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Автор: Grafiati

Опубліковано: 11 вересня 2023

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1

Ito, Sho, Go Ueno, and Masaki Yamamoto. "DeepCentering: fully automated crystal centering using deep learning for macromolecular crystallography." Journal of Synchrotron Radiation 26, no. 4 (June 3, 2019): 1361–66. http://dx.doi.org/10.1107/s160057751900434x.

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High-throughput protein crystallography using a synchrotron light source is an important method used in drug discovery. Beamline components for automated experiments including automatic sample changers have been utilized to accelerate the measurement of a number of macromolecular crystals. However, unlike cryo-loop centering, crystal centering involving automated crystal detection is a difficult process to automate fully. Here, DeepCentering, a new automated crystal centering system, is presented. DeepCentering works using a convolutional neural network, which is a deep learning operation. This system achieves fully automated accurate crystal centering without using X-ray irradiation of crystals, and can be used for fully automated data collection in high-throughput macromolecular crystallography.

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2

Burckhardt, Irene. "Zu einer schnelleren und besseren individualisierten Diagnostik." BIOspektrum 25, no. 6 (October 2019): 620–23. http://dx.doi.org/10.1007/s12268-019-0204-1.

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Abstract Total lab automation automates inoculation, incubation and analysis of human specimens. It enables the laboratory to shorten incubation times and significantly reduce the time to report. It improves the quality of microbiologic analysis by increasing the number of grown organisms. In the future it will enable automatic reading and fully automated identification and susceptibility testing of bacteria.

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3

Ahire, Pritam, Saiprasad Kadam, and Ajay Jagtap. "Image Enhancement and Automated Number Plate Recognition." International Journal of Science and Healthcare Research 8, no. 2 (April 28, 2023): 178–86. http://dx.doi.org/10.52403/ijshr.20230221.

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Automatic Number Plate Recognition (ANPR) and Vehicle Number plate detection (VNPD) systems. ANPR, is a technology that enables automatic detection, recognition, and identification of vehicle license plates, while VNPD is a subset of ANPR that focuses specifically on detecting and recognizing license plates.Several researchers have explored different approaches to ANPR and VNPD systems, as evidenced by the various papers listed. For instance, presented an e security system for vehicles number tracking at a parking lot, proposed a method of monitoring traffic signals, and violations using ANPR and GSM. In order to proceed, the conventional Grab Cut algorithm must first interactively give a candidate frame. for the target detection job to be done.To automate the identification of the licence plate by the Grab Cut algorithm, we update the candidate frame by incorporating the aspect ratio of the licence plate as the foreground extraction feature. Then, to fully implement picture noise reduction, we combined the Bernsen algorithm with the Wiener filter, which is extensively used in the fields of digital signal processing in order to increase the detection precision of conventional target identification techniques. Overall, the papers listed in the question demonstrate the wide-ranging applications of ANPR and VNPD technologies, from parking lot security to traffic signal control to driver assistance systems. These technologies have the potential to improve safety, efficiency, and security on the road, and researchers continue to explore new approaches to their development and implementation. Keywords: Detection of Number Plate, Convolutional Neural Network-(CNN), Object detection, character identification, Machine Learning-(ML).

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4

Aggarwal, Nancy, and Shilpa Sethi. "Automated Number Plate Recognition Using Template Matching." International Journal of Computer Sciences and Engineering 6, no. 12 (December 31, 2018): 298–304. http://dx.doi.org/10.26438/ijcse/v6i12.298304.

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5

Kamble, Prathamesh, Rohit Pisal, Hrutik Khade, Vishal Sole, and Prof S. R. Bhujbal. "Automated Vehicle Number Plate Detection and Recognition." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (January 31, 2023): 1307–11. http://dx.doi.org/10.22214/ijraset.2023.48785.

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Abstract: In this project, a Digital Image Processing-based prototype is developed. Actions such as Image Acquisition, enhancement that is pre-processing, Segmentation of the license plate and then application of OCR (Optical Character Recognition) is applied to store the number on text form. The plate number is displayed as text on the terminal using the principle of OCR with help of Tesseract engine. It is seen that the security forces and authorities face problems whenever security forces chase a vehicle or they can’t catch a vehicle which broke traffic rules. Authorities find it very hectic on a busy day to log the vehicle numbers manually in a parking lot.

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6

goyal, Anisha, and Rekha Bhatia. "Automated Car Number Plate Detection System to detect far number plates." IOSR Journal of Computer Engineering 18, no. 04 (April 2016): 34–40. http://dx.doi.org/10.9790/0661-1804033440.

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7

Volkova, K. M. "CONDUCTING A SYNTHESIS OF A DIGITAL AUTOMATON FOR AN AUTOMATED FIREFIGHTING SYSTEM." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 21, no. 1 (February 2021): 49–58. http://dx.doi.org/10.14529/ctcr210105.

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Every year the industry in the world is gaining momentum: the number of industrial enterprises is growing, and with it the number of accidents at them. Oil today is the most common product for the synthesis and production of products. Increasing the level of fire protection systems at oil refine¬ries remains one of the most important components of protecting people from technogenic hazards. The speed of innovation allows the application of artificial intelligence in the creation of automated fire protection systems. Research objective. This study is aimed at building a model of an automated integrated fire protection system (AISPPO).Through the synthesis of digital automata and minimizing the control functions of the digital model is created a system of automated integrated fire protection system. Materials and methods. To solve the problems of research used methods of constructing graphical algorithms of automated integrated fire protection system. This system is a new approach to solving the issue of safety of industrial facilities in the oil refining industry. Results. The proposed new model of the software implementation of a digital automaton in an automated integrated system of fire detection and monitoring of an oil refinery has made it possible to create a bank of calculated and analytical data on all potential types of failures in the structure of the enterprise in order to train personnel and make changes to existing methodological documents and instructions for personnel actions in a particular situation. Conclusion. The developed technology allows you to process the incoming signal contained in cyclograms into an intermediate form for the synthesis of digital automata using innovative tools.

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8

Bibel, W. "Automated Inferencing." Journal of Symbolic Computation 1, no. 3 (September 1985): 245–60. http://dx.doi.org/10.1016/s0747-7171(85)80034-1.

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9

Joshi, Spandan, and Mehul Parikh. "Various License Plate Detection and Recognition Methods using Computer Vision and Machine Learning." ITM Web of Conferences 53 (2023): 02013. http://dx.doi.org/10.1051/itmconf/20235302013.

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With the increasing advancements in the technology, our lives have become significantly more convenient. We now have automated many things. One example of such things is the automated number plate recognition system. There are many ways to perform the ANPR (Automatic Number Plate Recognition). Performing ANPR in wild still remains a big challenge. This review focuses on some techniques that have tried to overcome this challenge.

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10

Prince, Rathore, Gupta Puja, Jain Sarthak, and Shrivastava Yash. "A study of the automated vehicle number plate recognition system." i-manager’s Journal on Pattern Recognition 9, no. 2 (2022): 30. http://dx.doi.org/10.26634/jpr.9.2.19162.

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Automatic Number Plate Recognition (ANPR) uses number plates to identify vehicles. The goal of an automated vehicle identification system is to identify the vehicle based on the number plate. The system enforces the regulations, parking, etc. It can also be used at the entrance to protect a large area, such as a military zone or the region around important government buildings like the military base, Parliament, Supreme Court, etc. The smart technology recognizes and captures the image of the vehicle. The number plate area of the vehicle is extracted using image segmentation on the image. Optical character recognition is used for character recognition. The performance data may also be compared to database records to determine the car owner, enrollment location, residence, etc. The testing showed that the improved algorithm easily recognized the number plate of a vehicle on genuine photographs.

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11

Kim, Y. J., S. J. Choi, H. Bae, and C. W. Kim. "Sludge settleability detection using automated SV30 measurement and its application to a field WWTP." Water Science and Technology 64, no. 8 (October 1, 2011): 1743–49. http://dx.doi.org/10.2166/wst.2011.078.

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The need for automation & measurement technologies to detect the process state has been a driving force in the development of various measurements at wastewater treatment plants. While the number of applications of automation & measurement technologies to the field is increasing, there have only been a few cases where they have been applied to the area of sludge settling. This is because it is not easy to develop an automated operation support system for the detection of sludge settleability due to its site-specific characteristics. To automate the human operator's daily test and diagnosis works on sludge settling, an on-line SV30 measurement was developed and an automated detection algorithm on settleability was developed that imitated heuristics to detect settleability faults. The automated SV30 measurement is based on automatic pumping with a predefined schedule, the image capture of the settling test with a digital camera, and an analysis of the images to detect the settled sludge height. A sludge settleability detection method was developed and its applicability was investigated by field application.

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12

Daalmans, Jacco. "Constraint Simplification for Data Editing of Numerical Variables." Journal of Official Statistics 34, no. 1 (March 1, 2018): 27–39. http://dx.doi.org/10.1515/jos-2018-0002.

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Abstract Data editing is the process of checking and correcting data. In practise, these processes are often automated. A large number of constraints needs to be handled in many applications. This article shows that data editing can benefit from automated constraint simplification techniques. Performance can be improved, which broadens the scope of applicability of automatic data editing. Flaws in edit rule formulation may be detected, which improves the quality of automatic edited data.

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13

Zinchenko, Serhii, Oleh Tovstokoryi, Oleksandr Sapronov, Kostiantyn Tymofeiev, Andrii Petrovskyi, and Artem Ivanov. "Collision avoidance by constructing and using a passing area in on-board controller." Technology audit and production reserves 1, no. 2(69) (February 24, 2023): 25–29. http://dx.doi.org/10.15587/2706-5448.2023.274296.

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The object of research is the processes of automatic optimal passing of one's own ship with many dangerous targets, including maneuvering ones, by the method of constructing the area of permissible passing parameters in the on-board computer. According to the European Maritime Safety Agency (EMSA), the largest number of ship accidents in 2014–2019 occurred due to collision (32 %). On modern ships, for observation and passing with targets, ARPA (automatic radar plotting aid) is used, which allows to automate manual operations, and the built-in function «Playing the maneuver» provides the navigator with a convenient graphic interface for solving passing problems. At the same time, ARPA is an automated system that assumes the presence of an operator in the control circuit. The presence of a person in the control circuit is related to the «human factor», which is a prerequisite for the occurrence of various types of accidents, including ship collisions. The most effective means of reducing the influence of the «human factor» on control processes is the introduction of automatic control modules in automated systems. The paper develops a method for the passing module, which allows automatic and optimal passing with many targets, including maneuvering ones. The number of targets for passing is not limited by the method, but is limited only by the capabilities of the ARPA to track the targets. The obtained results are explained by the fact that at each step of the on-board computer, a region of permissible passing parameters is constructed for all purposes, passing parameters that optimize a given optimality criterion are selected from the constructed region, the selected parameters are used as software in the control law. The developed method can be used on ships, subject to integration into the existing automated system of an on-board computer with an open architecture, to increase the capabilities of automatic traffic control, in this case, the possibility of automatic optimal passing with many objectives, including maneuvering.

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14

Ramm, Peter, Yuriy Alexandrov, Andrzej Cholewinski, Yuriy Cybuch, Robert Nadon, and Bohdan J. Soltys. "Automated Screening of Neurite Outgrowth." Journal of Biomolecular Screening 8, no. 1 (January 2003): 7–18. http://dx.doi.org/10.1177/1087057102239779.

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Outgrowth of neurites in culture is used for assessing neurotrophic activity. Neurite measurements have been performed very slowly using manual methods or more efficiently with interactive image analysis systems. In contrast, medium-throughput and noninteractive image analysis of neurite screens has not been well described. The authors report the performance of an automated image acquisition and analysis system (IN Cell Analyzer 1000) in the neurite assay. Neuro-2a (N2a) cells were plated in 96-well plates and were exposed to 6 conditions of retinoic acid. Immunofluorescence labeling of the cytoskeleton was used to detect neurites and cell bodies. Acquisition of the images was automatic. The image set was then analyzed by both manual tracing and automated algorithms. On 5 relevant parameters (number of neurites, neurite length, total cell area, number of cells, neurite length per cell), the authors did not observe a difference between the automated analysis and the manual analysis done by tracing. These data suggest that the automated system addresses the same biology as human scorers and with the same measurement precision for treatment effects. However, throughput of the automated system is orders of magnitude higher than with manual methods. ( Journal of Biomolecular Screening 2003:7-18)

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15

Alijanov, Donyorbek Dilshodovich. "APV Receiver In Automated Systems." American Journal of Applied sciences 03, no. 02 (February 27, 2021): 78–83. http://dx.doi.org/10.37547/tajas/volume03issue02-08.

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Optoelectronic sensors based on anomalous photo-voltage (APV) curtains derived from semiconductor compounds are attracting the attention of many experts today. The use of APV receiver as the first converter in automated systems allows to increase the efficiency of a number of parameters of the system, such as energy saving, reliability, speed, accuracy.

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16

Shanmugaraj.S et al. "Auto Detection of Number Plate of Person without Helmet." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 3 (March 20, 2019): 21–24. http://dx.doi.org/10.17762/ijritcc.v7i3.5252.

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Automated Number Plate Recognition organization would greatly enhance the ability of police to detect criminal commotion that involves the use of motor vehicles. Automatic video investigation from traffic surveillance cameras is a fast-emerging field based on workstation vision techniques. It is a key technology to public safety, intelligent transport system (ITS) and for efficient administration of traffic without wearing helmet. In recent years, there has been an increased scope for involuntary analysis of traffic activity. It defines video analytics as computer-vision-based supervision algorithms and systems to extract contextual information from video. In traffic circumstancesnumeroussupervise objectives can be continue by the application of computer vision and pattern gratitude techniques, including the recognition of traffic violations (e.g., illegal turns and one-way streets) and the classification of road users (e.g., vehicles, motorbikes, and pedestrians). Currently most reliable approach is through the acknowledgment of number plates, i.e., automatic number plate recognition (ANPR).

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17

Liu, Andrew M., James D. Brooks, Neeraja Subrahmaniyan, Bradford W. Miller, and Charles M. Oman. "Measuring The Time Course of Engineer Workload During Automation Mode Transitions." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 1555–59. http://dx.doi.org/10.1177/1071181319631529.

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In current freight railroad operations, locomotive control is shared between the human engineer and automated energy management systems such as GE Trip Optimizer. Transitions between the manual and automatic modes temporarily increase engineer workload above the demands of the current operating situation. Using the average response time and average number of secondary visual attention task stimuli presented as proxy measures of workload, we tracked the time course of workload during the mode transitions for two types of automated control system. The average response times peaked immediately after the mode change. The average number of stimuli presented peaked just before the mode change. We conclude that this technique of measuring workload would be very useful in evaluating future automated systems concepts in a train simulator.

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18

Vis, I. F. A., R. de Koster, K. J. Roodbergen, and L. W. P. Peeters. "Determination of the number of automated guided vehicles required at a semi-automated container terminal." Journal of the Operational Research Society 52, no. 4 (April 2001): 409–17. http://dx.doi.org/10.1057/palgrave.jors.2601094.

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19

Vis, I. F. A., R. de Koster, K. J. Roodbergen, and L. W. P. Peeters. "Determination of the number of automated guided vehicles required at a semi-automated container terminal." Journal of the Operational Research Society 52, no. 4 (2001): 409–17. http://dx.doi.org/10.1038/sj.jors.2601094.

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20

KAWAKAMI, Takumi, Sadao NAKAI, Mitsuru SYOUNOU, Yoshinori HIROTA, and Kazushi USUI. "A Robotic System for Automated Determination of Neutralization Number." Journal of The Japan Petroleum Institute 40, no. 5 (1997): 438–41. http://dx.doi.org/10.1627/jpi1958.40.438.

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21

Fernandes, Jose A., Xabier Irigoien, Guillermo Boyra, Jose A. Lozano, and Iñaki Inza. "Optimizing the number of classes in automated zooplankton classification." Journal of Plankton Research 31, no. 1 (October 22, 2008): 19–29. http://dx.doi.org/10.1093/plankt/fbn098.

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22

Fujimoto, Naoya, and Emiko Adachi-Usami. "Effect of Number of Test Points in Automated Perimetry." American Journal of Ophthalmology 113, no. 3 (March 1992): 317–20. http://dx.doi.org/10.1016/s0002-9394(14)71585-5.

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23

Singh, Asha, and Prasanth Vaidya. "Automated parking management system for identifying vehicle number plate." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (January 1, 2019): 77. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp77-84.

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<p>By using image processing, the Automated parking management system (APMS) to recognize the license plate number for efficient management of vehicle parking and vehicle billing. It is an independent real-time system, reduces number of people involvement in parking areas. The main aim of this system is to automated payment collection. This (APMS) system extract and recognize license plate numbers from the vehicles, then that image is being processed and used to generate an electronic bill. Generally in the parking lots heavy labor work is needed. This system used to decrease the cost of the labor and also enhance the performance of the APMS. This system is composed of vehicles license plate number extraction, character segmentation and character recognition. A proper pre-processing is done before extracting the license plate and it also generates the entry time and exit time of the vehicle and finally generates the electronic bill.</p>

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24

Songa, Akhil, Rahul Bolineni, Harish Reddy, Sohini Korrapolu, and Vani Jayasri Geddada. "Vehicle Number Plate Recognition System Using TESSERACT-OCR." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 323–27. http://dx.doi.org/10.22214/ijraset.2022.41198.

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Abstract: With the increase in the number of vehicles, automated systems to store vehicle information are becoming increasingly necessary. Communication is critical for traffic management and crime reduction, and it cannot be overlooked. Automatic vehicle identification using number plate recognition is a reliable method of identifying vehicles. It requires a lengthy time and a lot of practice to develop satisfactory results using present algorithms that are based on the idea of learning. Even so, accuracy is not a significant concern. It has been devised as an efficient approach for recognizing vehicle number plates, which is included in the suggested algorithm. The technique is intended to address the difficulties of scaling and recognition of the position of characters as long as the accuracy is maintained. Automatic Number Plate Detection is a unique application in Machine Learning as it detects images and converts them to text form. The algorithm detects and captures the vehicle image and extracts the vehicle number plate using image segmentation. The extracted image is later sent to optical character recognition technology for character recognition. This system is implemented in areas like traffic surveillance, military zones, apartments, etc. Keywords: Optical Character Recognition, tesseract ocr, matplotlib, Number Plate Recognition.

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25

Tomori, Zoltán, Ivan Krekule, and Lucie Kubínová. "DISECTOR PROGRAM FOR UNBIASED ESTIMATION OF PARTICLE NUMBER, NUMERICAL DENSITY AND MEAN VOLUME." Image Analysis & Stereology 20, no. 2 (May 3, 2011): 119. http://dx.doi.org/10.5566/ias.v20.p119-130.

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A DISECTOR program is presented, offering the possibility to count particles by the disector or unbiased sampling brick principles as well as to apply the point-counting method needed for estimation of the particle volume density or mean particle volume. Three modes of counting, two semi-automatic and one automatic, are offered, allowing the user to choose the one most suitable for his image data. In a semi-automatic regime, the user marks and counts individual particles by a mouse during browsing through the stack of images. In the algorithm working in an automated mode, the role of a human operator is suppressed, assuming that segmented objects are available in individual levels. The settings of the point grid and 3-D probe can be tailored for each application. The DISECTOR program applications are shown on the examples of the estimation of the number and numerical density of mesophyll cells in a Norway spruce needle and the mean volume of tubular cells in a chick embryonic kidney.

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26

Bhatti, Ananya, Amar Rai, Anas Adil Siddiqui, and Ravikant Nirala. "Real-Time Parking Assistance using Arduino and Sensors." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 1279–88. http://dx.doi.org/10.22214/ijraset.2023.51733.

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Abstract: Automated Parking System can fulfil parking operations quickly and safely without wastage of time and energy. This study describes a scale model of an automated parking system with an LCD screen that can regulate and manage the number of vehicles that can be parked in a certain area at any given time based on the availability of parking spaces. The employment of sensors during car entry and exit is known as automatic parking. Most current systems aren't fully automated and require some amount of human interference or interaction in or with the system, according to our analysis of a few of the existing systems. We have examined some of the existing systems, and the results indicate that most of them aren't fully automated and need some amount of human involvement.

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27

Vardhan, Pola Adithya. "Automated Electricity Control." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 1408–15. http://dx.doi.org/10.22214/ijraset.2021.35264.

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Automated Electricity control with Arduino is a circuit used to achieve three tasks I.e., 1) to accurately count the number of students in a room, 2) to display The total number of people in the room on the LCD 16X2 module, And 3) to automatically turn off the electric appliances in some regions in the room where no people are there, we divide the the room in to n number of regions ,when a person enters into region 1, then the appliances in those area only turned on , when he moves from this region to another region the appliances in the first region will turned off automatically, thus the regions in which people are present only uses the electricity the unnecessary wastage of electricity would be drastically decreased, this could be implemented in big shopping malls and function halls, seminar halls etc.. when everyone leaves the room all the electric appliances will be turned off automatically. The microcontroller performs the task and receives signals from sensors, and these sensors are controlled by software stored on the EEPROM of the Arduino. this project will help reduce energy losses. This project can be implemented in a wide range of applications , where the area of rooms are very big and the electric appliance are arranged every corner of the room which is contributing of lot of electricity wastage.for Example At my university, I discovered that the lights and fans turn on even when no one is in the room. To avoid all these situations, this project was developed. When everyone leaves the room, the counter is reset to zero, turning off all lights and fans. You can avoid proxy attendance by cross-checking with the counter.

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28

Zhang, Xinyi, Frederico O. Gleber-Netto, Shidan Wang, Kevin W. Jin, Donghan M. Yang, Ann M. Gillenwater, Jeffrey N. Myers, Renata Ferrarotto, Curtis R. Pickering, and Guanghua Xiao. "A Deep Learning Onion Peeling Approach to Measure Oral Epithelium Layer Number." Cancers 15, no. 15 (July 31, 2023): 3891. http://dx.doi.org/10.3390/cancers15153891.

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Head and neck squamous cell carcinoma (HNSCC), specifically in the oral cavity (oral squamous cell carcinoma, OSCC), is a common, complex cancer that significantly affects patients’ quality of life. Early diagnosis typically improves prognoses yet relies on pathologist examination of histology images that exhibit high inter- and intra-observer variation. The advent of deep learning has automated this analysis, notably with object segmentation. However, techniques for automated oral dysplasia diagnosis have been limited to shape or cell stain information, without addressing the diagnostic potential in counting the number of cell layers in the oral epithelium. Our study attempts to address this gap by combining the existing U-Net and HD-Staining architectures for segmenting the oral epithelium and introducing a novel algorithm that we call Onion Peeling for counting the epithelium layer number. Experimental results show a close correlation between our algorithmic and expert manual layer counts, demonstrating the feasibility of automated layer counting. We also show the clinical relevance of oral epithelial layer number to grading oral dysplasia severity through survival analysis. Overall, our study shows that automated counting of oral epithelium layers can represent a potential addition to the digital pathology toolbox. Model generalizability and accuracy could be improved further with a larger training dataset.

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29

Mahami, Hadi, Farnad Nasirzadeh, Ali Hosseininaveh Ahmadabadian, Farid Esmaeili, and Saeid Nahavandi. "Imaging network design to improve the automated construction progress monitoring process." Construction Innovation 19, no. 3 (July 7, 2019): 386–404. http://dx.doi.org/10.1108/ci-07-2018-0059.

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Purpose This paper aims to propose an automatic imaging network design to improve the efficiency and accuracy of automated construction progress monitoring. The proposed method will address two shortcomings of the previous studies, including the large number of captured images required and the incompleteness and inaccuracy of generated as-built models. Design/methodology/approach Using the proposed method, the number of required images is minimized in two stages. In the first stage, the manual photogrammetric network design is used to decrease the number of camera stations considering proper constraints. Then the image acquisition is done and the captured images are used to generate 3D points cloud model. In the second stage, a new software for automatic imaging network design is developed and used to cluster and select the optimal images automatically, using the existing dense points cloud model generated before, and the final optimum camera stations are determined. Therefore, the automated progress monitoring can be done by imaging at the selected camera stations to produce periodic progress reports. Findings The achieved results show that using the proposed manual and automatic imaging network design methods, the number of required images is decreased by 65 and 75 per cent, respectively. Moreover, the accuracy and completeness of points cloud reconstruction is improved and the quantity of performed work is determined with the accuracy, which is close to 100 per cent. Practical implications It is believed that the proposed method may present a novel and robust tool for automated progress monitoring using unmanned aerial vehicles and based on photogrammetry and computer vision techniques. Using the proposed method, the number of required images is minimized, and the accuracy and completeness of points cloud reconstruction is improved. Originality/value To generate the points cloud reconstruction based on close-range photogrammetry principles, more than hundreds of images must be captured and processed, which is time-consuming and labor-intensive. There has been no previous study to reduce the large number of required captured images. Moreover, lack of images in some areas leads to an incomplete or inaccurate model. This research resolves the mentioned shortcomings.

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Jain, Kunal, Nishant Kabra, Shriya Khatri, and Surekha Dholay. "Automated Snake Bite Prevention System." International Journal of Innovative Technology and Exploring Engineering 10, no. 3 (January 10, 2021): 29–33. http://dx.doi.org/10.35940/ijitee.c8354.0110321.

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Snakebite isnt an illness without a treatment, anyway a substantial number of grievous setbacks go untreated each year. Many governments basically put this issue in the difficult to handle basket.Hence we have made a gadget which will recognize snakes using cameras and spurn the distinguished snake using a snake repeller.This should provoke an uncommon decrease in the number of snakebites and in like manner in the number of deaths.We are planning a basic, easy, convenient gadget which will automate the procedure of snake repeller.

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Craghead, Robert M., and Donna M. Wartski. "Effect of automated prescription transmittal on number of unclaimed prescriptions." American Journal of Health-System Pharmacy 46, no. 2 (February 1, 1989): 310–12. http://dx.doi.org/10.1093/ajhp/46.2.310.

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Takahashi, Yoshizo, and Shigetaka Sasaki. "Parallel automated wire-routing with a number of competing processors." ACM SIGARCH Computer Architecture News 18, no. 3b (September 1990): 310–17. http://dx.doi.org/10.1145/255129.255170.

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Schmitz, Sabine K., J. J. Johannes Hjorth, Raoul M. S. Joemai, Rick Wijntjes, Susanne Eijgenraam, Petra de Bruijn, Christina Georgiou, et al. "Automated analysis of neuronal morphology, synapse number and synaptic recruitment." Journal of Neuroscience Methods 195, no. 2 (February 2011): 185–93. http://dx.doi.org/10.1016/j.jneumeth.2010.12.011.

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Boyle, R. D., F. M. K. Corke, and J. H. Doonan. "Automated estimation of tiller number in wheat by ribbon detection." Machine Vision and Applications 27, no. 5 (October 1, 2015): 637–46. http://dx.doi.org/10.1007/s00138-015-0719-5.

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Broadhurst, D. J., and D. Kreimer. "Renormalization Automated by Hopf Algebra." Journal of Symbolic Computation 27, no. 6 (June 1999): 581–600. http://dx.doi.org/10.1006/jsco.1999.0283.

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Pasquini, Celio, and Ildenize B. S. Cunha. "Automated gravimetric management of solutions. Part 2. Automated gravimetric approach to direct potentiometry and kappa number determination." Analyst 120, no. 11 (1995): 2763. http://dx.doi.org/10.1039/an9952002763.

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Lee, Hyun Dong, Seongmin Lee, and U. Kang. "AUBER: Automated BERT regularization." PLOS ONE 16, no. 6 (June 28, 2021): e0253241. http://dx.doi.org/10.1371/journal.pone.0253241.

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How can we effectively regularize BERT? Although BERT proves its effectiveness in various NLP tasks, it often overfits when there are only a small number of training instances. A promising direction to regularize BERT is based on pruning its attention heads with a proxy score for head importance. However, these methods are usually suboptimal since they resort to arbitrarily determined numbers of attention heads to be pruned and do not directly aim for the performance enhancement. In order to overcome such a limitation, we propose AUBER, an automated BERT regularization method, that leverages reinforcement learning to automatically prune the proper attention heads from BERT. We also minimize the model complexity and the action search space by proposing a low-dimensional state representation and dually-greedy approach for training. Experimental results show that AUBER outperforms existing pruning methods by achieving up to 9.58% better performance. In addition, the ablation study demonstrates the effectiveness of design choices for AUBER.

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LINE, J. E., N. J. STERN, B. B. OAKLEY, and B. S. SEAL. "Comparison of an Automated Most-Probable-Number Technique with Traditional Plating Methods for Estimating Populations of Total Aerobes, Coliforms, and Escherichia coli Associated with Freshly Processed Broiler Chickens." Journal of Food Protection 74, no. 9 (September 1, 2011): 1558–63. http://dx.doi.org/10.4315/0362-028x.jfp-11-024.

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An instrument (TEMPO) has been developed to automate the most-probable-number (MPN) technique and reduce the effort required to estimate some bacterial populations. We compared the automated MPN technique with traditional microbiological plating methods and Petrifilm methods for estimating the total viable count of aerobic microorganisms (TVC), total coliforms (CC), and Escherichia coli populations (EC) on freshly processed broiler chicken carcasses (postchill whole carcass rinse [WCR] samples) and cumulative drip-line samples from a commercial broiler processing facility. Overall, 120 broiler carcasses, 36 prechill drip-line samples, and 40 postchill drip-line samples were collected over 5 days (representing five individual flocks) and analyzed by the automated MPN and direct agar plating and Petrifilm methods. The TVC correlation coefficient between the automated MPN and traditional methods was very high (0.972) for the prechill drip samples, which had mean log-transformed values of 3.09 and 3.02, respectively. The TVC correlation coefficient was lower (0.710) for the postchill WCR samples, which had lower mean log values of 1.53 and 1.31, respectively. Correlations between the methods for the prechill CC and EC samples were 0.812 and 0.880, respectively. The estimated number of total aerobes was generally greater than the total number of coliforms or E. coli recovered for all sample types (P < 2e−16). Significantly more bacteria were recovered from the prechill samples than from the postchill WCR or cumulative drip samples (P < 9.5e−12 and P < 2e−16, respectively). When samples below the limit of detection were excluded, 92.1% of the total responses were within a single log difference between the traditional plating or Petrifilm methods and the automated MPN method.

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Quiblier, Chantal, Marion Jetter, Mark Rominski, Forouhar Mouttet, Erik C. Böttger, Peter M. Keller, and Michael Hombach. "Performance of Copan WASP for Routine Urine Microbiology." Journal of Clinical Microbiology 54, no. 3 (December 16, 2015): 585–92. http://dx.doi.org/10.1128/jcm.02577-15.

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This study compared a manual workup of urine clinical samples with fully automated WASPLab processing. As a first step, two different inocula (1 and 10 μl) and different streaking patterns were compared using WASP and InoqulA BT instrumentation. Significantly more single colonies were produced with the10-μl inoculum than with the 1-μl inoculum, and automated streaking yielded significantly more single colonies than manual streaking on whole plates (P< 0.001). In a second step, 379 clinical urine samples were evaluated using WASP and the manual workup. Average numbers of detected morphologies, recovered species, and CFUs per milliliter of all 379 urine samples showed excellent agreement between WASPLab and the manual workup. The percentage of urine samples clinically categorized as positive or negative did not differ between the automated and manual workflow, but within the positive samples, automated processing by WASPLab resulted in the detection of more potential pathogens. In summary, the present study demonstrates that (i) the streaking pattern, i.e., primarily the number of zigzags/length of streaking lines, is critical for optimizing the number of single colonies yielded from primary cultures of urine samples; (ii) automated streaking by the WASP instrument is superior to manual streaking regarding the number of single colonies yielded (for 32.2% of the samples); and (iii) automated streaking leads to higher numbers of detected morphologies (for 47.5% of the samples), species (for 17.4% of the samples), and pathogens (for 3.4% of the samples). The results of this study point to an improved quality of microbiological analyses and laboratory reports when using automated sample processing by WASP and WASPLab.

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McCune, W., R. Padmanabhan, M. A. Rose, and R. Veroff. "Automated discovery of single axioms for ortholattices." algebra universalis 52, no. 4 (February 2005): 541–49. http://dx.doi.org/10.1007/s00012-004-1902-0.

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Yushchenko, K. S. "Approach to automating the recruitment process using 3D resumes." Mathematical machines and systems 2 (2022): 29–39. http://dx.doi.org/10.34121/1028-9763-2022-2-29-39.

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The article considers the possibility of using the Moore finite automat approach to create 3D resumes in recruitment, segmentation, and personnel training procedures. In this paper, a 3D resume is considered as a document (for example, an HTML document) that represents person's professional achievements in three dimensions (interactive presentation – text documents, videos, and online testing). The use of the automaton is designed to automate the search for questions and tasks of an interactive resume, depending on the respondent's previous answers. In this case, minimizing the number of internal states of the automaton is used to avoid duplication of questions during such a search. To implement the task, there is used the Moore automaton which is based only on input actions. For staff testing, there are created sets of ques-tions or tasks. To each of the questions, there may be different ambiguous answers which do not fall under the operations of the logical data type but can be presented in the form of a scale of compliance with a certain established criterion. The minimization procedure itself is performed according to the Aufenkamp-Hohn algorithm. The paper solves the problem of minimizing the number of internal states of the automaton for creating a 3D resume and presents a conceptual scheme for implementing this tool for recruitment. The 3D resume is implemented on web platforms and can be used for comprehensive streaming testing of personnel selected for the needs of the organization, such as conducting a text survey or adding scanned educational documents or resumes, a survey with a video broadcast recording, solving problems or demonstrating skills using tools available on the web platform. The offered actions can be used to create automated recruitment, segmentation, and training systems implemented both on web platforms and as software products for recruiting companies and large enterprises.

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Dumancic, Sebastijan, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, and Koen Denies. "Automated Reasoning and Learning for Automated Payroll Management." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (May 18, 2021): 15107–16. http://dx.doi.org/10.1609/aaai.v35i17.17774.

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While payroll management is a crucial aspect of any business venture, anticipating the future financial impact of changes to the payroll policy is a challenging task due to the complexity of tax legislature. The goal of this work is to automatically explore potential payroll policies and find the optimal set of policies that satisfies the user's needs. To achieve this goal, we overcome two major challenges. First, we translate the tax legislative knowledge into a formal representation flexible enough to support a variety of scenarios in payroll calculations. Second, the legal knowledge is further compiled into a set of constraints from which a constraint solver can find the optimal policy. Furthermore, payroll computation is performed on the individual basis which might be expensive for companies with a large number of employees. To make the optimisation more efficient, we integrate it with a machine learning model that learns from the previous optimisation runs and speeds up the optimisation engine. The results of this work have been deployed by a social insurance fund.

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Wang, Zihao, Liju Yin, Shuai Mao, and Zhenzhou Wang. "Segmentation of the Haematoxylin and Eosin Stained Muscle Cell Images—A Comparative Study." Journal of Medical Imaging and Health Informatics 11, no. 6 (June 1, 2021): 1517–26. http://dx.doi.org/10.1166/jmihi.2021.3449.

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The effective detection of muscle cells, the accurate counting of their numbers and the analysis of their morphological features have great importance in biomedical research. At present, the quantification of muscle cell and the computation of their cross-sectional areas (CSA) are still manual or semi-automated, and with the increase of the image number, the manual or semi-automated methods might become intractable. Hence, the automatic methods are very desirable, which motivated the developments of many muscle cell segmentation methods. In this paper, three methods, SDDM, CELLSEGM and SMASH are compared and evaluated with 100 images with over 6000 cells. The Dices computed by SDDM, CELLSEGM and SMASH are 97.38%, 89.85% and 90.08% respectively. The average differences between the calculated cross-sectional areas and the ground truths by SDDM, CELLSEGM and SMASH are 5.14%, 10.76% and 7.97% respectively.

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Zeilberger, Doron. "Automated counting of lego towers." Journal of Difference Equations and Applications 5, no. 4-5 (January 1999): 323–33. http://dx.doi.org/10.1080/10236199908808194.

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45

Soumoy, Laura, and Jean-Daniel Hecq. "Automated Compounding of Intravenous Therapy in European Countries: A Review in 2019." Pharmaceutical Technology in Hospital Pharmacy 4, no. 2 (August 27, 2019): 51–57. http://dx.doi.org/10.1515/pthp-2019-0008.

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Abstract Automated compounding systems appeared on the market during these last 15 years as an alternative for manual compounding of intravenous (IVD) drugs. A literature review was conducted on reconstitution of IVD. The following methods were identified: manual, semi- automatic and automatic. A classification was carried out in three categories: automatic syringes, peristaltic pumps, and compounding doses robots. The number of compounding robots is increasing. A table describes the different features of each device. The ampuls cannot be supported by these robots. Large doses vials improve the time of reconstitution compared to current dosage vials. Advantages of automated preparation are: higher consistency of process and products, higher accuracy of products, Integrated digitized processing, precise, complete documentation, reduced effort and wrist injuries, reduced personnel requirement, increased worker satisfaction. Disadvantages of automated preparation are: risk of failure/down time, dependency on power supply, software (updates), high investment costs/high maintenance costs, specialized personnel with additional training, decreased worker satisfaction (early adopter), complexity when products are switched or added, potential for new errors. This review allows the potential user to know the current availability on the market.

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M.L. Sharma and Krishna Chandra Tripathi, Vasu Bansal. "Automated Answer-Checker." International Journal for Modern Trends in Science and Technology 6, no. 12 (December 5, 2020): 152–55. http://dx.doi.org/10.46501/ijmtst061229.

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We have seen that a number of students apply for various examinations which may be institutional, non-institutional or even competitive. The competitive exams mostly have objective or multiple choice questions (mcqs). The automation of scoring of subjective or descriptive answers is a need considered nowadays. This paper focuses on designing an efficient algorithm that will automatically evaluate the answers given by students and assign a score based on the AI technologies which are as good as scores given by a human being. Herein the concept of automatic text similarity has been used to establish an application that would check the answers of provided questions automatically and decide the correctness of the answers.

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Wen, Yuan, Kevin A. Murach, Ivan J. Vechetti, Christopher S. Fry, Chase Vickery, Charlotte A. Peterson, John J. McCarthy, and Kenneth S. Campbell. "MyoVision: software for automated high-content analysis of skeletal muscle immunohistochemistry." Journal of Applied Physiology 124, no. 1 (January 1, 2018): 40–51. http://dx.doi.org/10.1152/japplphysiol.00762.2017.

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Analysis of skeletal muscle cross sections is an important experimental technique in muscle biology. Many aspects of immunohistochemistry and fluorescence microscopy can now be automated, but most image quantification techniques still require extensive human input, slowing progress and introducing the possibility of user bias. MyoVision is a new software package that was developed to overcome these limitations. The software improves upon previously reported automatic techniques and analyzes images without requiring significant human input and correction. When compared with data derived by manual quantification, MyoVision achieves an accuracy of ≥94% for basic measurements such as fiber number, fiber type distribution, fiber cross-sectional area, and myonuclear number. Scientists can download the software free from www.MyoVision.org and use it to automate the analysis of their own experimental data. This will improve the efficiency and consistency of the analysis of muscle cross sections and help to reduce the burden of routine image quantification in muscle biology. NEW & NOTEWORTHY Scientists currently analyze images of immunofluorescently labeled skeletal muscle using time-consuming techniques that require sustained human supervision. As well as being inefficient, these techniques can increase variability in studies that quantify morphological adaptations of skeletal muscle at the cellular level. MyoVision is new software that overcomes these limitations by performing high-content analysis of muscle cross sections with minimal manual input. It is open source and freely available.

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Worzella, Tracy, Matt Butzler, Jacquelyn Hennek, Seth Hanson, Laura Simdon, Said Goueli, Cris Cowan, and Hicham Zegzouti. "A Flexible Workflow for Automated Bioluminescent Kinase Selectivity Profiling." SLAS TECHNOLOGY: Translating Life Sciences Innovation 22, no. 2 (November 15, 2016): 153–62. http://dx.doi.org/10.1177/2211068216677248.

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Kinase profiling during drug discovery is a necessary process to confirm inhibitor selectivity and assess off-target activities. However, cost and logistical limitations prevent profiling activities from being performed in-house. We describe the development of an automated and flexible kinase profiling workflow that combines ready-to-use kinase enzymes and substrates in convenient eight-tube strips, a bench-top liquid handling device, ADP-Glo Kinase Assay (Promega, Madison, WI) technology to quantify enzyme activity, and a multimode detection instrument. Automated methods were developed for kinase reactions and quantification reactions to be assembled on a Gilson (Middleton, WI) PIPETMAX, following standardized plate layouts for single- and multidose compound profiling. Pipetting protocols were customized at runtime based on user-provided information, including compound number, increment for compound titrations, and number of kinase families to use. After the automated liquid handling procedures, a GloMax Discover (Promega) microplate reader preloaded with SMART protocols was used for luminescence detection and automatic data analysis. The functionality of the automated workflow was evaluated with several compound-kinase combinations in single-dose or dose-response profiling formats. Known target-specific inhibitions were confirmed. Novel small molecule-kinase interactions, including off-target inhibitions, were identified and confirmed in secondary studies. By adopting this streamlined profiling process, researchers can quickly and efficiently profile compounds of interest on site.

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Bailey, David H., Jonathan M. Borwein, and Alexander D. Kaiser. "Automated simplification of large symbolic expressions." Journal of Symbolic Computation 60 (January 2014): 120–36. http://dx.doi.org/10.1016/j.jsc.2013.09.001.

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Rusinowitch, Micha�l, and Laurent Vigneron. "Automated deduction with associative-commutative operators." Applicable Algebra in Engineering, Communication and Computing 6, no. 1 (January 1995): 23–56. http://dx.doi.org/10.1007/bf01270929.

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