• Title/Summary/Keyword: problem analysis

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Performance Analysis of RFID Interference Suppression System Based on the Gold Code (골드 코드 기반의 RFID 간섭제거 시스템 성능분석)

  • khadka, Grishma;Hwang, Suk-Seung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.10
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    • pp.1491-1497
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    • 2013
  • Radio frequency identification (RFID) is an important and essential components of ubiquitous computing, with the development of wireless communication technologies and mobile computing environment. Recently, RFID becomes the mainstream application that helps fast handling and uniquely identifying the physical objects. It utilizes the electromagnetic energy for data transmission from a tag to a reader in the presence of arbitrary interference and noise. In order to employ the portable mobile RFID reader, a tag-collision problem between two or more adjacent tags should be considered. In this paper, we present the operation of RFID system in which numerous tags are present in the interrogation zone of a single reader at the same time. Since there may exist a number of tagged objects in the narrow area, multiple RFID tags may interfere each other, caused to degrade the data reliability and efficiency of the RFID system. In order to suppress interference signals from multiple neighboring tags, we present an application of Gold code for RFID communication system, which uses spread spectrum technique. In this RFID system, data bits are spreaded in each tags with the unique Gold code and the spreaded data bits are despreaded in the reader with the same Gold code. The performance analysis of the considered RFID anti-collision system is illustrated via computer simulation examples.

Comparison Between Ultrasonic and X-ray Methods for Imaging the Children′s Growth Plate (어린이 성장판 영상화를 위한 초음파와 X-선 방식의 비교 평가)

  • Kim Sang Hoo;Kim Hyung Jun;Han Eun Ok;Han Seung Moo
    • Journal of Biomedical Engineering Research
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    • v.25 no.6
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    • pp.551-556
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    • 2004
  • The purpose of this study was to suggest a systematic and scientific method for measurement of children's growth development, in which the accuracy of existing diagnosis method has not been concretely examined yet. The most popular method for diagnosis of children's growth is to analyze the opening degree of growth plate in each joint by X-ray image. However, X-ray method has some disadvantages; it is impossible to measure the diagnosis of growth periodically and repeatedly due to the radiation problem. Hence, this study introduced a profile analysis and the algorithm of analyzing the image of growth plate with the BUA(Broadband Ultrasound Attenuation) of calcaneus, to verify the possibility of alternative ultrasonic method harmless to human body. We obtained the images of growth plate in proximal tibiae, phalanges, and calcanei of 269 children (7∼16 years old) with X-ray. And the image of growth plate in calcanei was also obtained front those children with ultrasound. The results showed that the time of the opening degree of growth plate in each joint was almost consistent between X-ray and ultrasonic images. Also, the images of growth plate measured by X-ray and ultrasound showed the high correlation. Therefore, it is expected that the algorithm of ultrasonic profile analysis introduced in this study can replace the existing X-ray method to measure the growth plate correctly.

Data Bias Optimization based Association Reasoning Model for Road Risk Detection (도로 위험 탐지를 위한 데이터 편향성 최적화 기반 연관 추론 모델)

  • Ryu, Seong-Eun;Kim, Hyun-Jin;Koo, Byung-Kook;Kwon, Hye-Jeong;Park, Roy C.;Chung, Kyungyong
    • Journal of the Korea Convergence Society
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    • v.11 no.9
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    • pp.1-6
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    • 2020
  • In this study, we propose an association inference model based on data bias optimization for road hazard detection. This is a mining model based on association analysis to collect user's personal characteristics and surrounding environment data and provide traffic accident prevention services. This creates transaction data composed of various context variables. Based on the generated information, a meaningful correlation of variables in each transaction is derived through correlation pattern analysis. Considering the bias of classified categorical data, pruning is performed with optimized support and reliability values. Based on the extracted high-level association rules, a risk detection model for personal characteristics and driving road conditions is provided to users. This enables traffic services that overcome the data bias problem and prevent potential road accidents by considering the association between data. In the performance evaluation, the proposed method is excellently evaluated as 0.778 in accuracy and 0.743 in the Kappa coefficient.

Performance Analysis of Routing Protocols for WLAN Mesh Networks (WLAN Mesh 망을 위한 라우팅 기법의 성능 분석)

  • Park, Jae-Sung;Lim, Yu-Jin;Ahn, Sang-Hyun
    • The KIPS Transactions:PartC
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    • v.14C no.5
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    • pp.417-424
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    • 2007
  • Mesh networks using WLAN technology have been paid attention as a key wireless access technology. However, many technical issues still exist for its successful deployment. One of those issues is the routing problem that addresses the path setup through a WLAN mesh network for the data exchanges between a station and a wired network. Since the characteristics of a WLAN mesh network can be very dynamic, the use of single routing protocol would not fit for all environments whether it is reactive or proactive. Therefore, it is required to develop an adaptive routing protocol that modifies itself according to the changes in the network parameters. As a logical first step for the development, an analytical model considering all the dynamic features of a WLAN mesh network is required to evaluate the performance of a reactive and a proactive routing scheme. In this paper, we propose an analytical model that makes us scrutinize the impact of the network and station parameters on the performance of each routing protocol. Our model includes the size of a mesh network, the density of stations, mobility of stations. and the duration of network topology change. We applied our model to the AODV that is a representative reactive routing protocol and DSDV that is a representative proactive routing protocol to analyze the tradeoff between AODV and DSDV in dynamic network environments. Our model is expected to help developing an adaptive routing protocol for a WLAN mesh network.

An Intelligent Marking System based on Semantic Kernel and Korean WordNet (의미커널과 한글 워드넷에 기반한 지능형 채점 시스템)

  • Cho Woojin;Oh Jungseok;Lee Jaeyoung;Kim Yu-Seop
    • The KIPS Transactions:PartA
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    • v.12A no.6 s.96
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    • pp.539-546
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    • 2005
  • Recently, as the number of Internet users are growing explosively, e-learning has been applied spread, as well as remote evaluation of intellectual capacity However, only the multiple choice and/or the objective tests have been applied to the e-learning, because of difficulty of natural language processing. For the intelligent marking of short-essay typed answer papers with rapidness and fairness, this work utilize heterogenous linguistic knowledges. Firstly, we construct the semantic kernel from un tagged corpus. Then the answer papers of students and instructors are transformed into the vector form. Finally, we evaluate the similarity between the papers by using the semantic kernel and decide whether the answer paper is correct or not, based on the similarity values. For the construction of the semantic kernel, we used latent semantic analysis based on the vector space model. Further we try to reduce the problem of information shortage, by integrating Korean Word Net. For the construction of the semantic kernel we collected 38,727 newspaper articles and extracted 75,175 indexed terms. In the experiment, about 0.894 correlation coefficient value, between the marking results from this system and the human instructors, was acquired.

An Analysis of Length and Time in the Elementary Mathematics Textbooks: Focused on the Instructional Components of Measurement and Key Competencies in Mathematics (길이와 시간에 관한 초등학교 수학 교과서 분석: 측정의 교수·학습 요소 및 수학 교과 역량을 중심으로)

  • Pang, JeongSuk;Kwon, MiSun;Kim, MinJeong;Choi, InYoung;SunWoo, Jin
    • School Mathematics
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    • v.18 no.2
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    • pp.301-322
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    • 2016
  • Even though measurement is an important strand of elementary mathematics education, there has been lack of research in this field. This study analyzed topics related to length and time in a series of mathematics textbooks aligned to 2007 or 2009 revised mathematics curriculum. The analysis was focused on three aspects: (a) overall instructional components of measurement, (b) instructional components specific to the topics of measurement, and (c) key competencies in mathematics. The results of this study showed that many topics dealing with length and time were represented with relation to real-life contexts or other subjects. The meanings of measurement terms and the necessity of calculation were well explained but other aspects still had room for improvement when it comes to the necessity of measurement units, appropriate choice of units, and use of students' common misconceptions. Another noticeable result was that problem solving, communication, and reasoning among key competencies in mathematics have been emphasized in the mathematics textbooks. Based on these results, this study provides textbook writers with implications on what to further consider in dealing with length and time.

A Comparison of Pre-Service Teachers' and Students' Understanding of the Concept of Parameters as Means of Generalization (일반화 수단으로서 매개변수의 인식과 오류에 대한 연구 -중학교 2학년 학생들과 예비교사들의 인식과 오류를 중심으로-)

  • Jee, Young Myong;Yoo, Yun Joo
    • School Mathematics
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    • v.16 no.4
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    • pp.803-825
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    • 2014
  • From the early stages of learning algebra, literal symbols are used to represent algebraic objects such as variables and parameters. The concept of parameters contains both indeterminacy and fixity resulting in confusion and errors in understanding. The purpose of this research is to compare the beginners of algebra and pre-service teachers who completed secondary mathematics education in terms of understanding this paradoxical nature of parameters. We recruited 35 middle school students in eight grade and 73 pre-service teachers enrolled in a undergraduate course at one university. Using them we conducted a survey on the perception of the nature of parameters asking if one considers parameters suggested in a problem as variables or constants. We analyzed the collected data using the mixed method of qualitative and quantitative approaches. From the analysis results, we identified several difficulties in understanding of parameters from both groups. Especially, our statistical analysis revealed that the proportions of subjects with limited understanding of the concept of parameters do not differ much in two groups. This suggests that learning algebra in secondary mathematics education does not improve the understanding of the nature of parameters significantly.

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An Comparative Analysis of High School Industrial Technology Subject-Matter Curriculum in the country and foreign country (국내외 고등학교 공업기술과 교육과정 비교 분석)

  • Lee, Hangyu;Jin, Euinam
    • 대한공업교육학회지
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    • v.31 no.2
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    • pp.233-256
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    • 2006
  • The purpose of this study was to analyse between foreign curriculum and our high school industrial technology subject-matter curriculum, to review trend and stream of curriculum revision, and purpose and content system of subject-matter. This study was conducted through reviewing literature; research reference, journal, book, and Web materials. in this study, comparative target country was restricted to Japan, U. S. A., U. K., and N. Z., Australia that administer to similar subject with our industrial technology subject-matter. The major finding of this study were as follows: 1. A similar subject-matter with our industrial technology subject0matter was Japan' 'foundation of industrial technology' and 'project research', U. S. A.' 'technology' and etc, U. K.' 'design and technology', and N. Z.' 'technology', 'New South Wales in Australia' design and technology'. 2. The result of analysis to purpose and strength of subject-matter, our' industrial technology subject-matter was oriented to knowledge, understanding and career search in industrial area. but, the other was emphasized technological problem solving by process-based method with thinking and action. 3. In the curriculum content, our country was treat to content area of a broad industrial world. on the other hand, Japan; relationship between human and technology, environment, process technology and product technology, project research. U. S. A.; technology content standards by knowledge, process and context, U. K., N. Z., and Australia were focused 'design process'. Based on above results, the recommendation can be established as follows: 1. A study on the implementation of industrial technology curriculum. 2. A study on the perception and need assessment of expert and stakeholder about purpose and content system. of industrial technology subject-matter.

A Performance Analysis of Large ABox Reasoning in OWL-DL Reasoners (다양한 OWL-DL 추론 엔진에서 대용량 ABox 추론에 대한 성능평가)

  • Seo, Eun-Seok;Park, Young-Tack
    • Journal of KIISE:Software and Applications
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    • v.34 no.7
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    • pp.655-666
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    • 2007
  • Reasoners using typical Tableaux algorithm such as RacerPro, Pellet have a problem in Tableaux algorithm large ABox reasoning. Researches to solve these Problems are dealt with Instance Store of University of Manchester which uses Tableaux algorithm based reasoner and DBMS and KAON2 of University of Karlsruhe using Disjunctive Datalog approach. An evaluation experiment for present reasoners is the experiment of TBox reasoning in most of Tableaux algorithm based one. The most of benchmarking tests in reasoning systems haven't done with ABox reasoning based Tableaux Algorithm but done with TBox reasoning based Tableaux Algorithm. Especially, rarely reported benchmarking tests in reasoners have been issued nowadays. Therefore, this thesis evaluates systems with theory of each reasoners for large ABox reasoning that becomes issues recently with typical reasoners. The large AoBx reasoning engine will be analyzed using Instance Store and KAON2 of Manchester University for large ABox processing. At the analysing method, LUBM(Lehigh University BenchMark), benchmarking test method, and it's test system will be introduced. In conclusion, I recommend appropriate reasoner in various environment with experiment result and characteristic of algorithm used for each reasoner.

Genotypic Detection of Extended-Spectrum β-Lactamase-Producing of Klebsiella pneumoniae (Extended-Spectrum β-Lactamase 생성 Klebsiella pneumoniae 균주의 유전형 검출)

  • Yook, Keun-Dol;Yang, Byoung-Seon;Park, Jin-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.3
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    • pp.1191-1196
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    • 2013
  • Among Gram-negative pathogens in Korea, the incidence of resistance to third generation cephalosporins is becoming an ever-increasing problem. The production of extended-spectrum ${\beta}$-lactamase (ESBL) is the main mechanism of bacterial resistance to a third-generation cephalosporins and monobactams. Accurate identification of the ESBL genes are necessary for surveillance and epidemiological studies of the mode of transmission in the hospital. This study was conducted to detect the genes encoding ESBL of 46 K. penumoniae isolated from Daejeon, Chungnam and Chungbuk regional university hospitals from February to August in 2012. The phenotypes of the isolated specimens were examined according to the combination disc test (CDT) by the Clinical and Laboratory Standards Institute (CLSI). Forty two ESBL producing K. penumoniae isolates could be detected using ceftazidime (CAZ) discs with and without clavulanate (CLA). By CDT, 42 K. pneumoniae strains were confirmed to be ESBL strains. Genotyping was performed by multiplex PCR with type-specific primers. By PCR analysis, TEM gene in 46 strains, SHV gene in 37 strains and CTX-M genes in 14 strains were identified. Ten isolates did carry genes encoding ESBLs of all types TEM, SHV and CTX-M. The multiplex polymerase chain reaction (PCR) analysis was better to detect and differentiate ESBL producing K. penumoniae strains in clinical isolates.