• Journal of the Korea Society of Computer and Information
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• v.21 no.10
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• pp.115-123
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• 2016

In this paper, we propose a Model Driven Development using UML(Unified Modeling Language) in an efficient Combat System Software development methods. UML is managed by the OMG (Object Management Group) as a Unified Modeling Language. Recently, In developing the software for the system, development time is contrary to a short, while it must meet a number of requirements of our customers. If you develop a non-efficient software early, the structure of the software become more complex in proportion to the number of requirements. As a result, a serious problem in the system, such as an increase in defective products due to the lowering of the reliability and communication problems between the developer has occurred. To overcome those problems, the aim of this paper is to develop a reusable high efficient Combat System Software by applying Model-Centric Development (Not Code-Centric Development). If Combat System Software development method using the UML proposed in this paper is used, easy communication among developers can help reduce the serious errors in systems. Also, it has the advantage that the future needs of software maintenance/repair become easy by using high readability object Model.

• Bulletin of the Korean Chemical Society
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• v.29 no.10
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• pp.2017-2022
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• 2008

Of the experiments to shorten NMR measuring time by sparse sampling, non-uniform sampling (NUS) is advantageous. NUS miminizes systematic errors which arise due to the lack of samplings by randomization. In this study, I report the real-time acquisition of 3D NMR data using NUS and maximum-entropy (MaxEnt) data processing. The real-time acquisition combined with NUS can reduce NMR measuring time much more. Compared with multidimensional decomposition (MDD) method, which was originally suggested by Jaravine and Orekhov (JACS 2006, 13421-13426), MaxEnt is faster at least several times and more suitable for the realtime acquisition. The designed sampling schedule of current study makes all the spectra during acquisition have the comparable resulting resolutions by MaxEnt. Therefore, one can judge the quality of spectra easily by examining the intensities of peaks. I report two cases of 3D experiments as examples with the simulated subdataset from experimental data. In both cases, the spectra having good qualitie for data analysis could be obtained only with 3% of original data. Its corresponding NMR measuring time was 8 minutes for 3D HNCO of ubiquitin.

• Korean Journal of Biological Psychiatry
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• v.15 no.4
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• pp.303-309
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• 2008

Objectives : Some reports have suggested that 5-HT5A polymorphism allelic association was associated with depression, however, there has been no report about relationship between the 5-HT5A gene and antidepressant response. We conducted the association study of the 5-HT5A receptor gene polymorphisms (-19G/C,12A/T) and response to citalopram in Korean patients with major depressive disorder(MDD). Methods : A total of 106 patients with major depressive disorder were included in this study. The patient's symptoms were measured by 21-item Hamilton Depression Rating Scale(HAMD) at baseline, week 1, week 2, week 4 and week 8 during citalopram treatment. A Responder to citalopram was defined by 50% reduction of total HAMD scores. To analyze genetic polymorphisms, a polymerase chain reaction based method was used. Results : At week 8, responders were 62, non-responders were 44. No significant differences of genotypes or allelic association in 19G/C and 12A/T polymorphisms were observed between responsive and non-responsive patients. Conclusion : These results do not support the hypothesis that this polymorphism of the HT5A receptor gene is involved in the therapeutic response to citalopram.

• Korean Journal of Biological Psychiatry
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• v.14 no.1
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• pp.42-47
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• 2007

Objectives : Studies have reported differences between depressed adults and controls in quantitative measures of EEG alpha asymmetry, but, there are few using Korean subjects. So, the present study compared EEG regional alpha asymmetries of patients having major depressive disorder(MDD) and normal controls. Methods : The subjects in this study were 11 unmedicated unipolar depressed patients and 11 non-depressed, age matched controls. Resting EEG(eyes closed and eyes open) was recorded from each participant using 8 scalp electrodes. Beck Depression Inventory(BDI), 17-item Hamilton Depression Rating Scale(HDRS), Zung's Self-Rating Depression Scale(SDS) and Spielberger's State-Trait Anxiety Inventory(STAI) were used to evaluate depression and anxiety symptoms. Results : The severities of depression measured by self-report questionnaires were positively associated with those of anxiety(state and trait) ; The subjects were both anxious and depressed. Anxious-depressed patients differed from controls in alpha asymmetry at T4 channels. They showed evidence of greater activation over right than left temporal site. Conclusion : These findings are consistent with the previousely reported alpha asymmetry of depressed patients with an anxiety disorder. The failure to find the evidence of reduced right parietal activity in depression is presumed to be due to opposing effects of comorbid anxiety on parietotemporal activity.

• Advances in Computational Design
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• v.2 no.3
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• pp.225-240
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• 2017

This paper presents the application of multiple linear regression (MLR) and artificial neural network (ANN) techniques for developing the models to predict the unconfined compressive strength (UCS) and Brazilian tensile strength (BTS) of the fiber reinforced cement stabilized fly ash mixes. UCS and BTS is a highly nonlinear function of its constituents, thereby, making its modeling and prediction a difficult task. To establish relationship between the independent and dependent variables, a computational technique like ANN is employed which provides an efficient and easy approach to model the complex and nonlinear relationship. The data generated in the laboratory through systematic experimental programme for evaluating UCS and BTS of fiber reinforced cement fly ash mixes with respect to 7, 14 and 28 days' curing is used for development of the MLR and ANN model. The data used in the models is arranged in the format of four input parameters that cover the contents of cement and fibers along with maximum dry density (MDD) and optimum moisture contents (OMC), respectively and one dependent variable as unconfined compressive as well as Brazilian tensile strength. ANN models are trained and tested for various combinations of input and output data sets. Performance of networks is checked with the statistical error criteria of correlation coefficient (R), mean square error (MSE) and mean absolute error (MAE). It is observed that the ANN model predicts both, the unconfined compressive and Brazilian tensile, strength quite well in the form of R, RMSE and MAE. This study shows that as an alternative to classical modeling techniques, ANN approach can be used accurately for predicting the unconfined compressive strength and Brazilian tensile strength of fiber reinforced cement stabilized fly ash mixes.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.27 no.3
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• pp.250-257
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• 2001

Sensory dysfunction following the injury of the inferior alveolar nerve requires objective examination to get a reproducible data and to provide necessary treatment. This study was designed to evaluate if the SEP(somatosensory evoked potentials) of the mental nerve can be used as an objective method for the diagnosis of nerve injury and sensory disturbances. The subjects were nineteen patients ($37.4{\pm}11.3$ years old) who had been suffered from sensory disturbance of the unilateral lower lip and mental region for over 6 months after the inferior alveolar nerve injuries confirmed by the microsurgical explorations. The clinical neurosensory tests as SLTD(static light touch discrimination), MDD(moving direction discrimination), 2PD(two point discrimination), PPN(pin prick nociception) and accompanied pain were preceded to electro-physiologic examinations as SEP. The score of sensory dysfunction (sum score of all sensory tests) ranged from 0 to 8 were compared to the latency differences of the mental nerve SEPs. The correlation between clinical sensory scores and SEPs were tested by Spearman nonparametric rank correlation analysis, the differences in SEP latency by Kruskal-Wallis test and the latency differences according to PPN and accompanied pain by Mann-Whitney U test. This study resulted that the difference of the latencies between normal side and affected side was $2.22{\pm}2.46$ msec and correlated significantly with the neurosensory dysfunction scores (p=0.0001). Conclusively, the somatosensory evoked potentials of the mental nerve can be a useful diagnostic method to evaluate the inferior alveolar nerve injuries and the change of sensory dysfunction to be reproduced as an objective assessment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3407-3411
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• 2015

In the process of extending the UML model for a various domain, comply with the UML metamodel and it is possible to obtain a number of advantages. However, the UML metamodel is necessary to redefine the diagram must be defined via the Profile in order to expand and transformation the UML metamodel from a variety of sources using the UML metamodel is becoming increase massive scale. it is necessary to use only those extracts the element relative to the target to be used to extend a UML metamodel. Used to re-define the extension of the UML Metamodel and Profile based UML modeling tools and metadata repositories by analysis tools, can develop more quickly and easily, by utilizing these tools can improve the quality of development in the SW industry. In this paper, we present an algorithm that of the profile through the expansion of the UML metamodel and shows the results in actually applying e-government standards framework.

• Journal of KIISE:Computer Systems and Theory
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• v.26 no.10
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• pp.1248-1257
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• 1999

MDDS는 디스크 시스템의 성능을 향상시키기 위해 하이퍼큐브의 각 노드에 디스크 블록들을 분산 저장하며, 인접한 노드에서 분산 저장하고 있는 디스크 블록을 중복 저장하고 있는 디스크 시스템이다. 본 논문에서는 디스크 서비스 시간을 분석하기 위한 선행 연구로서 소스 노드에서 생성된 디스크 서비스 요구 메시지가 디스크 서비스를 제공하는 목적 노드에 수신될 때까지의 시간인 전송 시간을 분석한다. 이러한 메시지의 전송 시간을 분석하기 위해 이 메시지가 링크를 통해 전송되지 못하고 대기할 확률인 전송 대기 확률을 분석한다. 이들 메시지의 전송 대기 확률을 분석하기 위해 메시지가 각 링크에서 전송되지 못하고 대기해야 하는 시간인 전송 대기 시간을 분석한다. 또 디스크 서비스 요구 메시지의 전송을 위해 링크가 사용되는 비를 분석하며, 메시지의 전송 대기 확률, 전송 대기 시간, 메시지 전송을 위해 링크가 사용될 비를 이용하여 디스크 서비스 요구 메시지의 전송 시간을 분석한다. Abstract Mirrored Declustering Disk System(MDDS) is the disk system to enhance the performance of disk system for hypercube. In MDDS, each node stores the disk blocks using the declustering technique. And the node also duplicates the disk blocks stored in neighboring nodes. In this paper, as the leading research for analyzing the disk service time, we analyze the transmission time of the disk service request message from the source node to the destination node. To analyze the transmission time of disk service request message, we analyze the probability of blocking the message related to the disk service request. For the analysis of the blocking probability, we analyze the blocking time at the link. We also analyze the rate at which the transmission link is used for transferring the disk service requests. And we analyze the transmission time of disk service request message by using the blocking probability, the blocking time, and the usage rate of link for transmitting the message.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.11a
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• pp.963-966
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• 2005

Model updating method is known to the area to correct finite element models by the results of the experimental modal analysis. Most common methods in model updating depend on a parametric model of the structure. In this case, the number of parameters is normally smaller than that of modal data obtained from an experiment. In order to overcome this limitation, many researchers are trying to get modal data as many as possible to date. 1 want to name this method multiple modified-system generation method. These Methods consist of direct system modification method and feedback controller method. The direct system modification Is to add a mass or stiffness on the original structure or perturb the boundary conditions. The feedback controller method is to make the closed food system with sensor and actuator so as to get the closed loop modal data. In this paper, we need to focus on the feedback controller method because of its simplicity. Several methods related the feedback controller methods are virtual passive controller (VPC) sensitivity enhancement controller (SEC) and mode decoupling controller (MDC). Among them, we will apply MDC to the model updating problem. MDC has various advantages compared with other controllers, such as VPC and SEC. To begin with, only the target mode can be changed without changing modal property of non-target modes. In addition, it is possible to fix any modes if the number of sensors is equal to that of the system modes. Finally, the required control power to achieve desired change of target mode is always lower than those of other methods such as VPC. However, MDC can make the closed loop system unstable when using incomplete modal data. So we need to take action to avoid undesirable instability from incomplete modal data. In this paper, we address the method to design the unique and robust MDD obtained from incomplete modal data. The associated simulation will be Incorporated to demonstrate the usefulness of this method.

• Psychiatry investigation
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• v.15 no.12
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• pp.1135-1143
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• 2018

Objective The aim of this study was to evaluate differences in psychopathology between offspring of parents with bipolar I disorder (BP-I) and those with bipolar II disorder (BP-II). Methods The sample included 201 offspring between 6 and 17 years of age who had at least one parent with BP-I or BP-II. The offspring were diagnostically evaluated using the Korean Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version. Psychopathology and Clinical characteristics were evaluated, including lifetime DSM-5 diagnoses, depression, and childhood trauma. Lifetime DSM-5 diagnoses were also compared between schoolchildren aged 6 to 11 years and adolescents aged 12 to 17 years. Results In lifetime DSM-5 diagnoses, offspring of parents with BP-I had significantly increased risk of developing MDD and BP-I than those with BP-II. Regarding clinical characteristics, ADHD rating scale and childhood trauma scale were significantly higher in offspring of parents with BP-I than that in those with BP-II. Conclusion The present study supports that BP-I may be etiologically distinct from BP-II by a possible genetic liability. Our findings indicate that additional research related to bipolar offspring is needed to enhance understanding of differences between BP-I and BP-II.