• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.05a
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• pp.65-68
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• 2001

RBFN has some problem that because the basis function isnt orthogonal to each others the number of used basis function goes to big. In this reason, the Wavelet Neural Network which uses the orthogonal basis function in the hidden node appears. In this paper, we propose the composition method of the actual function in hidden layer with the scaling function which can represent the region by which the several wavelet can be represented. In this method, we can decrease the size of the network with the pure several wavelet function. In addition to, when we determine the parameters of the scaling function we can process rough approximation and then the network becomes more stable. The other wavelets can be determined by the global solutions which is suitable for the suggested problem using the genetic algorithm and also, we use the back-propagation algorithm in the learning of the weights. In this step, we approximate the target function with fine tuning level. The complex neural network suggested in this paper is a new structure and important simultaneously in the point of handling the determination problem in the wavelet initialization.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.3
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• pp.166-171
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• 2009

In recent years, video detection systems have been implemented in various infrastructures such as airport, public transportation, power generation system, water dam and so on. Recognizing moving objects in video sequence is an important problem in computer vision, with applications in several fields, such as video surveillance and target tracking. Segmentation and tracking of multiple vehicles in crowded situations is made difficult by inter-object occlusion. In the system described in this paper, the mean shift algorithm is firstly used to filter and segment a color vehicle image in order to get candidate regions. These candidate regions are then analyzed and classified in order to decide whether a candidate region contains a license plate or not. And then some characters in the license plate is recognized by using the fuzzy ARTMAP neural network, which is a relatively new architecture of the neural network family and has the capability to learn incrementally unlike the conventional BP network. We finally design a license plate recognition system using the mean shift algorithm and fuzzy ARTMAP neural network and show its performance via some computer simulations.

• Journal of the Korean Society of Safety
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• v.29 no.3
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• pp.91-97
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• 2014

This study aims to suggest a measure to reduce industrial accident and secure adaptation to the industrial safety regulation policies by empirically establishing the effects of stress from adaptation to the industrial safety regulation on the human error, one of direct causes of industrial accident to the target groups of the industrial safety regulation policies. This study as for content range examines the stress from adaptation to the industrial safety regulation, job satisfaction, human error, and as for spatial range, this study performed an empirical research on the workers of 24 companies located within Chungcheong region centers district among 153 companies nationwide that uses 7 chemicals by introducing PSM (process safety management) system of the Ministry of Employment & Labor as of January 2012. Based on these results and suggestions there are five(5) necessities to reduce industrial safety regulations adaptation stress and human error generation, first(1st) is the necessity of understanding influential factors to stress, second(2nd) is the necessity to customized vocational training, third(3rd) is improving enhance system of job satisfaction, forth(4th) is preparing stress-reduction program, and fifth(5th) is introducing on-site restrictive action of advanced country as politics items.

• BMB Reports
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• v.41 no.11
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• pp.771-777
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• 2008

Calmodulin (CaM) proteins, members of the EF-hand family of $Ca^{2+}$-binding proteins, represent important relays in plant calcium signals. Here, OsCam1-1 was isolated by PCR amplification from the rice genome. The gene contains an ORF of 450 base pairs with a single intron at the same position found in other plant Cam genes. A promoter region with a TATA box at position-26 was predicted and fused to a gus reporter gene, and this construct was used to produce transgenic rice by Agrobacterium-mediated transformation. GUS activity was observed in all organs examined and throughout tissues in cross-sections, but activity was strongest in the vascular bundles of leaves and the vascular cylinders of roots. To examine the properties of OsCaM1-1, the encoding cDNA was expressed in Escherichia coli. The electrophoretic mobility shift when incubated with $Ca^{2+}$ indicates that recombinant OsCaM1-1 is a functional $Ca^{2+}$-binding protein. In addition, OsCaM1-1 bound the CaMKII target peptide confirming its likely functionality as a calmodulin.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.3
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• pp.543-552
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• 2014

Papain family중 하나인 cysteine protease는 근골격계 질환 치료를 위한target molecule로 인식 되어왔으며 Cathepsin B 는 단백질 분해의 초기과정에 관여하는 cysteine proteases 중 하나이다. 본 연구는 넙치의 cathepsin B 유전자의 발현 양상과 넙치 cathepsin B(PoCtB)의 클로닝, 발현 및 효소특성을 분석하였다. cDNA Library Screening을 이용하여 넙치의 cDNA를 클로닝하였다. 넙치의 동정된 cathepsin B 유전자는 993bp의 open reading frame과 330개의 아미노산으로 이루어져있다. Cathepsin B의 propeptide region 내에 GNFD motif와 occluding loop 가 존재함으로써 이것이 명백하게 cathepsin B group이라는 것을 보여주며, 계통 유전학적 분석 결과 다른 종의 cathepsin B에 비해 초창기에 분화되어 나온 것으로 사료된다. mature enzyme인 maPoCtB은 fusion protein인 glutathione S-transferase를 포함하는 pGEX-4T-1 vector에 삽입하여 E.coli 균주인 $DH5{\alpha}$ 내에 발현시켰다. 재조합 단백질인 PoCtB을 과발현 시킨 결과 53kDa의 분자량을 가진다. 넙치 cathepsin B 활성은 Z-Arg-Arg-AMC와 같은 fluorogenic 펩타이드 기질을 이용하여 측정되었고 적정 pH는 pH.7.5 이다.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.7
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• pp.602-610
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• 2000

In communication networks used in safety-critical systems such as control systems in nuclear power plants there exist three types of data traffic : urgent or asynchronous hard real-time data hard real-time periodic data and soft real-time periodic data. it is necessary to allocate a suitable bandwidth to each data traffic in order to meet their real-time constraints. This paper proposes a method to meet the real-time constraints for the three types of data traffic simultaneously under a timer-controlled token bus protocol or the IEEE 802.4 token bus protocol and verifies the validity of the presented method by an example. This paper derives the proper region of the high priority token hold time and the target token rotation time for each station within which the real-time constraints for the three types of data traffic are met, Since the scheduling of the data traffic may reduce the possibility of the abrupt increase of the network load this paper proposes a brief heuristic method to make a scheduling table to satisfy their real-time constraints.

• Korean Journal of Plant Resources
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• v.28 no.4
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• pp.511-525
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• 2015

The purpose of this study is to offer the flora data for conserving the biodiversity of Gyeongju National Park by objective surveying and analysing the flora distributed in Mt. Gumi District, Gyeongju National Park, South Korea. The flora of Mt. Gumi were surmmarized as 476 taxa including 97 families, 297 genera, 419 species, 3 subspecies, 46 varieties and 8 forms. The rare plants were 6 taxa such as Aristolochia contorta, Paeonia lactiflora var. trichocarpa, Potentilla discolor, Berchemia berchemiaefolia, Trigonotis icumae and Iris odaesanensis. The Korean endemic plants were 9 taxa such as Carpinus laxiflora, Pseudostellaria coreana, Philadelphus schrenkii, Indigofera koreana, Lespedeza maritima, Vicia chosenensis, Galium koreanum, Lonicera subsessilis and Weigela subsessilis. The specific plants by floristic region were 38 taxa such as Salix chaenomeloides(I), Hylomecon vernalis (I), Oxalis obtriangulata (I), Viola orientalis(II), Adoxa moschatellina (II), Cirsium chanroenicum (II), Vitex negundo var. incisa (III) and so forth. The naturalized plants were 36 taxa such as Fallopia dumetorum, Chenopodium album, Lepidium virginicum, Amorpha fruticosa, Euphorbia supina, Carduus crispus, Erigeron strigosus, Festuca myuros and so forth. The invasive aline plant was Aster pilosus. The target plants adaptable to climate change were 8 taxa such as Artemisia rubripes, Carpesium macrocephalum and so forth.

• Korean Journal of Clinical Laboratory Science
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• v.38 no.3
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• pp.158-165
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• 2006

Although Mycobacterium tuberculosis complex strains remain responsible for the majority of diseases caused by mycobacterial infections worldwide, the increase in HIV infections has allowed for the emergence of other non-tuberculous mycobacteria as clinically significant pathogens. However, Mycobacterium species has a long period of incubation, and requires serious biochemical tests such as niacin, catalase, and nitrate test that are often tedious. The development of rapid and accurate diagnostics can aid in the early diagnosis of disease caused by Mycobacterium. The current DNA amplification and hybridization methods that have been developed target several genes for the detection of mycobacterial species such as hps65, 16S rDNA, rpoB, and dnaj. These methods produce rapid and accurate results. In this study, PCR-restriction fragment length polymorphism analysis(PCR-RFLP) based on the region of the rpoB gene was used to verify the identification of non-tuburculosis Mycobacterium species. A total of 8 mycobacterial reference strains and 13 clinical isolates were digested with restriction enzymes such as Msp I in this study. The results of using this process clearly demonstrated that all 13 specimens were identified by rpoB gene PRA method. The PCR-RFLP method based on the rpoB gene is a simple, rapid, and accurate test for the identification of Mycobacterium.

• Journal of Electrical Engineering and Technology
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• v.13 no.5
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• pp.1874-1885
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• 2018

The customer side operation is getting more complex in a smart grid environment because of the adoption of renewable resources. In performing energy management planning or scheduling, it is essential to forecast non-controllable resources accurately and robustly. The PV system is one of the common renewable energy resources in customer side. Its output depends on weather and physical characteristics of the PV system. Thus, weather information is essential to predict the amount of PV system output. However, weather forecast usually does not include enough solar irradiation information. In this study, a PV system power output prediction model (PPM) under limited weather information is proposed. In the proposed model, meteorological radiation model (MRM) is used to improve cloud cover radiation model (CRM) to consider the seasonal effect of the target region. The results of the proposed model are compared to the result of the conventional CRM prediction method on the PV generation obtained from a field test site. With the PPM, root mean square error (RMSE), and mean absolute error (MAE) are improved by 23.43% and 33.76%, respectively, compared to CRM for all days; while in clear days, they are improved by 53.36% and 62.90%, respectively.

• Electrical & Electronic Materials
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• v.10 no.7
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• pp.706-712
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• 1997

AlN(Aluminium Nitride) thin films were prepared using by RF sputtering method on the Si(100) and Si(111) substrates as the parameters of the substrate temperature, RF power, sputtering duration and the $N_2$/Ar ratio and investigated by X-ray diffraction, IR spectrometry, n&k analyzer. For the Si(100) substrate, the AlN thin films of (101) orientation were obtained under the conditions of room temperature and the nitrogen of 60 vol.%. For the Si(111) substrate, the (002) AlN thin films were obtained under the nitrogen of 100 vol.%. In case of the thin film prepared in the condition of above 60 vol.% of the nitrogen, the average value of the surface roughness of the film was 151$\AA$. From the changes of the half widths of E$_1$[TO] phonon bands at the wavenumber of 680$cm^{-1}$ /, it were compared of the crystallinities of the films which were grown under the different conditions. The thicknesses of AlN films were decreased dramatically in the region of the nitrogen of 40~60 vol.%. Its due to the nitridation of the Al target surface and getting low of the sputtering yield by the $N_2$/Ar ratio being increased.