• Proceedings of the Korean Society for Quality Management Conference
• /
• 2009.10a
• /
• pp.147-161
• /
• 2009

This study uses data envelopment analysis(DEA) to examine the relative efficiency in the production of research of 414 Korean universities utilizing the Ministry of Education, Science and Technology Report(MESTR) focusing on the 2009. This study has examined DEA and how it measures the efficiency of university units. This study has also useful suggested various approaches to advance efficiency and can provide substantial guidance for increasing the competitiveness between universities, through identifying problematic areas with the input factors and by doing so improving the output factors.

• Management & Information Systems Review
• /
• v.5
• /
• pp.81-101
• /
• 2000

The purpose of this comparative study is to compare and evaluate venture business of electronic and communication industry by Data Envelopment Analysis(DEA). DEA is a linear programming-based technique that converts multiple input and output measures into a single comprehensive measures of productive efficiency. In this paper, the CCR model and trend analysis model are used to examine the efficiency of 18 venture business. Input variables are number of employees. raw-material costs and production capability and output variables are real production, sales revenues and net income after taxes. DEA approach broad information like as efficiency level of each Decision Making Unit(DMU), reference group of efficiency improvement and trends of efficiency shift. Finally, the correlation of input and output variables are examined to examine the relationship among variables.

• The Journal of Fisheries Business Administration
• /
• v.47 no.2
• /
• pp.1-14
• /
• 2016

This study applied the Stochastic Frontier Analysis to estimate which independent variable affects to efficiency of aquaculture household. This study used wage and facility scale as input variables, sales volume as an output variable to estimate efficiency. Also, the study used region, species, water quality to estimate technical inefficiency factors of the model. The data used for this study were obtained by the operating costs survey using 1:1 interview method. The study selected translog production model with technical inefficiency term estimated as half-normal distribution. In addition, the study used pearson and spearman correlation coefficient among efficiency estimating models. Also, the study analysed differences among estimated efficiencies through t-test, and showed us 0.1793 in species, 0.4677 between Geojae and Masan.

• Journal of Power Electronics
• /
• v.2 no.1
• /
• pp.67-75
• /
• 2002

This paper presents the control algorithm for maximum efficiency drives of an induction motor system with the high dynamic performance. This system uses a simple model of the induction motor that includes equations of the iron losses. The model, which only requires the parameters of the induction motor, is referred to a field-oriented frame. The minimum point of the input power can be obtained at the steady state condition. The proposed optimal efficiency control algorithm calculates the reference torque and flux currents for the vector control of the induction motors. A 32 bit floating point TMS320C32 DSP chip implements the drive system with the efficiency optimization controller. The results show the effectiveness of the control strategy Proposed for the induction motor drive.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.5 no.3
• /
• pp.203-211
• /
• 2001

This paper presents load transfer efficiency of skewed transverse joint of jointed concrete pavement with the fatigue model test. A 1/12 scale model was used to satisfy the geometry, loading, material similitude, which are variables to the skew angel of transverse joint. As the test results by fatigue load 700kgf applied, the deflection and stress of transverse joint were decreased as to increasing of skew angle of transverse joint. In addition, load transfer efficiency of transverse joint with skew angle is better than the load transfer efficiency of transverse joint without skew angle.

• Proceedings of the Safety Management and Science Conference
• /
• 2008.11a
• /
• pp.189-199
• /
• 2008

It is good to use DEA method as it can measure the efficiency without depending on a specific function like cost function. The method also finds out the most efficient group among the sample groups and gives us a specific number. For example, it shows what kind of factor of inefficient group gives how much input and produces how much output. Originally DEA, which was developed by Charnes, Cooper and Rhodes, allows us not only to measure the relative efficiency of Decision Making Units(DMUs) of non-profit organizations whose success cannot be measured by a single bottom-line figure such as profit but also to integrate several variables, which have different measuring scale, into a single model. Therefore we can use physical scales and financial scales simultaneously in the same model without any transformation process. In this study, price and measurable performance indexes of vehicles are used as input and outputs respectively. The purpose of this study is to propose an effective approach for evaluating the relative efficiency of vehicles and to determine the vehicles have high performance efficiency compared to product cost.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.18 no.3
• /
• pp.361-367
• /
• 2008

Many trials have been used to model room impulse responses, all attempting to provide efficient representations of room acoustics. The traditional model designs for room impulse response seem to fail in accuracy, controllability, or computational efficiency. In the time domain, room impulse responses are generally considered as combination of the three Parts having different acoustic characteristics, initial time delay, early reflection, and late reverberation. This paper introduces new learning hybrid model for room impulse responses. In this proposed model, those three parts are modeled using different models with learning algorithms that determine the boundary of each model in the hybrid model. By the simulation with measured room impulse responses, the performance of proposed model shows the best efficiency in views of computational burden and modeling error.

• Korean Journal of Computational Design and Engineering
• /
• v.10 no.1
• /
• pp.49-60
• /
• 2005

Existing CAD systems have configured geometry data and it is necessary to extend the configured geometry into a knowledge-based system. An intelligent CAD system emerged to provide such a knowledge-based system. However the intelligent CAD system has a limited product model to represent various knowledge models. This paper presents a model, called extended intelligent CAD model, which can extend the product model of the intelligent CAD system into further detailed knowledge model. The extended intelligent CAD model includes a whole design process knowledge and an efficiency of the model has been verified via a knowledge based wiper design system. The model can improve the functionality and efficiency of the existing CAD systems.

• Journal of Information Processing Systems
• /
• v.15 no.6
• /
• pp.1335-1349
• /
• 2019

Crowdsensing technologies can improve the efficiency of smart parking system in comparison with present sensor based smart parking system because of low install price and no restriction caused by sensor installation. A lot of sensing data is necessary to predict parking lot saturation in real-time. However in real world, it is hard to reach the required number of sensing data. In this paper, we model a saturation predication combining a time-based prediction model and a sensing data-based prediction model. The time-based model predicts saturation in aspects of parking lot location and time. The sensing data-based model predicts the degree of saturation of the parking lot with high accuracy based on the degree of saturation predicted from the first model, the saturation information in the sensing data, and the number of parking spaces in the sensing data. We perform prediction model learning with real sensing data gathered from a specific parking lot. We also evaluate the performance of the predictive model and show its efficiency and feasibility.

• The Journal of the Korea Contents Association
• /
• v.17 no.2
• /
• pp.316-326
• /
• 2017

In this research, in order to analyze the efficiency of vocational education and training public services, we analyzed 27 projects conducted in Chungcheongnamdo province in 2014 using DEA. Also we compared the efficiency of 2014 projects with 2013 projects, and verified 3 representative DMU's inefficiency to suggest how to improve the efficiency. The DEA examined the efficiency using CCR model, BCC model and SE(CCR / BCC). As a result of this analysis, the total project costs and the number of projects were increased in 2014 from 2013, but it turned out that the number of inefficient projects were increased and the overall efficiency is decreased. Therefore, in order to improve efficiency, we proposed to allocate labor costs and direct project costs appropriately. In the case of large-scale projects, it was confirmed that reducing the scale of the project is important to increase the overall efficiency. Based on this research, we are presenting a research model that analyzes the efficiency of vocational education and training, and expanding the research area of performance management into the area of various public services.