• Biomedical Science Letters
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• v.22 no.3
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• pp.75-82
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• 2016

The immune system and neuroendocrine systems are the two key components that maintain bodily homeostasis. Peripheral blood specimens can indicate abnormalities in a body, which often cause various threats to human health, including devastating autoimmune or metabolic diseases. To develop a treatment regimen for such diseases, experimental animal models are indispensable to researchers in academic fields. In this study, we examined the peripheral blood of 3 representative mouse strains (ICR, Balb/c, and C57Bl/6), which are widely used, to investigate whether there is a difference in reference range according to animal model. We performed hematological and chemistry analysis on individuals of both genders. The results of hematology analysis showed that the number of most types of blood cells was lower in ICR than in the other two strains. The results of chemical analysis revealed no specific pattern, but different patterns according to the individual indicator. Although the distinction between ICR and B6 was prominent, differences between Balb/c and B6 were also observed for several indicators. For some indicators, totally different patterns existed between females and males. Conclusively, this study provides the information that 3 experimentally representative mouse models have their own basal levels of blood components, suggesting the importance of a careful choice of a proper mouse model in research into immune or metabolic diseases, to exclude any biases.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.35-39
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• 2020

DNN error is small compared to the conventional speech recognition system, DNN is difficult to parallel training, often the amount of calculations, and requires a large amount of data obtained. In this paper, we generate a phoneme unit to estimate the GMM parameters with each phoneme model parameters from the GMM to solve the problem efficiently. And it suggests ways to improve performance through clustering for a specific vocabulary to effectively apply them. To this end, using three types of word speech database was to have a DB build vocabulary model, the noise processing to extract feature with Warner filters were used in the speech recognition experiments. Results using the proposed method showed a 97.9% recognition rate in speech recognition. In this paper, additional studies are needed to improve the problems of improved over fitting.

• YAKHAK HOEJI
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• v.57 no.4
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• pp.289-292
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• 2013

A total of 2,080 forensic autopsies in Seoul, Incheon and Gyeonggi province were performed by the National Forensic Service (NFS) in 2010. After analysing blood samples collected at autopsies by GC-MS and LC-MS/MS, the types and prevalence of drugs and poisons in blood were investigated using our laboratory information management system. Among 2,080 cases, 1,061 cases (51%) were positive for drugs and poisons. Surprisingly, antidepressants were identified in 137 cases which comprised 13% of the positive cases. Twelve different kinds of antidepressants were determined: Amitriptyline, fluoxetine, nortriptyline, trazodone, imipramine, mirtazapine, citalopram, venlafaxin, clomipramine, paroxetine, sertraline and bupropion. Amitriptyline was the most frequently detected antidepressant and was identified in 39 cases. Moreover, amitriptyline, fluoxetine, and nortriptyline were included in the list of the 20 most commonly encountered drugs or poisons in the analysis of blood collected at autopsies from 2007 to 2009, indicating the prevalence of their use. In this study, the 137 antidepressant-related deaths were classified by the mode of death to predict the prevalence of these drugs. As a result, those deaths were divided into four groups based on the cause and mode of death: 56 cases of suicide with fatal concentrations of antidepressant drugs in blood, 6 homicidal cases directly or indirectly related to antidepressants, 59 natural deaths with antidepressants detected in blood and 16 deaths caused by fire or other accidents with antidepressants detected in blood. Because incidents involving antidepressants have been increasing, especially in suicides or homicides, it is necessary for the health authorities and law enforcement administrations to cooperate and share the statistical data for curbing the abuse of antidepressants. This report is expected to provide the reference data related with antidepressants for the investigation of the deaths.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.135-148
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• 2020

Even after successful technology development, there are many cases where commercialization fails due to difficulties in financing in the early stages of commercialization. The purpose of this study is to give practical implications to technology-based founders. At the beginning of commercialization, 7 companies that succeeded in procuring different types of external funds were selected to conduct case analysis. The results are as follow. First, it was confirmed that the excellence of technology is the most important. Second, it was confirmed that they were majors in the relevant technology field or have worked in related fields, and concluded that greater synergy effect can be created by adding the founder's business will and active attitude. Third, even if the company's internal capabilities were insufficient, it was possible to succeed in financing by identifying and utilizing external financial information. Fourth, it is necessary to utilize a linked financial system that receives both loans and investments. Fifth, systematic IR (Investor Relation) should be continued.

• International journal of advanced smart convergence
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• v.7 no.1
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• pp.42-47
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• 2018

Recently, as the demand for limited resources continues to rise and problems of resource depletion rise worldwide, the importance of renewable energy is gradually increasing. In order to solve these problems, various methods such as energy conservation and alternative energy development have been suggested, and biogas, which can utilize the gas produced from biomass as fuel, is also receiving attention as the next generation of innovative renewable energy. New and renewable energy using biogas is an energy production method that is expected to be possible in large scale because it can supply energy with high efficiency in compliance with energy supply method of recycling conventional resources. In order to more efficiently produce and manage these biogas, a biogas plant has emerged. In recent years, a large number of biogas plants have been installed and operated in various locations. Organic wastes corresponding to biogas production resources in a biogas plant exist in a wide variety of types, and each of the incoming raw materials is processed in different processes. Because such a process is required, the case where the biogas plant process is inefficiently operated is continuously occurring, and the economic cost consumed for the operation of the biogas production relative to the generated biogas production is further increased. In order to solve such problems, various attempts such as process analysis and feedback based on the feedstock have been continued but it is a passive method and very limited to operate a medium/large scale biogas plant. In this paper, we propose "CNN-based production yield prediction algorithm for increasing process efficiency of biogas plant" for efficient operation of biogas plant process. Based on CNN-based production yield forecasting, which is one of the deep-leaning technologies, it enables mechanical analysis of the process operation process and provides a solution for optimal process operation due to process-related accumulated data analyzed by the automated process.

• Journal of the Optical Society of Korea
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• v.20 no.5
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• pp.547-556
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• 2016

A fishing lamp is the instrument for attracting distributed fish to a certain place, and is the lighting system mainly used in fishery. In the inshore fishing, most fishing lamps are used for squid and hairtail jigging fishing, and the light source of the fishing lamps mainly used is metal halide with 1.5 KW in electric power consumption. We will analyze the irradiance distribution according to depth because squid is attracted towards light. To analyze irradiance distribution by such fishing lamps, data for seawater Type-II among the seawater types defined in 1976 are applied to East Sea. However, the Type-II data have limitations in analyzing precise seawater transmission characteristics, due to insufficient information on deep seawater. This paper analyzed the irradiance distribution of fishing lamps using the measurement of transmission characteristics in the seawater in East Sea up to 100 m underwater instead of Type-II data, which is not sufficient for transmission. A compensation factor was drawn between the actual measurement data and Type-II data through seawater transmission characteristics simulation.

• Journal of the Korean Society of Safety
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• v.28 no.1
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• pp.158-163
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• 2013

While job stress evaluations are reported in the recent surveys upon the nuclear power plants(NPPs), any significant advance in the types of questionnaires is not currently found. There are limitations to their usefulness as analytic tools for the management of safety resources in NPPs. Data mining(DM) has emerged as one of the key features for data computing and analysis to conduct a survey analysis. There are still limitations to its capability such as dimensionality associated with many survey questions and quality of information. Even though some survey methods may have significant advantages, often these methods do not provide enough evidence of causal relationships and the statistical inferences among a large number of input factors and responses. In order to address these limitations on the data computing and analysis capabilities, we propose an advanced procedure of survey analysis incorporating the DM method into a statistical analysis. The DM method can reduce dimensionality of risk factors, but DM method may not discuss the robustness of solutions, either by considering data preprocesses for outliers and missing values, or by considering uncontrollable noise factors. We propose three steps to address these limitations. The first step shows data mining with response surface method(RSM), to deal with specific situations by creating a new method called response surface data mining(RSDM). The second step follows the RSDM with detailed statistical relationships between the risk factors and the response of interest, and shows the demonstration the proposed RSDM can effectively find significant physical, psycho-social, and environmental risk factors by reducing the dimensionality with the process providing detailed statistical inferences. The final step suggest a robust stress management system which effectively manage job stress of the workers in NPPs as a part of a safety resource management using the surrogate variable concept.

• The KIPS Transactions:PartB
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• v.12B no.2 s.98
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• pp.137-142
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• 2005

Since wireless communication cost is relatively expensive, the mobile games using cellular phones or PDAs are mostly played after being downloaded unlike more updated types of phone-to-phone or online games. In particular, the upbringing games, in which garners foster virtual companion animals or vegetables as their avata, have been spotlighted. It is essential to supply variety of items for upbringing avatas. However, due to diverse tastes for avatas and limited storage of mobile terminals, game manias must download their desired items from homepages. In addition, game developers must inform users through SMS messages whenever a new item is created. To do so, they must link WEB server and WAP server to Call Back URL or ARS. This paper proposed a linkage method suitable for JAVA-based mobile phone operating system. The proposed method will consequently increase life cycle of a game and reinforce profitability.

• Journal of the Korean Institute of Landscape Architecture International Edition
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• no.2
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• pp.216-220
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• 2004

Many efforts have been made to improve the management of large-scale green spaces. How to manage large-scale green spaces and their active uses, as well as how to build relationships with local communities have been important issues. For this research, I reviewed the actual status of management, use and citizen participation at large-scale regional parks in Hyogo Prefecture. In addition, I studied the sustainable management through citizen participation of the Awaji Island Regional Park, where I have been involved for several years. I conducted various projects related to the use and management of the park, and examined the direction of citizen participation by conducting questionnaires and interviews. (1) Through interviews about the park, I collected opinions, including good points, problems, and potential solutions through physical and programming measures. (2) I examined what kinds of activities should be conducted in the park in order to revitalize park use and stimulate the surrounding communities. (3) I examined the current status of citizen participation while citizens carried out activities of their own planning. (4) I studied what is necessary to sustain park events and other activities. As a result, I came to the following conclusions. (1) Provision of information that is easy to access, including signs in the park, explanation of routes in large parks, and other techniques that help people become familiar with park facilities, is very important. (2) Local community events, and programs that draw out the willingness and capabilities of volunteers are effective. (3) Several different types of participation exist, including volunteers, guests, staff who work continuously for the project, coordinators, and professional specialists. (4) To sustain citizen involvement in the use and management of large-scale parks, a system that includes coordinators should be developed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.247-253
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• 2006

NSW in Australia is famous for beautiful beaches and water activities. There are now almost 450,000 people who hold a NSW power boat driving licence and 200.000 registered boat owners. The popularity of boating continues to grow with licence and registration figures increasing by 3-4 per cent each year. This is a survey about the guide book for boating licence in NSW. This study outlines the essential information such as the types of licence, registration of vessels, choosing the right boat, maintain vessel, safety equipment and preparing for a safe boating trip. In addition, it touches the technical side like boat handling, water traffic rules, navigation markers, emergency and the ways to avoid them. Recently, more and more people are interested in boating. It forms an important part of recreational and tourism activities. To manage these demands effectively and to provide the orderly and safe leisure hours, it is necessary to induce more organizational and serviceable boating licence system.