2016 8th International Conference on Knowledge and Smart Technology (KST)最新文献_第4页

Comparison solving discrete space on flower pollination algorithm, PSO and GA 求解离散空间的花授粉算法、粒子群算法与遗传算法的比较

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440499

Wanthanee Rathasamuth, S. Nootyaskool

引用次数: 6

Multimedia based scoreboard development of four disciplines of execution for journal publication 基于多媒体的四个执行学科记分牌开发，供期刊发表

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440475

M. Rusli, H. Sutopo

引用次数: 1

Current research themes in software engineering: An application of text mining 软件工程中的当前研究主题:文本挖掘的应用

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440476

K. Cosh

引用次数: 0

On the finding proper cache prediction model using neural network 基于神经网络的寻优缓存预测模型研究

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440514

Songchok Khakhaeng, C. Phongpensri

引用次数: 9

The method to read nutrient quantity in guideline daily amounts label by image processing 采用图像处理的方法读取指南日摄入量标签中的营养素含量

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440492

Arisa Poonsri, S. Charoensiriwath, T. Charoenpong

引用次数: 0

Improvement in detection of abandoned object by pan-tilt camera 平移倾斜相机对废弃物体检测的改进

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440522

Takuma Ogawa, Daiki Hiraoka, S. Ito, Momoyo Ito, M. Fukumi

{"title":"Improvement in detection of abandoned object by pan-tilt camera","authors":"Takuma Ogawa, Daiki Hiraoka, S. Ito, Momoyo Ito, M. Fukumi","doi":"10.1109/KST.2016.7440522","DOIUrl":"https://doi.org/10.1109/KST.2016.7440522","url":null,"abstract":"Recently, security cameras have been installed at a high rate in places where there are extensive grounds and many humans gather. The number of installed security cameras has been increasing year by year. The main reason is security enhancement including the prevention of incidences of terrorism. Therefore, we propose a method which detects abandoned objects on online by using pan-tilt camera. Above all, we improve problems of the previous method which is based on ST-Patch features and human detection. We make extended ST-Patch features for solving the problem of ST-Patch features. We improve human detection by using deep learning which is based on a convolutional neural network. We conducted preliminary experiments to verify a method of pooling, and then we decided to use Max pooling because its detection accuracy is better than that of Ave pooling. We conducted experiments in five situations to verify usefulness of the proposed method. If the proposed method finds an abandoned object, it saves the object image. We define the abandoned object as an object which human does not subsist near. We could detect the abandoned object in each situation. However, we conducted experiments of the proposed method only in a room. We need to conduct experiments in a wide area to find new problem.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"6 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":"121426513","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

Effects of visual flickering stimuli for event-related potential recording 视觉闪烁刺激对事件相关电位记录的影响

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440533

Karunyapas Dangruan, Pongrawee Jatadhammakorn, Siwatch Luxsameepicheat, M. Phothisonothai

引用次数: 4

Technology foresight through the collaboration with human expert and machine intelligence 通过与人类专家和机器智能的协作实现技术预见

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440470

Sun-Hwa Hahn

{"title":"Technology foresight through the collaboration with human expert and machine intelligence","authors":"Sun-Hwa Hahn","doi":"10.1109/KST.2016.7440470","DOIUrl":"https://doi.org/10.1109/KST.2016.7440470","url":null,"abstract":"We always make efforts to predict our future from the past and the present, since the prediction can make great changes in our life, especially in the fields of science and technology. Many organizations in the globe have surveys and announces emerging or disruptive technologies every year. Of course, they have developed their own processes to achieve the goal, but the insights of experts from related domains are usually absolute. In the era of Bigdata, due to the enormous amount of information, domain experts are struggling with timeliness and completeness in developing insights for the future. In KISTI, we introduced a methodology in which human experts are collaborating with machine intelligence to overcome the information flood. Data-intensive analysis methodology is applied to implement the machine intelligence to predict emerging technologies. The intelligent service platform, named InSciTe, includes data gathering, text mining, identity resolution, reasoning, complex event processing, and prescriptive analytics modules. InSciTe generates candidates of emerging technologies with the evidences why they are selected as candidates, and then domain experts make the final decision. In this talk, I will introduce our intelligent service platform based on the data-intensive analysis. Besides, I will show several case studies in the domains of ICT, internet security, and healthcare as joint works with NIPA, KISA, and KRIBB respectively. For the cases with KRIBB, human experts collaborated with machine intelligence interactively to derive the results. We named this approach as Chi(Computer Human Interacting)-Delphi method for technology foresight. As Web goes to connect machine intelligences in the era of Internet of Things, the collaboration between human intelligence and machine intelligence will be eventually the next great wave for predicting the future.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"54 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":"134366208","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

CubeSat image transmission in JPEG compression: An experiment on high altitude platform JPEG压缩的立方体卫星图像传输:高空平台实验

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440493

Pirada Techavijit, S. Chivapreecha, Polkit Sukchalerm, Aniwat Plodpai

引用次数: 3

RTS terrain analysis: An axial-based approach for improving chokepoint detection method RTS地形分析:改进阻塞点检测方法的轴向方法

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440512

Wittaya Bidakaew, Pavadee Sompagdee, S. Ratanotayanon, Pongsagon Vichitvejpaisal

引用次数: 2