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An Energy-Efcient Mobile-Sink Path-Finding Strategy for UAV WSNs

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Computers, Materials & Continua 2021年第6期67卷 3419-3432页

作者： Lyk Yin Tan hock guan goh Soung-Yue Liew Shen Khang Teoh Department of Computer and Communication Technology Faculty of Information and Communication TechnologyUniversiti Tunku Abdul RahmanPerak31900Malaysia

Data collection using a mobile sink in a Wireless Sensor Network(WSN)has received much attention in recent years owing to its potential to reduce the energy consumption of sensor nodes and thus enhancing the lifetime of the ***,a critical issue of this approach is the latency of data to reach the base *** many data collection algorithms have been introduced in the literature to reduce delays in data delivery,their performances are affected by the ight trajectory taken by the mobile sink,which might not be optimized *** paper proposes a new path-nding strategy,called Energy-efciency Path-nding Strategy(EPS)in the Air-Ground Collaborative Wireless Sensor Network(AGCWSN).The proposed approach is able to greatly enhance the efciency of data *** performance of the proposed strategy is simulated and compared with the existing strategies over several *** simulation results show that the mobile sink with EPS can collects data with lower data delivery delay as compared to other existing *** number of data retransmissions between sensor nodes and mobile sink in EPS is also the lowest in EPS among several existing *** data delivery delay is 66%and 120%lower than Rest Center Tractor Scanning(RCTS)and Non-stop Center Tractor Scanning(NCTS)in irregular and grid topology *** data delivery delay is 62%lower than Two Row Scanning(TRS)in grid topology and 120%lower than RkM in irregular *** packet loss of EPS-2 is 1.3%lower than RkM.

关键词： Wireless network mobile sink efcient path data colle

Toward Secure Software-Defined Networks Using Machine Learning: A Review, Research Challenges, and Future Directions

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Computer Systems Science & Engineering 2023年第11期47卷 2201-2217页

作者： Muhammad Waqas Nadeem hock guan goh Yichiet Aun Vasaki Ponnusamy Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanKamparPerakMalaysia Higher Colleges of Technology Fujairah Men’s CampusFujairahUAE

Over the past few years,rapid advancements in the internet and communication technologies have led to increasingly intricate and diverse networking *** a result,greater intelligence is necessary to effectively manage,optimize,and maintain these *** to their distributed nature,machine learning models are challenging to deploy in traditional ***,Software-Defined Networking(SDN)presents an opportunity to integrate intelligence into networks by offering a programmable architecture that separates data and control *** provides a centralized network view and allows for dynamic updates of flow rules and softwarebased traffic *** the programmable nature of SDN makes it easier to deploy machine learning techniques,the centralized control logic also makes it vulnerable to *** address these issues,recent research has focused on developing powerful machine-learning methods for detecting and mitigating attacks in SDN *** paper highlighted the countermeasures for cyberattacks on SDN and how current machine learningbased solutions can overcome these emerging *** also discuss the pros and cons of using machine learning algorithms for detecting and mitigating these ***,we highlighted research issues,gaps,and challenges in developing machine learning-based solutions to secure the SDN controller,to help the research and network community to develop more robust and reliable solutions.

关键词： Botnet attack deep learning distributed denial of service machine learning network security software-defined network

Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review

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Computers, Materials & Continua 2021年第4期67卷 89-105页

作者： Marrium Anam Vasaki a/p Ponnusamy Muzammil Hussain Muhammad Waqas Nadeem Mazhar Javed hock guan goh Sadia Qadeer Department of Computer Science Government College UniversityFaisalabadPakistan Faculty of Information and Communication Technology(FICT) Universiti Tunku Abdul Rahman(UTAR)KamparMalaysia Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahorePakistan Department of Computer Science Lahore Garrison UniversityLahorePakistan

Trabecular bone holds the utmost importance due to its significance regarding early bone *** like osteoporosis greatly affect the structure of the Trabecular bone which results in different outcomes like high risk of *** objective of this paper is to inspect the characteristics of the Trabecular Bone by using the Magnetic Resonance Imaging(MRI)*** characteristics prove to be quite helpful in studying different studies related to Trabecular bone such as *** things that were considered before the selection of the articles for the systematic review were language,research field,and electronic *** those articles written in the English language were selected as it is the most prominent language used in scientific,engineering,computer science,and biomedical *** literature review was conducted on the articles published between 2006 and 2020.A total of 62 research papers out of 1050 papers were extracted which were according to our topic of review after screening abstract and article content for the title and abstract *** findings from those researches were compiled at the end of the result *** systematic literature review presents a comprehensive report on scientific researches and studies that have been done in the medical area concerning trabecular bone.

关键词： Magnetic resonance imaging high resolution trabecular bone(TB) bone structure machine learning

Fusion-Based Machine Learning Architecture for Heart Disease Prediction

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Computers, Materials & Continua 2021年第5期67卷 2481-2496页

作者： Muhammad Waqas Nadeem hock guan goh Muhammad Adnan Khan Muzammil Hussain Muhammad Faheem Mushtaq Vasaki a/p Ponnusamy Faculty of Information and Communication Technology(FICT) Universiti Tunku Abdul Rahman(UTAR)KamparPerak31900Malaysia Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Department of Information Technology Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan

The contemporary evolution in healthcare technologies plays a considerable and signicant role to improve medical services and save human *** disease or cardiovascular disease is the most fatal and complex disease which it is hardly to be detected through our naked eyes,as numerous people have been suffering from this disease *** attacks occur when the ranges of vital signs such as blood pressure,pulse rate,and body temperature exceed their normal *** efcient diagnosis of heart diseases could play a substantial role in the eld of cardiology,while diagnostic time could be *** has been a key challenge for researchers and medical experts to diagnose heart diseases accurately and ***,machine learning-based techniques are used for the diagnosis with higher accuracy,using datasets compiled from former medical patients’*** recent years,numerous studies have been presented in the literature propose machine learning techniques for diagnosing heart ***,the existing techniques have some limitations in terms of their *** this paper,a novel Support Vector Machine(SVM)based architecture for heart disease prediction,empowered with a fuzzy based decision level fusion,is *** SVMbased architecture has improved the accuracy signicantly as compared to existing solutions,where 96.23%accuracy has been achieved.

关键词： Heart disease machine learning support vector machine fuzzy logic fusion cardiovascular

Antenna and Base-Station Diversity for WSN Livestock Monitoring

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Wireless Sensor Network 2009年第5期1卷 383-396页

作者： Konstantinos SASLOGLOU Ian A. GLOVER hock guan goh Kae Hsiang KWONG Michael P. GILROY Christos TACHTATZIS Craig MICHIE Ivan ANDONOVIC 不详

Antenna and base-station diversity have been applied to a wireless sensor network for the monitoring of live-stock. A field trial has been described and the advantage to be gained in a practical environment has been a... 详细信息

关键词： Antenna Diversity Base Station Diversity Animal Monitoring Wireless Sensor Networks Distribution Rayleigh Distribution Fading

Social Engineering Attack Classifications on Social Media Using Deep Learning

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Computers, Materials & Continua 2023年第3期74卷 4917-4931页

作者： Yichiet Aun Ming-Lee Gan Nur Haliza Binti Abdul Wahab goh hock guan Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanPerakMalaysia Faculty of Engineering Universiti Teknologi MalaysiaJohorMalaysia

In defense-in-depth,humans have always been the weakest link in ***,unlike common threats,social engineering poses vulnerabilities not directly quantifiable in penetration *** skilled social engineers trick users into giving up information voluntarily through attacks like phishing and *** Engineering(SE)in social media is structurally similar to regular posts but contains malicious intrinsic meaning within the sentence *** this paper,a novel SE model is trained using a Recurrent Neural Network Long Short Term Memory(RNN-LSTM)to identify well-disguised SE threats in social media *** use a custom dataset crawled from hundreds of corporate and personal Facebook ***,the social engineering attack detection pipeline(SEAD)is designed to filter out social posts with malicious intents using domain ***,each social media post is tokenized into sentences and then analyzed with a sentiment analyzer before being labelled as an anomaly or normal training ***,we train an RNN-LSTM model to detect five types of social engineering attacks that potentially contain signs of information *** experimental result showed that the Social Engineering Attack(SEA)model achieves 0.84 in classification precision and 0.81 in recall compared to the ground truth labeled by network *** experimental results showed that the semantics and linguistics similarities are an effective indicator for early detection of SEA.

关键词： Social engineering attack cybersecurity machine learning(ML) artificial neural network(ANN) random forest classifier decision tree(DT)classifier

Global Pediatric Pulmonology Alliance recommendation to strengthen prevention of pediatric seasonal influenza under COVID-19 pandemic

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World Journal of Pediatrics 2020年第5期16卷 433-437页

作者： Kun-Ling Shen Leyla Namazova-Baranova Yong-Hong Yang Gary Wing Kin Wong Lanny J.Rosenwasser Lance E.Rodewald Anne Eng Neo goh Eitan Kerem Chris O'Callaghan T.Bernard Kinane Basil Elnazir Rina Triasih Rosemary Horne Anne B Chang Jim Buttery Ruth A.Etzel Kazunobu Ouchi Hilary Hoey Varinder Singh Genesis C.Rivera Spencer SLi Yu guan Ling Cao Yue-Jie Zheng Lu-Zhao Feng Wu Zhong Zheng-De Xie Bao-Ping Xu Rong-Jun Lin Gen Lu Qiang Qin Chun-Mei Zhu Su-Yun Qian Gang Liu Cheng-Song Zhao Zhuang Wei Yu-Hong Zhao Global Pediatric Pulmonology Alliance(GPPA)Expert Panel on Infectious Diseases&COVID-19 China National Clinical Research Center of Respiratory Diseases Department of Respiratory Medicine of Beijing Children's HospitalCapital Medical UniversityNational Center for Children's HealthBeijingChina Pediatrics and Child Health Research Institute Central Clinical HospitalRussian Academy of SciencesMoscowRussian Federation Department of Respiratory Shenzhen Children's HospitalShenzhenChina Chinese University of Hong Kong Hong Kong SARChina UMKC School of Medicine Kansas CityMOUSA National Immunization Program Chinese Center for Disease Control and PreventionBeijingChina K Women's and Children's Hospital SingaporeSingapore Department of Pediatrics Hadassah Hebrew University Medical CenterJerusalemIsrael UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital(GOSH)BRC University College LondonLondonUK Massachusetts General Hospital for Children BostonMAUSA Children's Health Ireland and Trinity College Dublin DublinIreland Department of Paediatric Faculty of MedicinePublic Health and NursingUniversitas Gadjah Mada/Dr.Sardjito HospitalYogyakartaIndonesia Monash University MelbourneAustralia Queensland Children's Hospital BrisbaneAustralia Monash Children's Hospital Menzies School of Health ResearchMelbourneAustralia George Washington University WashingtonDCUSA Department of Pediatrics Kawasaki Medical SchoolKurashiki-CityJapan Department of Pediatrics University of Dublin Trinity CollegeDublinIreland Lady Hardinge Medical College and Assoc Kalawati Saran Children's Hospital New DelhiIndia Center for Medical and Allied Health Sciences New Era UniversityQuezon Citythe Philippines Global Pediatric Pulmonology Alliance Hong Kong SARChina Department of Respiratory the Children's Hospital Affiliated to the Capital Institute of PediatricsBeijingChina School of Population Medicine and Public Health Chinese Academy of Medical Sciences/Peking Union Medical CollegeBeijingChina National Engineering Research Center for the Emergency Drug BeijingChina Nati

The World Health Organization(WHO)announced COVID-19 as a global pandemic in March of 2020[1].The COVID-19 pandemic may persist for a long period of *** prevention and control becomes a complex and challenging task,and such efforts should be *** general measures,such as social distancing,face masks,respiratory hygiene and hand sanitization,will bear fruits for decreasing spread of other respiratory illnesses including influenza,the specific prevention through vaccination is a key focus especially in the upcoming winter and spring seasons[2].

关键词： prevention influenza sustained