2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)最新文献

International program committee 国际项目委员会

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2021-11-24 DOI: 10.1109/pc.2017.7976178

Abdul R. A. Rahman, A. Utsumi, Jung-Shian Li

引用次数: 0

Parallel distributed Interactive Genetic Algorithm for composing music melody suited to multiple users' feelings 基于并行分布式交互遗传算法的多用户情感音乐旋律创作

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-08-25 DOI: 10.1109/ICIS.2016.7550862

M. Fukumoto, Takeshi Hatanaka

{"title":"Parallel distributed Interactive Genetic Algorithm for composing music melody suited to multiple users' feelings","authors":"M. Fukumoto, Takeshi Hatanaka","doi":"10.1109/ICIS.2016.7550862","DOIUrl":"https://doi.org/10.1109/ICIS.2016.7550862","url":null,"abstract":"This study aims to propose an Interactive Evolutionary Computation that creates sound contents for multiple users. Sound contents including music pieces and sign sounds are often used in our daily life for creating common atmosphere and transmitting a certain message to everyone. The proposed method is based on parallel distributed Interactive Genetic Algorithm (IGA), which creates visual media contents commonly suited to multiple users. In this method, each of the users proceeds general IGA process by evaluating solution candidates of the IGA. As a special property of this method, in some generations, solution candidates are exchanged between the users. With the exchange, each of the users is affected by other users' feelings. It is expected that good solution evaluated as best solution by all of the users is obtained. Based on the concept of the proposed method, we constructed an IGA system for fundamentally investigating efficiencies of the proposed method. Aim of the IGA system is to create a short music melody commonly affording bright image. Key of the notes was treated as gene of IGA. Music chord progression called Canon chord is attached to the melody when it is presented to the subjects. 10 persons participated in the experiment as subjects. In the IGA system, two users participated in the evaluation process simultaneously. Experimental results showed almost continuous increase in mean and maximum fitness values between the subjects. To clarify the efficiency of the exchange of the proposed method, further study with comparing experiment including conditions with/without the exchange is needed.","PeriodicalId":336322,"journal":{"name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116278974","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: 5

FPGA-based deep-pipelined architecture for FDTD acceleration using OpenCL 基于fpga的OpenCL FDTD加速的深度流水线结构

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-08-25 DOI: 10.1109/ICIS.2016.7550742

H. M. Waidyasooriya, M. Hariyama

引用次数: 14

Emotional element detection and tendency judgment based on mixed model with deep features 基于深层特征混合模型的情感元素检测与倾向判断

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-08-25 DOI: 10.1109/ICIS.2016.7550779

Xiao Sun, Chongyuan Sun, F. Ren, Fang Tian, Kunxia Wang

{"title":"Emotional element detection and tendency judgment based on mixed model with deep features","authors":"Xiao Sun, Chongyuan Sun, F. Ren, Fang Tian, Kunxia Wang","doi":"10.1109/ICIS.2016.7550779","DOIUrl":"https://doi.org/10.1109/ICIS.2016.7550779","url":null,"abstract":"With the rapid development of B2C e-commerce and the popularity of online shopping, the Web storages huge number of product reviews comment by customers. Product reviews contain subjective feelings of customers who have used some products, more and more customers browse a large number of online reviews in order to know other customers word-of-mouth of product and service to make an informed choice. Manufacturers also need accurate user feedback from product reviews to improve their goods. However, a large number of reviews made it difficult for manufacturers or potential customers to track the comments and suggestions that customers made. This paper presents a method for extracting emotional elements containing emotional objects and emotional words and their tendencies from product reviews based on mixed model. First we constructed conditional random fields (CRFs) to extract emotional elements, lead-in semantic and word meaning as features to improve the robustness of feature template and used rules for hierarchical filtering errors. Then we constructed support vector machine (SVM) to classify the emotional tendency of the fine-grained elements to achieve key information from product reviews. Deep semantic information imported based on neural network (NN) to improve the traditional bag of word model. Experimental results show that the proposed model with deep features efficiently improved the F-Measure.","PeriodicalId":336322,"journal":{"name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125403714","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

Proof of violation for availability in cloud systems 云系统中可用性的违规证明

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-08-23 DOI: 10.1109/ICIS.2016.7550739

Gwan-Hwan Hwang, S. Yeh

引用次数: 2

A hybrid news recommendation algorithm based on user's browsing path 基于用户浏览路径的混合新闻推荐算法

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550917

Chen Li, Zhengtao Jiang

引用次数: 3

An evolutionary multi-layer perceptron neural network for solving unconstrained global optimization problems 求解无约束全局优化问题的进化多层感知器神经网络

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550765

Jui-Yu Wu

引用次数: 4

Comments recovery approach for Java decompiler Java反编译器的注释恢复方法

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550827

S. Sateanpattanakul

引用次数: 0

Remote entertainment performances and social feedbacks 远程娱乐表演和社会反馈

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550723

H. Tarumi

引用次数: 0

A strategic decision value model for cloud computing in Saudi Arabia's public sector 沙特阿拉伯公共部门云计算战略决策价值模型

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550741

Mohammed Mreea, K. Munasinghe, D. Sharma

引用次数: 11