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Software Engineering and Computer Science (CSECS), International Conference on

作者： Peng Wang Kaiyuan Qi Dept. Cloud Computing Research and Development Inspur Group Co. Ltd Jinan Inspur Data Technology Co. Ltd Jinan China

ISBN: (数字)9798331522216

ISBN: (纸本)9798331522223

In recent years, page-table the applications of virtual reality, augmented reality and mixed reality have become more and more popular, all of which are essentially image rendering. Graphics rendering requires a lot of calculations to determine the rendering parameters of each pixel. However, how to reveal the micro-architecture characteristics of GPGPU to help architects increase optimization opportunities and improve the performance of microprocessors becomes imperative. In this article, we propose RenderMiner, a framework which comprehensively characterizes the GPGPU rendering programs at the instruction and memory levels. Specifically, we design instruction mix based on the SASS instruction set, instruction frequency, register reuse distribution and memory call stack to efficiently depict the micro-architecture characteristics of rendering programs and compare with the non-rendering programs. We use RenderMiner to analyze the inherent behaviors of rendering programs combined with machining learning methods through 60 CPU rendering programs, 34 GPU rendering programs, 52 GPU non-rendering programs such as Rodinia and Parboil, and some real-world workloads, such as V-Ray5 Benchmark, Blender, Octane and Kobra Vulkan. After analysis of the rendering programs and comparison with non-rendering programs and the real-world workloads, the key findings of our conclusion are as following: (1) The instruction mix of CPU rendering programs is totally different from that of MiBench, especially at the aspect of arithmetic operation, memory read, memory write and control flow. (2) The instruction-level parallel interval of the CPU rendering program is mainly concentrated from 3 to 6. (3) There is comparable instruction frequency among GPU rendering, Octane, Kobra vulkan and non-rendering programs. (4) The average total instruction count of GPU rendering programs is 355 times more than that of non-rendering programs. (5) The portion of floating point of GPU rendering programs, B

关键词： Time-frequency analysis Graphics processing units Mixed reality Parallel processing Benchmark testing Rendering (computer graphics) Real-time systems Registers Optimization Software engineering

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IoT Device Attacks, Security and Certification 7

IoT Device Attacks, Security and Certification

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7th International Conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Keshary, Shivom Venkatesan, Karthika Padmapritha, T. Srinivasan, Seshadhri Seshadhri, Subathra Kalasalingam Academy of Research and Education Dept. of ICE Srivilliputhur India Centre for Development of Advanced Computing Bangalore India TVS-Sensing Solutions Pvt. Ltd. TVS-SS Research Center Madurai India

ISBN: (纸本)9798350372816

Securing devices used in the Internet of Things (IoT) applications is a challenging task. This paper provides a succinct review of the challenges in securing the Internet of Things (IoT) devices, types of attacks, software tools for studying IoT security, and existing guidelines to design IoT systems. Main contribution is the focus shift from architecture to devices and propose technological developments that are required for securing the IoT devices. Further, the investigation also studies standards and certifying procedures currently in vogue and proposes future directions to research. The paper also summarizes existing testing methods and technologies that will impact device certification in the future. © 2024 IEEE.

关键词： Cyber attacks

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Detection Of Malignant Cancerous Nuclei Using Quantum Hadamard Edge Detection Algorithm 7

Detection Of Malignant Cancerous Nuclei Using Quantum Hadama...

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7th IEEE Pune Section International Conference, PuneCon 2024

作者： Shahapure, Arsheyee Gupta, Rajat Bhole, Prathamesh Losu, Vethonulu Kulkarni, Madhura Banerjee, Anindita MIT-WPU Dept. of Computer Science Pune India Centre for Development of Advanced Computing Maharashtra Pune411008 India Centre for Translational Cancer Research Prashanti Cancer Care Mission & Iiser Maharashtra Pune India

ISBN: (纸本)9798331527822

Cancer is a hazardous ailment, becoming even more ominous due to its capacity to remain unnoticed. The significance of cancer research lies in its role in enhancing both the detection and treatment of this disease, ultimately leading to improved quality of life for affected individuals. The process of edge detection assumes a pivotal role in image processing, as it aids in the identification of object boundaries within images. In recent years, quantum computing has garnered substantial attention for its potential to address complex problems more efficiently than classical computers. In this work, we employed edge-detection technique to annotate images related to breast cancer. We have attempted the portion of cancerous nuclei in one biopsy data sample with several malignant nuclei and validated these findings through manual examination. We have used Quantum Hadamard Edge Detection Algorithm (QHED) to identify the nuclei edges. We implemented the algorithm on quantum simulator platforms ie qiskit and Amazon Web Services (AWS). We present the results from implementation on 4 qubits in AWS simulators i.e. State Vector (SV) Simulator and Density Matrix (DM) Simulator. In qiskit implementation, the algorithm was implemented on 4096 x 4096 pixels of biopsy image, that required 24 qubits in the qiskit platform when performing on a CPU. Further, the research presented herein compares the outcomes of Canny edge detection and the results achieved through quantum edge detection from real data and we observe that the results from the quantum approach are at par with the results obtained from the classical approach. © 2024 IEEE.

关键词： Qubits

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Robust Networked Control Adopting Prediction-Compensation Mechanism for IoT-Based Building Field-Level Control Concerning Network Uncertainties

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IEEE Internet of Things Journal 2025年第11期12卷 15818-15827页

作者： Li, Xinyue Li, Hangxin Cao, Jiannong Wang, Shengwei The Hong Kong Polytechnic University Dept. of Bldg. Environ. and Ener. Eng. and Research Institute for Sustainable Urban Development Hong Kong Hong Kong The Hong Kong Polytechnic University Department of Building Environment and Energy Engineering Hong Kong Hong Kong The Hong Kong Polytechnic University Department of Computing Hong Kong Hong Kong The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen China

Internet of Things (IoT) technologies offer great potential benefits to the development of smart buildings. However, the functionalities of IoT applications in buildings, especially those involving time-critical control tasks, are still limited due to the strict real-Time and reliability requirements. These tasks could be easily affected by network uncertainties in the IoT environment. Current optimization methods aimed at mitigating network impacts have limitations in their applications and often overlook the impacts in real engineering cases. This study, therefore, proposes a robust networked control adopting the prediction-compensation mechanism to improve the robustness of building field-level controls implemented in the IoT-enabled building automation system. The control mainly consists of a predictor to estimate the controlled variable, and a compensator to evaluate the uncertainties. To assess the performance and the improvement on control robustness, a typical time-critical building field-level control task is implemented in a networked building field-level control simulation platform, considering network uncertainties. The proposed robust control is adopted for implementing the control task. The results show that the proposed robust networked control is a promising option due to its significant improvement in the control robustness when affected by network constraints, especially in critical conditions of the control process. © 2014 IEEE.

关键词： Networked control systems

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Design and development of an IoT learning system for health-related applications 8

Design and development of an IoT learning system for health-...

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8th International Conference on Smart and Sustainable Technologies, SpliTech 2023

作者： Medojević, Milovan Vasiljević-Toskić, Marko Ćulibrk, Dubravko Šolić, Petar Perković, Toni Medojević, Milana The Institute for Artificial Intelligence Research and Development of Serbia Ivi Novi Sad Serbia EnergyPulse Doo Novi Sad Serbia University of Novi Sad Uns Dept. of Power Electronics and Telecommunication Engineering Novi Sad Serbia University of Novi Sad Uns Dept. of Industrial Engineering and Engineering Management Novi Sad Serbia University of Split Fesb Dept. of Electronics and Computing Split Croatia

ISBN: (纸本)9789532901283

This paper provides relevant outcomes regarding the design and development of an IoT learning system, aimed to stimulate learning by doing while offering IoT deployment in medical science and related practices toward health monitoring and diagnostics. The system is conceptualized as a through-hole module integration board that enables data acquisition regarding body temperature, heart rate, and the saturation of oxygen in the blood, accompanied by psychrometric parameters of the environment in which the measurement is performed. The paper provides an overview in terms of favoring the development of digital technologies curriculums due to the importance and influences it might have on future experts. Last but not least, technical specifications, schematics, and overall system appearance are enclosed in detail. Finally, possible applications in process engineering and thermo-energetics are discussed as well. © 2023 University of Split, FESB.

关键词： Learning systems

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Analytical Study of the Features and Parameters of Off-Angle Iris Image vs. Deep Learning Model

Analytical Study of the Features and Parameters of Off-Angle...

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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Suleiman, Aghiad Khedr Shafek, Darin Mahfuri, Mahmoud Khishe, Mohammad Saeed, Ali Ghwanmeh, Sameh Alma'Moon University College Cybersecurity and Cloud Computing Technologies Engineering Dept. Baghdad Iraq Alma'Moon University College Computer Engineering Techniques Dept. Baghdad Iraq International University for Science and Technology Computer and Information Technology Department Syria Innovation Center for Artificial Intelligence Applications Yuan Ze University Taiwan Jadara Research Center Jadara University Jordan Jordan Computer Center Northern Technical University Ninevah Iraq College of Computer Information Technology Computer Science Dept American University in the Emirates United Arab Emirates

ISBN: (纸本)9798350369106

This paper presents an analytical study and a technique for extracting the features of a common case of images of the iris called off-angle iris which was taken for persons identification systems. The main problem when using biological iris measurements to identify the persons is the difficulty of identifying and extracting features of the iris. This problem is increasing when dealing with off-angle iris and it leads to decreased system accuracy and increased system rate error. In return, all the transfer learning techniques face difficulties in the case of heavily degraded data and partially occluded, and off-angle. A new method has a whole new methodology to deal with the image as it is without transformation processes. A new algorithm has been included for extracting features of the iris through the pupil switching points. The most discriminating points of the iris depend on the biological human eye statistics and analytical study. It has been trained and tested on the common images of the off-angle iris database so-called: 'CASIA Iris 1.0'. It has been implemented in the MATLAB environment. The results showed the efficiency of this technique, high precision and more importantly low failed acceptance rate. It emphasized that it is adaptive as well as efficiency improvement of the system. © 2024 IEEE.

关键词： Contrastive Learning

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Message approach for multiuser mode of a client-server application 3

Message approach for multiuser mode of a client-server appli...

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3rd International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2021

作者： Komarov, Ivan I. Blazhenova, Svetlana D. Gavrilov, Alexander A. Zein, Ali N. Borisova, Svetlana V. Osipov, Sergey K. National Research University MPEI Center for Innovative Development Dept. of Computing Machines Systems and Networks Moscow Russia National Research University MPEI Dept. of Computing Machines Systems and Networks Dep.of Innovative Technologies for High-Tech Industries Moscow Russia

ISBN: (纸本)9781728183985

usually when working with data rows in a database, it is necessary to differentiate between the work of different users or to restrict data for other users. However, a problem can arise when multiple users need to access the same data simultaneously. For example, an issue may appear when a user tries to delete a data sample while another user tries to edit it. In this case, data integrity will be violated. To solve this problem, it is necessary to provide a multiuser mode of operation of the client-server application for accessing the database. It can be obtained and organized using the transaction and locking mechanism. However, since there are quite a few different database management systems (DBMS), the proposed approach can differ significantly in the implementation process. Consequently, a different solution is proposed, which is similar to the mechanism of transactions and locks but works differently. © 2021 IEEE.

关键词： Database systems

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IoT Device Attacks, Security and Certification

IoT Device Attacks, Security and Certification

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International Conference on Circuit, Power and computing Technologies (ICCPCT)

作者： Shivom Keshary Karthika Venkatesan T. Padmapritha Seshadhri Srinivasan Subathra Seshadhri Dept. of ICE Kalasalingam Academy of Research and Education Srivilliputhur India Centre for Development of Advanced Computing Bangalore India TVS-SS Research Center TVS-Sensing Solutions Pvt. Ltd. Madurai India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

关键词： Computers Reviews Prevention and mitigation Internet of Things Security Software tools Standards

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Named Entity Recognition for Serbian Legal Documents: Design, Methodology and Dataset development

arXiv

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arXiv 2025年

作者： Kalušev, Vladimir Brkljač, Branko Visual Computing & Perception Group The Institute for Artificial Intelligence Research and Development of Serbia Novi Sad Serbia Dept. of Power Electronic and Telecommunication Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia

Recent advancements in the field of natural language processing (NLP) and especially large language models (LLMs) and their numerous applications have brought research attention to design of different document processing tools and enhancements in the process of document archiving, search and retrieval. Domain of official, legal documents is especially interesting due to vast amount of data generated on the daily basis, as well as the significant community of interested practitioners (lawyers, law offices, administrative workers, state institutions and citizens). Providing efficient ways for automation of everyday work involving legal documents is therefore expected to have significant impact in different fields. In this work we present one LLM based solution for Named Entity Recognition (NER) in the case of legal documents written in Serbian language. It leverages on the pre-trained bidirectional encoder representations from transformers (BERT), which had been carefully adapted to the specific task of identifying and classifying specific data points from textual content. Besides novel dataset development for Serbian language (involving public court rulings), presented system design and applied methodology, the paper also discusses achieved performance metrics and their implications for objective assessment of the proposed solution. Performed cross-validation tests on the created manually labeled dataset with mean F1 score of 0.96 and additional results on the examples of intentionally modified text inputs confirm applicability of the proposed system design and robustness of the developed NER *** Codes 68T10, 68T30, 68T35, 68T50, 91F20 © 2025, CC BY.

关键词： Natural language processing systems

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A Hybrid Approach Towards Data optimization for cloud Based IoT Environment 4

A Hybrid Approach Towards Data optimization for Cloud Based ...

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4th International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2024

作者： Pal, Souvik Jhanjhi, N.Z. Akila, D. Abdullah, Monir Humayun, Memona Kumar, Sandeep Kumar, Rahul Saveetha Institute of Medical & Tech. Sciences Dept. of Management IS Saveetha College of Liberal Arts & Sciences Chennai602105 India Sister Nivedita University Dept. of CS and Engineering Kolkata700156 India School of Computer Science SCS Taylor's University Subang Jaya47500 Malaysia SIMATS Deemed University Saveetha College of Liberal Arts & Sciences Dept. of Computer Applications Chennai602105 India University of Bisha Department of CS and AI College of Computing & IT Bisha67714 Saudi Arabia School of Arts Humanities & Social Sciences University of Roehampton Department of Computing LondonSW15 5PJ United Kingdom India KKR and KSR Institute of Technology and Sciences Division of Research and Development Lovely Professional University Phagwara Andhra Pradesh Guntur144411 India

ISBN: (纸本)9798350353266

An innovative method for data optimization in the Internet of Things (IoT) assister sensing devices is presented in this research. The many elements of the cloud platform with IoT assistance are addressed. A fresh design for IoT-aided sensor networks is introduced to monitor the environment. A Data Optimisation in cloud Internet of Things (DO-CIoT) is proposed in this paper to optimize the data stored in the cloud and presents methods to access the data in end devices. The suggested technique uses a membership function to improve data allocation while considering all node data. The suggested model is assessed regarding performance ratios, reliability percentage, coverage ratios, and sensing error and contrasted with two-stage efficiency enhancement. A mean performance ratio of 89%, reliability of 91%, coverage of 89 © 2024 IEEE.

关键词： cloud platforms

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