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Using Informative Score for Instance Selection Strategy in Semi-Supervised Sentiment Classification

Computers, Materials & Continua 2023年第3期74卷 4801-4818页

作者： Vivian Lee Lay Shan Gan Keng Hoon Tan Tien Ping rosni abdullah School of Computer Sciences Universiti Sains MalaysiaPulau Pinang11800Malaysia

Sentiment classification is a useful tool to classify reviews about sentiments and attitudes towards a product or *** studies heavily rely on sentiment classification methods that require fully annotated ***,there is limited labelled text available,making the acquirement process of the fully annotated input costly and ***,semi-supervised methods emerge as they require only partially labelled input but perform comparably to supervised ***,some works reported that the performance of the semi-supervised model degraded after adding unlabelled instances into *** also shows that not all unlabelled instances are equally useful;thus identifying the informative unlabelled instances is beneficial in training a semi-supervised *** achieve this,an informative score is proposed and incorporated into semisupervised sentiment *** evaluation is performed on a semisupervised method without an informative score and with an informative *** using the informative score in the instance selection strategy to identify informative unlabelled instances,semi-supervised models perform better compared to models that do not incorporate informative scores into their *** the performance of semi-supervised models incorporated with an informative score is not able to surpass the supervised models,the results are still found promising as the differences in performance are subtle with a small difference of 2%to 5%,but the number of labelled instances used is greatly reduced from100%to 40%.The best finding of the proposed instance selection strategy is achieved when incorporating an informative score with a baseline confidence score at a 0.5:0.5 ratio using only 40%labelled data.

关键词： Document-level sentiment classification semi-supervised learning instance selection informative score

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Cloud Data Center Selection Using a Modified Differential Evolution

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Computers, Materials & Continua 2021年第12期69卷 3179-3204页

作者： Yousef Sanjalawe Mohammed Anbar Salam Al-E’mari rosni abdullah Iznan Hasbullah Mohammed Aladaileh National Advanced IPv6 Center(NAv6) Universiti Sains Malaysia11800 USMPenangMalaysia Computer Science Department PY CollageNorthern Border University(NBU)9280 NBUAr’arKingdom of Saudi Arabia

The interest in selecting an appropriate cloud data center is exponentially increasing due to the popularity and continuous growth of the cloud computing *** data center selection challenges are compounded by ever-increasing users’requests and the number of data centers required to execute these *** service broker policy defines cloud data center’s selection,which is a case of an NP-hard problem that needs a precise solution for an efficient and superior *** evolution algorithm is a metaheuristic algorithm characterized by its speed and robustness,and it is well suited for selecting an appropriate cloud data *** paper presents a modified differential evolution algorithm-based cloud service broker policy for the most appropriate data center selection in the cloud computing *** differential evolution algorithm is modified using the proposed new mutation technique ensuring enhanced performance and providing an appropriate selection of data *** proposed policy’s superiority in selecting the most suitable data center is evaluated using the CloudAnalyst *** results are compared with the state-of-arts cloud service broker policies.

关键词： Cloud computing data center data center selection cloud service broker differential evolution user request

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Feature Selection for Detecting ICMPv6-Based DDoS Attacks Using Binary Flower Pollination Algorithm

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Computer Systems Science & Engineering 2023年第10期47卷 553-574页

作者： Adnan Hasan Bdair Aighuraibawi Selvakumar Manickam rosni abdullah Zaid Abdi Alkareem Alyasseri Ayman Khallel Dilovan Asaad Zebari Hussam Mohammed Jasim Mazin Mohammed Abed Zainb Hussein Arif National Advanced IPv6 Centre(NAv6) Universiti Sains MalaysiaPenang11800Malaysia Baghdad College of Economic Sciences University BaghdadIraq School of Computer Sciences Universiti Sains MalaysPenang11800Malaysia Information Technology Research and Development Center University of KufaNajafIraq College of Engineering University of Warith Al-AnbiyaaKarbalaIraq Faculty of Computing and Informatics Universiti Malaysia SabahSabahMalaysia Business Administration College of Administration and Financial SciencesImam Ja’afar Al-Sadiq UniversityBaghdad10001Iraq College of Computer Science and Information Technology University of AnbarRamadi AnbarIraq Department of Computer Science College of ScienceNawroz UniversityDuhok42001Kurdistan RegionIraq

Internet Protocol version 6(IPv6)is the latest version of IP that goal to host 3.4×10^(38)unique IP addresses of devices in the ***6 has introduced new features like Neighbour Discovery Protocol(NDP)and Address Auto-configuration ***6 needed several protocols like the Address Auto-configuration Scheme and Internet Control Message Protocol(ICMPv6).IPv6 is vulnerable to numerous attacks like Denial of Service(DoS)and Distributed Denial of Service(DDoS)which is one of the most dangerous attacks executed through ICMPv6 messages that impose security and financial ***,an Intrusion Detection System(IDS)is a monitoring system of the security of a network that detects suspicious activities and deals with amassive amount of data comprised of repetitive and inappropriate features which affect the detection rate.A feature selection(FS)technique helps to reduce the computation time and complexity by selecting the optimum subset of *** paper proposes a method for detecting DDoS flooding attacks(FA)based on ICMPv6 messages using a Binary Flower PollinationAlgorithm(BFPA-FA).The proposed method(BFPA-FA)employs FS technology with a support vector machine(SVM)to identify the most relevant,influential ***,The ICMPv6-DDoS dataset was used to demonstrate the effectiveness of the proposed method through different attack *** results show that the proposed method BFPAFA achieved the best accuracy rate(97.96%)for the ICMPv6 DDoS detection with a reduced number of features(9)to half the total(19)*** proven proposed method BFPA-FAis effective in the ICMPv6 DDoS attacks via IDS.

关键词： IPv6 ICMPv6 DDoS feature selection flower pollination algorithm anomaly detection

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Analysis of Variables of Vessel Calls in a Container Terminal

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Open Journal of Marine Science 2014年第4期4卷 279-285页

作者： Keng Bin Loke Mohamad rosni Othman Abdul Hamid Saharuddin Mohd Naim Fadzil School of Maritime Business and Management Universiti Malaysia Terengganu Kuala Terengganu Malaysia

The handling efficiency of container terminal may be affected by variables of vessel calls, loading and discharge of container in the terminal. Some of the previous studies indicated that the performance of ship operation would be affected by variables of vessel calls, such as ship size, container loaded and container discharged would affect the handling rate of ship operation, but it didn’t clarify on the degree of relationship and lack of variable container shifted/restowed. Therefore, this study would further study on the softcoming, to analyse the relationship between variables of vessel calls with berth turnaround time, that affected the ship operation’s performance. Extensive observation and survey activities were conducted at Malaysian’s Port and the collected data was based on ship operation delay parameters;like berth turnaround time, total move, total discharge, total load, shift/restow, and length overall of vessels. The initial result showed that total move, total discharge and total load had high correlation with berth turnaround time. The r-value of total move, total discharge and total load are 0.877, 0.716 and 0.804 respectively. Therefore, this study concluded that the berth turnaround time is highly affected by total move, total discharge and total load. Consequently, the research output would be as a decision making tool to port planner.

关键词： Berth Turnaround Time Total Move Total Discharge Total Load Length Overall of Vessel

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Marginal Expansion Planning of Infrastructure at a Container Terminal

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Open Journal of Marine Science 2015年第1期5卷 99-107页

作者： Keng Bin Loke Ab. Saman Abd. Kader Mohd. Zamani Ahmad Saharuddin Abdul Hamid Mohamad rosni Othman School of Maritime Business and Management Universiti Malaysia Terengganu Terengganu Malaysia Faculty of Mechanical Engineering Universiti Teknologi Malaysia Johor Malaysia

Globalization push container terminal grown rapidly in decade. To fulfill the future traffic requirement, this study highlights marginal expansion planning of infrastructure in a container terminal. By using marginal approach, the expansion plan can be determine correctly and economically stage by stage. A mathematical model has generated to calculate the expansion size, expansion time, interval of expansion, expansion cost, and significant of expansion for each infrastructure respectively. It recommended determining the expansion plan for each infrastructure respectively. This is because one of the infrastructures needs to be expanding but the other may not. The generated model was verified with others model and validated with case study to investigate the practicability of the model. The model serves as expansion decision making tools to assist port expansion planners.

关键词： Infrastructure Marginal Approach Expansion Plan Mathematical Model Expansion Size Expansion Time

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