• Journal of KIISE:Software and Applications
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• v.36 no.1
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• pp.1-9
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• 2009

In heterogeneous and distributed computing environments, with an increasing number of Web services providing similar functionalities, the reliability of Web services is a critical decision factor. To fulfill the open business model such as cooperation among enterprises, several Web services can be composed into the upper level business transaction. In Web services composition, the reliability of services is more and more critical. Though each unit Web service can be reliable, the reliability of the composed service is not guaranteed. Thus a way to efficiently assess and select composed Web services is needed. In this paper, we define new metrics for measuring the trust value of Web services, and propose an evaluation method to predict the trustworthy degree of the composed services based on the metrics. We also define a conceptual framework to support optimal Web services selection based on the proposed trust evaluation method. By selecting using the quantitative measurement rather than intuitive selection of the service user, it allows the service users to select the high reliable service meeting their quality requirements well.

• Journal of Korea Spatial Information System Society
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• v.10 no.1
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• pp.15-28
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• 2008

In ubiquitous sensor networks(USN) environment, it is essential to process region query for user-demand services. Using R-tree is a preferred technique to process region query for in-network query environment. In USN environment, USN middleware must select sensors that transfers region query with accuracy because the lifetime of sensors is that of whole sensor networks. When R-tree is used, however, it blindly passes the region query including non-existent sensors where MBR(Minimum Boundary Rectangle) of R-tree is Intersected by region of query. To solve in this problem, we propose a reconstruction of region query method which is a trie-structured Quad tree in the base station that includes sensors in region of query select with accuracy. We observed that the proposed method delays response time than R-tree, but is useful for reducing communication cost and energy consumption.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.796-801
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• 2009

In medical practice, the diagnosis or prediction models requiring complicated computations are not widely recognized due to difficulty in interpreting the course of reasoning and the complexity of computations. Medical personnel have used the nomograms which are a graphical representation for numerical relationships that enables to easily compute a complicated function without help of computation machines. It has been widely paid attention in diagnosing diseases or predicting the progress of diseases. A nomogram is constructed from a set of clinical data which contain various attributes such as symptoms, lab experiment results, therapy history, progress of diseases or identification of diseases. It is of importance to select effective ones from available attributes, sometimes along with parameters accompanying the attributes. This paper introduces a nomogram construction method that uses a naive Bayesian technique to construct a nomogram as well as a genetic algorithm to select effective attributes and parameters. The proposed method has been applied to the construction of a nomogram for a real clinical data set.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.7 s.361
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• pp.81-89
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• 2007

The Viterbi decoder, which employs the maximum likelihood decoding method, is a critical component in forward error correction for digital communication system. However, lowering power consumption on the Viterbi decoder is a difficult task since the number of paths calculated equals the number of distinctive states of the decoder and the Viterbi decoder utilizes trace-back method. In this paper, we propose a method which minimizes the number of operations performed on the comparator, deployed in the SPEC-T Viterbi decoder implementation. The proposed comparator was applied to the ACSU(Add-Compare-Select Unit) and MPMSU(Minimum Path Metric Search Unit) modules on the decoder. The proposed ACS scheme and MPMS scheme shows reduced power consumption by 10.7% and 11.5% each, compared to the conventional schemes. When compared to the SPEC-T schemes, the proposed ACS and MPMS schemes show 6% and 1.5% less power consumption. In both of the above experiments, the threshold value of 26 was applied.

• The Journal of the Acoustical Society of Korea
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• v.35 no.2
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• pp.118-124
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• 2016

In this paper, contribution analysis method using a partial coherence function is dealt with in the case of underwater radiation noise. When performing the contribution analysis using a partial coherence function, it is important to select the order of system input. But in the case of frequency correlated systems, it is very difficult to properly select the order of system input. In order to solve this problem, the contribution analysis is performed by subdividing the area of contribution using multiple coherence function. And the new contribution analysis method is presented by using the relationship between the contribution characteristic matrix and multiple coherence function. In order to validate the new method, calculation is performed about multi-input / single-output model which is composed of sine waves. The result of calculation shows that it is possible to derive the exact contribution values.

• Journal of the Korea Institute of Building Construction
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• v.14 no.5
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• pp.407-413
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• 2014

Appropriate selection of lifting equipments for a high-rise building construction project is one of the important factors to the project's success. Proper position of a tower crane on a construction site is so important to be determined by an expert or an experienced construction manager who draws working range of a tower crane and moves it over 2D(dimensional) site layout plan. 3D CAD, BIM, and virtual reality are is used for building design and construction, but it is not usual to use them for temporary facility planning or selection of a tower crane. This study proposes a suitable method to use augmented reality to select proper position of tower cranes. An augmented reality prototype is implemented by Vuforia and Unity 3D on a smart device to verify the practicability of the proposed method. The prototype application installed on a smart device shows several tower cranes on different markers in a real architectural drawing to locate the proper tower crane.

• Journal of Biomedical Engineering Research
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• v.25 no.6
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• pp.455-464
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• 2004

Total hip arthroplasty(THA) considerably depends on high-experienced doctors because of high difficulty of the operation. Selection of acetabular cup's and femoral implant's position is closely related with success or failure of THA. Nevertheless the selection has usually depended on doctor's eye measurement, which makes the position accuracy of artificial joint lower after THA, often resulting in revision of THA. The present study determined a method to select accurately the position of acetabular cup and femoral implant through surgical simulation with 3D characteristic geometrical information of patient's pelvis and femur. We examined the change of femoral anteversion angle and neck-shaft angle accompanied by the change of acetabular cup's position and the insertion position of femoral implant. As result of analyzing geometrical information through different surgical simulations, we found that it was possible to select the accurate position of acetabular cup and femoral implant. It is expected to help doctors get experienced in THA operation through repetitive surgical simulations using the method suggested in the study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.486-492
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• 2019

The system-based approach is needed to select an optimal mix of weapon systems and ship platform among a variety of design alternatives with the uncertainties of the initial required operational capability. In the early-phase design, which included a feasibility study and concept design, it is possible to cause problems when a review of the operational concept, database development, and systematic design are not done, thereby producing uncertain and unstable requirements. To select the best solution without trial-and-error, the U.S. navy has applied the set-based method for the early-phase design of a new ship-to-shore connector. The ship synthesis model plays an important role in applying the set-based method, but only a few countries possess this model and have prohibited this model from being transferred to other countries. This paper suggests a set-based method using a genetic algorithm and decision-making theory through benchmarking existing ship data. The algorithm was verified using the DDG-51 class ship synthesis model to optimize the weapon system design, which has been released for research purposes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.355-363
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• 2020

In this paper, we propose a deep learning training method for accurately classifying Kuzushiji-MNIST and Kuzushiji-49 datasets for ancient and medieval Japanese characters. We analyze the latest convolutional neural network networks through experiments to select the most suitable network, and then use the networks to select the number of training to classify Kuzushiji-MNIST and Kuzushiji-49 datasets. In addition, the training is conducted with high accuracy by applying learning methods such as Mixup and Random Erase. As a result of the training, the accuracy of the proposed method can be shown to be high by 99.75% for MNIST, 99.07% for Kuzushiji-MNIST, and 97.56% for Kuzushiji-49. Through this deep learning-based technology, it is thought to provide a good research base for various researchers who study East Asian and Western history, literature, and culture.

• The Korean Journal of Emergency Medical Services
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• v.14 no.3
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• pp.29-40
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• 2010

Purpose: We investigated the motivation of selecting major, the satisfaction of major and the view on occupation of emergency medical technology (EMT) students. The results of study will be used to increase the satisfaction of major of university students. Also, it can be used to support decision of major for high school students. Method: We conducted 1,586 surveys from 665 students at six four-year colleges and 921 students at seven three-year colleges. Our research period was from Aug. 27th to Oct. 31st in 2010. The surveys were analyzed by SPSS 18.0 using description statistics, t-test, ANOVA, Scheffe and Pearson correlation coefficient. Result: In our study, the motivation of selecting major is 35.8% of students selected 'good employment prospects', satisfaction of major's $M{\pm}SD$ is $3.15{\pm}.486$, adaptation of major's $M{\pm}SD$ is $3.11{\pm}.472$. The satisfaction of major show difference (t = 4.548 p = .000) by sex, also the adaptation of major show difference (t = 2.279, p = .023) by sex. The satisfaction of major show first grade students higher (F = 3.605, p = .013) than fourth grade students at four-year colleges. If satisfaction of major is high, accumulation evaluation score is high (F = 3.276, p = .011), too. Clinical practice experienced students was higher (t = -2.878, p = .004) than non experienced it satisfaction. In view of occupation, ideal job's factors and actual job's factors a lot of students selected 'aptitude'. Also, there is a statistically significant correlation (r = .618, p = .000) between the satisfaction of major and the adaptation of major. High satisfaction indicates high adaptation of major. Conclusion: In our study satisfaction of major and adaptation of major was very high score. EMT students concern about employment prospects at most. It is inferred that they select job which match with one's aptitude. We can suppose that students select major as a tool for employment by seeing result that a lot of students consider employment prospects at most when they select major. A method to improve the satisfaction and adaptation of major should be developed by realizing problems which occur the dissatisfaction of major. Also, there as on why students conflict between ideal and actual job should be revealed. There as on seems students want stable occupation in unstable job market situation. Therefore, the expansion of job matching aptitude and being stable should be processed. Finally, university should actively support the method that help to finding jobs for student by identifying job preparation of students.