• Title/Summary/Keyword: 적합도 분석

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The Relationship between High-performance Work Systems and Organizational Innovation Performance: Investigating the Roles of Human and Customer Service Competencies (고성과작업시스템과 조직 혁신성과 간 관계: 인적 역량과 고객 대응 역량의 조절효과를 중심으로)

  • Park, Jisung;Ok, Chiho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.325-331
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    • 2020
  • Even though numerous studies on the relationship between high-performance work systems (HPWSs) and organizational performance have been conducted over the past three decades, empirical evidence is still lacking in the aspects of context and performance. Thus, this study aims to investigate how HPWSs influence organizational performance, especially innovation performance as a key factor to increase the organization's sustainability. In addition, this study examines how human competency and customer service competency as crucial conditions to facilitate organizational innovation moderate the relationship between HPWSs and organizational performance. To examine these hypotheses, this study used Human Corporate Capital Panel datasets. The results of longitudinal analyses show that HPWSs positively affected organizational performance, and the two competencies strengthened the positive main effect, as we expected. In the discussion parts, this study suggests implications and limitations.

Mobility Support Scheme Based on Machine Learning in Industrial Wireless Sensor Network (산업용 무선 센서 네트워크에서의 기계학습 기반 이동성 지원 방안)

  • Kim, Sangdae;Kim, Cheonyong;Cho, Hyunchong;Jung, Kwansoo;Oh, Seungmin
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.11
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    • pp.256-264
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    • 2020
  • Industrial Wireless Sensor Networks (IWSNs) is exploited to achieve various objectives such as improving productivity and reducing cost in the diversity of industrial application, and it has requirements such as low-delay and high reliability packet transmission. To accomplish the requirement, the network manager performs graph construction and resource allocation about network topology, and determines the transmission cycle and path of each node in advance. However, this network management scheme cannot treat mobile devices that cause continuous topology changes because graph reconstruction and resource reallocation should be performed as network topology changes. That is, despite the growing need of mobile devices in many industries, existing scheme cannot adequately respond to path failure caused by movement of mobile device and packet loss in the process of path recovery. To solve this problem, a network management scheme is required to prevent packet loss caused by mobile devices. Thus, we analyse the location and movement cycle of mobile devices over time using machine learning for predicting the mobility pattern. In the proposed scheme, the network manager could prevent the problems caused by mobile devices through performing graph construction and resource allocation for the predicted network topology based on the movement pattern. Performance evaluation results show a prediction rate of about 86% compared with actual movement pattern, and a higher packet delivery ratio and a lower resource share compared to existing scheme.

A Study on the Model Test for Estimating Dynamic Vertical Load Added to Shallow Foundation for Machine (진동기 얕은기초에 추가되는 동적 연직하중 산정을 위한 모형실험 방안 연구)

  • Ha, Ik-Soo;Yoo, Mintaek
    • Journal of the Korean Geotechnical Society
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    • v.36 no.11
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    • pp.157-165
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    • 2020
  • At present, there are no clearly stated criteria or theories in calculating additional vertical dynamic loads that occur at the machine foundation due to vibration and reflecting them in the design at home and abroad. According to the domestic standard, although it is not a serious vibration condition, the additional dynamic load due to vibration is considered up to 100% of the static load. This is an extremely conservative design. The purpose of this study is to propose a model test method for evaluating the quantitative magnitude of additional dynamic loads that are generated at certain static loads due to vertical mechanical vibrations. As preliminary basic tests for the model tests, the test for evaluating the effects of reflective wave that may occur within a limited size soil box and the test for estimating the natural frequency of the devised model soil-foundation system were carried out. From the analysis of results for basic tests, a method to minimize the influence of the reflected wave was prepared, and the effect of the resonance of the model system was minimized during the model tests. After the basic tests, the main model tests were conducted. Through the proposed main test, the quantitative magnitude of additional dynamic loads caused by machine vibration on a shallow foundation for machine on medium dense sand foundations were evaluated. From the results of the model test, the feasibility of design applied at home and abroad was reviewed.

A Neural Network for Long-Term Forecast of Regional Precipitation (지역별 중장기 강수량 예측을 위한 신경망 기법)

  • Kim, Ho-Joon;Paek, Hee-Jeong;Kwon, Won-Tae
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.2
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    • pp.69-78
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    • 1999
  • In this paper, a neural network approach to forecast Korean regional precipitation is presented. We first analyze the characteristics of the conventional models for time series prediction, and then propose a new model and its learning method for the precipitation forecast. The proposed model is a layered network in which the outputs of a layer are buffered within a given period time and then fed fully connected to the upper layer. This study adopted the dual connections between two layers for the model. The network behavior and learning algorithm for the model are also described. The dual connection structure plays the role of the bias of the ordinary Multi-Layer Perceptron(MLP), and reflects the relationships among the features effectively. From these advantageous features, the model provides the learning efficiency in comparison with the FIR network, which is the most popular model for time series prediction. We have applied the model to the monthly and seasonal forecast of precipitation. The precipitation data and SST(Sea Surface Temperature) data for several decades are used as the learning pattern for the neural network predictor. The experimental results have shown the validity of the proposed model.

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The Remote Sensing Algorithm for Analysis of Suspended Sediments Distribution in Lake Sihwa and Coastal Area (시화호와 연안해역의 부유사 분포 분석을 위한 원격탐사 알고리듬)

  • Jeong, Jongchul;Yoo, Sinjae;Kim, Jungwook
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.2
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    • pp.59-68
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    • 1999
  • The study for detecting suspended sediment distribution in Lake Sihwa, which has a large surface area and coastal area, using remote sensing technique was carried out with development of satellite data collected since 1970. The research, however, analysis of spatial distribution and quantity, is not common in domestic study and useful algorithms have not been proposed. In this study, a suspended sediment algorithm was composed with in-situ data obtained in study area and remote sensing reflectance obtained in-water optical instrument, which has SeaWiFS wavelength bands. However, when the algorithm was applied to Landsat TM data, including an in-situ data set, and some problems arose. The composition of the algorithm which was structured with band difference and band ratio showed the correlation of $R^2$=0.7649 with concentration of suspended sediments. And, between calculated and observed concentration of suspended sediments there was a correlation of $R^2$=0.6959. However, remote sensing reflectance obtained from Landsat TM is not good for the estimation of concentration of suspended sediments, because of high concentration of chlorophyll and CDOM(colored dissolved organic matter).

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Effect of $pi-Water$ on the Quality Characteristics of White Pan Bread ($\pi-Water$ 첨가가 식빵 품질 특성에 미치는 영향)

  • 김동호;오철환
    • Journal of the East Asian Society of Dietary Life
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    • v.14 no.1
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    • pp.47-53
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    • 2004
  • The characteristics of dough and the quality of white pan bread with 0∼1.5% $\pi$-water were investigated. The fermentation volume and weight of the white pan bread with $\pi$-water (0.1%, 0.5%, 1.0%, 1.5%) was higher than that of the control. The volume of white pan bread with $\pi$-water (0.1%, 1.0%, 1.5%) was higher than that of the control. Color L value of crust with $\pi$-water increased from 34.98 to 36.38∼41.36 and increased from 34.32 to 34.90∼43.33 after 3 days. Color a value increased from 14.78 to 14.99∼16.75. The hardness of the white pan bread increased from 29011.0 g/㎤ to 18681.7∼43551.2 g/㎤ as the added amount of $\pi$-water increased. The overall acceptability score of white pan bread was the highest with 0.1% $\pi$-water.

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Data Level Parallelism for H.264/AVC Decoder on a Multi-Core Processor and Performance Analysis (멀티코어 프로세서에서의 H.264/AVC 디코더를 위한 데이터 레벨 병렬화 성능 예측 및 분석)

  • Cho, Han-Wook;Jo, Song-Hyun;Song, Yong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.8
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    • pp.102-116
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    • 2009
  • There have been lots of researches for H.264/AVC performance enhancement on a multi-core processor. The enhancement has been performed through parallelization methods. Parallelization methods can be classified into a task-level parallelization method and a data level parallelization method. A task-level parallelization method for H.264/AVC decoder is implemented by dividing H.264/AVC decoder algorithms into pipeline stages. However, it is not suitable for complex and large bitstreams due to poor load-balancing. Considering load-balancing and performance scalability, we propose a horizontal data level parallelization method for H.264/AVC decoder in such a way that threads are assigned to macroblock lines. We develop a mathematical performance expectation model for the proposed parallelization methods. For evaluation of the mathematical performance expectation, we measured the performance with JM 13.2 reference software on ARM11 MPCore Evaluation Board. The cycle-accurate measurement with SoCDesigner Co-verification Environment showed that expected performance and performance scalability of the proposed parallelization method was accurate in relatively high level

A Study on an Error Correction Code Circuit for a Level-2 Cache of an Embedded Processor (임베디드 프로세서의 L2 캐쉬를 위한 오류 정정 회로에 관한 연구)

  • Kim, Pan-Ki;Jun, Ho-Yoon;Lee, Yong-Surk
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.1
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    • pp.15-23
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    • 2009
  • Microprocessors, which need correct arithmetic operations, have been the subject of in-depth research in relation to soft errors. Of the existing microprocessor devices, the memory cell is the most vulnerable to soft errors. Moreover, when soft errors emerge in a memory cell, the processes and operations are greatly affected because the memory cell contains important information and instructions about the entire process or operation. Users do not realize that if soft errors go undetected, arithmetic operations and processes will have unexpected outcomes. In the field of architectural design, the tool that is commonly used to detect and correct soft errors is the error check and correction code. The Itanium, IBM PowerPC G5 microprocessors contain Hamming and Rasio codes in their level-2 cache. This research, however, focuses on huge server devices and does not consider power consumption. As the operating and threshold voltage is currently shrinking with the emergence of high-density and low-power embedded microprocessors, there is an urgent need to develop ECC (error check correction) circuits. In this study, the in-output data of the level-2 cache were analyzed using SimpleScalar-ARM, and a 32-bit H-matrix for the level-2 cache of an embedded microprocessor is proposed. From the point of view of power consumption, the proposed H-matrix can be implemented using a schematic editor of Cadence. Therefore, it is comparable to the modified Hamming code, which uses H-spice. The MiBench program and TSMC 0.18 um were used in this study for verification purposes.

Inelastic Analysis of Steel-Concrete Composite Column with Non-Compact Steel Section (비조밀단면을 가진 SC 합성 기둥의 비선형 해석)

  • Oh, Myoung Ho;Jang, Tae Young;Kim, Myeong Han;Kim, Dae Joong;Kim, Sang Dae
    • Journal of Korean Society of Steel Construction
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    • v.17 no.1 s.74
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    • pp.63-71
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    • 2005
  • There were already several studies conducted on the steel-concrete (SC) composite column, which was developedcomplement the weaknesses and maintain the advantages of previous composite columns. The axial compressive capacity of the SC composite column was estimated by the tests in previous studies, but the experiments for the large-scale column could not be performed because of the limitation with the laboratory's capacity. In this study, the analytical study was performed using the general finite element analysis program to reflect the interaction of concrete and steel and the local buckling of steel flange composed of the non-compact section. The appropriateness of the analytical model was verified by the comparison between experimental and analytical results. The nonlinear behavior of full-scale SC composite column was analyzed using the verified analytical model. From these analytical studies, it was concluded that the width-to-thickness ratio of the steel cross-section of the SC composite column should not exceed 25:0. The section area of the link is best when it is over 0.025 dt, and the link distance is to be less than D/2 or 300mm.

Structure and Tending Method for Naturally Regenerated Young Pinus Densiflora Sieb. et Zucc. Stands (천연경신(天然更新)에 의한 소나무 유령임분(幼齡林分)의 구조와 무육방법(撫育方法))

  • Bae, Sang Won
    • Journal of Korean Society of Forest Science
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    • v.83 no.1
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    • pp.50-62
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    • 1994
  • This study is performed to consider the fitness of natural regenerating method and tending methods used now by surveying the stand structure and regenerating states of the 9 natural regenerated Pinus densiflora stands in Kangwon province. As a special consideration, it deals with the tending methods on the seedlings of Pinus densiflora and broad-leaved tree(Quercus mongolica) under competition. By the consideration on the number of trees, growing capacity and stand structures of Pinus densiflora stands, it reveals that Pinus densiflora is in the inferior in numbers at the competition to the broad-leaved species, and it could not occupy the stands as the dominant species if the stands were not tended. It is estimated that natural regeneration of Pinus densiflora stands by the clearcutting or seed tree system could not achieved due to the abundance of ground vegetation. Short-term shelter-wood system or strip stand method may be proposed as a successful method of natural regeneration. As the visible tending method for seedlings, the method which apply the mixed forest in group of Pinus densflora and Quercus mongolica different by the growing capacity and distribution characteristics is better thaw the one which tend the Pinus densiflora only.

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