2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA)最新文献

Toward further innovation in human-machine systems 迈向人机系统的进一步创新

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805739

Yoshiyuki Tanaka

{"title":"Toward further innovation in human-machine systems","authors":"Yoshiyuki Tanaka","doi":"10.1109/IWCIA.2016.7805739","DOIUrl":"https://doi.org/10.1109/IWCIA.2016.7805739","url":null,"abstract":"A human-machine system (HMS) is an intelligent system in which a human operator cooperates and/or shares the functions of the system with a partially- or fully-automated machine through an operational interface with the goal of completing a target task. Examples of an HMS include an automobile, an airplane, and a wearable power-assist robot. The most important point related to the development of such an operational HMS is how the machine could move and cooperate with a human operator while executing a target task without adversely affecting not only the performance of the task but also the human operator's comfort. Despite the fact that the hardware systems of recent machines are well-developed, there remain many issues affecting the realization of an ideal HMS that could fully harmonize its behavior with a human because of the difficulty in treating uncertain human properties and individuals. Therefore, recent studies on HMS have addressed many related aspects, including control theory, robotics, biomechanics, human factors/ergonomics, and neuroscience as the need arises. Recent trends in the field of HMS research include a human-centric methodology and a shared control methodology, for which better computational models for task-related human motor function and/or perceptual functions are formulated based on experimental data and embodied into the control systems of automated machines. This talk provides an outline of an HMS, describes some state-of-the-art research, and invites open questions with the aim of identifying what we should/could do to achieve further innovation in the HMS field.","PeriodicalId":262942,"journal":{"name":"2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129842488","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

Fine tuning method by using knowledge acquisition from Deep Belief Network 基于深度信念网络知识获取的微调方法

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805759

Shin Kamada, T. Ichimura

引用次数: 7

Using canonical representations of block tree patterns in acquisition of characteristic block preserving outerplanar graph patterns 利用块树模式的规范表示获取保留特征块的外平面图模式

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805755

Fumiya Tokuhara, T. Miyahara, Yusuke Suzuki, Tomoyuki Uchida, T. Kuboyama

引用次数: 3

Contact map overlap maximization using adaptive distributed modified extremal optimization 基于自适应分布式修正极值优化的接触图重叠最大化

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805754

Keiichi Tamura, H. Kitakami, Tatsuhiro Sakai

{"title":"Contact map overlap maximization using adaptive distributed modified extremal optimization","authors":"Keiichi Tamura, H. Kitakami, Tatsuhiro Sakai","doi":"10.1109/IWCIA.2016.7805754","DOIUrl":"https://doi.org/10.1109/IWCIA.2016.7805754","url":null,"abstract":"The detection of similar structures in proteins has received considerable attention in the post-genome era. Protein structure alignment, which is similar to sequence alignment, can detect the structural homology between two proteins according to their three-dimensional structures. One of the simplest yet most robust techniques for finding optimal protein structure alignment is to maximize the contact map overlap (CMO). This optimization is known as the CMO problem. We have been developing bio-inspired heuristic models using distributed modified extremal optimization (DMEO) for the CMO problem. DMEO is inspired by distributed genetic algorithms, which are known as island models. DMEO is a hybrid of population-based modified extremal optimization (PMEO) and the island model. In our previous work, we proposed a novel bio-inspired heuristic model, i.e., DMEO with different evolutionary strategies (DMEODES) to maintain population diversity. DMEODES is based on the island model; however, some of the islands, called hot-spot islands, have a different evolutionary strategy. In this paper, we propose a state-of-art heuristic model to improve the DMEO's ability to prevent evolution stagnation. The new model integrates an adaptive generation alternation mechanism in DMEO called ADMEO. To evaluate ADMEO, we used actual protein structures. Experimental results show that ADMEO outperforms DMEODES.","PeriodicalId":262942,"journal":{"name":"2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117252854","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

Solving facility layout problems using evolutionary strategy based on levy flight 基于levy飞行的进化策略求解设施布局问题

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805746

Dongqing Zhao, C. Aranha, H. Kanoh

引用次数: 3

Evolutionary algorithm-based composition of hybrid-genre melodies using selected feature sets 基于进化算法的混合流派旋律组合使用选定的特征集

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805748

Aran V. Samson, A. Coronel

{"title":"Evolutionary algorithm-based composition of hybrid-genre melodies using selected feature sets","authors":"Aran V. Samson, A. Coronel","doi":"10.1109/IWCIA.2016.7805748","DOIUrl":"https://doi.org/10.1109/IWCIA.2016.7805748","url":null,"abstract":"Algorithmically generating music using specialized algorithms is a growing focus in computer science. The success of these specialized algorithms in generating music, however, depends heavily on the fitness function that is used to score the generated music and equally as important is how the fitness function is designed. Artificial intelligence in the computational composition can use certain feature set values derived from melodic analysis to serve as criteria for these fitness functions. This study explores two methods in defining the key features to be used as fitness criteria for algorithmic music generation of music that can be considered under a mix of two musical genres or hybrid-genre music. The jSymbolic tool was used to extract 101 features from musical pieces that fall under two genres. This was then reduced to a smaller feature set for use as fitness criteria. Two methods for feature reduction was explored; a decision-tree-based technique and a high-correlation-filtering technique. The study was able to confirm that each technique can be used to compose hybrid-genre music with 86% success-rate as confirmed by SVM when validated under the same dataset used in the study. This study does not claim to consistently result in a high success rate for all existing datasets.","PeriodicalId":262942,"journal":{"name":"2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122183358","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

The recommendation system to SNS community for tourists by using altruistic behaviors 利用利他行为向SNS社区推荐游客

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805747

T. Ichimura, Takuya Uemoto, Shin Kamada

引用次数: 0

Applying portfolio theory to prediction correction of train arrival times 应用组合理论进行列车到站时间预测校正

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805740

Takaaki Yamada, Tatsuhiro Sato

引用次数: 1

Single frame super-resolution using multiple graph structured program 单帧超分辨率采用多图结构化程序

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805752

Y. Natsui, T. Nagao

引用次数: 1

A recommendation system of grants to acquire external funds 获得外部资金的赠款推荐制度

2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2016-11-01 DOI: 10.1109/IWCIA.2016.7805760

Shin Kamada, T. Ichimura, Takanobu Watanabe

引用次数: 2