International journal of new computer architectures and their applications最新文献_第4页

BRAIN - COMPUTER INTERFACE FOR COMMUNICATION AND ESTIMATION OF HUMAN EMOTION FROM EEG AND VIDEO 脑机接口，用于从脑电图和视频中交流和估计人类情感

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/P002028

S. Radeva, D. Radev

{"title":"BRAIN - COMPUTER INTERFACE FOR COMMUNICATION AND ESTIMATION OF HUMAN EMOTION FROM EEG AND VIDEO","authors":"S. Radeva, D. Radev","doi":"10.17781/P002028","DOIUrl":"https://doi.org/10.17781/P002028","url":null,"abstract":"The brain-computer interface (BCI) aim to use Electroencephalography (EEG) or other measures of brain functions can be implemented for communication with smart devices for disabled persons. For connection with different smart devices was used recorded with experimental setup electrophysiological signals for execution of five different mental tasks. The recorded brain signals were processed for their transformation into commands to different devices. This signal processing aims to extract some specific features of brain signals and transform them into algorithms for connection with smart devices. Processed signals after noise filtering, clustering and classification with Bayesian Network classifier and pair-wise classifier was estimated and put into brain-computer interface for connection with smart devices. Recent advances in emotion recognition use a combination of two intrapersonal modalities face and EEG to estimate emotion. In this research is made an attempt to combine received results on the base of record electrophysiological signals at execution of five different mental tasks with estimation of human emotion. This will help to provide a framework for reliable EEG emotional state estimation combined with facial emotion analysis in developed task-oriented BCI.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133670502","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

GPU-BASED OBJECT IDENTIFICATION IN LARGE-SCALE IMAGES FOR REAL-TIME RADAR SIGNAL ANALYSIS 基于gpu的大尺度图像目标识别，用于实时雷达信号分析

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/P002225

I. Shioya, Takahiro Yamamoto

引用次数: 1

MODELLING THE PERFORMANCE OF CLASS-BASED WEIGHTED FAIR QUEUE USING OPNET 利用opnet对基于类的加权公平队列进行性能建模

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/p001709

Idris Zakariyya, Mohd Nazri Ismail M Nordin A Rahman

{"title":"MODELLING THE PERFORMANCE OF CLASS-BASED WEIGHTED FAIR QUEUE USING OPNET","authors":"Idris Zakariyya, Mohd Nazri Ismail M Nordin A Rahman","doi":"10.17781/p001709","DOIUrl":"https://doi.org/10.17781/p001709","url":null,"abstract":"Congestion control and internet network resources management are complex and critical issues in a high-speed packet switch data network, due to the emergence growth of modern multimedia streaming services. The increasing number of computer users in various organizations and institutions of higher learning have spurred a great deal of research on network traffic control. Network administrators are facing the challenges of providing efficient services that can satisfy user requirements. This research study proposed queuing algorithm based on classbased weighted fair queue scheme to complement congestion. Network simulation environment are designed and modeled using OPNET simulation software in-order to overcome the limitation of the traditional queuing approach. Various simulations scenarios are conducted. Analysis comparison with first-in-first-out and priority queue is recorded. And also, various network traffics such as: HTTP, video conferencing and voice applications among others are considered. From the graphical results obtained clearly shows that the overall applications services performances optimize significantly. In terms of the throughput, packet loss and queuing delay, the algorithms performs excellently compared with the FIFO and priority queue. This paper examines the implication of queuing scheduling algorithms on an IP router. It also outlines the effectiveness of the proposed algorithm in managing network resources during the period of congestion.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133228567","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

Acceleration of Canny Edge Detection Algorithm Using Parallel Clusters 基于并行聚类的Canny边缘检测算法加速

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/P002370

Njood S. Alassmi, S. S. Zaghloul

{"title":"Acceleration of Canny Edge Detection Algorithm Using Parallel Clusters","authors":"Njood S. Alassmi, S. S. Zaghloul","doi":"10.17781/P002370","DOIUrl":"https://doi.org/10.17781/P002370","url":null,"abstract":"Image processing is a computational operation that requires many CPU cycles for simple image transformation. It takes every pixel of an image to perform a transformation to a new image. The image can be divided into smaller chunks, with same transformation operations being implemented on each. Thus, image processing is a good candidate for running on a parallel processor to improve the speed of computation when there are multiple images to be processed. In fact, this research focuses on Canny edge detection as a case study of probing parallelism. This work presents the design and implementation of sequential and parallel edge detection algorithms that are capable of producing high-quality results and performing at high speed. Therefore, this research aims to improve the Canny edge detection algorithm in terms of speed and scalability with different sizes of images. The algorithm is implemented using parallel clusters on KACST’s SANAM supercomputer. It is found that there is a valuable gained speedup with respect to the sequential version.In addition, it is found that more parallelism is explored in larger image sizes with Canny edge detector.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132961408","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

TESTING RESOURCE ALLOCATION FOR MODULAR SOFTWARE USING GENETIC ALGORITHM 基于遗传算法的模块化软件资源分配测试

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/p001647

M. Nasar, P. Johri

引用次数: 0

APPLICATION-AGNOSTIC INTERACTIVE DATA: MANAGING HCI COMPLEXITY AT THE SOURCE 与应用程序无关的交互数据:从源头管理hci复杂性

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/P001

A. Gaffar

引用次数: 2

Speeding Up Canny Edge Detection Using Shared Memory Processing 利用共享内存处理加速边缘检测

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/P002313

S. S. Zaghloul, Njood S. Alassmi

{"title":"Speeding Up Canny Edge Detection Using Shared Memory Processing","authors":"S. S. Zaghloul, Njood S. Alassmi","doi":"10.17781/P002313","DOIUrl":"https://doi.org/10.17781/P002313","url":null,"abstract":"Image processing is a computational operation that requires many CPU cycles for simple image transformation. It takes every pixel of an image to perform a transformation to a new image. The image can be divided into smaller chunks, with same transformation operations being implemented on each. Thus, image processing is a good candidate for running on a parallel processor to improve the speed of computation when there are multiple images to be processed. In fact, this research focuses on Canny edge detection as a case study of probing parallelism. This work presents the design and implementation of sequential and parallel edge detection algorithms that are capable of producing high-quality results and performing at high speed. Therefore, this research aims to improve the Canny edge detection algorithm in terms of speed and scalability with different sizes of images. The algorithm is implemented using Java language with the Parallel Java library. In the first phase of the project, the Canny is implemented on a sharedmemory processor. It is found that there is a valuable gained speedup with respect to the sequential version. In addition, it is found that more parallelism is explored in larger image sizes with Canny edge detector.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127599260","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

Forecasting of HOSR for Different Mobile Carriers in Kano Using Conventional and Intelligent Techniques 利用传统和智能技术预测卡诺不同移动载波的HOSR

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/p002599

S. B. Abdullahi

引用次数: 3

A FRAMEWORK FOR DEPLOYMENT OF EASY TO USE WIRELESS SENSOR NETWORKS FOR FARM SOIL MONITORING AND CONTROL: A CASE STUDY OF HORTICULTURE FARMS IN PWANI REGION TANZANIA 为农田土壤监测和控制部署易于使用的无线传感器网络的框架:对坦桑尼亚pwani地区园艺农场的案例研究

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/p001927

Kosmas Kapis, Mathias Ombeni

引用次数: 2

FUTURE MOTION DECISIONS USING STATE-ACTION PAIR PREDICTIONS 使用状态-动作对预测的未来运动决策

International journal of new computer architectures and their applications Pub Date : 1900-01-01 DOI: 10.17781/p001896

Masashi Sugimoto, K. Kurashige

引用次数: 4