2018 International Conference on Smart Communications and Networking (SmartNets)最新文献_第3页

IoT-based Smart Airport Solution 基于物联网的智能机场解决方案

2018 International Conference on Smart Communications and Networking (SmartNets) Pub Date : 2018-11-01 DOI: 10.1109/SMARTNETS.2018.8707393

Reema AlMashari, Ghada AlJurbua, Lama AlHoshan, Norah Saud Al Saud, Ola BinSaeed, N. Nasser

引用次数: 5

A Short-Term Load Forecasting of 33kV, 11kV and 415V Electrical Systems using HMLP Network 基于HMLP网络的33kV、11kV和415V电力系统短期负荷预测

2018 International Conference on Smart Communications and Networking (SmartNets) Pub Date : 2018-11-01 DOI: 10.1109/SMARTNETS.2018.8707383

Zuraidi Saad, F. Ahmad, Z. Yaacob

{"title":"A Short-Term Load Forecasting of 33kV, 11kV and 415V Electrical Systems using HMLP Network","authors":"Zuraidi Saad, F. Ahmad, Z. Yaacob","doi":"10.1109/SMARTNETS.2018.8707383","DOIUrl":"https://doi.org/10.1109/SMARTNETS.2018.8707383","url":null,"abstract":"this research is utilizing three different voltages for load flow forecasting to establish a short-term online forecasting. Upon completion of this research, several neural network learning algorithms will be compared that is an Adaptive Learning Recursive Prediction Error, Modified Recursive Prediction Error, Recursive Prediction Error and Back Propagation. A network entitled Hybrid Multilayered Perceptron Network is coupled to these training algorithms. By using an on-line model, it is applied to estimate the future trend. The future trend network model is train using nonlinear autoregressive moving average with an exogenous input. The projecteded data is collected from the utility power supplies of 33kV, 11kV and 415V at three different locations in MARA University of Teknologi, Penang, Malaysia. Three different sets of data are applied to evaluate the performance of these learning algorithms. From the investigational results gathered, it showed that Adaptive Learning Recursive Prediction Error learning algorithm can be more enhanced the performance of other learning algorithm as an online model in the series of 0.45 dB to 9.481 dB of Mean Square Error during validation.","PeriodicalId":161343,"journal":{"name":"2018 International Conference on Smart Communications and Networking (SmartNets)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116609455","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

Advancing the Security of Trustworthy Self-IoT 推进可信赖自我物联网的安全性

2018 International Conference on Smart Communications and Networking (SmartNets) Pub Date : 2018-11-01 DOI: 10.1109/SMARTNETS.2018.8707421

Nizar Msadek, R. Soua, L. Ladid, T. Engel

引用次数: 0

Tajweed Classification Using Artificial Neural Network 基于人工神经网络的田葵分类

2018 International Conference on Smart Communications and Networking (SmartNets) Pub Date : 2018-11-01 DOI: 10.1109/SMARTNETS.2018.8707394

F. Ahmad, S. Z. Yahaya, Zuraidi Saad, A. Ahmad

{"title":"Tajweed Classification Using Artificial Neural Network","authors":"F. Ahmad, S. Z. Yahaya, Zuraidi Saad, A. Ahmad","doi":"10.1109/SMARTNETS.2018.8707394","DOIUrl":"https://doi.org/10.1109/SMARTNETS.2018.8707394","url":null,"abstract":"Consistent in recitation of the Quran is very important to become a perfect Muslim. The recitation has to be performed using correct rule of Tajweed in order to avoid recitation error that may leads to the mistranslation of the recited word or sentence. As the technology grown faster and so the number of Muslims, a variety of digital forms of Quran have been produced either in the form of mobile application or computer software. It is a good phenomenon as it will encourage more Muslims to recite the Quran. However, without the Tajweed knowledge, they tend to make mistakes during recitation. The traditional method of Quran Tajweed learning is based on Talaqqi and Musyafahah. This is a manual learning technique that involves face-to-face learning process between students and teacher. In order to address this issue, a Tajweed classification model based on digital speech processing technique and artificial neural network is developed as a fundamental research in this area. This study focuses on the rule of the Noon Sakinah and Tanween for the classification of Idgham with and without Ghunnah. The dataset is developed based on the Quran recitation from well-known reciters. Mel-Frequency Cepstral Coefficient is used for the feature extraction of the recitation sample. Meanwhile, the neural network is used for the Tajweed classifier. The training process of the neural network has been evaluated using three different training algorithms – Gradient Descent with Momentum, Resilient Backpropagation and Levenberg-Marquardt optimization. From the results, it can be concluded that the highest test accuracy is obtained by the Levernberg Marquardt training algorithm (77.7%) followed by the Gradient Descent with Momentum (76.7%) and Resilient Backpropagation (73.3%).","PeriodicalId":161343,"journal":{"name":"2018 International Conference on Smart Communications and Networking (SmartNets)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131637462","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: 4

The Quest for Scalable and Intelligent Trajectory Data Analytics Systems: Status Report and Future Directions 对可扩展和智能轨迹数据分析系统的探索:现状报告和未来方向

2018 International Conference on Smart Communications and Networking (SmartNets) Pub Date : 2018-11-01 DOI: 10.1109/SMARTNETS.2018.8707396

Rim Moussa, A. Haddad, T. Bejaoui

引用次数: 2

Experimental Validation of a Reconfigurable GLONASS Sub-Sampling Receiver 可重构格洛纳斯子采样接收机的实验验证

2018 International Conference on Smart Communications and Networking (SmartNets) Pub Date : 2018-11-01 DOI: 10.1109/SMARTNETS.2018.8707420

Hanen Mehrez, R. Barrak, A. Ghazel, M. Muller, G. Abib, Alexandre Vervisch-Picois, N. Samama

{"title":"Experimental Validation of a Reconfigurable GLONASS Sub-Sampling Receiver","authors":"Hanen Mehrez, R. Barrak, A. Ghazel, M. Muller, G. Abib, Alexandre Vervisch-Picois, N. Samama","doi":"10.1109/SMARTNETS.2018.8707420","DOIUrl":"https://doi.org/10.1109/SMARTNETS.2018.8707420","url":null,"abstract":"Positioning and navigation with Global Navigation Satellite System (GNSS) like GPS, GLONASS, BEIDOU and GALILEO are more and more deployed in various telemetry applications. Achieving reliable and accurate results is the main objective especially while dealing with safety and critical applications, which need to be robust under challenging environments. Thus, the key solution for a better accuracy position is to integrate a new structure based on Radio Frequency sub-sampling (RFS) aiming to reduce the complexity by including only one RF front-end capable to collect multiple signals at the same time. This RFS architecture allows to digitize the received signals as close to the antenna as possible and has been found to be a useful tool in system design and prototyping. This paper presents an experimental assessment of the reconfigurable GNSS receiver based on GLONASS signals to demonstrate its operation and functionality. To carry out the measures, real-world satellite data are needed. A measurement companion on the GNSS receiver was conducted based on GLONASS signals in the G1 band which were generated by the Labsat2 equipment. To look for the visible satellites, the Parallel Code-Phase Search Acquisition algorithm was used (PCS). Acquisition results for GLONASS G1 are shown and the performance of the receiver is discussed.","PeriodicalId":161343,"journal":{"name":"2018 International Conference on Smart Communications and Networking (SmartNets)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124805644","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

Reutilization and adaptation of a mobile architecture for Diabetes self-management 糖尿病自我管理的移动架构的重用和适应

2018 International Conference on Smart Communications and Networking (SmartNets) Pub Date : 2018-11-01 DOI: 10.1109/SMARTNETS.2018.8707428

I. T. I. Bessin, Ferdinand Guinko, H. Sta

引用次数: 1

Smart Learning Analytics and Frequent Formative Assessments to Improve Student Retention 智能学习分析和频繁的形成性评估提高学生保留率

2018 International Conference on Smart Communications and Networking (SmartNets) Pub Date : 2018-11-01 DOI: 10.1109/SMARTNETS.2018.8707435

M. M. Hassan, Adnan N. Qureshi, Andrés Moreno, M. Tukiainen

{"title":"Smart Learning Analytics and Frequent Formative Assessments to Improve Student Retention","authors":"M. M. Hassan, Adnan N. Qureshi, Andrés Moreno, M. Tukiainen","doi":"10.1109/SMARTNETS.2018.8707435","DOIUrl":"https://doi.org/10.1109/SMARTNETS.2018.8707435","url":null,"abstract":"In today’s world of competitive educational institutions, it is imperative that the final product, the students, are of the optimal quality as required by the professional industry. Conventionally, the progress and quality of the students were only assessed in end-of-term results, or at a few standpoints, which neglected the possibility of improving the weak areas. This shortcoming of the conventional educational system resulted in a high rejection/dropout of the potentially capable students. In this work, the authors propose adaptation of a novel content delivery, formative assessment, smart analytics and instant feedback mechanism pipelined into the educational process. The proposed model can potentially circumvent the pitfalls and significantly reduce the errors of assessment, grading, and the delivery of feedback. The proposed approach concurrently assures the quality of students at each formative step within a semester’s time, thus improving the quality of intake of the subsequent standpoint. The approach has been evaluated on one subject, Functional English, within a four year Computer Science Baccalaureate program. The results of the outcomes can be plausibly extended and applied onto other educational contexts.","PeriodicalId":161343,"journal":{"name":"2018 International Conference on Smart Communications and Networking (SmartNets)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126400468","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

Blockchain-enhanced Roots-of-Trust Blockchain-enhanced Roots-of-Trust

2018 International Conference on Smart Communications and Networking (SmartNets) Pub Date : 2018-09-24 DOI: 10.1109/SMARTNETS.2018.8707434

Vitor Jesus

引用次数: 5