2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)最新文献_第8页

Integrated usage of different knowledge sources in life science 生命科学中不同知识来源的综合运用

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022784

Daisuke Kimoto, T. Hochin, Hiroki Nomiya

引用次数: 0

Interactive decoration design support system by fitness evaluation based on design knowledge and subjective evaluation 交互式装饰设计支持系统通过基于设计知识的适应性评价和主观评价

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022792

M. Unehara, Yoshiki Ekihiro, Eriko Matsumoto, Koichi Yamada, Izumi Suzuki

引用次数: 0

The unpredictable structure of risk chains using association rule mining 利用关联规则挖掘风险链的不可预测结构

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022770

Yusuke Makino, Kazuhiko Kato, S. Tanimoto

引用次数: 1

Sentiment analysis for reviews of restaurants in Myanmar text 情感分析的评论餐馆在缅甸文本

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022740

Yu Mon Aye, Sint Sint Aung

引用次数: 18

Clustering search engine suggests by integrating a topic model and word embeddings 聚类搜索引擎建议将主题模型和词嵌入相结合

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022782

Tian Nie, Yi Ding, Chen Zhao, Youchao Lin, T. Utsuro, Yasuhide Kawada

{"title":"Clustering search engine suggests by integrating a topic model and word embeddings","authors":"Tian Nie, Yi Ding, Chen Zhao, Youchao Lin, T. Utsuro, Yasuhide Kawada","doi":"10.1109/SNPD.2017.8022782","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022782","url":null,"abstract":"The background of this paper is the issue of how to overview the knowledge of a given query keyword. Especially, we focus on concerns of those who search for Web pages with a given query keyword. The Web search information needs of a given query keyword is collected through search engine suggests. Given a query keyword, we collect up to around 1,000 suggests, while many of them are redundant. We cluster redundant search engine suggests based on a topic model. However, one limitation of the topic model based clustering of search engine suggests is that the granularity of the topics, i.e., the clusters of search engine suggests, is too coarse. In order to overcome the problem of the coarse-grained clusters of search engine suggests, this paper further applies the word embedding technique to the Web pages used during the training of the topic model, in addition to the text data of the whole Japanese version of Wikipedia. Then, we examine the word embedding based similarity between search engines suggests and further classify search engine suggests within a single topic into finer-grained subtopics based on the similarity of word embeddings. Evaluation results prove that the proposed approach performs well in the task of subtopic clustering of search engine suggests.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125842602","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

Environmental sound classification based on time-frequency representation 基于时频表示的环境声分类

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022729

Khine Zar Thwe, Nu War

引用次数: 8

A software implementation of speculative memory 推测存储器的一个软件实现

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022759

K. Fujisawa, Atsushi Nunome, Kiyoshi Shibayama, Hiroaki Hirata

{"title":"A software implementation of speculative memory","authors":"K. Fujisawa, Atsushi Nunome, Kiyoshi Shibayama, Hiroaki Hirata","doi":"10.1109/SNPD.2017.8022759","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022759","url":null,"abstract":"Many techniques for parallelizing a sequentially coded program have been developed and put to practical use, but there are many cases in which program codes cannot be parallelized because it is impossible to assure that their parallel execution does not violate the data dependencies in the program. To parallelize such programs, we have previously proposed speculative memory (SM). With SM, programmers can specify the parallel and speculative execution of threads explicitly in their programs. The SM system manages the memory data that are speculatively read or written by the threads running in parallel. When the system detects inconsistent memory accesses, it recovers the computational state of the program and restarts the execution. If such inconsistencies are not encountered often, we can expect the total execution time of the program to be shorter. In this paper we present a software implementation of SM (SSM). We have developed an SM library by using POSIX threads. In spite of large overheads that are essentially unavoidable in a software implementation, our SSM system can shorten the execution time of a program that compilers cannot parallelize automatically.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125714574","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: 7

A centralized HIDS framework for private cloud 用于私有云的集中式HIDS框架

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022709

Zhijian Wang, Yanqin Zhu

引用次数: 22

A scheme of criminal law knowledge acquisition using ontology 基于本体的刑法知识获取方案

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022696

Pongpanut Osathitporn, N. Soonthornphisaj, W. Vatanawood

引用次数: 9

Performance evaluation of delayed-committing transactional memory 延迟提交事务性内存的性能评估

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022760

Sekai Ichii, Shohei Hayashi, Atsushi Nunome, Hiroaki Hirata, Kiyoshi Shibayama

引用次数: 0