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5th international conference on computing in engineering and technology, iccet 2020

5th International Conference on Computing in Engineering and...

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5th international conference on computing in engineering and technology, iccet 2020

ISBN: (纸本)9789811548505

the proceedings contain 35 papers. the special focus in this conference is on computing in engineering and technology. the topics include: Dynamic virtual machine provisioning in cloud computing using knowledge-based reduction method;early detection of grape stem borer using IoT;Controlled Privacy-Aware (CPA) protocol for machine-to-machine communication in internet of things;Performance analysis of wireless sensor network (WSN);verification of 32-bit memory using layered testbench with optimum functional coverage and constrained randomization;stochastic model of a sensor node;prevention of replay attack for isolated smart grid;dangers of bias in data-intensive information systems;Performance of routing protocols using mobility models in VANET;Entity-Centric Combined Trust (ECT) algorithm to detect packet dropping attack in vehicular Ad Hoc Networks (VANETs);graph partitioning using heuristic kernighan-lin algorithm for parallel computing;experimenting with reordering model of phrase-based machine translation system for english to Hindi;investigation of imbalanced big data set classification: Clustering minority samples over sampling technique;Blended learning and analysis of factors affecting the Use of ICT in education;automation in hydroponics farming ecosystem;low power, low voltage, low drop-out on-chip voltage regulator;optimized low-energy adaptive clustering hierarchy in wireless sensor network;qoS in vertical handoff for wireless network using hungarian model and data parceling technique;Study of three-way solution for node movement in mobile Ad Hoc Networks (MANETS);ioT capable mechanism for crowd analysis;probability analysis of vehicular traffic at city intersection;automated malware identifier and analyzer;preface;UAV communication in FANETs with metaheuristic techniques;animal repellents from agricultural fields.

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5th international conference on computing in engineering and technology,iccet 2020

5th International Conference on Computing in Engineering and...

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5th international conference on computing in engineering and technology,iccet 2020

ISBN: (纸本)9789811540288

the proceedings contain 43 papers. the special focus in this conference is on computing in engineering and technology. the topics include: Machine learning techniques for homomorphically encrypted data;improving leaf disease detection and localization accuracy using bio-inspired machine learning;identification of medicinal plant using image processing and machine learning;Human gait analysis based on decision tree, random forest and KNN algorithms;adaptive mean filter technique for removal of high density salt and pepper (impulse) noise;a novel approach of image processing to identify type and name of snake;robust and secure lucas sequence-based video watermarking;creating video summary using speeded up robust features;fingerprint-based gender classification by using neural network model;segmentation of characters from degraded Brahmi script images;sentiment analysis of democratic presidential primaries debate tweets using machine learning models;a computational linguistics approach to preserving and promoting natural languages;Comparative analysis of geometric transformation effects for image annotation using various CNN models;prominent feature selection for sequential input by using high dimensional biomedical data set;an enhanced stochastic gradient descent variance reduced ascension optimization algorithm for deep neural networks;threat detection with facial expression and suspicious weapon;IMEXT text summarizer using deep learning;Integrated YOLO based object detection for semantic outdoor natural scene classification;customer feedback through facial expression recognition using deep neural network;implementation of e-health record with biometric authentication;modeling groundwater spring potential of selected geographical area using machine learning algorithms;lane detection and collision prevention system for automated vehicles;preface;singleton wavelet packet matrix.

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Proceedings - 2017 5th international conference on Applied computing and Information technology, 2017 4th international conference on Computational Science/Intelligence and Applied Informatics and 2017 1st international conference on Big Data, Cloud computing, Data Science and engineering, ACIT-CSII-BCD 2017

Proceedings - 2017 5th International Conference on Applied C...

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5th international conference on Applied computing and Information technology, 2017 4th international conference on Computational Science/Intelligence and Applied Informatics and 2017 1st international conference on Big Data, Cloud computing, Data Science and engineering, ACIT-CSII-BCD 2017

ISBN: (纸本)9781538633021

the proceedings contain 44 papers. the topics discussed include: a learning material for physics experiment with high-accuracy using computer vision technique;automatic classification of remarks in werewolf BBS;a rapid incremental frequent pattern mining algorithm for uncertain data;global and local bursts detection in streaming data;two-mode three-way dominance points model for periodic dissimilarity;an intelligent noninvasive taste detection app for watermelons;automated risk identification of CMMI project planning using ontology;and depth recognition in 3D translucent stereoscopic imaging of medical volumes by means of a glasses-free 3d display.

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5th international conference on Advanced computing and Intelligent engineering, ICACIE 2020

5th International Conference on Advanced Computing and Intel...

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5th international conference on Advanced computing and Intelligent engineering, ICACIE 2020

ISBN: (纸本)9789813342989

the proceedings contain 74 papers. the special focus in this conference is on Advanced computing and Intelligent engineering. the topics include: Selection of Best K of K-Nearest Neighbors Classifier for Enhancement of Performance for the Prediction of Diabetes;phishing Website Prediction: A Machine Learning Approach;COVID-19 Sentimental Analysis Using Machine Learning Techniques;multimodal Music Mood Classification Framework for Kokborok Music;forecasting of Daily Demand’s Order Using Gradient Boosting Regressor;improving Impulse Noise Classification Using Ensemble Learning Methods;image Data Preservation with Fractional Sine Transform and Dual Chaotic Sequence;enhancing Deep Learning Capabilities with Genetic Algorithm for Detecting Software Defects;application of Classifier for Breast Cancer Cell Detection;Speaker Recognition Using Noise Robust Features and LSTM-RNN;apriori-Backed Fuzzy Unification and Statistical Inference in Feature Reduction: An Application in Prognosis of Autism in Toddlers;developing a Framework for Generating Hotel Recommendation;rumor Source Identification on Social Networks: A Combined Network Centrality Approach;sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naïve Bayes;real-Time Facial Emotions Analysis in Videos;An Extended Genetic Algorithm-Based Prevention System Against DoS/DDoS Flood Attacks in VoIP Systems;entropy Based Cluster Selection;human Activity Recognition Using Machine Learning: A Review;ensuring Secure Communication from an IoT Edge Device to a Server through IoT Communication Protocols;a QoI Assessment Framework for Participatory Crowdsourcing Systems;Brain Tumor Segmentation Using Random Walks from MRI Images;An Approach to Personalize VMware vSphere Hypervisor (ESXi) Using HPE Image Streamer;A Proposed IoT Architecture for Corals Research Using AI and Robotics.

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7th international conference on computing in engineering and technology, iccet 2022

7th International Conference on Computing in Engineering and...

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7th international conference on computing in engineering and technology, iccet 2022

ISBN: (纸本)9789811927188

the proceedings contain 70 papers presendted at a virtual meeting. the special focus in this conference is on computing in engineering and technology. the topics include: Credit Point Based Voluntary Work Analysis: An Integrated Model Based on Proper Waste Disposal, Fitness Contribution and Social Work Index;empathic Chatbot: Emotional Astuteness for Mental Health Well-Being;Service Placement in Edge computing with AI Based Techniques;state of the Art on Cloud-Information Flow Control;A Smart Energy Optimization and Collision Avoidance Routing Strategy for IoT Systems in the WSN Domain;secure Data Aggregation Model for People Centric Sensing Networks;energy Efficient Routing Protocol for Multisink Wireless Sensor Networks;attention Based Deep Learning Techniques for Question Classification in Question Answering Systems;a Perceptive Node Transposition and Network Reformation in Wireless Sensor Network;A Hybrid RSS/ToA Based Situational Awareness Technique for Indoor Massive MIMO Wireless System;sleeping Node Scheduling Method Based Redundant Node Energy Reduction in Wireless Sensor Networks;cloud computing Based Workload Prediction Using Cluster Machine Learning Approach;spatiotemporal Based Power Control Scheme for D2D Communication in 5G IoT Networks with QoS Constraints;sentiment of Primary Features in Aspect Based Sentiment Analysis of Hindi Reviews;An Optimized Cloud-Based Solution for Small-Scale Non-IT Business Firms: An Experimental Analysis;Cyber-Attack Prevention Based on Modified LVQ in SDN Using Neural Networks;performance Analysis of Scalable Transactions in Distributed Data Store;distributed Data Register technology as the Main Component of Economic Decentralization;securing Blood Distribution Systems Using Blockchain;SelectGoREATech: Selection of Goal-Oriented Requirements Elicitation and Analysis Techniques;preface.

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Research on the Integration of Artificial Intelligence and Signal Processing: A Trend Analysis Based on Bibliometrics 24

Research on the Integration of Artificial Intelligence and S...

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5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Ma, Guoxuan School of Computer Science and Engineering Northeastern University Liaoning Shenyang China

ISBN: (纸本)9798400709999

To understand the recent advancements in the application of artificial intelligence in the field of signal processing, this paper employs VOSviewer and CiteSpace to conduct a quantitive analysis and visualization of relevant literature from 2020 to September *** analyzing the number of publications, citation patterns, and collaboration networks, this study elucidates the primary contributors, core research directions, and the global landscape of scientific collaboration in this *** research findings indicate that the integration of AI and signal processing has not only achieved theoretical breakthroughs but is also widely applied to solve practical problems, such as optimizing medical diagnoses and enhancing communication *** bibliometric visualization analysis, this paper provides a panoramic view of the current state of research in this area and offers targeted predictions and recommendations for future development trends. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Quantization (signal)

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Optimizing acoustic field rendering through heterogeneous computing 5

Optimizing acoustic field rendering through heterogeneous co...

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5th international conference on Signal Processing and Computer Science, SPCS 2024

作者： Sheng, Zhang Zhu, Huiling Hefei University of Technology Hefei China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

the objective of this research is to enhance sound field rendering efficiency using a heterogeneous computing framework. By integrating GPU and CPU resources, we address performance challenges in complex environments and large-scale ray tasks. Evaluations of the NVIDIA RTX A6000 GPU and AMD 9754 CPU led to an ray task allocation mechanism, optimizing resource use and maximizing computational efficiency. Experimental results show that this strategy significantly accelerates sound field rendering, achieving nearly 400 times faster performance than traditional single-core CPU computations. © 2025 SPIE.

关键词： Rendering (computer graphics)

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Zero-correlation Linear Cryptanalysis on Full-round Shadow 24

Zero-correlation Linear Cryptanalysis on Full-round Shadow

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5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Hong, Haonan Li, Wenya Chen, Ziyu Zhang, Kai Information Engineering University Henan Zhengzhou China Laboratory for Advanced Computing and Intelligence Engineering Jiangsu WuXi China

ISBN: (纸本)9798400709999

the rapid development of the Internet of things (IoT) has led to an increasing demand for symmetric ciphers in IoT devices. Shadow is a lightweight block cipher proposed in 2021. In previous research, the security evaluations on Shadow against differential attack, impossible differential cryptanalysis and linear cryptanalysis were proposed. However, the security level on Shadow for zero-correlation linear cryptanalysis is still missing. In this paper, we fill this gap and propose the security evaluation on Shadow against zero-correlation linear cryptanalysis. To make thorough security analysis, two different approaches are adopted to construct zero-correlation linear distinguishers on Shadow. Based on the method of traceable pattern, 128 6-round zero-correlation linear distinguishers are constructed for Shadow-32, and 256 8-round distinguishers for Shadow-64 are constructed with similar approach. Based on the detailed linear property of the round function, 56 and 240 full-round zero-correlation linear distinguishers are constructed for Shadow-32 and Shadow-64 respectively. To validate the correctness of our theoretical analysis, a series of experiments are conducted, which matches our results well. the result in this paper implies Shadow cannot meet the expected security level in terms of zero-correlation linear cryptanalysis. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Ciphertext

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An examination of critical factors influencing consumers' behavior in live streaming e-commerce 24

An examination of critical factors influencing consumers' be...

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5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Chen, Jian Sun, Wenying Zhao, Wenjin School of Software Engineering Chengdu University of Information Technology Sichuan Chengdu China Cox School of Business Southern Methodist University Dallas United States School of Computing and Artificial Intelligence Southwestern University of Finance and Economics Sichuan Chengdu China

ISBN: (纸本)9798400709999

the rapid development of live streaming e-commerce calls for a deeper understanding of the factors influencing consumer *** paper uses web crawling to gather data, combining Latent Dirichlet Allocation (LDA) and word frequency analysis for feature *** regression is applied to validate critical factors influencing consumer behavior in live streaming *** data covers March to September 2023, including 361.68 hours of live streaming, 3, 093, 402 words of anchor speeches, and 4, 095, 309 records of consumer *** critical factors under six dimensions from three perspectives were identified and the combination of three perspectives has a role in influencing consumer *** of critical factors influenced consumer behavior, with the most significant impacts of the anchor's positivity and promotion, the product's delivery service, and the number of bullet screens in the *** paper highlights the combined influence of anchor, product, and scene perspectives on consumer behavior, providing valuable insights for optimization. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Web crawler

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Investigation of the Architecture for A Application Creation Platform Leveraging Modern technology on Smart Campus 24

Investigation of the Architecture for A Application Creation...

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5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Huang, Jie Ma, Kai He, Xiaosong He, Hongjing Institute of Big Data Technology and Application Chongqing Institute of Engineering Chongqing China School of Big Data and Artificial Intelligence Chongqing Institute of Engineering Chongqing China

ISBN: (纸本)9798400709999

Intelligent technologies are driving the development of smart campuses, fostering a dynamic and diverse intelligent ***, the current trend of customizing smart campus solutions often positions campus citizens as mere bystanders or end *** enhance participatory engagement in campus development and increase the autonomy of platform construction, this paper leverages the strengths of big data warehouses, data analytics, the Internet of things (IoT), and cloud computing-specifically their security, concurrency, reliability, redundancy, and scalability-to propose a campus application creation *** platform aims to streamline the software development process, facilitate the publication of software products, and promote functionality sharing and collaborative *** introduce an architectural model comprising four components: the data lake and warehouse layer, the data ferry layer, the resource service layer, and the platform *** internal operational mechanisms of this architecture are discussed from the perspectives of"applications as data, " self-feedback analysis, application evaluation systems, and system *** advantages of the platform are analyzed, along with application cases from both teacher and student *** also explore the platform's significance within the campus context, including its potential to adjust campus functionality, enhance overall innovation capabilities in education, and increase the autonomy of software *** findings suggest that a modern application creation platform can significantly facilitate the self-improvement of smart campus functionalities, thereby further enhancing the intelligence of the campus. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Cloud platforms

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