2019 15th International Conference on Electronics, Computer and Computation (ICECCO)最新文献_第3页

Visible Light Communication: A potential 5G and beyond Communication Technology 可见光通信:一种潜在的5G及以后的通信技术

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043201

S. Idris, Usman Mohammed, Jaafaru Sanusi, Sadiq Thomas

引用次数: 13

Using Solar Photovoltaic Systems to Significantly Reduce Power Production Problems in Nigeria and Create a Greener Environment 利用太阳能光伏系统显著减少尼日利亚的电力生产问题，创造更绿色的环境

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043257

Onyedikachi Vincent Okereke, Fatima Aliyu, Jonathan Dangwaran, Sadiq Thomas, Biliyok Akawu Shekari, Hussein U. Suleiman

引用次数: 1

Modelling And Realization of a Compact CPW Transmission Lines Using 3D Mmics Technology in ADS Momentum 基于三维mimics技术的紧凑型CPW传输线的建模与实现

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043289

H. Bello, O. Oyeleke, A. D. Usman, T. Bello, Idris Muhammad, O. S. Zakariyya

{"title":"Modelling And Realization of a Compact CPW Transmission Lines Using 3D Mmics Technology in ADS Momentum","authors":"H. Bello, O. Oyeleke, A. D. Usman, T. Bello, Idris Muhammad, O. S. Zakariyya","doi":"10.1109/ICECCO48375.2019.9043289","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043289","url":null,"abstract":"The two dimensional monolithic microwave integrated circuits (2D MMIC) are mainly implemented in a planar fashion and use microstrip design based technology. At microwave frequency and above, they would require a large amount of passive circuitry therefore occupying a great deal of space (area). Furthermore the 2D MMIC is associated with some disadvantages ranging from the use of very thin substrate which makes it less reliable, to very delicate substrate due to the use of via-hole technology, coupling issue and high cost due to large area it occupies. To solve these problems a three-dimensional multilayer technique 3D MMIC was used. The design of the 3D MMIC is based on coplanar waveguide (CPW), in this design the signal is protected by the two grounds on both side, the circuit becomes more compact, cost-effective and with improved performance. This research work was aimed at the design, modelling and investigation of a GaAs based multilayer compact 3D MMIC transmission line. Different transmission lines were designed and modelled using Agilent’s Advanced Design System (ADS) and their Sparameters were extracted using Electromagnetic (EM) simulator momentum.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"2 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114386560","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

Review of Advances in Machine Learning Based Protein Secondary Structure Prediction 基于机器学习的蛋白质二级结构预测研究进展

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043234

M. Muhammad, R. Prasad, M. Fonkam, H. Umar

{"title":"Review of Advances in Machine Learning Based Protein Secondary Structure Prediction","authors":"M. Muhammad, R. Prasad, M. Fonkam, H. Umar","doi":"10.1109/ICECCO48375.2019.9043234","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043234","url":null,"abstract":"Protein secondary structure prediction plays a fundamental role in bioinformatics. Extracting valuable information from big biological data that can give an insight into understanding the 3-dimensional protein structure and later learn its biological function is quit challenging. In the past decade, many machine learning approaches have been applied in bioinformatics to extract knowledge from protein data. In this paper, a critical review on the recent development in machine learning based protein secondary structure prediction methods are presented. Next generation method (Deep learning) is also introduced to provide interested researchers with first-hand information on the future trend in this field. Although many approaches have yielded an appreciable prediction performance, machine learning approaches are far from fulfilling its potentials in biological research because of the difficulty in interpreting how particular model feature correlate with input features to yield that desired output in biological perspective. Therefore, this study has found that several further improvements are possible with the emergence of deep learning techniques.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114567182","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

DyRED: An Enhanced Random Early Detection Based on a new Adaptive Congestion Control 基于一种新的自适应拥塞控制的增强随机早期检测

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043276

Sunday Barde Danladi, Faruku Umar Ambursa

{"title":"DyRED: An Enhanced Random Early Detection Based on a new Adaptive Congestion Control","authors":"Sunday Barde Danladi, Faruku Umar Ambursa","doi":"10.1109/ICECCO48375.2019.9043276","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043276","url":null,"abstract":"Over the years congestion has been a major issue affecting the internet leading to an increase in packet loss and delay. Researchers have proposed different algorithms to address the issue of congestion from Drop Tail, Early Random Drop to Active Queue Management (AQM). Random Early Detection (RED) is the first Active Queue Management (AQM) technique that was developed to support transport-layer congestion and decrease the impacts of network congestion on the router buffer. The idea behind RED is to sense and detect incipient congestion early and notify connections of congestion either by dropping packets arriving or by reducing its sending rate. Although various other AQM techniques have been proposed by researchers, RED is still the most commonly used algorithm for congestion avoidance and researches is still ongoing to enhance the performance of RED. In this paper, we have developed an extension to RED to address the limitation of RED and the algorithm is then compared with RED under various network scenarios. The results of the evaluation shows that the new method has outperformed RED.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117302565","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: 9

An Enhanced Face Recognition Method for Lighting Problem 一种针对光照问题的增强人脸识别方法

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043199

Cemil Turan, A. Aitimov, B. Kynabay, Aimoldir Aldabergen

引用次数: 0

Improved Handwritten Digit Recognition method using Deep Learning Algorithm 改进的基于深度学习算法的手写数字识别方法

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043235

R. Jantayev, Y. Amirgaliyev

引用次数: 3

General Solutions of Consistent and Inconsistent Linear Equation Systems Via Maple 相容与不相容线性方程组的一般解

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043243

O. Gurbuz, Hatice Gurbuz, Isa Muslu

引用次数: 0

Epilepsy Detection Using Artificial Neural Network and Grasshopper Optimization Algorithm (GOA) 基于人工神经网络和Grasshopper优化算法的癫痫检测

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043226

Buhari U. Umar, M. B. Muazu, J. Kolo, J. Agajo, I. D. Matthew

{"title":"Epilepsy Detection Using Artificial Neural Network and Grasshopper Optimization Algorithm (GOA)","authors":"Buhari U. Umar, M. B. Muazu, J. Kolo, J. Agajo, I. D. Matthew","doi":"10.1109/ICECCO48375.2019.9043226","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043226","url":null,"abstract":"Epilepsy affects about 1 % of the contemporary population and sternly reduces the wellbeing of its patients. It is a neurological disorder of the central nervous system that is usually characterized by sudden seizure. The possibility of detecting and predicting epileptic seizure has engrossed mankind already for over 35 years. One of the main tools in detecting and predicting the Epilepsy seizures are the Electroencephalograms (EEG), which record the brain activity by measuring the extracellular field potentials due to neuronal discharges. This EEG is quite difficult and complex to interpret even by an expert neurologist, even so, it is time-consuming, often challenging, sets in human error as well as delay in treatment. In this research, a hybrid classification model using Grasshopper Optimization Algorithm (GOA) and Artificial Neural Network (ANN) for automatic seizure detection in EEG is proposed called GOA-ANN approach. Nine parameters (mean value, variance value, Standard deviation value, energy value, entropy value and maximum value, RMS value, kurtosis and skewness) were extracted and used as the features to train the ANN classifiers. GOA was used for selecting the best features in order to obtain an effective EEG classification. In comparison with other research, the result was able to detect epilepsy and enhance the diagnosis of epilepsy with an accuracy of 98.4%. The research was also compared with Artificial Neural Network using Feed-Forward network, the result shows that GOA_ANN approach performed better.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131354062","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

Towards the Development of Intelligent Insulin Injection Controller For Diabetic Patients 糖尿病患者胰岛素注射智能控制器的研制

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043247

A. P. Adedigba, A. R. Zubair, A. Aibinu, Steve A. Adeshina, Olumide Okubadejo, T. A. Folorunso

{"title":"Towards the Development of Intelligent Insulin Injection Controller For Diabetic Patients","authors":"A. P. Adedigba, A. R. Zubair, A. Aibinu, Steve A. Adeshina, Olumide Okubadejo, T. A. Folorunso","doi":"10.1109/ICECCO48375.2019.9043247","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043247","url":null,"abstract":"Diabetes Mellitus (DM) is a disease of the glucose-insulin regulatory system where the insulin producing beta-cells has been damaged thereby producing none to very little insulin leaving the body with no means of regulating glucose. DM has high socioeconomic costs because it needs long term monitoring and individual care to prevent or decrease complications. Uncontrolled or poorly controlled diabetes lead to evolution or development of microvascular and macrovascular complications. It has been shown that adequate or even tight glycaemic control can prevent or delay complications and finally can reduce these complications. One of this glycaemic control is insulin therapy, meanwhile, non-adherence to the therapy due to its sever pain is prevalent among patients. In this paper, a review of research efforts towards the development of automatic insulin injection from control engineering perspective is presented. The reviewed techniques are basically closed loop approach, which include PID controllers, Model Predictive Controllers and Adaptive Controller techniques using machine learning approaches.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131379219","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