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An Ensemble Bootstrap Aggregation for Just-in-Time Defect Prediction on a Code Change Level 2

An Ensemble Bootstrap Aggregation for Just-in-Time Defect Pr...

2nd Odisha International Conference on Electrical Power engineering, Communication and Computing technology, ODICON 2022

作者： Pemmada, Suresh Kumar Nayak, Janmenjoy Behera, H.S. Mohapatra, Subhashree Department of Computer Science and Engineering Tekkali532201 India Mahara Ja Sriram Chandra Bhanja Deo University Department of Computer Science Odisha Baripada757003 India Veer Surendra Sai University of Technology Dept. of Information Technology Odisha Burla768018 India SOA University Department of Computer Science and Engineering Odisha Bhubaneswar7510030 India

ISBN: (纸本)9781665478397

Just-in-time defect prediction (JITDP) is a technique for predicting if a code change is defective. JITDP ensures software quality throughout the design phase and requires developers to check and resolve defects on time. Several recent studies have proposed using JITDP to detect changes that potentially create defects at check-in time. JITDP techniques utilize change metrics obtained from software repositories to forecast defect-inducing changes. In this research, we presented Bootstrap aggregation to detect changes that potentially create defects at check-in time by employing the publicly accessible change metrics dataset Mozilla. The proposed method has been compared to several machine learning techniques to verify the proposed approach's performance. The findings reveal that the proposed approach beat all comparable machine learning methods in various classification measures. In addition to the proposed approach, the decision tree and k nearest neighbor algorithms performed well. © 2022 IEEE.

关键词： Decision trees

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Personalized Course Selection Optimization Using QAOA

Personalized Course Selection Optimization Using QAOA

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Takeru Ota Keisuke Fukada Tatsuhiko Shirai Nozomu Togawa Dept. of Computer Science and Communications Engineering Waseda Univ. Waseda Institute for Adcanced Study Quanmatic Inc.

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

Quantum approximate optimization algorithm (QAOA) is an algorithm for solving combinatorial optimization problems (COP), which can be implemented on gate based quantum computers. However, many practical COPs such as a personalized course selection problem (PCSP) have not been solved by QAOA yet. In this paper, we solve a PCSP using QAOA by transforming the problem into a quadratic unconstrained binary optimization (QUBO), and investigate the solution properties when the weight of the problem's constraint is changed. Experimental evaluations demonstrate that tuning the weight value improves the probability of obtaining optimal solutions and reduces the energy expectation value averaged over the obtained feasible solutions.

关键词： computers Quantum computing Logic gates Approximation algorithms Optimization Tuning Consumer electronics

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On Brooks' Theorem

arXiv

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arXiv 2022年

作者： Gopalan, Sajith Saxena, Sanjeev Dept. of Computer Science and Engineering Indian Institute of Technology Guwahati781039 India Dept. of Computer Science and Engineering Indian Institute of Technology Kanpur208 016 India

In this note we give two proofs of Brooks’ Theorem. The first is obtained by modifying an earlier proof and the second by combining two earlier proofs. We believe these proofs are easier to teach in computer science ...

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An Iterated Local Search Algorithm for Commuting Bus Routing Problem with Latest Arrival Time Constraint

An Iterated Local Search Algorithm for Commuting Bus Routing...

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2022 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2022

作者： Hashimoto, H. Hu, Y. Sugiura, T. Takada, Y. Yagiura, M. Tokyo University of Marine Science and Technology Dept. Logistics and Information Engineering Tokyo Japan Tokyo University of Science Dept. Applied Mathematics Tokyo Japan Nagoya University Graduate School of Information Science Dept. Computer Science and Mathematical Informatics Nagoya Japan

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

Given a set of bus stops and a set of employees, the commuting bus routing problem with latest arrival time constraint (CBRP-LATC) aims to determine routes of buses to carry every employee from the company to one of the bus stops at which he/she wants to get off. Each employee walks to his/her destination after getting off the bus and has a desired time when he/she wants to arrive there, which is called the latest arrival time. The objective is to find a set of routes with the minimum total traveling cost that covers all employees' destinations under bus capacity and latest arrival time constraints. We propose an iterated local search algorithm in which we use two kinds of neighborhood operations called set-del/1-ins and VRP-OPT∗. The set-del/1ins operation consists of three neighborhood operations, setdel, 1-ins and set-del-ins to remove or assign employees from or to a bus route. The VRP-OPT∗ is a local search algorithm to improve the distances of routes based on four neighborhood operations, 2-opt, 2-opt∗, relocate and cross-exchange. Computational results show the effectiveness of the two neighborhood operations. © 2022 IEEE.

关键词： Personnel

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Intensify Assured PHR Sharing In Cloud Using Entropy Based Signature Cryptosystem 1

Intensify Assured PHR Sharing In Cloud Using Entropy Based S...

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1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021

作者： Jaiswal, Rajyalakshmi Iyer, Sailesh Arora, K. Rai University India Computer Science Engineering Dept. Rai School of Engineering Rai University Gujarat Ahmedabad India Department of Computer Applications Manav Rachna International Institute of Research & Studies Haryana Faridabad India

ISBN: (纸本)9781607685395

Personal Health Record in cloud database is stored, manipulated and shared with users for high value of health care. The challenge is privacy of sensitive personal information and protection of data. In this paper, the attribute entropy key along with signature cryptosystem is proposed to move the data's stored in third party cloud server in a secure way. In the proposed work, the personal health records (PHR) data is taken as an input and an attribute is selected for which attribute key generated using KEK (Key Encryption Key) algorithm. To secure the generated key, entropy is calculated for PHR data. This key is used to encrypt the PHR data. Then signature based on support value is generated for the PHR data and it is stored with the encrypted data in the cloud. Now, when the users want to access data, decryption is allowed after verification of both generated private key and signature which basically is for data integrity. Once the verifications are successful, then the authorised users are granted permission to access data from the cloud. The results display that the suggested method performs better when compared with other existing methods on parameters like cipher text size, query processing time, communication cost, and decryption time. © The Electrochemical Society

关键词： Attribute based encryption (ABE) Attribute based Entropy key Key encrypting key (KEK) Signature generation

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Improvising Early Detection of Diabetes through Deep Learning on Retinal Fundus images

Improvising Early Detection of Diabetes through Deep Learnin...

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Electronics and Renewable Systems (ICEARS), International Conference on

作者： Krishna Balaji Maniprabha Shankar Ganesh Daneesh Murali Kalaivani Pachiappan P. Iyyanar Nithya Jayakumar Dept. of Computer Science Kongu Engineering College Erode India Dept. of Information Technology Sona College of Technology Salem India Dept. of Information Technology K.S Rangasamy College of Technology Tiruchengode India

ISBN: (数字)9798331509675

ISBN: (纸本)9798331509682

Diabetes is a chronic disease whose timely and accurate diagnosis will prevent serious complications from health. This paper explores using iridology principles in a deep learning method to detect diabetes from retinal images in order to streamline the process and automate the procedure. The objective here is to create a non-invasive procedure for early and reliable detection of the disease. Deep learning in medical imaging is the new way to interfere with conventional modes of diagnostics. The retinal imaging is non-invasive and has, over the years, been put to use in medical examinations, and its potential is now absolutely being utilized in the early diagnosis of diabetes. A retinal analysis that is based on principles, integrating them into iridology, concentrating on the patterns and signs portrayed in the iris for possible reflections of a general health condition, is aimed at achieving earlier indications of diabetes in a more effortless and rapid way. Models such as ResNet50, ResNet101, and EfficientNetB7 were precious but actually, it was InceptionV3 that delivered a great accuracy of 97.14%. This result proves the feasibility application of InceptionV3 for diagnosing diabetes in the early stages, thus eventually providing an easy and non-invasive way of moving forward to better health.

关键词： Deep learning Renewable energy sources Accuracy Streaming media Retina Reflection Diabetes Reliability Diseases Residual neural networks

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A Compact Microstrip Band-pass Filter for S/C-band Applications

A Compact Microstrip Band-pass Filter for S/C-band Applicati...

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Microwaves Antennas and Propagation Conference (MAPCON)

作者： Anil Kumar Nayak Igor M. Filanovsky Kambiz Moez Amalendu Patnaik Dept. of Electronics and Communication Engineering Indian Institute of Technology Roorkee Uttarakhand India Dept. of Electrical and Computer Engineering iCAS Laboratory University of Alberta Canada

ISBN: (数字)9798350379693

ISBN: (纸本)9798350379709

This paper presents a compact planar ultrawideband (UWB) band-pass filter (BPF). Initially, it employs a compact BPF with a reversible notched band to reject unwanted signals. The second phase entails determining and establishing the conventional microstrip feed’s input impedance at a fixed value of 50 ohms. Then, to eliminate the unwanted signal, a triangleshaped patch is etched from an L-shaped parallel linked transmission line. The bottom part of the BPF receives grounding. The BPF is designed, simulated, and fabricated in the laboratory. The measured fractional impedance bandwidth of 4.42 and 25.83%, minimum insertion loss of 1.40 and 0.32 dB, and minimum total loss of 15 and 8%, along with flat group delay at first and second resonant frequencies, respectively. Notably, BPF exhibits minimal loss, exceptionally low distortion, and acceptable speed. It demonstrates that the simulation and experimental results support the conclusions. The proposed BPF is suitable for S/C-band applications.

关键词： Band-pass filters Microwave measurement Antenna measurements Wireless communication Microstrip filters Bandwidth Transmission line measurements Loss measurement Delays Impedance

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AI -Based Smart Auditorium for Energy and Space Management Using Intelligent Compact Controller

AI -Based Smart Auditorium for Energy and Space Management U...

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Intelligent Data Communication Technologies and Internet of Things (IDCIoT), International Conference on

作者： S. N. Teli Kanchan K. Doke S. Siva Kumar W. Rajan Babu Sachin Gee Paul C. Mohan Raj Dept. of Mechanical Engineering Bharati Vidyapeeth College of Engineering Navi Mumbai Dept. of Computer Engineering Bharati Vidyapeeth College of Engineering Navi Mumbai Dept. of Computer Science and Engineering Nehru Institute of Engineering and Technology Coimbatore Dept. of Electrical and Electronics Engineering Sri Eshwar College of Engineering Coimbatore Tamil Nadu Dept. of Electrical and Electronics Engineering Ilahia College of Engineering and Technology Kerala Dept. of Electrical and Electronics Engineering Sri Eshwar College of Engineering Coimbatore Tamil Nadu India

Efficient use of energy rather than production is essential in this era. A large percentage of electricity is being wasted unnecessarily. This energy wastage often occurs in crowded places such as college auditoriums and movie theaters. Energy efficiency can be brought into practical life by providing only as much energy as there is to as many people as there are. Apart from energy savings, by introducing automation and artificial intelligence, the sizes of even the largest halls can be adapted to suit the needs. Thus space and energy savings can be ensured by limiting the size of the space and the number of appliances required. This is called energy-saving implementation. This is the main objective of the article. FX5U controller is used here for automating the seating selection and actuating the corresponding electromechanical output based on the user input. The input and outputs are independently controlled and the efficient energy and space management can be accomplished by implementing the suitable AI algorithm as a script or ladder in the FX5U controller side. The GOT2000 is used for interfacing / data transferring between the human and the machine.

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Mouse Cursor Control Using Dynamic Hand Gesture Recognition

Mouse Cursor Control Using Dynamic Hand Gesture Recognition

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Communication, Computing and Signal Processing (IICCCS), IEEE International Conference on

作者： Darryll Fonseca Tanmoy Majumder Banita Mitra Arpita Das Biswajit Das Anirban Bhowmik School of Computer Engineering Vellore Institute of Technology Chennai India School of Electronics Engineering Vellore Institute of Technology Chennai India Dept. of Electronics and Communication Engineering Tripura Institute of Technology Agartala

ISBN: (数字)9798350390759

ISBN: (纸本)9798350390766

Hand gestures are the most common way of interaction among humans in the physical world. Gestures are used in everyday life to interact with objects around us. Hand gesture is becoming the most comfortable alternative technique to replace the conventional mouse. Herein, we report the development of a dynamic hand gesture user interface that tracks and recognizes in real time based on color segmentation and recognition. Operation such as file dragging, right and left clicks and scrolling up and down has been studied. The colors are calibrated in order to make sure that no other similar shades of color from the background interfere during the process.

关键词： Heuristic algorithms Memory management Signal processing algorithms Color Gesture recognition User interfaces Signal processing Real-time systems Telecommunication computing

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Synergistic dynamics of heart rate variability and systolic blood pressure revealed by dual Poincaré plot analysis 46

Synergistic dynamics of heart rate variability and systolic ...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Agarwal, Prachi Guo, Yu Gharibani, Payam Prakash, Poorna Thakor, Nitish V. At Johns Hopkins University School of Medicine Dept. of Electrical and Computer Engineering BaltimoreMD21205 United States At Johns Hopkins University School of Medicine Dept. of Biomedical Engineering BaltimoreMD21205 United States At Johns Hopkins University School of Medicine Dept. of Neurology BaltimoreMD21205 United States Thomas Jefferson High School for Science and Technology AlexandriaVA22312 United States

ISBN: (纸本)9798350371499

Cardiac arrest (CA) survivors often suffer secondary brain injury due to impaired autonomic nervous system (reflected by heart rate HR) and hemodynamic function (reflected by blood pressure BP and baroreflex regulation). This study proposes a Dual Poincaré Plot, a novel method analyzing coupled variability in HR - BP dynamics to assess these impairments. Ten rats were categorized into good and poor neurological outcome groups in a rat model of CA. Dual Poincaré plot analysis, squared partial directed coherence, and sequence method were used to characterize the outcome. Results revealed differences in variability of HR, BP, and baroreflex, as well as coupling strength, between groups. Good outcome subjects exhibited 1) increased variability in both BP and HR, 2) enhanced baroreflex regulation, and 3) weakened cardiovascular coupling. Conversely, subjects with poor outcomes displayed 1) decreased HR-BP variability, 2) impaired baroreflex, and 3) stronger coupling. The Baroreflex Index from the Dual Poincaré plot showed a high correlation with the traditional sequence method (R2 = 0.91). These results imply that Dual Poincaré offers a real-time assessment of autonomic-hemodynamic interaction, effectively stratifying post-CA neurological recovery and potentially enhancing prognostic accuracy for timely interventions. © 2024 IEEE.

关键词： Rats

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