• Journal of Internet Computing and Services
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• v.6 no.2
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• pp.49-57
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• 2005

Connector's role between components is very important in the CBD(Component Based Development). The most connector has process ADL based rrethod was choosing FIFO method by component request. But in case many component's with various characteristics request It is difficult that this method operate efficiently, In this research, I did design and implement priority connector considering component's processing time, Also, I used Wright architecture for formal specification. Application result of proposed connector was spend more 388ms compares with existent FIFO method in total processing time. But this method could handle preferentially from components that have short processing time. Also, in case of component's waiting time in connector, existent FIFO method is 23323,1 ms and proposal method is 12731.27ms, So, proposal method could reduce waiting time for component process.

• The KIPS Transactions:PartC
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• v.11C no.1
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• pp.21-30
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• 2004

Most applications using the PKI allows a user to execute the certificate validation processing. The efficiency of user system can be declined by the user-side processing resulting the overhead and low speed of the validation processing. Therefore, in this paper, we propose a new certificate validation processing method can decrease the overhead on user by allowing CAs of the hierarchical PKI to participate in the validation processing. Therefore, our proposed scheme can not only reduce the considerable overhead caused by the user-side whole processing without a new implementation of the delegated server but also improve the time spent for the processing by the reduction of the validation processing job on user.

• Herbal Formula Science
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• v.18 no.1
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• pp.145-154
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• 2010

Objective : Licorice has been used for treating digestive disorder and also recommended as a detoxification agent. Liquiritigenin, a component of licorice, has been reported to have various biological activities. In this study, we aimed to establish the analytical method for liquiritigenin content in licorice and the processing method for the enhancement of liquiritigenin content in licorice. Methods : Processing was accomplished by roasting licorice at $250^{\circ}C$ for indicated time periods (5-20 min). Analysis of liquiritigrnin from roasted licorice was conducted using UPLC(Ultra Performance Liquid Chromatography). Results : We established UPLC method for the analysis of liquiritigenin using water : acetonitrile gradient as mobile phase. Furthermore, we standardized the processing condition of licorice to enhance liquiritigenin content using UPLC method. Processing of licorice was accomplished by roasting at $250^{\circ}C$ for indicated time periods (5-20 min) and by pretreating with 50% of acetic acid or 30% ethanol for 24 h. By roasting licorice, the liquiritigenin contents in the licorice were increased. The best roasting time of licorice was 6 min, while roasting for the time above 8 min resulted in diminishing liquiritigenin contents. Moreover, pretreatment with 50% of acetic acid or 30% ethanol picked up liquiritigenin contents in roasted licorice. Conclusion : The adequate processing condition of licorice for the enhancement of liquiritigenin contents was obtained by pretreating licorice with 50% of acetic acid or 30% ethanol for 24 h and then by roasting at $250^{\circ}C$ for 6 min.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.19-27
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• 2021

In this paper, we propose a method for detecting characters in images and detecting facial regions, which consists of two tasks. First, we separate two different characters to detect the face position of the characters in the frame. For fast detection, we use You Only Look Once (YOLO), which finds faces in the image in real time, to extract the location of the face and mark them as object detection boxes. Second, we present three image processing methods to detect accurate face area based on object detection boxes. Each method uses HSV values extracted from the region estimated by the detection figure to detect the face region of the characters, and changes the size and shape of the detection figure to compare the accuracy of each method. Each face detection method is compared and analyzed with comparative data and image processing data for reliability verification. As a result, we achieved the highest accuracy of 87% when using the split rectangular method among circular, rectangular, and split rectangular methods.

• Journal of Advanced Navigation Technology
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• v.25 no.4
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• pp.293-298
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• 2021

In general, the guided weapon seeker and the guided control device process the target, search, recognition, and capture information to indicate the state of the guided missile, and play a role in controlling the operation and control of the guided weapon. The signals required for guided weapons are gaze change rate, visual signal, and end-stage fuselage orientation signal. In order to process the complex and difficult-to-process missile signals of recent missiles in real time, it is necessary to increase the data processing speed of the missiles. This study showed the processing speed after applying the stop and go and inverse enumeration algorithm among the parallel algorithm methods of PINQ and comparing the processing speed of the signal data required for the guided missile in real time using the guided missile inspection program. Based on the derived data processing results, we propose an effective method for processing missile data when applying a parallel processing algorithm by comparing the processing speed of the multi-core processing method and the single-core processing method, and the CPU core utilization rate.

• Korea Information Processing Society Review
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• v.12 no.3
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• pp.125-129
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• 2005

• The KIPS Transactions:PartB
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• v.17B no.2
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• pp.139-148
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• 2010

This paper shows a reinforcement post-processing method and feedback algorithm for improvement of assigning method in classification. Especially, we focused on complex documents that are generally considered to be hard to classify. A basis factors in traditional classification system are training methodology, classification models and features of documents. The classification problem of the documents containing shared features and multiple meanings, should be deeply mined or analyzed than general formatted data. To address the problems of these document, we proposed a method to expand classification scheme using decision boundary detected automatically in our previous studies. The assigning method that a document simply decides to the top ranked category, is a main factor that we focus on. In this paper, we propose a post-processing method and feedback algorithm to analyze the relevance of ranked list. In experiments, we applied our post-processing method and one time feedback algorithm to complex documents. The experimental results show that our system does not need to change the classification algorithm itself to improve the accuracy and flexibility.

• The Journal of the Acoustical Society of Korea
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• v.32 no.2
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• pp.138-146
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• 2013

Passive sonars employ DEMON (Detection of Envelope Modulation on Noise) processing to extract propeller information from the radiated noise of underwater targets. Conventional DEMON processing improves SNR(Signal to Noise Ratio) characteristic by Welch method. The conventional Welch method overlaps several different time domain DEMON outputs to reduce the variance. However, the conventional methods have high computational complexity to get high SNR with correlated acoustic signals. In this paper, we propose new DEMON processing method that divides acoustic signal into several frequency bands before DEMON processing and averages each DEMON outputs. Therefore, the proposed method gathers independent acoustic signal faster than conventional method with low computational complexity. We prove the performance of the proposed method with mathematical analysis and computer simulations.

• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.76-81
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• 2015

Research on top-k query processing algorithms for analyzing big data have been spotlighted recently. However, because existing top-k query processing algorithms do not provide an efficient index structure, they incur high query processing costs and cannot support various types of queries. To solve these problems, we propose a top-k query processing algorithm using a view selection method based on a grid index. The proposed algorithm reduces the query processing time by retrieving the minimum number of grid cells for the query range, by using a grid index-based view selection method. Finally, we show from our performance analysis that the proposed scheme outperforms an existing scheme, in terms of both query processing time and query result accuracy.

• Journal of the Korean Society for Nondestructive Testing
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• v.22 no.1
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• pp.14-21
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• 2002

The development of a new experimental method is required to easily observe the growth behavior of fatigue cracks. To satisfy the requirement, an image processing technique was introduced to fatigue testing. The length of surface fatigue crack could be successfully measured by the image processing system. At first, the image data of cracks were stored into the computer while the cyclic loading was interrupted. After testing, crack length was determined using an image processing software which was developed by authors. Various image processing techniques like a block matching method was applied tc the detection of surface fatigue cracks. By comparing the data measured by the image processing system with those by the manual measurement with a microscope, the effectiveness of the image processing system was established. If the proposed method is used to monitor and observe the crack growth behavior automatically, the time and efforts for fatigue test could be dramatically reduced.