2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)最新文献_第8页

Coverage Optimization of Wireless Sensor Networks with Normal Distribution 正态分布无线传感器网络的覆盖优化

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466476

Anas A. Al-Roubaiey, B. Al-Gohi

引用次数: 0

Propagation Path Loss Prediction Based-on Grey Verhulst Model 基于灰色Verhulst模型的传播路径损耗预测

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466461

L. Wu, Xiaomei Liu, Ying-Jian Qi, Zheng-peng Wu

引用次数: 2

The Design and Implementation of Script Authoring Assistant System of Film and Television Big Data 影视大数据剧本创作辅助系统的设计与实现

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466381

Mengyu Liu, Wenqian Shang, Jianxiang Cao, Chan Pan, Weiguo Lin, Hao Fu

{"title":"The Design and Implementation of Script Authoring Assistant System of Film and Television Big Data","authors":"Mengyu Liu, Wenqian Shang, Jianxiang Cao, Chan Pan, Weiguo Lin, Hao Fu","doi":"10.1109/ICIS.2018.8466381","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466381","url":null,"abstract":"Big data is increasingly becoming a hot research topic, applied to all walks of life. And the film and television big data makes big data science and film and television industry blend together, making far-reaching impact on the film and television works of creation, dissemination, acceptance and other aspects. With the hit of different types of films and TV plays, the screenwriter directing industry has become a lot of people dream career, they eager to show talent in this area. The significance of this paper is to use the online writing mode of the script to draw the figure of character relationship. It can clearly grasp the characters in the script by visualization, and make the decision support of the characters and balance the role relation to ensure the scriptwriter’s layout is reasonable. Based on the current situation of script creation and the actual needs of users, so that different levels of users can freely create character relationship map, and give the role of quantitative analysis of the results, so as to achieve the purpose of supporting the creation.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126386944","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

An Improved Primate Swarm Algorithm with Adaptive K-Mean for Optimization Problems 一种改进的自适应k -均值灵长类群算法求解优化问题

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466435

Amarita Ritthipakdee

{"title":"An Improved Primate Swarm Algorithm with Adaptive K-Mean for Optimization Problems","authors":"Amarita Ritthipakdee","doi":"10.1109/ICIS.2018.8466435","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466435","url":null,"abstract":"A bio-inspired is well known in a group of swarm intelligent. There are many researchers research algorithms to solve computation problems. This research is to develop foraging behavior improvement of primate swarm algorithm. The proposed algorithm is inspired by the behavior of the primate. In nature, primates live in wild as a small group for spreading foraging behavior and grown up mature primate creates new primate group. The primate who creates the group becomes a group leader to find other foraging. This research proposes adaptive K-mean algorithm for primate grouping to improve primate swarm intelligent for foraging behavior. A conventional primate swarm intelligent finds forage randomly which is an important problem of local search. Primate grouping is improved, simulates primate adaptation with adaptive K-mean technique for foraging behavior, number of new primate groups is gradually increase when forage is found. The results from this research are compared with PSA, CM-DNAGA, PSOCO, PSOTD algorithms. The proposed algorithm is tested with eight standard benchmark functions and most of which convergence to the optimal value.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122768498","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

The Experimental Implementation of GrabCut for Hardcode Subtitle Extraction 硬码字幕提取中GrabCut的实验实现

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466484

Dong Wang, Aimoerfu

引用次数: 1

Constructing an Intrusion Detection Model based on Long Short-term Neural Networks 基于长短期神经网络的入侵检测模型构建

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466445

Songge Xiao, Jing An, Wenqing Fan

引用次数: 3

My Data: A Framework for Transfer of User Data Using NS2 Simulator 我的数据:一个使用NS2模拟器传输用户数据的框架

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466417

M. Abbasi, S. Ghani

引用次数: 0

ICIS 2018 Committees

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/icis.2018.8466389

引用次数: 0

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466482

Ji-Yeon Yang, Hyoung-kee Choi

引用次数: 4

Deep Neural Network based Supervised Speech Enhancement in Speech-Babble Noise 基于深度神经网络的有监督语音增强研究

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466542

N. Saleem, M. I. Khattak, Xuhui Chen, Muhammad Ali

{"title":"Deep Neural Network based Supervised Speech Enhancement in Speech-Babble Noise","authors":"N. Saleem, M. I. Khattak, Xuhui Chen, Muhammad Ali","doi":"10.1109/ICIS.2018.8466542","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466542","url":null,"abstract":"Speech enhancement is fundamental for many real-time speech applications and it is challenging in case of single-channel because practically only one data channel is available. Without any constraint, a countless range of solutions are possible to solve this problem. In this paper, we present a supervised learning approach to enhance a speech degraded by speech-babble noise, which is most challenging type of noise in speech enhancement systems. The proposed method is composed of deep neural networks (DNNs) and less aggressive Wiener filtering (LW) for speech enhancement, labeled as the DNN-LW. The proposed method is composed of the training and testing stages, respectively. The DNN in the training stage calculates the magnitude spectrums of noise-free speech and the noise signals, respectively from the input noise-masked speech features concurrently. The Less aggressive Wiener filter is then placed as an extra layer on top of the deep neural network to create the enhanced magnitude spectrum. Finally, the phase of noisy speech is used to restore the estimate of clean speech. During testing stage, the trained DNN is provided the features of noise-masked speech to attain the enhanced speech. The experimental results revealed that the DNN-LW approach performs significantly better against baseline speech enhancement methods.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115008400","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