• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.27 no.3
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• pp.181-187
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• 2016

Objectives: This study investigated the relationship between depression, attachment and addiction problems in runaway youths. Methods: We sent a questionnaire package to 187 runaway youths in 18 adolescent shelters. The questionnaire package collected their sociodemographic data and included the Patient Health Questionnaire-9, Inventory of Parent Attachment (IPA), Korean Internet Addiction Self-Scale (K-Scale), Korean version of Alcohol Use Disorders Identification Test, and Korean version of the $Fagerstr{\ddot{o}}m$ Test for Nicotine Dependence. Results: The percentage of youth with depression was 28.8% (N=54). In the depression group, there were significantly more problematic alcohol users (53.06%, p=.0199) and significantly lower IPA scores (p=.0064). There was a significant negative correlation between depression and a IPA, and significant positive correlation between depression and the K-Scale. Conclusion: These results suggest that runaway youths with depression have more problematic alcohol drinking and attachment problems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.3
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• pp.207-218
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• 1991

In this paper, the characteristics of MODEM with the low and medium transmission rate which are recommended by the international organization such as CCITT have been studied and the features of the telephone channel have been investigated. Then three kinds of classification algorithm for the modulated signals have been suggested and their performance have been researched through the computer simulation. In case that the channel is ideal, the modulated type such as FSK, PSK and QAM could be detected correctly. Moreover, when the modulated signals are received through the telpehone channel or noisy channel, it could be seen that the performance of the correlation algorithm is superior to that of other two algorithms because of the correlation being robust to the characteristics of telephone chanel and Gasussian noise, although the performances of the two classification algorithm using the peak and phase difference, signal constellation and so on decrease rapidly as the amplitude distortion, delay distortion and Gaussian noise increase.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.5
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• pp.1999-2002
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• 2012

Background: DNA polymerase is a single-copy gene that is considered to be part of the DNA repair machinery in mammalian cells. The encoded enzyme is a key to the base excision repair (BER) pathway. It is evident that pol beta has mutations in various cancer samples, but little is known about ovarian cancer. Aim: Identification of any variant form of $pol{\beta}$ cDNA in ovarian carcinoma and determination of association between the polymorphism and ovarian cancer risk in Indian patients. We used 152 samples to isolate and perform RT-PCR and sequencing. Results: A variant of polymerase beta (deletion of exon 4-6 and 11-13, comprising of amino acid 63-123, and 208-304) is detected in heterozygous condition. The product size of this variant is 532 bp while wild type pol beta is 1 kb. Our study of association between the variant and the endometrioid type shows that it is a statistically significant factor for ovarian cancer [OR=31.9 (4.12-246.25) with p<0.001]. The association between variant and stage IV patients further indicated risk (${\chi}^2$ value of 29.7, and OR value 6.77 with 95% CI values 3.3-13.86). The correlation study also confirms the association data (Pearson correlation values for variant/stage IV and variant/endometrioid of 0.44 and 0.39). Conclusion: Individuals from this part of India with this type of variant may be at risk of stage IV, endometrioid type ovarian carcinoma.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.27-43
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• 2015

Ever more so than any other times, today's corporations today face an ultimate issue of acquiring highest work expertise for their employees. However, most of current academic researches try to focus on what factors comprise an expertise while they fail to tackle the very issue of detailed numerical measurement of the expertise factors recommended improvement paths, and goals for each measured expertise level. Hence, this study suggests more objective and highly reliable identification of work competence measurement factors and the correlation among the identified factors. For details, it tries to propose a methodology of expertise measurement by developing into the definition of experts and expertise, reestablishment of expertise factors, determination of reference points of the expertise factors, and weighting of the factors. This measurement methodology finds that it itself has significant correlation with existing work competency level measurement and test tools. Therefore it is identified to justify its effectiveness. Finally, this study proposes an action point of establishing a national expertise architecture and its frameworks for various societies in general.

• Journal of Broadcast Engineering
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• v.18 no.6
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• pp.823-834
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• 2013

In this paper, we propose a detection method for Digital Radio Mondiale (DRM) Plus suitable for hybrid mode broadcasting which services both DRM Plus and analog FM within the same frequency band. The guard-interval correlation method of Orthogonal Frequency Division Multiplexing (OFDM) is good for DRM Plus signal detection, but the possibility for false alarm increases when FM signal is received. The proposed method includes a reference block in the guard-interval correlation which increases the identification rate of weak DRM Plus signals and decreases the possibility of false alarm when analog FM is received. The performance of the proposed method is verified through simulations.

• Korean Journal of Optics and Photonics
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• v.13 no.6
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• pp.493-500
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• 2002

Fingerprint recognition is concerned with fingerprint acquisition and matching. Our research was focused on a fingerprint matching method using an inkless fingerprint input sensor at the fingerprint acquisition step. Since an inkless fingerprint sensor produces a digital-image-processed fingerprint image, we did not consider noise that can happen while acquiring the fingerprint. And making the user attempt fingerprint input as random, we considered image distortion that translation and rotation are included as complex. NJTC algorithm is used for fingerprint identification and verification. The method to find the center of the fingerprint is added in the NJTC algorithm to supplement discrimination of fingerprint recognition. From this center point, we decided the optimum cropping size for effective matching with pixels and demonstrated that the proposed method has high discrimination and high efficiency.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.2
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• pp.102-112
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• 2012

In this paper, we propose a texture classification using wavelet-domain BDIP (block difference of inverse probabilities) and BVLC (block variance of local correlation coefficients) features with WPCA (whitened principal component analysis) classifier. In the proposed method, the wavelet transform is first applied to a query image. The BDIP and BVLC operators are next applied to the wavelet subbands. Global moments for each subband of BDIP and BVLC are then computed and fused into a feature vector. In classification, the WPCA classifier, which is usually adopted in the face identification, searches the training feature vector most similar to the query feature vector. Experimental results show that the proposed method yields excellent texture classification with low feature dimension for test texture image DBs.

• Journal of the Korean Dietetic Association
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• v.17 no.1
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• pp.1-17
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• 2011

The purpose of this study is to assess dietary habits of the hazardous drinkers and the heavy episodic drinkers in Korean adults. The respondents consisted of 814 adults (415 male and 399 female) who are 20~69 years of age by random selection in partial area of Gyeonggi. A self-report questionnaire was used to cover questions regarding dietary habits, drinking behavior and physical activity. Total dietary habit scores in hazardous drinker group (63.25) was significantly lower than normal drinker group (68.61) in male respondents (P<0.001). Male hazardous drinker group less eat fruit (P<0.01), eat more processed food (P<0.01) than male normal drinker group. Female hazardous drinker group doesn't eat 3 meals a day than female normal drinker group. Total dietary habit scores in heavy episodic drinker group [occasional heavy episodic drinker (62.76), frequent heavy episodic drinker (63.77)] were significantly lower than abstainer group (69.16) in male respondents (P<0.001). Male heavy episodic drinker group less eat fruit (P<0.01), eats more processed food (P<0.01), salty food (P<0.001), sugary food (P<0.05), animal fat (P<0.01) and eats out often (P<0.01) than male abstainer group. Male heavy episodic drinker group significantly less apply nutrition knowledge to their life (P<0.05) and less exercise everyday-more than 1 hour (P<0.01) than male abstainer group. In drinking behavior index, AUDIT (alcohol use disorder identification test) score was negatively correlated with age (P<0.01). There was a positive correlation between dietary habits and physical activity (P<0.01) but there was negative correlation between dietary habits and AUDIT score (P<0.01). This study highlights that AUDIT score was negatively influenced dietary habits.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.221-228
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• 2013

The purpose of this study was to examine the effects of alcohol use, depression, and self-esteem on suicidal ideation of older adults. Community-dwelling older adults aged 65 years and older were recruited from three welfare centers. A total of 245 older adults was assessed with the Alcohol Use Disorder Identification Test-Korean (AUDIT-K), Geriatric Depression Scale Short Form-Korea Version (GDSSF-K), Self-Esteem Scale (SES), and Scale for Suicidal Ideation (SSI). Descriptive statistics, Pearson's correlation, independent t-test, one-way ANOVA, and multiple regression analysis were performed using the SPSS WIN 19.0 program. Higher depression, lower self-esteem, no religion, and poorly perceived health were statistically significant determinants of higher level of suicidal ideation in older adults. To prevent or reduce suicidal ideation of older adults, health care providers should consider the determinants identified in this study.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.137-147
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• 2015

This study proposes an algorithm for predicting breast cancer prognosis based on genetic network. We identify prognosis-specific network using gene expression data and PPI(protein-protein interaction) data. To acquire the network, we calculate Pearson's correlation coefficient(PCC) between genes in all PPI pairs using gene expression data. We develop a prediction model for breast cancer patients with estrogen-receptor-negative using the network as a classifier. We compare classification performance of our algorithm with existing algorithms on independent data and shows our algorithm is improved. In addition, we make an functionality analysis on the genes in the prognosis-specific network using GO(Gene Ontology) enrichment validation.