发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Detection of micro contamination in hard disk drives using maximum likelihood estimation and angle detection 用最大似然估计和角度检测检测硬盘驱动器中的微污染
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748845
Jirarat Ieamsaard, P. Muneesawang, F. Sandnes
{"title":"Detection of micro contamination in hard disk drives using maximum likelihood estimation and angle detection","authors":"Jirarat Ieamsaard, P. Muneesawang, F. Sandnes","doi":"10.1109/JCSSE.2016.7748845","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748845","url":null,"abstract":"Micro contamination is one of the critical defects that occur on the head gimbal assembly (HGA). The HGA is a key component of the read/write assembly of a hard disk drive. This paper presents an image-based automatic inspection method for micro-contamination detection. Maximum likelihood estimation combined with angle measurements are proposed for identifying defects. The performance of the proposed maximum likelihood estimation and angle measurement method is compared to previous angle measurement and intensity thresholding methods. The experimental results show that the fusion of maximum likelihood estimation and angle measurements outperforms the angle measurement and intensity thresholding method with an accuracy of 87.9 % compared the accuracy of 80.1% reported in previous work.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126287050","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
Translation UML activity diagram into colored Petri net with inscription 翻译UML活动图到彩色Petri网与题词
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748883
Nattira Maneerat, W. Vatanawood
{"title":"Translation UML activity diagram into colored Petri net with inscription","authors":"Nattira Maneerat, W. Vatanawood","doi":"10.1109/JCSSE.2016.7748883","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748883","url":null,"abstract":"UML activity diagram is widely used to describe the behavior of the software system. Unfortunately, there is still no practical tool to verify the UML diagrams automatically. This paper proposes an alternative to translate UML activity diagram into a colored petri nets with inscription. The model translation rules are proposed to guide the automatic translation of the activity diagram with atomic action into a CPN model. Moreover, the relevant basic arc inscriptions are generated without manual elaboration. The resulting CPN with inscription is correctly verified as expected.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"27 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131270109","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
Application of logarithm, wavelet and contourlet transform for video-frame quality improvment 对数变换、小波变换和轮廓波变换在视频帧质量改进中的应用
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748909
Songpon Nakharacruangsak, M. Sodanil, S. Nitsuwat
{"title":"Application of logarithm, wavelet and contourlet transform for video-frame quality improvment","authors":"Songpon Nakharacruangsak, M. Sodanil, S. Nitsuwat","doi":"10.1109/JCSSE.2016.7748909","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748909","url":null,"abstract":"Video shot boundary detection is important step for the research in the content analysis and retrieval fields. In this paper, firstly we presented efficient method for Video-frame quality improvement to suppress flash occurred within video frame using logarithm, wavelet and contourlet transform. In addition, wavelet and contourlet transform also performed denoising. Secondly, for shot boundary detection, we used gray-scale histogram differences with edge change ratio. Furthermore, the adaptive threshold algorithm for shot transition detection was proposed. The experiment results showed that using logarithm with contourlet transform gain the precision and recall higher than using logarithm with wavelet transform.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243947","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
Thai to Isarn dialect machine translation using rule-based and example-based 使用基于规则和基于示例的泰语到伊萨尔语方言机器翻译
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748892
Paweena Unlee, Pusadee Seresangtakul
{"title":"Thai to Isarn dialect machine translation using rule-based and example-based","authors":"Paweena Unlee, Pusadee Seresangtakul","doi":"10.1109/JCSSE.2016.7748892","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748892","url":null,"abstract":"This paper presented a Thai to Isarn dialect machine translation, named ThaiIsarn - MT, using rule-based and example based. To develop the system, a Thai - Isarn dialect dictionary and linguistics rules database were constructed. The dictionary contained 8,050 Thai words. Moreover, an example bilingual corpus was constructed. Since Thai is non-segmented language, input sentence was segmented to sequence of word using longest matching algorithm. The Thai word was looked for the corresponding Isarn word from the dictionary. For word that may has several meanings, we used the rule based and example based to select the most suitable meaning. In order to evaluate the performance of the purposed system, 854 Thai sentences were translated by the system. The result shows that the translation accuracy is 82.44%.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115463445","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
Improvement flower pollination extreme learning machine based on meta-learning 基于元学习的花授粉极限学习机改进
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748871
Sarunyoo Boriratrit, S. Chiewchanwattana, K. Sunat, Pakarat Musikawan, Punyaphol Horata
{"title":"Improvement flower pollination extreme learning machine based on meta-learning","authors":"Sarunyoo Boriratrit, S. Chiewchanwattana, K. Sunat, Pakarat Musikawan, Punyaphol Horata","doi":"10.1109/JCSSE.2016.7748871","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748871","url":null,"abstract":"Extreme Learning Machine (ELM) model which learn very faster than other neural networks model but the solution was not suitable as expected since the randomness of the input weights and biases may cause to the nonfulfillment of solution. Flower Pollination Extreme Learning Machine (FP-ELM) model that it was merged by ELM and Flower Pollination Algorithm (FPA) to adjust the input weight and biases for improve performance of output weight when the input weight and biases were calculated. Nonetheless, FP-ELM may cause overfitting and more number of hidden nodes were used. In this paper, Meta Learning of Flower Pollination Extreme Learning Machine (Meta-FPELM) was proposed that compart the input weight, calculate to hidden nodes as FP-ELM and combine to the last output weight. In addition, the result of real word regression problems experiment of Meta-FPELM compared with state-of-the-art show that Meta-FPELM can overcome five-eighth in testing phase for all datasets.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116139569","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
Dynamic configuration of the computing nodes of the ALICE O2 system ALICE O2系统计算节点的动态配置
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748855
Krittaphat Pugdeethosapol, V. C. Barroso, K. Akkarajitsakul, Tiranee Achclakul
{"title":"Dynamic configuration of the computing nodes of the ALICE O2 system","authors":"Krittaphat Pugdeethosapol, V. C. Barroso, K. Akkarajitsakul, Tiranee Achclakul","doi":"10.1109/JCSSE.2016.7748855","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748855","url":null,"abstract":"The ALICE (A Large Ion Collider Experiment) Collaboration is preparing major upgrades for the detectors in 2020 in order to take advantage of the increased LHC Pb-Pb collision rate of up to 50 kHz. Together with these upgrades, the ALICE Online and Offline computing systems are being redesigned and upgraded to a new common system called O2. The system is made of a software framework and a computing facility. The concept of the framework consists of online reconstruction of the data from the ALICE detector and archival of the reconstructed data from the O2 system to permanent data storage. The design of the Control, Configuration, and Monitoring (CCM) is one of the key components of the O2 system. This paper focuses on the configuration module that will allow dynamic configuration of processes and environment parameters during runtime. Based on the current status of each machine used as a computing node, parameters can be tuned either manually or automatically in order to achieve optimum performance, utilization and efficiency of the O2 system.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129087311","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
Novel features for classification of hydrocephalus and cerebral atrophy 脑积水和脑萎缩分类的新特征
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748889
Manit Chansuparp, Annupan Rodtook, Suwanna Rasmequan, K. Chinnasarn
{"title":"Novel features for classification of hydrocephalus and cerebral atrophy","authors":"Manit Chansuparp, Annupan Rodtook, Suwanna Rasmequan, K. Chinnasarn","doi":"10.1109/JCSSE.2016.7748889","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748889","url":null,"abstract":"Present radiologic diagnosis of hydrocephalus (HC) are still the main concern for most researchers in the area. This is due to the fact that clinical symptoms and radiographic image of both Hydrocephalus (HC) and Cerebral Atrophy (CA) have similar characters. In this paper, we propose to use two new features: Sulci-Ratio (SR) and Frontal and Occipital Horn Angle (FOHA) together with typical features: Evans Ratio, Frontal and Occipital Horn Ratio and Ventricular Angle to classify between HC and CA. The experimental results show that Sulci-Ratios of HC and CA are difference. So this kind of ratio can help a lot in differentiate between HC and CA. The use of these two new features makes an attractive improvement as compare to most recent researches in the field. Those researches are mainly focus on the Ventricular which makes it more difficult to distinguish between HC and CA from MRI images. The performance of our methods is improved by 59% of true positive rate, 36.8% of false positive rate and 66.1% of F-measure from the classification of HC. In classification of CA is improved by 36.8%, 59% and 36.6% respectively.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122624543","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
Credibility based feedback for reputation computation in peer-to-peer file sharing network 基于可信度反馈的点对点文件共享网络信誉计算
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748924
Damche Dorji
{"title":"Credibility based feedback for reputation computation in peer-to-peer file sharing network","authors":"Damche Dorji","doi":"10.1109/JCSSE.2016.7748924","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748924","url":null,"abstract":"The Peer-to-Peer (P2P) networks are used in a wide range of application domains from file sharing to distributed computing. However, due to open and dynamic and the lack of centralized controlling authority, it provides an idle medium for selfish and malicious peers to exploit the network for their own benefits. This affects the performance, sustainability and future growth of P2P network. In P2P network, peers interact with unknown peers and does not know to what extent they can trust the other peer and the resources provided by them. In this paper, we propose credibility based feedback for reputation computation (CredRep) for a distributed P2P file sharing environment. Due to peer's dual roles in the network, we propose two reputations namely reputation as a requester and reputation as a resource provider. The former is computed using peer's resource contribution and feedback contribution; and the later is computed using feedbacks of other peers on the quality of resources shared by a peer. The reputation as a requester is used to detect and deter free riders and to overcome the feedback sparsity problem. The reputation as a resource provider is used to maintain the quality of resources available in the network. We have evaluated our proposed system by means of a simulation under different network environments. The simulation results show that our system can effectively detect free-riders and increase the probability of peers getting good quality resources.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128387363","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
A novel aggregation technique for multi-criteria recommendation 一种新的多标准推荐聚合技术
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748839
Tharathip Asawarangsee, Saranya Maneeroj
{"title":"A novel aggregation technique for multi-criteria recommendation","authors":"Tharathip Asawarangsee, Saranya Maneeroj","doi":"10.1109/JCSSE.2016.7748839","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748839","url":null,"abstract":"The traditional recommender system makes the recommendations using the overall ratings toward items provided by the users. However, the multi-criteria recommender system suggests that considering the effects of criteria ratings to the overall rating is the key to provide more personalized recommendations. In this work, a novel multi-criteria recommendation technique is proposed. The prediction from each criterion is made by considering the trade-off between the neighborhood-based and the model-based techniques. The effects of the criterion ratings to the overall rating are measured by the similarities among the user preference patterns, extracted from matrix factorization. The evaluation shows that our proposed method outperforms various well-known techniques on both single and multi-criteria recommendations.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114675879","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
An accident detection technique using inertial measurement unit and odometry 一种使用惯性测量单元和里程计的事故检测技术
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2016-07-01 DOI: 10.1109/JCSSE.2016.7748899
Korrakot Surakul, Sucha Smanchat
{"title":"An accident detection technique using inertial measurement unit and odometry","authors":"Korrakot Surakul, Sucha Smanchat","doi":"10.1109/JCSSE.2016.7748899","DOIUrl":"https://doi.org/10.1109/JCSSE.2016.7748899","url":null,"abstract":"Despite the prevention effort, car accident is still one of the major causes of death. Thus, to avoid as many casualties, helps and assistance should reach the accident sites as soon as possible. This can be enabled by quickly detecting the accidents and reporting them to the related official units. To this end, we propose an accident detection device using an inertial measurement unit (IMU) and 3G cellular module along with an accident detection method. Our detection approach combines both IMU sensory data and odometry in order to detect an accident and then send the accident coordinate over cellular network to be reported on a map. The preliminary result based on test scenarios proves the practicality of our approach with satisfactory detection rates.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131862613","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信