2017 9th International Conference on Knowledge and Smart Technology (KST)最新文献_第6页

iShop — Shopping application for visually challenged iShop -视觉障碍购物应用程序

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886121

Dilshan I. De Silva, M. R. A. Nashry, S. Varathalingam, R. Murugathas, Kushnara Suriyawansa

引用次数: 1

Explicit and implicit aspects of human cognition and behavior 人类认知和行为的显性和隐性方面

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886064

Katsumi Watanabe

{"title":"Explicit and implicit aspects of human cognition and behavior","authors":"Katsumi Watanabe","doi":"10.1109/KST.2017.7886064","DOIUrl":"https://doi.org/10.1109/KST.2017.7886064","url":null,"abstract":"In this talk, I would like to illustrate how human minds and brains may be approached scientifically, with a particular focus on human visual system and its cognitive characteristics. Understanding human cognition and behavior is essential for any information system, in particular in emerging fields such as Artificial Intelligence, Virtual Reality, and Robotics, etc. Cognitive sciences involve studies on information systems, which obviously include humans, by examining what we can do (i.e., performances), what we cannot do (i.e., limits), what we are good or bad at (i.e., species-specific characteristics), and the extent to which we can change (plasticity). As cognitive science is interdisciplinary by its nature and the ranges of interests and issues vary, setting several must-follow principles would be vital; here I would list just several ones for handling human cognition and action: experimental attitude, complexity appreciation, appropriate reductionism, evolutional perspective, and understanding dynamically changing systems. Then, I shall discuss some important aspects of human cognition and action by showing visual demonstrations and discuss four issues in cognitive sciences. Bottom-up process versus Top-down process: Human cognition and actions are based on various automatic, stimulus-driven processes as well as deliberative, internally-driven processes. Although it is often difficult to disentangle these two processes, it is a good strategy to examine to what extent a phenomenon at hand is based on bottom-up processes and top-down processes. Interaction between Perception & Action: What we perceive is not necessarily identical to what we act on. Sometimes, perception and action are dissociable and sometimes they interact. Due to these dissociable and interacting bottom-up and top-down processes and the relationship between perceptual and action, we experience the complex mixture of conscious and unconscious effects.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122560315","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

Mining weighted-frequent-regular itemsets from transactional database 从事务数据库中挖掘加权频繁规则项集

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886090

Kittipa Klangwisan, Komate Amphawan

引用次数: 6

Partition-based overlapping clustering using cluster's parameters and relations 利用聚类的参数和关系进行基于分区的重叠聚类

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886124

Tanawat Limungkura, P. Vateekul

{"title":"Partition-based overlapping clustering using cluster's parameters and relations","authors":"Tanawat Limungkura, P. Vateekul","doi":"10.1109/KST.2017.7886124","DOIUrl":"https://doi.org/10.1109/KST.2017.7886124","url":null,"abstract":"Conventional clustering algorithms based on the assumption that a data point can be assigned to only a single cluster. In spite of, there are several types of data that a data point belongs to multiple categories and causes ground-truth clusters overlap. To handle this situation, several algorithms are proposed and referred as “overlapping clustering”. One of state-of-the-art partition-based overlapping clustering technique is “Non-exhaustive, Overlapping K-Means” or “NEO-K-Means” in short, which is an extension of K-Means clustering algorithm. Although NEO-K-Means works effectively for most real-world multi-category data. However, the process of assigning clusters focuses only on the minimum distance from the data to the centroid and ignores other essential parameters, such as, distance between clusters and the radius of clusters. Moreover, the number of estimation of data points on overlapping area is also still not accurate enough. These are huge drawbacks of NEO-K-Means that makes clustering accuracy lower than it should be. In this paper, we aim to overcome this limitation in NEO-K-Means by using radius of cluster and distance between clusters for assisting in estimating data and assigning clusters. The experimental results show that our method significantly outperforms NEO-K-Means on nine real multi-category data sets in terms of F1.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"28 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114046516","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

Merging artificial immune system and ordinal optimization for solving the optimal buffer resource allocation of production line 将人工免疫系统与有序优化相结合求解生产线缓冲资源最优分配

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886069

S. Horng, Shieh-Shing Lin

引用次数: 3

Building issue-data maps to support the resolution of socio-national issues: Focusing on the issue of increase in domestic inflow of foreign infectious diseases 建立问题数据地图，以支持解决社会-国家问题:重点关注外国传染病流入国内增加的问题

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886131

Mi-Nyeong Hwang, Seungwoo Lee, Heeyoung Oh

{"title":"Building issue-data maps to support the resolution of socio-national issues: Focusing on the issue of increase in domestic inflow of foreign infectious diseases","authors":"Mi-Nyeong Hwang, Seungwoo Lee, Heeyoung Oh","doi":"10.1109/KST.2017.7886131","DOIUrl":"https://doi.org/10.1109/KST.2017.7886131","url":null,"abstract":"Owing to the development of big-data-related technology, interest on systematic methodology that determines policies has been increasing based on data in the public health field. In this study, a method is proposed to establish an issue data map required to discover main national and social issues based on the data and solve issues through cooperation with domain experts. First, main issues with socially high interest are selected through literature review and analysis on news and search trends. Next, the factors that influence these selected issues are analyzed, and specific monitoring items of each driving force are selected to investigate the related data. In addition, a map is established to interconnect researchers with considerable experience in issue domain research and policy decision organizations that have decision-making capacity to solve the issues. This study empirically shows the process of establishing an issue map on a main social issue, which is the “increase in domestic inflow of foreign infectious diseases.” Efficient policy decision making will be possible if an issue-detection system that enables constant monitoring based on this issue map is established.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123395591","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

A character-level convolutional neural network with dynamic input length for Thai text categorization 具有动态输入长度的字符级卷积神经网络，用于泰文文本分类

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886102

Thanabhat Koomsubha, P. Vateekul

引用次数: 6

Ambiguity in patent vocabulary: Experiments with clarity scores for claims and descriptions 专利词汇的模糊性:要求书和描述的清晰性得分实验

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886135

J. Bertram, Thomas Mandl

引用次数: 1

Time-frequency ratio hashing for content-based audio retrieval 基于内容的音频检索的时频比哈希

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886103

Petcharat Panyapanuwat, Suwatchai Kamonsantiroj, Luepol Pipanmaekaporn

引用次数: 4

Integrating Labeled Latent Dirichlet Allocation into sentiment analysis of movie and general domains 将标记潜在狄利克雷分配集成到电影和一般领域的情感分析中

2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886071

Ryan Coughlin, Jean-Charles Coetsier, Rachsuda Jiamthapthaksin

引用次数: 2