2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC)最新文献_第5页

A Review of Web Classifier Approach with Possible Research Direction to Detect Cyber Extremists 基于Web分类器的网络极端分子检测研究综述

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837077

Hassan Awad Hassan Al-Sukhni, M. Saudi, Azuan Ahmad

{"title":"A Review of Web Classifier Approach with Possible Research Direction to Detect Cyber Extremists","authors":"Hassan Awad Hassan Al-Sukhni, M. Saudi, Azuan Ahmad","doi":"10.1109/ICSGRC.2019.8837077","DOIUrl":"https://doi.org/10.1109/ICSGRC.2019.8837077","url":null,"abstract":"The internet is ever expanding and online information is booming, making identification and detection of different web information vitally important, particularly those of dark web or Cyber extremists. Webpages with extremist and terrorist content are believed to be main factors in the radicalization and recruitment of disaffected individuals who might be involved in terrorist activities at home or those who fight alongside terrorist groups abroad. In fact, the sheer volume of online data makes it practically impossible for authorities to carry out the individual examination for every webpage, post or conversational thread that might or might not be relevant to terrorism or contain terrorist sympathies. As terrorists exist within every nation and every religion, hence this paper presents a review and systematic analysis of existing webpages on Cyber Terrorists. This include of existing database of Cyber extremists words and existing techniques of web classifier for keywords. Based on this paper systematic analysis, it will be the input for the formation of a new Cyber extremists WorldNet.","PeriodicalId":331521,"journal":{"name":"2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121309833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Structure-Behavior Coalescence Method for Integrating SysML Internal Block Diagram with Activity Diagram SysML内部框图与活动图集成的结构-行为合并方法

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837097

Keng-Pei Lin, Te-Min Chang, Ming-Fu Hsu, Sin-Jin Lin, W. Chao

引用次数: 2

Vision Based System for Banknote Recognition Using Different Machine Learning and Deep Learning Approach 基于视觉的钞票识别系统，采用不同的机器学习和深度学习方法

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837068

N. A. J. Sufri, N. A. Rahmad, N. F. Ghazali, N. Shahar, M. A. As’ari

{"title":"Vision Based System for Banknote Recognition Using Different Machine Learning and Deep Learning Approach","authors":"N. A. J. Sufri, N. A. Rahmad, N. F. Ghazali, N. Shahar, M. A. As’ari","doi":"10.1109/ICSGRC.2019.8837068","DOIUrl":"https://doi.org/10.1109/ICSGRC.2019.8837068","url":null,"abstract":"Visually impaired people faced a problem in identifying and recognizing the different types of banknote due to some reasons. This problem draws researchers’ attention to introduce an automated banknote recognition system that can be divided into a vision-based system and sensor-based system. The main aim of this study is to have deeper analysis on the effect of region and orientation on the performance of Machine Learning and Deep Learning respectively using Malaysian Ringgit banknotes (RM 1, RM 5, RM 10, RM 20, RM 50 and RM 100). In this project, two experiments conducted on two types of banknote image: different region and orientation captured by using handphone camera in a controlled environment. Feature extraction of the RGB values called RB, RG, and GB from banknote image with different region were used to the machine learning classification algorithms such as k-Nearest Neighbors (kNN) and Decision Tree Classifier (DTC), Support Vector Machine (SVM) and Bayesian Classifier (BC) for recognizing each class of banknote. Banknote image with different orientation was directly feed to AlexNet, a pre-trained model of Convolutional Neural Network (CNN), the most popular image processing structure of Deep Learning Neural Network. Ten-fold cross-validation was used to select the optimized kNN, DTC, SVM, and BC which was based on the smallest cross-validation loss. After that, the performance of kNN, DTC, SVM, BC and AlexNet model was presented in a confusion matrix. Both kNN and DTC achieved 99.7% accuracy but both SVM and BC perform better by succeeded to achieve 100% accuracy. It also can be concluded that AlexNet can only perform great in testing new data if only the data had previously been trained with similar orientation. Orientation does give effect to the performance of AlexNet model.","PeriodicalId":331521,"journal":{"name":"2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130531998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

A Consumer-Oriented Cloud Forensic Process Model 面向消费者的云取证流程模型

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837096

A. Moussa, Norafida Ithnin, Nawaf Almolhis, A. Zainal

引用次数: 13

The Effect of Multimedia Technology Integration on Students’ Academic Achievement 多媒体技术集成对学生学习成绩的影响

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837091

Afferò Ismail, A. Masek, M. Z. Rozali, Suhaizal Hashim, Maya Sarina Dauman, Iqmalhakim Azizi

{"title":"The Effect of Multimedia Technology Integration on Students’ Academic Achievement","authors":"Afferò Ismail, A. Masek, M. Z. Rozali, Suhaizal Hashim, Maya Sarina Dauman, Iqmalhakim Azizi","doi":"10.1109/ICSGRC.2019.8837091","DOIUrl":"https://doi.org/10.1109/ICSGRC.2019.8837091","url":null,"abstract":"Teaching and learning curriculum requires more effective transformation and methodology to improve the minds of students, particularly for moderate students to enable them to be ready in the technical fields. Therefore, an experiment that include pre-test and post-test with control group design has been conducted to determine the effectiveness of the integration of multimedia during teaching and learning in technical subjects. This study was conducted in a Vocational College in Johor, Malaysia which involved 30 students in experimental group and 30 students in control group. Experimental group were taught using multimedia elements while the control group was taught with the ordinary or normal teaching and learning method. The data were analysed using mean score, standard deviation and an independent T-test. The pre-test min score is 2.55 (SD=1.00) and the post-test min score is 4.35 (SD=0.75), the result indicated significant different between groups. Therefore, it can be concluded that integration of multimedia as a teaching aid increase the student’s interaction and promotes the mastery learning among them. A multimedia-based learning seems able to create an exciting and effective impact in teaching and learning.","PeriodicalId":331521,"journal":{"name":"2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134066294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An Overview of Anomaly Detection for Online Social Network 在线社交网络异常检测综述

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837066

R. H. Elghanuni, Musab A. M. Ali, Marwa B. Swidan

{"title":"An Overview of Anomaly Detection for Online Social Network","authors":"R. H. Elghanuni, Musab A. M. Ali, Marwa B. Swidan","doi":"10.1109/ICSGRC.2019.8837066","DOIUrl":"https://doi.org/10.1109/ICSGRC.2019.8837066","url":null,"abstract":"Social networks are rapidly becoming part of our everyday activities. In online social network (OSN) environment, there is a huge amount of information which is available and widely used for various areas; such as provide the sharing of information and create relationship between people in a virtual community, capturing the criminals, detect terrorist and unlawful activities. Based on analyzing the OSN, there are two types of data that are inferred, first is behavioral data which depends on the dynamic behaviors of the user, and second is structural data which includes network structure. In social networking, there are enormous of anomalies. For instance; identity theft, hack account, fake account, spams and many other illegitimate activities, for this reason, there is a need for a way to detect these anomalies. There are many studies that conducted to detect the anomaly, but to the best of our knowledge, there were very limited researches carried out in the graph anomaly detection. However, those researches which used various data mining approaches are not promising, due to time complexity, lack of datasets, and lower accuracy. This paper attempts to present and discuss the previous works proposed to detect the anomalies on the OSN.","PeriodicalId":331521,"journal":{"name":"2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134074347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

An Automatic Plant Disease Symptom Segmentation Concept Based on Pathological Analogy 基于病理类比的植物病害症状自动分割概念

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837076

A. M. Abdu, M. Mokji, U. U. Sheikh

{"title":"An Automatic Plant Disease Symptom Segmentation Concept Based on Pathological Analogy","authors":"A. M. Abdu, M. Mokji, U. U. Sheikh","doi":"10.1109/ICSGRC.2019.8837076","DOIUrl":"https://doi.org/10.1109/ICSGRC.2019.8837076","url":null,"abstract":"This paper proposes an automatic disease symptom segmentation algorithm using a simple pathological pattern recognition concept to segment plant disease visual symptoms on digital leaf images. The novelty of the algorithm is in the use of pathological analogy of diseases caused by pathogens, distinct homogeneous patterns relative to the disease progression, to segment individual images into symptomatic, necrotic, and blurred regions. Applying the pathological concept allow for actual disease lesion areas to be quantized in accordance with their true analogy. As a result, individual pattern characteristics of each lesion along the leaf surface can be tracked and features can later be extracted for characterization using machine learning. By employing the concept, the proposed algorithm applies a fusion of simple color space manipulation HSV and CIElab with deltaE (ΔE) color relativity equation to compute each lesion type pixels color. The obtained results are encouraging, successfully localizing and quantifying individual disease lesions. This also indicates the applicability of the proposed approach in discriminating plant diseases based on their analogical dissimilarity. Moreover, it provides opportunities for early identification and detection of fine changes in plant growth, disease stage and severity estimation to assisting crop diagnostics in precision agriculture.","PeriodicalId":331521,"journal":{"name":"2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131117902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Fuzzy Based MPPT and Energy Management Strategy 基于模糊的MPPT与能源管理策略

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837080

Abhishek Roshan, P. Dwivedi, Himesh Kumar

引用次数: 3

Augmented Reality with Hand Gestures Control for Electronic Medical Record 增强现实与手势控制的电子病历

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837061

Mohd Ashraf Shukri Selleh, A. Saudi

{"title":"Augmented Reality with Hand Gestures Control for Electronic Medical Record","authors":"Mohd Ashraf Shukri Selleh, A. Saudi","doi":"10.1109/ICSGRC.2019.8837061","DOIUrl":"https://doi.org/10.1109/ICSGRC.2019.8837061","url":null,"abstract":"Medical records are generally used in medical institution to keep track of patients’ information and their health conditions. Information such as family members, past surgeries and medication taken are recorded and accessible for future references. Medical images of the patient, such as Magnetic Resonance Imaging (MRI) scan and Computed Tomography (CT scan) are available in a 2D printout and are shown to the patient. With the advancement of technology and augmented reality platform, this medical image can be brought to life to enhance the understanding of it. This paper presents the work on developing an application that employs Augmented Reality (AR) technology to enhance users’ experience with Electronic Medical Record (EMR). It allows patients to have an in-depth look at their 3D organs as well as their past medical record. With the integration of LEAP motion device, the 3D organs can be controlled using hand gestures. Three 3D models (kidney, heart and liver) were developed to demonstrate the feasibility of using AR as an alternative solution for storing users’ medical records. Based on the users’ feedback obtained through user acceptance test sessions, the responses are very encouraging.","PeriodicalId":331521,"journal":{"name":"2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122723954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Optimization for Distributed Generation Planning in Radial Distribution Network using MVMO-SH 基于MVMO-SH的径向配电网分布式发电规划优化

2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2019-08-01 DOI: 10.1109/ICSGRC.2019.8837082

N. M. Saad, M. Z. Sujod, M. Ridzuan, M. F. Abas

引用次数: 1