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2011 International Conference and Workshop on the Current Trends in Information technology, CTIT'11

作者： Khan, Mumtaz Ahmad Sadiq, Mohd. Section of Electrical Engineering University Polytechnic Faculty of Engineering and Technology New Delhi-110025 India Department of Computer Engineering National Institute of Technology Kurukshetra-136119 Haryana India

ISBN: (纸本)9781467300957

Software testing is a process of verifying and validating that a software application or program works as per the users expectations. It is used to find out the important defects, flaws, or errors in the application code. In this paper we have developed a tool to generate different test cases automatically. To show the validity of the tool, we have considered the line equation problem and generated different test cases, and finally we conclude that Robustness Technique is better than Boundary Value Analysis, because the expected output (number of times) in case of Robustness Technique for intersecting lines, parallel lines and coincident lines are 12, 12 and 1 respectively while in case of Boundary Value Analysis it is 8, 8 and 1 respectively. © 2011 IEEE.

关键词： Black-box testing

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Data Replication Methods in Cloud, Fog, and Edge Computing: A Systematic Literature Review

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Wireless Personal Communications 2024年第1期135卷 531-561页

作者： Karamimirazizi, Fatemeh Jameii, Seyed Mahdi Rahmani, Amir Masoud Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Department of Computer Engineering Shahr-e-Qods Branch Islamic Azad University Tehran Iran Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou64002 Taiwan

Nowadays, a large amount of data is being generated and these data are usually stored in distributed environments such as cloud, fog, and edge environments. Data replication, which is commonly used to manage large amounts of data, improves overall accessibility and availability. Due to the importance of data replication, a lot of research has been done on replication methods in these environments. In this paper, a systematic review has been conducted to analyze the existing studies on data replication methods in cloud, fog, edge, and edge-cloud environments. The advantages, disadvantages, and some of the main challenges of the existing methods are explained and a taxonomy of data replication methods is provided. The selected papers are analyzed based on various criteria related to data replication, such as recovery, storage cost, load balancing, replica consistency, security, mobility, and data migration. Finally, the open issues and future research directions are discussed. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Fog

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Blockchain-based privacy and security preserving in electronic health: a systematic review

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Multimedia Tools and Applications 2023年第18期82卷 28493-28519页

作者： Kiania, Kianoush Jameii, Seyed Mahdi Rahmani, Amir Masoud Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Department of Computer Engineering Shahr-e-Qods Branch Islamic Azad University Tehran Iran Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou64002 Taiwan

In today’s world, health and medicine play an undeniable role in human life. Traditional and current Electronic Health Records (EHR) systems that are used to exchange information between medical stakeholders (patients, physicians, insurance companies, pharmaceuticals, medical researchers, etc.) suffer weaknesses in terms of security and privacy due to having centralized architecture. Blockchain technology ensures the privacy and security of EHR systems thanks to the use of encryption. Moreover, due to its decentralized nature, this technology prevents central failure and central attack points. In this paper, a systematic literature review (SLR) is proposed to analyze the existing Blockchain-based approaches for improving privacy and security in electronic health systems. The research methodology, paper selection process, and the search query are explained. 51 papers returned from our search criteria published between 2018 and Dec 2022 are reviewed. The main ideas, type of Blockchain, evaluation metrics, and used tools of each selected paper are discussed in detail. Finally, future research directions, open challenges, and some issues are discussed. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Smart contract

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COVICT: an IoT based architecture for COVID-19 detection and contact tracing

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Journal of Ambient Intelligence and Humanized Computing 2023年第6期14卷 7381-7398页

作者： Wahid, Mirza Anas Bukhari, Syed Hashim Raza Daud, Ahmad Awan, Saeed Ehsan Raja, Muhammad Asif Zahoor Department of Electrical and Computer Engineering COMSATS University Islamabad Attock Campus Islamabad Pakistan Department of Electrical and Computer Engineering Air University Islamabad Islamabad Pakistan Future Technology Research Center National Yunlin University of Science and Technology 123 Uni-versity Road Section 3 Douliou ROC Yunlin64002 Taiwan

The world we live in has been taken quite surprisingly by the outbreak of a novel virus namely SARS-CoV-2. COVID-19 i.e. the disease associated with the virus, has not only shaken the world economy due to enforced lockdown but has also saturated the public health care systems of even most advanced countries due to its exponential spread. The fight against COVID-19 pandemic will continue until majority of world’s population get vaccinated or herd immunity is achieved. Many researchers have exploited the Artificial intelligence (AI) knacks based IoT architecture for early detection and monitoring of potential COVID-19 cases to control the transmission of the virus. However, the main cause of the spread is that people infected with COVID-19 do not show any symptoms and are asymptomatic but can still transmit virus to the masses. Researcher have introduced contact tracing applications to automatically detect contacts that can be infected by the index case. However, these fully automated contact tracing apps have not been accepted due to issues like privacy and cross-app compatibility. In the current study, an IoT based COVID-19 detection and monitoring system with semi-automated and improved contact tracing capability namely COVICT has been presented with application of real-time data of symptoms collected from individuals and contact tracing. The deployment of COVICT, the prediction of infected persons can be made more effective and contaminated areas can be identified to mitigate the further propagation of the virus by imposing Smart Lockdown. The proposed IoT based architecture can be quite helpful for regulatory authorities for policy making to fight COVID-19. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： COVID-19

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Comment on: "Extended Hough transform for linear feature detection"

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Pattern Recognition 2009年第7期42卷 1612-1614页

作者： Chung, Kuo-Liang Chang, Ting-Chin Huang, Yong-Huai Department of Computer Science and Information Engineering National Taiwan University of Science and Technology No. 43 Section 4 Keelung Road Taipei 10672 Taiwan

The extended Hough transform (EHT) method for line detection with an ability to detect any line segment with desired length, formulated by Cha et al. was discussed. The method continued with the gray image with size hw is transferred into the edge map by using the edge detector. The voting process is performed in two 3D Hough spaces, each Hough space is consisted of a set of 2-D Hough planes, to detect line segments. The developed method is also capable of determining the starting point and ending point of each detected line segment. It has also been demonstrated by experiments, and the study aimed to show that after classifying all edge pixels into two types according to the orientations of edge pixels,the execution time required in the voting process of the EHT method can be reduced efficiently. Experimental results indicate that the average practical execution time improvement ratio is 16% and it is very close to the average theoretical execution time improvement ratio.

关键词： Hough transforms

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Centroidal-Polygon: Solving First Order Ordinary Differential Equation using Centroidal mean to improve Euler Method 1

Centroidal-Polygon: Solving First Order Ordinary Differentia...

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1st International Recent Trends in engineering, Advanced Computing and technology Conference, RETREAT 2020

作者： Nur Shahirah, Z. Nooraida, S. Wan Farah Hanan, W.A. Suzanna, R.A. Iliana, M.A. Section of Instrumentation Technology Faculty of Computer Media and Technology Management Faculty of Engineering Tati University College Teluk Kalong Kemaman Terengganu Malaysia

Euler method is one of the oldest and simplest numerical techniques to solve mathematical problems. However, the Euler method lacks accuracy compared to other methods such as the Runge-Kutta and the Adam Bashforth. This research proposed a new scheme by enhancing the Euler method using centroidal mean, i.e. combining the Euler method and the mean concept. In this research, the proposed scheme would be used to improve the accuracy of the first order Ordinary Differential Equation (ODE). The enhanced Euler method was used based on the improved Euler method, which is a midpoint method. To analyse the accuracy of the proposed scheme and the existing schemes, SCILAB 6.0 software was used to compare the results of different step sizes. This research compared the proposed scheme with the Polygon scheme by Zul Zamri and the Harmonic-Polygon scheme by Nurhafizah. By using Centroidal-Polygon as the proposed scheme, more accurate results were yielded. However, the scheme was limited to some of the linear and non-linear equations only. © Published under licence by IOP Publishing Ltd.

关键词： Ordinary differential equations

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Automated Attendance Management System: Leveraging computer Vision for Efficient Tracking and Monitoring 9

Automated Attendance Management System: Leveraging Computer ...

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9th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2023

作者： Nizam, Nabeel Wahid, Abdul Khan, Akbar Elahi, Faizan Kadir, Kushsairy Nadeem, Zain Saad, Muhammad Nasir, Haidawati Buitems Dept. of Electronic Engineering Quetta Pakistan Buitems Deptt. of Computer Engineering Quetta Pakistan British Malaysian Institute Electrical Section UniKL Kuala Lumpur Malaysia Malaysian Institute of Technology Computer Engineering Section UniKL Kuala Lumpur Malaysia

ISBN: (纸本)9798350343380

Face recognition is a bio-metric technology that has been widely adopted for security, authentication, and identification. In recent years, face recognition systems have also been used for attendance management in educational institutions and offices. This paper presents a face recognition-based attendance management system that is designed to replace the time-consuming and error-prone manual attendance process. The system comprises four key phases: database creation, face detection, face recognition, and attendance updating. The initial phase involves the creation of a comprehensive database of images of the students in the class. Subsequently, the system employs the HAAR-Cascade classifier for face detection and the Local Binary Pattern Histogram algorithm for face recognition. The system accurately detects and recognizes faces in real time by analyzing the live video stream from the classroom. Finally, at the conclusion of each session, the attendance records are compiled and stored in a CSV file. The presented system has been validated on a dataset of 100 students. The results show that the system can achieve an accuracy of over 90%. The system is also able to handle variations in lighting and facial expressions. The implementation of this face recognition-based attendance management system can enhance operational efficiency, reduce administrative burdens, and ensure more accurate attendance tracking. © 2023 IEEE.

关键词： Local binary pattern

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Nucleus-based product conceptualization: Application in designing for use 14

Nucleus-based product conceptualization: Application in desi...

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14th International Conference on engineering Design, ICED 2003

作者： Van Der Vegte, W.F. Horváth, I. Section of Computer Aided Design and Engineering Faculty of Industrial Design Engineering Delft University of Technology Landbergstraat 15 Delft2628 CE Netherlands

ISBN: (纸本)1904670008

A significant potential for improvement of products lies in anticipation of various use cases when products are being designed, especially in conceptual design where there is a multitude of options for the designer. This paper presents a methodology to generate resource-integrated models unifying representations of the product, the user and the environment based on nucleus modelling, which is presented in [1], according to scenarios that describe the use of products1. This homogenous representation allows modelling both from an object point of view and a process point of view. A designer can model known use processes and obtain simulation-based predictions of ad-hoc situations. The nucleus is the lowest level modelling entity that can be used equally well in representing the three actors. The time-dependent relations allow behavioural simulation in space and time that is the basis of use-process modelling and forecasting. A case study is presented that clarifies the method of application and the achieved results. The simulation was based on a single scenario;management of multiple scenarios is an issue remaining for future research.

关键词： Conceptual design

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Nucleus-based product conceptualization: Principles and formalization 14

Nucleus-based product conceptualization: Principles and form...

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14th International Conference on engineering Design, ICED 2003

作者： Horváth, I. Van Der Vegte, W.F. Section of Computer Aided Design and Engineering Faculty of Industrial Design Engineering Delft University of Technology Landbergstraat 15 CE Delft2628 Netherlands

ISBN: (纸本)1904670008

Focusing on computer support of conceptual design, the paper introduces the nucleus concept as a vehicle for the development of a novel modelling front-end that can be transitively integrated with commercial CAD systems as well as to extend the functional profile of these systems. The nucleus-based modelling focuses on the relations between the function carriers, rather than on their formation and properties. Relations are governed by the intended operations a product is supposed to provide as well as by the constraints that are imposed on its behaviours. Nucleus-based modelling is dedicated to conceptual design and simulation, but it can also be employed in detail designs and simulation. In conceptual design, artefactual design concepts are decomposed to interrelated nuclei. A nucleus is a purposeful coupling of at most two effect carrier objects, whose geometry is described by half-spaces, a set of nonconflicting physical effects acting on the carrier objects, and situations. The time history of the relationships implies elementary processes that are the basis of behavioural simulation. To represent the geometric and morphological aspects, various modelling techniques such as functional skeleton modelling, vague discrete interval modelling and fuzzy shape modelling can be adapted.

关键词： Conceptual design

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MorPhiC Consortium: towards functional characterization of all human genes

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Nature 2025年第8050期638卷 351-359页

作者： Adli, Mazhar Przybyla, Laralynne Burdett, Tony Burridge, Paul W. Cacheiro, Pilar Chang, Howard Y. Engreitz, Jesse M. Gilbert, Luke A. Greenleaf, William J. Hsu, Li Huangfu, Danwei Hung, Ling-Hong Kundaje, Anshul Li, Shuzhao Parkinson, Helen Qiu, Xiaojie Robson, Paul Schürer, Stephan C. Shojaie, Ali Skarnes, William C. Smedley, Damian Studer, Lorenz Sun, Wei Vidović, Dušica Vierbuchen, Thomas White, Brian S. Yeung, Ka Yee Yue, Feng Zhou, Ting Žurauskienė, Justina Zhong, Aaron Zheng, Shujian Zhao, Hengqiang Zhang, Nan Zhang, Zhehao Zhang, Stephen Zeng, Tony Yu, Bo Yordanova, Galabina N. Yang, Dapeng Xing, De Wang, Xianming Wang, Ping Torre, Denis Tang, Wenzhuo Shivalikanjli, Anu Sengupta, Kaustav Seker, Fidan Ventura, Enrique Sapena Ross, Nicolette C. Rivera-Diaz, Jamilex Rana, Arushi Pongpamorn, Praeploy Poirion, Olivier B. Pillai, Ajay Pilarczyk, Marcin Parker, Devon Ning, Gang Neyisci, Ozlem Nasam, Niharika Mittal, Varun Mitchell, Joshua M. Metzl-Raz, Eyal Meng, Chen Melo-Carrillo, Adrian McDonough, Justin A. Marengo, Gabriel Mao, Yuzhen Leite, Davi Lyra Luo, Renhe Liu, Nianping Liu, Dingyu Liu, Zukai Liu, Si Li, Zhaoheng Kraft, Katerina Koci, Orges A. Kirsammer, Gina Kendra, Angelina Hutter, Carolyn Huebner, Aaron J. Huang, Yung-Hsin Hu, Nan Gupta, Dipayan Gupta, Revant Guo, Tingfeng Griffiths, Alexandra M. Goyal, Juhee Glenn, Rachel A. Garofalo, Jessica L. Fukuda, Bryce Nobutoshi Fu, Yihao Flynn, William F. Flores, Jesse Fletcher, Colin F. Fleming, Patrick J. Felsenfeld, Adam L. Eraslan, Basak Doty, Anthony Dahlstrom, Thomas J. Chung, Caty E. Choudhary, Anshul Cho, Hyein S. Chen, Xintong Chen, Sijie Chan, Chia Baroch, Jacob J. Baker, Dylan S. Bai, Tao Avireddy, Rohan N. V. S. R. K. Amiri, Anahita Diniz, Juliana Alcoforado Abbaszadeh, Neda Robert H. Lurie Comprehensive Cancer Center Department of Obstetrics and Gynecology Northwestern University Feinberg School of Medicine Chicago IL United States Department of Biochemistry and Biophysics University of California San Francisco CA United States Omics Section European Bioinformatics Institute (EMBL-EBI) European Molecular Biology Laboratory Hinxton United Kingdom Department of Pharmacology Center for Pharmacogenomics Northwestern University Feinberg School of Medicine Evanston IL United States William Harvey Research Institute Clinical Pharmacology and Precision Medicine Queen Mary University of London London United Kingdom Department of Dermatology Stanford University Stanford CA United States Department of Genetics Stanford University Stanford CA United States Basic Science and Engineering (BASE) Initiative Stanford University Stanford CA United States Department of Urology University of California San Francisco CA United States Department of Biostatistics Public Health Sciences Fred Hutchinson Cancer Center Seattle WA United States Developmental Biology Program Sloan Kettering Institute New York NY USA School of Engineering and Technology University of Washington Tacoma Tacoma WA United States Departments of Genetics and Computer Science Stanford University Stanford CA United States Jackson Laboratory for Genomic Medicine Farmington CT United States Knowledge Management Section European Bioinformatics Institute (EMBL-EBI) European Molecular Biology Laboratory Hinxton United Kingdom Molecular and Cellular Pharmacology Sylvester Comprehensive Cancer Center University of Miami Coral Gables FL USA Department of Biostatistics University of Washington Seattle WA United States Department of Biochemistry and Molecular Genetics Robert H. Lurie Comprehensive Cancer Center Northwestern University Feinberg School of Medicine Chicago IL United States

Recent advances in functional genomics and human cellular models have substantially enhanced our understanding of the structure and regulation of the human genome. However, our grasp of the molecular functions of human genes remains incomplete and biased towards specific gene classes. The Molecular Phenotypes of Null Alleles in Cells (MorPhiC) Consortium aims to address this gap by creating a comprehensive catalogue of the molecular and cellular phenotypes associated with null alleles of all human genes using in vitro multicellular systems. In this Perspective, we present the strategic vision of the MorPhiC Consortium and discuss various strategies for generating null alleles, as well as the challenges involved. We describe the cellular models and scalable phenotypic readouts that will be used in the consortium's initial phase, focusing on 1,000 protein-coding genes. The resulting molecular and cellular data will be compiled into a catalogue of null-allele phenotypes. The methodologies developed in this phase will establish best practices for extending these approaches to all human protein-coding genes. The resources generated-including engineered cell lines, plasmids, phenotypic data, genomic information and computational tools-will be made available to the broader research community to facilitate deeper insights into human gene functions. © 2025. Springer Nature Limited.

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