communication module, and a server: the positioning module is connected to the server through the communication module, and the positioning module is used to obtain user location information in real time and report user location information to the server at intervals. The server receives the user reported at intervals through the communication module. Location information and remotely control smart home devices based on user location information. The research results show that the method proposed in this paper can separately monitor each part of the home and send it to the home appliance control module through the server to control the home appliance, optimize the living environment, and realize the remote control and monitoring of the smart home.

APA, Harvard, Vancouver, ISO, and other styles

36

AlSheikh, Raghad, and Rabee Hagem. "A Survey on Smart Monitoring System of Environment Based on IoT." Al-Rafidain Engineering Journal (AREJ) 26, no. 1 (January 1, 2021): 147–59. http://dx.doi.org/10.33899/rengj.2021.128944.1072.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Zhang, Jinyun, Xiujuan Zhao, Liang Tao, Shijun Wu, and Qianqian Chen. "Monitoring of Macadamia Nut Planting Environment Based on Smart Sensor Technology." Journal of Physics: Conference Series 1744, no. 2 (February 1, 2021): 022106. http://dx.doi.org/10.1088/1742-6596/1744/2/022106.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Gupta, Sheifali, Deepali Gupta, Harsha Chauhan, and Vishal Verma. "IoT-based automatic intravenous fluid monitoring system for smart medical environment." International Journal of Computer Applications in Technology 66, no. 2 (2021): 154. http://dx.doi.org/10.1504/ijcat.2021.10043455.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Chauhan, Harsha, Vishal Verma, Deepali Gupta, and Sheifali Gupta. "IoT-based automatic intravenous fluid monitoring system for smart medical environment." International Journal of Computer Applications in Technology 66, no. 2 (2021): 154. http://dx.doi.org/10.1504/ijcat.2021.119767.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Hossain, M. Shamim, S. K. Alamgir Hossain, Atif Alamri, and M. Anwar Hossain. "Ant-based service selection framework for a smart home monitoring environment." Multimedia Tools and Applications 67, no. 2 (February 5, 2012): 433–53. http://dx.doi.org/10.1007/s11042-012-1006-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Vinoth Kumar, M., J. Gobinath, and M. Sangeetha. "Real-Time Distributed Wireless Sensor Network for Monitoring Smart Agricultural Environment." Applied Mechanics and Materials 573 (June 2014): 388–93. http://dx.doi.org/10.4028/www.scientific.net/amm.573.388.

Full text

Abstract:

In India 75% land is occupied for agriculture so some recent survey shows 85% of fresh water resources is utilized in every seasonal period. We can overcome this water consumption through the help of embedded wireless sensor equipments. In this paper we projected a new idea, the system have distributed wireless network to monitor a soil-moisture. Temperature sensors are placed in the root zone of the plants and all these sensors are self power sourced through batteries with an inbuilt rechargeable photovoltaic cell to charge them. Using GPRS system it can be monitored accurately from outsource, and another main action to be achieved in this agriculture environment. The overall environment will be monitored through a digital camera to avoid the infection in plants and also fertilizing them in a correct time. The automated system actions are analyzed and monitored in the server or data storage room.

APA, Harvard, Vancouver, ISO, and other styles

42

Villegas-Ch, William, Jhoann Molina-Enriquez, Carlos Chicaiza-Tamayo, Iván Ortiz-Garcés, and Sergio Luján-Mora. "Application of a Big Data Framework for Data Monitoring on a Smart Campus." Sustainability 11, no. 20 (October 9, 2019): 5552. http://dx.doi.org/10.3390/su11205552.

Full text

Abstract:

At present, university campuses integrate technologies such as the internet of things, cloud computing, and big data, among others, which provide support to the campus to improve their resource management processes and learning models. Integrating these technologies into a centralized environment allows for the creation of a controlled environment and, subsequently, an intelligent environment. These environments are ideal for generating new management methods that can solve problems of global interest, such as resource consumption. The integration of new technologies also allows for the focusing of its efforts on improving the quality of life of its inhabitants. However, the comfort and benefits of technology must be developed in a sustainable environment where there is harmony between people and nature. For this, it is necessary to improve the energy consumption of the smart campus, which is possible by constantly monitoring and analyzing the data to detect any anomaly in the system. This work integrates a big data framework capable of analyzing the data, regardless of its format, providing effective and efficient responses to each process. The method developed is generic, which allows for its application to be adequate in addressing the needs of any smart campus.

APA, Harvard, Vancouver, ISO, and other styles

43

Andreadis, Alessandro, and Riccardo Zambon. "An IoT Smart Environment in Support of Disease Diagnosis Decentralization." Electronics 9, no. 12 (December 10, 2020): 2108. http://dx.doi.org/10.3390/electronics9122108.

Full text

Abstract:

The percentage of seniors in the global population is constantly growing and solutions in the field of fall detection and early detection of neuro-degenerative pathologies have a crucial role in order to increase life expectancy and quality of life. This study aims to extend fall detection and effective recognition of early signs of diseases to new smart environments, conceiving the decentralization of diagnostic monitoring in everyday life activities in a more pervasive paradigm. Inspiring to research outcomes, in this work an architecture is designed to detect falls in crowded indoor environments during events/exhibitions, for favoring a timely and effective intervention. It also foresees a continue monitoring of the gait for seniors during the visit, thus extracting key features which are stored on a dedicated database. The proposed solution allows third party researchers to perform analysis on the obtained gait datasets, through the adoption of advanced data-mining techniques for the detection of early signs of neuro-degenerative diseases and other pathologies. The architecture designed here aims to provide a step forward concerning the extension of smart monitoring environments for the detection of falls and early signs of pathologies in everyday life, in a more pervasive and decentralized paradigm.

APA, Harvard, Vancouver, ISO, and other styles

44

G. Rajakumar. "Smart Home Energy Monitoring and Energy Reduction Technique." Journal of Electrical Engineering and Automation 4, no. 3 (October 15, 2022): 209–19. http://dx.doi.org/10.36548/jeea.2022.3.008.

Full text

Abstract:

The concept of Home Energy Management System (HEMS) is emerged from the development of smart homes, which connect humans and things to automate the manual operations. The smart homes users enjoy secured, pleasant, and autonomously managed lifestyle. Additionally, smart homes have the potential to generate revenue by vending clean and sustainable energy to the grid, thereby saving both energy and money. The proposed method efficiently reschedules and arranges the power flow among grid electricity, storage devices, and photovoltaic models to manage the energy requirements of smart home. Energy-management systems is highly preferred to economic benefits of smart homes while maintaining a comfortable living, maximizing connectivity and developing optimized operation of loads. The proposed system is finally implemented in a simulation environment, and further the obtained outcomes demonstrate the efficiency of the proposed method in terms of energy management from various sources.

APA, Harvard, Vancouver, ISO, and other styles

45

V, Balaji, P. Venkumar, and Sabitha MS. "Smart Manufacturing through TOC based Efficiency Monitoring System (TBEMS)." International Journal of Engineering & Technology 7, no. 4.10 (October 2, 2018): 118. http://dx.doi.org/10.14419/ijet.v7i4.10.20820.

Full text

Abstract:

The very purpose of business is to devise profitability and enhance it in all possible avenues sustainable. In a manufacturing environment, thus, there had been a number of techniques and concepts adapted to improvise the effectiveness thereby profits continuously. Theory of Constraints (TOC) adopts a unique con-cept exploiting the constraint to deliver the customer needs. TOC is built on the premise that the weakest link determines the strength of the whole chain. With the advent of Industry 4.0, the manufacturing systems could be exploited to the next best level, leveraging the interaction of cyber physical systems and human beings over the internet. This paper deals with a novel idea of implementing TOC concept blended with Internet of Things (IoT), thereby, the speed of implementation could be augmented for early results. Evidently, the smartness of Things is derived based on the possibility of informed and proactive decisions. Hence all the productivity improvement techniques and concepts could be complemented with such concurrent information and analytics, thereby the learning and decisions are much smarter and proactive. A real time industrial environment has been chosen to experiment this approach and the results are furnished paving way for future research and improvisation globally on the industrial environment and on many other competing productivity concepts

APA, Harvard, Vancouver, ISO, and other styles

46

Wang, Huan Jin, Hong Yi Li, Kui Ming Sun, and Ling Song Yi. "Design and Implementation of an Indoor Environment Monitoring System in Smart Home System." Applied Mechanics and Materials 473 (December 2013): 160–65. http://dx.doi.org/10.4028/www.scientific.net/amm.473.160.

Full text

Abstract:

A remote indoor environment monitoring system based on a STC90C52AD microcontroller and wireless network technology is presented in this paper to solve the problems in existing environment monitoring system. With a Web control platform, the environmental monitoring systems can remotely monitor the indoor environment, and scientifically guide users to improve the indoor environment. The environmental monitoring module is communicated with display terminal, so that users can use PC, mobile phone or Pad to achieve the remote monitoring for indoor environmental via the Internet, GPRS, 3G and other networks. To improve the quality of life while achieve intelligent management. This system has been implemented successfully by the State Grid Corporation Shandong Electric Power Group Corporation and the department of Automation of Wuhan University in collaboration.

APA, Harvard, Vancouver, ISO, and other styles

47

Zhang, Z., Y. Song, P. Luo, and P. Wu. "EARTH OBSERVATION FOR LAND COVER AND HUMAN-ENVIRONMENT INTERACTIONS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W5-2022 (October 17, 2022): 211–18. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w5-2022-211-2022.

Full text

Abstract:

Abstract. Human-environment interactions (HEI) are dynamic processes involving a wide range of research areas. The complicated interaction processes, with land cover change as an intermediate process, have been investigated for decades. Urban construction, as a type of human activity, is an important part of the HEI. Earth observation (EO) techniques offer disclosure of physical and chemical properties, from spectral information to chemical compositions, on the earth surface. These advanced technologies have been applied from space to the ground, covering smart urban construction, land cover monitoring and other topics under the scope of HEI. The aim of this paper is to review the significance and contribution of earth observation in HEI research. This paper summarised the utility of four types of earth observation regarding topics of urban construction and land cover monitoring under the scope of HEI. Furthermore, this paper reviewed four advanced techniques in earth observation, including Radar, unmanned aerial vehicles (UAVs), machine learning algorithms and advanced computing platforms like Google Earth Engine (GEE), which can lead to future development in smart urban construction and smart city design.

APA, Harvard, Vancouver, ISO, and other styles

48

Faisal, M., B. F. Endrawati, and C. S. Rahendaputri. "Balikpapan’s wind analysis to determine air quality monitoring point to support smart environment monitoring system." Journal of Physics: Conference Series 2106, no. 1 (November 1, 2021): 012016. http://dx.doi.org/10.1088/1742-6596/2106/1/012016.

Full text

Abstract:

Abstract In this industrial era, air pollution become a concerning problem since it can cause some respiratory problems. One of the air pollutions was Sulphur dioxide which dilutes fast in atmospheric water vapor resulting in acid rain which can affect the organism. Thus, in this research, we study the probability of the receptor’s location according to wind direction, as the preliminary information on deciding monitoring point. The meteorological data were obtained from Balikpapan’s Agency for Meteorological, Climatological, and Geophysics. The wind data was then plotted using a wind rose plot program called WRPLOT. Afterward, the dominant wind speed and direction will then be analyzed using google earth to know which point will be affected by the pollution dispersion from the chimney in Balikpapan. The results show that wind in Balikpapan throughout 2020 mostly blew from Southwest to Northeast Direction. Thus, the most probable receptor locations were open green spaces with no settlement around. This will have less impact on human health. Nevertheless, further research can be conducted to know better the on-air dispersion model around the power plant, how the green plant will be suffered from this air pollution, and how this pollution will affect the workers around it.

APA, Harvard, Vancouver, ISO, and other styles

49

Jamil, Muhammad Saqib, Muhammad Atif Jamil, Anam Mazhar, Ahsan Ikram, Abdullah Ahmed, and Usman Munawar. "Smart Environment Monitoring System by Employing Wireless Sensor Networks on Vehicles for Pollution Free Smart Cities." Procedia Engineering 107 (2015): 480–84. http://dx.doi.org/10.1016/j.proeng.2015.06.106.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Soheilian, Moe, Géza Fischl, and Myriam Aries. "Smart Lighting Application for Energy Saving and User Well-Being in the Residential Environment." Sustainability 13, no. 11 (May 31, 2021): 6198. http://dx.doi.org/10.3390/su13116198.

Full text

Abstract:

The idea of smart lighting has emerged over the years in commercial and industrial environments, with a focus on energy saving. With the advancement in technology, smart lighting can now offer opportunities in addition to energy saving to users in home environments for the provision of a comfortable atmosphere and the maintenance of user well-being. Currently, research in the smart lighting field is predominantly dedicated to energy saving in non-residential environments; meanwhile, the residential environments have not been explored. Therefore, a literature review was conducted to provide an overview of smart lighting systems’ effect on energy and well-being in the residential environment. Current research is mostly limited to designing and developing a smart lighting system in a controlled environment, with a limited evaluation of well-being and comfort. The review shows that residential smart lighting application possibilities and opportunities are not widely and thoroughly explored.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Monitoring Smart Environment'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles