• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.9-17
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• 2017

The current study attempted to develop and operate an exercise prescription expert system based on cloud computing. Recently, concerns on health are increasing due to the development of healthcare technology, increased life expectancy, and enhanced concerns on the body figure and wellbeing among Koreans. This trend pushes up the demand for the personal trainers and exercise specialists. However, supply of the exercise specialists are less than the demand. This study tries to develop exercise prescription system, aggregate diverse data, develop artificial intelligence rule, and operate exercise prescription expert system and education system. This system may assist training exercise professionals by replacing off-line training programs into on-line training programs. Further researches are recommended to connect diverse IoT devices and big data.

• The Journal of Korean Academy of Prosthodontics
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• v.54 no.4
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• pp.407-412
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• 2016

The neutral zone technique is an alternative approach for the construction of complete dentures on highly atrophic ridges with history of denture instability. This technique achieves two objectives. First, the teeth will not interfere with the normal muscle function, and second, the force exerted by the musculature against the denture is more favorable for stability and retention. In this case of a 78-years-old female patient with severely atrophic ridges who had been using unstable complete dentures, the neutral zone impression technique was used to increase the stability and the retention of dentures. The neutral zone for both arch was located with modeling compound. After the arrangement of artificial teeth within the neutral zone, the external impression was taken to determine the tissue surface. The final dentures showed enhanced stability and retention and the patient was satisfied with the new dentures with respect to functional and esthetic aspects.

• The Journal of Society for e-Business Studies
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• v.7 no.1
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• pp.87-106
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• 2002

The behavioral and dynamic implications of an ERP implementation/installation are, to say the least, not well understood. Getting the switches set to enable the ERP software to go live is becoming straightforward. The really difficult part is understanding all of the dynamic interactions that accrue as a consequence. Dynamic causal and connectionist models are employed to facilitate an understanding of the dynamics and to enable control of the information-enhanced processes to take place. The connectionist model ran be analyzing (behind the scenes) the information accesses and transfers and coming If some conclusions about strong linkages that are getting established and what the behavioral implications of those new linkages and information accesses we. Ultimately, the connectionist model will come to an understanding of the dynamic, behavioral implications of the larger ERP implementation/installation per se. The underlying connectionist model will determine information transfers and workflow. Once a map of these two infrastructures is determined by the model, it becomes a relatively easy job for an analyst to suggest improvements in both. Connectionist models start with analog object structures and then use learning to produce mechanisms for managerial problem diagnoses. These mechanisms are neural models with multiple-layer structures that support continuous input/output. Based on earlier work performed and published by the author[10][11], a Connectionist ReasOning and LEarning System(CROLES) is developed that mimics the real-world reasoning infrastructure. Coupled with an explanation subsystem, this system can provide explanations as to why a particular reasoning structure behaved the way it did. Such a system operates in the backgmund, observing what is happening as every information access, every information response coming from each and every intelligent node (whether natural or artificial) operating within the ERP infrastructure is recorded and encoded. The CROLES is also able to transfer all workflows and map these onto the decision-making nodes of the organization.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.170-170
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• 2017

The highly valued ornamental plant, Platycodon grandiflorum for. duplex was generated by petaloidy of a calyx of Platycodon grandiflorum. The present investigation was executed to explore the several factors having effects on the germination of pollens with a view to acquire the underlying data for the artificial crossing to cultivate the species of Platycodon grandiflorum for. duplex. Both low and high temperature impaired the germination of Platycodon grandiflorum for. duplex pollens. The good germination rate was observed at the temperature of $25^{\circ}C$. The types and concentrations of carbon sources induced the differences in germination rate. The germination rate increased with the increasing concentration of sucrose and glucose except for fructose. Sucrose and glucose showed the highest results at the concentration of 20%. While fructose demonstrated the similar tendency to sucrose and glucose, it reduced the germination rate at the concentration of 20%. The highest germination rate was observed at the concentration of 15%. The appropriate carbon course for germination of pollens of Platycodon grandiflorum for. duplex was glucose of which germination rate was twice as high as that of sucrose and fructose. The germination rate was reduced substantially when the pH was close to alkali, and the potential germination rate was obtained at pH 6. Boric acid enhanced the germination rate at a lower concentration than the higher concentration.

• Journal of Technologic Dentistry
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• v.25 no.1
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• pp.161-171
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• 2003

The purpose of this study is to examine the effect of parents knowledge on oral health status toward their children. This study was carried out to investigate and analyze the cognitive degree of dental subjects and general public who have an experience to be treated for their dental knowledge, operative dentistry, and dental prothesis in the oral health care through the questionnaires. The results are as follows : 1 : In questioning the frequency in the visitation of dental clinic, 68.8% usually go to see dentists, if children's teeth have trouble. It was the reason that economical standard and educational level were enhanced as before. 57.6% took a kind of medical measures. 2 : In surveying the preference of dentists’ age or gender, 56.9% preferred younger dentists to older or female dentists. On the contrary, 56.9% children want younger dentists, and 64.8% children want female dentist doctor. As a conclusion, the preference of dentists’ age or gender is relevant with a view to remove big horror, which can be evoked by dental measures. 3 : In questioning the possession amount of decayed teeth, 45.8% have more than four. Usually those parents who have children filled their decayed teeth with artificial or installed with dental prosthesis. As a conclusion, age is relevant in this study in p<0.05 level. 4 : In asking for efficient starting-year of tooth brushing, 42.6% said that 2 or 3 year age is the most efficient, and especially 80.6% teach children to learn brushing themselves. (P<0.05). As a conclusion, the voluntary brushing can be good behaviour for good dental health. 5 : In surveying the way they obtained dental information, 38.9% were given form mass media, but 90% were once not delivered with the education of dental health. Because parents have been known narrow and deficient information of dental health through mass media, experts in dental health have to deliver help their parents to be delivered with systematical dental information. The conclusion of this study can be summarized that parents' role is very important to their children's tooth health and the education program for systematical dental information should be delivered to their parents.

• Fisheries and Aquatic Sciences
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• v.13 no.2
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• pp.140-149
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• 2010

We determined the seasonal gonad maturation in Strongylocentrotus nudus sea urchins inhabiting an artificially enhanced seaweed forest along the Samchuk Coast of Korea from April 2006 to March 2007. A total of 30 sea urchins per month were collected from the study area, and gonadosomatic index (GSI), gonad index (GI), egg diameter, and RNA/DNA variation were measured for each specimen. GSI values of female and male urchins achieved maximums of 17.6 and 17.0, respectively, in June. Based on histological studies, maximum GI values occurred in July (4.6 for females and 4.8 for males). A mean ovarian egg diameter of $73.7\;\pm\;14.2\;{\mu}m$ was measured in August; during the main spawning period in September, mean egg diameter reached a maximum of $74.2\;\pm\;17.8\;{\mu}m$. The RNA/DNA ratio and RNA content for both males and females showed a distinct peak during the ripe stage in July, but another peak occurred in the spring season from March to April, when urchins deposit protein into the nutritive phagocytes of immature gonads prior to gametogenesis. The reproductive cycle of S. nudus is divided into five stages: early active (December-May), late active (March-July), ripe (July-September), spent and degenerative (August-November), and inactive (October-February). Our continuous removal of sea urchins from the study area did not influence the reproductive cycle, as populations quickly recovered, and achieved normal gonad development cycle in the site.

• Journal of Korea Multimedia Society
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• v.21 no.4
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• pp.450-463
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• 2018

Sound based machine fault diagnosis is the process consisting of detecting automatically the damages that affect the machines by analyzing the sounds they produce during their operating time. The collected sounds being inevitably corrupted by random disturbance, the most important part of the diagnosis consists of discovering the hidden elements inside the data that can reveal the faulty patterns. This paper presents a novel feature extraction methodology that combines various digital signal processing and pattern recognition methods for the analysis of the sounds produced by the drills. Using the Fourier analysis, the magnitude spectrum of the sounds are extracted, converted into two-dimensional vectors and uniformly normalized in such a way that they can be represented as 8-bit grayscale images. Histogram equalization is then performed over the obtained images in order to adjust their very poor contrast. The obtained contrast enhanced images will be used as the features of our diagnosis system. Finally, principal component analysis is performed over the image features for reducing their dimensions and a nonlinear classifier is adopted to produce the final response. Unlike the conventional features, the results demonstrate that the proposed feature extraction method manages to capture the hidden health patterns of the sound.

• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.6
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• pp.627-633
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• 1999

In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). Immune system is living body's self-protection and self-maintenance system. These features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For applying immune system to DARS, a robot is regarded as a ？3-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. When the environmental condition (antigen) changes, a robot selects an appropriate behavior strategy (antibody). And its behavior strategy is stimulated and suppressed by other robot using communication (immune network). Finally much stimulated strateby is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and immune network hypothesis, and it is used for decision making of optimal swarm strategy. Adaptation ability of robot is enhanced by adding T-cell model as a control parameter in dynamic environments.

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2002.10a
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• pp.156-156
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• 2002

The goal of this study is to develop a biomarker used in monitoring abnormal behaviors of Japanese medaka (Oryzias latipes) as a model organism caused by hazardous chemicals that are toxic and persistent in the ecosystem. A widely used insecticide, diazinon (O, O-diethyl O- (2-isopropyl-4-methyl-6-pyrimidinyl) phosphorothioate), is highly neurotoxic to fish, and it is also well known that it causes vertebral malformation and behavioral changes of fish at relatively low concentrations. The fish behaviors were observed on a real time basis using an image processing and automatic data acquisition system. The genes potentially involved in the abnormal behaviors were cloned using suppression subtractive hybridization (SSH) technique. The untreated individuals showed common behavioral characteristics. When the test fish was affected by diazinon at a concentration of 0.1 and 1 ppm, some specific patterns were observed in its behavioral activity and locomotive tracks. The typical patterns were enhanced surfacing activity, opercular movement, erratic movement, tremors and convulsions as reported previously. The number of genes up-regulated tty diazinon treatment were 97 which includes 27 of unknown genes. The number of down-regulated genes were 99 including 60 of unknown genes. These gene expression patterns will be analyzed by the artificial neural networks such as self organization map (SOM) and multilayer perceptron (MLP), revealing the role of genes responsible for the behaviors. These results may provide molecular biological and neurobehavioral bases of a biomonitoring system for diazinon using a model organism such as fish.

• Journal of Microbiology and Biotechnology
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• v.14 no.4
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• pp.707-714
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• 2004

How to improve the cell culture method on scaffolds is important in the tissue engineering fileld. In this study, we optimized seeding and culture methods to vascular smooth muscle cells (VSMCs) on biodegradable polymer scaffold. The primary culture of VSMCs obtained from canine external jugular vein was accomplished by applying the explant-derived method. The primary cultured VSMCs were seeded into scaffolds and then cultured by using various different methods; static or dynamic seeding, static or dynamic culture. The difference in proliferative response of VSMCs was analyzed with an alamar blue assay. Cell-polymer construct was examined by histochemical method and scanning electron microscopy. Mesh type scaffold ($10 \times 10 \times0.4 mm$) was made of polyglycolic acid (PGA) suture thread. The PGA mesh type scaffold was 45% in porosity, and 0.03 g in weight. The primary cultured VSMCs were confirmed with immunohistochemical staining using monoclonal anti-$\alpha$-smooth muscle actin. The density and distribution of proliferated VSMCs within the scaffold and cellular adherence on the surface of the scaffold showed better results in the static seeding condition than in the dynamic condition. Under the same condition of seeding method as the static condition, the dynamic culture condition showed enhanced proliferation rates of the VSMCs when compared to the static culture condition. In conclusion, to improve the VSMCs proliferation in vitro, static seeding is better than the dynamic condition. In the culture condition, however, culture under the dynamic status is better than the static condition. This was a pilot study to manufacture artificial vascular vessel by tissue engineering.