2016 8th International Conference on Knowledge and Smart Technology (KST)最新文献_第6页

Automated segmentation of erythrocytes from Giemsa-stained thin blood films 吉姆萨染色血膜中红细胞的自动分割

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440503

Pargorn Puttapirat, M. Phothisonothai, S. Tantisatirapong

引用次数: 3

Suitable altitude for long-operated communication high altitude balloon with experimental flights 适合长航通讯高空气球实验飞行的高度

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440494

Pirada Techavijit, S. Chivapreecha, Polkit Sukchalerm, Natthapong Wongphuangfuthaworn

引用次数: 4

A computer vision based vehicle detection and counting system 基于计算机视觉的车辆检测与计数系统

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440510

Nilakorn Seenouvong, U. Watchareeruetai, C. Nuthong, K. Khongsomboon, N. Ohnishi

引用次数: 84

Clustering analysis on alumni data using abandoned and Reborn Particle Swarm Optimization 基于废弃粒子群和再生粒子群算法的校友数据聚类分析

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440500

P. Mudjihartono, T. Tanprasert, Rachsuda Jiamthapthaksin

引用次数: 3

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440478

Rachsuda Jiamthapthaksin, Pisal Setthawong, Nitipan Ratanasawetwad

{"title":"A system for popular Thai slang extraction from social media content with n-gram based tokenization","authors":"Rachsuda Jiamthapthaksin, Pisal Setthawong, Nitipan Ratanasawetwad","doi":"10.1109/KST.2016.7440478","DOIUrl":"https://doi.org/10.1109/KST.2016.7440478","url":null,"abstract":"With increased penetration of smart devices and internet connectivity, many Thais are more readily engaged in social media, online forums, and chat groups. As there is an increased consumption of social media content, there is a shift from the consumption of traditional medias in which formal language are used regularly such as broadcast and traditional print medias. Social media posts are a reflection of the trend, where posts usually made by younger generations usually involve communication in slang and non-formal language which is not typically available in formalized dictionaries. As the Thai population like to follow trends, one of behaviors of that many Thai social media users engage in, is to follow the latest popular social media trends in slang and word usage. As slang are changed and evolved over time, it is usually useful to have an online mining tool in which could capture the trends of emerging and popular slang. This paper proposes an approach that extracts popular Thai slang by comparing social media posts and utilizing tokenization, a dictionary based approach to extract unknown words, before expanding it by using n-gram approach to figure what are currently trending and popular slang words.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131433133","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

Robust tracking algorithm with designed marker for limited-power computer 设计标记的有限功率计算机鲁棒跟踪算法

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440529

Teera Siriteerakul, Rutchanee Gullayanon

引用次数: 2

Distance measurement with smartphone using acceleration model of hand movement 基于手部运动加速度模型的智能手机距离测量

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440479

Eakawat Tantamjarik, T. Tanprasert

引用次数: 2

Target selection based on gaze likelihood in gaze input interface 注视输入界面中基于注视似然的目标选择

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440534

Fumihiro Kobayashi, Hiroki Takahashi

引用次数: 3

Leaf identification using apical and basal features 利用顶端和基部特征的叶片识别

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440521

Mathara Rojanamontien, Poomkawin Sihanatkathakul, Nicha Piemkaroonwong, Supanat Kamales, U. Watchareeruetai

{"title":"Leaf identification using apical and basal features","authors":"Mathara Rojanamontien, Poomkawin Sihanatkathakul, Nicha Piemkaroonwong, Supanat Kamales, U. Watchareeruetai","doi":"10.1109/KST.2016.7440521","DOIUrl":"https://doi.org/10.1109/KST.2016.7440521","url":null,"abstract":"This paper proposes a method that extracts local features, i.e., angle patterns, around the apex and base of a leaf. The proposed method only requires leaf contour and the location of apex and base as inputs. Starting from an origin point, which can be either the apex or base, the contour is tracked in two directions, i.e., leftward and rightward, and then sampled at five different distances from the origin point. The angle formed by the origin and two sampled points, at each distance, is then calculated. Altogether, 10 angle features, five from the apex and five from the base, are obtained. These features are invariant to translation, rotation, and scaling. In addition, this paper also aims to measure the effectiveness of the proposed apical and basal features. In the experiment, two sets of features are compared. The first set includes 12 shape descriptors while the second set includes not only the 12 shape descriptors but also the proposed features. By using support vector machine as a classifier, leaf identification has been done by using the two sets of features. Experimental results indicate that the use of apical and basal features can significantly improve the accuracy of leaf identification.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132725701","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: 10

Combining deep convolutional networks and SVMs for mass detection on digital mammograms 结合深度卷积网络和支持向量机用于数字乳房x光片的质量检测

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440527

Itsara Wichakam, P. Vateekul

引用次数: 31