• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.193-201
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• 2020

In this study, we developed a simulation app that performs the Test-and-Set algorithm. The test-and-set algorithm is a highly difficult algorithm, so this simulation app was created for learners who have difficulty understanding it. Learners who want to understand the Test-and-Set algorithm gather to form a team, and use this simulation app to discuss and practice, and these teams can practice at the same time. The test-and-set, which is assumed to be a machine language, is not interrupted by using a queue, and it can be seen that the configured simulation app performs well in all three conditions of 'mutual exclusion', 'progress', and 'bounded waiting' that must be solved in the critical area problem.

• Journal of the Korean Institute of Telematics and Electronics
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• v.17 no.4
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• pp.31-37
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• 1980

In this paper, we are concerned with the problems of fault- detection for combinational logic networks. The method which we can obtain the complete test sets using propagation of primitive test sets is presented by considering the relation between test sets of each line. A new method is proposed that can detect the fault through the observation of the output variance by applying only the test sets equivalent to the number of inputs We found that the method is much improved compared to the conventional fault detecting procedure that requires applying the complete test sets to the logic networks.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.549-555
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• 2021

Machine Learning(ML) splits data into 3 parts, which are usually 60% for training, 20% for validation, and 20% for testing. It just splits quantitatively instead of selecting each set of data by a criterion, which is very important concept for the adequacy of test data. ML measures a model's accuracy by applying a set of validation data, and revises the model until the validation accuracy reaches on a certain level. After the validation process, the complete model is tested with the set of test data, which are not seen by the model yet. If the set of test data covers the model's attributes well, the test accuracy will be close to the validation accuracy of the model. To make sure that ML's set of test data works adequately, we design an experiment and see if the test accuracy of model is always close to its validation adequacy as expected. The experiment builds 100 different SVM models for each of six data sets published in UCI ML repository. From the test accuracy and its validation accuracy of 600 cases, we find some unexpected cases, where the test accuracy is very different from its validation accuracy. Consequently, it is not always true that ML's set of test data is adequate to assure a model's quality.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.535-543
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• 2003

A ranked set sample version of the sign test is proposed for testing hypotheses concerning the quantiles of a population characteristic by Kaur, et. al(2002). In this paper, we proposed the ranked set sample Wilcoxon signed rank test for quantiles under equal allocation. We obtain the asymptotic property and the asymptotic relative efficiencies of the proposed test statistic with respect to Wilcoxon signed rank test of simple random sample for quantiles under equal allocation. We calculate the ARE of test statistics, the proposed test statistic is more efficient than simple random sampling for all quantiles. The relative advantage of ranked set sampling is greatest at the median and tapers off in the tails.

• Communications for Statistical Applications and Methods
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• v.15 no.6
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• pp.947-957
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• 2008

In this paper, we consider the c-sample location problem for ordered alternatives using median ranked ordering-set samples(MROSS). We propose the test statistic using the median of samples that have the same ranked order in each cycle of ranted ordering-set sample(ROSS). We obtain the asymptotic property of the proposed test statistic and Pitman efficiency with respect to other test statistic. In simulation study, our proposed test statistic has good powers for some underlying distributions we consider.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.37-47
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• 2021

In this paper, we propose a new deep learning model for tongue segmentation with improved accuracy compared to the existing model by diversifying the receptive field in the U-net. Methods such as parallel convolution, dilated convolution, and constant channel increase were used to diversify the receptive field. For the proposed deep learning model, a tongue region segmentation experiment was performed on two test datasets. The training image and the test image are similar in TestSet1 and they are not in TestSet2. Experimental results show that segmentation performance improved as the receptive field was diversified. The mIoU value of the proposed method was 98.14% for TestSet1 and 91.90% for TestSet2 which was higher than the result of existing models such as U-net, DeepTongue, and TongueNet.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.30A no.2
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• pp.63-75
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• 1993

As the CMOS technology becomes the most dominant circuit realization method, the cost problem for the test which includes both the transistor-level FET stuck-on and stuck-off faults and the gatelevel stuck-at faults becomes more and more serious. In accordance, this paper proposes a test set and its generation algorithm, which handles both the transistor-level faults and the gate-level faults, thus can unify the test steps during the IC design and fabrication procedure. This algorithm uses only the logic equation of the given logic function as the input resource without referring the transistor of gate circuit. Also, the resultant test set from this algorithm can improve in both the complexity of the generation algorithm and the time to apply the test as well as unify the test steps in comparing the existing methods.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.41-45
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• 2002

From the paper which it sees a strong random number generator it uses a fuzzy set from 16 method of the statistical test which is a cryptograph random number test it verifies. 16 statistical test of NIST extends in crptograph and engineering whole it is a scale which is important distinguishes the distinction incapable characterstic of the random numbers which are used. To try introduce a fuzzy set the possibility of having a more strong randomness in order to be, it strengthens the function of the random number generator.

• Proceedings of the KSRS Conference
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• v.1
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• pp.208-211
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• 2006

The contents of RF test set which can be used for checking the function and performance of 13m antenna installed in KARI site are described in this paper. For the purpose of considering RF test set as the transceiver in COMS, it is designed to retransmit the LRIT and HRIT in L-Band after receiving them in S-Band from 13m antenna. Additionally, this set has a function to turnaround raging tone used for the measurement of distance between satellite and 13m antenna. The required all equipments of RF test set are summarized with configuration. Measurements of several equipments which have already been delivered are described in this paper. The assembled RF test set will be used for the verification of 13m antenna

• Fashion & Textile Research Journal
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• v.21 no.2
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• pp.163-170
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• 2019

This study utilized the wearing test of subjects and a preference survey to determine wearing preference on types of blouses according to shoulder angle. The shoulder angles of the subjects were set as average shoulder, slopping shoulder, and square shoulder. The blouse sleeves were set as set-in, raglan, and kimono according to five domestic clothing construction books. A total of 15 blouses were made and tested by different bodices and sleeve types. The wearing test of subjects had the human subjects evaluate the appearance of the subject looking at the mirror while standing as well as evaluated the sensation test while not looking at the mirror. The preference survey was given to 100 females and was conducted using photos with combinations of three types of sleeves and shoulder angles in a survey under the same conditions. The average shoulder showed that set-in with the highest score in the wearing test was also preferred in the preference survey. The slopping shoulder evaluated the highest score in the wearing test by mirror; however, the preference survey showed that raglan was the most preferred choice. The squared shoulder showed that raglan with a high score in the wearing test by mirror was also preferred in the preference survey.