2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)最新文献

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Authenticating physical location using QR codes and network latency 使用QR码和网络延迟验证物理位置
Charles Allen, A. Harfield
{"title":"Authenticating physical location using QR codes and network latency","authors":"Charles Allen, A. Harfield","doi":"10.1109/JCSSE.2017.8025952","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025952","url":null,"abstract":"QR codes are increasingly being used as a mechanism to transmit one time passwords (OTPs) between devices for the purpose of authentication due to their convenience, low cost, and the ubiquity of consumer mobile devices. Existing practice typically utilizes a single QR code which is relatively easy to capture and relay to an offsite attacker or collaborator. We propose a mechanism using a stream of rapidly changing QR codes that maintains the convenience, ubiquity, and low cost of the standard approach, while aiming to eliminate the viability of relay attacks. We test this setup using a university class attendance scenario and successfully distinguish between valid physically present users and invalid offsite attackers.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"52 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79862444","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: 5
Multi-role identification of sentences using Relevance Vector Space 基于关联向量空间的句子多角色识别
A. Prayote, Watcharet Kuntichod
{"title":"Multi-role identification of sentences using Relevance Vector Space","authors":"A. Prayote, Watcharet Kuntichod","doi":"10.1109/JCSSE.2017.8025946","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025946","url":null,"abstract":"This paper presents a solution to classifying sentences with multi-labels. This problem is an essential part to a semantic search process. Sentences or keywords with correctly automated labelling can enhance the efficiency and performance of the search. The technique introduces a vector space of relevance for keywords and sentences with necessary operations. Concepts and motivation are explained with mathematical models for the two vectors and their operations. Experiments of multi-role identification of sentences are conducted with abstracts of scientific articles. Procedures of executing models in the experiment are explained step by step. In comparison, nine other techniques of multi-label classification are used on the same data set. The evaluation is done on 4-fold cross validation basis. The study reveals a successful result of multi-role identification of sentences with higher accuracy than other nine techniques.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"49 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78850596","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
Source code classification using Neural Networks 源代码分类使用神经网络
Shlok Gilda
{"title":"Source code classification using Neural Networks","authors":"Shlok Gilda","doi":"10.1109/JCSSE.2017.8025917","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025917","url":null,"abstract":"Programming languages are the primary tools of the software development industry. As of today, the programming language of the vast majority of the published source code is manually specified or programmatically assigned based solely on the respective file extension. This work shows that the identification of the programming language can be done automatically by utilizing an artificial neural network based on supervised learning and intelligent feature extraction from the source code files. We employ a multi-layer neural network - word embedding layers along with a Convolutional Neural Network - to achieve this goal. Our criteria for an automatic source code identification solution include high accuracy, fast performance, and large programming language coverage. The model achieves a 97% accuracy rate while classifying 60 programming languages.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"45 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89434314","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: 27
Pre-impact fall detection approach using dynamic threshold based and center of gravity in multiple Kinect viewpoints 在多个Kinect视点中使用基于动态阈值和重心的预碰撞摔倒检测方法
Nuth Otanasap, P. Boonbrahm
{"title":"Pre-impact fall detection approach using dynamic threshold based and center of gravity in multiple Kinect viewpoints","authors":"Nuth Otanasap, P. Boonbrahm","doi":"10.1109/JCSSE.2017.8025955","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025955","url":null,"abstract":"One of the primary reasons of injury related to death not only in elderlies but also in young people is slip trip and fall accidents. It will be very useful if fall accidents can be detected in pre-fall and critical fall phase long enough before the human body impact to the floor. Pre-impact fall detection method and lead time before impact are very important factors that has been used to save a person who takes risks. In this paper, multiple viewpoints in vision based sensing that provided by multiple Kinect© sensors using dynamic threshold based and center of gravity are proposed. Pre-fall detection alert will be triggered by acceleration of head position compared with dynamic threshold based approach and range of center of gravity compared with base of support area. Moreover using blinding technique without video stream recording is one of useful feature in our vision based approach for reducing privacy issue. Not only fall actions but also a series of normal activities in daily living such as sitting, bending and laying were performed by 10 young adult volunteers. Results from the experiments indicate that the proposed method lead time is about 500 milliseconds which is faster than previous proposition and it is appropriate for airbags inflation triggering.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"26 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85815106","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: 5
Measuring data locality ratio in virtual MapReduce cluster using WorkflowSim 利用WorkflowSim测量虚拟MapReduce集群中的数据局部性比
Peerasak Wangsom, K. Lavangnananda, P. Bouvry
{"title":"Measuring data locality ratio in virtual MapReduce cluster using WorkflowSim","authors":"Peerasak Wangsom, K. Lavangnananda, P. Bouvry","doi":"10.1109/JCSSE.2017.8025944","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025944","url":null,"abstract":"The data locality is significant factor which has a direct impact on the performance of MapReduce framework. Several previous works have proposed alternative scheduling algorithms for improving the performance by increasing data locality. Nevertheless, their studies had focused the data locality on physical MapReduce cluster. As more and more deployment of MapReduce cluster have been on virtual environment, a more suitable evaluation of MapReduce cluster may be necessary. This study adopts a simulation based approach. Five scheduling algorithms were used for the simulation. WorkflowSim is extended by inclusion of three implemented modules to assess the new performance measure called ‘data locality ratio’. Comparison of their results reveals interesting findings. The proposed implementation can be used to assess ‘data locality ratio’ and allows users prior to efficiently select and tune scheduler and system configurations suitable for an environment prior to its actual physical MapReduce deployment.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"41 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76470196","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
Separation of abnormal regions on black gram leaves using image analysis 利用图像分析方法分离黑克兰叶片异常区域
Pavit Noinongyao, U. Watchareeruetai, Puriwat Khantiviriya, Chaiwat Wattanapaiboonsuk, S. Duangsrisai
{"title":"Separation of abnormal regions on black gram leaves using image analysis","authors":"Pavit Noinongyao, U. Watchareeruetai, Puriwat Khantiviriya, Chaiwat Wattanapaiboonsuk, S. Duangsrisai","doi":"10.1109/JCSSE.2017.8025951","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025951","url":null,"abstract":"This paper proposes an image analysis method for separating abnormal regions caused by nutrient deficiencies on plants' leaves. The proposed method analyzes a histogram of normal leaves' colors to identify abnormalities on leaves. It can be divided into three main steps. Firstly, color features of leaf region in an input image are computed. Secondly, for each pixel, its color features are compared to the corresponding bin in the histogram to determine whether the pixel is abnormal. Finally, a post-processing technique is then applied to reduce noises in the result. Experiments have been conducted using black gram (Vigna mungo) leaves with five different nutrient deficiencies. The experimental results show that the proposed method can separate abnormal regions with an accuracy of above 90%.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"7 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86123735","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: 8
Generalization of a mental rotation skill in humanoid robots 类人机器人心理旋转技巧的推广
Kristsana Seepanomwan
{"title":"Generalization of a mental rotation skill in humanoid robots","authors":"Kristsana Seepanomwan","doi":"10.1109/JCSSE.2017.8025925","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025925","url":null,"abstract":"This work demonstrates how generalization ability can be integrated into a neural network model of mental rotation. The model was validated with a physical humanoid robot, the iCub, as simulated participants. The results confirm that the proposed model is capable of solving a mental rotation task consisting of a number of unseen stimuli. Furthermore, characteristic of response time profiles and error rates replicates the same fashion as found in human participants. Mechanisms underlie the successes are forward model training and matching processes, both are independent of objects' identity. This work could benefit robotic applications e.g., planning, decision-making, in which the results of any actions can be seen before really performing them.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"602 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77626699","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
Measuring difficulty levels of JavaScript questions in Question-Answer Community based on concept hierarchy 基于概念层次来衡量问答社区中JavaScript问题的难度等级
Neung Viriyadamrongkij, T. Senivongse
{"title":"Measuring difficulty levels of JavaScript questions in Question-Answer Community based on concept hierarchy","authors":"Neung Viriyadamrongkij, T. Senivongse","doi":"10.1109/JCSSE.2017.8025945","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025945","url":null,"abstract":"Online inquiry communities such as Question-Answer Communities (QAC) have captured interest of online users since they can share and search for any information from any place in the world. The number of questions and answers submitted to a popular community can increase rapidly, and that can make it difficult for users who look for the “right” questions to answer. That is, from the view of knowledgeable experienced users, they tend to look for hard challenging questions as an opportunity to share their knowledge and to build respect with the community. Hence it is desirable to distinguish difficult questions from easy ones. Current researches estimate complexity of questions based on the analysis of the features of the QAC without considering the contents of the questions. This paper presents a method to measure question difficulty levels based directly on the question contents. In particular, we analyze the difficulty of terms that appear in a JavaScript-related question, based on the proposed JavaScript concept hierarchy. In an evaluation of the performance of the question difficulty estimation, our concept-based measure gives similar performance to that of the existing measure based on the features of the QAC, but when they are used together, the performance can be enhanced.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85653389","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: 8
Queuing-aware Routing Algorithm in Software Defined Networks 软件定义网络中的排队感知路由算法
P. Chumcharoen, Kiattikun Kawila, K. N. Nakorn, K. Rojviboonchai
{"title":"Queuing-aware Routing Algorithm in Software Defined Networks","authors":"P. Chumcharoen, Kiattikun Kawila, K. N. Nakorn, K. Rojviboonchai","doi":"10.1109/JCSSE.2017.8025937","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025937","url":null,"abstract":"Routing Algorithm is an important mechanism which decides data transferring path in a network. Several existed routing algorithms are derived from a fundamental of graph theory with shortest path approach. A lot of additional network metrics were applied to serve the best quality of service (QoS) to end devices. However, a selected path from the existed algorithms can suffer from additional end-to-end latency for long time periods when the number of traffic flows increases. This situation is called the bufferbloat problem which is caused by excessively large queue in buffer. In this paper, we proposed a novel queuing-aware routing algorithm in software defined networks. The proposed algorithm leverages a capability of centralized system to gather directly the buffering information in real-time to calculate the shortest path with acceptable buffering occupancy level. The simulation result shows that the proposed algorithm outperforms the traditional shortest path approach in term of overall throughput significantly.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"25 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85671853","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
Encouraging water management in local communities through Living Weir 3D animations 通过Living Weir 3D动画鼓励当地社区的水管理
Sasithorn Rattanarungrot, S. Chaisriya, Patibut Preeyawongsakul, Patiwat Ketlertprasert, Nattacha Silakun
{"title":"Encouraging water management in local communities through Living Weir 3D animations","authors":"Sasithorn Rattanarungrot, S. Chaisriya, Patibut Preeyawongsakul, Patiwat Ketlertprasert, Nattacha Silakun","doi":"10.1109/JCSSE.2017.8025940","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025940","url":null,"abstract":"This paper presents the process of developing Living Weir 3D animations used for supporting water appreciation and management in local communities. The living weir is an innovative water management system that allows people in the communities to contribute and take responsibility in maintaining and organizing their living weirs and water supply. In addition, the animations have been published on YouTube where they can be easily accessed and shared. The main idea of the Living Weir 3D animations is enhancing the understanding about living weirs and encouraging water management for sustainable use. The animation production starts with data collection that is accomplished by gathering information such as daily routine related to water consumption, ecosystem and the built living weirs from people who live in the community. The next step is analyzing data and storyboarding where the collected data is transformed into stories, scripts and storyboards. The final step is creating 3D aminations from the designed storyboards.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89209004","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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