• The Journal of the Korea Contents Association
• /
• v.3 no.2
• /
• pp.57-64
• /
• 2003

A Web Service is an URL addressable set of functionality that is exposed over a network to serve as a building Hock for creating distributed applications. SOAP is a protocol that Web Service consumers often use, when they request and response to a Web Service, and it is a lightweight, XML-based protocol over HTTP for exchange to information in decentralized, distributed environments. A Web Service is very useful forimplementing common functions in especially a large size business area, because it is invoked by a protocol like HTTP or SOAP that we easily use, and by an XML-based data format In this paper, we implement Web Services that process dip data by computers in enterprise accounts in order to enhance the transparency and productivity of enterprises. we analyse the structure of slip data, design dip database, implement stored procedures for manipulating data of slip database, and make thorn controlled by Web Services. The result of this paper will contribute to the standardization and activation of accounting process systems for e-business area.

• KIPS Transactions on Computer and Communication Systems
• /
• v.3 no.2
• /
• pp.31-42
• /
• 2014

Debugger systems are necessary to apply dynamic program analysis when evaluating security properties of embedded system software. It may be possible to make the use of software-based debugger and/or DBI framework if target devices support general purpose operating systems, however, constraints on applicability as well as environmental transparency might be incurred thereby hindering overall analyzability. Analysis with JTAG (IEEE 1149.1) debugging devices can overcome these difficulties in that no change would be involved in terms of internal software environment. In that sense, JTAG API can facilitate to practically perform dynamic program analysis for evaluating security properties of target device software. In this paper, we introduce an implementation of JTAG API to enable analysis of ARM core based embedded systems. The API function set includes the categories of debugger and target device controls: debugging environment and operation. To verify API applicability, we also provide example analysis tool implementations: our JTAG API could be used to build kernel function fuzzing and live memory forensics modules.

• Journal of Digital Convergence
• /
• v.17 no.6
• /
• pp.93-104
• /
• 2019

The ppuri industry is growing in technical importance due to the 4th industrial revolution and is growing steadily. However, securing skilled workers is hardly realistic, and foreign workers are increasing. The purpose of this study is to find organizational commitment on for improvement of in-role performance of foreigners and Koreans working in ppuri companies and to find ways to support differentiation through comparison between groups. The subjects of this study were foreigners and Koreans in the ppuri company. Through the survey, 393 valid samples were collected. We use structural equation modeling to verify the research hypotheses, and conducted a survey on the employees of organization with information security policy. The results showed that in the case of foreigners, balanced processing affects in-role performance through organizational commitment. In the case of Koreans, relational transparency, balanced processing, and internalized moral perspectives affect in-role performance through organizational commitment. The results of the analysis suggest a strategic approach to improve the in-role performance of each group.

• Journal of Oriental Neuropsychiatry
• /
• v.29 no.4
• /
• pp.255-266
• /
• 2018

Objectives: The objective of this study was to evaluate the reliability and validity of Pattern Identifications Tool for Cognitive Disorders (PIT-C) and verify the correlation with other related scales. Methods: The study in this protocol is a single group, prospective, observational one. The subjects of the study were men and women between the ages of 45 and 85, diagnosed with neurocognitive disorders by Diagnostic and Statistical Manual of Mental Disorder (fifth Edition) criteria (n=60, Clinical Dementia Rating (CDR)=0.5, Korean Version of Montreal Cognitive Assessment $(MoCA-K){\leq}22$). The reliability of PIT-C was evaluated as test-retest and inter-rater reliability. And correlation between PIT-C and other related scales was also assessed. Results: This study was approved by the Institutional Review Board (IRB) of Dunsan Korean Medicine Hospital of Daejeon University and registered in the Clinical Research Information Service (CRIS), and was made public in advance to ensure transparency of the research process and conduct ethical clinical trials. Conclusions: The results of this study can be used to classify neurocognitive disorders as Korean medicine and PIT-C will be helpful tool for primary health care.

• Journal of the Korea Convergence Society
• /
• v.10 no.9
• /
• pp.283-289
• /
• 2019

This study intends to examine how authentic leadership affects psychological well-being and job performance among flight attendants. To test hypotheses, this study performed survey to flight attendants of big airlines in Korea for about two months from October 1 to December 5, 2018. 200 copies of the questionnaire was distributed, and 180 were collected. Among them, 21 copies where many questions were unanswered or not very seriously answered were discarded. So, 159 copies in total were used for analysis. Statistical analysis was done with SPSS 22.0 and AMOS 21.0. The results are as follows. First, balanced information processing, self-awareness, self-awareness have significant effect on psychological well-being, while relational transparency have not. Second, psychological well-being have significant effect on job performance. Consequently, all the hypotheses in this study except for hypothesis 1-3 were adopted.

• The Korean Journal of Archival Studies
• /
• no.52
• /
• pp.39-58
• /
• 2017

It is the responsibility of the government organization in the field of history and archives to control preproduction of records and their production sphere. Moreover, it should also manage all kinds of archives and presidential records as its function is to manage and share public information, and carry out compilations of historical records. With this, this study explains how having all these functions would make the ideal reorganization of the government. It should correspond to principle of Government's reorganization such as transparency, responsibility, communication. A plan for reformation needs two-track approach. I would like to propose the establishment of the 'Ministry of National Archives' or the 'National Memory Committee' at the organization that is in charge of national records and memory management. It means that the National memory isn't limited to public sphere. In terms of Total archives, the organizations should contain the whole community's memory. This organization should be formed independently.

• International Journal of Industrial Entomology and Biomaterials
• /
• v.45 no.2
• /
• pp.56-69
• /
• 2022

Silk is a unique natural biopolymer with outstanding biocompatibility, high mechanical strength, and superior optical transparency. Due to its excellent properties, silk has been widely reported as an ideal biomaterial for several biomedical applications. Recently, fluorescent silk protein, a variant of native silk, has been reported as a biophotonic material with the potential for bioimaging and biosensing. Despite the realization of fluorescent silk, the traditional degumming process of fluorescence silk is crude and often results in fluorescence loss. The loss of fluorescent properties is attributed to the sensitivity of silk fibroin to temperature and solvent concentration during degumming. However, there is no comprehensive information on the influence of these processing parameters on fluorescence evolution and decay during fluorescent silk processing. Therefore, we conducted a spectroscopic study on fluorescence decay as a function of temperature, concentration, and duration for fluorescent silk cocoon degumming. Sodium carbonate solution was tested for degumming the fluorescent silk cocoons with different concentrations and temperatures; also, sodium carbonate solution is combined with Alcalase enzyme and triton x-100 to find optimal degumming conditions. Additionally, we conducted a molecular dynamics study to investigate the fundamental effect of temperature on the stability of the fluorescent protein. We observed degumming temperature as the prime source of fluorescent intensity reduction. From the MD study, fluorescence degradation originated from the thermal agitation of fluorescent protein Cα atoms and fluctuations of amino acid residues located in the chromophore region. Overall, degumming fluorescent silk with sodium carbonate and Alcalase enzyme solution at 25 ℃ preserved fluorescence.

• KIPS Transactions on Software and Data Engineering
• /
• v.12 no.8
• /
• pp.333-340
• /
• 2023

Efficient prediction of corporate bankruptcy is an important part of making appropriate lending decisions for financial institutions and reducing loan default rates. In many studies, classification models using artificial intelligence technology have been used. In the financial industry, even if the performance of the new predictive models is excellent, it should be accompanied by an intuitive explanation of the basis on which the result was determined. Recently, the US, EU, and South Korea have commonly presented the right to request explanations of algorithms, so transparency in the use of AI in the financial sector must be secured. In this paper, an artificial intelligence-based interpretable classification prediction model was proposed using corporate bankruptcy data that was open to the outside world. First, data preprocessing, 5-fold cross-validation, etc. were performed, and classification performance was compared through optimization of 10 supervised learning classification models such as logistic regression, SVM, XGBoost, and LightGBM. As a result, LightGBM was confirmed as the best performance model, and SHAP, an explainable artificial intelligence technique, was applied to provide a post-explanation of the bankruptcy prediction process.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.4
• /
• pp.152-159
• /
• 2023

This study endeavors to enrich investment prospects in cryptocurrency by establishing a rationale for investment decisions. The primary objective involves evaluating the predictability of four prominent cryptocurrencies - Bitcoin, Ethereum, Litecoin, and EOS - and scrutinizing the efficacy of trading strategies developed based on the prediction model. To identify the most effective prediction model for each cryptocurrency annually, we employed three methodologies - AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Prophet - representing traditional statistics and artificial intelligence. These methods were applied across diverse periods and time intervals. The result suggested that Prophet trained on the previous 28 days' price history at 15-minute intervals generally yielded the highest performance. The results were validated through a random selection of 100 days (20 target dates per year) spanning from January 1st, 2018, to December 31st, 2022. The trading strategies were formulated based on the optimal-performing prediction model, grounded in the simple principle of assigning greater weight to more predictable assets. When the forecasting model indicates an upward trend, it is recommended to acquire the cryptocurrency with the investment amount determined by its performance. Experimental results consistently demonstrated that the proposed trading strategy yields higher returns compared to an equal portfolio employing a buy-and-hold strategy. The cryptocurrency trading model introduced in this paper carries two significant implications. Firstly, it facilitates the evolution of cryptocurrencies from speculative assets to investment instruments. Secondly, it plays a crucial role in advancing deep learning-based investment strategies by providing sound evidence for portfolio allocation. This addresses the black box issue, a notable weakness in deep learning, offering increased transparency to the model.

• Journal of Biomedical Engineering Research
• /
• v.44 no.5
• /
• pp.315-323
• /
• 2023

The objective of this study is to identify the selective application targets for reporting on details of supply of class 1 and 2 medical devices as part of the improvement of the reports on details of supply of medical device system, and to analyze its effectiveness. Therapeutic materials covered by health insurance and secondhand medical devices were chosen based on the transparency of health insurance coverage and the management of medical device distribution. As a result, approximately 85% of groups can be excluded from the reporting requirements compared to reporting all items under Class 1 and 2 medical devices. This is expected to enhance the efficiency of supply reporting tasks. Additionally, the information on supply details managed by the regulatory authority can be utilized for statistical analysis and periodic monitoring, serving as fundamental data for the development of medical device-related policies and research in the field of medical devices.