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A study on certification criteria for effective application of green building rating system water resource (친환경건축물 인증제도 수자원 항목의 효과적 적용을 위한 평가방법 연구)

  • Kim, Hye-Jin;Kim, Kong-Suk;Kim, Byung-Seon
    • Proceedings of the SAREK Conference
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    • 2006.06a
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    • pp.1049-1054
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    • 2006
  • In many countries, methods to evaluate buildings have been investigated and practiced in order to reduce energy use and search for sustainable architecture while providing comfortable space for the users, in Korea, the current certification system has a short history, and has been improved for better practicability. Among many different factors in the certification system, the water resource problem is an important as the demand has been sharply increasing while reckless use and sewage treatment system causes the reduction of usable water. This study aims to find problems of water usage in building. water resource in the current certification will be used for the analysis of each factor in water resource, and the direction of improvement required in the certification in order to improve the water usage in buildigns will be proposed.

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Human Resource Management and Intra-Industry Trade

  • Lee, Yang-Seung
    • Journal of Korea Trade
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    • v.23 no.8
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    • pp.27-44
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    • 2019
  • Purpose - The purpose of this paper is to develop a tractable general-equilibrium model of examining the impact of human resource management on intra-industry trade. Commonly, managers of Korean firms are promoted internally. It necessitates a study of human resource management and its impact on an industrial equilibrium. Design/methodology - This paper relies on theoretical analysis. We build a model in firms are hierarchical; an entrepreneur, managers, and workers. All individuals have heterogeneous managerial talents, which are the main source of managerial quality. Firms search talents for prospect managers, and eventually delegate them to supervise workers. The searching incurs a sunk cost. Findings - Our finding is as follows. Country 1, relatively abundant of managerial talents, can gain more from trade than Country 2, relatively scarce of managerial talents. This is because the higher searching cost leads to the lower survival rate of firms in Country 2. Implicatively, good jobs are destroyed, and aggregate income falls in Country 2. Originality/value - According to our study, relative abundance of managerial talents affects distribution of firm size and determines trade gain. This study can contribute to the literature of organization management and trade.

An Efficient Mode Selection Method for OFDM Based Multi-System Wireless Communication Systems (OFDM 기반 다중 무선 통신 환경에서의 효과적인 모드 선택 기법)

  • Park, Jong-Min;Kang, Min-Soo;Cho, Sung-Ho
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.2
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    • pp.19-25
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    • 2008
  • When there are numerous wireless communication systems co-existing in the limited available frequency resource, an unexpected time delay can be caused during the system switching. So, in order to reduce this time delay, a mode selection method is required. In this paper, we propose a mode selection method to minimize the time delay for multi-system wireless communication systems. For the sake of efficiency, the mode selection method is designed by analyzing the preamble characteristics of different standards. Instead of performing a full search, we propose the preamble partial search to reduce the time delay to a minimum. Simulated with Matlab in an additive white Gaussian noise(AWGN) environment with a signal to noise ratio(SNR) of 10dB and bit error rate(BER) of $10^{-6}$, we evaluated and showed the performance improvement gained by using our proposed mode selection method.

Object Tracking based on Weight Sharing CNN Structure according to Search Area Setting Method Considering Object Movement (객체의 움직임을 고려한 탐색영역 설정에 따른 가중치를 공유하는 CNN구조 기반의 객체 추적)

  • Kim, Jung Uk;Ro, Yong Man
    • Journal of Korea Multimedia Society
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    • v.20 no.7
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    • pp.986-993
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    • 2017
  • Object Tracking is a technique for tracking moving objects over time in a video image. Using object tracking technique, many research are conducted such a detecting dangerous situation and recognizing the movement of nearby objects in a smart car. However, it still remains a challenging task such as occlusion, deformation, background clutter, illumination variation, etc. In this paper, we propose a novel deep visual object tracking method that can be operated in robust to many challenging task. For the robust visual object tracking, we proposed a Convolutional Neural Network(CNN) which shares weight of the convolutional layers. Input of the CNN is a three; first frame object image, object image in a previous frame, and current search frame containing the object movement. Also we propose a method to consider the motion of the object when determining the current search area to search for the location of the object. Extensive experimental results on a authorized resource database showed that the proposed method outperformed than the conventional methods.

Correlation between Internet Search Query Data and the Health Insurance Review & Assessment Service Data for Seasonality of Plantar Fasciitis (족저 근막염의 계절성에 대한 인터넷 검색어 데이터와 건강보험심사평가원 자료의 연관성)

  • Hwang, Seok Min;Lee, Geum Ho;Oh, Seung Yeol
    • Journal of Korean Foot and Ankle Society
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    • v.25 no.3
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    • pp.126-132
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    • 2021
  • Purpose: This study examined whether there are seasonal variations in the number of plantar fasciitis cases from the database of the Korean Health Insurance Review & Assessment Service and an internet search of the volume data related to plantar fasciitis and whether there are correlations between variations. Materials and Methods: The number of plantar fasciitis cases per month was acquired from the Korean Health Insurance Review & Assessment Service from January 2016 to December 2019. The monthly internet relative search volumes for the keywords "plantar fasciitis" and "heel pain" were collected during the same period from DataLab, an internet search query trend service provided by the Korean portal website, Naver. Cosinor analysis was performed to confirm the seasonality of the monthly number of cases and relative search volumes, and Pearson and Spearman correlation analysis was conducted to assess the correlation between them. Results: The number of cases with plantar fasciitis and the relative search volume for the keywords "plantar fasciitis" and "heel pain" all showed significant seasonality (p<0.001), with the highest in the summer and the lowest in the winter. The number of cases with plantar fasciitis was correlated significantly with the relative search volumes of the keywords "plantar fasciitis" (r=0.632; p<0.001) and "heel pain" (r=0.791; p<0.001), respectively. Conclusion: Both the number of cases with plantar fasciitis and the internet search data for related keywords showed seasonality, which was the highest in summer. The number of cases showed a significant correlation with the internet search data for the seasonality of plantar fasciitis. Internet big data could be a complementary resource for researching and monitoring plantar fasciitis.

A Classification Method of Anthropometric Variables for Improved Usability of Anthropometric Data (인체측정자료의 사용성 제고를 위한 인체측정변수 분류 방법)

  • Yu, Hui-Cheon;Sin, Seung-U;Ryu, Tae-Beom
    • Journal of the Ergonomics Society of Korea
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    • v.23 no.3
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    • pp.13-24
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    • 2004
  • Anthropometric data is a fundamental resource in developing ergonomic products and workplaces. However, designers often experience difficulty in searching anthropometric data relevant to the design due to the technicality of anthropometric terminologies, ambiguity in the description of measurement method for some anthropometric variables, and inefficiency of existing search methods for anthropometric data. The present study suggests a method to develop a classification system of anthropometric variables for systematic, efficient search of anthropometric data. The proposed method first classifies anthropometric variables according to body segment and type of variable, and then arranges anthropometric variables of the same body segment and variable type by comparing the heights of their reference points. The proposed classification method was applied to establish a classification system of 66 anthropometric variables that were selected for an automotive interior design. Then the established anthropometric classification system was utilized to design a search interface of a web-based anthropometric data retrieval system.

Storing Method of Learning Resources based on Cluster for e-Learning (이러닝을 위한 클러스터 기반 학습 자원의 저장 기법)

  • Yun, Hong-Won
    • The Journal of the Korea Contents Association
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    • v.7 no.1
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    • pp.155-160
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    • 2007
  • A learning resource is a SCO or a collection of on or more assets in the SCORM. A storage policy is required to search rapidly and reuse assets in e-learning environment. However there are not research results about it. In this paper, We propose a storing method for assets based on cluster and define the mathematical formulation of it. Also, we present criteria for assets evaluation and describe procedure to evaluate each asset. We show that the search based on proposed cluster storing method increase performance than the categorization search through performance evaluation.

A Study on Loading and Scheduling of Assembly Block in Shipbuilding (조선산업에서의 블록 배량계획과 일정계획에 관한 연구)

  • Kim, Ki-Dong;Jeon, In-Woo;Kim, Tae-Hyeon
    • Journal of Industrial Technology
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    • v.22 no.B
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    • pp.61-70
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    • 2002
  • The shipbuilding scheduling has many possible alternatives because of its long time horizon and a lot of jobs, so it is required that the scheduling system can generate and search feasible alternatives rapidly. The scheduling in the assembly shop is initiated by allocating, namely loading, the assembly blocks to each shop. In this step, the resource capacities (such as available man/hour, available crane) of each shop must be considered. The result of loading without above consideration can make the scheduling result based on that infeasible or worse one. In this paper, we developed the optimal scheduling system of shipbuilding, specifically for loading and scheduling of assembly block, using ILOG Solver/Scheduler. ILOG Solver/Scheduler is a general-purposed commercial software which supports to find a feasible or optimal solution using object oriented technique and constraints satisfaction programming, given constraints and objectives. Also, in order to enhance the system performance, we conducted various experiments of ILOG search strategies. The experimental results showed that the impact of search strategies is significant.

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An Adaptive Virtual Machine Location Selection Mechanism in Distributed Cloud

  • Liu, Shukun;Jia, Weijia
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.12
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    • pp.4776-4798
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    • 2015
  • The location selection of virtual machines in distributed cloud is difficult because of the physical resource distribution, allocation of multi-dimensional resources, and resource unit cost. In this study, we propose a multi-object virtual machine location selection algorithm (MOVMLSA) based on group information, doubly linked list structure and genetic algorithm. On the basis of the collaboration of multi-dimensional resources, a fitness function is designed using fuzzy logic control parameters, which can be used to optimize search space solutions. In the location selection process, an orderly information code based on group and resource information can be generated by adopting the memory mechanism of biological immune systems. This approach, along with the dominant elite strategy, enables the updating of the population. The tournament selection method is used to optimize the operator mechanisms of the single-point crossover and X-point mutation during the population selection. Such a method can be used to obtain an optimal solution for the rapid location selection of virtual machines. Experimental results show that the proposed algorithm is effective in reducing the number of used physical machines and in improving the resource utilization of physical machines. The algorithm improves the utilization degree of multi-dimensional resource synergy and reduces the comprehensive unit cost of resources.

DMBase: An Integrated Genetic Information Resource for Diabetes Mellitus

  • Lee, Sun-Young;Park, Young-Kyu;Kim, Jae-Heup;Kim, Young-Joo
    • Interdisciplinary Bio Central
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    • v.3 no.2
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    • pp.6.1-6.3
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    • 2011
  • Diabetes Mellitus (DM), often simply referred to as diabetes, has developed into a major health concern affecting more than 200 million people worldwide with approximately 4 million deaths per year attributed to the presence of the disease. Diabetes mellitus is categorized as Type 1 and Type 2, where Type 1 diabetes represents a lack of insulin production, and Type 2 diabetes is characterized by a relative lack of insulin receptor (i.e., decreased sensitivity to the effect of insulin) and cased by a complex interplay between genetic factors and environmental factors. Up to date, various studies on the pathology and mechanism in terms of genetic experiments have been conducted and approximately hundreds of genes were reported as diabetes mellitus associated genes. At this point, to support studies on the cause and mechanism of diabetes mellitus, an efficient database system to provide genetic variants related to diabetes mellitus is needed. DMBase is an integrated web-based genetic information resource for diabetes mellitus designed to service genomic variants, genes, and secondary information derived for diabetes mellitus genetics researchers. The current version of DMBase documents 754 genes with 3056 genetic variants and 66 pathways. It provides many effective search interfaces for retrieving diabetes mellitus and genetic information. A web interface for the DMBase is freely available at http://sysbio.kribb.re.kr/dmBase.