2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)最新文献

Pill image binarization for detecting text imprints 用于检测文本印迹的药丸图像二值化

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748859

Siroratt Suntronsuk, S. Ratanotayanon

引用次数: 9

Time-related vulnerability lookahead extension to the CVE CVE的时间相关漏洞前瞻扩展

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748927

Thanapon Bhuddtham, Pirawat Watanapongse

{"title":"Time-related vulnerability lookahead extension to the CVE","authors":"Thanapon Bhuddtham, Pirawat Watanapongse","doi":"10.1109/JCSSE.2016.7748927","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748927","url":null,"abstract":"Software scanning against the vulnerability database is one of the regular activities required by all information security management standards. However, the nature of the scanning system itself is reactive; a vulnerability has to be found, then the announcement made, with (and sometimes without) fixes. However, there exist classes of knowledge that are significant, reliable, and can be easily obtained, but are not represented in the vulnerability database. One such knowledge is the time-related vulnerabilities that signify the increasing risk of the system through time. We therefore explore the design and implementation in representing and appending this information, and thus propose an extension to the original Common Vulnerabilities and Exposures (CVE) database, called Time-Related Vulnerability Lookahead Extension to the CVE (T-CVE). This extension would complement the classical CVE in providing a publicly early-warning system so that the information security managers will be able to proactively assess their resources' C-I-A risks through trend analysis and will be able to mitigate them in a timely fashion. This work will initially focus on four proactive time-related information categories, namely the obsolete (software) platform, out-of-date (malware) signature, (hardware) degradation due to wear-and-tear, and (software) expiry. Obviously, other categories can later be similarly appended based on this framework.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116818958","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

A road to student cluster competition for Thailand 泰国学生集群竞赛之路

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748837

C. Chantrapornchai, P. Uthayopas

引用次数: 3

The surgical patient mortality rate prediction by machine learning algorithms 基于机器学习算法的外科病人死亡率预测

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748844

Piyatida Watcharapasorn, Nilubon Kurubanjerdjit

引用次数: 7

Synchronous virtual classroom for student with ADHD disorder 针对ADHD学生的同步虚拟教室

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748860

M. Ibrahim, P. Prasad, A. Alsadoon, L. Pham

{"title":"Synchronous virtual classroom for student with ADHD disorder","authors":"M. Ibrahim, P. Prasad, A. Alsadoon, L. Pham","doi":"10.1109/JCSSE.2016.7748860","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748860","url":null,"abstract":"This paper focuses on the ADHD disorders of students between 6-18 years old; the aim of this study is to find out what has been done with advanced technology for students with ADHD. Providing education for Students with learning disabilities is a significant challenge, as these types of students need special learning tools. Attention-deficit/hyperactivity disorder (ADHD) is a common type of disorder which causes learning difficulty and disability. Students with this kind of disorder usually have a limited span of attention, and they are easily distracted. In addition to the possibility of using advanced learning tools for enhancing teaching processes for students with ADHD, this paper evaluates current learning management systems (LMS) that are used in schools and investigates what should be modified in the current (LMS) to make them more helpful for students with ADHD. Research shows that students with ADHD can significantly benefit from the application of ICT tools for academic purposes. Advanced technologies can be used to improve the teaching process for these students through virtual learning; adding a virtual classroom at schools would be very helpful for these kinds of students especially if this classroom is designed well.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"87 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128948236","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

Offline Thai speech recognition framework on mobile device 移动设备上的离线泰语语音识别框架

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748894

P. Sertsi, Vataya Chunwijitra, Sila Chunwijitra, C. Wutiwiwatchai

引用次数: 3

Online music emotion prediction on multiple sessions of EEG data using SVM 基于支持向量机的多段脑电数据在线音乐情感预测

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748921

Kornraphop Kawintiranon, Yanika Buatong, P. Vateekul

{"title":"Online music emotion prediction on multiple sessions of EEG data using SVM","authors":"Kornraphop Kawintiranon, Yanika Buatong, P. Vateekul","doi":"10.1109/JCSSE.2016.7748921","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748921","url":null,"abstract":"Electroencephalogram (EEG) has been used in the domain of emotion recognition, especially during the experience from music stimulus. A number of works have been submitted with promising results in emotion prediction tasks. Unfortunately, the majority of literature did not sufficiently take into account a non-stationary characteristic of EEG signals which could differ in each recording session, and this issue might be underlying reason why such research could not be transferred into real-world application. In this paper, we are proposing a novel solution by introducing a method of normalization across session. In particular, we performed a comparison of several normalization techniques to explore various techniques to address the issue of non-stationary in EEG data. The three proposed techniques in this study are rescaling, z-score standardization, and frequency band percentage. In our experiment, we collected EEG data from ten subjects in two scenarios: consecutive session and time varied session. Our emotion prediction results suggested that z-score technique was superior to other normalization techniques based on using support vector machine (SVM). To encourage other researchers to test the efficiency of their own approach with multiple session data, our dataset is publicly provided.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126781906","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

Automatic multiple-choice question generation from Thai text 从泰语文本自动生成多项选择题

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748891

Chonlathorn Kwankajornkiet, A. Suchato, P. Punyabukkana

{"title":"Automatic multiple-choice question generation from Thai text","authors":"Chonlathorn Kwankajornkiet, A. Suchato, P. Punyabukkana","doi":"10.1109/JCSSE.2016.7748891","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748891","url":null,"abstract":"This paper presents a method for generating fill-in-the-blank questions with multiple choices from Thai text for testing reading comprehension. The proposed method starts from segmenting input text into clauses by tagging part-of-speech of all words and identifying sentence-breaking spaces. All question phrases are then generated by selecting every tagged-as-noun word as a possible answer. Then, distractors of a question are retrieved by considering all words having the same category with the answer to be distractors. Finally, all generated question phrases and distractors are scored by linear regression models and then ranked to get the most acceptable question phrases and distractors. Custom dictionary is added as an option of the proposed method. The experiment results showed that 81.32% of question phrases generated when a custom dictionary was utilized was rated as acceptable. However, only 49.32% of questions with acceptable question phrases have at least one acceptable distractor. The results also indicated that the ranking process and a custom dictionary can improve acceptability rate of generated questions and distractors.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121526376","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

GPU-based nonlocal smoothing for alpha matting 基于gpu的非局部平滑alpha抠图

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748887

T. Phoka, A. Sudsang

引用次数: 0

Energy-aware scheduling of multiple workflows application on distributed systems 分布式系统中多工作流应用的能量感知调度

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-13 DOI: 10.1109/JCSSE.2016.7748853

Thanawut Thanavanich, A. Siri, Kamol Boonlom, Anusorn Chaikaew, P. Uthayopas

{"title":"Energy-aware scheduling of multiple workflows application on distributed systems","authors":"Thanawut Thanavanich, A. Siri, Kamol Boonlom, Anusorn Chaikaew, P. Uthayopas","doi":"10.1109/JCSSE.2016.7748853","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748853","url":null,"abstract":"In this paper, the important issue of workflow scheduling on a large-scale distributed system, to achieve the scheduling quality and the energy consumption, is addressed. Since the traditional scheduling focused on minimizing the execution time and not takes the energy consumption into account, developing a scheduling for achieving both objectives has become a challenge issue. In addition, the computing resources are shared in the large-scale system, scheduling of multiple workflow application further complicate. The efficient multiple workflows scheduling with energy-aware is called EMuWS is addressed the challenge. The proposed algorithm, to efficiently determine the inefficient processors and shut them down for reducing computing resources, is adopted by the RE and cost function, which is the threshold of resource reduction. After a set of the efficient processors known, the workflow is rescheduled to assign fewer processors to attain more energy efficiency. The performance of the proposed algorithm that is obtained by exhaustive examining the synthesis workflows and real-world data outperforms our previous work, compared from reducing the energy consumption ratio.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067060","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