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SightAssist: A Multi-facility Machine Learning Approach for Empowering the Visually Impaired 2nd

SightAssist: A Multi-facility Machine Learning Approach for...

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2nd International conference on Data Science and Network engineering, ICDSNE 2024

作者： Bandopadhyay, Saikat Dutta, Jhalak Das, Smita Datta, Soumyajit Ghosh, Debaditya Dey, Rohit Kumar Nandigrami, Jeet Department of Artificial Intelligence and Machine Learning Netaji Subhash Engineering College Kolkata India Department of Computer Science and Engineering Heritage Institute of Technology Kolkata India Department of Computer Science and Engineering National Institute of Technology Agartala India Department of Artificial Intelligence and Machine Learning Heritage Institute of Technology Kolkata India

ISBN: (纸本)9789819783359

Blindness or visual impairment ranks among the top ten disabilities affecting both men and women, impacting over 35 million individuals of all ages in India. Access to visual information is crucial for enhancing the independence and safety of blind and visually impaired individuals. There exists a compelling imperative to develop assistive technologies that can significantly improve their quality of life. This paper presents SightAssist, a multilingual software solution designed to address the challenges faced by the visually impaired community in India. SightAssist utilizes a camera-based approach to serve as a digital prosthetic eye and virtual assistant, capable of currency detection, facial recognition, and providing various functionalities to assist with daily activities. Initially, a custom-labeled dataset has been prepared using a pre-trained YOLO model. Gradually, dataset pre-processing, normalization, and semantic segmentation are employed to optimize model performance. Additionally, voice-based accessibility features have been integrated using the Web Speech API, enabling users to interact with the application through voice commands. The experimental results show the successful development of SightAssist and its potential to significantly improve the lives of visually impaired people. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Assistive technology

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Code and Craft: How Generative AI Tools Facilitate Job Crafting in software Development 58

Code and Craft: How Generative AI Tools Facilitate Job Craft...

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58th Hawaii International conference on System Sciences, HICSS 2025

作者： Freise, Leonie Rebecca Bruhin, Olivia Ritz, Eva Li, Mahei Manhai Leimeister, Jan Marco University of Kassel Germany University of St.Gallen Switzerland

ISBN: (纸本)9780998133188

The rapid evolution of the software development industry challenges developers to manage their diverse tasks effectively. Traditional assistant tools in software development often fall short of supporting developers efficiently. This paper explores how generative artificial intelligence (GAI) tools, such as Github Copilot or ChatGPT, facilitate job crafting-a process where employees reshape their jobs to meet evolving demands. By integrating GAI tools into workflows, software developers can focus more on creative problem-solving, enhancing job satisfaction, and fostering a more innovative work environment. This study investigates how GAI tools influence task, cognitive, and relational job crafting behaviors among software developers, examining its implications for professional growth and adaptability within the industry. The paper provides insights into the transformative impacts of GAI tools on software development job crafting practices, emphasizing their role in enabling developers to redefine their job functions. © 2025 IEEE computer Society. All rights reserved.

关键词： AI-assisted software engineering AI-driven Job Crafting Work Environment Transformation

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Innovative Motion Sensing System with Labview 14th

Innovative Motion Sensing System with Labview

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14th EAI International conference on Broadband Communications, Networks, and systems, BROADNETS 2024

作者： Vidyadhar, R. Phani Ravindra, J.V.R. Kumar, G. A. E. Satish Sandeep, Yanigandla Ashwitha, Kanugula Mantri, Devansh Vishvakumari, Faldu Department of ECE Vardhaman College of Engineering Telangana Hyderabad India RK University Gujarat Rajkot India

ISBN: (纸本)9783031811678

Nowadays children’s used to play and going near restricted areas like transformers and borewells due to that they are getting affected by such incidents ensure that we are performing a system called Innovative Motion Sensing with LabVIEW. This system will be built to instantly detect motion and send alerts or initiate actions according to the motion. LabVIEW software will be used for terminating this project. This Motion Detection System can be used for automotive safety in addition to restricted locations. The system’s primary objective will be to detect motion in real time and send out notifications or start events according to the motion. Several motion situations will be used to test and evaluate the system, including performance measures like accuracy and detection, different motion situations will be used to test and validate the system, and performance metrics including accuracy and detection time will be assessed. In this project, a GSM module is utilized to communicate with a nearby CELL Tower and transmit the message to a mobile device. Intelligent Motion Detection System for effectively identifying movement or motion inside a predetermined area and prompt timely replies or actions. With the help of this system, security, monitoring, and automation are all intended to be improved in a number of applications, and motion-related events will be handled proactively. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Motion sensors

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Influence of Pure and Unit-Like Tests on SBFL Effectiveness: An Empirical Study 18

Influence of Pure and Unit-Like Tests on SBFL Effectiveness:...

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18th IEEE International conference on software Testing, Verification and Validation Workshops, ICSTW 2025

作者： Szatmári, Attila Gergely, Tamás Beszédes, Árpád University of Szeged Software Engineering Department Szeged Hungary

ISBN: (纸本)9798331534677

One of the most challenging and time-consuming aspects of debugging is identifying the exact location of the bug. We propose the concept of a Pure Unit Test (PUT), which, when fails, can unambiguously determine the location of the faulty method. Based on developer experience, we established three heuristics to evaluate the degree to which a test can be considered a unit test, if it cannot be considered as a PUT (we call these Unit-Like Tests, or ULTs). We examined how and when PUTs and ULTs affect Spectrum-Based Fault Localization efficiency. The results demonstrate that, for more complex systems, a higher proportion of unit tests in the relevant test cases can enhance the effectiveness of fault localization. When the number of PUTs is high enough, fault localization becomes trivial, in that case running SBFL is not necessary. Moreover, our findings indicate that different kinds of ULTs can have a large impact on the efficiency of fault localization, particularly for simpler bugs where they can quickly and effectively pinpoint the problem areas. © 2025 IEEE.

关键词： Fault localization Spectrum-Based Fault Localization test levels unit testing

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New Cloud Computing Authentication Based on Secure Hash Algorithm (SHA-3) and Lightweight Sosemanuk Algorithm 2nd

New Cloud Computing Authentication Based on Secure Hash Algo...

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2nd International conference on Cyber Intelligence and Information Retrieval, CIIR 2023

作者： Niaf, Jolan Rokan Kadhim, Aqeel Kamil Mohammed, Qutaiba Humadi Hoomod, Haider K. Salman, Muna Muhsen Iraqi Commission for Computers & Informatics Informatics Institute for Postgraduate Studies Baghdad Iraq Computer Techniques Engineering Department Imam Al-Kadhim College Baghdad Iraq College of Nursing University of Baghdad Baghdad Iraq College of Education Al-Mustansiriyah University Baghdad Iraq Ministry of Science and Technology Department of Information Technology Baghdad Iraq

ISBN: (纸本)9789819776023

The term "cloud computing" refers to a vast network of linked, virtually hosted, and easily updatable computer resources. That are capable of consisting of a number of different apps and offering a number of different services to customers, and that have the potential to do so. Customers are required to pay for the cost of using the Services in accordance with the company's "pay-for-use only" policy. However, there are certain firms, such as Google Inc, that provide customers with particular free storage space even though the services provided by the company are limited, specifically with regard to the public cloud. A third-party service provider frequently owns and maintains the infrastructure required to run cloud computing services. But because more and more data and files pertaining to individuals and businesses are being stored in the cloud, worries have started to grow about how safe it actually is. Among these are the protection of software for virtualization and distributed computing, the safety of application software, the administration of identities, and the authentication and restriction of access. Nevertheless, efficient user authentication is the most essential need of cloud computing, as it limits unauthorized usage of a cloud server. Cloud computing has become increasingly popular in recent years. In this research, we present a new authentication method between users and online computing systems that is based on the suggested secure hash algorithm (SHA-3) and makes use of the lightweight Sosemanuk method. We created this technique. That system is going to be known as the SoSha3 system. The design that has been proposed for the system deals with data in three different sizes: 128, 256, and 512 bits. In order to make these authentication systems suitable for cloud computing at high rates, some modifications were made to them. The three-dimensional chaotic system, also known as the Lorenz system, will be combined with the authentication architecture tha

关键词： Cloud security

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Next POI Recommendation based on Adaptive Graph Learning and Future Preferences 29th

Next POI Recommendation based on Adaptive Graph Learning and...

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29th International conference on Database systems for Advanced Applications (DASFAA)

作者： Li, Xiaoxue Li, Bohan Chen, Yijun Liu, Xinyue Xu, Shuai Wang, Meng Nanjing Univ Aeronaut & Astronaut Coll Artificial Intelligence & Comp Sci & Technol Nanjing Peoples R China Minist Ind & Informat Technol Collaborat Innovat Ctr Novel Software Technol & I Nanjing Peoples R China Natl Engn Lab Integrated AeroSp Ground Ocean Big Xian Peoples R China Tongji Univ Coll Design & Innovat Shanghai Peoples R China

ISBN: (纸本)9789819755547;9789819755554

Next Point-of-Interest(POI) recommendation focuses on predicting the next location a user would visit, where the demands of users depend on the implicit user preference implied by the past behavioral trajectories and are influenced by future behavior factors as well. However, most existing methods that consider user future preference merely focus on the fine-grained POI check-in trajectories of single users' sequential migrations. This overlooks the potential benefits of incorporating coarse-grained signals (global check-ins) to enhance user preference learning. And yet, traditional global coarse-grained structures are mainly constructed by graph neural networks and fixed graph structures to obtain POI representations that aggregate information and capture node correlations, which can move away from the optimal graph structure due to noise and adaptation issues, leading to sub-optimal performance of recommendations. In this paper, we propose a framework based on Adaptive Graphs Learning and Future Preferences(AGFP), which develop an adaptive POI graph matrix and learns it via similarity learning with POI embeddings, after which we merge the learning POI representation with the side information and spatio-temporal information, then generate the user's future preferences through the fusion of long-term preference encoder with the short-term preference encoder in a self-ensembling manner. Our model is extensively experimented on three real-world datasets. The experimental results demonstrate that AGFP shows superior performance.

关键词： Next POI Recommendation Graph Structure Learning Future Preferences

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Measurement of Performance Parameters in the GPON Optical Network 23

Measurement of Performance Parameters in the GPON Optical Ne...

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23rd Slovak-Czech-Polish Optical conference on Wave and Quantum Aspects of Contemporary Optics

作者： Trubák, Kamil Štípal, Jiří Látal, Jan Šiška, Petr Vojtěch, Josef Hristov, Hristo Department of Telecommunications Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava 17. listopadu 2172/15 Ostrava-Poruba708 00 Czech Republic CESNET a. l. e. Zikova 1903/4 Prague160 00 6 Czech Republic Department of Software Technologies Plovdiv University "Paisii Hilendarski" Plovdiv4000 Bulgaria

ISBN: (数字)9781510688094

ISBN: (纸本)9781510688087

With the increasing number of end users that are using multimedia services, demand for access network high bitrate systems with sufficient quality of services also increases. However, this might not always be ensured by the telecom operators, as they must perform network optimization concerning Quality of Service (QoS) and multimedia data transmission. In this work, we focused on Gigabit Passive Optical Network (GPON) performance testing with the help of various tools (iPerf, RFC 6349 or ITU-T Y.1564). The Grafana software tool is used to monitor data streams. Measurements were made to limit the downstream bitrate of up to 20 end users at 100 Mbit/s. Based on the repeated measurements, an aggregation curve is modelled indicating the available bitrate with respect to the network load. © 2025 SPIE.

关键词： Internet protocols

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Parkinson’s Disease Detection from Resting State EEG Using Multi-head Graph Structure Learning with Gradient Weighted Graph Attention Explanations 7th

Parkinson’s Disease Detection from Resting State EEG Using...

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7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, Held in Conjunction with 27th International conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2024

作者： Neves, Christopher Zeng, Yong Xiao, Yiming Department of Computer Science and Software Engineering Concordia University MontrealQC Canada Concordia Institute for Information Systems Engineering Concordia University MontrealQC Canada

ISBN: (纸本)9783031787607

Parkinson’s disease (PD) is a debilitating neurodegenerative disease that has severe impacts on an individual’s quality of life. Compared with structural and functional MRI-based biomarkers for the disease, electroencephalography (EEG) can provide more accessible alternatives for clinical insights. While deep learning (DL) techniques have provided excellent outcomes, many techniques fail to model spatial information and dynamic brain connectivity, and face challenges in robust feature learning, limited data sizes, and poor explainability. To address these issues, we proposed a novel graph neural network (GNN) technique for explainable PD detection using resting state EEG. Specifically, we employ structured global convolutions with contrastive learning to better model complex features with limited data, a novel multi-head graph structure learner to capture the non-Euclidean structure of EEG data, and a head-wise gradient-weighted graph attention explainer to offer neural connectivity insights. We developed and evaluated our method using the UC San Diego Parkinson’s disease EEG dataset, and achieved 69.40% detection accuracy in subject-wise leave-one-out cross-validation while generating intuitive explanations for the learnt graph topology. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Contrastive Learning

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The Development and Application of Virtual Experiment Platform for Function Parameter Passing 14

The Development and Application of Virtual Experiment Platfo...

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14th International conference on Educational and Information Technology, ICEIT 2025

作者： Tian, Shengli Hu, Tao Du, Genyuan School of Information Engineering Xuchang University Xuchang461000 China

ISBN: (纸本)9798331540883

As computer programs run in the highly complex systems of hierarchical software and hardware, it is difficult to be visually observed, the problem of function parameter passing has become a pain point for teachers and students. There are four ways to pass parameters, and no programming language can support all the four ways. To meet the needs of different learners, an online virtual experiment platform of parameter passing is developed, where the experiments of four methods parameter passing can be carried out. In addition, the experiments could be done by a mobile phone, which the space-time limit of learning is broken. In virtual simulation module, the dynamic changes of computer memory could be simulated and displayed when the function pseudo-code is running, so that the parameter passing process becomes intuitive, and it is easy for students to understand the working mechanism of function parameter passing. Finally, the teaching goal is achieved by the joint action of the other modules, such as basic training, extended improvement and test enhancement, etc. The results of practice show that the enthusiasm and initiative of students are improved, and it has obvious results in assisting students to master the knowledge of function parameter passing. © 2025 IEEE.

关键词： Students

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Embedded systems Security Co-design: Modeling Support for Managers and Developers 25th

Embedded Systems Security Co-design: Modeling Support for M...

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Topical Area: software, System and Service engineering, S3E 2024, Held as Part of FedCSIS 2024, and 25th conference on Practical Aspects of and Solutions for software engineering, KKIO 2024, held as part of SEAA 2024

作者： Fischer, Alexander Tolvanen, Juha-Pekka Kolagari, Ramin Tavakoli Nuremberg Institute of Technology Bavaria Nuremberg Germany MetaCase Jyväskylä Finland

ISBN: (纸本)9783031849121

The proliferation of connected and autonomous vehicle technologies has significantly increased cybersecurity risks. Modern vehicles, as complex and networked computer systems, require comprehensive protection against malicious ejpt@*** attacks, much like conventional computers. Addressing these challenges requires robust tools that align established automotive model-based development approaches with the ISO/SAE 21434 standard for automotive cybersecurity, which became mandatorpublication in 2021. Building on prior research, this paper introduces key innovations in the conceptual framework and the tool support that integrate seamlessly into existing automotive development methodologies. These advancements are rooted in extensions to the Security Abstraction Model (SAM) informed by the ISO/SAE 21434 standard. Notably, SAM now incorporates advanced methods for score calculation, including an attack potential-based approach for assessing attack feasibility and the computation of risk scores using risk matrices. Usability improvements are also a contribution, achieved through the introduction of BPMN-style (Business Process Model and Notation) diagrams tailored for the accessible visualization of otherwise complex security models. These diagrams make multifaceted attack trees easier to interpret, enabling managers and other non-technical stakeholders to intuitively understand security vulnerabilities and make informed decisions. Additionally, the tool supports updated metrics for impact and risk analysis, demonstrated through practical applications involving automotive subsystems such as braking. These examples illustrate improved traceability between SAM and functional design, ensuring that cybersecurity requirements are effectively integrated into the broader development lifecycle. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： ISO Standards

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