2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)最新文献_第2页

Design of a heterogeneous marsupial robotic system composed of an USV and an UAV 由USV和UAV组成的异质有袋类机器人系统设计

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-04-11 DOI: 10.1109/ICACI.2016.7449858

Yunsheng Fan, Jianlei Ma, Guofeng Wang, Tie-shan Li

引用次数: 3

Semi-automatic construction of thyroid cancer intervention corpus from biomedical abstracts 基于生物医学文摘的甲状腺癌干预语料库的半自动构建

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-04-11 DOI: 10.1109/ICACI.2016.7449819

Wutthipong Kongburan, P. Padungweang, Worarat Krathu, Jonathan H. Chan

{"title":"Semi-automatic construction of thyroid cancer intervention corpus from biomedical abstracts","authors":"Wutthipong Kongburan, P. Padungweang, Worarat Krathu, Jonathan H. Chan","doi":"10.1109/ICACI.2016.7449819","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449819","url":null,"abstract":"Thyroid cancer is a common endocrine tumor that is experiencing a steady increase in incidence worldwide. The latest discoveries on disease and its treatment are mostly propagated in the form of biomedical publications such as those in PubMed. Unfortunately, this information is distributed in unstructured text with over two thousand articles being added annually. Text mining technology plays an important role in information extraction, since it can be used to uncover hidden value from the vast amount of text in reasonable time. In general, a preliminary task of text mining is Named Entity Recognition (NER). In this case, a gold standard corpus is needed, since the capability of NER depends on a trustworthy corpus. However the construction of gold standard corpus is a laborious and time-consuming process. In order to obtain a reasonably practical corpus in a limited time, this paper consequently proposes a semiautomatic approach to construct a thyroid cancer interventions corpus. The experimental results demonstrate that the proposed method can be used to construct a thyroid cancer intervention corpus reasonably in terms of both performance and overfitting avoidance.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122784326","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

Particle swarm optimization with Monte-Carlo simulation and hypothesis testing for network reliability problem 网络可靠性问题的蒙特卡罗模拟粒子群优化与假设检验

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449844

Lu-Yao Wu, Wei-neng Chen, Haobin Deng, Jun Zhang, Yun Li

{"title":"Particle swarm optimization with Monte-Carlo simulation and hypothesis testing for network reliability problem","authors":"Lu-Yao Wu, Wei-neng Chen, Haobin Deng, Jun Zhang, Yun Li","doi":"10.1109/ICACI.2016.7449844","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449844","url":null,"abstract":"The performance of Monte-Carlo Simulation(MCS) is highly related to the number of simulation. This paper introduces a hypothesis testing technique and incorporated into a Particle Swarm Optimization(PSO) based Monte-Carlo Simulation(MCS) algorithm to solve the complex network reliability problem. The function of hypothesis testing technique is to reduce the dispensable simulation in network system reliability estimation. The proposed technique contains three components: hypothesis testing, network reliability calculation and PSO algorithm for finding solutions. The function of hypothesis testing is to abandon unpromising solutions; we use Monte-Carlo simulation to obtain network reliability; since the network reliability problem is NP-hard, PSO algorithm is applied. Since the execution time can be better decreased with the decrease of Confidence level of hypothesis testing in a range, but the solution becomes worse when the confidence level exceed a critical value, the experiment are carried out on different confidence levels for finding the critical value. The experimental results show that the proposed method can reduce the computational cost without any loss of its performance under a certain confidence level.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"44 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":"114971719","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

Innovation design: Integrating mobile-mediated communication with computational intelligence for task-based EFL learning in Taiwanese higher education 创新设计:台湾高等教育以任务为基础的英语学习，整合移动媒介沟通与计算智能

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449824

Paoling Liao, Cheng-Shiuan Lin

{"title":"Innovation design: Integrating mobile-mediated communication with computational intelligence for task-based EFL learning in Taiwanese higher education","authors":"Paoling Liao, Cheng-Shiuan Lin","doi":"10.1109/ICACI.2016.7449824","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449824","url":null,"abstract":"This study investigated the use of mobile-mediated communication (MMC) with computational intelligence in a task-based learning (TBL) exercise for an English as a foreign language (EFL) class in Taiwan. Students used LINE, an instant messaging application, to send English-language messages to one another while completing an online game that simulates an archaeological expedition in an ancient Egyptian tomb. This TBL activity provided the students with an entertaining motivation to use English for cultural exploration in the context of an increasingly popular medium for everyday communication. The activity also provided useful data for several types of task-based assessment (TBA): (1) integrative assessments to assess proficiency in production skills, namely, speaking and writing; (2) communicative assessments, in which a large amount of communication or negotiation is expected; and (3) multi-phase assessments, in which self-assessment and peer assessment both occur within the proposed assessment task. The study results demonstrate how MMC-based exercises can leverage student engagement for more effective EFL learning.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"53 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":"123088814","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

Decision support system for investing in stock market by using OAA-Neural Network 基于oaa神经网络的股票市场投资决策支持系统

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449794

Sabaithip Boonpeng, P. Jeatrakul

{"title":"Decision support system for investing in stock market by using OAA-Neural Network","authors":"Sabaithip Boonpeng, P. Jeatrakul","doi":"10.1109/ICACI.2016.7449794","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449794","url":null,"abstract":"In stock market, successful investors can earn maximum profits depended on a stock selection and a suitable time on trading. Generally, investors use two statistical techniques for making a decision, which are the fundamental analysis and the technical analysis. Recently, machine learning models which are a part of artificial intelligence, has been applied to enhance investors for investment. A number of machine learning models have been investigated for stock prediction such as Genetic Algorithms (GAs), Support Vector Machines (SVMs) and Neural Network (NN). In this paper, several multiclass classification techniques using neural networks are investigated. The multi-binary classification experiments using One-Against-One (OAO) and One-Against-All (OAA) techniques are tested and they are compared with the traditional neural network. Furthermore, an alternative data preparation and a data selection process are proposed. The experimental results show that the multi-binary classification using OAA technique outperforms other techniques. It can provide the return on investment greater than the traditional analysis techniques.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"1 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":"125343526","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: 34

An approach to face shape classification for hairstyle recommendation 一种面向发型推荐的脸型分类方法

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449857

Wisuwat Sunhem, Kitsuchart Pasupa

引用次数: 25

An improved Gbest-guided artificial bee colony algorithm based on dynamic regulatory factor 基于动态调节因子的改进gbest制导人工蜂群算法

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449836

J. Huo, F. Meng

引用次数: 1

The factors in patients' perceptions after obtaining telecare-related information 患者获得远程相关信息后认知的影响因素

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449846

Jui-Chen Huang, Shou-Hsiung Cheng, Yii-Ching Lee

{"title":"The factors in patients' perceptions after obtaining telecare-related information","authors":"Jui-Chen Huang, Shou-Hsiung Cheng, Yii-Ching Lee","doi":"10.1109/ICACI.2016.7449846","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449846","url":null,"abstract":"The main purpose of this study was to investigate the factors in patients' perceptions after obtaining telecare-related information. This study took a certain large-scale medical institution in Taiwan for example and used the technology acceptance model (TAM) as the theoretical basis in order to provide information on telecare, increase inpatients' intention to use it, and further increase its utilization rate, in order to fulfill the effectiveness of telecare, reduce the cost of healthcare, and improve healthcare quality. “Attitude toward using” significantly and positively affects “behavioral intention to use”; “perceived ease of use” significantly and positively affects “perceived usefulness”; “perceived usefulness” significantly affects “attitude toward using” in positive terms. Since the impacts of “perceived ease of use” on “attitude toward using” is not yet statistically significant. It is necessary to first enhance the attitude toward using telecare, follow by the usefulness of telecare. In addition, this study is to understand the effect of intervention measure on inpatients' perception of use of telecare to increase inpatients' intention to use. This study can help enhance the understanding pertaining to the relationship and reference of other important user variables in the choice of telecare by relevant researchers, technology developers, and policy makers.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"71 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":"130512748","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

Motion-based vehicle detection in Hsuehshan Tunnel 雪山隧道基于运动的车辆检测

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449856

Chun-Ming Tsai, J. Hsieh, F. Shih

引用次数: 7

Multiple-objective optimization based on a two-time-scale neurodynamic system 基于双时间尺度神经动力学系统的多目标优化

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449825

Shaofu Yang, Jun Wang, Qingshan Liu

引用次数: 4