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Human Verification over Activity Analysis via Deep Data Mining

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Computers, Materials & Continua 2023年第4期75卷 1391-1409页

作者： Kumar Abhishek Sheikh Badar ud din Tahir senior Member IEEESeattle98103USA Department of software Engineering Capital University of Science and Technology(CUST)Islamabad44000Pakistan

Human verification and activity analysis(HVAA)are primarily employed to observe,track,and monitor human motion patterns using redgreen-blue(RGB)images and *** human interaction using RGB images is one of the most complex machine learning tasks in recent *** models rely on various parameters,such as the detection rate,position,and direction of human body components in RGB *** paper presents robust human activity analysis for event recognition via the extraction of contextual intelligence-based *** use human interaction image sequences as input data,we first perform a few denoising ***,human-to-human analyses are employed to deliver more precise *** phase follows feature engineering techniques,including diverse feature ***,we used the graph mining method for feature optimization and AdaBoost for *** tested our proposed HVAA model on two benchmark *** testing of the proposed HVAA system exhibited a mean accuracy of 92.15%for the Sport Videos in theWild(SVW)*** second benchmark dataset,UT-interaction,had a mean accuracy of 92.83%.Therefore,these results demonstrated a better recognition rate and outperformed other novel techniques in body part tracking and event *** proposed HVAA system can be utilized in numerous real-world applications including,healthcare,surveillance,task monitoring,atomic actions,gesture and posture analysis.

关键词： AdaBoost classification deep features mining graph mining human detection human verification

Evaluation of computer imaging technique for predicting the SPAD readings in potato leaves

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Information Processing in Agriculture 2017年第4期4卷 275-282页

作者： M.S.Borhan S.Panigrahi M.A.Satter H.Gu Research Specialist Agricultural and Biosystems Engineering DepartmentNorth Dakota State UniversityFargoND 58105USA Electrical and Computer Engineering Technology Purdue University West LafayetteIN 47907USA Agricultural and Biosystems Engineering Department North Dakota State UniversityFargoND 58105USA Graduate Student Computer Science DepartmentNorth Dakota State UniversityFargoND 58105USA senior software developer Psychology DepartmentNorth Dakota State UniversityFargoND 58105USA

Facilitating non-contact measurement,a computer-imaging system was devised and evaluated to predict the chlorophyll content in potato leaves.A charge-coupled device(CCD)camera paired with two optical filters and light chamber was used to acquire green(550±40 nm)and red band(700±40 nm)images from the same *** leaves from 15 plants differing in coloration(green to yellow)and age were selected for this *** based image features,such as mean and variances of green and red band images,were extracted from the *** analyses demonstrated that the variations in SPAD meter reading could be explained by themeangrayandvariances of gray scale *** fitted least square models based on the mean gray scale levels were inversely related to the chlorophyll content of the potato leaf with a R^2 of 0.87 using a green band image and with an R2 of 0.79 using a red band *** the extracted four image features,the developed multiple linear regression model predicted the chlorophyll content with a high R^2 of 0.88).The multiple regression model(using all features)provided an average prediction accuracy of 85.08% and amaximum accuracy of 99.8%.The prediction model using only mean gray value of red band showed an average accuracy of 81.6% with a maximum accuracy of 99.14%.

关键词： Computer imaging Chlorophyll SPAD meter Regression Prediction accuracy

Profile of Factors of Arduous Work among Healthcare Professionals in Healthcare Facilities in Northern Benin in 2021

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Occupational Diseases and Environmental Medicine 2024年第1期12卷 41-48页

作者： Gounongbé Ahoya Christophe Fabien Mama Cissé Ibrahim Lompo Marthe Sandrine Azandjèmè Colette Bèhanzin Luc Faculty of Medicine University of Parakou Parakou Benin Health Sciences Training and Research Unit Joseph Ki-Zerbo University Ouagadougou Burkina Faso Regional Institute of Public Health of Ouidah University of Abomey-Calavi Abomey-Calavi Benin National Training School for senior Technicians in Public Health and Epidemiological Surveillance University of Parakou Parakou Benin

Introduction: Work environments create the basis for arduous nursing work. This is what led us to research the factors of arduousness in the exercise of the health profession in North Benin, through this study. Methods: This is a cross-sectional and descriptive study which focused on health professionals in the health zones of Parakou-N’dali and Tchaourou. The sampling was an exhaustive census. All health workers who had given their free and informed consent were included. The data was collected using a questionnaire. The variables studied were the factors of arduous work and socio-professional characteristics. The data collected was processed and analyzed with the Epi info 7.***.0.1 software. Results: A total of 692 were surveyed, the participation rate was 85.11% and the sex ratio (M/F) equal to 0.7. The average age was 38 years old. Nurses made up 32.66% of the sample. They were 86.42% subject to night work and 82.66% to alternating work. Overall, 70.23% worked more than 40 hours per week. Between 78.12% and 96.46% of non-specialist doctors, nurses, midwives and biomedical analysis technicians were required to work night shifts. Nurses, midwives, radiology and laboratory technicians were between 89.53% and 97.35%, organized in alternating work. In the sample, 55.20% complained about the insufficient number of work materials, 26.29% handled harmful chemical substances. Among those surveyed, 58.14% had been attacked. Conclusion: All professional categories of caregivers are subject to arduous work. Measures are needed to reverse the situation.

关键词： Hard Work Professionals Health North-Bénin

Structural Finite Element software Coupling Using Adapter Elements

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Computer Modeling in Engineering & Sciences 2019年第9期120卷 719-737页

作者： Andreas H.Schellenberg Yuli Huang Stephen A.Mahin senior Engineer Maffei Structural EngineeringSan FranciscoCA 94111USA senior Structural Analyst ArupSan FranciscoCA 94111USA

This paper describes a versatile and computationally efficient method for coupling several finite element analysis(FEA)programs together so that the unique modeling and analysis capabilities of each code can be utilized simultaneously to simulate the static or dynamic response of a complete numerical *** arbitrary number of finite element analysis software packages can be coupled by adding two special types of elements,namely generic and adapter elements,to each of the finite element applications using their programming *** elements are inserted at the interfaces between the different sub-domains of the complete system modeled by each finite element analysis software *** of data between the coupled FEA codes is accomplished in a modular and synchronized manner using OpenFresco(Opensource Framework for Experimental Setup and Control).OpenFresco is an objectoriented,environment independent software framework initially developed for hybrid simulation in which certain aspects of a complete structure are simulated numerically and other aspects are simultaneously tested *** important practical advantage of this coupled analysis approach is that all of the connected FEA codes run concurrently and continuously,decreasing analysis time consumption by an order of magnitude or more compared to more traditional approaches that shut down and restart the coupled analysis codes at each integration time *** implementation and accuracy of this approach to FE software coupling are demonstrated using dynamic analyses of three simple structural models from the field of earthquake engineering.

关键词： software coupling co-simulation adapter element OpenFresco

Visual News Ticker Surveillance Approach from Arabic Broadcast Streams

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Computers, Materials & Continua 2023年第3期74卷 6177-6193页

作者： Moeen Tayyab Ayyaz Hussain Usama Mir M.Aqeel Iqbal Muhammad Haneef Department of Computer Science and software Engineering International Islamic UniversityIslamabad44000Pakistan Department of Computer Science Quaid-i-Azam UniversityIslamabad44000Pakistan Department of Computer Science Senior Member IEEEUniversity of WindsorN9B 3P4Canada Department of software Engineering Foundation University IslamabadIslamabad44000Pakistan Department of Electrical Engineering Foundation University IslamabadIslamabad44000Pakistan

The news ticker is a common feature of many different news networks that display headlines and other *** ticker recognition applications are highly valuable in e-business and news surveillance for media regulatory *** this paper,we focus on the automatic Arabic Ticker Recognition system for the Al-Ekhbariya news *** primary emphasis of this research is on ticker recognition methods and storage *** that end,the research is aimed at character-wise explicit segmentation using a semantic segmentation technique and words identification *** proposed learning architecture considers the grouping of homogeneousshaped *** incorporates linguistic taxonomy in a unified manner to address the imbalance in data distribution which leads to individual ***,experiments with a novel ArabicNews Ticker(Al-ENT)dataset that provides accurate character-level and character components-level labeling to evaluate the effectiveness of the suggested *** proposed method attains 96.5%,outperforming the current state-of-the-art technique by 8.5%.The study reveals that our strategy improves the performance of lowrepresentation correlated character classes.

关键词： Arabic text recognition optical character recognition deep convolutional network SegNet LeNet

Interactive Fault Localization Using Test Information

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Journal of Computer Science & Technology 2009年第5期24卷 962-974页

作者：郝丹张路 senior Member 谢涛梅宏孙家骕 Key Laboratory of High Confidence software Technologies Ministry of Education Institute of Software School of Electronics Engineering and Computer Science Peking University Beijing 100871 China Department of Computer Science North Carolina State University Raleigh NC 27695 U.S.A.

Debugging is a time-consuming task in software development. Although various automated approaches have been proposed, they are not effective enough. On the other hand, in manual debugging, developers have difficulty in choosing breakpoints. To address these problems and help developers locate faults effectively, we propose an interactive fault-localization framework, combining the benefits of automated approaches and manual debugging. Before the fault is found, this framework continuously recommends checking points based on statements＇ suspicions, which are calculated according to the execution information of test cases and the feedback information from the developer at earlier checking points. Then we propose a naive approach, which is an initial implementation of this framework. However, with this naive approach or manual debugging, developers＇ wrong estimation of whether the faulty statement is executed before the checking point （breakpoint） may make the debugging process fail. So we propose another robust approach based on this framework, handling cases where developers make mistakes during the fault-localization process. We performed two experimental studies and the results show that the two interactive approaches are quite effective compared with existing fault-localization approaches. Moreover, the robust approach can help developers find faults when they make wrong estimation at some checking points.

关键词： debugging fault localization interactive approach

Are Virtual Conferences Here to Stay?

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Engineering 2021年第3期7卷 280-281页

作者： Chris Palmer senior Technology Writer

Driven by concerns about the carbon footprint of air travel,time taken away from family and work duties,and ever-tightening bud-gets,many science and engineering organizations in the past few years had begun to explore the potential for virtual scientific exchange,using digital tools to enhance the in-person experience and allow for greater participation online,both live and ***,the social distancing constraints imposed by the coronavirus disease 2019(COVID-19)pandemic have pushed the vast majority of these organizations to jump entirely into the virtual ***,in a convergence of widely available hardware,bandwidth,and innovative software,the technology now exists to transform many aspects of in-person conferences into virtual ones.

关键词： hardware entirely travel

The Rise of No/Low Code software Development-No Experience Needed?

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Engineering 2020年第9期6卷 1083-1085页

作者： Marcus Woo senior Technology Writer

纽约市的官员想要追踪新冠病毒肺炎(COVID-19)在城市中肆虐的情况,并有效地为有需要的人提供服务。为此,他们建立了一个在线门户网站,用于收集COVID-19感染者以及病例接触者的信息。速度至关重要,COVID-19门户网站三天后便上线运行了,... 详细信息

纽约市的官员想要追踪新冠病毒肺炎(COVID-19)在城市中肆虐的情况,并有效地为有需要的人提供服务。为此,他们建立了一个在线门户网站,用于收集COVID-19感染者以及病例接触者的信息。速度至关重要,COVID-19门户网站三天后便上线运行了,而这一切都无需编写任何代码[1]。这一壮举由纽约市的初创公司Unqork所开发的无代码(no-code)软件开发平台实现。

关键词：门户网站软件开发初创公司 COV 代码纽约市 ID

Nurses’ Experiences in Service Provision a COVID-19 Dedicated Tertiary Public Hospital

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Open Journal of Nursing 2022年第11期12卷 725-737页

作者： Suniti Halder Poly Rani Kundu Auparna Biswas senior Staff Nurse Dhaka Medical College Hospital Dhaka Bangladesh senior Staff Nurse Sadar Hospital Narail Narail Bangladesh senior Staff Nurse National Institute of Cancer Research and Hospital Dhaka Bangladesh

Objectives: To assess the nurses’ experiences in service provision a COVID-19 dedicated tertiary public hospital. Materials and Methods: This descriptive cross-sectional study was conducted in one tertiary level public hospital namely Dhaka Medical College Hospital (DMCH), Dhaka, Bangladesh from January to December 2021. Data were collected through face-to-face interview using a structured questionnaire containing demographic details and experiences faced by the nurses in service provision during COVID-19. Data was analysed by using SPSS (Statistical Package for Social Science) software version 23. Results: The findings revealed that the mean age of the respondents was 32.35 ± 7.248 years, the minimum age was 23 years and maximum age was 58 years. About half of the respondents 52.1% were in 21 - 30 years. The majorities 89% were female. More than half of the respondents 72.6% were Muslim and 63.83% of respondents have completed Diploma in nursing. About 32.2% respondents were living with senior citizen, 33% respondents were infected by COVID-19, 24.23% respondent mentioned nurse-Patient ratio in general ward was 1:7 and 71.08% mentioned nurse-patient ratio in I.C.U/C.C.U. was 1:3 (December 2021). PPE were available among 88.0% respondents and N95 mask were available among 84.0% respondent. About 34.8% respondents got COVID-19 guideline training and 32.4% got donning and doffing training. More than half of the respondents 76% stated that equipment is adequate, 56.38% respondents mention that insufficient of nurses and 53.7% were mentioned insufficient of subordinate staff. About 22.6% respondents faced social stigma and majorities 96.5% respondents mentioned they got proper family support. There was a significant association found between Professional educational qualification and satisfaction of current designation (p value = 0.001 Conclusion: The most important findings of this study was lack of training, insufficient of manpower especially nurses and subordinate s

关键词： Nurses’ Experiences Service Provision COVID-19 Tertiary Public Hospital