2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)最新文献_第3页

Battery Measurement on Experimental Testbed for Wireless Communication through Xbee 基于Xbee的无线通信试验台电池测量

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538392

D. P. Dahnil, Supiah Selamat, K. A. Bakar, R. Hassan, G. Ahmad Ismail

引用次数: 0

Managing Textual Data Semantically In Relational Databases 关系型数据库中文本数据的语义管理

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538426

W. Yafooz, Siti Zalaha Abdin, SK Ahammad Fahad

{"title":"Managing Textual Data Semantically In Relational Databases","authors":"W. Yafooz, Siti Zalaha Abdin, SK Ahammad Fahad","doi":"10.1109/ICSCEE.2018.8538426","DOIUrl":"https://doi.org/10.1109/ICSCEE.2018.8538426","url":null,"abstract":"the massive volume of data in databases, web pages, and document files usually causes information to be disorganized and unclear for the user. Therefore, information in such an environment can be classified into three forms: structured, semistructured, or unstructured. Structured information is the best form of information because it facilitates the acquisition and comprehension of knowledge. Relational Database Management System (RDBMS) has a robust structure that manages, organizes and retrieves data. There are many attempts have been made in order to deal with such data. These attempts can be categorized into three groups: within a database schema, by a developed data model within the database, or by query-based techniques in database. Nonetheless, RDBMS contain massive amount of unstructured data such as textual data.. This paper proposed Textual Virtual Schema Model (TVSM). TVSM is conducted to perform semantic textual data linking and clustering and is embedded in the relational database structure (schema). In addition, linking and converting the unstructured information to structured data. Quality improvement of textual data clusters. Achievement of high query processing efficiency in retrieving data clusters. TVSM initially developed to assist researchers, developers, and database administrators who are concerned on unstructured information management, information extraction, multi-document clustering, information retrieval, query processing efficiency, personal information management, question answering, information integration, news tracking, and news summarization","PeriodicalId":265737,"journal":{"name":"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)","volume":"31 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":"122000755","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

Wireless Sensor Network Performance Evaluation on Building with ZigBee Transmission 基于ZigBee传输的楼宇无线传感器网络性能评估

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538365

Octarina Nur Samijayani, A. Muthiah

{"title":"Wireless Sensor Network Performance Evaluation on Building with ZigBee Transmission","authors":"Octarina Nur Samijayani, A. Muthiah","doi":"10.1109/ICSCEE.2018.8538365","DOIUrl":"https://doi.org/10.1109/ICSCEE.2018.8538365","url":null,"abstract":"With the growing of smart buildings, the pursuit on using the right communication technology is crucial. ZigBee as known for a low data rate, low power, and low cost wireless communication standard for building control applications, well suited for use. This leads to the problem identification which is manufacturers that indicates the ZigBee device’s or XBee performance specification in a Line of Sight (LOS) setting, that it becomes difficult to indicate such performance in real indoor scenarios, with many obstacles in between transmissions. Conducting range and throughput tests are some of the ways to evaluate and analyze the XBee device’s performance. Which the results show that the Received Signal Strength Indicator (RSSI) values in the LOS setting are much greater than the Non-Line of Sight (NLOS) setting. With values such as −67.8 dBm in the LOS setting, while values such as −80.54 dBm in the NLOS setting. Then for the packet loss and error results, it shows that the LOS setting has a lower rate of packet loss and error than the NLOS setting. With packet losses and error below 0.21% in the LOS setting, while in the NLOS setting the packet losses and error can be as big as 7.60%. Which also shows that the PTP network tend to have more packet losses and error than the Multi network, as much as 30 packets, even though it does have faster transmission than the Multi network, which can go as fast as 3.164 kbps. As for the LQI network, in the NLOS setting, shows that distances above 10 meters tend to be unstable and weaken. Concluding that for indoor transmissions, such as buildings, with many obstacles, the recommended operating range for the XBee device used in this research is up to 10 meters, and the recommended network is the Multi network (mesh network).","PeriodicalId":265737,"journal":{"name":"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)","volume":"13 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":"122322831","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

An Effective Enhancement and Segmentation of Coronary Arteries in 2D Angiograms 冠状动脉二维造影的有效增强和分割

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538411

S. Zai, Asad Abbas

{"title":"An Effective Enhancement and Segmentation of Coronary Arteries in 2D Angiograms","authors":"S. Zai, Asad Abbas","doi":"10.1109/ICSCEE.2018.8538411","DOIUrl":"https://doi.org/10.1109/ICSCEE.2018.8538411","url":null,"abstract":"Vessel enhancement in two-dimensional angiogram images is an essential pre-requisite step towards the isolation of coronary arteries. Hessian-based filters are the most commonly used vessel enhancement filters; however, these filters are more sensitive to noise and suppress the bifurcation regions. Suppression of bifurcation regions results in disconnected vessels. In this study, we present a technique that enhances the arteries of the heart in 2D angiograms and also refines the noisy vesselness obtained through Frangi’s method by using guided filter which produces more enhanced image that can be used as an effective pre-processing step for binarization of the Frangi vessel response having less discontinuities and joint suppression. The proposed approach makes use of the guided filter which smooths the edges, and at the same time preserves the edges as well for the enhancement of vessels. Following this filter, an Adaptive thresholding is applied to segment the coronary arteries from the angiogram. The proposed method has been tested on real angiography images and the efficiency of the method has been shown qualitatively as well as quantitatively.","PeriodicalId":265737,"journal":{"name":"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)","volume":"36 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":"126089427","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

Performance Evaluation of a WDM Optical Network Node with Wavelength Convertible Optical Burst Switching 波长可转换光突发交换的WDM光网络节点性能评价

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538430

R. Akhter, S. Majumder

引用次数: 5

The Adoption of Social Learning Systems in Higher Education: Extended TAM 高等教育中社会学习系统的采用:扩展TAM

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538371

Samer Bamansoor, B. Kayode, Abdulsalam K. Alhazmi, S. I. Ahmad Saany

引用次数: 4

Effect on Detection and False Alarm Probabilities by Reporting Channel Based Contribution (RCBC) 基于信道贡献(RCBC)对检测概率和虚警概率的影响

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538433

Mubashar Iqbal, Wahab Khan, Asim Altaf Shah, Junaid Imtiaz

{"title":"Effect on Detection and False Alarm Probabilities by Reporting Channel Based Contribution (RCBC)","authors":"Mubashar Iqbal, Wahab Khan, Asim Altaf Shah, Junaid Imtiaz","doi":"10.1109/ICSCEE.2018.8538433","DOIUrl":"https://doi.org/10.1109/ICSCEE.2018.8538433","url":null,"abstract":"Cognitive Radio Networks (CRNs) help in effective utilization of the spectrum of licensed user by allocating the spectrum to cognitive user (CU) when it is vacant. In a cooperative environment, individual CU senses the spectrum and report the sensed result to a centralized controller of CRN which makes a global decision regarding the spectrum. Two important performance metrics defines a CRN; probability of detection and probability of false alarm. At the centralized controller various fusion rules can be used to make global probabilities of detection and false alarm from the individual sensed result reported by CU. Practically as the number of sensed results reports at centralized controller increases, the loss probability of sensed reports also increases. This paper proposes reporting contributions for CU based on reporting channel condition. The proposed technique Reporting Channel Base Contribution (RCBC) limits the number of CU’s contributions for the final global probability of detection and false alarm based on various fusion rules. Detailed analytical and numerical analysis are covered in this paper. Simulation results show a great improvement in the global results when RCBC technique is compared with Reporting loss.","PeriodicalId":265737,"journal":{"name":"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)","volume":"85 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":"132512624","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

A Cost-Competitive Twin Programmable Microcontroller-based Digital Potentiometer for Low Range Resistance Application in Automotive Testing 基于双可编程微控制器的低量程电阻数字电位器在汽车测试中的应用

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538362

W. Jamaludin, M. Mahyuddin, N. H. Hanafi, D. Ishak

引用次数: 0

Development of Web Based E-Cooperative Training System 基于Web的电子合作培训系统的开发

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538367

Rayid Alanezi, M. A. Alanezi, Nayyar Ahmed Khan

引用次数: 1

Development of GUI For Automated Oil Palm Tree Counting Based On Remote Sensing Imagery 基于遥感影像的油棕树自动计数GUI开发

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538435

S. Daliman, Nina Shakina Md Kamal, S. Ahmad

引用次数: 1