• Journal of Industrial Convergence
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• v.3 no.2
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• pp.29-50
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• 2005

Audit review is the system to review the audit procedures performed and the audit opinion expressed by the independent auditors. The public audit review performed by Financial Supervisory Service (FSS) is regarded as one of the most important means to maintain the reliability of accounting information in Korea. We examinate the effect of audit review on earnings quality by using ERC (earnings response coefficient). We find that ERC of the sample group which issued the audit error reports after they were reviewed by SSB is more effective and higher than one of the non-reviewed group, matching group. We infer that the audit review system has the effectiveness in Korea.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.1-18
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• 2015

Collaborative filtering(CF) algorithm has been popularly used for recommender systems in both academic and practical applications. A general CF system compares users based on how similar they are, and creates recommendation results with the items favored by other people with similar tastes. Thus, it is very important for CF to measure the similarities between users because the recommendation quality depends on it. In most cases, users' explicit numeric ratings of items(i.e. quantitative information) have only been used to calculate the similarities between users in CF. However, several studies indicated that qualitative information such as user's reviews on the items may contribute to measure these similarities more accurately. Considering that a lot of people are likely to share their honest opinion on the items they purchased recently due to the advent of the Web 2.0, user's reviews can be regarded as the informative source for identifying user's preference with accuracy. Under this background, this study proposes a new hybrid recommender system that combines with users' review mining. Our proposed system is based on conventional memory-based CF, but it is designed to use both user's numeric ratings and his/her text reviews on the items when calculating similarities between users. In specific, our system creates not only user-item rating matrix, but also user-item review term matrix. Then, it calculates rating similarity and review similarity from each matrix, and calculates the final user-to-user similarity based on these two similarities(i.e. rating and review similarities). As the methods for calculating review similarity between users, we proposed two alternatives - one is to use the frequency of the commonly used terms, and the other one is to use the sum of the importance weights of the commonly used terms in users' review. In the case of the importance weights of terms, we proposed the use of average TF-IDF(Term Frequency - Inverse Document Frequency) weights. To validate the applicability of the proposed system, we applied it to the implementation of a recommender system for smartphone applications (hereafter, app). At present, over a million apps are offered in each app stores operated by Google and Apple. Due to this information overload, users have difficulty in selecting proper apps that they really want. Furthermore, app store operators like Google and Apple have cumulated huge amount of users' reviews on apps until now. Thus, we chose smartphone app stores as the application domain of our system. In order to collect the experimental data set, we built and operated a Web-based data collection system for about two weeks. As a result, we could obtain 1,246 valid responses(ratings and reviews) from 78 users. The experimental system was implemented using Microsoft Visual Basic for Applications(VBA) and SAS Text Miner. And, to avoid distortion due to human intervention, we did not adopt any refining works by human during the user's review mining process. To examine the effectiveness of the proposed system, we compared its performance to the performance of conventional CF system. The performances of recommender systems were evaluated by using average MAE(mean absolute error). The experimental results showed that our proposed system(MAE = 0.7867 ~ 0.7881) slightly outperformed a conventional CF system(MAE = 0.7939). Also, they showed that the calculation of review similarity between users based on the TF-IDF weights(MAE = 0.7867) leaded to better recommendation accuracy than the calculation based on the frequency of the commonly used terms in reviews(MAE = 0.7881). The results from paired samples t-test presented that our proposed system with review similarity calculation using the frequency of the commonly used terms outperformed conventional CF system with 10% statistical significance level. Our study sheds a light on the application of users' review information for facilitating electronic commerce by recommending proper items to users.

• KIISE Transactions on Computing Practices
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• v.22 no.5
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• pp.209-217
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• 2016

As smartphone usage increases, the number of consumers who refer to review data of e-commercial products using web sites and SNS is also explosively multiplying. However, reading review data using traditional websites and SNS is time consuming. Also, it is impossible for consumers to read all the reviews. Therefore, a system that collects review data of products and conducts sentiment word analysis of the review is required to provide useful information. The majority of systems that provide such information inadequately reflect the properties of the product. In this study, we described a system that provides analysis and evaluation of e-commerce products through review sentiment words as reflected properties of the product. Furthermore, the system enables consumers to access processed information about reviews quickly and in visual format.

• 한국연소학회:학술대회논문집
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• 2014.11a
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• pp.333-335
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• 2014

As the user demand for power plants becomes various, design objective becomes complicated. To review the system feasibility, system objective and evaluation criteria need to be newly defined. In this study, engineering design procedure of the multi-purpose power plant, such as barge-mounted combined cycle power plant with $CO_2$ capture, was shown as a previous work for the feasibility review of the system alternatives. For the system design, heat and mass balance for each system configuration was firstly performed. Using the thermal analysis results, conceptual design of system alternatives was carried out. And then, preliminary design of the major equipment was done. The engineering calculation results of this study would be used as the evaluation data for system feasibility review.

• YAKHAK HOEJI
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• v.53 no.6
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• pp.368-376
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• 2009

DUR (Drug Utilization Review) originally referred to the evaluation of drug usage details: however DUR refers to the system used to support the services of prescribing and dispensing through linking from Health Insurance Review and Assessment (HIRA) Service in Korea. HIRA is going to begin the DUR enforcement for extending to nationwide coverage after pilot test. Objectives: The aims for this study were to evaluate and clarify the current opinions of the pharmacists for the recognition and acceptance rates before nationwide coverage concerning DUR system. Methods: A 16-question-questionnaire was developed and pilot tested. For 40 days of survey by both on-line and fax paper, it was carried out on 80 pharmacists working at community pharmacy in Goyang-si, Gyeonggi-do. Results: Most of answers were broadly positive and interested in begining the DUR system and kept in mind that the goal of DUR is safety guarantee for people. On the other hand, most of answerers worry that delay of patient waiting time and inharmonious communication with doctors in DUR processing can be a major obstacle to begin the DUR system. Conclusion: To solve several problems, the most important things are to make good reciprocal relationships between doctors and pharmacists, investigate intervention tool to shorten patient waiting time, and activate educational program of inspecting items for the pharmacists.

• Korean Journal of Clinical Pharmacy
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• v.29 no.1
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• pp.25-32
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• 2019

Objective: South Korea made a list of potentially inappropriate medications (PIMs) for elderly patients in 2015 and has prompted medical professionals to prescribe proper medication by using the drug utilization review (DUR) system. It has been three years since the system was introduced, but related studies have rarely been conducted. This study aimed to evaluate the effect of the DUR system on the prescription of PIMs for elderly patients. Methods: The data on the prescription of PIMs for elderly patients (${\geq}65$ years) who received medical treatment between March 1st and May 31st in 2015 (before introduction of the DUR system) and who received medical treatment between March 1st and May 31st in 2018 (after introduction of the DUR system) were retrospectively collected from electronic medical records. Results: The prescriptions of PIMs decreased from 3,716 (7.7%) to 3,857 (6.9%) (p < 0.001). The prescription of escitalopram and paroxetine, among selective serotonin reuptake inhibitors, increased significantly, and that of short-acting benzodiazepines also increased significantly from 454 (0.93%) to 624 (1.2%). Conclusion: Prescription of PIMs for elderly patients significantly decreased (p < 0.001) after the DUR system was introduced. Further expanded studies of PIMs need to be conducted for the safety of elderly patients.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.1
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• pp.165-171
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• 2014

We develop an optimization algorithm for a periodic review inventory system under a stochastic budget constraint. While most conventional studies on the periodic review inventory system consider a simple budget limit in terms of the inventory investment being less than a fixed budget, this study adopts more realistic assumption in that purchasing costs are paid at the time an order is arrived. Therefore, probability is employed to express the budget constraint. That is, the probability of total inventory investment to be less than budget must be greater than a certain value assuming that purchasing costs are paid at the time an order is arrived. We express the budget constraint in terms of the Lagrange multiplier and suggest a numerical method to obtain optional values of the cycle time and the safety factor to the system. We also perform the sensitivity analysis in order to investigate the dependence of important quantities on the budget constraint. We find that, as the amount of budget increases, the cycle time and the average inventory level increase, whereas the Lagrange multiplier decreases. In addition, as budget increases, the safety factor increases and reaches to a certain level. In particular, we derive the condition for the maximum safety factor.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1163-1168
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• 2008

Automatic Train Protection(ATP) System is developed by ETCS(European Train Control System) CONSORTIUM for unify Europe railway system. ATP system is composed of Eurobalise and EuroATC. Nowadays, Korea construct ATP system in conventional line and new electrical locomotives also install ATP system. It is important to verify quality which form checklist during Factory Acceptance Test at beyond the seas. In this paper, review the process, test item, norm and checklist for the Balise Transmission Module, Compact Antenna Unit, Vehicle Control Unit and Communication Controller at the Plymouth Bombardier and Vasteras enics factory.

• Journal of Preventive Medicine and Public Health
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• v.16 no.1
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• pp.121-127
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• 1983

To identify the changes in professional services pattern after introducing the deligated system of claims review started in 1982, a university hospital under this system was examined. For comparison, claims of the hospital to Federation of Korean Medical Insurance Societies, where this system is not accepted, were reviewed. A total of 600 cases each were studied operated at the Departments of General Surgery & Orthopedic Surgery in 1981 and 1983. The results are summarized as follow: 1. Percentages of hospital charges for basic care was decreased by 10.2% and that for medical service increased by 8.4% in 1983. 2. After the introduction of the deligated review system, percentages of cutting off the claims was decreased by 12.4% for basic care and increased by 3.8% for medical services. 3. Percentage of testing liver function, and the frequency of administering high cost intravenous fluid injection, applicating Robinul as anesthetic premedication were decreased respectively after introducting the deligated services system.

• Journal of Acupuncture Research
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• v.41 no.2
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• pp.87-95
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• 2024

This review aims to analyze the efficacy of acupotomy in treating superior cluneal nerve entrapment syndrome (SCNES) by summarizing the findings of randomized controlled trials (RCTs). The RCTs were retrieved from seven databases (i.e., the Cochrane Library, PubMed, Embase, China National Knowledge Infrastructure, Korean Studies Information Service System, Research Information Service System, and Oriental Medicine Advanced Searching Integrated System). Seven RCTs were selected for this review. The results indicate that acupotomy is promising for providing significant pain relief and improving function in patients with SCNES. However, more high-quality RCTs are required to establish the long-term effectiveness and safety of acupotomy. This review provides valuable insights for clinicians and researchers in the management of SCNES.