2014 International Conference on Computer and Information Sciences (ICCOINS)最新文献_第9页

A computer aided system for breast cancer detection and diagnosis 一种用于乳腺癌检测和诊断的计算机辅助系统

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868355

Hamada R. H. Al-Absi, B. Samir, S. Sulaiman

引用次数: 6

Social commerce from the Information Systems perspective: A systematic literature review 信息系统视角下的社交商务:系统文献综述

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868435

M. Shanmugam, Yusmadi Yah Jusoh

引用次数: 14

Communication risks in GSD during RCM: Results from SLR RCM期间GSD的沟通风险:来自SLR的结果

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868448

A. Khan, S. Basri, P. Dominic

引用次数: 18

Empirical analysis of parallel-NARX recurrent network for long-term chaotic financial forecasting 并行- narx循环网络用于长期混沌财务预测的实证分析

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868354

S. J. Abdulkadir, S. Yong

引用次数: 17

Enhance the performance of ICMP protocol by reduction the IP over ethernet naming architecture 通过减少IP over ethernet的命名体系结构，提高ICMP协议的性能

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868392

W. K. Alzubaidi, Long-Zheng Cai, Shaymaa A. Alyawer

引用次数: 4

Real-time video enhancement for various weather conditions using dark channel and fuzzy logic 利用暗信道和模糊逻辑对各种天气条件下的实时视频进行增强

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868351

A. Alajarmeh, R. A. Salam, M. F. Marhusin, K. Abdulrahim

{"title":"Real-time video enhancement for various weather conditions using dark channel and fuzzy logic","authors":"A. Alajarmeh, R. A. Salam, M. F. Marhusin, K. Abdulrahim","doi":"10.1109/ICCOINS.2014.6868351","DOIUrl":"https://doi.org/10.1109/ICCOINS.2014.6868351","url":null,"abstract":"Rain, fog and haze are natural phenomena that fade scenes, limit the visibility range, and cause shifts in colors. These phenomena also play a decisive role in determining the degree of reliability of many kinds of outdoor applications, such as aerial and satellite imaging, surveillance, and driver assistance systems. Thus, removing their effects from images/videos is very crucial. Due to its mathematically ill posed nature, enhancement process of rain, fog, and haze plagued images/videos is highly challenging. In this paper, we propose a fast yet robust technique to enhance the visibility of video frames using the dark channel prior combined with fuzzy logic-based technique. The dark channel prior is a statistical regularity of outdoor haze-free images based on the observation that most local patches in the haze-free images contain pixels which are dark in at least one color channel, where the fuzzy logic-based technique is used to map an input space to an output space using a collection of fuzzy membership functions and rules to decide softly in case of uncertainties. The combination of the dark channel and the fuzzy logic-based technique will produce high quality haze-free images in real-time. Furthermore, it will be combined with rules derived from the stable atmospheric scattering model and will yield a fast yet high quality enhancement results.","PeriodicalId":368100,"journal":{"name":"2014 International Conference on Computer and Information Sciences (ICCOINS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124007167","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: 8

Filters for device-free indoor localization system based on RSSI measurement 基于RSSI测量的无设备室内定位系统滤波器

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868386

N. Pirzada, Yunus Nayan, Fadzil Hassan, F. Subhan

{"title":"Filters for device-free indoor localization system based on RSSI measurement","authors":"N. Pirzada, Yunus Nayan, Fadzil Hassan, F. Subhan","doi":"10.1109/ICCOINS.2014.6868386","DOIUrl":"https://doi.org/10.1109/ICCOINS.2014.6868386","url":null,"abstract":"Based on wireless sensor networks, device-free indoor localization technique has received much attention in the field of indoor localization system Due to different indoor environmental parameters, multipath fading, human presences and different system configurations, the WiFi-based received signal strength indicator values are affected. This problem leads the researchers to choose any filter or smoothing algorithm to get proper values of received signal strength in the indoor environment. The aim of using the filter or smoothing algorithm is to get a signal value which can clearly identify the changes in the signal values due to interferences caused by various factors in the indoor environment. Wi-Fi based device-free indoor localization technique has become more attractive because its simplicity, as well as it does not require extra hardware. However the implementation of this technique in the indoor environment becomes complex, sometimes because of imprecise and unreliable readings caused by multipath fading. There are various filters designed and tested to remove the inconsistencies occurring in RSSI readings due to the various environmental effects. This paper presents various types of filters which are used for smoothing the raw data received signal strength indicator values and also improving the strength of these values by mitigating multipath fading effects in an indoor environment.","PeriodicalId":368100,"journal":{"name":"2014 International Conference on Computer and Information Sciences (ICCOINS)","volume":"2022 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123836120","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: 16

Evaluation of online system acceptance through airlines websites in Malaysia 通过马来西亚航空公司网站进行在线系统验收评估

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868407

P. Dominic, Humera Khan

引用次数: 4

Identifying universal facial emotion markers for automatic 3D facial expression recognition 用于自动三维面部表情识别的通用面部情绪标记

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868369

Amal Azazi, S. Lutfi, Ibrahim Venkat

{"title":"Identifying universal facial emotion markers for automatic 3D facial expression recognition","authors":"Amal Azazi, S. Lutfi, Ibrahim Venkat","doi":"10.1109/ICCOINS.2014.6868369","DOIUrl":"https://doi.org/10.1109/ICCOINS.2014.6868369","url":null,"abstract":"Facial expressions convey human emotions as a simple and effective non-verbal communication method. Motivated by this special characteristic, facial expression recognition rapidly gains attention in social computing fields, especially in Human Computer Interaction (HCI). Identifying the optimal set of facial emotion markers is an important technique that not only reduces the feature vector dimensionality, but also impacts the recognition accuracy. In this paper, we propose a new emotion marker identification algorithm for automatic and person-independent 3D facial expression recognition system. First, we mapped the 3D face images into the 2D plane via conformal geometry to reduce the dimensionality. Then, the identification algorithm is designed to seek the best discriminative markers and the classifier parameters simultaneously by integrating three techniques viz., Differential Evolution (DE), Support Vector Machine (SVM) and Speed Up Robust Feature (SURF). The proposed system yielded an average recognition rate of 79% and outperformed the previous studies using the Bosphorus database.","PeriodicalId":368100,"journal":{"name":"2014 International Conference on Computer and Information Sciences (ICCOINS)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123394582","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

Color space selection for human skin detection using color-texture features and neural networks 基于颜色纹理特征和神经网络的人体皮肤检测颜色空间选择

2014 International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2014-06-03 DOI: 10.1109/ICCOINS.2014.6868362

Hani K. Al-Mohair, J. Mohamad-Saleh, S. A. Suandi

{"title":"Color space selection for human skin detection using color-texture features and neural networks","authors":"Hani K. Al-Mohair, J. Mohamad-Saleh, S. A. Suandi","doi":"10.1109/ICCOINS.2014.6868362","DOIUrl":"https://doi.org/10.1109/ICCOINS.2014.6868362","url":null,"abstract":"Skin color is a robust cue in human skin detection. It has been widely used in various human-related image processing applications. Although many researches have been carried out for skin color detection, there is no consensus on which color space is the most appropriate for skin color detection because many researchers do not provide strict justification of their color space choice. In this paper, a comprehensive comparative study using the Multilayer Perceptron artificial neural network (MLP), which is a universal classifier, is carried out to evaluate the overall performance of different color-spaces for skin detection. It aims at determining the most optimal color space using color and color-texture features separately. The study has been carried out using images of different databases. The experimental results showed that the YIQ color space gives the highest separability between skin and non-skin pixels among the different color spaces tested using color features. Combining color and texture eliminates the differences between color spaces but leads to much more accurate and efficient skin detection.","PeriodicalId":368100,"journal":{"name":"2014 International Conference on Computer and Information Sciences (ICCOINS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128796554","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: 20