• Title/Summary/Keyword: Resource efficiency

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A Study on Organizational Model Design for Organization Diagnosis and Operation Improvement of Public Libraries: The Case of Gimhae Public Library (공공도서관의 조직 진단 및 운영 개선을 위한 조직모델 설계 연구 - 김해시 공공도서관을 중심으로 -)

  • Cha, Sung-Jong;Kim, Soo-Kyoung
    • Journal of Korean Library and Information Science Society
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    • v.50 no.1
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    • pp.125-155
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    • 2019
  • The purpose of this study is to design an organizational model to improve the operation of the Gimhae Municipal Library through diagnosis and analysis of its organization. For this purpose, a new organizational model for the Library was designed while reconstruction of the human resource of each unit library was proposed according to the reorganization through research methods such as literature research, case study, FGI survey, etc. The organizational model was eventually designed with three alternatives: an organization for integration of related tasks, one for enhancement of policy function and finally one for improvement of administrative efficiency. We have found that it is the most empirical to measure required number of personnel by 'comparison of benchmarked local governments' method as a result of calculating the required number of staffs of the Library based on macro and micro approach; thus the appropriate number of staff of each unit library was worked out.

High-revenue Online Provisioning for Virtual Clusters in Multi-tenant Cloud Data Center Network

  • Lu, Shuaibing;Fang, Zhiyi;Wu, Jie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1164-1183
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    • 2019
  • The rapid development of cloud computing and high requirements of operators requires strong support from the underlying Data Center Networks. Therefore, the effectiveness of using resources in the data center networks becomes a point of concern for operators and material for research. In this paper, we discuss the online virtual-cluster provision problem for multiple tenants with an aim to decide when and where the virtual cluster should be placed in a data center network. Our objective is maximizing the total revenue for the data center networks under the constraints. In order to solve this problem, this paper divides it into two parts: online multi-tenancy scheduling and virtual cluster placement. The first part aims to determine the scheduling orders for the multiple tenants, and the second part aims to determine the locations of virtual machines. We first approach the problem by using the variational inequality model and discuss the existence of the optimal solution. After that, we prove that provisioning virtual clusters for a multi-tenant data center network that maximizes revenue is NP-hard. Due to the complexity of this problem, an efficient heuristic algorithm OMS (Online Multi-tenancy Scheduling) is proposed to solve the online multi-tenancy scheduling problem. We further explore the virtual cluster placement problem based on the OMS and propose a novel algorithm during the virtual machine placement. We evaluate our algorithms through a series of simulations, and the simulations results demonstrate that OMS can significantly increase the efficiency and total revenue for the data centers.

TB and Knapsack Based Improved Scheduling Techniques for Multi-Function Radar (TB와 냅색 기반의 향상된 다기능 레이다 스케줄링 기법)

  • Hwang, Min-Young;Yang, Woo-Young;Shin, Sang-Jin;Chun, Joohwan
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.12
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    • pp.976-985
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    • 2018
  • Modern radars such as the phase array radar can handle various tasks by generating a beam from a phased array antenna. Radar can be used for miscellaneous applications such as surveillance, tracking, missile guidance etc. Previous radar systems could handle only one task at a time. As such, multiple radars were required to perform simultaneous tasks. Multi-function radars can perform many tasks using only one radar system. However, the radar's resources are limited in this instance. To efficiently utilize time, it is necessary to properly schedule tasks in the radar's timeline. In this report, we investigate the efficiency of different scheduling tasks.

Design of MAC Protocol for Improving Energy Efficiency and Reducing Transmission Delay in EH-WSN (EH-WSN에서 에너지 효율 향상 및 전송지연 축소를 위한 MAC 프로토콜 설계)

  • Park, Seok Woo;Ra, In-Ho
    • Smart Media Journal
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    • v.8 no.2
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    • pp.21-28
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    • 2019
  • Recent research on energy harvesting wireless sensor networks focuses on the development of techniques to solve the limited energy resource problem and to extend the whole network life efficiently. Energy harvesting technology can increase the lifetime of a network, but data transmission becomes unavailable when it harvests energy from radio frequency, resulting longer network delay with respect to the increased time in energy harvesting. Therefore, building energy harvesting wireless sensor network should consider the possible network delay as well as the network lifetime problem. In this paper, we propose a new MAC protocol that minimizes end-to-end network delay by adjusting the data transmission time for a packet based on estimating the energy for data transmission along with the amount of traffic flowing into the network and harvested energy. For this goal, it engineers an energy management mechanism that adjusts the sleep time of the network by measuring energy harvesting time. In addition, with simulation results it shows that the proposed MAC protocol improves the performance in terms of energy consumption and end-to-end delay, compared to the existing MAC protocols.

The Effect of Employee's Self Leadership of Construction Company on Organization Citizenship Behaviour and Organizational Trust through Psychology Empowerment (중소 ICT건설기업 조직원의 셀프리더십이 심리적 임파워먼트 통하여 조직시민행동과 조직신뢰에 미치는 영향)

  • Choi, JaeYoung;Hwang, Changyu
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.3
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    • pp.207-223
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    • 2019
  • This study aims to explore the casual relation between construction company employees' Self-Leadership and two variables: Organization Citizenship Behaviour and Organizational Trust through Psychology Empowerment. To explain in details, this study examines how the independent variable, Self Leadership, with its behavior-focused, natural reward and constructive thought pattern strategies, affects the dependent variable, Organization Citizenship Behavior and Organizational Trust through the intervening variable, Psychology Empowerment. A survey was conducted on current employees of construction companies in metropolitan areas to empirically examine the research model. The result of study hypothesis on Self-Leadership is as follows; first, Self-Leadership showed a positive effect on Psychology Empowerment, Organization Citizenship Behaviour and Organizational Trust. Second, Psychology Empowerment showed a positive effect on Organization Citizenship Behaviour. Third, Psychology Empowerment showed a positive effect on Organizational Trust. The capacity of individuals is critical when it comes to competitiveness of construction companies. When employees willingly participate in building trust within the company, the work place will become more and more constructive; based on trust, efficiency will increase because people from different processes can work together and performance will also improve even when project managers are absent because others could help their role instead, thus driving more efficient human resource management to the company. To conclude, a company's vision can be spread wide and far when their employees engage themselves in Learning Organization with Self Leadership. They will also be satisfied with their work through improving interpersonal relationship at work.

A Study on the Optimum Size of Rainwater Utilization in Detached Residential Complex (단독주택단지의 빗물이용시설 적정 규모 설정 연구)

  • Baek, Jongseok;Kim, Hyungsan;Shin, Hyunsuk;Kim, Jaemoon;Park, Kyungjae
    • Journal of Korean Society on Water Environment
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    • v.34 no.6
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    • pp.669-677
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    • 2018
  • Torrential rain and drought are repeated due to the increase in the unpredictable fluctuating of rainfall patterns. It is time for stabilize water resource management in terms of disaster prevention. Distributed control from sources is needed to minimize damages caused by torrential rains and droughts. Rain barrel can be used to reduce the runoff as they collect and store rainwater. In response to this situation, Seoul Metropolitan Government and other local governments implemented a project to support the installation of rain barrel and provided 90% of the cost of installing it in private areas. However, with limited budget, it is difficult to distribute rainwater to the city which is mostly covered by private areas. In this study, Samho-dong, Ulsan, where pilot projects of water cycle leading city are underway, analyzed the effects of reducing the runoff with respect to the amount of rainwater that can be used, and analyzed the economics of recoverable investment cost when installed. From the analysis, it was established that it is possible to show sufficient efficiency with a small capacity without the need to install large rain barrel effectively in the private sector, and to support the installation cost of less than 70 percent of the rainwater can be recovered.

Supply Chain Coordination for Perishable Products under Yield and Demand Uncertainty: A Simulation Approach (수요와 수율의 불확실성을 고려한 공급망 조정)

  • Kim, Jin Min;Choi, Suk Bong
    • Journal of Korean Society for Quality Management
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    • v.46 no.4
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    • pp.959-972
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    • 2018
  • Purpose: This study developed a simulation model that incorporates the uncertainty of demand and yield to obtain optimized results for supply chain coordination within environmental constraints. The objective of this study is to examine whether yield management for perishable products can achieve the goal of supply chain coordination between a single buyer and a single supplier under a variety of environmental conditions. Methods: We investigated the efficiency of a revenue-sharing contract and a wholesale price contract by considering demand and yield uncertainty, profit maximizing ratio, and success ratio. The implications for environmental variation were derived through a comparative analysis between the wholesale price contract and the revenue-sharing contract. We performed Monte Carlo simulations to give us the results of an optimized supply chain within the environments defined by the experimental factors and parameters. Results: We found that a revised revenue-sharing contracting model was more efficient than the wholesale price contract model and allowed all members of the supply chain to achieve higher profits. First, as the demand variation (${\sigma}$) increased, the profit of the total supply chain increased. Second, as the revenue-sharing ratio (${\Phi}$) increased, the profits of the manufacturer gradually decreased, while the profits of the retailer gradually increased, and this change was linear. Third, as the quality of yield increased, the profits of suppliers appear to increased. At last, success rate was expressed as the profit increased in the revenue-sharing contract compared to the profit increase in the wholesale price contract. Conclusion: The managerial implications of the simulation findings are: (1) a strategic approach to demand and yield uncertainty helps in efficient resource utilization and improved supply chain performance, (2) a revenue-sharing contract amplifies the effect of yield uncertainty, and (3) revised revenue-sharing contracts fetch more profits for both buyers and suppliers in the supply chain.

A Study on the prediction of BMI(Benthic Macroinvertebrate Index) using Machine Learning Based CFS(Correlation-based Feature Selection) and Random Forest Model (머신러닝 기반 CFS(Correlation-based Feature Selection)기법과 Random Forest모델을 활용한 BMI(Benthic Macroinvertebrate Index) 예측에 관한 연구)

  • Go, Woo-Seok;Yoon, Chun Gyeong;Rhee, Han-Pil;Hwang, Soon-Jin;Lee, Sang-Woo
    • Journal of Korean Society on Water Environment
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    • v.35 no.5
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    • pp.425-431
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    • 2019
  • Recently, people have been attracting attention to the good quality of water resources as well as water welfare. to improve the quality of life. This study is a papers on the prediction of benthic macroinvertebrate index (BMI), which is a aquatic ecological health, using the machine learning based CFS (Correlation-based Feature Selection) method and the random forest model to compare the measured and predicted values of the BMI. The data collected from the Han River's branch for 10 years are extracted and utilized in 1312 data. Through the utilized data, Pearson correlation analysis showed a lack of correlation between single factor and BMI. The CFS method for multiple regression analysis was introduced. This study calculated 10 factors(water temperature, DO, electrical conductivity, turbidity, BOD, $NH_3-N$, T-N, $PO_4-P$, T-P, Average flow rate) that are considered to be related to the BMI. The random forest model was used based on the ten factors. In order to prove the validity of the model, $R^2$, %Difference, NSE (Nash-Sutcliffe Efficiency) and RMSE (Root Mean Square Error) were used. Each factor was 0.9438, -0.997, and 0,992, and accuracy rate was 71.6% level. As a result, These results can suggest the future direction of water resource management and Pre-review function for water ecological prediction.

Effects of microencapsulated organic acids on growth performance, nutrient digestibility, fecal microbial counts, and blood profiles in weaning pigs

  • Lee, Jun Soeng;Kim, Tae Heon;Song, Min Ho;Oh, Han Jin;Yun, Won;Lee, Ji Hwan;Kim, Yong Ju;Lee, Byong Kon;Kim, Hyeun Bum;Cho, Jin Ho
    • Journal of Animal Science and Technology
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    • v.63 no.1
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    • pp.104-113
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    • 2021
  • This study was conducted to investigate the efficiency of a microencapsulated mixture of organic acids (MOA) with low protein in piglet feed on growth performance, diarrhea score, nutrient digestibility, fecal microbial counts, and blood profiles in weaning pigs. A total of 80 pigs [(Landrace × Yorkshire) × Duroc; 6.8 ± 0.48 kg] were randomly assigned to four dietary treatment groups: high protein (HP); low protein (LP); MOA1, LP + 0.2% MOA; and MOA2, LP + 0.3% MOA. The MOA2 group had higher average daily weight gains (during days 0-14 and days 0-28), diarrhea score (during days 0-14, during days 14-28 and days 0-28) and greater digestibility of dry matter (days 14 and 28) compared to the LP group (p < 0.05). However, there were no significant differences (p > 0.05) between the pigs fed diets with the MOA1 and MOA2 in blood profiles and fecal microflora. In conclusion, this study indicates that piglets fed 0.3% MOA in low protein diets maintained similar growth performance and nutrient digestibility, but alleviated the incidence of diarrhea compared to piglets fed high protein diets.

A Study on the Performance Evaluation of Reclaimed Asphalt Concrete Mixture with Rejuvenator (재생첨가제를 적용한 순환 아스팔트 콘크리트 혼합물의 공용성능 평가에 관한 연구)

  • Ga, Hyun-Gil;Mun, Sung-Ho
    • Land and Housing Review
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    • v.13 no.4
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    • pp.125-134
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    • 2022
  • Reclaimed aggregates through waste asphalt are produced and utilized for waste resource utilization. This study conducts quality tests and performance evaluations for mixtures with Rejuvenator applied to reclaimed asphalt concrete. Through quality testing and performance evaluation, the study investigates whether there is any problem in using reclaimed asphalt concrete by replacing general hox mix asphalt. As a result, the values of ordinary hot mix asphalt are similar to those of reclaimed asphalt, suggesting that the substitution does not create critical engineering issues. Using reclaimed asphalt concrete has the advantages of increasing economic efficiency and utilizing waste resources.