• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.6
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• pp.191-196
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• 2004

The measurement method is proposed for performance-evaluation of bus system in this paper. The cycle tin in manufacturing system that sensor and actuator play on the role is important factor for performance-evaluation. In order to measure cycle time, proposed method is based on simple algorithm. But it must consider delay elements in PLC and it's peripheral. The test of the cycle time is divided into the best case and the worst case and parameters are set corresponding to two cases for the improvement of measurement result It is shown that the proposed method is efficient by measuring the cycle time of the fieldbus basing on the mathematics model. As a result, due to simplicity and convenience of proposed method, the engineering cost and time demanding for test of cycling time can much reduce.

• Journal of the Korean Regional Science Association
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• v.15 no.1
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• pp.1-22
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• 1999

It is widely known that optimal control techniques are useful to measure the performance of macroeconomic policy. This paper examines how the method could be applies them to the evaluation of the public investment expenditures conducted by the local government of Choongbook Province in Korea. The numerical example illustrates the usefulness of the methods for the evaluation of the regional economic policies suggesting the main findings as follows: (1) If the local government of Choongbook Province had increased the public investment expenditures allowing the budget deficits for the first three to four years during the period between 1985 and 1990, its GRDP would have early risen to the ratio of more than three percent of Korea's total GDP. (2) The additonal welfare losses incurred by not following the optimal policy were 0.191 in 1986, 0.607 in 1987, 1.585 in 1988, and 0.132 in 1989, indicating that the public investment policy proves to be the best in 1989 and the worst in 1988.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.60-70
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• 2021

In this paper we study the problem of implementation of security issues of blue tooth, especially secure simple pairing, with the help of an efficient four user authenticated key (4UAK) for an elliptic curve cryptography (ECC). This paper also deals with the design, implement and performance evaluation of secure simple pairing (SSP) using an elliptic curve cryptography, such as Diffie Hellman protocol when four users are involved. Here, we also compute the best, worst and average case step counts (time complexities). This work puts forth an efficient way of providing security in blue tooth. The time complexity of O(n⁴) is achieved using Rabin Miller Primality methodology. The method also reduces the calculation price and light communication loads.

• Journal of Korean Medical classics
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• v.32 no.3
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• pp.47-57
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• 2019

Objectives : We aim to assist in choosing an appropriate method for word extraction when analyzing East Asian Traditional Medical texts based on unsupervised learning. Methods : In order to assign ranks to substrings, we conducted a test using one method(BE:Branching Entropy) for exterior boundary value, three methods(CS:cohesion score, TS:t-score, SL:simple-ll) for interior boundary value, and six methods(BExSL, BExTS, BExCS, CSxTS, CSxSL, TSxSL) from combining them. Results : When Miss Rate(MR) was used as the criterion, the error was minimal when the TS and SL were used together, while the error was maximum when CS was used alone. When number of segmented texts was applied as weight value, the results were the best in the case of SL, and the worst in the case of BE alone. Conclusions : Unsupervised-Learning-Based Word Extraction is a method that can be used to analyze texts without a prepared set of vocabulary data. When using this method, SL or the combination of SL and TS could be considered primarily.

• New & Renewable Energy
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• v.16 no.1
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• pp.15-24
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• 2020

For mechanical load testing of wind turbines, capture matrix is constructed for various range of wind speeds according to the international standard IEC 61400-13. The conventional method wastes considerable amount of data by its invalid data policy -segment data into 10 minutes then remove invalid ones. Previously, we have suggested an alternative way to save the total amount of data to build a capture matrix, but the efficient selection of data has been still under question. The paper introduces optimization algorithms to construct capture matrix with less data. Heuristic algorithm (simple stacking and lowest frequency first), population method (particle swarm optimization) and Q-Learning accompanied with epsilon-greedy exploration are compared. All algorithms show better performance than the conventional way, where the distribution of enhancement was quite diverse. Among the algorithms, the best performance was achieved by heuristic method (lowest frequency first), and similarly by particle swarm optimization: Approximately 28% of data reduction in average and more than 40% in maximum. On the other hand, unexpectedly, the worst performance was achieved by Q-Learning, which was a promising candidate at the beginning. This study is helpful for not only wind turbine evaluation particularly the viewpoint of cost, but also understanding nature of wind speed data.

• Journal of Power Electronics
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• v.16 no.3
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• pp.1087-1096
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• 2016

This paper reports an investigation conducted on two diagnostic methods based on the switching voltage pattern of IGBT open-circuit faults in voltage-source inverters (VSIs). One method was based on the bridge arm pole voltage, and the other was based on bridge arm line voltage. With an additional simple circuit, these two diagnostic methods detected and effectively identified single and multiple open-circuit faults of inverter IGBTs. A comparison of the times for the diagnosis and anti-interference features between these two methods is presented. The diagnostic time of both methods was less than 280ns in the best case. The diagnostic time for the method based on the bridge arm pole voltage was less than that of the method based on the bridge arm line voltage and was 1/2 of the fundamental period in the worst case. An experimental study was carried out to show the effectiveness of and the differences between these two methods.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.5
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• pp.800-805
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• 2013

Incremental forming of sheet metal is a modern method of forming sheet metal, where parts can be formed without the use of dedicated dies. Existing experimental configurations for incremental forming can be broadly classified into two categories, i.e., negative and positive forming. In this paper, forming qualities such as shape accuracy and surface roughness of Al 1050 material were discussed for different forming methods. The formed and the corresponding opposing surfaces were measured with a three-dimensional scanner and a surface roughness tester. It was found that in terms of shape accuracy, the best opposing surface was obtained with positive forming, whereas the worst formed surface was obtained with negative forming; furthermore, the opposing surface is always better than the formed surface, regardless of the forming method used.

• Human Ecology Research
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• v.54 no.3
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• pp.279-292
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• 2016

This research predicted the fit of the basic bodice patterns worn on adolescent girls' 3-dimensional scanned bodies. Six 3-dimensional scanned bodies were selected from the sixth Size Korea data. Each of them had good body posture and represented one of the three garment sizes: 79-160, 82-160, and 85-160. Experimental basic bodice patterns were drafted by three basic bodice pattern making methods. The fit of the basic bodice pattern was analyzed by the CLO 3D virtual clothing system. The results showed that the experimental basic bodice patterns did not fit well at the neck, shoulder, and back for adolescent girls. The fit of the basic bodice patterns varied by pattern making method or size. The basic bodice pattern A with the waist darts ending above the breast line showed the best fit among the three different types of experimental pattern. Among the three sizes 79-160, 82-160, and 85-120, size 79-160 basic bodice pattern showed the worst fit for adolescent girls. The results show that the placement and size of the bodice darts affect the basic bodice pattern fit. The basic bodice pattern making method of size 79-160 for adolescent girls should be studied in a future study.

• Journal of KIISE:Computer Systems and Theory
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• v.27 no.6
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• pp.549-557
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• 2000

Distributed Memory Machine(DMM) is necessary for the effective computation of the data which is complicated and very large. Task scheduling is a method that reduces the communication time among tasks to reduce the total execution time of application program and is very important for the improvement of DMM. Task Duplicated based Scheduling(TDS) method improves execution time by reducing communication time of tasks. It uses clustering method which schedules tasks of the large communication time on the same processor. But there is a problem that cannot optimize communication time between task sending data and task receiving data. Hence, this paper proposes a new method which solves the above problem in TDS. Modified Task Duplicated based Scheduling(MTDS) method which can approximately optimize the communication time between task sending data and task receiving data by checking the optimal condition, resulted in the minimization of task execution time by reducing the communication time among tasks. Also system modeling shows that task execution time of MTDS is about 70% faster than that of TDS in the best case and the same as the result of TDS in the worst case. It proves that MTDS method is better than TDS method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.171-176
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• 2020

Reinforcement learning is a well-known method for training an artificial software agent for a video game. Even though many reinforcement learning algorithms have been proposed, their performance was varies depending on an application area. This paper compares the performance of the algorithms when we train our reinforcement learning agent for a 2D racing game. We defined performance metrics to analyze the results and plotted them into various graphs. As a result, we found ACER (Actor Critic with Experience Replay) achieved the best rewards than other algorithms. There was 157% gap between ACER and the worst algorithm.