• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.166-171
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• 2023

The Stock price analysis is an increasing concern in a financial time series. The purpose of the study is to analyze the price parameters of date, high, low, and news feed about the stock exchange price. Long short term memory (LSTM) is a cutting-edge technology used for predicting the data based on time series. LSTM performs well in executing large sequence of data. This paper presents the Long Short Term Memory Model has used to analyze the stock price ranges of 10 days and 20 days by exponential moving average. The proposed approach gives better performance using technical indicators of stock price with an accuracy of 82.6% and cross entropy of 71%.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.192-193
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• 2020

In reinforced concrete adhesion studies, the demolition of the specimen is inevitably involved, and the studies conducted are limited to the macro load-displacement analysis. In order to establish an elaborate model for concrete bonding reinforced rebars, it is necessary to observe the rebar bonding behavior in the in-situ state. In this study, specially manufactured reinforcing bars, micro-UTM and 𝝁-computer tomography (𝝁CT) are used to observe reinforcing bars in the in-situ state. As a result of the monotonic pullout test of the processed reinforcing bar, maximum bond stress were shown to be 16.7MPa, which is slightly higher than the existing 10 to 12 MPa, and then the empty space inside the specimen in which the pullout test was conducted using 𝝁CT was confirmed. Through additional research, the fracture phenomenon of concrete excluding voids will be studied.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.205-211
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• 2024

The increasing number of botnet attacks incorporating new evasion techniques making it infeasible to completely secure complex computer network system. The botnet infections are likely to be happen, the timely detection and response to these infections helps to stop attackers before any damage is done. The current practice in traditional IP networks require manual intervention to response to any detected malicious infection. This manual response process is more probable to delay and increase the risk of damage. To automate this manual process, this paper proposes to automatically select relevant countermeasures for detected botnet infection. The propose approach uses the concept of flow trace to detect botnet behavior patterns from current and historical network activity. The approach uses the multiclass machine learning based approach to detect and classify the botnet activity into IRC, HTTP, and P2P botnet. This classification helps to calculate the risk score of the detected botnet infection. The relevant countermeasures selected from available pool based on risk score of detected infection.

• The Journal of Korean Association of Computer Education
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• v.6 no.4
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• pp.181-193
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• 2003

The purpose of this study was to find effects of hypertext structure and self-direction on learning performance. To reach the goal, we got 69 H highschool students and tested self-direction we treat hypertext program to them. The results found were that hypertext style(non-structure, structure) didn't effect on academic achievement but did effect 1earner's self direction. Also, we found interactive effect of hypertext structure and self-direction on academic achievement. Following studies have limits verified learning effect, because this studies are carried out in short-term research. Further studies need the study of effect of hypertext structure and self-direction on academic achievement for a long-term research. Also, further studies should accomplish the study considering learner characteristics besides self-direction and will need succeeding studies including various learning contents besides computer general curriculum.

• Proceedings of the Korea Association of Information Systems Conference
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• 1996.11a
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• pp.29-48
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• 1996

Previous studies on user training have largely focused on assessing models which describe the determinants of information technology usage or examined the effects of training on user satisfaction, productivity, performance, and so on. Scant research efforts have been made, however, to examine those effects of training by using theoretical models. This study presented a conceptual model to predict intention to use information technology and conducted an experiment to understand how training for computer skill acquisition affects primary variables of the model. The data were obtained from 32 student subjects of an experimental group and 31 students of a control group, and the information technology employed for this study was a university's electronic mail system. The study results revealed that attitude toward usage and perceived behavioral control helped to predict user intentions; outcome expectations were positively related to attitude toward usage; and self - efficacy and perceived behavioral control. The changes in those variables suggest more causal effects of user training than other survey studies.

• The Journal of Information Systems
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• v.5
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• pp.345-371
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• 1996

Previous studies on user training have largely focused on assessing models which describe the determinants of information technology usage or examined the effects of training on user satisfaction, productivity, performance, and so on. Scant research efforts have been made, however, to examine those effects of training by using theoretical models. This study presented a conceptual models to predict intention to use information technology and conducted an experiment to understand how training for computer skill acquisition affects primary variables of the model. The data were obtained from 32 student subjects of an experimental group and 31 students of a control group, and the information technology employed for this study was a university electronic mail system. The study results revealed that attitude toward usage and perceived behavioral control helped to predict user intentions ;; outcome expectations were positively related to attitude toward usage ; and self-efficacy was positively related to perceived behavioral control. The hands-on training for the experimental group led to increases in perceived ease of use, self-efficacy and perceived behavioral control. The changes in those variables suggest more causal effects of user training than other survey studies.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.6
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• pp.296-301
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• 2002

Modern power systems are very complex and to model them completely is impractical for electromagnetic transient studies. Therefore areas outside the immediate area of interest must be represented by some form of Frequency Dependent Network Equivalent (FDNE). In this paper a method for developing Frequency Dependent AC system Equivalent (FDACSE) using Z-domain rational Function Fitting is presented and demonstrated. The FDACSE is generated by Linearized Least Squares Fitting(LSF) of the frequency response of a Z-domain formulation. This 1 & 2 port FDACSE have been applied to the New Zealand South Island AC power system. The electromagnetic transient package PSCAD/EMTDC is used to assess the transient response of the 1 & 2 port FDACSE developed under different condition (linear load, fault and nonlinear loading). The study results have indicated the robustness and accuracy of 1 & 2 port FDACSE for electromagnetic transient studies.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.397-398
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• 2017

정보 공유를 통해 국민들은 의료 기관 및 치료방법 등을 합리적으로 선택하려고 노력하고 있다. 의료 기관의 컴퓨터와 연결 기계의 사용으로 의료 관련 데이터는 규모가 급격히 늘어났다. 이에 따라 정부 3.0에 맞춰 공개되는 의료 데이터가 확대됨에 따라 의료 빅데이터를 통해 여러 정보들을 만들어내 의료 분야에 도움이 될 것이라는 기대가 커져가고 있다. 이 연구에서는 의료 빅데이터를 어떻게 활용하여 의료 기관, 국민, 정부, 보험사 등 여러 기관에게 제공할 수 있는 지에 대해 설명한다. 현재 빅 데이터를 사용해 연령 별 잘 걸리는 질병이나 질병 별 성비를 나타내는 것 등 단순 사실을 알아내는 정도가 아니라 실질적으로 다양한 목적으로 사용될 수 있는 정보를 만들어낼 수 있는 시스템을 구축하였다는 점에서 이 연구는 강점을 갖는다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1996.10a
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• pp.29-48
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• 1996

Previous studies on user training have largely focused on assessing models which describe the determinants of information technology usage or examined theeffects of training, on user satisfaction, productivity, performance and so on. Scant research efforts have been made, however, to examine those effects of training by using theoretical models. This study presented a conceptural model to predict intention to use information technology and conducted an experimentto understand how training for computer skill acquisition affects primary variables of the model. The data were obtained from 32 student subjects of an experimental group and 31 students of a control group, and the information technology employed for this study was a university's electronic mail system. The study results revealed that attitude toward usage and perceived behavioral control helped to predict user intentions ; outcome expectations were positively related to attitude toward usage ; and self-efficacy was positively related to perceived behavioral control. Thd hands-on training for the experimental group led to increases in perceived ease of use, self-efficacy and perceived behaviroal control. The changes in those variables suggest more causal effects of user training than other survey studies.

• Journal of The Korean Radiological Technologist Association
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• v.29 no.1
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• pp.25-30
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• 2003

Purpose : The purpose of this study is to present computer-capturing method of dynamic images on fluoroscopic studies, as a substitution for video-recording method, and to help the quantitative analysis of the dynamic studies. Materials and Methods: Compu