• 한국산업정보학회논문지
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• 제28권4호
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• pp.21-34
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• 2023

연합학습은 동기식 연합학습과 비동기식 연합학습으로 구분된다. 그 중에서 비동기식 연합학습은 동기식 연합학습 보다 시간적인 이득이 있으나 좋은 모델 성능을 얻기 위한 도전 과제가 남아있다. 특히 non-IID 학습 데이터셋에서 성능열화 방지, 적절한 클라이언트 선택 및 오래된 그래디언트 정보 관리는 모델 성능 개선에 있어 중요하다. 본 논문에서는 K-비동기식 연합학습을 다루고 있으며 non-IID 데이터셋을 통해 학습한다. 또한 기존 방식이 선택할 클라이언트 수에 있어서 정적인 K개를 사용한 것과 달리 동적으로 K 값을 조절하는 알고리즘을 제안하여 학습 시간을 줄일 수 있었다. 추가적으로, 오래된 그래디언트를 다루는 방식을 활용해 모델 성능 개선을 이루었음을 보여준다. 마지막으로 강한 모델 안정성을 얻기 위해 모델 성능을 평가하는 방식을 활용하였다. 실험 결과를 통해 전체 알고리즘을 활용했을 때 학습 시간 단축, 모델 정확도 향상, 모델 안정성 향상의 이득을 얻을 수 있음을 보여준다.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.577-582
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• 2020

The performance of a teacher has an important role in the success of education in general. This study aims to determine the factors that affect the decline in teacher performance in one of the junior secondary schools in Indonesia. Based on the literature review, four exogenous variables were identified, namely, training, utilization of information technology, intellectual intelligence, and emotional intelligence. This study uses primary data, collected from a questionnaire distributed to respondents. The questionnaire items are measured using a Likert scale. The sample in this study were all teachers at MTS Darul Falah Sirahan, totaling 32 people. The analysis technique used in testing the hypothesis of this study is multiple regression analysis. Statistical product and service solutions are used as analysis tools. The results of this study indicate that only the variable 'utilization of information technology' has a positive and significant effect. However, the variables 'training,' 'intellectual intelligence,' and 'emotional intelligence' did not have a significant effect. This finding contradicts the literature in general. Therefore, this study recommends improving training methods, both those carried out internally by schools and by related agencies, and schools still need to optimize guidance and potential for teacher's intelligence in improving performance.

• 인터넷정보학회논문지
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• 제25권1호
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• pp.49-56
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• 2024

There have been emerging many use-cases applying recommendation systems especially in online platform. Although the performance of recommendation systems is affected by a variety of factors, selecting appropriate features is difficult since most of recommendation systems have sparse data. Conventional matrix factorization (MF) method is a basic way to handle with problems in the recommendation systems. However, the MF based scheme cannot reflect non-linearity characteristics well. As deep learning technology has been attracted widely, a deep neural network (DNN) framework based collaborative filtering (CF) was introduced to complement the non-linearity issue. However, there is still a problem related to feature embedding for use as input to the DNN. In this paper, we propose an effective method using singular value decomposition (SVD) based feature embedding for improving the DNN performance of recommendation algorithms. We evaluate the performance of recommendation systems using MovieLens dataset and show the proposed scheme outperforms the existing methods. Moreover, we analyze the performance according to the number of latent features in the proposed algorithm. We expect that the proposed scheme can be applied to the generalized recommendation systems.

• 한국조경학회지
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• 제32권3호
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• pp.114-125
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• 2004

On the assumption that marketing is a useful technique to activate park use, this study aims to find what benefits people pursue and how much they attain them through a park visit. To achieve this, the survey of a Benefits-Sought for a park was conducted at four major parks in the city of Taejon and an Importance-Performance Analysis(IPA) was conducted. Additionally, a Present Condition survey was performed with the park managers. As a result, first, it was found that major benefits are a comfortable rest, an escape from bustling city life, to see natural scenery and to promote physical health, and so forth. Second, performance was relatively lower than importance in the case of recreation and leisure activities, which means that facilities should be improved and programs for park use should be developed. Third, at GaYang park, importance and performance are good in balance. DongChunDang park and Seattle park have 5 items and 7 items for which immediate improvements are required. Saemmeury park generally shows good proportions and it can be much activated by improving the learning and experiencing activities. The results objectively show conditions of neighborhood parks in the city of Taejon from a view of park users. Therefore, it is expected that the results would be useful in determining priorities when improving park facilities or their programs.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2010년도 춘계 학술대회 제22권1호
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• pp.479-480
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• 2010

콘크리트 구조물의 고성능, 고내구성화를 위해 콘크리트 뿐만 아니라 보강 재료에 대한 성능 향상이 요구되고 있다. 본 연구에서는 고성능의 보강재료를 복합적으로 적용하여 고강도 콘크리트 구조물의 성능 극대화를 도모하는 하이브리드 보강기법에 대한 연구를 수행하였다.

• International Journal of Advanced Culture Technology
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• 제9권1호
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• pp.52-57
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• 2021

Most internet companies in China are learning from Xiaomi Corporation's management model and to improving their organizational structures and human resource management practices. This study analyzed the development situation of Chinese Internet economy and the Internet thinking of Xiaomi which is a role model of Chinese Internet companies. In addition, we studied Xiaomi's organizational structure, human resource management, employee training, performance management and incentive system. In particular, Xiaomi's human resource management system has a great influence on the company's high performance and efficient service culture. Furthermore, the organization of Xiaomi is horizontally divided into three floors (7 key founders, department heads, and employees), each floor is managed by one founder. Xiaomi is interested in and considers not only the work of new employees, but also personal issues, and is concerned with the work of others in performance management and shares responsibility. Xiaomi adopts a unique and rational human resource management model, guaranteeing a lot of work autonomy for employees, and improving organizational performance.

• 품질경영학회지
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• 제34권4호
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• pp.125-132
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• 2006

An adjusted control limit of the $\overline{X}$ chart is proposed for monitoring the continually improving processes. The continual improvement of the process implies the decrease of the process variance, which is represented by a logistic curve. The process standard deviation is estimated by the exponentially weighted moving average of the sample standard deviations from the past to the current times. The control limits are adjusted by the estimated standard deviation at every sampling time. The performance of the adjusted control limit is compared with that of the standard control limits for various cases of the decreasing speed and size of the variance. The results show that the $\overline{X}$ chart with the adjusted control limits provides better performances for monitoring the small and moderate shifts in continually improving processes.

• Journal of Pharmaceutical Investigation
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• 제24권3호spc1호
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• pp.67-77
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• 1994

The RMS statistical approach has demonstrated its potential in developing pharmaceutical dosage forms and in improving tabletting performance. Using an optimized formula, the tabletting performances of vitamin C-90 such as compressibility, disintegration time, lubrication and friability are significantly enhanced when compared with the performance of a traditional test formula. More important, this method also enables us to serve our customers better. Any customized modification of a suggested formula or any technical problem related performance etc. can be readily resolved by simple examination of the models.

• 한국정보처리학회논문지
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• 제7권5호
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• pp.1446-1455
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• 2000

• 한국병원경영학회지
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• 제24권4호
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• pp.57-69
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• 2019

Purpose: This study aimed to analyze the job performance efficiency of nurses in the Neonatal Intensive Care Unit (NICU) by using the Data Envelopment Analysis (DEA). Additionally, the study aimed to provide a detailed method to improve the currently inefficient way in which nurses perform their jobs by differentiating the reference group of more efficient nurses, and to compare the characteristics of the more efficient group of nurses to those of the less efficient group of nurses. Methodology: This study evaluated the relative job performance efficiency of nurses by applying DEA to 43 nurses in the NICU. The input variables for the efficiency analysis were working career (years), time spent in direct nursing care (hours), overtime (hours), and job-related training (hours); the output variables were the job performance scores of professional practice, research, leadership, and education. Data were analyzed using SPSS IBM 23.0 and Open Source DEA (OSDEA). Findings: The relative job performance efficiency of the 43 nurses was 0.933, and 20 nurses were evaluated as more efficient. In addition, the study confirmed the possibility of improving the overall job performance efficiency by improving leadership, while controlling the current input variables. Lastly, the more efficient nurses had significantly higher job performance scores for research (t=2.028, p=0.049), leadership (t=2.036, p=0.048), and education (t=2995, p=0.005) than those who were less efficient. Practical Implications: It is suggested that job performance be evaluated using DEA to improve the overall job performance efficiency of NICU nurses. The analysis results from DEA for nurses becomes evidence in support of establishing individualized goals for each nurse, thus resulting in a foundation for systematic human resource management of nurses, and ultimately contributing to increase in the job performance efficiency of nurses.