• Journal of the Institute of Convergence Signal Processing
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• v.8 no.3
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• pp.185-191
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• 2007

Remote sensing images are multispectral image data collected from several band divided by wavelength ranges. The classification of remote sensing images is the method of classifying what has similar spectral characteristics together among each pixel composing an image as the important algorithm in this field. This paper presents a pattern classification method of remote sensing images by applying a possibilistic fuzzy c-means (PFCM) algorithm. The PFCM algorithm is a hybridization of a FCM algorithm, which adopts membership degree depending on the distance between data and the center of a certain cluster, combined with a PCM algorithm, which considers class typicality of the pattern sets. In this proposed method, we select the training data for each class and perform supervised classification using the PFCM algorithm with spectral signatures of the training data. The application of the PFCM algorithm is tested and verified by using Landsat TM and IKONOS remote sensing satellite images. As a result, the overall accuracy showed a better results than the FCM, PCM algorithm or conventional maximum likelihood classification(MLC) algorithm.

• 한국사회복지학회:학술대회논문집
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• 2004.06a
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• pp.3-50
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• 2004

${\cdot}$ Recent social policy and labour markets debates in Europe, responding to the difficulties faced by the traditional neo-Keynesian welfare state settlement, stress the value of positive investment alongside de-regulation and greater flexibility as a way of achieving both economic and social goals. ${\cdot}$ Patterns of policy reform are complex and reflect differing national circumstances. A general move towards deregulation, constraints on entitlement to passive benefits, programmes to enhance employment, particularly among high-risk groups such as single parents and young people, targeted subsidies for low earners and casemanagement may be identified. ${\cdot}$ In relation to investment in education, research and development and combined training and benefit programmes to enhance mobility between jobs the picture is less clear. Education standards continue to rise, but research and development spending stagnates and few countries have developed substantial ‘flexi-curity’ programmes to support job mobility. ${\cdot}$ The labour market tradition in much of Europe has been one of conflict between labour and employers. As labour grows weaker, new approaches develop. These tend to stress productivity agreements and greater flexibility in work practices within firms and reforms to passive social security systems more broadly, but movement to support the more challenging investment and flexi-curity policies is slow. ${\cdot}$ In general, social and labour market policies in Europe stress deregulation and negative activation more strongly than social investment and ‘flexi-curity’. The countries with high growth and employment achieve that goal by different routes: Sweden has a closely integrated social democratic corporatism with high spending on benefits and training programmes and the UK a more liberal market-oriented system, with lower spending, highly targeted benefits and less mobility support. ${\cdot}$ Europe has something to learn from Korea in achieving high investment in human capital and R and D, while Korea may have something to learn from Europe in social investment, particularly flexi-curity and equal opportunity policies.

• Convergence Security Journal
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• v.16 no.6_1
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• pp.15-24
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• 2016

Operation Chromite was the first combined landing operation executed by ROK marine corp's and allied forces on Sept 15, 1950. Its historical significance is that it provided Korea with an opportunity to retake capital city Seoul because it helped to fight back from Nakdong river defense Front. During the landing, ROK marine corp's was highly praised from US commanders that "No any defect was found from ROK marine corp's perfect battle performance." and ROK marine corp's spirit of sacrifice with serving our country presented a grant spectacle to all over the world. In these days, the reason why ROK marine corp's gains trust and has grow successfully as national army force is that it prepares national emergency though strong training during peacetime. However, bad tradition like beating and harsh treatment must be fixed. ROK marine corp's should improve and take over the hard earned tradition from former marines and do our best to be trusted from people.

• Geomechanics and Engineering
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• v.20 no.3
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• pp.191-205
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• 2020

Soil shear strength parameters play a remarkable role in designing geotechnical structures such as retaining wall and dam. This study puts an effort to propose two accurate and practical predictive models of soil shear strength parameters via hybrid artificial neural network (ANN)-based models namely genetic algorithm (GA)-ANN and particle swarm optimization (PSO)-ANN. To reach the aim of this study, a series of consolidated undrained Triaxial tests were conducted to survey inherent strength increase due to addition of polypropylene fibers to sandy soil. Fiber material with different lengths and percentages were considered to be mixed with sandy soil to evaluate cohesion (as one of shear strength parameter) values. The obtained results from laboratory tests showed that fiber percentage, fiber length, deviator stress and pore water pressure have a significant impact on cohesion values and due to that, these parameters were selected as model inputs. Many GA-ANN and PSO-ANN models were constructed based on the most effective parameters of these models. Based on the simulation results and the computed indices' values, it is observed that the developed GA-ANN model with training and testing coefficient of determination values of 0.957 and 0.950, respectively, performs better than the proposed PSO-ANN model giving coefficient of determination values of 0.938 and 0.943 for training and testing sets, respectively. Therefore, GA-ANN can provide a new applicable model to effectively predict cohesion of fiber-reinforced sandy soil.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.253-260
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• 2020

This study was performed to evaluate the effects of Visual feed-back ankle training combined with Ankle joint Functional electrical stimulation on balance, gait ability on patient with Chronic Stroke. A total of 22 chronic stroke patients were divided into VFAF Group, CON group. Each group performed 60 minutes a day 5 times a week for 8 weeks. VFAF group revealed significant differences in balance and gait ability as compared to the CON groups(p<.05). The exercises were conducted for 60 min per day, five, per week for eight weeks. Balance and gait ability were examined at 0 week and after 8 weeks of intervention. Our results showed that VFAF was more effective on balance ability and gait ability in chronic stroke patients. We suggest that this study will be able to be used as an clinical intervention data for recovering balance and gait ability in chronic stroke patients.

• Smart Structures and Systems
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• v.12 no.3_4
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• pp.327-344
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• 2013

Beam string structure (BSS) is introduced as a new type of hybrid prestressed string structures. The composition and mechanics features of BSS are discussed. The main principles of wavelet packet transform (WPT), principal component analysis (PCA) and support vector machine (SVM) have been reviewed. WPT is applied to the structural response signals, and feature vectors are obtained by feature extraction and PCA. The feature vectors are used for training and classification as the inputs of the support vector machine. The method is used to a single one-way arched beam string structure for damage detection. The cable prestress loss and web members damage experiment for a beam string structure is carried through. Different prestressing forces are applied on the cable to simulate cable prestress loss, the prestressing forces are calculated by the frequencies which are solved by Fourier transform or wavelet transform under impulse excitation. Test results verify this method is accurate and convenient. The damage cases of web members on the beam are tested to validate the efficiency of the method presented in this study. Wavelet packet decomposition is applied to the structural response signals under ambient vibration, feature vectors are obtained by feature extraction method. The feature vectors are used for training and classification as the inputs of the support vector machine. The structural damage position and degree can be identified and classified, and the test result is highly accurate especially combined with principle component analysis.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.87-91
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• 2003

It has well known that MUSIC and ESPRIT algorithms estimate angle of arrival(AOA) with high resolution by eigenvalue decomposition of the covariance matrix which were obtained from the array antennas. However, the disadvantage of MUSIC and ESPRIT is that they are computationally ineffective, and then they are difficult to implement in real time. The other problem of MUSIC and ESRPIT is to require calibrated antennas with uniform features, and are sensitive to the manufacturing facult and other physical uncertainties. To overcome these disadvantages, several method using neural model have been study. For multiple signals, those require huge training data prior to AOA estimation. This paper proposes the algorithm for AOA estimation by interconnected hopfield neural model. Computer simulations show the validity of the proposed algorithm. The proposed method does not require huge training procedure and only assigns interconnected coefficients to the neural network prior to AOA estimation.

• Journal of the Korean Society of Safety
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• v.34 no.1
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• pp.82-89
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• 2019

The importance of aviation safety has been emphasized recently due to the development of aviation industry. Despite the efforts of each country and the improvement of screening equipment, screening tasks are still difficult and detection failures are frequent. The purpose of this study was to examine the effect of feedback on improving signal detection performance applying a Simulated Baggage Screening Program(SBSP) for improving aviation safety. SBSP consists of three parts: image combination, option setting and experiment. The experimental images were color-coded to reflect the items' transmittance of the x-rays and could be combined as researchers' need. In the option, the researcher could set up the information, incentive, and comments needed for training to be delivered on a number of tasks and times. Experiment was conducted using SBSP and participant's performance information (hit, missed, false alarms, correct rejection, reaction time, etc.) was automatically calculated and stored. A total of 50 participants participated and each participant was randomly assigned to feedback and non-feedback group. Participants performed a total of 200 tasks and 20(10%) contained target object(gun and knife). The results showed that when the feedback was provided, the hit, correct rejection ratio and d′ were increased, however, the false alarms and miss decreased. However, there was no significant difference in response criteria(${\beta}$). In addition, implications, limitations of this study and future research were discussed.

• Korean Journal of Materials Research
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• v.29 no.1
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• pp.11-15
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• 2019

Severe wall thinning is found on the tube of a low-pressure evaporator(LPEVA) module that is used for a heat recovery steam generator(HRSG) of a district heating system. Since wall thinning can lead to sudden failure or accidents that lead to shutdown of the operation, it is very important to investigate the main mechanism of the wall thinning. In this study, corrosion analysis associated with a typical flow-accelerated corrosion(FAC) is performed using the corroded tube connected to an upper header of the LPEVA. To investigate factors triggering the FAC, the morphology, composition, and phase of the corroded product of the tube are examined using optical microscopy, scanning electron microscopy combined with energy dispersive spectroscopy, and x-ray diffraction. The results show that the thinnest part of the tube is in the region where gas directly contacts, revealing the typical orange peel type of morphology frequently found in the FAC. The discovery of oxide scales containing phosphate indicates that phosphate corrosion is the main mechanism that weakens the stability of the protective magnetite film and the FAC accelerates the corrosion by generating the orange peel type of morphology.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.237-245
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• 2021

The puropose of this study is to propose an effective diction training techniqe that conductors can use in choral communication. In chorus, the phonology of the language used in the lyrics influences the diction. Therefore, Korean lyrics must be pronounced according to Korean phonology. In verbal language, accuracy of pronunciation is important, but when expressing lyrics in a song, both vocalization and diction are important. In particular, chorus is sung by many people, so if the diction is not accurate, the lyrics will not be delivered properly. In this study, the dictions of lyrics frequently used in actual Korean choral songs were systematically analyzed according to Korean phonological rules. As a result of the study, the main factor that makes choral diction difficult is the phenomenon of phonological fluctuations in Korean. In particular, phonological fluctuations often occurred when pronouncing the final sound and when consonants and consonants were combined. A follow-up study intends to contribute to the development of choral communication by presenting a systematic choral diction based on Korean phonology.