• Title/Summary/Keyword: Performance-based HR

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Effects of Consulting-recipient Company's Organizational Characteristic on Consulting Performance (컨설팅 실행기업의 조직특성이 컨설팅 성과에 미치는 영향 -제조기업 M사 생산직 종사자를 중심으로-)

  • Kim, Cheong-Ki;You, Yeon-Wu
    • Journal of Digital Convergence
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    • v.11 no.3
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    • pp.139-155
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    • 2013
  • The purpose of this research is to study the impact of a consulting-recipient company's organizational characteristics have on consulting performance based on a case study of M manufacturing company that received HR consulting. Noticing that the subject company received HR consulting, consulting performance was evaluated in terms of two variables, HR effectiveness and organizational commitment, and the research focused on analyzing HR system improvement and change in awareness of employees. The result showed that all lower factors that describe organizational characteristics - closeness, delegation of responsibilities, ethical management, communication and shared values - had statistically positive impact on HR effectiveness at significance level p<.05. Also, the higher the HR effectiveness, the higher the positive impact on organizational commitment improvement. Moreover, it was shown that all lower factors in organizational characteristics had positive impact on overall consulting performance. Accordingly, the research concludes that, in order to improve consulting performance, i.e., HR effectiveness and organizational commitment, for blue collar workers, the company needs to create a family-oriented and closely-knit working environment, establish rules and systems to delegate responsibilities appropriately, actively promote ethical management and provide strategic activities to facilitate effective communication.

High-Resolution Satellite Image Super-Resolution Using Image Degradation Model with MTF-Based Filters

  • Minkyung Chung;Minyoung Jung;Yongil Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.4
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    • pp.395-407
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    • 2023
  • Super-resolution (SR) has great significance in image processing because it enables downstream vision tasks with high spatial resolution. Recently, SR studies have adopted deep learning networks and achieved remarkable SR performance compared to conventional example-based methods. Deep-learning-based SR models generally require low-resolution (LR) images and the corresponding high-resolution (HR) images as training dataset. Due to the difficulties in obtaining real-world LR-HR datasets, most SR models have used only HR images and generated LR images with predefined degradation such as bicubic downsampling. However, SR models trained on simple image degradation do not reflect the properties of the images and often result in deteriorated SR qualities when applied to real-world images. In this study, we propose an image degradation model for HR satellite images based on the modulation transfer function (MTF) of an imaging sensor. Because the proposed method determines the image degradation based on the sensor properties, it is more suitable for training SR models on remote sensing images. Experimental results on HR satellite image datasets demonstrated the effectiveness of applying MTF-based filters to construct a more realistic LR-HR training dataset.

A Design of Content-based Metric Learning Model for HR Matching (인재매칭을 위한 내용기반 척도학습모형의 설계)

  • Song, Hee Seok
    • Journal of Information Technology Applications and Management
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    • v.27 no.6
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    • pp.141-151
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    • 2020
  • The job mismatch between job seekers and SMEs is becoming more and more intensifying with the serious difficulties in youth employment. In this study, a bi-directional content-based metric learning model is proposed to recommend suitable jobs for job seekers and suitable job seekers for SMEs, respectively. The proposed model not only enables bi-directional recommendation, but also enables HR matching without relearning for new job seekers and new job offers. As a result of the experiment, the proposed model showed superior performance in terms of precision, recall, and f1 than the existing collaborative filtering model named NCF+GMF. The proposed model is also confirmed that it is an evolutionary model that improves performance as training data increases.

Energy Efficient Transmission Parameters Selection Method for CSMA/CA based HR-WPAN System under Ship Environment (선박환경에서 CSMA/CA기반 HR-WPAN 시스템의 에너지 효율적 전송파라미터 선택방식분석)

  • Park, Young-Min;Lee, Woo-Young;Lee, Seong-Ro;Lee, Yeon-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.10A
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    • pp.760-768
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    • 2009
  • In this paper, we propose the energy efficient transmission parameter selection method for Wireless Personal Area Network (WPAN) system which is applied to e-Navigation system considering various ship models environment. An appropriate selection of transmission parameters of HR-WPAN system is very essential to be considered for saving WPAN devices' energy consumption, when HR-WPAN system is applied to ship area network (SAN). Therefore, we propose an energy consumption model for a ship area network employing IEEE 802.15.3 based CSMA/CA HR-WPAN model and analyze the effect of transmission parameter selection on the performance of energy consumption. In particular, the path loss is the major performance decision parameter for the SAN employing HR-WPAN system, since it varies according to the material of shipbuilding such as steel(for large ship), FRP(for medium size ship) and compound wood(for small ship). Thus, we analyze and demonstrate that the proper transmission parameter selection of transmit power, PHY data rate and fragment size for each ship model could guarantee energy efficiency.

Changing Perspectives of Managing Human Resources in Nepal

  • Gautam, Dhruba Kumar
    • Asia-Pacific Journal of Business
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    • v.3 no.2
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    • pp.23-33
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    • 2012
  • Sustainable competitive advantage depends on formulation and implementation of appropriate human resource management (HRM) strategies and deployment of their competencies effectively in dynamic and complex environment. Competencies deployment is an approach to make decisions on the intentions and plans of organization concerning employment relationship and its recruitment, training, development, performance appraisal, reward and employee relations policies and practice. The improvement of organizational effectiveness is an overall objective of people management in organizations. In light of these, this study explores the present practices of HRM like: HR departments, HR policies and strategies, HR planning, recruitment selection and placement, training and development, performance appraisal, compensation and benefit, employee relations and communications. Based on the survey in 204 Nepalese organizations as a unit of analysis, the study concludes that HR practices in few organizations have action program for minorities, ethnic group, older employees and people with disabilities. Due to centralized organizational structure, most of HR decisions are taken into central office and line managers being involved highly in planning and implementing HR policies. In a nutshell, though HRM practices are not developed like developed countries, Nepalese organizations are realizing the significance of people management at work and changing their practices in the present dynamic environment.

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Adaptive Cross-Layer Packet Scheduling Method for Multimedia Services in Wireless Personal Area Networks

  • Kim Sung-Won;Kim Byung-Seo
    • Journal of Communications and Networks
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    • v.8 no.3
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    • pp.297-305
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    • 2006
  • High-rate wireless personal area network (HR-WPAN) has been standardized by the IEEE 802.15.3 task group (TG). To support multimedia services, the IEEE 802.15.3 TG adopts a time-slotted medium access control (MAC) protocol controlled by a central device. In the time division multiple access (TDMA)-based wireless packet networks, the packet scheduling algorithm plays a key role in quality of service (QoS) provisioning for multimedia services. In this paper, we propose an adaptive cross-layer packet scheduling method for the TDMA-based HR-WPAN. Physical channel conditions, MAC protocol, link layer status, random traffic arrival, and QoS requirement are taken into consideration by the proposed packet scheduling method. Performance evaluations are carried out through extensive simulations and significant performance enhancements are observed. Furthermore, the performance of the proposed scheme remains stable regardless of the variable system parameters such as the number of devices (DEVs) and delay bound.

Information Security and Organizational Performance: Empirical Study of Korean Securities Industry

  • Kong, Heekyung;Jung, Suhyun;Lee, Insung;Yeon, Seung-Jun
    • ETRI Journal
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    • v.37 no.2
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    • pp.428-437
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    • 2015
  • This study was conducted to analyze the effect of information security activities on organizational performance. With this in mind and with the aim of resolving transaction stability in the securities industry, using an organization's security activities as a tool for carrying out information security activities, the effect of security activities on organizational performance was analyzed. Under the assumption that the effectiveness of information security activities can be bolstered to enhance organizational performance, such effects were analyzed based on Herzberg's motivation theory, which is one of the motivation theories that may influence information protection activities. To measure the actual attributes of the theoretical model, an empirical survey of the securities industry was conducted. In this explorative study, the proposed model was verified using partial least squares as a structural equation model consisting of IT service, information security, information sharing, transaction stability, and organizational performance.

A BERT-based Transfer Learning Model for Bidirectional HR Matching (양방향 인재매칭을 위한 BERT 기반의 전이학습 모델)

  • Oh, Sojin;Jang, Moonkyoung;Song, Hee Seok
    • Journal of Information Technology Applications and Management
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    • v.28 no.4
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    • pp.33-43
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    • 2021
  • While youth unemployment has recorded the lowest level since the global COVID-19 pandemic, SMEs(small and medium sized enterprises) are still struggling to fill vacancies. It is difficult for SMEs to find good candidates as well as for job seekers to find appropriate job offers due to information mismatch. To overcome information mismatch, this study proposes the fine-turning model for bidirectional HR matching based on a pre-learning language model called BERT(Bidirectional Encoder Representations from Transformers). The proposed model is capable to recommend job openings suitable for the applicant, or applicants appropriate for the job through sufficient pre-learning of terms including technical jargons. The results of the experiment demonstrate the superior performance of our model in terms of precision, recall, and f1-score compared to the existing content-based metric learning model. This study provides insights for developing practical models for job recommendations and offers suggestions for future research.

Analysis of Rainfall Runoff Delay Effect of Vegetation Unit-type LID System through Rainfall Simulator-based Probable Rainfall Recreation (인공강우기 기반 확률강우재현을 통한 식생유니트형 LID시스템의 우수유출지연 효과분석)

  • Kim, Tae-Han;Park, Jeong-Hyun;Choi, Boo-Hun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.22 no.6
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    • pp.115-124
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    • 2019
  • In a climate change environment where heat damage and drought occur during a rainy season such as in 2018, a vegetation-based LID system that enables disaster prevention as well as environment improvement is suggested in lieu of an installation-type LID system that is limited to the prevention of floods. However, the quantification of its performance as against construction cost is limited. This study aims to present an experiment environment and evaluation method on quantitative performance, which is required in order to disseminate the vegetation-based LID system. To this end, a 3rd quartile huff time distribution mass curve was generated for 20-year frequency, 60-minute probable rainfall of 68mm/hr in Cheonan, and effluent was analyzed by recreating artificial rainfall. In order to assess the reliability of the rainfall event simulator, 10 repeat tests were conducted at one-minute intervals for 20 minutes with minimum rainfall intensity of 22.29mm/hr and the maximum rainfall intensity of 140.69mm/hr from the calculated probable rainfall. Effective rainfall as against influent flow was 21.83mm/hr (sd=0.17~1.36, n=20) on average at the minimum rainfall intensity and 142.27mm/hr (sd=1.02~3.25, n=20) on average at the maximum rainfall intensity. In artificial rainfall recreation experiments repeated for three times, the most frequent quartile was found to be the third quartile, which is around 40 minutes after beginning the experiment. The peak flow was observed 70 minutes after beginning the experiment in the experiment zone and after 50 minutes in the control zone. While the control zone recorded the maximum runoff intensity of 2.26mm/min(sd=0.25) 50 minutes after beginning the experiment, the experiment zone recorded the maximum runoff intensity of 0.77mm/min (sd=0.15) 70 minutes after beginning the experiment, which is 20 minutes later than the control zone. Also, the maximum runoff intensity of the experiment zone was 79.6% lower than that of the control zone, which confirmed that vegetation unit-type LID system had rainfall runoff reduction and delay effects. Based on the above findings, the reliability of a lab-level rainfall simulator for monitoring the vegetation-based LID system was reviewed, and maximum runoff intensity reduction and runoff time delay were confirmed. As a result, the study presented a performance evaluation method that can be applied to the pre-design of the vegetation-based LID system for rainfall events on a location before construction.

Energy Efficient Transmission Parameters Analysis of TDMA Based HR-WPAN System for Ship Environment (선박환경에서 에너지 효율성을 고려한 TDMA기반 고속 WPAN시스템의 전송파라미터 분석)

  • Park, Young-Min;Lee, Woo-Young;Lee, Seong-Ro;Lee, Yeon-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.9A
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    • pp.712-718
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    • 2009
  • This paper proposes the optimal transmission parameter selection method for an energy efficient Wireless Personal Area Network (WPAN) system which is applicable to the Maritime Telematics targeting for various ship models. Since the transmission parameter selection is an important factor for WPAN system to decide its energy efficiency, we propose an energy consumption model for ship area network (SAN) employing IEEE 802.15.3 based TDMA HR-WPAN model and analyzes the effect of transmission parameter selection on the performance of energy consumption. In particular, the main performance decision parameter of the SAN applying HR-WPAN is path loss, since it is very varied according to the material of shipbuilding such as steel (large ship), FRP (medium size ship) and compound wood (small ship). Thus, we analyzed and demonstrated that the proper transmission parameter selection among transmit power, PHY data rate and fragment size for each ship model guarantee the energy efficiency.