2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)最新文献_第2页

An 18-Pulse Uncontrolled Star Rectifier for Input Line Current Harmonic Reduction 一种用于降低输入线路电流谐波的18脉冲非控制星型整流器

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/ICECTE48615.2019.9303541

Md. Abdul Malek, Muhammad Abdul Goffar Khan, Md Mayenul Islam

引用次数: 3

Artificial Neural Network Based Maximum Power Point Tracking of a Photovoltaic System 基于人工神经网络的光伏系统最大功率点跟踪

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/ICECTE48615.2019.9303531

Md. Motakabbir Rahman, M. Islam

{"title":"Artificial Neural Network Based Maximum Power Point Tracking of a Photovoltaic System","authors":"Md. Motakabbir Rahman, M. Islam","doi":"10.1109/ICECTE48615.2019.9303531","DOIUrl":"https://doi.org/10.1109/ICECTE48615.2019.9303531","url":null,"abstract":"Nonlinear behavior of photovoltaic system under changing environmental conditions, creates the requirement of designing maximum power point tracker (MPPT). MPPT is an electronic device that enables the system to draw the maximum available power, what PV panel is capable of generating under changing temperature and irradiance by using several types of algorithms and methods. Conventionally perturb and observe (P&O) method and incremental conductance method have been used for designing MPPT, as they provide a simple and cost effective way of tracking. But either they have drawback of slow operation or low tracking efficiency. However, Artificial Neural Networks (ANN) can be deployed for this purpose, as they can track the optimal operating point (MPP) quickly and accurately based on training data sets. This paper presents three ANN based MPPT methods: Direct ANN, Cascaded ANN and the proposed Hybrid method. The ANN’s are trained using training data set of maximum power point voltages (VMPP) from a user defined PV array over different environmental conditions (temperature and irradiance). In this research work, a user defined PV array and three MPPT models are simulated in SIMULINK.","PeriodicalId":320507,"journal":{"name":"2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125299396","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

Secure Wireless Multicasting Over Generalized Gamma Fading Channels 广义伽玛衰落信道上的安全无线多播

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/ICECTE48615.2019.9303580

S. M. S. Shahriyer, A. S. M. Badrudduza, M. A. A. Masrur, M. K. Kundu, M. Sarkar

引用次数: 0

Identification of the Risk Factors of Cervical Cancer Applying Feature Selection Approaches 应用特征选择方法识别宫颈癌的危险因素

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/ICECTE48615.2019.9303554

Mohiuddin Ahmed, M. M. Jahangir Kabir, Monika Kabir, M. Hasan

{"title":"Identification of the Risk Factors of Cervical Cancer Applying Feature Selection Approaches","authors":"Mohiuddin Ahmed, M. M. Jahangir Kabir, Monika Kabir, M. Hasan","doi":"10.1109/ICECTE48615.2019.9303554","DOIUrl":"https://doi.org/10.1109/ICECTE48615.2019.9303554","url":null,"abstract":"A risk factor is any attribute that enhances the probability of getting an injury or disease. Cervical cancer has been considered as a frequent type of cancer among women. The attributes that are involved in enhancing the likelihood of cervical cancer are considered as the risk factors of this cancer. If it is possible to point out the risk factors of cervical cancer, the reason behind this disease can be understood easily. Thus, through proper treatment, mortality rate can be minimized and the quality of care can be increased. The aim of this study is to point out the risk factors of cervical cancer and find a model that provides good performance in predicting cervical cancer. In this research, Recursive Feature Elimination (RFE) and an ensemble approach based on Random Forests classifier have been used to identify the factors having much significance in predicting cervical cancer. Support Vector Machine (SVM), Multilayer Perceptron, and Logistic Regression have been used to evaluate the performance. SVM with an ensemble approach based on Random Forests classifier has outperformed than others with the accuracy of 91.04%, specificity of 91.94% , and AUC score of 0.89 for an independent test set.","PeriodicalId":320507,"journal":{"name":"2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124586684","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

K-mer Based DNA Methylation Status Prediction Using Support Vector Machine 基于K-mer的支持向量机DNA甲基化状态预测

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/ICECTE48615.2019.9303562

Md. Farukuzzaman Faruk, Abu Sayeed

{"title":"K-mer Based DNA Methylation Status Prediction Using Support Vector Machine","authors":"Md. Farukuzzaman Faruk, Abu Sayeed","doi":"10.1109/ICECTE48615.2019.9303562","DOIUrl":"https://doi.org/10.1109/ICECTE48615.2019.9303562","url":null,"abstract":"Cancer, diabetics, cardiovascular diseases and some of rare diseases are occurred due to the modification in human genome. DNA methylation is one of such type of genomic change. When one or more methyl groups are added to the DNA molecule, it is termed as DNA methylation. It is very difficult and challenging to deal with DNA methylation because of having high dimentionality and noisiness of methylation dataset. In this research work, we have proposed a machine learning based computational model for predicting DNA methylation. Our model is highly involved with bioinformatics and genomic information to extract genomic features. All previous works regarding the prediction of DNA methylation were only based on the statistical tools. Our model has two phases including the feature extraction and selection phase and the classification phase. In feature extraction phase we have used k-mer bioinformatics algorithm to extract the most appropriate features. Then using some statistical tools, we have selected the most discriminating features. Finally, we have chosen SVM, a supervised machine learning algorithm to predict the DNA methylation status. Our model has produced a classification accuracy of 98.65%.","PeriodicalId":320507,"journal":{"name":"2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121524624","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

Energy-Efficient Hybrid Precoding Analysis in 5G mmWave massive MIMO Systems in Different Channels 不同信道下5G毫米波海量MIMO系统的节能混合预编码分析

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/ICECTE48615.2019.9303517

Sawkat Osman, M. Mowla, Prosenjit Paul, L. Paul

{"title":"Energy-Efficient Hybrid Precoding Analysis in 5G mmWave massive MIMO Systems in Different Channels","authors":"Sawkat Osman, M. Mowla, Prosenjit Paul, L. Paul","doi":"10.1109/ICECTE48615.2019.9303517","DOIUrl":"https://doi.org/10.1109/ICECTE48615.2019.9303517","url":null,"abstract":"Millimeter-wave (mmWave) communication is very likely to emerge as a up-and-coming method in the next wireless generation (5G) era. Hybrid precoding architectures are broadly analyzed in mmWave massive multiple input multiple output (MIMO) systems because of its ability to mitigate the RF chains significantly. In most of the hybrid precoding networks, the analog processing part is implemented by phase shifters (PS) which consumes high energy, or by low-complexity switches (SW) which reduces the power consumption to a great extent; where both architectures consider simply mmWave channel. In this research, energy efficiency (EE) of a low-complexity SW-based hybrid precoding utilizing the antenna selection (AS) algorithm is analyzed for a mmWave m-MIMO system in various channels (e.g., Rayleigh, Rician and Nakagami-m fading channel). Simulation results indicate that the SW-based network enjoys a much higher EE than other schemes in each of the channels considered and therefore is an aspiring candidate for upcoming green communication approach.","PeriodicalId":320507,"journal":{"name":"2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128794710","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: 1

[ICECTE 2019 Title page] [ICECTE 2019扉页]

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/icecte48615.2019.9303514

引用次数: 0

Performance Investigation of Robust Linearly Constrained Minimum Variance Beamforming for Direction of Arrival Mismatch 到达方向不匹配下鲁棒线性约束最小方差波束形成性能研究

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/ICECTE48615.2019.9303587

T. Chakrabarty, M. S. Hossain, S. Ahmed, N. Ahmed

引用次数: 0

Audio Future Block Prediction with Conditional Generative Adversarial Network 基于条件生成对抗网络的音频未来块预测

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/ICECTE48615.2019.9303563

Md. Rahat-uz-Zaman, Shadmaan Hye, Mahmudul Hasan

引用次数: 0

Sub Diffraction Imaging Using Wire Array Metamaterial 利用线阵列超材料进行亚衍射成像

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2019-12-26 DOI: 10.1109/ICECTE48615.2019.9303553

S. M. Arman Hossain, Md. Sadat Hossain, Md. Imteaz Rahman

引用次数: 1