• Journal of Korean Society for Quality Management
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• v.29 no.2
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• pp.54-75
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• 2001

The tremendous growth of the Internet, particularly World Wide Web, has resulted in significant changes in commerce environments. Internet has brought significant changes in the economics of marketing channels and has led to a redefinition of industry value chain. Electronic Commerce(EC) has become so important that countries and firms unprepared for this new trend would lose competitive advantages in the coming century of Digital Economy. Despite its importance, current EC markets in Korea are immature and there still exist several barriers to EC development thus excluding business to consumer EC markets. As interest in quality management and its effect on competitive performance has grown, there has been a corresponding proliferation of research. However, the majority of the research on quality management has not evolved in a comprehensive and rigorous fashion, particularly with regard to reliability and validity issues. The purpose of this paper investigates on Vitalization of the Activities of on-line shopping mall under of TQM system in Korea. That would make it possible to remove elements of insecurity and doubt currently felt by many users of on-line shopping mall(internet detail or cyber mall) business. In addition, we tried to find out what factors discourage consumers from using electronic purchasing methods, as well as how perceived quality factors and customer satisfaction when consumers are exposed to the purchase process on the on-line shopping mall business.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.82-90
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• 2010

New Zealand appears to be a water rich country; however there are considerable water allocation issues. Mostly these revolve around balancing environmental concerns with economic development. The largest economic sector is agriculture which currently utilizes around 80% of the allocated water and has considerable potential to increase in size. The resource management framework that New Zealand has developed over the past twenty years revolves around local decision-making and sustainable management principles. As the demands for water have grown there has been growing concern that this framework is inadequate to deal with the issues of declining water quantity and quality through agricultural intensification. In Canterbury, the region with the highest water allocation and demand, a new approach is being trialed. The Canterbury Water Management Strategy (CWMS) recognizes the need for: ecological restoration for past damage; infrastructure development for increased irrigation; and the need to link infrastructure with more efficient use of water by both existing and new water users. These three elements are recognized as having equal value. The CWMS builds on the local decision-making concept but is deliberately aimed at consensus building in order to remove expensive and adversarial resource management hearings. It is practical enough to recognize that economic development is needed but that it need not proceed in conflict with the environment, but rather can be a means towards environmental improvement.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.835-837
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• 2001

본 논문에서는 안전한 멀티캐스트를 위해 사용되는 암호화 키를 비대칭 Tree를 이용하여 관리하는 방법을 제안하였다. 기존의 대칭 Tree를 이용한 방법은 모든 사용자들을 같은 레벨에 위치시킴으로써 각 사용자들에 따라 다를 수 있는 Join/Remove 빈도수를 고려하지 않고 모두 똑 같은 확률을 가진 것으로 간주하여 그에 따른 불필요한 메시지 전송이 많았다. 그러나 본 논문에서 제안한 방법은 각 사용자의 빈도수를 고려하여 Tree를 비대칭으로 구성함으로써 키 관리를 위해 전송하는 메시지의 양을 효율적으로 줄일 수 있고 경우에 따라서는 Center와 사용자가 가진 키의 양도 기존 방법보다 상당히 작아질 수 있다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.10-17
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• 2016

Control Chart is a graph which dots the characteristic values of a process. It is the tool of statistical technique to keep a process in controlled condition. It is also used for investigating the state of a process. Therefore many companies have used Control Chart as the tool of statistical process control (SPC). Products from a production process represent accidental dispersion values around a certain reference value. Fluctuations cause of quality dispersion is classified as a chance cause and a assignable cause. Chance cause refers unmanageable practical cause such as operator proficiency differences, differences in work environment, etc. Assignable cause refers manageable cause which is possible to take actions to remove such as operator inattention, error of production equipment, etc. Traditionally ${\bar{x}}-R$ control chart or ${\bar{x}}-s$ control chart is used to find and remove the error cause. Traditional control chart is to determine whether the measured data are in control or not, and lets us to take action. On the other hand, RNELCC (Reflected Normal Expected Loss Control Chart) is a control chart which, even in controlled state, indicates the information of economic loss if a product is in inconsistent state with process target value. However, contaminated process can cause control line sensitive and cause problems with the detection capabilities of chart. Many studies on robust estimation using trimmed parameters have been conducted. We suggest robust RNELCC which used the idea of trimmed parameters with RNEL control chart. And we demonstrate effectiveness of new control chart by comparing with ARL value among traditional control chart, RNELCC and robust RNELCC.

• Environmental Engineering Research
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• v.20 no.2
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• pp.141-148
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• 2015

The presence of phenols in treated palm oil mill effluent (POME) is an environmental concern due to their phytotoxicity and antimicrobial activity. In this study, phenol-degrading bacteria, Methylobacterium sp. NP3 and Acinetobacter sp. PK1 were immobilized on oil palm empty fruit bunches (EFBs) for removal of phenols in the treated POME. The bacterial exopolysaccharides (EPS) were responsible for cell adhesion to the EFBs during the immobilization process. These immobilized bacteria could effectively remove up to 5,000 mg/L phenol in a carbon free mineral medium (CFMM) with a greater degradation efficiency and rate than that with suspended bacteria. To increase the efficiency of the immobilized bacteria, three approaches, namely activation, acclimation, and combined activation and acclimation were applied. The most convenient and efficient strategy was found when the immobilized bacteria were activated in a CFMM containing phenol for 24 h before biotreatment of the treated POME. These activated immobilized bacteria were able to remove about 63.4% of 33 mg/L phenols in the treated POME, while non-activated and/or acclimated immobilized bacteria could degrade only 35.0%. The activated immobilized bacteria could be effectively reused for at least ten application cycles and stored for 4 weeks at $4^{\circ}C$ with the similar activities. In addition, the utilization of the abundant EFBs gives value-added to the palm oil mill wastes and is environmentally friendly thus making it is attractive for practical application.

• Journal of Information Processing Systems
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• v.9 no.3
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• pp.435-460
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• 2013

Recommender systems are popular applications that help users to identify items that they could be interested in. A recent research area on recommender systems focuses on detecting several kinds of inconsistencies associated with the user preferences. However, the majority of previous works in this direction just process anomalies that are intentionally introduced by users. In contrast, this paper is centered on finding the way to remove non-malicious anomalies, specifically in collaborative filtering systems. A review of the state-of-the-art in this field shows that no previous work has been carried out for recommendation systems and general data mining scenarios, to exactly perform this preprocessing task. More specifically, in this paper we propose a method that is based on the extraction of knowledge from the dataset in the form of rating regularities (similar to frequent patterns), and their use in order to remove anomalous preferences provided by users. Experiments show that the application of the procedure as a preprocessing step improves the performance of a data-mining task associated with the recommendation and also effectively detects the anomalous preferences.

• The Korean Journal of Emergency Medical Services
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• v.2 no.1
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• pp.26-35
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• 1998

This study was to exhibit the effective emergency care method for the drowning and non-drowning who are reached two-thousand peoples every year in our country. For investigate the effective emergency care, this study was discussed as follows ; Pathophysiology of the water submersion, Fresh-water & sea-water drowning, Factors affecting survival, and Prehospital management. The conclusions from this study were summarized as follows; 1. Remove the patient from the water. If you suspect neck or spinal injuries, Always support the head and neck level with the back and, begin rescue breathing. 2. Maintain the airway and support ventilation in the water use the jaw-thrust technique to avoid farther injury to the neck or spine. We might encounter more resistance to ventilations than you expect because of water in the airway. Once you have determined that there are no foreign objects in the airway, apply ventilations with more force; adjust ventilations until you see the patient's chest rise and fall but not until you see gastric distention. Do not attempt to remove water from the patient's lungs or stomach. 3. If there is no pulse, begin CPR. 4. Administer high-flow supplemental oxygen; suction as needed. 5. Once the patient is breathing and has a pulse, assess for hemorrhage; control any serious bleeding that you find. 6. Cover the patient to conserve body heat, Handle the patient very gently, and, Transport the patient as quickly as possible to Emergency Department, Continuing resuscitative measures during transport. If the patient have the hypothermia, follow hypothermia management.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.681-693
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• 2022

The purpose of this study is to suggest a plan to utilize atypical data in the health care field by inferring standard medical terms related to the musculoskeletal system through keyword network analysis of medical records of patients hospitalized for musculoskeletal disorders. The analysis target was 145 summaries of discharge with musculoskeletal disorders from 2015 to 2019, and was analyzed using TEXTOM, a big data analysis solution developed by The IMC. The 177 musculoskeletal related terms derived through the primary and secondary refining processes were finally analyzed. As a result of the study, the frequent term was 'Metastasis', the clinical findings were 'Metastasis', the symptoms were 'Weakness', the diagnosis was 'Hepatitis', the treatment was 'Remove', and the body structure was 'Spine' in the analysis results for each medical terminology system. 'Oxycodone' was used the most. Based on these results, we would like to suggest implications for the analysis, utilization, and management of unstructured medical data.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.3
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• pp.1-7
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• 2022

In this study, inaccurate RSSI values of beacons are corrected using extended Kalman filter. For the experiment, the beacon was manufactured using Arduino Uno board and HM-10 Bluetooth module. RSSI values according to the distance between beacon and the viewer were measured at intervals of 1m, 1.5m, 2m, 2.5m, 3m, 3.5m, 4m, 4.5m, and 5m. To remove the irregular signal pattern of the beacon, the extended Kalman filter was applied to obtain the average and standard deviation of the actual distance and the measured distance, and it was confirmed that more than 76.6% of the irregular signal pattern was removed after using the extended Kalman filter.In addition, through the smartphone app, it was confirmed that the distance accuracy between the beacon and the measurer was less than the actual distance and the measured distance within 2m, and the standard deviation was small.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.73-84
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• 2020

Existing studies disagree over the core predictors of firm-level financial choices in developing countries. The general practice only validates the traditional capital structure model, which leads to inconsistency and a lack of novelty. This study removed overfitting issues among existing factors and presented the most reliable and advanced capital structure model in Pakistani firms. The panel data include 368 Pakistani companies from 19 non-financial sectors over the period 2004 to 2017. We apply Akaike and Bayesian Information Criteria to remove overfitting issues among inconsistent proxies in the capital structure model. The fixed effects regression is used for basic results and the Generalized Method of Moments is applied to control the endogeneity. Besides the conventional proxies, we report that credit rating, distance from bankruptcy, managerial concentration, and institutional quality are the most advanced capital structure determinants in Pakistan. These predictors remain significant across firm size and growth levels. Also, the findings confirm that new predictors are reliable to define capital structure dynamics and improve the speed of adjustment in overall and sub-sample analysis. The major findings suggest that managers and policymakers should consider these advanced predictors to design their financial settings in firms.