2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC)最新文献

Efficient Transmission of Geo-localization Information for Pervasive Wireless Networking 普适无线网络中地理定位信息的高效传输

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/ICISPC44900.2018.9006685

Longjiang Li, Jianjun Yang, Y. Mao

引用次数: 0

A Text Preprocessing Framework for Text Mining on Big Data Infrastructure 面向大数据基础架构的文本挖掘文本预处理框架

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/ICISPC44900.2018.9006718

Watcharaporn Sriyanong, Nunnapus Moungmingsuk, Nattawat Khamphakdee

{"title":"A Text Preprocessing Framework for Text Mining on Big Data Infrastructure","authors":"Watcharaporn Sriyanong, Nunnapus Moungmingsuk, Nattawat Khamphakdee","doi":"10.1109/ICISPC44900.2018.9006718","DOIUrl":"https://doi.org/10.1109/ICISPC44900.2018.9006718","url":null,"abstract":"There are many people using social media to comment appearance of a various event and post own activity in every day. The business organizations and industries can use social media to improve a produce by using the technique of text mining. However, a single machine cannot perform to compute a large amount of data because it has the resource limitation such as CPU, main memory, storage and so on. Moreover, a data also consists of structured and unstructured data that must be prepared before a computation with text mining or machine learning. Therefore, the text preprocessing becomes one of the most very important tasks because it includes many steps. In this paper, we design and develop an efficient text preprocessing framework on a big data infrastructure, which is proposed to support the text preprocessing task to reduce the computation time. The framework consists of the main four modules: Data collection module, storage module, data cleaning module and feature extraction module. We collected the sentiment data from Facebook page, named “Tasty” that has more than 90 million members for the performance evaluation. The data was separated into different three sizes and each dataset was tested on different the cluster system environments. Moreover, we also compared the computation time between the proposed our framework and the single machine. As the result, our framework can reduce the computation time significantly. Thus, this framework can apply to solve the problem of the complex text preprocessing in text mining areas.","PeriodicalId":396358,"journal":{"name":"2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC)","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124612643","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: 4

Performance of Ergodic and Outage Capacities in the Presence of Random Blockage Under Generalized Fading Channels 广义衰落信道随机阻塞下遍历和中断容量的性能

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/ICISPC44900.2018.9006714

Fares S. Almehmadi

引用次数: 1

[Title page] (标题页)

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/icispc44900.2018.9006719

引用次数: 0

Performance and Cost Analysis of an NB-IoT based Smart Factory Solution with OneNet Cloud 基于OneNet云的NB-IoT智能工厂解决方案的性能和成本分析

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/ICISPC44900.2018.9006674

Yan Lu, Yi Zhou, E. Tong, Fei Ding, Jingye Wu

引用次数: 3

Investigate the Impact of Colour to Grayscale Conversion on Sound Recovery via Visual Microphone 研究彩色到灰度转换对视觉麦克风声音恢复的影响

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/ICISPC44900.2018.9006691

S. Y. Lee, W. Yap, Y. Hum, B. Goi, Y. Tee

{"title":"Investigate the Impact of Colour to Grayscale Conversion on Sound Recovery via Visual Microphone","authors":"S. Y. Lee, W. Yap, Y. Hum, B. Goi, Y. Tee","doi":"10.1109/ICISPC44900.2018.9006691","DOIUrl":"https://doi.org/10.1109/ICISPC44900.2018.9006691","url":null,"abstract":"Visual microphone is one of the remote sound acquisition methods utilizing the subtle vibrations caused by sound on an object to partially recover the sound that causes them via a video footage of the object. Although good quality sounds have been successfully recovered using the visual microphone technique, no study has considered the impact of the chosen colour-to-grayscale conversion methods on the sound recovery. Studies in computer vision areas such as image recognition found that the method used to convert colour to grayscale had significant influence on the performance and results. Thus, this work was performed to evaluate the impact of different colour to grayscale conversions on sound recovery using the visual microphone technique. An intelligibility metric was used to evaluate the sounds recovered using the different conversions. The results showed that the choice of colour to grayscale conversion did have an impact on sound recovery via the visual microphone technique. The conversion based on weighted averaged of pure colour channels (red, green and blue), e.g., Intensity and Luminance, and perceptually uniform grayscale representation used in International Commission on Illumination (CIE) 1976 L*a*b*, performed better when compared to other methods.","PeriodicalId":396358,"journal":{"name":"2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC)","volume":"51 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120850588","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

A Color-Based High Temperature Extraction Method in Breast Thermogram to Classify Cancerous and Healthy Cases using SVM 基于支持向量机的乳腺热像图颜色高温提取方法

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/ICISPC44900.2018.9006694

K. Al-Rababah, S. Doraisamy, M. Rina, F. Khalid

{"title":"A Color-Based High Temperature Extraction Method in Breast Thermogram to Classify Cancerous and Healthy Cases using SVM","authors":"K. Al-Rababah, S. Doraisamy, M. Rina, F. Khalid","doi":"10.1109/ICISPC44900.2018.9006694","DOIUrl":"https://doi.org/10.1109/ICISPC44900.2018.9006694","url":null,"abstract":"Breast cancer claims thousands of lives every year. Detecting the disease early can save lives. There is a quite growing research towards detecting cancer from breast thermograms; nevertheless few have investigated role of the color channels on segmentation and feature extraction using different measurements which include sensitivity, accuracy, and specificity. The objective of this research is three fold. Firstly, to investigate the impact of using the green and blue channels on segmenting both the left and right breasts toward improving cancer detection. Secondly, the impact of using features based on three channels: Red and Green and Blue. Thirdly, we compare between the impacts on classification performance when using mean based on a grayscale version of the color image and when using the mean based on three color channels. In this research, we use thermogram images from Brazil. Each patient in the images dataset has undergone a mammogram and based on the mammogram the patient is labeled as being sick or not sick. To classify an image as being normal or not, a histograms-based method is developed first. Extracting the high heat which represents the body temperature that exists in the breast area of the image can give a strong indication of some kind of abnormality present in a breast. Here, we used the histogram based technique to process an image to produce either one that represents the high heat, some high heat or none in the breast and then we correlate some features from the extracted image related to three color channels to support the abnormality indication. Using extracted features and SVM, we achieved high measurements in differentiating between cancerous and healthy images and also noticeable improvement over the original cropped images using the same features.","PeriodicalId":396358,"journal":{"name":"2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130205564","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

Variable IIR Digital Band-Pass and Band-Stop Filters 可变IIR数字带通和带阻滤波器

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/ICISPC44900.2018.9006707

N. Phuoc

引用次数: 2

Study of Speech Enhancement Based on the Second-Order Differential Microphone Array 基于二阶差分麦克风阵列的语音增强研究

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/ICISPC44900.2018.9006721

Gu Junlong, Li Dongmei, Liu Runsheng

引用次数: 0

Angle-of-Arrival Analysis of Multi-channel Stereo Ultrasonic Signal for Angular Coordinates Positioning 角坐标定位中多通道立体超声信号的到达角分析

2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC) Pub Date : 2018-07-01 DOI: 10.1109/ICISPC44900.2018.9006712

Woottichai Nonsakhoo, Saiyan Saiyod, Nunnapus Moungmingsuk

引用次数: 1