• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.1-14
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• 2024

Time-series forecasting is extensively used in the actual world. Recent research has shown that Transformers with a self-attention mechanism at their core exhibit better performance when dealing with such problems. However, most of the existing Transformer models used for time series prediction use the traditional encoder-decoder architecture, which is complex and leads to low model processing efficiency, thus limiting the ability to mine deep time dependencies by increasing model depth. Secondly, the secondary computational complexity of the self-attention mechanism also increases computational overhead and reduces processing efficiency. To address these issues, the paper designs an efficient multi-layer attention-based time-series forecasting model. This model has the following characteristics: (i) It abandons the traditional encoder-decoder based Transformer architecture and constructs a time series prediction model based on multi-layer attention mechanism, improving the model's ability to mine deep time dependencies. (ii) A cross attention module based on cross attention mechanism was designed to enhance information exchange between historical and predictive sequences. (iii) Applying a recently proposed sparse attention mechanism to our model reduces computational overhead and improves processing efficiency. Experiments on multiple datasets have shown that our model can significantly increase the performance of current advanced Transformer methods in time series forecasting, including LogTrans, Reformer, and Informer.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.1
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• pp.79-90
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• 2017

If digital forensic investigators can utilize file access logs when they audit insider information leakage cases or incident cases, it would be helpful to understand user's behaviors more clearly. There are many known artifacts related to file access in MS Windows. But each of the artifacts often lacks critical information, and they are usually not preserved for enough time. So it is hard to track down what has happened in a real case. In this thesis, I suggest a method to utilize SACL(System Access Control List) which is one of the audit functions provided by MS Windows. By applying this method of strengthening the Windows's audit settings, even small organizations that cannot adopt security solutions can build better environment for conducting digital forensic when an incident occurs.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.84-99
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• 2011

As the integrated and large-scale information is extended due to an advanced information system, a possibility of leaking out privacy increases as the time passes by. As a result, the necessity of using a privacy impact assessment (PIA) is emphasized because it can analyze and minimize the element of invasion of privacy. However, an essential audit for personal information protection is not fulfilled because most of the information system audit supervises over physical, managerial, and technical security items of system architecture area so that general items are the only things being checked. Consequently, this paper proposes that in order to minimize the invasion of personal information, the privacy impact assessment should be done. It also presents a procedure and method of personal information protection audit according to the result of the assessment. After applying the suggested method to two projects, it was confirmed that the improvements for protecting personal information were drawn from this paper.

• Safety and Health at Work
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• v.11 no.1
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• pp.10-18
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• 2020

Background: The elevated risk of occupational infection such as tuberculosis among health workers in many countries raises the question of whether the quality of occupational health and safety (OHS) and infection prevention and control (IPC) can be improved by auditing. The objectives of this study were to measure (1) audited compliance of primary health-care facilities in South Africa with national standards for OHS and IPC, (2) change in compliance at reaudit three years after baseline, and (3) the inter-rater reliability of the audit. Methods: The study analyzed audits of 60 primary health-care facilities in the Western Cape Province of South Africa. Baseline external audits in the time period 2011-2012 were compared with follow-up internal audits in 2014-2015. Audits at 25 facilities that had both internal and external audits conducted in 2014/2015 were used to measure reliability. Results: At baseline, 25% of 60 facilities were "noncompliant" (audit score<50%), 48% "conditionally compliant" (score >50 < 80%), and only 27% "compliant" (score >80%). Overall, there was no significant improvement in compliance three years after baseline. Percentage agreement on specific items between internal and external audits ranged from 28% to 92% and kappa from -0.8 to 0.41 (poor to moderate). Conclusion: Low baseline compliance with OHS-IPC measures and lack of improvement over three years reflect the difficulties of quality improvement in these domains. Low inter-rater reliability of the audit instrument undermines the audit process. Evidence-based investment of effort is required if repeat auditing is to contribute to occupational risk reduction for health workers.

• Information Systems Review
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• v.10 no.3
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• pp.155-183
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• 2008

Current trend of audit is to check the physical aspects of developed information system, such as checking the budget constraints, time constraints or functional fluency etc. However, ultimate goal of information system is to help the organization to achieve the competency over their competitors. Also, there are three different interest groups in system auditing, like audit requesting group, audited group and audit group, who may have different points of interests in auditing. Current auditing process, however, ignores this point, and so does not check the differences between three groups. This study tries to develop new auditing method to cure these two problems. Contributions of this study may be summarized as follows. First, Introduce the new indexes that can check the possibility that the information system may contribute the competency of organization. Also check the feasibility of indexes through Fuzzy AHP. Second, Divide the audit related person into three groups, and their different needs toward the information system was analyzed. Third, Analyze and compare the main interests of three groups, and weights of each groups to each indexes were calculated. Fourth, Fuzzy theory was applied to quantify the qualitative answers, which may minimize the ambiguity of questionnaire replies.

• The Journal of Korean Academy of Sensory Integration
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• v.13 no.1
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• pp.57-66
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• 2015

Objective : The purpose of this study was to investigate the effect of a time management program on self-efficacy and drinking-habit of college student with problematic drinking. Methods : Thirty subjects with problematic drinking were randomly assigned to either a experimental group or control group. The intervention applied to the experimental group was a time manage program which was consisted of two times of sessions per week and provided for five weeks. There was no specific intervention applied to the control group. Alcohol Use Disorder Identification Test-Korean (AUDIT-K) was used to measure problematic drinking behaviors and Self-Efficacy Test was used to evaluate self-efficacy of the subjects. Results : Experimental group showed a significant improvement in AUDIT-K after intervention between groups. In change scores within group, experimental group showed a significant improvement in both AUDIT-K and Self-Efficacy Test, and control group showed a significant improvement in AUDIT-K only. Conclusion : The result of this study showed that time management program is an effective method for college student with problematic drinking.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.123-131
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• 2016

Process mining in big data environment utilize a number of data were generated from the business process. It generates lots of knowledge and insights regarding implementation and improvement of the process through the event log of the company's enterprise resource planning (ERP) system. In recent years, various research activities engaged with the audit work of company organizations are trying actively by using the maximum strength of the mining process. However, domestic studies on applicable sales auditing system for the process mining are insufficient under big data environment. Therefore, we propose process-mining methods that can be optimally applied to online and traditional auditing system. In advance, we propose continuous monitoring information system that can early detect and prevent the risk under the big data environment by monitoring risk factors in the organizations of enterprise. The scope of the research of this paper is to design a pre-verification system for risk factor via practical examples in sales auditing. Furthermore, realizations of preventive audit, continuous monitoring for high risk, reduction of fraud, and timely action for violation of rules are enhanced by proposed sales auditing system. According to the simulation results, avoidance of financial risks, reduction of audit period, and improvement of audit quality are represented.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.597-606
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• 2001

In this paper, we propose the delay sensitive traffic and a high bandwidth QoS service in order to supply real-time traffic such as VoIP, multimedia service. We use IntServ over DiffServ network to supply end-to-end QoS service in the IETF. We define the proposed QoS services which are Best, Good, Default service. We analyze the performance using NS simulator with end to end QoS service in IntServ over DiffServ network. The proposed billing system uses the Accounting, Authentication, Authorization (AAA) functions of RADIUS protocol and proposes the dynamic pricing method according to network usage state using end-to-end QoS of IntServ over DiffServ network. In order to secure billing system, we design and implement audit trail system by the IEEE POSIX.1E standard.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.2991-3007
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• 2022

Two dimensional locality preserving projections (2D-LPP) is an improved algorithm of 2D image to solve the small sample size (SSS) problems which locality preserving projections (LPP) meets. It's able to find the low dimension manifold mapping that not only preserves local information but also detects manifold embedded in original data spaces. However, 2D-LPP is simple and elegant. So, inspired by the comparison experiments between two dimensional linear discriminant analysis (2D-LDA) and linear discriminant analysis (LDA) which indicated that matrix based methods don't always perform better even when training samples are limited, we surmise 2D-LPP may meet the same limitation as 2D-LDA and propose a novel matrix exponential method to enhance the performance of 2D-LPP. 2D-MELPP is equivalent to employing distance diffusion mapping to transform original images into a new space, and margins between labels are broadened, which is beneficial for solving classification problems. Nonetheless, the computational time complexity of 2D-MELPP is extremely high. In this paper, we replace some of matrix multiplications with multiple multiplications to save the memory cost and provide an efficient way for solving 2D-MELPP. We test it on public databases: random 3D data set, ORL, AR face database and Polyu Palmprint database and compare it with other 2D methods like 2D-LDA, 2D-LPP and 1D methods like LPP and exponential locality preserving projections (ELPP), finding it outperforms than others in recognition accuracy. We also compare different dimensions of projection vector and record the cost time on the ORL, AR face database and Polyu Palmprint database. The experiment results above proves that our advanced algorithm has a better performance on 3 independent public databases.

• Korean Journal of Digital Imaging in Medicine
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• v.10 no.2
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• pp.17-22
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• 2008

It is to improve customer satisfaction measurement and CT Scan process without delay of examination time when is using Scan positioning time(Planning time) that time is happened always between research reactor CT examination to increase fear and examination satisfaction by the customer's comprehension tribe which get the latest contrast enhancement CT examination. Needs and interests that customer wants to compose visual and auditory Contents to be played to Scan positioning time did questionnaire about curiosity later before CT examination to 600 people for October - November 2 months of 2006 to customer whole that get CT examination on source. Data getting through questionnaire investigated examination comprehension and satisfaction through questionnaire after experiment Scan Positioning to 500 coming to help customers to be source CT examination for 3 months February December - 2007 year in 2006 manufacturing Voice and Visual announce media for reference. To customer who interest degree appeared, and answers preparatory audit from preparatory audit about curiosity of CT examination customer to order of examination time required(43%), contrast media side effect(26%), examination region(20%), breath(10%), etc..(1.5%) audio-visual materials in questionnaire that attain after do reclamation among examination age, sex, reception type of irrelatively in 91% of target increase of hailing degree and examination satisfaction appear. Searched that customer hailing and satisfaction are increased greatly when use of audio-visual materials in satisfaction result that use CT Positioning delay time. In experiment process, It took lacking part by method that use hearing in case of do not use sight as is unavoidable in subject position or old age. Through this, audio-visual materials could analogize that it is more useful method that use sight and hearing at the same time.