Youngsan University is a private university in southeastern South Korea. It operates a main campus in Yangsan City, South Gyeongsang province, a branch campus in nearby Busan, and an "auxiliary learning center" in Seoul. Youngsan offers undergraduate degrees in various practical fields, including international studies, law, Asian business, and information engineering. It also offers graduate degrees in legal affairs, hotel tourism management, information technology, real estate, and teaching English as a foreign language. Wikipedia.
Kim K.-B.,Silla University |
Kim J.-W.,Youngsan University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012
Korean traditional medicine has obtained more attention from the public and IT service industry especially after 'Dong-eui-bo-gam' was registered to UNESCO Memory of the World. However, there are many obstacles in developing and commercializing an on-line self-diagnosis system by Korean traditional medicine. From the service point of view, since people are accustomed to the westernized style of diagnosis (symptom-disease pair), it is not easy to understand what traditional Korean medicine diagnoses and how one can react. Technically speaking, we need a special symptom-disease database because Korean traditional medicine has been built upon the innate characteristics of Korean people's body. Thus, in this paper, we propose a self-diagnosis system of Korean traditional medicine based on Korean Standard Causes of Death Disease Classification Index (KCD) and fuzzy ART/inference method. Since this is for self-diagnosis, our system has graphical user-friendly interface that accepts symptoms of user from a certain part of body where the user feels inconvenient. Then, fuzzy ART algorithm and fuzzy inference engine picks up five most probable diseases with their causes and treatments extracted from Korean traditional medicine books. The power of our system comes from a fuzzy inference module combined with fuzzy ART algorithm that helps classifying related disease from database with accuracy. Our system is verified by field experts of Korean traditional medicine in collecting symptom-disease-treatments relationships and performance evaluation of experiment results. © 2012 Springer-Verlag.
Kim G.-H.,Hankuk Academy of Foreign Studies |
Kim B.-J.,Youngsan University
International Journal of Multimedia and Ubiquitous Engineering | Year: 2014
In this research we implement an EEG based music therapy. Music therapy can help the student deal with the stress, anxiety and depression problems. To do so we will develop EEG-based human emotion recognition algorithm. Proposed training program works as a therapist. The music choice and duration of the music is adjusted based on the student's current emotion recognized automatically from EEG. If the happy emotion is not induced by the current music, the system would automatically switch to another one until he or she feel happy. Proposed system is personalized brain music treatment that is making a brain training application running on smart phone or pad. That overcomes the critical problems of time and space constraints of existing brain training program. By using this brain training program, student can manage the stress easily without the help of expert. © 2014 SERSC.
Ji S.G.,Eulji University |
Kim M.K.,Youngsan University
Clinical Rehabilitation | Year: 2015
Objective: To investigate the effect of mirror therapy on the gait of patients with subacute stroke. Design: Randomized controlled experimental study. Setting: Outpatient rehabilitation hospital. Subjects: Thirty-four patients with stroke were randomly assigned to two groups: a mirror therapy group (experimental) and a control group. Interventions: The stroke patients in the experimental group underwent comprehensive rehabilitation therapy and mirror therapy for the lower limbs. The stroke patients in the control group underwent sham therapy and comprehensive rehabilitation therapy. Participants in both groups received therapy five days per week for four weeks. Main measures: Temporospatial gait characteristics, such as single stance, stance phase, step length, stride, swing phase, velocity, and cadence, were assessed before and after the four weeks therapy period. Results: A significant difference was observed in post-training gains for the single stance (10.32 SD 4.14 vs. 6.54 SD 3.23), step length (8.47 SD 4.12 vs. 4.83 SD 2.14), and stride length (17.03 SD 6.57 vs 10.54 SD 4.34) between the experimental group and the control group (p 〈 0.05). However, there were no significant differences between two groups on stance phase, swing phase, velocity, cadence, and step width (P 〉 0.05). Conclusion: We conclude that mirror therapy may be beneficial in improving the effects of stroke on gait ability. © The Author(s) 2014.
Park H.,Youngsan University
International Journal of Smart Home | Year: 2013
With the recent advances in mobile platform technologies, a variety of studies on context-aware information services for the tourist information domain have been undertaken. Many studies on ontological approaches to tourist informationservices, moreover, have been conducted. However, most studies have focused on upper-level or domain ontologies; comparatively, few have proceeded from the perspective of task ontology based on mobile users' generic tasks. Thus, we considered the construction of a task model and task ontology based on mobile users' generic activities for a task-oriented tourist information service. In this paper, we introduce 1) a generic task model based on travelers' needs and generic activities before and during trips, which model accounts for generic tasks and task processes; 2) a task ontology based on the generic task model, and 3) a task-ontology-based Task-Oriented Tourist Information Service (TOTIS). Using the generic task model and the task ontology, task-oriented menu can be constructed automatically by means simply users' selections and context-awareness. Additionally, compared with the existing domain-oriented services, the TOTIS can facilitate more flexible searching of tourist information and make real-time determinations with context-awareness.
Kim J.-W.,Youngsan University
Communications in Computer and Information Science | Year: 2011
We propose an algorithm for dynamic signature verification using the latest Smart-phones such as iPhone, android phone and MS windows phone. Also, we suggest simple signature patterns, the performance of a dynamic signature verification system, which determine the authentication of signatures by comparing and analyzing various dynamic data such as shape of the signature, writing speed, slant of shape, and the order and number of strokes for personal signatures for the smart-phones. In ubiquitous society, the smart-phone will be very important portable device for the mankind. © 2011 Springer-Verlag.
Kim B.,Youngsan University
Applied Physics Express | Year: 2012
An optical blue-shifting mechanism is reported for a heterostructure light-emitting solar cell (LESC), which has two absorbing layers and an emitting layer to act simultaneously as a photovoltaic device and an optical up-convertor. A detailed balance analysis for a combined system of an LESC and a single-junction solar cell gives a maximum efficiency of 43.9% for a band gap of 1.90 eV. Validity of the analysis has been demonstrated by comparing an analyzed result with that obtained from Shockley and Queisser's detailed balance model at a specific condition. © 2012 The Japan Society of Applied Physics.
Song S.,Youngsan University
Journal of Intelligent Information Systems | Year: 2015
The two important aspects for design of distributed database systems are operation allocation and data allocation. Operation allocation refers to query execution plan indicating which operations (subqueries) should be allocated to which sites in a computer network, so that query processing costs are minimized. Data allocation is to allocate relations to sites so that the performance of distributed database are improved. In this research, we developed a solution technique for operation allocation and data allocation problem, using three objective functions: total time minimization or response time minimization, and the combination of total time and response time minimization. We formulated these allocation problems and provided analytical cost models for each objective function. Since the problem is NP-hard, we proposed a heuristic solution based on genetic algorithm (GA). Comparison of results with the exhaustive enumeration indicated that GA produced optimal solutions in all cases in much less time. © 2013, Springer Science+Business Media New York.
Kang H.W.,Youngsan University
Journal of the Korean Society of Food Science and Nutrition | Year: 2012
The potential antioxidant and anti-inflammatory effect of water and ethanol extracts from Flammulina velu-tipes (Curtis) Singer (FVS) on hydrogen peroxide (H2O2) and LPS-induced oxidative damage in PC-12 and RAW264.7 cells were investigated. The DPPH radical scavenging activities of the water extract from FVS was the highest, and the 50% inhibitory concentration value was 0.388 mg/mL. Also, the antioxidant activities of water and ethanol extracts were determined by ferric reducing antioxidant power, 2,2′-azino-bis-(3-ethybenzo-thiazoline-6-sulphonic acid) radical scavenging activity. In addition, water extract from FVS showed a strongly inhibitory effect on lipid peroxidation by measuring ferric thiocyanate values. The water extract decreased cell apoptosis in PC-12 cells against H2O2-induced oxidative damage. In addition, FVS extracts exhibited the strongest nitric oxide (NO) inhibition activity. It was also found that FVS extract inhibited LPS-induced iNOS and COX-2 expression in RAW264.7 cells. The findings of the present study suggest that extracts of FVS exhibit anti-oxidative and anti-inflammatory activity against oxidative stress and/or stimulated cells.
Kim B.J.,Youngsan University
International Journal of Multimedia and Ubiquitous Engineering | Year: 2015
Advances in digital sensors, communications, computation, and storage have created huge collections of data, capturing information of value to business, science, government, and society. Many machine learning algorithms do not scale beyond data sets of a few million elements or cannot tolerate the statistical noise and gaps found in real-world data. Further research is required to develop algorithms that apply in real-world situations and on data sets of trillions of elements. In this paper we propose a conjugate based novel algorithm to handle the huge collections of data. Through the experimental results, proposed method performs well on huge data from UCI machine learning repositorydata Set. © 2015 SERSC.
Youngsan University | Date: 2013-12-03
Disclosed is a method of detecting an excessive disparity object, which separates and detects only an object having an excessive disparity. The method includes a disparity-map forming step of forming disparity-maps for left and right images by analyzing the left and right images included in a 3-D image, a binarization step of setting an excessive disparity candidate region having a disparity value equal to or greater than a preset threshold value in each disparity-map, a masking step of maintaining a pixel value of a region of one selected from the left and right images, which is overlapped with the excessive disparity candidate region, as an original pixel value, and substituting a pixel value of a region of the one selected from the left and right images, which is not overlapped with the excessive disparity candidate region, with a reference pixel value, and a region division step of performing region division with respect to the region having the maintained pixel value based on pixel brightness and disparity.