• Industrial Engineering and Management Systems
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• 제10권1호
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• pp.54-64
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• 2011

The purpose of this study is to optimally allocate the human resources to tasks while minimizing the total daily human resource costs and smoothing the human resource usage. The human resource allocation problem (hRAP) under consideration contains two kinds of special constraints, i.e. operational precedence and skill constraints in addition to the ordinary constraints. To deal with the multiple objectives and the special constraints, first we designed this hRAP as a network problem and then proposed a Pareto multistage decisionbased genetic algorithm (P-mdGA). During the evolutionary process of P-mdGA, a Pareto evaluation procedure called generalized Pareto-based scale-independent fitness function approach is used to evaluate the solutions. Additionally, in order to improve the performance of P-mdGA, we use fuzzy logic controller for fine-tuning of genetic parameters. Finally, in order to demonstrate the applicability and to evaluate the performance of the proposed approach, P-mdGA is applied to solve a case study in a hotel, where the managers usually need helpful automatic support for effectively allocating hotel staff to hotel tasks.

• Archives of Plastic Surgery
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• 제50권3호
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• pp.254-263
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• 2023

Background The three-dimensional (3D) evaluation of skeletal stability after orthognathic surgery is a time-consuming and complex procedure. The complexity increases further when evaluating the surgery-first orthognathic approach (SFOA). Herein, we propose and validate a simple time-saving method of 3D analysis using a single software, demonstrating high accuracy and repeatability. Methods This retrospective cohort study included 12 patients with skeletal class 3 malocclusion who underwent bimaxillary surgery without any presurgical orthodontics. Computed tomography (CT)/cone-beam CT images of each patient were obtained at three different time points (preoperation [T0], immediately postoperation [T1], and 1 year after surgery [T2]) and reconstructed into 3D images. After automatic surface-based alignment of the three models based on the anterior cranial base, five easily located anatomical landmarks were defined to each model. A set of angular and linear measurements were automatically calculated and used to define the amount of movement (T1-T0) and the amount of relapse (T2-T1). To evaluate the reproducibility, two independent observers processed all the cases, One of them repeated the steps after 2 weeks to assess intraobserver variability. Intraclass correlation coefficients (ICCs) were calculated at a 95% confidence interval. Time required for evaluating each case was recorded. Results Both the intra- and interobserver variability showed high ICC values (more than 0.95) with low measurement variations (mean linear variations: 0.18 mm; mean angular variations: 0.25 degree). Time needed for the evaluation process ranged from 3 to 5 minutes. Conclusion This approach is time-saving, semiautomatic, and easy to learn and can be used to effectively evaluate stability after SFOA.

• 가정과삶의질연구
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• 제26권2호
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• pp.13-24
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• 2008

The aim of the present study was to develop a cognitive-behavioral group therapy program for social anxiety in Korean adolescents and to examine its efficacy through pre-, post- and 2-year follow-up tests. The program included cognitive restructuring, exposure training and social skills training. KSAS-A and SASC-R were administered to 588 1st grade middle-school female students to assess their social anxiety levels. On the basis of double criteria procedure(top 10% scores on both scales), 59 students were selected initially. Individuals currently receiving clinical treatment were excluded. Finally, 40 students were selected and randomly assigned to either a treatment group or a wait-list control group. The program consisted of 12 weekly sessions, approximately 1.5-2 hours in duration. Whereas pre- and post-tests were administered to both groups, follow-up tests were administered to the treatment group only. The collected data were statistically analyzed through independent t-test and paired t-test. The results of the study were as follows: 1) At post-test students in the treatment group showed a very significant reduction in social anxiety and fear of negative evaluation by others in comparison with those in the wait-list group. 2) At post-test students in the treatment group showed a significant reduction in negative automatic thoughts in comparison with those in the wait-list group. 3) At post-test students in the treatment group showed a significant improvement in overall social skills in comparison with those in the wait-list group. 4) At post-test students in the wait-list group showed a significant increase in both social anxiety and negative automatic thoughts in comparison with those in the treatment group. 5) At 3-month, 1-year and 2-year follow-ups, the program's effectiveness was maintained.

• 대한기계학회논문집
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• 제18권2호
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• pp.339-350
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• 1994

This paper presents a method for automatic generation of line balanced assembly sequences based on disassemblability and proposes a method of evaluating an assembly work time using neural networks. Since a line balancing problem in flexible assembly system requires a sophisticated planning method, reasoning about line balanced assembly sequences is an important field of concern for planning assembly lay-out. For the efficient inference of line balanced assembly sequences, many works have been reported on how to evaluate an assembly work time at each work station. However, most of them have some limitations in that they use cumbersome user query or approximated assembly work time data without considering assembly conditions. To overcome such criticism, this paper proposes a new approach to mathematically verify assembly conditions based on disassemblability. Based upon the results, we present a method of evaluating assembly work time using neural networks. The proposed method provides an effective means of solving the line balancing problem and gives a design guidance of planning assembly lay-out in flexible assembly application. An example study is given to illustrate the concepts and procedure of the proposed scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1778-1799
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• 2022

Automatic text summarization is a procedure that packs enormous content into a more limited book that incorporates significant data. Malayalam is one of the toughest languages utilized in certain areas of India, most normally in Kerala and in Lakshadweep. Natural language processing in the Malayalam language is relatively low due to the complexity of the language as well as the scarcity of available resources. In this paper, a way is proposed to deal with the text summarization process in Malayalam documents by training a model based on the Support Vector Machine classification algorithm. Different features of the text are taken into account for training the machine so that the system can output the most important data from the input text. The classifier can classify the most important, important, average, and least significant sentences into separate classes and based on this, the machine will be able to create a summary of the input document. The user can select a compression ratio so that the system will output that much fraction of the summary. The model performance is measured by using different genres of Malayalam documents as well as documents from the same domain. The model is evaluated by considering content evaluation measures precision, recall, F score, and relative utility. Obtained precision and recall value shows that the model is trustable and found to be more relevant compared to the other summarizers.

• International Journal of Control, Automation, and Systems
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• 제6권6호
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• pp.809-817
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• 2008

Program plagiarism is widespread due to intelligent software and the global Internet environment. Consequently the detection of plagiarized source code and software is becoming important especially in academic field. Though numerous studies have been reported for detecting plagiarized pairs of codes, we cannot find any profound work on understanding the underlying mechanisms of plagiarism. In this paper, we study the evolutionary process of source codes regarding that the plagiarism procedure can be considered as evolutionary steps of source codes. The final goal of our paper is to reconstruct a tree depicting the evolution process in the source code. To this end, we extend the well-known bioinformatics approach, a local alignment approach, to detect a region of similar code with an adaptive scoring matrix. The asymmetric code similarity based on the local alignment can be considered as one of the main contribution of this paper. The phylogenetic tree or evolution tree of source codes can be reconstructed using this asymmetric measure. To show the effectiveness and efficiency of the phylogeny construction algorithm, we conducted experiments with more than 100 real source codes which were obtained from East-Asia ICPC(International Collegiate Programming Contest). Our experiments showed that the proposed algorithm is quite successful in reconstructing the evolutionary direction, which enables us to identify plagiarized codes more accurately and reliably. Also, the phylogeny construction algorithm is successfully implemented on top of the plagiarism detection system of an automatic program evaluation system.

• 한국정보통신학회논문지
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• 제20권6호
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• pp.1209-1214
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• 2016

자동차 번호판 인식은 대중적인 감시 기술 중의 한 종류로서, 주어진 비디오나 영상 내 광학문자 인식을 수반한다. 번호판 인식은 자동차 번호판 국부화, 번호판의 크기, 차원, 명암대비, 밝기를 조정하는 정규화, 개별문자를 얻어내는 문자 분할, 문자를 인식하는 광학 문자 인식, 번호판의 형태, 크기, 위치 들이 연도별, 지역별로 차이가 있는 번호판들의 데이터베이스를 비교하여 구문 분석을 하는 절차를 거친다. 본 논문에서는 EmguCV를 이용하여 구현한 번호판 감지를 수행하여 위치를 찾아내고, 오픈 소스 광학 문자 인식 엔진으로 잘 알려져 있는 테서렉트 OCR을 이용하여 번호판의 문자를 인식하는 자동 인식 프로그램을 구현하고 번호판의 촬영 각도, 크기, 밝기에 대한 성능평가 결과에 관해 기술하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권10호
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• pp.4968-4986
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• 2017

In this paper, we primarily address the difficulty of automatic generation of a plausible depth map from a single image in an unstructured environment. The aim is to extrapolate a depth map with a more correct, rich, and distinct depth order, which is both quantitatively accurate as well as visually pleasing. Our technique, which is fundamentally based on a preexisting DepthTransfer algorithm, transfers depth information at the level of superpixels. This occurs within a framework that replaces a pixel basis with one of instance-based learning. A vital superpixels feature enhancing matching precision is posterior incorporation of predictive semantic labels into the depth extraction procedure. Finally, a modified Cross Bilateral Filter is leveraged to augment the final depth field. For training and evaluation, experiments were conducted using the Make3D Range Image Dataset and vividly demonstrate that this depth estimation method outperforms state-of-the-art methods for the correlation coefficient metric, mean log10 error and root mean squared error, and achieves comparable performance for the average relative error metric in both efficacy and computational efficiency. This approach can be utilized to automatically convert 2D images into stereo for 3D visualization, producing anaglyph images that are visually superior in realism and simultaneously more immersive.

• 대한공간정보학회지
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• 제10권3호
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• pp.17-27
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• 2002

항공사진자료의 데이타베이스 구축은 독취과정에서 발생하는 오차를 최소화 하기위해 항공사진전용자동독취기에 의해 적정 해상도로 독취하여야 한다. 그러나, 항공사진전용 자동독취기의 경우 매우 고가이고 보유대수 역시 많지 않아 현재 시중에 유통되고 있는 일반용 자동독취기를 사용하는 방안이 모색되고 있다. 따라서, 본 연구에서는 일반용 자동독취기를 이용하여 항공사진을 자동독취한 후 시각적 수치적 분석을 통하여 그 활용성 여부 및 한계를 평가함으로서 항공사진영상 데이터베이스의 품질확보에 기여하고자 한다. 이를 위하여 확대배율에 따른 정보의 명확성 및 자동내부표정을 통한 상좌표 정확도 분석을 수행하였으며, 수치지도제작을 위한 각 표정단계마다 수치적으로 정확도를 비교분석하였다. 또한, 최근들어 정사투영영상의 활용성이 증대됨에 따라 DEM생성 및 수치정사 투영생성단계에서 발생되는 오차를 분석하는 한편 자동독취기의 기하학적 왜곡을 검증할 수 있는 자동독취기 검증프로그램을 개발하여 적용함으로서 항공사진영상 데이터베이스의 품질 확보에 기여하고자 하였다.

• 한국인터넷방송통신학회논문지
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• 제11권4호
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• pp.75-81
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• 2011

UMTS는 이동 전화 망 구축을 위해 전 세계적으로 가장 많이 사용되는 규격이며 자동 로밍 기능도 제공한다. 사용자들은 해외에서 이동 전화를 바꿀 필요 없이 자신이 쓰던 번호 그대로 사용할 수 있다. 그러나 일부 사용자들은 자신의 원래 쓰던 번호 외에 타국의 번호도 자신의 이동전화에서 어느 국가에서나 사용하기를 원한다. 이러한 사용자들의 욕구를 충족시키기 위해 그동안 다양한 방법들이 제안되었으나 도입 비용이 너무 많거나 사용자가 이용하기 어려운 문제점들이 있었다. 본 논문에서는 이러한 서비스를 제공하기 위한 소프트웨어 프레임워크를 제안하여 하나의 IMSI를 사용하면서 여러 MSISDN을 제공할 수 있는 방법을 제안한다. 제안된 방법에서는 Roaming SCP를 도입하여 이동 전화의 위치 등록 절차와 음성 착신 절차를 개선하였다. 성능 평가에서는 제안된 방법과 관련 연구에서 제안된 단말 기반의 방법과 이동 전화망 기반의 방법을 비교하여 베어러 전송 비용을 평가하였다. 그 결과 제안된 방법이 베어러 전송 비용 측면에서 단말 기반의 방법보다 7.6%, 이동 전화망 기반의 방법보다 9.7% 우수하였다.