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Design of a Cyber-Physical Demonstration Using STEAM: Superconducting Chaotic Robots 利用STEAM:超导混沌机器人的网络物理演示设计
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443875
Pirapat Tangsuknirundorn, P. Sooraksa, P. Sooraksa
{"title":"Design of a Cyber-Physical Demonstration Using STEAM: Superconducting Chaotic Robots","authors":"Pirapat Tangsuknirundorn, P. Sooraksa, P. Sooraksa","doi":"10.1109/ICSEC.2017.8443875","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443875","url":null,"abstract":"In this paper, STEAM approach to create superconducting chaotic robots as a cyber-physical system is demonstrated. In science and technology viewpoints (S&T), Meissner's effect is a fascinating phenomenon leading students to be motivated and inspired to learn more about this macroscopic quantum effect. In engineering and artistic design (E&A), we utilize augmented reality to create a virtual octopus over a real environment. The virtual octopus is appeared whenever a superconducting phenomenon is detected. In other words, once a Meissner's effect is identified by a computer program on smartphones, then the octopus will chaotically floating over the superconductor disk in the real space. The octopus's trajectory can be mathematically (M) generated by any chaotic equation. Subjectively, the proposed CPS demonstration was impressed by computer engineering students in our classes.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"3148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127474148","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
Adaptive Classification for Spam Detection on Twitter with Specific Data 基于特定数据的Twitter垃圾邮件检测自适应分类
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443779
Thayakorn Dangkesee, S. Puntheeranurak
{"title":"Adaptive Classification for Spam Detection on Twitter with Specific Data","authors":"Thayakorn Dangkesee, S. Puntheeranurak","doi":"10.1109/ICSEC.2017.8443779","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443779","url":null,"abstract":"At present, the popularity of Twitter is more and more increasing. Many users can find information that tweets to Twitter. Some information is beneficial, and at the meantime, some information is created from spammers who would like to promote their websites or services. They are harmful to normal users by using the Twitter channel to exploit common user interests, such as sharing malicious links and ads. In order to stop spammers, many researchers have proposed tools to filter those junk. However, the focus of recent works is how to create streaming spam detection methods. In this paper, we proposed the adaptive data classification for spam detection by using spam word lists and a commercial URL-based security tool. We analyzed data by Naïve Bayes algorithm with both data types including all data and specific data. It can help to improve the performance of the spam detector is better than usual. We can show our proposed methods fulfillment in the experiments result.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122574608","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: 6
Image Denoising Based on Structural BIMF 基于结构BIMF的图像去噪
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443804
Taravichet Titijaroonroj, K. Woraratpanya
{"title":"Image Denoising Based on Structural BIMF","authors":"Taravichet Titijaroonroj, K. Woraratpanya","doi":"10.1109/ICSEC.2017.8443804","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443804","url":null,"abstract":"Image denoising is an important process for image analysis. It is always a pre-processing step before feeding its result to the next process. Although many papers based on statistical filter are presented for noise reduction, those still need to improve the quality of image. Bidimensional empirical mode decomposition (BEMD) is an adaptive image analysis method without a prior function for non-linear and non-stationary images in many applications. One of them is image denoising. The BEMD method can reduce the information loss by separating the noised and fundamental components into different bidimensional intrinsic mode function (BIMF) components. This makes it to be effective and flexible method. Therefore, this paper proposes image denoising based on structural BIMF. The proposed method not only removes the noise from noised image but also retrieves the main structure from noised image. Based on 44 noised images, the experimental results demonstrate that the performance of the proposed method outperforms that of baseline methods in terms of image quality assessments: PSNR, Qi, and TAA.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117321351","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
A New Method of Gait Recognition by Human Joint Projection and Closest Distance Technique 基于关节投影和最近距离技术的步态识别新方法
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443945
Phakjira Sombatpiboonporn, Patsama Charoenpong, T. Charoenpong
{"title":"A New Method of Gait Recognition by Human Joint Projection and Closest Distance Technique","authors":"Phakjira Sombatpiboonporn, Patsama Charoenpong, T. Charoenpong","doi":"10.1109/ICSEC.2017.8443945","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443945","url":null,"abstract":"Smart home is an alternative function in present accommodation. Many technologies are developed for smart home. Human gait recognition system for indoor area is applied for monitoring purpose such as elder health care system. However, simple and effective algorithm is necessary for real-world applications. In this paper, we propose a new method of human gait identification system for indoor area by using human joints projection and closest distance technique. The algorithm consists of four step: image sequence acquisition, human joints segmentation, human joints projection and gait recognition. Firstly, human 2D sequence image is acquired. Red nine markers are attached on human joints. Secondly, markers are extracted by color thresholding technique. Human joints are then tracked. Third, such joints is projected in a dimension. Finally, Euclidean distance technique is used to compare two 2D human points between test data and train data. Human gait is recognized by the closest distance. To evaluate the proposed method, fifteen subjects walk pass 2D camera in same one way. A subject was tested three time. Average accuracy rate is 95.55%. This method perform effectively. The advantages of this method over existing methods is simple algorithm and effective for small size of target as using in accommodation.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115478425","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
License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions 不同角度条件下缅甸车辆图像车牌检测
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443908
O. Khin, M. Phothisonothai, S. Choomchuay
{"title":"License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions","authors":"O. Khin, M. Phothisonothai, S. Choomchuay","doi":"10.1109/ICSEC.2017.8443908","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443908","url":null,"abstract":"It has been studied that there is no established LPR (License Plate Recognition) to detect and identify the license plates from dissimilar angles. The aim of the paper is to detect the dissimilar angles of the license plate with the non-fixed LPR system. Therefore, the horizontal and vertical dilation, skew angle detection and automatic bounding box have been proposed to detect the license plate. The proposed method has been applied to the four different types of Myanmar license plates, e.g., private cars, taxi, tour buses and religion cars. One car each is taken into four different types of angles on the dissimilar conditions. Experimental result indicated that this method can detect the disparate types of license plates with a high accuracy, i.e., the proposed approach achieved a favorable outcome rate of 97% at 100 license plates.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116221712","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
Prediction of Binary Labels for Edges in Signed Networks: A Random-Walk Based Approach 有符号网络中边缘二值标记的预测:一种基于随机行走的方法
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443889
Mukul Gupta, Rajhans Mishra
{"title":"Prediction of Binary Labels for Edges in Signed Networks: A Random-Walk Based Approach","authors":"Mukul Gupta, Rajhans Mishra","doi":"10.1109/ICSEC.2017.8443889","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443889","url":null,"abstract":"Mining of signed networks where the links/edges between nodes have a positive or negative sign/label, is getting the attention of researchers and practitioners due to its wide realworld applicability in various domains. Label prediction for nodes in a network is a well-known and explored problem. However, the prediction of labels for edges in a network is relatively less explored, and very challenging and interesting problem. In this paper, we consider the problem of binary label prediction for edges in undirected and unweighted networks. The prediction of binary labels has a number of applications in realworld like friend/foe prediction, recommendation, trust/distrust prediction in social networks, and categorization. In this work, a semi-supervised approach is proposed that uses the concept of random-walk for prediction of binary labels for edges. In this paper, we demonstrate the viability and the effectiveness of the proposed approach using a real-world network.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126739881","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
Trend Analysis in the Trajectory of the Dementia Patients 痴呆患者发展轨迹的趋势分析
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443918
Ashish Kumar, C. Lau, M. Ma, Syin Chan, W. Kearns
{"title":"Trend Analysis in the Trajectory of the Dementia Patients","authors":"Ashish Kumar, C. Lau, M. Ma, Syin Chan, W. Kearns","doi":"10.1109/ICSEC.2017.8443918","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443918","url":null,"abstract":"Studies of the navigational patterns of assisted living facility residents with dementia have resulted in many insights into the progression of dementia e.g. more tortuous navigation has been associated with declining mental capability. In this pilot investigation, we found minute changes in navigational features such as speed, path-efficiency, angle-turn and, ambulation-fraction were predictive of cognitive function. In this study, navigational data of 10 subjects living in an assisted living facility were collected daily over a period of one year using an Ultrawideband real-time location system with an accuracy of 20cm at 1Hz, and compared with their cognitive status as measured by the Mini Mental State Exam. Two patients evidenced significant linear trends in angle-turn and path-efficiency with the maximum variability captured by angle-turn (14.7% and 11.7%). Both subjects were later found to have very low MMSE value (6 and 9 respectively).","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124945351","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
Epidemic Algorithms on Distributed Systems Towards Industry 4.0 面向工业4.0的分布式系统流行算法
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443937
P. Poonpakdee, J. Koiwanit, C. Yuangyai
{"title":"Epidemic Algorithms on Distributed Systems Towards Industry 4.0","authors":"P. Poonpakdee, J. Koiwanit, C. Yuangyai","doi":"10.1109/ICSEC.2017.8443937","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443937","url":null,"abstract":"In today changing world, with the advent of technology and a challenging competition, reliable information methodologies and tools are required to collaborate big data and various components in both vertical and horizontal integrations over the value chain. Cyber-Physical System or CPS is one of available technologies serving industries' needs and desires. However, its important properties are required to be investigated to fully understand its characteristics and performance. This study present an epidemic-based communication and the results show that the base station could obtain the higher accuracy of the information while the method was adopted.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122675351","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
Improving ID3 Algorithm by Using A* Search 用A*搜索改进ID3算法
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443800
Nicha Kaewrod, K. Jearanaitanakij
{"title":"Improving ID3 Algorithm by Using A* Search","authors":"Nicha Kaewrod, K. Jearanaitanakij","doi":"10.1109/ICSEC.2017.8443800","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443800","url":null,"abstract":"ID3 is one of the most widely used algorithms for creating a classification decision tree. However, the traditional ID3 algorithm has a difficulty when there are equally important attributes during the decision node construction. It randomly selects one of the most important attributes to serve as the current decision node. This behavior may lead to the resulting decision tree which contains unnecessary depths and suboptimal accuracy. The purpose of this paper is to find the near optimal depth decision tree of the dataset, which contains an equally important attributes problem, by using the A-Star (A*) search. The experiment results on four standard datasets from UCI indicate that the proposed algorithm can significantly reduce the decision tree's depth and still maintain the classification accuracy.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"9 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120906518","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
Use of CMIP3 and CMIP5 Climate Models to Simulate Change Discharge in the Chao Phraya River Basin 利用CMIP3和CMIP5气候模式模拟湄南河流域变化流量
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443879
Thannob Aribarg, C. Kimpan, Seree Supratid
{"title":"Use of CMIP3 and CMIP5 Climate Models to Simulate Change Discharge in the Chao Phraya River Basin","authors":"Thannob Aribarg, C. Kimpan, Seree Supratid","doi":"10.1109/ICSEC.2017.8443879","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443879","url":null,"abstract":"Climate change that coincides with global warming is generating enormous damages to many countries. The 2011 large-scale floods over the Chao Phraya River Basin is the worst floods ever recorded in Thailand, and the estimated damages by World Bank at US$ 46.5 billion. Although efforts have been made to mitigate the flood damage in the Chao Phraya River Basin through several structural measures, flooding still causes much more impact as a result of deforestation, farmland expansion and urban development. In this study, the impact of climate change on the discharge in the Chao Phraya River Basin is analyzed, using nonlinear autoregressive neural network with exogenous input (NARX) model. Future climate data were extracted from phase 3 and phase 5 of Coupled Model Intercomparison Project (CMIP3 and CMIP5) under the greenhouse gas emission scenarios: B1, A2, RCP4.5, and RCP8.5. The future precipitation was downscaled using the Distribution Mapping. Using NARX, future monthly dischagre was predicted at Nakhon Sawan for the period 2010 - 2099. Depending on the emission scenario, the projected discharge for future periods are shown to increase in overall. However, there are decreasing discharge in the near future and the mid future periods under B1 emission scenario. These findings suggest that the risks of climate change in the Chao Phraya River Basin will affect on millions of people, social and environment.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114377136","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
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