• Title/Summary/Keyword: Active Data Collection

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Improvement of an Identified Slot Sacn-Based Active RFID Tag Collection Algorithm (인식 슬롯 스캔 기반 능동형 RFID 태그 수집 알고리즘 개선)

  • Yoon, Won-Ju
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.3
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    • pp.199-206
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    • 2013
  • This paper proposes a modified tag collection algorithm that improves the drawback of the identified slot scan-based tag collection algorithm presented in a previous paper to improve the tag collection performance in active RFID systems. The previous identified slot scan-based tag collection algorithm is optimized in situations where all the tags store the fixed size of data, so it could not result in a good performance improvement with tags having the variable size of data. The improved tag collection algorithm proposed in this paper first collects the slot size information required for the data transmission from each tag via the identified slot scan phase, and then performs the tag collection phase using the information, which resolves the problem of the previous identified slot scan-based tag collection algorithm. The simulation results for performance evaluation showed that the proposed tag collection algorithm resulted in the almost same tag collection performance as the previous algorithm when all the tags have the same size of data and led a large improvement of the tag collection performance in ISO/IEC 18000-7 unlike the previous algorithm when each tag has a random size of data.

Simplified Tag Identification Algorithm by Modifying Tag Collection Command in Active RFID System

  • Lim, Intaek
    • Journal of Multimedia Information System
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    • v.7 no.2
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    • pp.137-140
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    • 2020
  • In this paper, we propose a simplified tag collection algorithm to improve the performance of ISO / IEC 18000-7, the standard of active RFID systems. In the proposed algorithm, the collection command is modified to include the result of the listening period response from the previous round. The tag, which has received the collection command, checks whether the slot to which it has responded is collided, transmits additional data to its data slot without a point-to-point read command and sleep command, and transitions to the sleep mode. The collection round in the standard consists of a series of collection commands, collection responses, read commands, read responses, and sleep commands. On the other hand, in the proposed tag collection algorithm, one collection round consists only of a collection command and a collection response. As a result of performance analysis, it can be seen that the proposed technique shows superior performance compared to the standard.

A Light-weighted Data Collection Method for DNS Simulation on the Cyber Range

  • Li, Shuang;Du, Shasha;Huang, Wenfeng;Liang, Siyu;Deng, Jinxi;Wang, Le;Huang, Huiwu;Liao, Xinhai;Su, Shen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.8
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    • pp.3501-3518
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    • 2020
  • The method of DNS data collection is one of the most important parts of DNS simulation. DNS data contains a lot of information. When it comes to analyzing the DNS security issues by simulation on the cyber range with customized features, we only need some of them, such as IP address, domain name information, etc. Therefore, the data we need are supposed to be light-weighted and easy to manipulate. Many researchers have designed different schemes to obtain their datasets, such as LDplayer and Thales system. However, existing solutions consume excessive computational resources, which are not necessary for DNS security simulation. In this paper, we propose a light-weighted active data collection method to prepare the datasets for DNS simulation on cyber range. We evaluate the performance of the method and prove that it can collect DNS data in a short time and store the collected data at a lower storage cost. In addition, we give two examples to illustrate how our method can be used in a variety of applications.

Simplified Tag Collection Algorithm for Improving Performance of Active RFID System (능동형 RFID 시스템의 성능 개선을 위한 간소화된 태그 수집 알고리즘)

  • Lim, Intaek
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.4
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    • pp.731-736
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    • 2017
  • In this paper, we propose a simplified tag collection algorithm to improve the performances of ISO/IEC 18000-7, which is a standard for an active RFID system. The proposed algorithm modifies the collection command that enables to start a tag collection round. The modified collection command includes the results of the listen period response for the previous collection round. Tags that receive the collection command check the collision status for their responses. If there is no collision, tags transmit their additional data and go into the sleep mode without the point-to-point read command and sleep command. A collection round for the standard consists of a collection command and response, a read command and response, and sleep command. On the other hand, in the proposed algorithm, a collection round consists of a collection command and response. The simulation results showed that the proposed algorithm can improve the identification delay about 16% compared with the standard when the number of tags are 300.

A Message Reduction Method for Performance Improvement of the ISO/IEC 18000-7 based Active RFID System (ISO/IEC 18000-7 기반 능동형 RFID 시스템의 성능 개선을 위한 메시지 감소 기법)

  • Yoon, Won-Ju;Chung, Sang-Hwa;Kang, Su-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.12B
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    • pp.1459-1467
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    • 2009
  • In this paper, we propose a novel method for improving the tag collection performance in active RFID systems by modifying the tag collection algorithm in the ISO/IEC 18000-7 standard. The proposed method enables to reduce the time slot size by reducing the response message size from the tag and to decrease the number of command messages from the reader throughout the tag collection process. This results in reducing the time required for tag collection and the battery consumption on tags by decreasing the total amount of messages. Via the simulation experiments, we evaluated the performance of the tag collection applied with the proposed method, compared with that of the basic tag collection complying with the standard. The simulation results showed that the proposed method could decrease the total amount of messages between the reader and tags dramatically and reduce the average tag collection time by 19.99% and 16.03% when the reader requested the additional data of 50 bytes and 100 bytes from the tags, respectively.

Numerical Formula and Verification of Web Robot for Collection Speedup of Web Documents

  • Kim Weon;Kim Young-Ki;Chin Yong-Ok
    • Journal of Internet Computing and Services
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    • v.5 no.6
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    • pp.1-10
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    • 2004
  • A web robot is a software that has abilities of tracking and collecting web documents on the Internet(l), The performance scalability of recent web robots reached the limit CIS the number of web documents on the internet has increased sharply as the rapid growth of the Internet continues, Accordingly, it is strongly demanded to study on the performance scalability in searching and collecting documents on the web. 'Design of web robot based on Multi-Agent to speed up documents collection ' rather than 'Sequentially executing Web Robot based on the existing Fork-Join method' and the results of analysis on its performance scalability is presented in the thesis, For collection speedup, a Multi-Agent based web robot performs the independent process for inactive URL ('Dead-links' URL), which is caused by overloaded web documents, temporary network or web-server disturbance, after dividing them into each agent. The agents consist of four component; Loader, Extractor, Active URL Scanner and inactive URL Scanner. The thesis models a Multi-Agent based web robot based on 'Amdahl's Law' to speed up documents collection, introduces a numerical formula for collection speedup, and verifies its performance improvement by comparing data from the formula with data from experiments based on the formula. Moreover, 'Dynamic URL Partition algorithm' is introduced and realized to minimize the workload of the web server by maximizing a interval of the web server which can be a collection target.

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Analysis of the preppy look design as shown in the domestic men's wear collection (국내 남성복 컬렉션에 나타난 프레피 룩 디자인 분석)

  • Kim, Ji Young
    • The Research Journal of the Costume Culture
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    • v.23 no.6
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    • pp.987-1003
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    • 2015
  • The purpose of this study is to supply available data for men's fashion design planning by analyzing the trend and design tendency of the preppy look in the domestic men's collection. In the men's collection of Seoul fashion week from 2011 S/S to 2015 S/S, 494 photos judged to be the preppy look by three design specialists were chosen in Seoul fashion week and style.com's web-site. Design analyses were compiled based on year, season, brands, item, color, material, and silhouette. The preppy look was found often in S/S season, three piece combinations were the most common, and "H", "I" silhouettes were also popular. Refined black and refreshing orange were used with traditional preppy colors like navy, beige, gray, and white. Contrast color arrangement and neutral, moderate tones were seen repeatedly. Two-thirds of fabrics were pattern-less with clean, bulky, and soft textures. Coordinating accessories like hats, backpacks, books, headsets were used frequently. Among the various preppy fashion types, there were 'traditional preppy' faithful to tradition, 'sophisticated preppy' with refined semi-formal look, 'sportive preppy' with active sports sense, and 'natural preppy' with natural and comfortable senses. In a contemporary preppy look, traditional and practical senses are combined with casual and sportive pieces. This study can provide the data for design planning, interpreting, and applying the fashion themes along with contemporary sensibilities since the preppy look is based on cultural history.

A Development Method of Framework for Collecting, Extracting, and Classifying Social Contents

  • Cho, Eun-Sook
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.1
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    • pp.163-170
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    • 2021
  • As a big data is being used in various industries, big data market is expanding from hardware to infrastructure software to service software. Especially it is expanding into a huge platform market that provides applications for holistic and intuitive visualizations such as big data meaning interpretation understandability, and analysis results. Demand for big data extraction and analysis using social media such as SNS is very active not only for companies but also for individuals. However despite such high demand for the collection and analysis of social media data for user trend analysis and marketing, there is a lack of research to address the difficulty of dynamic interlocking and the complexity of building and operating software platforms due to the heterogeneity of various social media service interfaces. In this paper, we propose a method for developing a framework to operate the process from collection to extraction and classification of social media data. The proposed framework solves the problem of heterogeneous social media data collection channels through adapter patterns, and improves the accuracy of social topic extraction and classification through semantic association-based extraction techniques and topic association-based classification techniques.

Syndromic Surveillances based on the Emergency Department (응급실 증후군 감시체계의 운영 현황과 활성화 방안)

  • Cho, Joon-Pil;Min, Young-Gi;Choi, Sang-Cheon
    • Journal of Preventive Medicine and Public Health
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    • v.41 no.4
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    • pp.219-224
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    • 2008
  • Due to heightened concerns regarding possible bioterrorist attacks, the Korea Center for Disease Control and Prevention introduced syndromic surveillance systems, which have been run by emergency departments in hospitals throughout Korea since 2002. These systems are designed to identify illness clusters before diagnoses are confirmed and reported to public health agencies, to mobilize a rapid response, and thereby to reduce morbidity and mortality. The Korea Center for Disease Control and Prevention performed drop-in syndromic surveillance successfully during the World Cup Football Games in 2002, the Universiad games in 2004, and the Asian Pacific Economic Cooperation meeting in 2005. In addition, sustainable syndromic surveillance system involving the collaborative efforts of 125 sentinel hospitals has been in operation nationwide since 2002. Because active data collection can bias decisions a physician makes, there is a need to generate an automatic and passive data collection system. Therefore, the Korea Center for Disease Control and Prevention plans to establish computerized automatic data collection systems in the near future. These systems will be used not only fur the early detection of bioterrorism but also for more effective public health responses to disease.

Vision Based Traffic Data Collection in Intelligent Transportation Systems

  • Mei Yu;Kim, Yong-Deak
    • Proceedings of the IEEK Conference
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    • 2000.07b
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    • pp.773-776
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    • 2000
  • Traffic monitoring plays an important role in intelligent transportation systems. It can be used to collect real-time traffic data concerning traffic flow. Passive shadows resulted from roadside buildings or trees and active shadows caused by moving vehicles, are one of the factors that arise errors in vision based vehicle detection. In this paper, a land mark based method is proposed for vehicle detection and shadow rejection, and finally vehicle count are achieved based on the land mark detection method.

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