• Title/Summary/Keyword: Implementation Patterns

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Machine Learning Approach to the Effects of the Superstore Mandatory Closing Regulation

  • AN, Jiyoung;PARK, Heedae
    • Journal of Distribution Science
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    • v.18 no.2
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    • pp.69-77
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    • 2020
  • Purpose - This paper is aimed to analyze the effects of the mandatory closing regulation targeting large retailers, which has been implemented since 2012 to protect small retailers. We examine the changes in consumers' choice of retailers and their purchasing patterns of agri-food following the implementation of such regulation. Research design, data, and methodology - Household spending patterns were identified through the historical data of household food purchase, consumer panel provided by the Rural Development Administration. Clustering was employed to determine the household spending patterns. Moreover, the different household spending patterns before and after the regulation were comparatively studied. The patterns of consumers' choice of retail stores and shopping baskets by the type of retailers, derived from the respective datasets before and after the regulation, were compared to analyze the effects of the regulation. Results -After the regulation, some consumers who used to shop at large retailers before the regulation changed their shopping places to small retailers. However, the product categories that consumers had mainly purchased before the regulation were rarely changed even after the regulation. Conclusions - Although the regulation helped migrate some of the consumers to small retailers, the regulation seemed to have failed to stimulate consumers to purchase the goods, normally bought at large retailers, from traditional markets. In other words, traditional markets are not effective substitutes for regulation-affected retailers.

Performance analysis of light guide panel implemented with laser-processed inner and surface patterns (레이저 가공된 내부 및 표면패턴을 가지는 도광판 성능 분석)

  • Choi, Young-Hee;Shin, Yong-Jin;Choi, Eun-Seo
    • Laser Solutions
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    • v.11 no.1
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    • pp.1-6
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    • 2008
  • We proposed new light guide panel (LGP) fabrication method exploiting laser-processed inner scatterers and surface pattern. The proposed method has achieved LGP performance improvement in both brightness and uniformity. The inner scatterers and surface pattern of grid type were fabricated with a 2nd harmonic Nd:YAG pulse laser engraving system and a $CO_2$ laser scanning system, respectively. In the implementation of LGP, inner scatterers was arranged in accordance with linear or curved pattern with changing density and surface pattern was engraved on the surface of an inner-scatterers embedded LGP. The increase of scatterers' density and the use of surface patterns in both linear and curved pattern provided high luminance and uniformity enhancement. While thecurved pattern incorporated with increased scatterers' density and surface patterns yielded brightness improvement with preserving good uniformity, the linear pattern showed highly localized brightness near the light entrance of the LGP. We can also observe that the uniformity was mainly determined by pattern of inner scatterers, and the brightness was improved by the higher density and the utilization of surface patterns. From the results, the use of laser-processed inner and surface patterns can be a potential alternative for efficient and simple LGP fabrication method.

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Implementation of IDDQ Test Pattern Generator for Bridging Faults (합선 고장을 위한 IDDQ 테스트 패턴 발생기의 구현)

  • 김대익;전병실
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.12A
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    • pp.2008-2014
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    • 1999
  • IDDQ testing is an effective testing method to detect various physical defects occurred in CMOS circuits. In this paper, we consider intra-gate shorts within circuit under test and implement IDDQ test pattern generator to find test patterns which detect considered defects. In order to generate test patterns, gate test vectors which detect all intra-gate shorts have to be found by type of gates. Random test sets of 10,000 patterns are applied to circuit under test. If an applied pattern generates a required test vector of any gate, the pattern is saved as an available test pattern. When applied patterns generate all test vectors of all gats or 10,000 patterns are applied to circuit under test, procedure of test pattern generation is terminated. Experimental results for ISCAS'85 bench mark circuits show that its efficiency is more enhanced than that obtained by previously proposed methods.

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R and S Arrays Approach for Transfer Function-Noise Model Identificaton

  • Kim, Hea-Jung
    • Journal of the Korean Statistical Society
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    • v.19 no.1
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    • pp.1-14
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    • 1990
  • This paper proposes an approach to the identification of trnasfer function models. A strategy for the identification of the model structure is based on R and S arrays constructed by the impulse response function of the model. Theoretical patterns of the arrays associated with the model are investigated, and the practical implementation method of the suggested approach is also discussed. Finally two published samples are employed to demonstrate the practicability of the approach.

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Adolescents' Proper Manners and Strengths of Family Life : Generational Transfer between Mothers and Adolescent Children (청소년의 예절수행 세대전이 및 가정생활건강성 -어머니와 청소년기 자녀를 중심으로-)

  • 김경아;이정우
    • Journal of Families and Better Life
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    • v.21 no.4
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    • pp.79-92
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    • 2003
  • This research aims to verify the generation transfer of proper manners from mothers to adolescent children and the relationship between adolescents' proper manners and strengths of family life. The data from 826 questionnaires (413 pairs of adolescents and mothers) were used for the final analysis. The findings of the study are summarized as follows: First, as for the extent of the implementation of manners of mothers and adolescent children both parties generally abided by good manners, but a significant difference emerged in the patterns. Second, both mothers and adolescent children were influenced by psychological determinants of self-esteem, values of humanism, emotional intimacy between mother and child, and social support for the implementation of good manners. On the other hand, adolescent children were affected the most by the emotional intimacy with mothers. Third, children generally showed significant differences in their implementation of manners according to the manners their mothers. Fourth, there were significant differences in the strengths of family life for adolescent children depending on their implementation of manners. Fifth, when comparing the relative contribution of the mothers' psychological determinants on strengths of family life and adolescent children's psychological determinants on the implementation of manners, strengths of family life gained more credibility as more variables were added.

Implementation of artificial neural network with on-chip learning circuitry (학습 기능을 내장한 신경 회로망의 하드웨어 구현)

  • 최명렬
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.3
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    • pp.186-192
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    • 1996
  • A modified learning rule is introduced for the implementation of feedforward artificial neural networks with on-chip learning circuitry using standard analog CMOS technology. Learning rule, is modified form the EBP (error back propagation) rule which is one of the well-known learning rules for the feedforward rtificial neural nets(FANNs). The employed MEBP ( modified EBP) rule is well - suited for the hardware implementation of FANNs with on-chip learning rule. As a ynapse circuit, a four-quadrant vector-product linear multiplier is employed, whose input/output signals are given with voltage units. Two $2{\times}2{\times}1$ FANNs are implemented with the learning circuitry. The implemented FANN circuits have been simulatied with learning test patterns using the PSPICE circuit simulator and their results show correct learning functions.

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Design and Implementation of an Efficient C++ Code Generator based on UML Class Diagram (UML 클래스 다이어그램 기반의 효율적인 C++코드 생성기의 설계와 구현)

  • Cho, Hyung-Ju;Chung, Chin-Wan;Kim, Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.6 no.4
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    • pp.393-402
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    • 2000
  • The Unified Modeling Language(UML) became the standard object oriented modeling language approved by Object Management Group(OMG). However, C++ codes which are generated by some CASE tools supporting UML do not reflect the correct semantics of one-to-many relationship and aggregation relationship. Additionally, since the commercial CASE tools support too many programming languages on one UML class diagram, they do not support efficiently the characteristics of C++ language. Our C++ code generator supports one-to-many relationship, aggregation relationship, code patterns and design patterns. In this paper, we describe design and implementation of the efficient C++ code generator based on UML class diagram.

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Design and Implementation of Crime Analysis GIS (범죄분석 지리정보시스템의 설계와 구현)

  • 박기호
    • Spatial Information Research
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    • v.8 no.2
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    • pp.213-232
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    • 2000
  • It is important to scrutinize spatial patterns in crime analysis since crime data has geographical attribute in itself. We focus on the development of ¨Crime Analysis GIS¨ prototype which can discover spatial patterns in crime data by integrating mapping functions of GIS and spatial analysis techniques. The structure of this system involves integration of DBMS and GIS, and the major functions of the system include (i) exploring spatial distribution of point data, (ii) mapping hot-spot, (iii) clustering analysis of crime occurrence, and (iv) analyzing aggregated areal data. The process of design and implementation of this system is based on object-oriented methodologies. A web-based extension of the prototype using 3-tier architecture is currently under development.

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The Classification of e-Business Model for Successful e-Business Implementation based on the Strategic Consideration (e-비즈니스의 성공적인 실행을 위한 비즈니스 모형의 분류 유형에 관한 연구)

  • 신호균;김종천
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2001.12a
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    • pp.438-450
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    • 2001
  • This study is to classify the typology of e-business model based on the practical strategic model for successful e-business implementation. For that purpose, we review the conceptual framework of e-business and collected the data from 127 companies implementing e-business. The study is conducted in three phases as follows. First, six factors consisted of 22 items are derived through factor analysis. Second, Cluster analysis is employed to group the firms into different strategic patterns. A five-cluster solution is found to maximize the distances between cluster means across the six factor patterns. The models are named as 'ascendancy and convergence', 'expansion and moderate price', 'expansion and improvement of quality', 'ascendancy and process', and 'improvement of quality' respectively. Third, ANOVA is used to examine the impact on the performance differences attributable to the models. The results of the study are; (1) the 'ascendancy and process', 'expansion and improvement of quality' and 'expansion and moderate price' models were associated with significantly higher performance levels than the 'improvement of quality' model, and (2) the hybrid strategies are needed to implement e-business successfully based on the 'ascendancy and process' model.

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Learning Method for minimize false positive in IDS (침입탐지시스템에서 긍정적 결함을 최소화하기 위한 학습 방법)

  • 정종근;김철원
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.5
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    • pp.978-985
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    • 2003
  • The implementation of abnormal behavior detection IDS is more difficult than the implementation of misuse behavior detection IDS because usage patterns are various. Therefore, most of commercial IDS is misuse behavior detection IDS. However, misuse behavior detection IDS cannot detect system intrusion in case of modified intrusion patterns occurs. In this paper, we apply data mining so as to detect intrusion with only audit data related in intrusion among many audit data. The agent in the distributed IDS can collect log data as well as monitoring target system. False positive should be minimized in order to make detection accuracy high, that is, core of intrusion detection system. So We apply data mining algorithm for prediction of modified intrusion pattern in the level of audit data learning.