• 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.

• Fire Science and Engineering
• /
• v.5 no.3
• /
• pp.15-22
• /
• 1991

It has been generally accepted that nuclear power (NPP) is suiable for power supply in korea because of its economical profits and pollution-free energy. When designing or operating a NPP. The main points to be home in mind are the hazards of and protection against an uncontrolled release of the large quantities of radioactiv substances which are always generated in a nuclear reactor while it is in iperation. Multiple independent safety systems are provided which should prevent this from occurring. Thus fire prevention measures in NPP follow the “Defense-in-depth” concept. This study aims to suggest the fire prevention measures and to demonstrate information which is needed for NPP planning and its safety assessment. The findings of this study can be used as useful data for fire protection plannings at the first phase of NPP design.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.05a
• /
• pp.135-138
• /
• 2018

In Japan, 24th May 2013, the Act on the Use of Numbers to Identify a Specific Individual in the Administrative Procedure (From now on referred to as the My Number Act) had raised. My Number system is used to confirm that information on individuals possessed by multiple agencies such as administrative agencies and local governments are information of the same person. In this paper, we analyzed the all item assessment report of the Specific Personal Information Protection Assessment conducted in local governments in Japan, etc. We investigated two directions: (1) Adequacy of risk assessment and measures, (2) Reuse of the Assessment Report.

• Journal of Chest Surgery
• /
• v.55 no.2
• /
• pp.118-125
• /
• 2022

Background: A time course analysis was undertaken to evaluate how perioperative process-of-care and outcome measures evolved after implementation of an enhanced recovery after thoracic surgery (ERATS) program. Methods: Outcome and process-of-care measures were compared between patients undergoing major elective thoracic surgery during a 9-month pre-ERATS implementation period to those at 1-3, 4-6, and 7-9 months post-ERATS implementation. Outcome measures included length of stay, the 30-day readmission rate, 30-day emergency department visits, and minor and major adverse events. Process measures included first time to activity, out-of-bed, ambulation, fluid diet, diet as tolerated, as well as removal of the first and last chest tube, epidural, patient-controlled analgesia, and Foley and intravenous catheters. Results: In total, 704 patients (352 pre-ERATS, 352 post-ERATS) were included. Mobilization-related process measures, including time to first activity (16.5 vs. 6.8 hours, p<0.001), out-of-bed (17.6 vs. 8.9 hours, p<0.001), and ambulation (32.4 vs. 25.4 hours, p=0.04) saw statistically significant improvements by 1-3 months post-ERATS implementation compared to pre-ERATS. Time to Foley removal improved by 4-6 months post-ERATS (19.5 vs. 18.2 hours, p=0.003). Outcome measures, including the 30-day readmission rate and emergency department visits, steadily decreased post-ERATS. By 7-9 months post-ERATS, both minor (18.2% vs. 7.9%, p=0.009) and major (13.6% vs. 4.4%, p=0.007) adverse events demonstrated statistically significant improvements. Length of stay trended towards improvement from 6.2 days pre-ERATS to 4.8 days by 7-9 months post-ERATS (p=0.06). Conclusion: The adoption of ERATS led to improvements in multiple process-of-care measures, which may collectively and gradually achieve optimization of clinical outcomes.

• Journal of Family Resource Management and Policy Review
• /
• v.26 no.3
• /
• pp.1-17
• /
• 2022

This study focused on the heterogeneity of groups in single-person households, to identify how middle-aged single-person households is categorized by sub-groups and to come up with policy measures to overcome social exclusion by examining predictive factors for the type of social exclusion. Potential class analysis and multinomial logistic regression analysis were conducted on a total of 361 middle-aged single-person households using the 14th Korea Replication Panel data. The social exclusion index of these households was measured consisting of 10 six-dimensional indicators. The results showed that middle-aged single-person households had five different types: "non-exclusion"(29.6%), "health restriction"(14.3%), "interact restriction and middle-risk multiple-exclusion" (12.0%), "income and health exclusion"(14.1%), and "high-risk multiple-exclusion"(30.0%). More than 70% of the respondents experienced social exclusion, and most of the exclusion types were multiple exclusion. When examining the factors affecting each exclusion type, the 'subjective health level' was a common major predictor, and family interact, age and leisure activity satisfaction variables were significant predictors of the 'high-risk multiple exclusion type' and 'the interact restriction and middle-risk multiple-exclusion type'. Based on these results, a multidimensional intervention strategy is an effective measure to solve the social exclusion problem of middle-aged single-person households, and practical measures should be considered by strengthening 'health' and exchanges.

• Journal of Korean Institute of Industrial Engineers
• /
• v.38 no.4
• /
• pp.262-275
• /
• 2012

This paper develops a multistage scheduling algorithm for the module operation of the LCD(Liquid Crystal Display) production systems and tests the efficiency of the proposed algorithm. The module operation is a multistage form composed of multiple sub operations of processes, and each stage is consists of multiple lines with the same kinds of machines. This paper presents a mathematical modeling reflecting the constraints of the LCD module operation and develops a multistage scheduling algorithm based on tabu search metaheuristic approach. For this purpose, an production order is assigned to a line of the sub operations and a sequence of the assigned order is rearranged to draw an efficient schedule. Simulation experiments test performance measures and show the efficiency of the proposed algorithm.

• Journal of Environmental Impact Assessment
• /
• v.9 no.4
• /
• pp.363-372
• /
• 2000

For any particular development project or environmental regulations, decision-making criteria is required and conflicts among criteria should be resolved. It is necessary to investigate criteria that government agencies employ in making decisions that influence the environment. The evaluation of alternative development proposals and regulatory measures involves much more than environmental issues. Economic, technical, and social factors should be considered along with environmental impacts when making evaluations. Evaluation should be based on values of all individuals who may be affected by public or private decisions. There are many evaluation methods for determining how individuals and groups value alternative public actions. Numerous weighting-scaling methodologies can be used in such evaluations. These methodologies represent adaptations of multiple-criteria or multiple-attribute decision-making techniques. Environmental risk assessment which accounts for uncertainties in choosing among alternative policies and projects is increasingly used.

• Proceedings of the Korean Society for Bioinformatics Conference
• /
• 2003.10a
• /
• pp.179-182
• /
• 2003

The Development of promoter recognition systems is a interesting problem in computational biology. In this paper, we introduce a intelligent system fur promoter recognition with multiple decision models using artificial neural networks. We have trained this models with 1871 human promoter sequences and 5230exon and intron sequences. Our system is found to perform better than other promoter finding systems insensitivity and specificity measures. We have tested our system with Chromosome 22 dataset.

• Journal of Korean Institute of Industrial Engineers
• /
• v.24 no.2
• /
• pp.211-221
• /
• 1998

It is very important to have a satisfactory measurement system, since it is useless to try to improve the manufacturing process without an adequate measurement system. Therefore, evaluation of the measurement system is the first step for the quality improvement of the manufacturing process. To estimate the measurement error we must conduct a controlled gage repeatability and reproducibility(gage R&R) study. Many manufacturers use a gage or instrument to measure multiple dimensions for the overall quality of the manufactured parts. In this case, it is necessary to estimate the gage R&R for multiple dimensions. When a gage measures a large number of dimensions of a part, it is very time-consuming and costly to measure all the dimensions. In this paper we propose the use of the principal component analysis method to identify a few principal components out of the original multivariate measurement capability to explain most of the measurement system variation pattern.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2002.11b
• /
• pp.101-109
• /
• 2002

In this paper, multiple object tracking system in a known environment is proposed. It extracts moving areas shaped on objects in video sequences and detects racks of moving objects. Color invariant co-occurrence matrices are exploited to extract the plausible object blocks and the correspondences between adjacent video frames. The measures of class separability derived from the features of co-occurrence matrices are used to improve the performance of tracking. The experimented results are presented.