• Title/Summary/Keyword: 능력기반평가

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A Case Study on the Management for Mid-to Senior Age Human Resources of Enterprises following the Extension of Retiring Age Law (정년연장 법제화에 대응하는 기업의 장년인력관리 사례연구)

  • Oh, Ji-hyun;Lee, Young-min
    • Journal of Practical Engineering Education
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    • v.6 no.2
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    • pp.119-126
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    • 2014
  • The purpose of this study is to take a look at the cases on managing the senior human resources of business enterprises following the significant number of retirement of baby-boom generation and obligatory retirement age of 60 years of age and present the implication points in policies. With respect to the implication of the company, it would urgently require the introduction of programs with long-term point of view for career management strategy from the time of employment to the resignation, settlement of company leave system called chulhyang, expansion of wage peak system, full-time job transfer support center within the enterprise for retirement management, expansion of various consulting, conversion of paradigm on senior human resource management of top management in the enterprise level. In the government level, it is considered as required for systematic supplementation of the chulhyang system, improvement of support system for employment encouragement fund, expansion of national work capability standard-based senior employment field as well as task development, support for innovation of personnel management system, supply of management manual and implementation of job transfer education for life-time conversion period in the government level.

An Effective Method for Comparing Control Flow Graphs through Edge Extension (에지 확장을 통한 제어 흐름 그래프의 효과적인 비교 방법)

  • Lim, Hyun-Il
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.8
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    • pp.317-326
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    • 2013
  • In this paper, we present an effective method for comparing control flow graphs which represent static structures of binary programs. To compare control flow graphs, we measure similarities by comparing instructions and syntactic information contained in basic blocks. In addition, we also consider similarities of edges, which represent control flows between basic blocks, by edge extension. Based on the comparison results of basic blocks and edges, we match most similar basic blocks in two control flow graphs, and then calculate the similarity between control flow graphs. We evaluate the proposed edge extension method in real world Java programs with respect to structural similarities of their control flow graphs. To compare the performance of the proposed method, we also performed experiments with a previous structural comparison for control flow graphs. From the experimental results, the proposed method is evaluated to have enough distinction ability between control flow graphs which have different structural characteristics. Although the method takes more time than previous method, it is evaluated to be more resilient than previous method in comparing control flow graphs which have similar structural characteristics. Control flow graph can be effectively used in program analysis and understanding, and the proposed method is expected to be applied to various areas, such as code optimization, detection of similar code, and detection of code plagiarism.

Determination of Additives Content in Aviation Turbine Fuel Using Multi-dimensional GC-MS (Multi-dimensional GC-MS를 이용한 항공터빈유의 첨가제 분석)

  • Youn, Ju Min;Jang, Yoon Mi;Yim, Eui Soon;Kim, Seong Lyong;Kang, Yong
    • Journal of the Korean Applied Science and Technology
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    • v.35 no.4
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    • pp.1260-1268
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    • 2018
  • To improve fuel performance and specific characteristics of long storage and moving through fuel systems additives should be added in kerosene type aviation turbine fuel (AVTUR) such as antioxidant, fuel system icing inhibitor (FSII), electric conductivity improvers and so on. The dosage of additives has to be analyzed qualitatively and quantitatively due to inspect the quality of abnormal fuel and distinguish other petroleum products. Multi-dimensional GC-MS (MDGC-MS) with Deans switching technique are applied the determination of antioxidant and FSII, which are added with AVTUR containing complex mixture of hydrocarbons. Antioxidant and FSII in the range of 2.5-20 mg/L was quantitatively and qualitatively analyzed using MDGC-MS and the detection limit was about twice as low as that of the 1-dimensional GC-MS results. The method in this study has been higher peak resolution compared with GC-MS and could be simultaneously analyzed different two additives without sample pre-treatment.

Prediction of water level in a tidal river using a deep-learning based LSTM model (딥러닝 기반 LSTM 모형을 이용한 감조하천 수위 예측)

  • Jung, Sungho;Cho, Hyoseob;Kim, Jeongyup;Lee, Giha
    • Journal of Korea Water Resources Association
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    • v.51 no.12
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    • pp.1207-1216
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    • 2018
  • Discharge or water level predictions at tidally affected river reaches are currently still a great challenge in hydrological practices. This research aims to predict water level of the tide dominated site, Jamsu bridge in the Han River downstream. Physics-based hydrodynamic approaches are sometimes not applicable for water level prediction in such a tidal river due to uncertainty sources like rainfall forecasting data. In this study, TensorFlow deep learning framework was used to build a deep neural network based LSTM model and its applications. The LSTM model was trained based on 3 data sets having 10-min temporal resolution: Paldang dam release, Jamsu bridge water level, predicted tidal level for 6 years (2011~2016) and then predict the water level time series given the six lead times: 1, 3, 6, 9, 12, 24 hours. The optimal hyper-parameters of LSTM model were set up as follows: 6 hidden layers number, 0.01 learning rate, 3000 iterations. In addition, we changed the key parameter of LSTM model, sequence length, ranging from 1 to 6 hours to test its affect to prediction results. The LSTM model with the 1 hr sequence length led to the best performing prediction results for the all cases. In particular, it resulted in very accurate prediction: RMSE (0.065 cm) and NSE (0.99) for the 1 hr lead time prediction case. However, as the lead time became longer, the RMSE increased from 0.08 m (1 hr lead time) to 0.28 m (24 hrs lead time) and the NSE decreased from 0.99 (1 hr lead time) to 0.74 (24 hrs lead time), respectively.

Application of Lee Silverman Voice Treatment-BIG(LSVT-BIG) Intervention to Improve Motor Functions and Quality of Life in People With Parkinson Disease (파킨슨병 환자에게 Lee Silverman Voice Treatment-BIG(LSVT-BIG) 프로그램의 적용이 운동기능과 삶의 질에 미치는 효과)

  • Park, Kang-Hyun;Kim, Jae-Hwan;Jang, Jong-Sik
    • Therapeutic Science for Rehabilitation
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    • v.8 no.1
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    • pp.73-84
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    • 2019
  • Objective: The purpose of this study is to compare the effect of Lee Silverman Voice Treatment-BIG(LSVT-BIG) intervention which consisted of standardized exercise programs and occupation-based activities for people with Parkinson Disease(PD) on motor functions and quality of life Methods: This study applied a one group pretest-posttest design. The experiment was divided into two parts: pre intervention and post intervention period. Before and after LSVT-BIG intervention, Unified Parkinson's Disease Rating Scale(UPDRS), Time up and go(TUG), Parkinson's Disease Questionnaire-39(PDQ-39) were used to measure the participants' motor functions and quality of life. Based on the LSVT-BIG protocol, three participants received 16 one-hour sessions over 4 weeks by a certified occupational therapist. The results were analyzed by using SPSS. Results: There were improvements in UPDRS and TUG. Additionally, PDQ-39 scores decreased in all participants, which means that their quality of life was improved. Conclusions: The study demonstrated positive effects of LSVT-BIG intervention on motor functions and quality of life of patients with PD.

Case Study of Service-Learning Linked to 'History of Science' Lecture for Pre-service Science Teachers (예비과학교사의 과학사 강좌 봉사-학습(Service-Learning) 운영 사례 연구)

  • Yoon, Ma-Byong
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.567-581
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    • 2019
  • Service-Learning (S-L) is an experiential learning-based teaching-learning method that connects students with curriculum and school-based community service and raises students' academic ability and social responsibility awareness through the value of 'reflection' and 'reciprocity'. This study analyzed the case of S-L course of 'History of Science and Inquire Activity' for pre-service science teachers (PSTs). The S-L lectures linked to the subjects of the History of Science were conducted in terms of three stages (Preparation-Implementation-Evaluation), and S-L classes were conducted in three schools five times. The educational effects of S-L lectures were analyzed by collecting questionnaires, class observation and self-reported reflection diary. The PSTs were able to understand the school realities and improve the teaching abilities and pedagogic content knowledge through educational service activities. The PSTs who participated in the S-L course had hard time due to excessive learning time, the difficulty of preparing the class, the fear of the class, and trial and error. Nonetheless, most of the students responded that they were very satisfied (4.68) with the S-L lecture, and that they could develop self-efficacy for their future teaching career thank to this learning experience.

Stress Reduction Effect of Buddhism and Mind Healing Lectures Measured by QEEG (정량뇌파(QEEG)로 측정한 불교와 마음치유 강의의 스트레스 저감 효과)

  • Kim, Jun-Beom;Hwang, Joon-Sung;Weon, Hee-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.585-594
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    • 2021
  • This Quasi-experimental study was started under the assumption that the stress of students who participated in Buddhism and Mind Healing Lectures based on an understanding of the scriptures will be relieved through the lectures, thereby enhancing their psychological stability, thinking ability, and enhancing understanding. Stress can be confirmed through a self-report test, but in this study, quantitative EEG was measured to evaluate the stress level and secure objectivity. To this end, the difference between the 1st week as pre and 15th week as post quantitative EEG was verified for the experimental group taking the Buddhism and Mind Healing Lecture held from March to June 2019 at S University in G-gu, Seoul, and the control group who did not. The Mann Whitney U test and Wilcoxon code ranking test were used as analysis methods because the number of subjects was 14. As a result, there was a significant difference in the beta wave (F7, T3, 4, T5) and the high beta wave (F7, F8, T3, T4) in the experimental group. The coherence was also improved, while there was no significant difference in the control group. Buddhism and Mind Healing Lectures improved stress.

A Review of Person-centered Care in Nursing Homes (노인요양시설의 인간 중심 케어 (Person-centered care)에 대한 연구)

  • Yoon, Ju Young;Roberts, Tonya;Bowers, Barbara J.;Lee, Ji Yun
    • 한국노년학
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    • v.32 no.3
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    • pp.729-745
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    • 2012
  • The purpose of this study is to review person-centered care models and the scientific evidence for the impact of person-centered care in U.S. nursing homes, and to analyze the applicability of person-centered care for Korean long-term care system. The most commonly recognized person-centered care models were Eden Alternative, Green House, and Wellspring model. The core components of the three models were autonomy, close relationships, homelike environment, and staff empowerment. Thirty eight empirical studies including 10 model testing studies and 28 studies to examine the impact of person-centered care interventions indicated generally positive outcomes in terms of residents, family, and staff/organization level. The authors analyzed the current situation in the Korean long-term care system with respect to the specific core constructs of person-centered care, and proposed applicable models and practical suggestions in consideration of Korean context. Lastly, future considerations regarding policy and research were discussed.

Assessing Conservation Priority of Private Land in Unexecuted Urban Parks in Seoul Using Betweenness Centrality Analysis (매개중심성 분석을 활용한 서울시 미집행공원 내 사유지 보전 우선순위 평가)

  • Hwang, Byungmook;Ko, Dongwook W.;Kang, Wanmo
    • Journal of Korean Society of Forest Science
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    • v.110 no.1
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    • pp.22-34
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    • 2021
  • The implementation of the sunset provision of unexecuted urban parks in Seoul has been postponed; however, the mentioned parks still remain vulnerable since they can be subject to development under certain circumstances. Local governments may purchase the parks to prevent their loss but are constrained due to limited resources. The purpose of this study is to prioritize the purchase of unexecuted urban parks in Seoul based on landscape connectivity, which represents the important role of allowing the movement of wildlife and providing biodiversity in urban environments. In this study, we used four potential scenarios (PB100, PB1, PA100, PA1), which reflects the degree of land cover change resulting from the implementation of the sunset provision, and the role of Han River as a conduit or barrier for wildlife movement. Landscape connectivity was evaluated by calculating current flow betweenness centrality (CFBC). This was used to rank the importance of the unexecuted urban parks in Seoul. The results demonstrated that the implementation of the sunset provision will greatly decrease the connectivity of all parks in Seoul and particularly more so for parks in the southern part of the city. In addition, the results suggested that the low connectivity of Han river will diminish the connectivity around Bukhansan Mountain in the northern part of Seoul. Our study can be used for the prioritization of purchase, since it has the ability to evaluate the anticipated vulnerability of each park's connectivity after the sunset provision.

Evaluation of hydropower dam water supply capacity (III): development and application of drought operation rule for hydropower dams in Han river (발전용댐 이수능력 평가 연구 (III): 한강수계 발전용댐 가뭄단계별 운영기준 개발 및 효과 분석)

  • Jeong, Gimoon;Kang, Doosun;Kim, Taesoon
    • Journal of Korea Water Resources Association
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    • v.55 no.7
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    • pp.531-543
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    • 2022
  • Integrated water resources management (IWRM) has focused on efficient response to various water related disasters by climate change. In particular, more flexible usage of conventional water resources infrastructures is expected to provide an eco-friendly water management. Multi-purpose dams and water supply dams are well known as water management facilities for securing and supplying water in drought season. Recently, based on the report '2021 multi-purpose use of hydropower dams in Han river', contribution of hydropower dams on water resources management is becoming more significant beyond the traditional role of hydropower generation. In drought conditions, the dams control water supply depending on the pre-defined drought stages. In the case of multi-purpose dams, an operation standard during drought has been already prepared and applied; however, for the hydropower dams, specific standards are not fully prepared yet in South Korea. In this study, a method for calculation of standard water storage and discharge reduction of hydropower dams according to drought stage is newly proposed reflecting the characteristics of hydropower dams. The proposed method was applied to the hydropower dams in Han river, where six hydropower dams are located. A case study of the historical droughts occurred in 2014-2017 demonstrated that the proposed hydropower dam operation rule could improve the water supply stability under severe drought conditions compared to the conventional operations. In the future, the role of hydropower dams for water resources management is expected to become more important, and this study can be widely used for water supply planning such as drought response using hydropower dams.