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2018 3rd International Conference on Computer and Communication Systems (ICCCS)最新文献

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Twitter Topic Modeling on Football News 足球新闻的推特话题建模
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463231
A. Hidayatullah, Elang Cergas Pembrani, Wisnu Kurniawan, Gilang Akbar, Ridwan Pranata
{"title":"Twitter Topic Modeling on Football News","authors":"A. Hidayatullah, Elang Cergas Pembrani, Wisnu Kurniawan, Gilang Akbar, Ridwan Pranata","doi":"10.1109/CCOMS.2018.8463231","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463231","url":null,"abstract":"Along with the development of social media today, Twitter has become the one of the social media that is used as a provider of current information about football. Football is the most popular sport in Indonesia. People always curious about some football news update, such as match prediction, match results, transfer, rumors, etc. In this paper, we apply topic modeling to determine the topic of the tweets about football news in Bahasa Indonesia. The data used in this study were taken from several official Indonesian Twitter accounts that always update about the football and we have selected before. Latent Dirichlet Allocation (LDA) was used as the topic modeling method to determine what kind of topics on Twitter. According to the content analysis, we obtained several insightful topics such as pre-match analysis, live match update, football club achievements, etc. Generally, the topics posted by the Twitter account of football news provider give information about football competition in some countries such as Indonesia, England, Spain, Italia, and Germany.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122055258","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: 18
Quantum Rough Counting and Its Application to Grover's Search Algorithm 量子粗糙计数及其在Grover搜索算法中的应用
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463331
Naphan Benchasattabuse, P. Chongstitvatana, Chatchawit Apomtewan
{"title":"Quantum Rough Counting and Its Application to Grover's Search Algorithm","authors":"Naphan Benchasattabuse, P. Chongstitvatana, Chatchawit Apomtewan","doi":"10.1109/CCOMS.2018.8463331","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463331","url":null,"abstract":"We propose in this paper a rough counting algorithm and modified version of Grover's search algorithm. The proposed counting algorithm uses Deutsch-Jozsa's algorithm to roughly estimate the number of items satisfying some search conditions by reconstructing the output distribution. The modified Grover's search combines the counting into one part of the algorithm and uses the counting result to determine the number of Grover's iterations taken to get such items. We provide an analysis of expected probability of the proposed algorithm taking into account the problem size, the number of satisfying items and the query complexity to show that the proposed modified Grover's search is optimal.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121516608","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
Analysis of LoRaWAN technology in an Outdoor and an Indoor Scenario in Duisburg-Germany LoRaWAN技术在室外和室内场景下的分析
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463224
Mohammad Mohammadi Erbati, Gregor Schiele, Gerd Batke
{"title":"Analysis of LoRaWAN technology in an Outdoor and an Indoor Scenario in Duisburg-Germany","authors":"Mohammad Mohammadi Erbati, Gregor Schiele, Gerd Batke","doi":"10.1109/CCOMS.2018.8463224","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463224","url":null,"abstract":"Low Power Wide Area Network (LPWAN) technology is a new technology that is nowadays drawing a lot of attention in the Internet of Things (IoT) segment. In this study, we analyze the behavior of LoRaWAN technology in urban settings in both an indoor and an outdoor scenario, with respect to parameters such as Received Signal Strength Indicator, Signal to Noise Ratio, Packet Delivery Rate, Coverage, and Deep Indoor Penetration. The results are presented with different Spreading Factors (SF7 to SF12) in an indoor analysis. We built a private LoRaWAN gateway with the help of an IC880a concentrator board. The experiments took place in urban settings with frequency noises and obstacles, such as tall buildings, trees, cars, and people. We compared our study results in Duisburg-Germany downtown with related studies.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129385419","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: 11
Doppler Shift Measurement Using Complex-Valued CSI of WiFi in Corridors 利用走廊WiFi复值CSI测量多普勒频移
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463285
Dandan Yang, Tao Wang, Yanzan Sun, Yating Wu
{"title":"Doppler Shift Measurement Using Complex-Valued CSI of WiFi in Corridors","authors":"Dandan Yang, Tao Wang, Yanzan Sun, Yating Wu","doi":"10.1109/CCOMS.2018.8463285","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463285","url":null,"abstract":"This paper presents a novel approach to measure indoor Doppler shift (which is generally neglected) based on Channel State Information (CSI) using WiFi. Our approach is motivated by the fact that the CSI provided by a commercially available measurement tool is complex-valued, and therefore the Fast Fourier Transform (FFT) of CSI is not conjugate-symmetric. After establishing a CSI acquisition system, we process CSI data guided by theoretical derivation under different corridor scenarios and finally obtain the Doppler shift of different relative motions. Our results demonstrate that this method of measuring Doppler shift could be applied to further research on crowd counting or human activity recognition based on WiFi.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133885438","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
Aspect Analysis of Cebu Establishments' Online Reviews using k-means Clustering and word2vec 基于k-means聚类和word2vec的宿雾餐饮业在线评价方面分析
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463246
Kris Capao, Ken Gorro, Kim D. Gorro, M. J. Sabellano, C. Militante, Justin Paul C. Manalili
{"title":"Aspect Analysis of Cebu Establishments' Online Reviews using k-means Clustering and word2vec","authors":"Kris Capao, Ken Gorro, Kim D. Gorro, M. J. Sabellano, C. Militante, Justin Paul C. Manalili","doi":"10.1109/CCOMS.2018.8463246","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463246","url":null,"abstract":"Customer reviews are important part to any business. With the development of the technology, customer reviews are usually found on the internet. In this study, online reviews from different Cebu establishments were gathered using selenium as web scraper. A total of 3776 online reviews were gathered. Word2vec and k-means clustering were utilized to analyze and discover different online review corpora. To identify the best number of clusters, a series of experiments were conducted to find for the best Silhouette coefficient. For better analysis of k-means clustering, open coding was used to understand the significant qualitative codes. Based on the k-means clustering results, the following qualitative codes were identified: time, staff, friendly, service, affordable, love, food, price, ambiance, good, great, relax. Analyses of the clusters show that quality service, tasty and affordable food and good atmosphere are the significant aspect that the online reviews are concerned. Based on the word2vec results, the researchers focused on the following words: Waiters, relax, great, ambiance, service and tasty. The results of the study provide meaningful insights on the group of words obtained using the analogy to word2vec model, as well as the subject focus of the categories.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125940505","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
Electricity Price Prediction for Geographically Distributed Data Centers in Multi-Region Electricity Markets 多区域电力市场中分布式数据中心的电价预测
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463272
Moh Moh Than, T. Thein
{"title":"Electricity Price Prediction for Geographically Distributed Data Centers in Multi-Region Electricity Markets","authors":"Moh Moh Than, T. Thein","doi":"10.1109/CCOMS.2018.8463272","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463272","url":null,"abstract":"Geographically distributed data centens (GDCs) serving as infrastructures for cloud services, are growing in both number and scale. They usually consume enormous amount of electric power, which lead to high operational costs and this has been recognized as a main challenge in cloud computing. Energy cost can be reduced by directing the requests to the favor of data center with lower electricity price by incorporating spatially and temporally price diversity, especially in the multi-region electricity markets. If the electricity prices of data centers are predicted in advance, the cloud provider can reduce energy cost. An efficient electricity price prediction is needed for minimizing electricity bill of GDCs. This paper proposes electricity price prediction for GDCs in multi-region electricity markets. Experiment is conducted on real-life electricity price data sets with machine learning algorithms. By comparatively assessing the prediction accuracy of the models, the most accurate one is selected. Experiment results show that the prediction model can provide promising accuracy.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130364298","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
Fast Object Detection for Quadcopter Drone Using Deep Learning 基于深度学习的四轴无人机快速目标检测
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463284
W. Budiharto, A. A. Gunawan, J. Suroso, Andry Chowanda, Aurello Patrik, Gaudi Utama
{"title":"Fast Object Detection for Quadcopter Drone Using Deep Learning","authors":"W. Budiharto, A. A. Gunawan, J. Suroso, Andry Chowanda, Aurello Patrik, Gaudi Utama","doi":"10.1109/CCOMS.2018.8463284","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463284","url":null,"abstract":"The paper presents our research progress in the development of object detection using deep learning based on drone camera. The grand purpose of our research is to deliver important medical aids for patients in emergency situations. The case can be simplified into delivery of an item from start to the goal position. We will exploit the drone technology for transporting items efficiently. In sending process, our drone must detect the object target, where the items will be delivered. Therefore, we need object detection module that can detect what is in video stream and where the object is by using GPS as well. To implement the module, we use combination of MobileNet and the Single Shot Detector (SSD) framework for fast and efficient deep learning-based method to object detection. The ability of deep learning to detect and localize specific objects is studied by conducting experiments using drone camera and, as comparison, using stereo camera Minoru.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117207561","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: 29
Machine Learning-Based Framework for the Analysis of Project Viability 基于机器学习的项目可行性分析框架
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463271
Jean Marie Tshimula, A. Togashi
{"title":"Machine Learning-Based Framework for the Analysis of Project Viability","authors":"Jean Marie Tshimula, A. Togashi","doi":"10.1109/CCOMS.2018.8463271","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463271","url":null,"abstract":"We constructed a machine learning based analytical framework for transforming the project data of African Development Bank (AfDB) into actionable insights and for uncovering hidden business opportunities offered by markets in Africa. This framework helps identify skyrocketing sectors, emerging markets and fast-growing economies that have a massive impact in shaping the future of the continent. As a result of the foregoing, this has been implemented as an approach which predicts where investment needs are necessary. Furthermore, we collected a dataset containing more than 1,400 projects, where 92.9 percent of them have project descriptions and are relatively well-documented. We then loaded them into a single corpus for extracting tiny details relating to the business opportunities and giving investment directions to follow based on the promising sectors. We used Random Forests and Latent Dirichlet Allocation respectively to classify the most fruitful sectors for investments and to derive meaningful topics that potential investors might consider when investing in the continent.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117058282","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
Knowledge Sharing in Cooperative Compact Genetic Algorithm 协作紧凑遗传算法中的知识共享
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463341
Orakanya Gateratanakul, P. Chongstitvatana
{"title":"Knowledge Sharing in Cooperative Compact Genetic Algorithm","authors":"Orakanya Gateratanakul, P. Chongstitvatana","doi":"10.1109/CCOMS.2018.8463341","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463341","url":null,"abstract":"In this study, we present three methods of sharing knowledge between cooperative compact genetic algorithms. The methods exploit the effect of the worse solutions of the two-cooperative compact genetic algorithms to the search space which can prevent premature convergence. The benefit also encourages exploring other areas in solution space which enhance the opportunity to discover the better solutions. The proposed algorithm has a simple structure requires much less execution time than the non-sharing compact genetic algorithm.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115432721","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
A Secure Multi-Keyword Fuzzy Search with Polynomial Function for Encrypted Data in Cloud Computing 云计算中加密数据的多项式函数安全多关键字模糊搜索
2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-27 DOI: 10.1109/CCOMS.2018.8463248
I. Liu, Yu-Hsin Lin, Jung-Shian Li, W. Kuo, Chuan-Gang Liu
{"title":"A Secure Multi-Keyword Fuzzy Search with Polynomial Function for Encrypted Data in Cloud Computing","authors":"I. Liu, Yu-Hsin Lin, Jung-Shian Li, W. Kuo, Chuan-Gang Liu","doi":"10.1109/CCOMS.2018.8463248","DOIUrl":"https://doi.org/10.1109/CCOMS.2018.8463248","url":null,"abstract":"In recent years, cloud computing is a trend in the networking industry. Storing data in the cloud can alleviate the storage overhead and reduce the expense of both hardware and software for the individuals. However, until now, the users still cannot trust the cloud server completely, and hence the data is usually encrypted before them being sent to the cloud to ensure the data security. However, most of the keyword search approaches in cloud only support the exact keyword search and it is unpractical in reality. Further, keyword searching for encrypted data is also not easy. With the growth of the dataset in the cloud, for the users, to search the specific data by keyword search method becomes an important issue now. Compared to previous work, this paper proposes an efficient multi-keyword search with polynomial functions for encrypted data. Furthermore, it is also capable of searching the fuzzy word.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"649 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114096050","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
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