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6th International Conference on Machine Learning and Cybernetics, ICMLC 2007

作者： Fang, Yuan Liu, Yang Ge, Yu College of Mathematics and Computer Science Hebei University Baoding Hebei 071002 China College of Information Science and Engineering Northeastern University Shenyang 110004 China

ISBN: (纸本)142440973X

With the rapid development of WWW, text classification has become the key technology in organizing and processing large amount of text data. As a simple, effective and nonparametric classification method, k-NN method is widely used in text classification. But k-NN clasifier not only has large computational demands, but also may decrease the precision of classification because of uneven density of training data. In this paper, a new density-based method for reducing the amount of training data is presented, which not only reduces the computational demands of k-NN classifier, but also improves the classification precision. The experiments show that the new method has better performance than the traditional k-NN method. ©2007 IEEE.

关键词： Text processing

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A Miniaturized Dual U-shaped Patch Antenna for WiFi-6E Applications 13

A Miniaturized Dual U-shaped Patch Antenna for WiFi-6E Appli...

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13th International Conference on Communication and Network Security, ICCNS 2023

作者： Gu, Wenzhe Feng, Botao Luo, Yiyuan Zheng, Jianchao Lu, Yun School of Computer Science and Engineering Huizhou University Huizhou China College of Electronics and Information Engineering Shenzhen University Shenzhen China

ISBN: (纸本)9798400707964

A miniaturized dual U-shaped patch antenna for WiFi-6E applications is designed and fabricated, with a size of 21.5×10×1.0 mm3. The antenna adopts a pair of U-shaped patches to minimize the length of the oscillator, which can be understood as the combination of two symmetrical variant dipole. One U-shaped patch serves as the feed source and the other serves as the ground plane. Furthermore, a slot is etched in the U-shaped oscillator, and the SMA connector is set into the inner of the slot for size reduction. Simulation and actual measurement results indicate that, the antenna works at 4.9-7.2 GHz (|S11| © 2023 ACM.

关键词： Microstrip antennas

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Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks

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computer Systems science & engineering 2023年第1期44卷 845-858页

作者： Muhammad Shahzeb Ali Ali Alqahtani Ansar Munir Shah Adel Rajab Mahmood Ul Hassan Asadullah Shaikh Khairan Rajab Basit Shahzad Department of Computer Science Institute of Southern PunjabMultan5932Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajran61441Saudi Arabia Department of Engineering National University of Modern LanguagesIslamabad44000Pakistan

Throughout the use of the small battery-operated sensor nodes encou-rage us to develop an energy-efficient routing protocol for wireless sensor networks(WSNs).The development of an energy-efficient routing protocol is a mainly adopted technique to enhance the lifetime of *** routing protocols are available,but the issue is still *** is one of the most important techniques in the existing routing *** the clustering-based model,the important thing is the selection of the cluster *** this paper,we have proposed a scheme that uses the bubble sort algorithm for cluster head selection by considering the remaining energy and the distance of the nodes in each ***,the bubble sort algorithm chose the two nodes with the maximum remaining energy in the cluster and chose a cluster head with a small *** proposed scheme performs hierarchal routing and direct routing with some energy *** simulation will be performed in MATLAB to justify its performance and results and compared with the ECHERP model to justify its ***,the simulations will be performed in two scenarios,gate-way-based and without gateway to achieve more energy-efficient results.

关键词： Bubble sort algorithm gateway energy thresholds wireless sensor networks

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BERT-Based Detection of Sexual Harassment in Dialogues 5

BERT-Based Detection of Sexual Harassment in Dialogues

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5th International Conference on computer science and Artificial Intelligence, CSAI 2021

作者： Yan, Mingrui Luo, Xudong Luo, Xudong Guangxi Key Laboratory of Multi-Source Information Mining and Security College of Computer Science and Information Engineering Guangxi Normal University China

ISBN: (纸本)9781450384155

It tends to become a trend of booking transportation through network equipment with the further integration of the Internet into people's life, and online car-hailing platforms have sprung up. However, a new social crisis has also come with it. Because of the need for platform expansion, most online ride-hailing drivers have not undergone strict professional ethics reviews, which increases the risk of passengers taking the car. Primarily, female users are more susceptible to abuse and harassment and even persecution by drivers due to their disadvantaged position. Unfortunately, this phenomenon is happening every day and even getting worse. Regarding this aspect of supervision, it is difficult for relevant departments to have a more direct management plan. However, it is difficult for relevant departments to give a more natural and effective management plan. Therefore, ensuring the safety of passengers (predominantly female passengers) using online car-hailing becomes particularly important. In the Chinese field, few people try to improve this problem from the perspective of natural language. This work expects to use natural language technology to evaluate the driver's language and determine the degree of potential danger and criminal tendency, thus protecting the passenger and providing evidence for the judicial authorities. We first collected many dialogues between drivers and passengers, then used back translation to expand the corpus. Finally, we adopted various BERT-based model methods to compare and analyze the performance of different variants. © 2021 ACM.

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Electric Vehicles Charging Scheduling Optimization for Total Elapsed Time Minimization 91

Electric Vehicles Charging Scheduling Optimization for Total...

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91st IEEE Vehicular Technology Conference, VTC Spring 2020

作者： Qian, Li Ping Zhou, Xinyue Yu, Ningning Wu, Yuan Zhejiang University of Technology Hangzhou College of Information Engineering Zhejiang China University of Macau Macao Department of Computer and Information Science China

ISBN: (纸本)9781728152073

With the rapid advancement of electric vehicle (EV) technology, EV has been emerging as a promising transportation due to the low carbon emission. However, the frequent and long time charging is indispensable to continue travelling. During peak hours, EVs further spend long time on the path routing because of the traffic congestion and queuing in the charging stations. Therefore, we study the EV charging scheduling problem that minimizes the total elapsed time which includes charging time for EVs through jointly optimizing the charging path routing and charging station selection in this paper. Considering the NP-hardness of this optimization problem, we propose an efficient EV charging scheduling method to obtain the optimal solution based on crowd sensing through considering the remaining energy in the battery, traffic condition, and the queue length of charging stations. Simulation results demonstrate that the proposed backtracking method based on crowd sensing can effectively reduce the total elapsed time, in comparison with the greedy algorithm. © 2020 IEEE.

关键词： Electric vehicles

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AI-Based Intelligent Model to Predict Epidemics Using Machine Learning Technique

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Intelligent Automation & Soft Computing 2023年第4期36卷 1095-1104页

作者： Liaqat Ali Saif E.A.Alnawayseh Mohammed Salahat Taher M.Ghazal Mohsen A.A.Tomh Beenu Mago College of Engineering and Technology University of Science and Technology of FujairahFujairahUAE Electrical Engineering Department Faculty of EngineeringMutah UniversityJordan School of Information Technology Skyline University CollegeUniversity City Sharjah1797UAE Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia43600Malaysia Faculty of Computer Science NCBA&ELahore54660Pakistan School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE

The immediate international spread of severe acute respiratory syn-drome revealed the potential threat of infectious diseases in a closely integrated and interdependent *** an outbreak occurs,each country must have a well-coordinated and preventative plan to address the *** and Communication Technologies have provided innovative approaches to dealing with numerous facets of daily *** intelligent devices and applica-tions have become a vital part of our everyday lives,smart gadgets have also led to several physical and psychological health problems in modern ***,we used an artiﬁcial intelligence AI-based system for disease prediction using an Artiﬁcial Neural Network(ANN).The ANN improved the regularization of the classiﬁcation model,hence increasing its *** unconstrained opti-mization model reduced the classiﬁer’s cost function to obtain the lowest possible *** verify the performance of the intelligent system,we compared the out-comes of the suggested scheme with the results of previously proposed *** proposed intelligent system achieved an accuracy of 0.89,and the miss rate 0.11 was higher than in previously proposed models.

关键词： Intelligent model epidemics artiﬁcial intelligence machine learning techniques

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Selection of Metaheuristic Algorithm to Design Wireless Sensor Network

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Intelligent Automation & Soft Computing 2023年第7期37卷 985-1000页

作者： Rakhshan Zulfiqar Tariq Javed Zain Anwar Ali Eman H.Alkhammash Myriam Hadjouni Hamdard University Karachi75270Pakistan Electronic Engineering Department Sir Syed University of Engineering&TechnologyKarachiPakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer Sciences College of Computer and Information SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

The deployment of sensor nodes is an important aspect in mobile wireless sensor networks for increasing network *** longevity of the networks is mostly determined by the proportion of energy consumed and the sensor nodes’access *** optimal or ideal positioning of sensors improves the portable sensor networks *** and energy usage are mostly determined by successful sensor placement ***-inspired algorithms are the most effective solution for short sensor *** primary objective of work is to conduct a comparative analysis of nature-inspired optimization for wireless sensor networks(WSNs’)maximum network ***,it identifies quantity of installed sensor nodes for the given *** of algorithm has been identified based on value of optimized *** first half of the paper’s literature on nature-inspired algorithms is *** six metaheuristics algorithms(Grey wolf,Ant lion,Dragonfly,Whale,Moth flame,Sine cosine optimizer)are compared for optimal coverage of *** simulation outcomes confirm that whale opti-mization algorithm(WOA)gives optimized Energy with improved network coverage with the least number of *** comparison will be helpful for researchers who will use WSNs in their applications.

关键词： Bio-inspired computing evolutionary computation greedy algorithms wireless sensor network computational intelligence

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A User-friendly Model for Ransomware Analysis Using Sandboxing

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computers, Materials & Continua 2021年第6期67卷 3833-3846页

作者： Akhtar Kamal Morched Derbali Sadeeq Jan Javed Iqbal Bangash Fazal Qudus Khan Houssem Jerbi Rabeh Abbassi Gulzar Ahmad Department of Computer Science&Information Technology National Center for Cyber SecurityUniversity of Engineering&TechnologyPeshawar25120Pakistan Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Institute of Computer Sciences and Information Technology(ICS/IT) University of AgriculturePeshawar25130Pakistan Department of Industrial/Electrical Engineering College of EngineeringUniversity of Ha’ilHail1234Saudi Arabia Department of Electrical Engineering University of Engineering&TechnologyPeshawar25120Pakistan

Ransomware is a type of malicious software that blocks access to a computer by encrypting user’s files until a ransom is paid to the *** have been several reported high-profile ransomware attacks including WannaCry,Petya,and Bad Rabbit resulting in losses of over a billion dollars to various individuals and businesses in the *** analysis of ransomware is often carried out via sandbox environments;however,the initial setup and configuration of such environments is a challenging ***,it is difficult for an ordinary computer user to correctly interpret the complex results presented in the reports generated by such environments and analysis *** this research work,we aim to develop a user-friendly model to understand the taxonomy and analysis of ransomware ***,we aim to present the results of analysis in the form of summarized reports that can easily be understood by an ordinary computer *** model is built on top of the well-known Cuckoo sandbox environment for identification of the ransomware as well as generation of the summarized *** addition,for evaluating the usability and accessibility of our proposed model,we conduct a comprehensive user survey consisting of participants from various fields,e.g.,professional developers from software houses,people from academia(professors,students).Our evaluation results demonstrate a positive feedback of approximately 92%on the usability of our proposed model.

关键词： Ransomware sandbox user-friendly model survey

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On the wireless network curriculum teaching

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2013 International Conference on Applied Mechanics, Materials, and Manufacturing, AMMM 2013

作者： Ma, Jin Jin Jin, Guang Jiang, Xian Liang Huang, Lu Juan He, Xian Mang College of Information Science and Engineering Ningbo University Ningbo China School of Computer Science and Technology Zhejiang University Hangzhou China

ISBN: (纸本)9783037857953

Wireless network technology has developed rapidly and been widely used in different forms, such as Wireless LAN (WLAN), Wireless Sensor Network (WSN) and the 3G Mobile Communications. As one core curriculum of IT major, the computer network curriculum mainly focuses on the wired networks rather than the wireless networks and is hard to meet the needs of IT industry. In this paper, we firstly survey the current teaching of wireless network techniques and then discuss the necessity of the wireless network curriculums. By improving teaching contents and methods, we put forward a novel wireless network teaching mode using simulation tools. © (2013) Trans Tech Publications, Switzerland.

关键词： E-learning

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Data Secure Storage Mechanism of Sensor Networks Based on Blockchain

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computers, Materials & Continua 2020年第12期65卷 2365-2384页

作者： Jin Wang Wencheng Chen Lei Wang R.Simon Sherratt Osama Alfarraj Amr Tolba School of Information Science and Engineering Fujian University of TechnologyFuzhou350118China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410004China School of Civil Engineering Changsha University of Science&TechnologyChangsha410000China Department Biomedical Engineering University of ReadingReadingRG66AYUK Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Mathematics and Computer Science Department Faculty of ScienceMenoufia UniversityShebin-El-Kom32511Egypt

As the number of sensor network application scenarios continues to grow,the security problems inherent in this approach have become obstacles that hinder its wide ***,it has attracted increasing attention from industry and *** blockchain is based on a distributed network and has the characteristics of non-tampering and traceability of block *** is thus naturally able to solve the security problems of the sensor ***,this paper first analyzes the security risks associated with data storage in the sensor networks,then proposes using blockchain technology to ensure that data storage in the sensor networks is *** the traditional blockchain,the data layer uses a Merkle hash tree to store data;however,the Merkle hash tree cannot provide non-member proof,which makes it unable to resist the attacks of malicious nodes in *** solve this problem,this paper utilizes a cryptographic accumulator rather than a Merkle hash tree to provide both member proof and non-member ***,the number of elements in the existing accumulator is limited and unable to meet the blockchain’s expansion *** paper therefore proposes a new type of unbounded accumulator and provides its definition and security ***,this paper constructs an unbounded accumulator scheme using bilinear pairs and analyzes its performance.

关键词： Sensor networks blockchain unbounded accumulator storage mechanism

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