• Title/Summary/Keyword: IT Efficiency

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Deriving Strategic Priorities of Green ICT Policy using AHP and ANP (AHP와 ANP 방법론을 이용한 그린 ICT 정책의 전략적 우선순위 도출 방안)

  • Shim, Yong-Ho;Byun, Gi-Seob;Lee, Bong-Gyou
    • Journal of Internet Computing and Services
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    • v.12 no.1
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    • pp.85-98
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    • 2011
  • Recently, the world faces a global environmental crisis by the increase of energy consumption and global warming. Since the crisis directly affects political, economic, social, and environmental areas, many countries prepare Green ICT policy to overcome it. However, although Green IT policy provides many benefits by solving environmental pollution and increasing energy efficiency, Korean government did not prepare measures by the policy. The purpose of this study is to suggest priorities of political goals for maximizing the efficiency after introducing Green ICT policy in Korea. Major variables are drawn for the analysis, and they are eco-friendliness, technology evolution, economic efficiency, energy efficiency, and stable supply of energy. The variables are suggested based on 'Low Carbon, Green Growth Act', then the survey was conducted to policy expert using AHP(Analytic Hierarchy Process) and ANP(Analytic Network Process) for prioritizing variables. As a result of the AHP, it is derived in the order of eco-friendliness, technology evolution, economic efficiency, energy efficiency, and stable supply of energy. The ANP result shows in the order of technology evolution, energy efficiency, economic efficiency, eco-friendliness, and stable supply of energy. The research is conducted to analyze the priorities of goals for Green IT policy, and the analysis results are possible to use as a practical guideline for establishing associated policies in the future.

An Organizational Diagnostic Model for Food Service Firms Using the Delphi Technique (외식기업 조직진단모형 개발에 관한 연구 - 델파이 기법으로 -)

  • Paik, Yu-Tae;Choi, Serin;Choi, Kyu-Wan
    • Journal of the Korean Society of Food Culture
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    • v.28 no.3
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    • pp.282-292
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    • 2013
  • The purpose of this study is to identify a suitable organizational diagnostic model for analyzing the management efficiency of food service firms. We used the three-iteration Delphi technique on a panel of 19 business employees, 7 industry experts, and 4 employees in the food service industry. A total of 36 assessment indicators were developed through this panel, with numerous major findings. First, it is important to evaluate the leadership qualities of employees in terms of their motivation and competency. Second, it is important to evaluate the ability of employees to interface well with other employees. Third, it is important to evaluate and manage the brand image recognized by customers. Fourth, it is important to evaluate the fairness and regularity of the rewards given for an excellent job performance. Fifth, it is important to evaluate the level of communication and information distribution in the organizational culture. Last, but not least, it is important to evaluate the transparency and fairness of an organization in its human resource management (HRM) and the efficiency of its organizational structure. In conclusion, this study empirically shows how food service firms can develop an organizational diagnostic model to increase their managerial efficiency.

Research on the NOx Reduction Rate of Diesel Vehicle for Euro-6 (Euro-6 대응 경유 차량의 NOx 저감율 분석 연구)

  • Kang, Minkyung;Kwon, Seokjoo;Seo, Youngho
    • Journal of Institute of Convergence Technology
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    • v.7 no.1
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    • pp.15-18
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    • 2017
  • As emission gas regulation of deisel vehicles is strengthened to Euro-6, It becomes difficult to deal with NOx regulated value mainly by EGR without additional after-treatment system. In addition, RDE(Real Driving Emissions) test will be introduced after september 2017. Therefore, It is essential to develop the after-treatment of diesel vehicles which reduce NOx emissions. It is possible to use DOC, DPF, LNT or DOC, DPF and SCR as a after-treatment system for reducing NOx. However, It is expected that the SCR will be applied widely because LNT alone does not have sufficient NOx purification efficiency. In this study, It tried to analyze the efficiency of reducing NOx emissions during the mode test by attaching a NOx sensor to test vehicle. As a result, It was confirmed that NOx emissions was significantly reduce through the after-treatment system from engine. And the NOx reduction efficiency of SCR was about 4.5 times better than DOC, DPF.

The effect of domain understanding on IT outsourcing performance based on a learning model of IT outsourcing (IT아웃소싱 환경에서 도메인이해도가 성과에 미치는 영향: 조직학습, 지식이전 및 아웃소싱비율의 조절효과를 중심으로)

  • Won, Youshin;Lee, Choong C.;Yun, Haejung
    • Knowledge Management Research
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    • v.17 no.2
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    • pp.205-229
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    • 2016
  • Owing to the current economic downturn, one of the most important goals of the organizations who are actively involved in Information Technology Outsourcing (ITO) is the cost efficiency. We focus on supplier firm's domain understanding to make the cost efficiency; therefore, we examine how the disadvantages from lower domain knowledges affect outsourcing performance moderated by outsourcing ratio and knowledge change environments. That is, if clients can endure disadvantage from service providers' lower domain knowledge, they can achieve cost efficiency by choosing lower domain knowledge suppliers with less expensive cost. To examine performance gap depending on the environments, we applied 'A Learning Model of IT Outsourcing' which is suggested by previous literature. As a result, we suggest five strategies for clients to contract with suppliers which have lower domain knowledge: (1) Prepare the strategy to endure disadvantages from the early stage. (2) Make the strategy depending on outsourcing ratio. (3) Knowledge transfer between organizations is important. (4) Make a short-term contract if they do not have good environments for organizational learning. (5) Client's knowledge change environments are more important than those of supplier's. Finally, we offer various implications for clients and suppliers in IT outsourcing.

Analysis of Powertrain Characteristics for Output Split Type Plug-in Hybrid Electric Vehicle (출력분기 기반 플러그인 하이브리드 전기자동차의 동력전달 시스템 특성 분석)

  • Kim, Jeongmin
    • Transactions of the Korean Society of Automotive Engineers
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    • v.23 no.1
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    • pp.112-121
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    • 2015
  • In this paper, powertrain of output split type plug-in hybrid electric vehicle is analyzed for the operation range of speed, torque, and power. First, it is assumed that the efficiency of motor is 100%. And, the speed and torque equations are derived based on the lever analogy. With the above equations, the simulations are performed for the powertrain of output split type plug-in hybrid electric vehicle. From the simulation results, it is found that the output torques of EV1 and series modes are larger than the EV2 and power split modes' ones. It means the EV1 and series modes can be used for the rapid acceleration. But the EV1 and series modes can be used only the velocity of under the 120 km/h. It is because the motor reaches its maximum speed when the velocity is over the 120 km/h for the EV1 and series modes. When the engine is turned on, the engine power is transmitted through the two motors. But, the power split mode shows the power split of engine at the output shaft, and it has the point of zero motor power. Thus, the transmission efficiency of the power split mode can be higher than the series mode's one, it the motor efficiency is considered.

Application of activated carbon induced ballasted flocculation for improving activated sludge settleability (활성슬러지 침전성 향상을 위한 활성탄 가중응집제 적용 연구)

  • Kim, Yongbum;Yang, Hyeji;Choi, Younggun
    • Journal of Korean Society of Water and Wastewater
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    • v.35 no.2
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    • pp.153-162
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    • 2021
  • The effects of activated carbon originated Ballasted Flocculant (BF) on the settleability of activated sludge and the recovery of BF by Hydro-cyclone (HC) were analyzed experimentally. Two kinds of BF (M-I: 125-250 ㎛, M-II: 250-425 ㎛ in dia.) and three kinds of activated sludges with different SS concentration (2,300-7,100 mg/L) were applied for this study. With the dosage variation of BF from 0.14 to 1.3 g-BF/g-SS, we could obtain 24-31% improvement in SV30 (Sludge Volume after 30min sedimentation) for the lowest SS concentration sludge (2,300 mg/L). Whereas the SV30 improvement was much higher as 44-48% for the highest SS concentration sludge (7,100 mg/L). The settling characteristics of the sludge with BF followed Vesilind model the best among three models (Vesilind, Takacs and Cho model). HC could effectively separate BF with the separation efficiency of 70-90% and over 95% separation efficiency could be obtained when the HC was applied twice.

A Study on the Relative Efficiency and Productivity Change of IT Firms received Policy Fund (정책자금 받은 IT 기업의 상대적 효율성 및 생산성 변화 연구)

  • Kang, Ho-Jung;Jeon, In-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.3
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    • pp.677-683
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    • 2009
  • This study measures the relative efficiency and productivity change of IT firms received policy fund using DEA model and Malmquist Index for 2006-2007. The main results of this study can by summarized as follows. First, in case of efficiency of CCR for 2006-2007, the number of efficient firms(CCR value is one) are six firms, six firms, respectively. Second, in case of efficiency of BCC for 2006-2007, the number of efficient firms(BCC value is one) are eleven firms, thirteen firms respectively. Third, In case of return to scale for 2006-2007, DRS are fifteen firms and fourteen firms respectively. IRS are two firms and one firm respectively. DRS firms can improve efficiency by the reduction of scale and IRS Firms can improve efficiency by the increase of scale. Fourth, Mean value of Malmquist Index representing productivity change for 2006-2007 are bigger than 1.00. This imply that productivity increase was achieved.

A Study on the Performance Analysis of AIoT High-Efficiency Streetlamp for Carbon Emissions (탄소배출권용 AIoT 고효율 가로등 성능분석 연구)

  • Seung-Ho Park;Seong-Uk Shin;Kyung-Sunl Yoo
    • Journal of Advanced Technology Convergence
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    • v.2 no.4
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    • pp.13-19
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    • 2023
  • Following the signing of the Paris Agreement on Climate Change (UNFCCC, 2015), the world is expanding greenhouse gas reduction activities through comprehensive participation that includes not only developed countries but also developing countries. Major countries around the world are placing high expectations on the effectiveness of total carbon emissions regulation through the carbon emissions market. However, in order to obtain carbon credits, third-party verification is required based on quantitative carbon reduction data. Accordingly, in this paper, we developed an AIoT high-efficiency street light for carbon emissions and conducted a performance analysis study to measure the luminous efficiency of the lighting fixture. To obtain carbon emissions rights, we used high-efficiency LED PKG, developed our own high-voltage PFC, and developed high-efficiency lighting fixtures capable of communication. For communication, the 2.4GHz LoRa method was adopted between the lighting fixture and the gateway. Lens design was conducted through simulation of Korea Expressway Corporation's standard streetlight types A, B, and C. The performance of the streetlight was verified as being more efficient than other existing products through the measurement of luminous efficiency by an accredited rating agency, and it is expected that carbon emissions rights will be obtained by reducing electrical energy through this.

A Comparison Analysis on the Efficiency of Solar Cells of Shingled Structure with Various ECA Materials (다양한 ECA 소재를 활용한 shingled 구조의 태양전지 효율 비교 분석)

  • Jang, Jae Joon;Park, Jeong Eun;Kim, Dong Sik;Choi, Won Seok;Lim, Donggun
    • Journal of the Korean Solar Energy Society
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    • v.39 no.4
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    • pp.1-9
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    • 2019
  • Modules using 6 inch cells have problems with loss due to empty space between cells. To solve this problem made by shingled structure which can generate more power by utilizing empty space by increasing the voltage level than modules made in 6inch cell. Thus, in this paper, the c-Si cutting cells were produced using nanosecond green laser, and then the ECA was sprayed and cured to perform cutting cell bonding. Three types of ECA materials (B1, B2, B3) with Ag as the main component were used, and experimental conditions varied from 5 to 120 seconds of curing time, 130 to $210^{\circ}C$ of curing temperature, and 1 to 3 of curing numbers. As a results of experiments varying curing time, B1 showed efficiency 19.88% in condition of 60 seconds, B2 showed efficiency 20.15% in 90 seconds, and B3 showed efficiency 20.27% in 60 seconds. In addition, experiments with varying curing temperature, It was confirmed highest efficiency that 20.04% in condition of $170^{\circ}C$ with B1, 20.15% in condition of $150^{\circ}C$ with B2, 20.27% in condition of $150^{\circ}C$ with B3. These are because the Ag particles are densely formed on the surface to make the conduction path. After optimizing the conditions of temperature and curing time, the secondary-tertiary curing experiments were carried out. as the structural analysis, conditions of secondary-tertiary curing showed cracks that due to damp heat aging. As a result, it was found that the ECA B3 had the highest efficiency of 20.27% in condition of 60 seconds of curing time, $150^{\circ}C$ of curing temperature, and single number of curing, and that it was suitable for the manufacture of Solar cell of shingled structure rather than ECA B1 and B2 materials.

Evaluation of Operational Efficiency among Long-Term Care Visiting Nursing Centers using Data Envelopment Analysis (자료포락분석을 이용한 노인장기요양 방문간호센터 운영의 효율성 평가)

  • Lim, Ji Young;Kim, Seonhee;Oh, Eunsook;Song, Su Young
    • Journal of Home Health Care Nursing
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    • v.27 no.1
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    • pp.16-28
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    • 2020
  • Purpose: The aim of this study was to evaluate the efficiency of long-term care visiting nursing centers in communities using data envelopment analysis (DEA). Methods: Data were collected using a self-reported questionnaire. The average number of staff per 6 months and total space of center were used as input variables. The average number of clients per 6 months and the average profits per 6 months were used as output variables. EMS Window version 3.1 was used to measure the efficiency scores. Descriptive statistics and tobit regression were applied to analyze the general characteristics of the variables and the factors affecting efficiency scores. Results: The average efficiency of 30 long-term care visiting nursing centers in communities was approximately 66.9% on technical efficiency analysis, and 79.1% on scale efficiency analysis. Eight nursing centers on technical efficiency analysis and 12 centers on scale efficiency analysis had 100.0% efficiency. Conclusion: Our findings reveal that long-term care visiting nursing centers in communities have low operational efficiency. Therefore, it is essential to institute policies and regulations to improve the efficiency of visiting nursing centers and to strengthen the business competencies of center officers.