• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.12
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• pp.793-798
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• 2004

In this paper, the problem of adaptively identifying time-varying nonlinear systems is considered. For that purpose, the discrete time-varying Volterra series is employed as a system model, and the filtered weighted least squares (FWLS) algorithm, developed for adaptive identification of linear time-varying systems, is utilized for the adaptive identification of time-varying quadratic Volterra systems. To demonstrate the performance of the proposed approach, some simulation results are provided. Note that the FWLS algorithm, decomposing the conventional weighted basis function (WBF) algorithm into a cascade of two (i.e., estimation and filtering) procedures, leads to fast parameter tracking with low computational burden, and the proposed approach can be easily extended to the adaptive identification of time-varying higher-order Volterra systems.

• Bulletin of the Korean Chemical Society
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• v.30 no.9
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• pp.2141-2144
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• 2009

• Journal of Navigation and Port Research
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• v.33 no.4
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• pp.283-288
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• 2009

To improve maritime security and enhance international shipping commerce within US ports in addition to ISPS (International Ship and Port Facility Security Code), the TWIC (Transportation Worker Identification Credential) program is working on the maritime field from the October 15, 2008 in the United States. In this paper, the program is reviewed and investigated in terms of goal, benefit, solution, and related legislation so forth In addition, other maritime security programs including MMD (Merchant Mariner Document), FAST (Free and Secure Trade), SIDA (Security Identification Display Areas). and Air Cargo security program was analyzed and compared in order to obtain relationship and difference with the program in terms of enrollment frequency, list and method of security check, and profile of each program As a result of this paper, the program is mostly to improve maritime security, protect individual privacy, and enhance commerce rather than other programs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.9C
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• pp.922-928
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• 2007

This paper presents the fast adaptive algorithm which applies an approximation scheme into RLS algorithm. The proposed algorithm(D-RLS) derives a QRD RLS algorithm derivation process from RLS algorithm recursively. D-RLS has the similar pattern as the algorithm having the approximation that input signals are separated respectively. Computational complexity of D-RLS is O(N), fewer than $O(N^2)$. To evaluate performance of proposed algorithm, we use the system identification method of FIR and Volterra system. And, finally, we can show D-RLS has an excellent performance.

• Journal of environmental and Sanitary engineering
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• v.20 no.1 s.55
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• pp.23-31
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• 2005

On the purpose of epidemiological survey relate to food poisoning, a total of 114 samples of different salads collected from fast food Restaurants in Gyeonggi-do were for the presence of pathogenic microorganisms. Microbial assessment of salads revealed that TPC($1.1\times10\;\~\;8.4\times10^{5}\;CFU/g$) and coliforms($0\~5.4\times10^{4}\;CFU/g$) exceeded the standards by Solberg et al. ($TPC:10^{5}\;CFU/g,\;coliforms:10^{2}\;CFU/g$). Two pathogenic bacteria were isolated from salad samples, and identified by biochemical methods, including API identification systems. Isolates from PALCAM agar and MYP agar media were in 98.6, $99.8\%$ agreements with Listeria monocytogenes, Bacillus cereus at the species level, respectively. All 7 strains of Bacillus cereus isolates produced enterotoxin as revealed with CRET-RPLA.

• Journal of Electrical Engineering and Technology
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• v.4 no.1
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• pp.28-34
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• 2009

In a Gas Insulated Substation (GIS), Very Fast Transients (VFTs) are generated mainly due to switching operations. These transients may cause internal faults, i.e., layer-to-layer faults in a capacitively graded bushing as it is one of the most important terminal equipment for GIS. The healthiness of the bushing is generally verified by measuring its leakage current. However, the change in current magnitude/pattern is only marginal for different types of fault conditions. Leakage current monitoring (LCM) systems generate large amounts of data and computer aided interpretation of defects may be of great assistance when analyzing this data. In view of the above, ANN techniques have been used in this study for identification of these minor faults. A single layer perceptron network, a two layer feed-forward back propagation network and cascade correlation (CC) network models are used to identify interlayer faults in the bushing. The effectiveness of the CC network over perceptron and back propagation networks in identification of a fault has been analysed as part of the paper.

• Research in Plant Disease
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• v.29 no.2
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• pp.130-136
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• 2023

Citrus melanoses caused by Diaporthe citri, has been one of the serious diseases in many citrus orchards of Jeju Island. To protect melanose in citrus farms, a fast and exact diagnosis method is necessary. In this study, diseased leaves and dieback twigs were collected from a total of 49 farms within March to April in 2022. A total of 465 fungal isolates were obtained from a total of 358 isolated plant samples. Among these fungal isolates, 40 representatives of D. citri isolates which were isolated from 22 twigs and 18 leaves on 23 farms were found based on cultural characteristics on potato dextrose agar and conidial morphology. Additionally, the molecular assay was carried out and compared with those by morphological diagnosis. All isolates were identified as D. citri by analyzing the sequences at the internal transcribed spacer (ITS) rDNA region using primers of ITS1/ITS4 or at β-tubulin using primer Btdcitri-F/R. Therefore, based on the present study, where the results of morphological identification of conidial type were consistent with DNA sequence analysis of certain gene, choosing a suitable method for a fast diagnosis of citrus melanose was suggested.

• Culinary science and hospitality research
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• v.22 no.3
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• pp.166-182
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• 2016

This study intended to verify the impact of non-verbal communication of servers in the service industry on the affective path among customer's positive emotion, self-identification, and loyalty(behavioral and attitudinal loyalty). The data of 397 customers of typical fast food restaurants in Busan and Gyeongsangbuk-do area were analyzed with SPSS and AMOS, and the hypotheses were verified through structural equation model after frequency analysis, as well as exploratory and confirmatory factor analysis. According to the empirical analysis, all three components of server non-verbal communication in the service industry, body language, pseudo language, and body appearance, in respective order, had positive (+) influences on the positive emotion of customers. In addition, customer emotion had a positive (+) influence on brand self-identification. Finally, self-identification had a positive (+) influence on behavior loyalty and attitudinal loyalty. This study suggested practical implications and logical implications in the course of developing emotional loyalty for restaurant companies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.11C
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• pp.1527-1540
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• 2004

In this paper, velocity measurement of fast moving object for traffic information acquisition using line sampling of image is proposed. Velocity measurement for traffic information acquisition of moving object is that the first sample line and second sample line on the road is set, then car is detected by using difference image method between time-variance hue data of image when car is passing two sample lines and hue data of the reference image, and velocity of the car is measured by using frame number of video which is occupied by two sample lines. Identification of the car is performed by hue of the detected car between the first sample line and second sample line, respectively To examine the propriety of the proposed algorithm, identification and velocity measurement for driving car is evaluated. The evaluated results is that it is identified by hue data of car passing two sample lines, and the velocity measurement for driving car is less than 3% comparing with X-band speed gun.

• Journal of the Korea Society of Computer and Information
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• v.22 no.2
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• pp.1-7
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• 2017

Recently, NAND flash memory, which is used as a storage medium, is replacing HDD (Hard Disk Drive) at a high speed due to various advantages such as fast access speed, low power, and easy portability. In order to apply NAND flash memory to a computer system, a Flash Translation Layer (FTL) is indispensably required. FTL provides a number of features such as address mapping, garbage collection, wear leveling, and hot data identification. In particular, hot data identification is an algorithm that identifies specific pages where data updates frequently occur. Hot data identification helps to improve overall performance by identifying and managing hot data separately. MHF (Multi hash framework) technique, known as hot data identification technique, records the number of write operations in memory. The recorded value is evaluated and judged as hot data. However, the method of counting the number of times in a write request is not enough to judge a page as a hot data page. In this paper, we propose hot data identification which considers not only the number of write requests but also the persistence of write requests.