2021 International Congress of Advanced Technology and Engineering (ICOTEN)最新文献_第3页

A New Feature Hashing Approach Based on Term Weight for Dimensional Reduction 基于项权值的特征哈希降维新方法

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493447

Abubakar Ado, N. Samsudin, M. M. Deris

引用次数: 1

Emotional behavior analysis based on EEG signal processing using Machine Learning: A case study 基于机器学习的脑电图信号处理的情绪行为分析:一个案例研究

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493537

Salim Klibi, M. Mestiri, I. Farah

{"title":"Emotional behavior analysis based on EEG signal processing using Machine Learning: A case study","authors":"Salim Klibi, M. Mestiri, I. Farah","doi":"10.1109/ICOTEN52080.2021.9493537","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493537","url":null,"abstract":"Based on a well-known benchmark, a comparison between the present study and the literature was carried out. This paper investigates a variety of Machine Learning (ML) and Deep Learning (DL) algorithms for classifying emotional events using EEG brainwave data. The contribution of this paper occurs in the data processing phase more precisely at the classification level to predict human emotions either positive, neutral, or negative from EEG signals after applying several algorithms and techniques. According to Bird’s findings, RF augmenting with InfoGain information outperforms Adaptative Boosted LSTM, Adaboosted MLP, and nonboosted DEvo MLP. During the classification phase, we used different classifiers such Random Forest (RF), XgBOOST, NaiveBayes (NB), Decision Tree (DT), Linear RegressionCV (LRCV), Support Vector Machine (SVM), Linear Regression (LR), and Convolutional Neural Networks (CNN) to improve classification performance. They attained an overall accuracy of around 96,88%, 96,41%, 95,47%, 94,06%, 90,00%, 89,06%, 88,91%, and 52,66% respectively. As a result, we find that InfoGain consistently improves RF’s performance in dealing with data and outperforms other classifiers. On the other hand, the inefficiency of CNN can be explained by the lack of a big amount of data.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133993002","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: 6

Optimized Non-linear Multivariable Grey Model for Carbon Dioxide Emissions in Malaysia 马来西亚二氧化碳排放的优化非线性多变量灰色模型

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493552

Assif Shamim Bin Mustaffa Sulaiman, Ani Bin Shabri

{"title":"Optimized Non-linear Multivariable Grey Model for Carbon Dioxide Emissions in Malaysia","authors":"Assif Shamim Bin Mustaffa Sulaiman, Ani Bin Shabri","doi":"10.1109/ICOTEN52080.2021.9493552","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493552","url":null,"abstract":"This paper analyses the relationship between carbon dioxide emissions with the energy consumption from the year 2005 to 2014 in Malaysia by introducing an optimized non-linear multivariable grey, NGM(1,N) model by establishing a power exponent term for its subsequent relevant factors. The aim of this research is to improve the existing NGM(1,N) model by solving the effect of non-linear properties which is able to correlate among the consequent factors based on the selection of power exponent optimization. This paper will also introduce the transformed NGM(1,N) known as TNGM(1,N) model that produces a more accurate result compared to NGM(1,N) model that prompted simulated output. The power exponent term value was determined using the generalized reduced gradient (GRG) method in Microsoft Excel Solver. It is proven that the TNGM(1,N) model performs the best and hence it serves as vital information for the government’s environmental-related agencies and policymakers to focus on the effort to promote green efficient technology to society at large by reducing the releases of carbon dioxide emissions to the environment.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134404303","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

ICOTEN 2021 Cover Page ICOTEN 2021封面

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/icoten52080.2021.9493479

引用次数: 0

Using BGP Features Towards Identifying Type of BGP Anomaly 利用BGP特征识别BGP异常类型

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493491

Noor Hadi Hammood, Bahaa Al-Musawi

引用次数: 3

Color Matching Based Approach for Robotic Grasping 基于颜色匹配的机器人抓取方法

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493540

Marwan Qaid Mohammed, L. Kwek, S. C. Chua, Esmail Ai Alandoli

{"title":"Color Matching Based Approach for Robotic Grasping","authors":"Marwan Qaid Mohammed, L. Kwek, S. C. Chua, Esmail Ai Alandoli","doi":"10.1109/ICOTEN52080.2021.9493540","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493540","url":null,"abstract":"Object grasping is a basic but difficult task in robotic manipulation due to various object size, shapes and other properties. The problem becomes more challenging when the robot has to reach for and grasp a particular object in cluttered environments. To this end, the color of object can be one of the important features for identifying the target object to be picked up. In this paper, we investigate an approach of training a robot so that it is able to locate the target object by matching its color, and goes on to pick up the object in an unsupervised learning manner. The proposed approach is divided into two parts: 1) a semantic segmentation module that locates the target object by segmenting the color image and creates a mask on the predicted target object, 2) an object pose estimation module that predicts the optimal grasp position of target object based on a deep reinforcement learning framework. The proposed approach was evaluated with various testing scenarios of handling single and multiple colored target objects. The experimental simulation results indicate that the suggested approach achieves an overall success rate of 92% in the grasping task.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115155836","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

Queuing Theory Approach for NDN Mobile Producer’s Rate of Transmission Using Network Coding 基于网络编码的NDN移动生产者传输速率的排队论方法

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493453

M. Z. Ahmed, A. H. Hashim, O. Khalifa, R. Alsaqour, R. Saeed, A. H. Alkali

{"title":"Queuing Theory Approach for NDN Mobile Producer’s Rate of Transmission Using Network Coding","authors":"M. Z. Ahmed, A. H. Hashim, O. Khalifa, R. Alsaqour, R. Saeed, A. H. Alkali","doi":"10.1109/ICOTEN52080.2021.9493453","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493453","url":null,"abstract":"Nowadays, Internet has become a crucial part of everyday life in areas of academic research, healthcare, military, commercial industries, transportation, and entertainment. The Internetwork was not invented for its present-day state of operation. Numerous limitations are currently emerging in terms of Internet performance, mobility, scalability, dependability, security, and service quality. In this paper we consider real time network application for voice and video, both having variable bitrate sources. A mobile producer is solely responsible to direct the traffic to a specified destination, either in one network or different. For voice traffic, a constant bitrate (CBR) is generated in real time during a talkspurt. During this generation interval, a small amount of traffic is transmitted in a period of silent pause. For video traffic, the bitrate is changed because video coding form is altering due to time interval. Also, the visible image in the proposed video application varies due to network coding application. In the results, performance analysis is measured due to amount of time spend in each cell residence and signalling cost between mobile producer and rendezvous node as a definite destination. We conducted simulation coding in ndnSIM 2.1 and performance analysis using Python. Simulation output present better results compared with other benchmarked research.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124738086","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

Successful Adoption of Cloud Computing Security Model for SMEs in Libya 利比亚中小企业成功采用云计算安全模式

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493538

Abdulhafid Bughari Abdulkarim Abdulgadr, A. Hamad, Mansour Khalifa Hamad Mohamed

引用次数: 0

Towards a Tunisian earth observation data cube for environmental applications 为环境应用建立突尼斯地球观测数据立方体

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493471

M. Rhif, Ali Ben Abbes, F. Chouikhi, N. Jarray, I. Farah

{"title":"Towards a Tunisian earth observation data cube for environmental applications","authors":"M. Rhif, Ali Ben Abbes, F. Chouikhi, N. Jarray, I. Farah","doi":"10.1109/ICOTEN52080.2021.9493471","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493471","url":null,"abstract":"The analysis of environmental applications become a crucial global concern due to the continuous change in natural resources (climatic change, anthropogenic change, etc). Recently, a wide range of free and open accessible remote sensing earth observation (EO) data are investigated. However, these data still underutilized due to their complexity, volume, veracity, velocity, variety which make users spend an amount of effort into data preparation. To realize the full information potential of EO data, creative tools must be built to reduce the time and scientific expertise necessary to access and process these data. To deal with these challenges, Analysis Ready Data (ARD) are exploited to store big EO data on a formal and structured basis with modest hardware and low clouds expenses. Nevertheless, ARD necessitates a degree of knowledge that the majority of users is limited. Thus, the EO Data Cube (DC) is a modern concept that aims to make it a reality. In this paper, we propose a Tunisian EO Data Cube (TDC). The proposed TDC architecture is composed of four parts. The first and second part consists of data collection and ARD and multidimensional data cubes building from remote sensing EO data for Tunisia. Then, different web services are developed to create, integrate, discover, access, and process the data sets. Finally, various applications were presented such as vegetation change analysis based on machine learning methods.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121736541","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

Stability Elements and Matching Components of Microwave Amplifier at C-band Frequency: Simulation Analysis c波段微波放大器稳定元件及匹配元件仿真分析

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493489

R. C. Yob, N. Ramli, N. Bahari, L. Zahid, M. W. Nasrudin

{"title":"Stability Elements and Matching Components of Microwave Amplifier at C-band Frequency: Simulation Analysis","authors":"R. C. Yob, N. Ramli, N. Bahari, L. Zahid, M. W. Nasrudin","doi":"10.1109/ICOTEN52080.2021.9493489","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493489","url":null,"abstract":"The stability elements and matching components of microwave amplifier at C-band frequency are presented in this article, which primarily focuses on a simulation analysis. Agilent’s Advanced Design System software is used to conduct this simulation analysis. To maintain the necessary outputs, such as low noise for low noise amplifier and high power for high power amplifiers, the stability elements and matching components on microwave amplifiers have been a significant consideration. Simultaneously, problems of reliability need more focus to prevent oscillations and ensure that the amplifier function properly. Furthermore, the stability elements and matching components must be completed at the start of the design process to ensure that the circuits are run in a stable area, ensuring that it will be operated properly. In this article, this investigation is tested for two types of transistors at 5 GHz: conditional stable and unconditionally stable transistors. The conditional stable will be represented by the pseudomorphic high electron-mobility transistor, pHEMT of ATF-36077. Meanwhile, the unconditional stable transistor is a power gallium arsenide field-effect transistor (GaAs FET) of the FLC053WG. The stability analysis results for both conditions of the transistor are compared in a calculation or MATLAB with an ADS software simulation. The obtained results show a high level of consensus. To perform well as a microwave amplifier in the stable area, the unconditional stable transistor of ATF-36077 required proper stability and matching components.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121072596","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