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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korea Convergence Society
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Journal DOI :
Korea Convergence Society
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Volume & Issues
Volume 5, Issue 4 - Dec 2014
Volume 5, Issue 3 - Sep 2014
Volume 5, Issue 2 - Jun 2014
Volume 5, Issue 1 - Mar 2014
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Vibration Fatigue Analysis of Spot Welded Component considering Change of Stiffness due to Fatigue Damage
Kang, Ki-Weon ;
Journal of the Korea Convergence Society , volume 5, issue 1, 2014, Pages 1~8
DOI : 10.15207/JKCS.2014.5.1.001
The purpose of this paper was to evaluate the fatigue life to apply the vibration fatigue analysis considering the stiffness change of the spot welding due to fatigue damage accumulation. For this, the mechanical and fatigue properties of base and spot welded standard specimens were obtained through the tensile and constant amplitude fatigue test. The transfer function of the spot-welded structure was obtained from the frequency response analysis and fatigue analyisis was performed under the condition of PSD=0.11. A vibration fatigue analysis that considered changes in the frequency response due to the fatigue damage that is, failure of some wleding point was conducted on spot-welded structure. The fatigue life of the spot-welded structure was determined by combining the transfer function, the S-N curve of the tensile-shear spot-welded joint and the input PSD.
Study on predictive modeling of incidence of traffic accidents caused by weather conditions
Chung, Young-Suk ; Park, Rack-Koo ; Kim, Jin-Mook ;
Journal of the Korea Convergence Society , volume 5, issue 1, 2014, Pages 9~15
DOI : 10.15207/JKCS.2014.5.1.009
Traffic accidents are caused by a variety of factors. Among the factors that cause traffic accidents are weather conditions at the time. There is a difference in the percentage of deaths according to traffic accidents, due to the weather conditions. In order to reduce the number of deaths due to traffic accidents, to predict the incidence of traffic accidents that occur in response to weather conditions is required. In this paper, it propose a model to predict the incidence of traffic accidents caused by weather conditions. Predictive modeling was applied to the theory of Markov processes. By applying the actual data for the proposed model, to predict the incidence of traffic accidents, it was compared with the number of occurrences in practice. In this paper, it is to support the development of traffic accident policy with the change of weather.
Spatial dose distribution and exposure dose during lumbar lateral test
Kim, Chang-Gyu ;
Journal of the Korea Convergence Society , volume 5, issue 1, 2014, Pages 17~22
DOI : 10.15207/JKCS.2014.5.1.017
During the lateral x-ray testing of lumbar, in order to obtain the optimal image for diagnosis and to minimize the exposure dose, a glass dosimeter and spatial dose measuring meter was used to measure and evaluate the exposure dose and spatial dose distribution of each organs. The exposure dose of the organs have increased as they were closer to the X-ray tube and when the radiation field was completely opened, the exposure dose was increased. In addition, scattered rays have increased as the distance got closer to the subject and with the distance of more than 200cm, 95% of scattered rays was reduced. Such results can anticipate the exposure dose of patients during the lumbar x-ray test in the future and it can be proposed as a data for determining the testing methods and expected to be widely used as an important basic data for reducing the medical exposure dose.
Structural Safety Analysis on Crack Propagation in Compact Tension Specimen
Cho, Jae-Ung ;
Journal of the Korea Convergence Society , volume 5, issue 1, 2014, Pages 23~27
DOI : 10.15207/JKCS.2014.5.1.023
In case eccentric load is applied at compact tension specimen, the propagation behavior due to existence or nonexistence of hole, numbers and positions of holes near crack is investigated in this study. Strain energy, displacement and stress happened in specimen are examined through simulation analysis. And stress intensity factor is obtained by the basis of strain energy and deformation. When defect or hole exists in structure, the possibility of fracture can be thought to be verified by using the study result.
SNS disclosure of personal information in M2M environment threats and countermeasures
Go, Jun-Young ; Lee, Keun-Ho ;
Journal of the Korea Convergence Society , volume 5, issue 1, 2014, Pages 29~34
DOI : 10.15207/JKCS.2014.5.1.029
It appeared with the development of IT skills to help the social network SNS(Social Network Service) on the online form. Many people around the world and in the business environment changes is the emergence of social networks are bringing. And the rapid development of the idea, but are insignificant for the security threats that are used by many people in many companies, and social network services. In addition, although it is true that this connection is increased from the number of mobile machines to the development of M2M, that is not recognized for that vulnerability. To evaluate and identify vulnerabilities against security threats and countermeasures for the SNS access the social network on the M2M After looking for privacy and in the present.
Japanese Vowel Sound Classification Using Fuzzy Inference System
Phitakwinai, Suwannee ; Sawada, Hideyuki ; Auephanwiriyakul, Sansanee ; Theera-Umpon, Nipon ;
Journal of the Korea Convergence Society , volume 5, issue 1, 2014, Pages 35~41
DOI : 10.15207/JKCS.2014.5.1.035
An automatic speech recognition system is one of the popular research problems. There are many research groups working in this field for different language including Japanese. Japanese vowel recognition is one of important parts in the Japanese speech recognition system. The vowel classification system with the Mamdani fuzzy inference system was developed in this research. We tested our system on the blind test data set collected from one male native Japanese speaker and four male non-native Japanese speakers. All subjects in the blind test data set were not the same subjects in the training data set. We found out that the classification rate from the training data set is 95.0 %. In the speaker-independent experiments, the classification rate from the native speaker is around 70.0 %, whereas that from the non-native speakers is around 80.5 %.