2018 7th International Conference on Computer and Communication Engineering (ICCCE)最新文献_第8页

Impact of Chlorophyll Concentration on Underwater Optical Wireless Communications 叶绿素浓度对水下光无线通信的影响

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/ICCCE.2018.8539297

Y. Yap, F. Jasman, T. Marcus

引用次数: 4

Comparative Analysis of Digital Filters for Received Signal Strength Indicator 接收信号强度指示器数字滤波器的比较分析

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/ICCCE.2018.8539273

Rafhanah Shazwani Rosli, M. H. Habaebi, M. R. Islam

{"title":"Comparative Analysis of Digital Filters for Received Signal Strength Indicator","authors":"Rafhanah Shazwani Rosli, M. H. Habaebi, M. R. Islam","doi":"10.1109/ICCCE.2018.8539273","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539273","url":null,"abstract":"Increasing demand in Internet of Things applications has drawn researchers to explore deeper into alternative methods that provide efficiency in terms of application, energy, cost and etc. One of the techniques proposed by the current trend is the use of Received Signal Strength Indicator value for different Internet of Things applications. It is imperative to investigate the digital signal filter for the Received Signal Strength Indicator readings to interpret it into a more reliable data. A comparative analysis of three different types of digital filters is discussed in this paper which are Simple Moving Average filter, Alpha Trimmed Mean filter and Kalman filter. There are three criteria used to observe the performance of the digital filters which are noise reduction, data proximity and delays. Based on the criteria, the choice of digital signal processing filter can be determined in accordance with its implementations. Hence, this paper portrays the possibilities of Received Signal Strength Indicator in different Internet of Things applications given a proper choice of digital signal processing filter.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122237316","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

Discrimination of Residual and Recyclable Household Waste for Automatic Waste Separation System 垃圾自动分类系统中剩余和可回收生活垃圾的区分

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/ICCCE.2018.8539337

Nurul Nazihah Ahamad, S. Mohamad, N. S. Midi, S. Yusoff, Faridah Bt Abd. Rahman

引用次数: 2

Design of an application for community reporting system 一个社区举报系统的应用设计

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/ICCCE.2018.8606798

M. Roslan, S. A.Z

引用次数: 0

ICCCE 2018 Chair's Messages 2018年icce主席致辞

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/iccce.2018.8539282

引用次数: 0

Air Born Dust Particles Effects On Microwave Propagation In Arid-Area 空气尘埃粒子对干旱区微波传播的影响

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/ICCCE.2018.8539311

E. A. Elsheikh, F. M. Suliman, I. Rafiqul, M. H. Habaebi, A. F. Ismail, Z. E. Elshaikh, J. Chebil

引用次数: 5

Terminal Cooperation using Game Theory for Energy Efficiency in Radio Access Networks: A Simulation Based Performance Analaysis 基于博弈论的无线接入网能效终端合作:基于仿真的性能分析

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/ICCCE.2018.8539262

S. Chandrasekharan, S. Kandeepan, Karina Mabell Gomezline, A. Al-Hourani, L. Reynaud, Y. Gourhant

引用次数: 0

Characteristic Analysis of Received Signal Strength Indicator from ESP8266 WiFi Transceiver Module ESP8266 WiFi收发模块接收信号强度指标特性分析

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/ICCCE.2018.8539338

Rafhanah Shazwani Rosli, M. H. Habaebi, M. R. Islam

{"title":"Characteristic Analysis of Received Signal Strength Indicator from ESP8266 WiFi Transceiver Module","authors":"Rafhanah Shazwani Rosli, M. H. Habaebi, M. R. Islam","doi":"10.1109/ICCCE.2018.8539338","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539338","url":null,"abstract":"In recent years, the Internet of Things concept has gained an immense momentum in today's technological world. Internet of Things connects devices efficiently which improves quality of life from various aspects. One of the most heavily used device for Internet of Things application is ESP8266 WiFi serial transceiver module. It is operating with Received Signal Strength Indicator feature. Characteristic analysis of the Received Signal Strength Indicator readings collected using ESP8266 WiFi serial transceiver module is done in this paper. The aim is to explore the future possibilities of Received Signal Strength Indicator value as a stand-alone and unique parameter to be used in various applications especially in the domain of Internet of Things. In addition, the potential of the cheap yet sophisticated ESP8266 WiFi serial transceiver module is also highlighted. The findings have shown an insight into the characteristics of Received Signal Strength Indicator readings and how it can be utilized for other different purposes. The findings have brought up a few stimulating issues that may arise from some implementation of Received Signal Strength Indicator readings. However, if solutions to the issues are to be introduced, it will thrust the Internet of Things' technological advancements even further.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131944975","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

Blood Vein Detection System for SmartPhones 智能手机静脉检测系统

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/ICCCE.2018.8539281

Kazi Istiaque Ahmed, M. H. Habaebi, M. R. Islam

{"title":"Blood Vein Detection System for SmartPhones","authors":"Kazi Istiaque Ahmed, M. H. Habaebi, M. R. Islam","doi":"10.1109/ICCCE.2018.8539281","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539281","url":null,"abstract":"Needle infusion into the body for the nurses or medical respondents is one of the most common activities in current clinical activities. However, a considerable number of mistakes are occurring by the medical practitioner because of the vein pattern that is beneath the human skin and sometimes unidentifiable. These inaccuracies can lead to unavoidable bad circumstances for both patients and phlebotomists. Here, a mechanism that can alleviate that is necessary. The major objective of this research is to develop a real-time process for the detection of the vein by the phlebotomists along with an application in the most widely used handheld device (Android Smartphones) to avoid or at least diminish the number of inevitable scenarios for the patients and the nurses in their SOPs. Illuminated infrared light in the blood cells of the vein is absorbed due to the manifestation of the Haemoglobin in blood and the IR non-blocking camera can capture the vein patterns in the IR light spectrum. Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was used to enhance the pattern of the vein in the Android application developed using OpenCV3. Developed system can detect the veins up to 7mm underneath of human skin in real time with a frame rate of 25fps. This is a far better improvement than commercial systems that can detect veins only below 10mm underneath the skin. Moreover, this system not only focused on needle infusion but also it can be used to indicate the place of bleeding for the clots from the human body strokes, etc. in the upper layer of skin. It can also be used to detect & measure liquids in encapsulated in confined dark bottles, for example, liquid chemical pouring into the bottles in the chemical companies, liquid medicine pouring to bottles, etc.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132865800","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

Modifying Cleaning Method in Big Data Analytics Process using Random Forest Classifier 利用随机森林分类器改进大数据分析过程中的清洗方法

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI: 10.1109/ICCCE.2018.8539254

J. Hossen, M. Z. Jesmeen H, S. Sayeed

{"title":"Modifying Cleaning Method in Big Data Analytics Process using Random Forest Classifier","authors":"J. Hossen, M. Z. Jesmeen H, S. Sayeed","doi":"10.1109/ICCCE.2018.8539254","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539254","url":null,"abstract":"Accurate data is a key success factor influencing the performance of data analytics results, especially for the detection and prediction purpose. Nowadays, Big Data analytics (BDA) is used to analyze the sheer volume of data available in an organization. These data quality must be maintained in order to obtain correct alert and valuable insights from the rapidly changing data of high volume, velocity, variety, veracity, and value. This paper aim is to modify existing framework of big data analytics by improving an important step in pre-processing (i.e. Data Cleaning). Initially, feature selection based on Random Forest is used to extract effective features. Then, two classifier algorithms (i.e. Random Forest classifier and Linear SVM classifier) are applied to train using the dataset to classify data quality and to develop an intelligent model. In evaluation, our experimental results show a consistent accuracy of Random Forest and Linear Regression around 90%. Using this approach, we expect to provide a set of cleaned data for further processing. Besides, analysts can benefit from this system in data analytical process in cleaning stage and conclude that the data is cleaned. Finally, a comparison is presented between available functions which are used to handle missing values with the developed system","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121777044","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