2019 7th International Conference on Smart Computing & Communications (ICSCC)最新文献

Robust Transceiver Design for SWIPT Multicasting MIMO Relay System with Direct Link 直接链路SWIPT多播MIMO中继系统的鲁棒收发器设计

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843615

T. Tiong

引用次数: 0

Detecting Fake News using Machine Learning and Deep Learning Algorithms 使用机器学习和深度学习算法检测假新闻

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843612

Abdullah-All-Tanvir, Ehesas Mia Mahir, Saima Akhter, M. R. Huq

{"title":"Detecting Fake News using Machine Learning and Deep Learning Algorithms","authors":"Abdullah-All-Tanvir, Ehesas Mia Mahir, Saima Akhter, M. R. Huq","doi":"10.1109/ICSCC.2019.8843612","DOIUrl":"https://doi.org/10.1109/ICSCC.2019.8843612","url":null,"abstract":"Social media interaction especially the news spreading around the network is a great source of information nowadays. From one's perspective, its negligible exertion, straightforward access, and quick dispersing of information that lead people to look out and eat up news from internet-based life. Twitter being a standout amongst the most well-known ongoing news sources additionally ends up a standout amongst the most dominant news radiating mediums. It is known to cause extensive harm by spreading bits of gossip previously. Online clients are normally vulnerable and will, in general, perceive all that they run over web-based networking media as reliable. Consequently, mechanizing counterfeit news recognition is elementary to keep up hearty online media and informal organization. This paper proposes a model for recognizing forged news messages from twitter posts, by figuring out how to anticipate precision appraisals, in view of computerizing forged news identification in Twitter datasets. Afterwards, we performed a comparison between five well-known Machine Learning algorithms, like Support Vector Machine, Naïve Bayes Method, Logistic Regression and Recurrent Neural Network models, separately to demonstrate the efficiency of the classification performance on the dataset. Our experimental result showed that SVM and Naïve Bayes classifier outperforms the other algorithms.","PeriodicalId":181425,"journal":{"name":"2019 7th International Conference on Smart Computing & Communications (ICSCC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129694030","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: 77

Convolutional Deep Feedforward Network for Image Classification 图像分类的卷积深度前馈网络

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843642

Mian Mian Lau, Jonathan Then Sien Phang, K. Lim

{"title":"Convolutional Deep Feedforward Network for Image Classification","authors":"Mian Mian Lau, Jonathan Then Sien Phang, K. Lim","doi":"10.1109/ICSCC.2019.8843642","DOIUrl":"https://doi.org/10.1109/ICSCC.2019.8843642","url":null,"abstract":"Deep feedforward network (DFN) is a conceptual stepping stone of many well-known deep neural networks (DNN) in image classification and natural language application. The development on the standard DFN can rarely be found in the literature recently due to the popularity in convolutional networks. The recent trend of research focuses on the increment of the convolutional layers in a deeper and wider network architecture for achieving higher accuracy and lower misclassification rate. However, stacking the convolutional layers may not result in better accuracy due to the sparsity of interconnected of hidden nodes. In this paper, a convolutional deep feedforward network (C-DFN) is proposed to anlayse the performance of deep neural networks by increasing the number of fully-connected layers. C-DFN contains a Gabor-convolutional layer as a trainable feature extractor and followed by the four fully-connected layers. Experiments are conducted to evaluate the performance of proposed network with three other structures, i.e. deep belief network, deep feedforward network and convolutional deep belief network. The experimental results showed that C-DFN obtained the lowest average misclassfication rate of 9.41% in the image classification.","PeriodicalId":181425,"journal":{"name":"2019 7th International Conference on Smart Computing & Communications (ICSCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131001362","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

Mathematics Derivation and Simulation Modelling of Maximum Power Point Tracking based Controller for Quasi Z Source Inverter 准Z源逆变器最大功率点跟踪控制器的数学推导与仿真建模

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843689

K. H. Law, Wan Ning Loh, K. Wong

引用次数: 3

Protection Ratio Value for Digital Video Broadcasting-Second Generation Terrestrial in the Presence of White Space Device 第二代地面数字视频广播中存在空白空间设备的保护比值

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843605

D. Gunawan, Gusti Ayu Amanda Gita Saraswati, Lessy Sutiyono Aji

引用次数: 1

The Contextual Mapping of Smart City Characteristics with their Dimensions through Content Analysis Method 基于内容分析法的智慧城市特征及其维度的语境映射

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843602

H. Vasudavan, S. Mostafa, Saraswaty Shamini Gunasekaran, J. Dhillon, K. Chua

引用次数: 4

Out-of-Band Power Suppression for Cyclic SLM with Delayed Correlation and Matched Filter 带有延迟相关和匹配滤波器的循环SLM带外功率抑制

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843675

Panca Dewi Pamungkasari, F. Juwono, Nur Hayati, M. Ghavami

{"title":"Out-of-Band Power Suppression for Cyclic SLM with Delayed Correlation and Matched Filter","authors":"Panca Dewi Pamungkasari, F. Juwono, Nur Hayati, M. Ghavami","doi":"10.1109/ICSCC.2019.8843675","DOIUrl":"https://doi.org/10.1109/ICSCC.2019.8843675","url":null,"abstract":"Orthogonal frequency-division multiplexing (OFDM) has been used in many communication systems. However, OFDM suffers from undesirable high peak-to-average power ratio (PAPR) as it uses inverse discrete Fourier transform (IDFT) operation at the transmitter. One of the simplest schemes of the PAPR reduction is the cyclic-selective mapping (SLM). This paper presents cyclic-SLM without side information (SI) which employs delayed correlation with a matched filter (DC-MF) at the receiver. The cyclic-SLM combines the original OFDM signal and its cyclically shifted ones. In the previous conventional cyclic-SLM, the cyclically shifted signal samples are multiplied by a phase sequence which is drawn from Barker code sequence. However, this scheme results in higher out-of-band (OOB) power leakage. In this paper, we propose to use different phase sequence for each OFDM symbol in one OFDM frame to overcome the OOB problem. As a consequence, multiple matched filters are used at the receiver. Simulation results show that the proposed method has the same OOB as the conventional OFDM. In addition, we also analyze the performance of the proposed scheme in terms of the PAPR reduction and bit error rate (BER).","PeriodicalId":181425,"journal":{"name":"2019 7th International Conference on Smart Computing & Communications (ICSCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128761581","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

Robust Secure SWIPT MISO 强大的安全刷卡MISO

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843658

T. Tiong

引用次数: 1

Direct Fast Charging of Electric Vehicle Using Solar Power 利用太阳能直接快速充电的电动汽车

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843631

Cindy Poh Yuan Lai, K. H. Law, K. Lim

{"title":"Direct Fast Charging of Electric Vehicle Using Solar Power","authors":"Cindy Poh Yuan Lai, K. H. Law, K. Lim","doi":"10.1109/ICSCC.2019.8843631","DOIUrl":"https://doi.org/10.1109/ICSCC.2019.8843631","url":null,"abstract":"In present, environmental problems which originate from the consumption of fossil fuels caused emission of polluting gases into the atmosphere creating the need for change in mobility habits in today's daily life. Thus, companies and governments had made strong investments in the automotive sector especially in the development of electric vehicles (EVs) and the technologies associated with them. One of the technical issues that had been highlighted is the fast charging of EV batteries. Particularly, the usage of renewable energy systems to fast charge EV and lower the power demands from the grids are encouraged. This project aims to alleviate the current state of fast charging and environmental problems by proposing a high performance DC-DC boost converter controlled by PI controller. The proposed converter is able to generate different output power level based on the desired preset reference voltage value. For simplicity, EV batteries are being replaced with one resistor as a load whereas the input source of the converter is attained from PV panels. Keysight Technologies measurement tools will be utilized to measure and validate the experimental results with the simulation one.","PeriodicalId":181425,"journal":{"name":"2019 7th International Conference on Smart Computing & Communications (ICSCC)","volume":"785 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132590088","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: 7

Mathematics Modelling and Simulation of Batteries Charging Capability in Quasi Z Source Impedance Network 准Z源阻抗网络中电池充电能力的数学建模与仿真

2019 7th International Conference on Smart Computing & Communications (ICSCC) Pub Date : 2019-06-28 DOI: 10.1109/ICSCC.2019.8843637

K. H. Law

{"title":"Mathematics Modelling and Simulation of Batteries Charging Capability in Quasi Z Source Impedance Network","authors":"K. H. Law","doi":"10.1109/ICSCC.2019.8843637","DOIUrl":"https://doi.org/10.1109/ICSCC.2019.8843637","url":null,"abstract":"Quasi Z-source inverter (qZSI) is a single stage topology suitable to be implemented in photovoltaic (PV) system. It is constructed by the series connection of a quasi Z-source (qZS) impedance network and an H-bridge inverter; as a result, no switching element and resistor are needed in the DC-link network. In addition, qZSI offers twice the amount of DC output power than its DC input power when compared to the traditional DC-AC boost inverter. Nevertheless, PV cells provide fluctuating DC power due to the unstable solar irradiance and temperature during the day. In this paper, a battery paralleled with one of the DC capacitors in qZS network is investigated to smoothen the fluctuation of PV power. A control scheme is also proposed to ensure stable DC-link voltage as well as the effectiveness of charging and discharging the battery according to the DC input voltage level. For simplicity, variable DC voltage source is used to simulate the inconstant PV voltage and to investigate the performance of the proposed battery charging controller. All theoretical findings are validated with simulation results using Matlab/Simulink software package.","PeriodicalId":181425,"journal":{"name":"2019 7th International Conference on Smart Computing & Communications (ICSCC)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127317355","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