• The KIPS Transactions:PartC
• /
• v.13C no.4 s.107
• /
• pp.427-434
• /
• 2006

Broadband Convergence Network(BcN) is a critical infrastructure to provide wired-and-wireless high-quality multimedia services by converging communication and broadcasting systems, However, there exist possible danger to spread the damage of an intrusion incident within an individual network to the whole network due to the convergence and newly generated threats according to the advent of various services roaming vertically and horizontally. In order to cope with these new threats, we need to analyze the vulnerabilities of BcN in a system architecture aspect and classify them in a systematic way and to make the results to be utilized in preparing proper countermeasures, In this paper, we propose a new classification of vulnerabilities which has been extended from the ITU-T recommendation X.805, which defines the security related architectural elements. This new classification includes system elements to be protected for each service, possible attack strategies, resulting damage and its criticalness, and effective countermeasures. The new classification method is compared with the existing methods of CVE(Common Vulnerabilities and Exposures) and CERT/CC(Computer Emergency Response Team/Coordination Center), and the result of an application to one of typical services, VoIP(Voice over IP) and the development of vulnerability database and its management software tool are presented in the paper. The consequence of the research presented in the paper is expected to contribute to the integration of security knowledge and to the identification of newly required security techniques.

• Korean Journal of Remote Sensing
• /
• v.35 no.6_2
• /
• pp.1107-1115
• /
• 2019

Satellite data play a major role in supporting knowledge about forest fire by delivering rapid information to map areas damaged. This study, we used 7 Sentinel-2A images to detect change area in forests of Sokcho on April 4, 2019. The process of classify forest fire severity used 7 levels from Sentinel-2A dNBR(differenced Normalized Burn Ratio). In the process of classifying forest fire damage areas, the study selected three areas with high regrowth of vegetation level and conducted a detailed spatial analysis of the areas concerned. The results of dNBR analysis, regrowth of coniferous forest was greater than broad-leaf forest, but NDVI showed the lowest level of vegetation. This is the error of dNBR classification of dNBR. The results of dNBR time series, an area of forest fire damage decreased to a large extent between April 20th and May 3rd. This is an example of the regrowth by developing rare-plants and recovering broad-leaf plants vegetation. The results showed that change area was detected through the change detection of danage area by forest category and the classification errors of the coniferous forest were reached through the comparison of NDVI and dNBR. Therefore, the need to improve the precision Korean forest fire damage rating table accompanied by field investigations was suggested during the image classification process through dNBR.

• Korean Journal of Applied Biomechanics
• /
• v.15 no.3
• /
• pp.143-152
• /
• 2005

The purpose of this study was to predict the failure or success of the Snatch-lifting trial as a consequence of the stand-up phase simulated in Kane's equation of motion that was effective for the dynamic analysis of multi-segment. This experiment was a case study in which one male athlete (age: 23yrs, height: 154.4cm, weight: 64.5kg) from K University was selected The system of a simulation included a multi-segment system that had one degree of freedom and one generalized coordinate for the shank segment angle. The reference frame was fixed by the Nonlinear Trans formation (NLT) method in order to set up a fixed Cartesian coordinate system in space. A weightlifter lifted a 90kg-barbell that was 75% of subject's maximum lifting capability (120kg). For this study, six cameras (Qualisys Proreflex MCU240s) and two force-plates (Kistler 9286AAs) were used for collecting data. The motion tracks of 11 land markers were attached on the major joints of the body and barbell. The sampling rates of cameras and force-plates were set up 100Hz and 1000Hz, respectively. Data were processed via the Qualisys Track manager (QTM) software. Landmark positions and force-plate amplitudes were simultaneously integrated by Qualisys system The coordinate data were filtered using a fourth-order Butterworth low pass filtering with an estimated optimum cut-off frequency of 9Hz calculated with Andrew & Yu's formula. The input data of the model were derived from experimental data processed in Matlab6.5 and the solution of a model made in Kane's method was solved in Matematica5.0. The conclusions were as follows; 1. The torque motor of the shank with 246Nm from this experiment could lift a maximum barbell weight (158.98kg) which was about 246 times as much as subject's body weight (64.5kg). 2. The torque motor with 166.5 Nm, simulated by angular displacement of the shank matched to the experimental result, could lift a maximum barbell weight (90kg) which was about 1.4 times as much as subject's body weight (64.5kg). 3. Comparing subject's maximum barbell weight (120kg) with a modeling maximum barbell weight (155.51kg) and with an experimental maximum barbell weight (90kg), the differences between these were about +35.7kg and -30kg. These results strongly suggest that if the maximum barbell weight is decided, coaches will be able to provide further knowledge and information to weightlifters for the performance improvement and then prevent injuries from training of weightlifters. It hopes to apply Kane's method to other sports skill as well as weightlifting to simulate its motion in the future study.

• Journal of Veterinary Clinics
• /
• v.32 no.4
• /
• pp.324-329
• /
• 2015

The primary aim of this study was to investigate biosecurity practices in pig farms and to determine the major risk factors associated with PCV2 infection for a sampled swine population in Korea. To this end, we analyzed data from a cross-sectional study of 296 farrow-to-finish farms, which was conducted between March and September 2014 to explore the prevalence of swine disease at farm level. Face-to-face interviews by on-site visit of trained veterinarians were conducted with the farm owners or managers using a standardized questionnaires with information about basic demographical data and management practices. Farms were classified as negative or positive through the use of infection profiles that combined data on serological testing including PCR antigen test result, antibody titer and sero-conversion pattern at each age category taking into account vaccination status. Data were analyzed using multivariate ordinal logistic regression. Results from this study indicated that biosecurity level of the farms was considered not good given low compliance of the biosecurity programs and facilities in the farm: off-site removal of dead stocks (7%), off-site location of storage facility for incoming feeds (12.6%), off-site pick-up location for finishers (19.3%), restrictions on feed supplier vehicles for farm entrance (19.6%), restriction of finisher trucks entering the farm (22.4%), and restriction on manure disposal trucks entering the farm (26.4%). In the final model (n = 255), allowance of finisher truck driver to the pig unit had increased risk of infection (OR = 2.4, 95% CI 1.22-4.67) whereas farms with a sign forbidding the entrance had decreased risk of infection (OR = 0.19, 95% CI 0.10-0.58). Further comprehensive research with larger sample size is required to better understand the multifactorial characteristic that some predisposing risk factors that were not available in this study. To the best knowledge of the authors, this was the first study to use empirical data to report risk factors associated with PCV2 infection in the Korean pig farms. Results from the current study could be used to decide optimal biosecurity measures to reduce the impact of PCV2 infection to farmers and policy makers.

• Journal of Preventive Medicine and Public Health
• /
• v.43 no.3
• /
• pp.213-221
• /
• 2010

Objectives: Plasma lipid profiles and Apolipoprotein E (ApoE) are established risk factors for cardiovascular disease (CVD). The knowledge of lipid profile may estimate the potential victims of cardiovascular disease before its initiation and progression and offers the opportunity for primary prevention. The most common ApoE polymorphism has been found to influence plasma lipid concentrations and its correlation with CVD has been extensively investigated in the last decade. Methods: The ApoE polymorphism and its influence on plasma lipid were investigated in healthy woman workers. The information on confounding factors was obtained through a self-administered questionnaire and ApoE polymorphism was investigated using PCR. Results: The relative frequencies of alleles E2, E3 and E4 for the study population (n = 305) were 0.127, 0.750 and 0.121, respectively. ApoE polymorphism was associated with variations in plasma HDL-cholesterol lipid profile. In order to estimate the independent effects of alleles E2 and E4, as compared with E3, on lipid profile, multiple regression was performed after adjustment for confounding variables such as age, BMI, blood pressure, education status, insulin, fasting glucose, HOMA-IR, menopause. ApoE2 had a negative association with HDL cholesterol and ApoE4 had a positive association with LDL cholesterol. Conclusions: This study identified that the ApoE and CVD risk factors contribute to the lipid profiles, similar to other studies. The analysis including dietary intake and other gene in further studies may help to identify clear effects on lipid profiles as risk factor for CVD.

• Molecules and Cells
• /
• v.38 no.8
• /
• pp.685-696
• /
• 2015

Rice is a model plant widely used for basic and applied research programs. Plant cell wall proteins play key roles in a broad range of biological processes. However, presently, knowledge on the rice cell wall proteome is rudimentary in nature. In the present study, the tightly-bound cell wall proteome of rice callus cultured cells using sequential extraction protocols was developed using mass spectrometry and bioinformatics methods, leading to the identification of 1568 candidate proteins. Based on bioinformatics analyses, 389 classical rice cell wall proteins, possessing a signal peptide, and 334 putative non-classical cell wall proteins, lacking a signal peptide, were identified. By combining previously established rice cell wall protein databases with current data for the classical rice cell wall proteins, a comprehensive rice cell wall proteome, comprised of 496 proteins, was constructed. A comparative analysis of the rice and Arabidopsis cell wall proteomes revealed a high level of homology, suggesting a predominant conservation between monocot and eudicot cell wall proteins. This study importantly increased information on cell wall proteins, which serves for future functional analyses of these identified rice cell wall proteins.

• Journal of Nutrition and Health
• /
• v.26 no.5
• /
• pp.625-638
• /
• 1993

The purpose of this study was to observe the relationship of dietary factors to blood pressure in 5th and 6th grade school children. Salt threshold, salt preference and nutrition knowlege about blood pressure were tested. Twenty-four hour urines were collected for the measurements of the volume and concentrations of sodium, potassium, chloride, calcium, phosphorus, creatinine and urea nitrogen. 1) Mean systolic and diastolic blood pressure of elementary school children were 106.8/67.6mmHg in males and 108.7/69.5mmHg in females. Seven children(4%) of total subjects were found to be hypertensive. Their mean blood pressure was 130.0/86.4mmHg. 2) Urinary excretions of creatinine and urea nitrogen during twenty-four hours were 621.1mg and 1524mg, respectively. The mean daily urinary sodium excretion was 2940mg, which is equivalent to 7.37g NaCl. 3) The daily urinary excretions of other minerals were as follows; potassium was 1301mg, chloride, 4991mg, calcium, 55.7mg and phosphorus, 700.03mg. 4) Salt preference of hypertensive children90.473$\pm$0.275) was significantly higher than those of normotensive children(0.473$\pm$0.213%), but salt threshold was lower in hypertensives(0.105$\pm$0.04%) than normotensives(0.081$\pm$0.022%) (p<0.05). INdices for assessing obesity, such as body weight, triceps skinfold, weight for heigth and body surface area, were high in hypertensive children than normotensive children(p<0.05). But there was no significant difference in energy and nutrient intakes between two groups. 5) Various anthropometric measurements had positive correlations with blood pressure, but body muscle mass(%) had a negative correlation with blood pressure. And daily energy and nutrient intakes were not related to blood pressure. 6) Blood pressures-both systolic and diastolic-were significantly correlated with urinary excretions of potassium and chloride. Daily sodium excretion was related to systolic blood pressure, but no related to diastolci blood pressure. There was no relationship of salt threshold to salt preference, and neither threshold nor preference was related to blood pressure. Results of this study suggest that nutrition education program for children including the information about desirable food habits for the prevention of hypertension should be developed.

• Journal of Convergence for Information Technology
• /
• v.8 no.3
• /
• pp.175-181
• /
• 2018

The purpose of this study is to explore the educational needs of learning supporting program on the students' perception of current competencies and important competencies. The data was collected by using the online type (e-mail survey) and the offline type (printed survey) with survey instrument developed by researcher. Survey instrument was composed of 3 categories and 10 competencies. Collected data was analyzed using the SPSS 21.0 for Windows statistical package. And 159 cases were analyzed finally. The paired t-test was conducted to analyze the difference between importance-performance of students' competencies. The educational needs of learning supporting program were calculated by using the Borich's formula. The findings were as follows: The first, 3 categories and 10 competencies were significant difference exists statistically. The second, The high ranks of the educational needs of learning supporting program were 'Major field knowledge', followed by 'Creativity', 'Problem solving ability', 'Global capability', 'Technology capability' in sequence. The results of this study reflected the authentic needs of students will be used a basic data to establish the curriculum for learning supporting program.

• Journal of vocational education research
• /
• v.30 no.4
• /
• pp.69-87
• /
• 2011

Until now, most of the attention related information and knowledge transmission is on the verbal message provided by educators. But recently, many researchers are emphasizing importance of nonverbal communication behavior in the evaluation of communicator include educators. When nonverbal messages reinforce verbal messages, meaning is conveyed quickly and easily and with increased comprehension. The purpose of this study is to analyze the effect of professor nonverbal communication on students' academic achievement. In this study, nonverbal communication was divided into the three dimensions of kinesis, proxemics, paralanguage, and physical appearance. It was studied to examine the direct or indirect effects of nonverbal communication on attitude toward the professor and academic achievement. Additionally, it examined the moderating effect of academic self-efficacy in the relationship between attitude toward the professor and academic achievement. The data were collected from 214 college students using an online survey. The results showed that the kinesis, proxemics, and physical appearance, except paralanguage, have significantly positive influence on attitude toward the professor. And the moderating effect of academic self-efficacy has also been founded.

• Journal of Digital Convergence
• /
• v.17 no.6
• /
• pp.219-227
• /
• 2019

This study aims to examine Blockchain research trend using bibliometrics-based network analysis. The data were collected from WoS, Scopus, Korea Citation Index and National science & Technology Information Service, from 2009 to 2018. As results, the number of publications has started increasing rapidly from 2017 and it showed the initial stage of formation of coauthor network. Words often used in the title of the publications were related to application development, controversy and technology development. In addition, the majority of domestic papers are in the subject of social science, while international papers tend to focus on engineering issues. The results of the temporal analysis show that Korean researchers' block chain 3.0 started in 2017 and are rapidly increasing in 2018. The number of citations was associated with publication year in a statistically signifiant way. By examining these research trends, we hope that this paper can be a useful basis for the development of blockchain. Future research is expected to reveal more clearly the knowledge structure and characteristics of blockchain around the world.