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Traffic Priority-Aware Medical Data Dissemination Scheme for IoT Based WBASN Healthcare Applications

Computers, Materials & Continua 2022年第6期71卷 4443-4456页

作者： Muhammad Anwar Farhan Masud Rizwan Aslam Butt Sevia Mahdaliza Idrus Mohammad Nazir Ahmad mohd yazid bajuri Department of Computer Science NFC Institute of Engineering and Fertilizer ResearchFaisalabadPakistan Department of Statistics and Computer Science Faculty of Life Sciences Business ManagementUniversity of Veterinary and Animal SciencesLahorePakistan Department of Electronics Engineering NED University of Engineering and TechnologyKarachiPakistan School of Electrical Engineering Universiti Teknologi MalaysiaJohor BahruMalaysia Institute of IR4.0 Universiti Kebangsaan MalaysiaBangiSelangorMalaysia Department of Orthopedics and Traumatology Faculty of MedicineUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia

Wireless Body Area Sensor Network(WBASN)is an automated system for remote health monitoring of *** under umbrella of Internet of Things(IoT)is comprised of small Biomedical Sensor Nodes(BSNs)that can communicate with each other without human *** BSNs can be placed on human body or inside the skin of the patients to regularly monitor their vital *** BSNs generate critical data as it is related to patient’s *** data traffic can be classified as Sensitive Data(SD)and Non-sensitive Data(ND)packets based on the value of vital *** data packets have different priority to *** ND packets may tolerate some delay or packet loss whereas,the SD packets required to be delivered on time with minimized packet loss otherwise it can be life threating to the *** this research,we propose a Traffic Priority-aware Medical Data Dissemination(TPMD2)scheme forWBASN to deliver the data packets according to their priority based on the sensitivity of the *** assessment of the proposed scheme is carried out in various *** simulation results of the TPMD2 scheme indicate a significant improvement in packets delivery,transmission delay and energy efficiency in comparison with the existing schemes.

关键词： WBANS wearable technology priority routing eHealth applications remote health monitoring

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Effect of Direct Statistical Contrast Enhancement Technique on Document Image Binarization

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Computers, Materials & Continua 2022年第2期70卷 3549-3564页

作者： Wan Azani Mustafa Haniza yazid Ahmed Alkhayyat mohd Aminudin Jamlos Hasliza A.Rahim Advanced Computing(AdvCOMP) Centre of ExcellenceUniversiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electrical Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Engineering The Islamic UniversityNajaf54001Iraq

Background:Contrast enhancement plays an important role in the image processing *** correction has performed an adjustment on the darkness or brightness of the input image and increases the quality of the ***:This paper proposed a novel method based on statistical data from the local mean and local standard ***:The proposed method modifies the mean and standard deviation of a neighbourhood at each pixel and divides it into three categories:background,foreground,and problematic(contrast&luminosity)*** results from both visual and objective aspects show that the proposed method can normalize the contrast variation problem effectively compared to Histogram Equalization(HE),Difference of Gaussian(DoG),and Butterworth Homomorphic Filtering(BHF).Seven(7)types of binarization methods were tested on the corrected image and produced a positive and impressive ***:Finally,a comparison in terms of Signal Noise Ratio(SNR),Misclassification Error(ME),F-measure,Peak Signal Noise Ratio(PSNR),Misclassification Penalty Metric(MPM),and Accuracy was *** binarization method shows an incremented result after applying it onto the corrected image compared to the original *** SNR result of our proposed image is 9.350 higher than the three(3)other *** average increment after five(5)types of evaluation are:(Otsu=41.64%,Local Adaptive=7.05%,Niblack=30.28%,Bernsen=25%,Bradley=3.54%,Nick=1.59%,Gradient-Based=14.6%).Conclusion:The results presented in this paper effectively solve the contrast problem and finally produce better quality images.

关键词： Binarization contrast luminosity illumination document image

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Contrast Correction Using Hybrid Statistical Enhancement on Weld Defect Images

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Computers, Materials & Continua 2022年第6期71卷 5327-5342页

作者： Wan Azani Mustafa Haniza yazid Ahmed Alkhayyat mohd Aminudin Jamlos Hasliza ARahim Midhat Nabil Salimi Advanced Computing(AdvCOMP) Centre of ExcellenceUniversiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electrical Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Engineering the Islamic University54001NajafIraq Faculty of Chemical Engineering Technology Universiti Malaysia Perlis(UniMAP)Arau02600PerlisMalaysia

Luminosity and contrast variation problems are among the most challenging tasks in the image processing field,significantly improving image *** is implemented by adjusting the dark or bright intensity to improve the quality of the images and increase the segmentation ***,numerous methods had been proposed to normalise the luminosity and contrast variation.A new approach based on a direct technique using statistical data known as Hybrid Statistical Enhancement(HSE)is presented in this *** method uses themean and standard deviation of a local and global neighbourhood and classified the pixel into three groups;the foreground,border,and problematic region(contrast&luminosity).The datasets,namely weld defect images,were utilised to demonstrate the effectiveness of the HSE *** results from the visual and objective aspects showed that the HSE method could normalise the luminosity and enhance the contrast variation problem *** proposed method was compared to the two(2)populor enhancement methods which is Homomorphic Filter(HF)and Difference of Gaussian(DoG).To prove the HSE effectiveness,a few image quality assessments were presented,and the results were *** HSE method achieved a better result compared to the other methods,which are Signal Noise Ratio(8.920),Standard Deviation(18.588)and Absolute Mean Brightness Error(9.356).In conclusion,implementing the HSE method has produced an effective and efficient result for background correction and quality images improvement.

关键词： Contrast enhancement image statistic weld defect

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An Improved LSTM-PCA Ensemble Classifier for SQL Injection and XSS Attack Detection

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Computer Systems Science & Engineering 2023年第8期46卷 1759-1774页

作者： Deris Stiawan Ali Bardadi Nurul Afifah Lisa Melinda Ahmad Heryanto Tri Wanda Septian mohd yazid Idris Imam Much Ibnu Subroto Lukman Rahmat Budiarto Universitas Sriwijaya Palembang30319Indonesia Universiti Teknologi Malaysia Johor81310Malaysia Universitas Islam Sultan Agung Semarang50112Indonesia Directorat General of Higher Education Research and Technology Jakarta10270Indonesia Albaha University Alaqiq65779-7738Saudi Arabia

The Repository Mahasiswa(RAMA)is a national repository of research reports in the form of final assignments,student projects,theses,dissertations,and research reports of lecturers or researchers that have not yet been published in journals,conferences,or integrated books from the scientific repository of universities and research institutes in *** increasing popularity of the RAMA Repository leads to security issues,including the two most widespread,vulnerable attacks i.e.,Structured Query Language(SQL)injection and cross-site scripting(XSS)*** attacker gaining access to data and performing unauthorized data modifications is extremely *** paper aims to provide an attack detection system for securing the repository portal from the abovementioned *** proposed system combines a Long Short–Term Memory and Principal Component Analysis(LSTM-PCA)model as a *** model can effectively solve the vanishing gradient problem caused by excessive positive *** experiment results show that the proposed system achieves an accuracy of 96.85%using an 80%:20%ratio of training data and testing *** rationale for this best achievement is that the LSTM’s Forget Gate works very well as the PCA supplies only selected features that are significantly relevant to the attacks’*** Forget Gate in LSTM is responsible for deciding which information should be kept for computing the cell state and which one is not relevant and can be *** addition,the LSTM’s Input Gate assists in finding out crucial information and stores specific relevant data in the memory.

关键词： LSTM PCA ensemble classifier SQL injection XSS

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Real traffic-data based evaluation of vehicular traffic environment and state- of-the-art with future issues in location-centric data dissemination for VANETs

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Digital Communications and Networks 2017年第3期3卷 195-210页

作者： Abdul Hafidz Abdul Hanan mohd. yazid Idris Omprakash Kaiwartya Mukesh Prasad Rajiv Ratn Shah Faculty of Computing Universiti Teknologi Malaysia (UTM) 81310 Skudai Johor Malaysia Centre for Artificial Intelligence University of Technology Sydney Australia School of Computing National University of Singapore (NUS) 117417 Republic of Singapore

Extensive investigation has been performed in location-centric or geocast routing protocols for reliable and efficient dissemination of information in Vehicular Adhoc Networks (VANETs). Various location-centric routing protocols have been suggested in literature for road safety ITS applications considering urban and highway traffic environment. This paper characterizes vehicular environments based on real traffic data and investigates the evolution of location-centric data dissemination. The current study is carried out with three main objectives: (i) to analyze the impact of dynamic traffic environment on the design of data dissemination techniques, (ii) to characterize location-centric data dissemination in terms of functional and qualitative behavior of protocols, properties, and strengths and weaknesses, and (iii) to find some future research directions in information dissemination based on location. Vehicular traffic environments have been classified into three categories based on physical characteristics such as speed, inter-vehicular distance, neighborhood stability, traffic volume, etc. Real traffic data is considered to analyze on-road traffic environments based on the measurement of physical parameters and weather conditions. Design issues are identified in incorporating physical parameters and weather conditions into data dissemination. Functional and qualitative characteristics of location-centric techniques are explored considering urban and highway environments. Comparative analysis of location-centric techniques is carried out for both urban and highway environments individually based on some unique and common characteristics of the environments. Finally, some future research directions are identified in the area based on the detailed investigation of traffic environments and location-centric data dissemination techniques.

关键词： location-centric data dissemination Geocast routing Vehicular ad hoc networks Analysis of real traffic data VANETs survey Evolution of geocast routing

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Computerised Development Control and Approval System for City Hall of Kuala Lumpur

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Geo-Spatial Information Science 2004年第1期7卷 39-49页

作者： Ahris Yaakup yazid Abu Bakar mohd Nuruddin Abdul Kadir Susilawati Sulaiman Department of Urbanand Regional Planning Faculty of Built Environment

This paper will discuss the computerised developm en t control and approval system being developed for the Planning and Development C ontrol Department, City Hall of Kuala Lumpur, with stress on the GIS architectur e ... 详细信息

关键词：人工智能 GIS 建筑学市政工程认证体系

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