2017 International Conference on Information Science and Communications Technologies (ICISCT)最新文献_第2页

Data analysis of the MAVLink communication protocol MAVLink通信协议的数据分析

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188563

Sukhrob Atoev, Ki-Ryong Kwon, Suk-Hwan Lee, Kwang-Seok Moon

引用次数: 58

Algorithms for parallel bitmap image processing based on the haar wavelet 基于haar小波的并行位图图像处理算法

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188571

Khamdamov Utkir

引用次数: 2

Mean-Variance-Skewness-Kurtosis efficiency of portfolios computed via moment-based bounds 均值-方差-偏态-峰度效率的矩基边界计算

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188577

S. Dokov, D. Morton, I. Popova

引用次数: 4

Application of virtual reality technologies in training of man-machine system operators 虚拟现实技术在人机系统操作员培训中的应用

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188569

I. Petukhov, L. Steshina, Andrey E. Glazyrin

引用次数: 6

BER measurement of functional optical fiber channel that uses polarization multiplex 偏振复用功能光纤信道的误码率测量

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188567

M. Kyselak, F. Dvořak, Martin Mafka

引用次数: 8

Hybrid authentication scheme in peer-aware communication 对等感知通信中的混合认证方案

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188574

Yonghun Kim, Joongheon Kim, Sungrae Cho

引用次数: 1

Development of a solar powered bird repeller system with effective bird scarer sounds 太阳能驱鸟系统的研制与有效的鸟惊吓声

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188587

A. Muminov, Yun Chan Jeon, Daeyoung Na, Cheolwon Lee, H. Jeon

引用次数: 17

The evolution of automated component-based software development tools: From structural synthesis of programs to behavioral types 基于组件的自动化软件开发工具的演变:从程序的结构综合到行为类型

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188570

Vaidas Giedrimas, S. Omanovic, P. Grigorenko

{"title":"The evolution of automated component-based software development tools: From structural synthesis of programs to behavioral types","authors":"Vaidas Giedrimas, S. Omanovic, P. Grigorenko","doi":"10.1109/ICISCT.2017.8188570","DOIUrl":"https://doi.org/10.1109/ICISCT.2017.8188570","url":null,"abstract":"The software composition using high-granularity entities nowadays is a common practice. The process of software composition is supported by various CASE tools. First tools were made on the basis of very simple formalisms (e.g. intuitionistic propositional logic). During the years the tools evolved to more efficient ones, which are able to deal with concurrency, multiparty sessions and other advanced aspects of distributed software. Such tools often are based on the behavioral types (BT). This paper presents 3 logically related tools: CoCoViLa, SoCoSys and BSynth in order to expose such evolution. CoCoViLa and (partially) SoCoSys are based on the Structural Synthesis of Programs method while BSynth tool is more related to behavioral types. The focus of this paper is more on the BSynth, because it implements the Evolutionary prediction algorithm, enabling to predict what components are missing in initial repository. The possible future trends of automated component-based software development and its relation to selected tools are discussed also.","PeriodicalId":173523,"journal":{"name":"2017 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126451707","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

Classification of TIAV multimedia system parameters TIAV多媒体系统参数分类

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188576

Beknazarova Saida Safibullaevna

引用次数: 0

Parallel processing capabilities in the process of speech recognition 语音识别过程中的并行处理能力

2017 International Conference on Information Science and Communications Technologies (ICISCT) Pub Date : 2017-11-01 DOI: 10.1109/ICISCT.2017.8188585

Rakhimov Mekhriddin Fazliddinovich, Berdanov Ulug'bek Abdumurodovich

{"title":"Parallel processing capabilities in the process of speech recognition","authors":"Rakhimov Mekhriddin Fazliddinovich, Berdanov Ulug'bek Abdumurodovich","doi":"10.1109/ICISCT.2017.8188585","DOIUrl":"https://doi.org/10.1109/ICISCT.2017.8188585","url":null,"abstract":"A Speech recognition is one of the important process of information technology. Speech recognition plays a key role in many systems like voice control, IP-telephony, personal identification, recognition of individual words and phrases, accepting applications for reference services and searching system. There are many researching companies in this area, which developing and improving methods, algorithms and applications for the segmentation of the speech signal and for the calculation of parametric indicators of the selected fragments of the speech signals. In the preliminary stages of speech processing is being implemented algorithms for the allocation of phonetic characteristics, which are subjected to syntactic and semantic analysis in subsequent stages. In isolating the phonetic characteristics of the input speech signals the calculation cepstral characteristics one of the important processes in speech recognition. The Mel-frequency cepstrum is gives good results for isolating phonetic characteristics of speech signals. The calculation of Mel-frequency cepstral coefficients takes a lot of time in speech recognition process. This is clearly evident in real time systems like IP-telephony. The calculation of Mel-frequency cepstral coefficients takes a lot of time in speech recognition process. This is clearly evident in real time systems like a IP-telephony. For the solving these problem we need to create a stream computing. A practical solution of the problem of faster processing is the use of parallel computing algorithms. The hardware platform implementation of parallel algorithms for calculation of Mel-frequency cepstral coefficients can be multi-core processors.","PeriodicalId":173523,"journal":{"name":"2017 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132070164","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: 13