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检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

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Design and research of one-stop system of rural public service governance based on Big data technology 8

Design and research of one-stop system of rural public servi...

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8th international conference on Information systems engineering, ICISE 2023

作者： Zhang, Bo Zhang, Zhiqin Wuhan Donghu University School of Computer Science Wuhan430000 China

ISBN: (纸本)9798350307009

As an important content of rural governance, the modernization of rural public service governance is the need to complement the weaknesses of rural basic public service and improve the quality of public service. It is also an important basis for ensuring and improving people's livelihood and realizing rural revitalization. After clarifying the key governance objects and supply list of rural public services, the intelligent and digital construction of rural public service governance is well promoted, and the multi-subject collaborative governance of rural public service governance is realized. In this paper, an optimized Apriori algorithm is proposed for the massive data generated by the existing rural public service governance "one-stop"system. the optimized Apriori algorithm solves the problem that the efficiency of massive data mining in the system is not affected by the growth of massive data volume. the performance of the improved algorithm becomes more prominent when the support degree is less, and the advantages become more obvious. © 2023 ieee.

关键词： Big data

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Blockchain-based Privacy-Preserving System for Internet of things (IoT) 8

Blockchain-based Privacy-Preserving System for Internet of T...

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8th international conference on Communication and Electronics systems, ICCES 2023

作者： Ravi, C.N. Dinesh Krishnan, S. Kaliyaperumal, Manikannan Kumar, Sumita Ram Prasad, A.V.S. Suma Christal Mary, S. Cmr Engineering College Computer Science & Engineering Department Telangana Hyderabad India B v Raju Institute of Technology Department of Computer Science & Engineering Narsapur India R.M.K Engineering College Computer Science & Engineering R.S.M Nagar 601 206 India Bharati Vidyapeeth Deemed to Be University Computer Science & Engineering Department of Engineering and Technologies kharghar Navi Mumbai India Koneru Lakshmaiah Education Foundation Department of Mechanical Engineering Guntur522502 India Panimalar Engineering College Department of Information Technology Poonamalle Tamil Nadu Chennai India

ISBN: (纸本)9798350396638

the shortcomings of conventional healthcare systems are becoming more apparent as the Internet of things (IoT) becomes ever more pervasive in people's daily lives. the standard procedure for dealing with confidential data frequently results in unwanted public disclosure. Blockchain's agreements make it possible to automate the safe transfer of patient data based on their individual authorization settings. To create a completely untraceable trading platform, blockchain technology is frequently implemented. To protect user data in the Internet of things (IoT), a privacy-protecting protocol is developed using the blockchain. It is important to consider that the rogue cloud server might potentially develop a database of user behaviour profiles, which could be a serious breach of privacy. Confidentiality makes it more difficult to resolve disagreements about private data exchange transactions. When users of metadata are falsely accused, their rights are difficult to defend. Also, smart contracts are used to enforce security protocols and data privacy for multisharing adaptable access control. there is no reason to doubt the safety of the proposed work. the proposed work is efficient and applicable, as demonstrated by the efficiency evaluation and experimental findings. © 2023 ieee.

关键词： Internet of things

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Increasing Source Privacy and Network Lifetime without Affecting Latency: A Strategic Random Walk for WSNs∗ 8

Increasing Source Privacy and Network Lifetime without Affec...

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8th international conference on computer and Communication systems, ICCCS 2023

作者： Mukamanzi, Florence Raja, Manjula Datta, Raja Koduru, Tejodbhav Hanyurwimfura, Damien University of Rwanda ACE-IoT Kigali Rwanda SRM University AP Computer Science and Engineering Amaravathi India Indian Institute of Technology Kharagpur Electronics and Electrical Communication Engineering Kharagpur India

ISBN: (纸本)9781665456128

Remote monitoring in wireless sensor networks (WSNs) requires enhanced privacy and long-term monitoring of objects or events without escalating delay. To address this problem, a strategic random walk routing for protecting source location privacy (SRWSLP) in wireless sensor networks (WSNs) is proposed in this article. the proposed technique routes the packets from the source node to the base station (BS) using three phases of routing, namely: i) adaptive backward random walk (A-BRW), ii) adaptive equal depth routing (A-EDR), and iii) forward random walk (FRW). In order to give an impression to a backtracking attacker that the routing pathways are dynamic, the A-BRW and A-EDR phases are designed to carefully route the packets away from the source node in the first two phases of routing. In the third phase, the packets are sent to the base station (BS) using the forward random walk. the objective of the solution is to achieve improved privacy and network lifetime without affecting delay. Simulation results have demonstrated that the proposed technique performs better than the existing random walk class of SLP techniques. © 2023 ieee.

关键词： Base stations

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Noise Cancellation by Fast Fourier Transform for Wav2Vec2.0 based Speech-to-Text System 8

Noise Cancellation by Fast Fourier Transform for Wav2Vec2.0 ...

引用

8th ieee international conference for Convergence in Technology, I2CT 2023

作者： Gupta, Surya Prakash Spoorthy, V. Koolagudi, Shashidhar G National Institute of Technology Karnataka Department of Computer Science & Engineering Mangalore Surathkal India

ISBN: (纸本)9798350334012

Speech-To-Text (STT) systems are a part of the Speech Recognition domain in which speech is given as input, and it generates the transcript. the input speech sometimes disrupts the STT system and generates incorrect transcripts because of background noise. In this work, we have discussed a Fast Fourier Transform (FFT) based noise cancellation method for Hindi words with background noise and performed speech to text conversion using a fine-tuned and pre-trained Wav2Vec2.0 model. the background noise added to the audio samples is Gaussian white noise with three different intensity levels, 0.01, 0.03, and 0.05 units, indicated by the Gaussian distribution's standard deviation (STD). the model has been trained on the OpenSLR Hindi dataset. the proposed system is evaluated by the metric Character Error Rate (CER). the testing of the model is done using 20 Hindi words in both clean and noisy conditions. the results obtained proved that the noise cancellation was found effective in terms of CER, and on first level noise with an STD of 0.01, the CER is better after noise cancellation than its noisy counterpart. © 2023 ieee.

关键词： Fast Fourier transforms

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A Robust Hybrid Cryptosystem based on DNA Steganography 8

A Robust Hybrid Cryptosystem based on DNA Steganography

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8th international conference on Communication and Electronics systems, ICCES 2023

作者： Chakraborty, Debadrita Bhowmik, Bishal Bhowmik, Susmita Debbarma, Pankaj Tripura Institute of Technology Computer Science and Engineering Department Tripura Agartala India

ISBN: (纸本)9798350396638

Cryptography is a major concern in the field of computer networks and security of data. By encoding a plain message using cryptographic algorithms, cryptography converts a plain message into an unintelligible format for humans. the advancement in cryptographic algorithm is a fundamental issue for data transmission in today's world. the field of deoxyribonucleic acid (DNA) based cryptography offers the possibility of resolving the issue efficiently. the work presents an innovative technique of data encoding using DNA sequence. In the proposed DNA steganography technique, the data is encoded to facilitate in hiding a secret message on a sequence of DNA strand using its bases, namely, adenine (A), guanine (G), cytosine (C) or thymine (T), very easily. this algorithm introduces two rounds of encryption within the DNA sequence. the plain text is converted to ASCII (American Standard Code for Information Interchange) code, which is a 7-bit character code with each individual bit representing a unique character. the proposed technique has been tested using random user input and found to give an index of coincidence (IC) value of 0.28, approximately. © 2023 ieee.

关键词： Cryptography

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Optimal combination of photovoltaic systems and wind generators in the power network 8

Optimal combination of photovoltaic systems and wind generat...

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8th international conference on Mathematics and computers in Sciences and Industry, MCSI 2023

作者： Fotopoulou, Maria Tsekouras, George Kontargyri, Vassiliki Rakopoulos, Dimitrios Chemical Process and Energy Resources Institute Centre for Research and Technology Hellas Athens Greece University of West Attica Department of Electrical and Electronics Engineering Athens Greece National Technical University of Athens School of Electrical and Computer Engineering Athens Greece

ISBN: (纸本)9798350341652

the current energy transition has affected the design and operation of power networks, which need to incorporate Renewable Energy Sources (RES) to reduce their environmental footprint. More specifically, depending on the region, power networks need to meet certain target values related to RES penetration. In this context, Photovoltaic (PV) systems and Wind Generators (WG) seem to be two of the most widespread solutions. Nevertheless, their production is stochastic, which often leads to a mismatch with the demand resulting in either the need for storage systems or curtailments. the purpose of this research is to present an algorithm for the selection of the optimal combination of PV systems and WGs in power networks to meet the renewable energy targets and avoid or minimize the need for storage or curtailments. the core of the algorithm is a Nonlinear Programming (NLP) optimizer. the algorithm is applied on a power network in Slovenia and showcases the optimal combination of PVs and WGs to achieve 40% RES penetration (i.e., the European Union target for 2030), which is equal to 12.44 MW and 16.78 MW of installed power, respectively. © 2023 ieee.

关键词： Nonlinear programming

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Detecting Tabnabbing Attacks Via An RL-Based Agent 8

Detecting Tabnabbing Attacks Via An RL-Based Agent

引用

8th international conference on Information Technology Research, ICITR 2023

作者： Fonseka, Ashani Pashenna, Pamali Ariyadasa, Subhash N. Uva Wellassa University of Sri Lanka Department of Computer Science and Informatics Badulla Sri Lanka

ISBN: (纸本)9798350359503

Tabnabbing attacks exploit user behavior in web browsers, deceiving users by altering content in inactive tabs to appear legitimate, leading to data disclosure or unintended actions. this research evaluates the effectiveness of Reinforcement Learning (RL) in detecting Tabnabbing attacks at the web browser level, presenting a proactive defense mechanism against this cyber threat. the study began with a literature review to find the top 5 critical features of Tabnabbing attacks and were extracted using a publicly available dataset from 'Phishpedia'. Data preprocessing is conducted to handle missing and incorrect data, resulting in a refined dataset. the RL agent is designed using the Deep Q-Network (DQN) algorithm, which effectively handles high-dimensional state spaces. the evaluation of the RL agent demonstrates promising results. However, there is room for improvement requiring further research and model tuning. © 2023 ieee.

关键词： Web browsers

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Application of Pose Estimation on Webcam for Fall Risk Assessment 8

Application of Pose Estimation on Webcam for Fall Risk Asses...

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Joint 8th international conference on Digital Arts, Media and Technology and 6th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2023

作者： Uttama, Surapong Chumpoo, Patsakorn Rueangsirarak, Worasak Center of Excellence in Artificial Intelligence and Emerging Technologies School of Information Technology Mae Fah Luang University Chiang Rai Thailand School of Information Computer Science Program Technology Mae Fah Luang University Chiang Rai Thailand School of Information Technology Computer and Communication Engineering for Capacity Building Mae Fah Luang University Chiang Rai Thailand

ISBN: (纸本)9798350396546

Fall risk assessment is an effective and simple measure to evaluate the balance of people especially the elderly who are likely to have balance disorder. Lose of body balance increases a fall risk which could lead to severe damage to aging persons. In this paper, we propose to apply pose estimation technique based on PoseNet method to detect body joints from webcam's video for two types of fall risk assessment: Five Times Sit to Stand Test (FTSTS) and 30-Second Chair Stand Test (30CST). the experiments were performed with 17 volunteers concurrently with the measures of a healthcare expert. the results revealed that our proposed technique corresponds well with the measure of the expert evaluating by a Pearson correlation coefficient which equals to 0.903 and 0.980 for FTSTS and 30CST respectively. © 2023 ieee.

关键词： Risk assessment

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Application of the Simplified Aquila Optimizer with the Multiple Updating Principle in Unmanned Aerial Vehicle Path Planning 8

Application of the Simplified Aquila Optimizer with the Mult...

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8th international conference on computer and Communication systems, ICCCS 2023

作者： Zhao, Juan Liu, Yuan-Man Gao, Zheng-Ming School of Computer Engineering Insititue of Intelligent Computing Technology Jingchu University of Technology China School of Mechanical Engineering Jingchu University of Technology China Institute of Intelligent Computing Technology Hubei Engineering Research Center for Specialty Flowers Biological Breeding Schol of Computer Engineering Jingchu University of Technology China

ISBN: (纸本)9781665456128

the unmanned aerial vehicle (UAV) had been popular around the world and the peasant began to use UAVs to transport bags of crop, spray pesticides or herbicides manually causing the uncertainty and difficulty in path planning. Inspired by the simplified form of expressions and better performance of the Aquila optimizer (AO), a simplified AO with multiple updating principle (SAOMUP) was proposed to improve the capability of the AO algorithm and applied in UAV path planning in this paper. Simulation experiments were carried out to test and verify the capability of the proposed algorithm. And finally, the SAOMUP was applied in UAV path planning for transportation over some mountain field with trees or stones being simulated by cylinders, and better results were achieved. © 2023 ieee.

关键词： Unmanned aerial vehicles (UAV)

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A novel Recommendation Algorithm Based on Knowledge Graph Convolution Networks and LDA 8

A novel Recommendation Algorithm Based on Knowledge Graph Co...

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8th international conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2023

作者： Chen, Liqiong Xu, Zhengyu Shanghai Institute of Technology Department of Computer Science and Information Engineering Shanghai China

ISBN: (纸本)9798350369564

Recommender systems exist with the aim of helping users discover personalized and useful content and products in a sea of information. Recommender systems have long faced challenges such as data sparsity and cold start. In this study, we propose a recommendation model based on Knowledge Graph Convolutional Network and LDA (KGCN-LDA), which first constructs a collaborative knowledge graph, and deep mines the auxiliary entity information in the collaborative knowledge graph using graph convolutional network(GCN). In the knowledge graph, GCN is used to deep mine the auxiliary entity information in the collaborative knowledge graph, while LDA mines the potential features in the semantic information, and finally, the user and entry embeddings obtained from the two parts are concatenated to generate the final recommendation results. In order to evaluate the effectiveness of the proposed model, we conducted experiments on a public dataset, and the results show that the proposed method significantly outperforms several existing methods in terms of precision, recall and F1. © 2023 ieee.

关键词： Recommender systems

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