• Journal of the Korean institute of surface engineering
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• v.49 no.1
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• pp.92-97
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• 2016

The plasma has been used in various industrial fields of semiconductors, displays, transparent electrode and so on. Plasma diagnostics is critical to the uniform process and the product. We use the electron temperature of the various plasma parameters for the diagnosis of plasma. Generally, the range of the electron temperature which is used in a semiconductor process used the range of 1 eV to 10 eV. The difference of electron temperature of 0.5 eV has a influence in plasma process. The electron temperature can be measured by the electrical method and the optical method. Measurement of electron temperature for various gas flow rates was performed in DC-magnetron sputter and Inductively Coupled Plasma. The physical properties of the thin film were also determined by changing electron temperatures. The transmittance was measured using the integrating sphere, and wavelength range was measured at 300 ~ 1100 nm. We obtain the thin film of the mobility, resistivity and carrier concentration using the hall measurement system. As to the electron temperature increase, optical and electrical properties decrease. We determine it was influenced by the oxygen flow ratio and plasma.

• Journal of the Semiconductor & Display Technology
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• v.20 no.4
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• pp.161-166
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• 2021

Errors in the semiconductor process are generated by a change in the state of the equipment, and errors usually arise when the state of the equipment changes or when parts that make up the equipment have flaws. In this investigation, we anticipated that aging of the mass flow controller in the plasma enhanced chemical vapor deposition SiO2 thin film deposition method caused a minute flow rate shift. In seven cases, fourier transformation infrared film quality analysis of the deposited thin film was used to characterize normal and pathological processes. The plasma condition was monitored using optical emission spectrometry data as the flow rate changed during the procedure. Preprocessing was used to apply the collected OES data to the artificial immune system algorithm, which was then used to process diagnosis. Through comparisons between datasets, the learning algorithm compared classification accuracy and improved the method. It has been confirmed that data characterized as a normal process and abnormal processes with differing flow rates may be discriminated by themselves using the artificial immune system data mining method.

• Journal of Microbiology and Biotechnology
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• v.25 no.10
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• pp.1714-1727
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• 2015

This work describes a new strategy for optimal design of Multiplex-PCR primer sequences. The process is based on the Particle Swarm Optimization-Simplex algorithm (Mult-PSOS). Diverging from previous solutions centered on heuristic tools, the Mult-PSOS is selfconfigured because it does not require the definition of the algorithm's initial search parameters. The successful performance of this method was validated in vitro using Multiplex-PCR assays. For this validation, seven gene sequences of the most prevalent bacteria implicated in urinary tract infections were taken as DNA targets. The in vitro tests confirmed the good performance of the Mult-PSOS, with respect to infectious disease diagnosis, in the rapid and efficient selection of the optimal oligonucleotide sequences for Multiplex-PCRs. The predicted sequences allowed the adequate amplification of all amplicons in a single step (with the correct amount of DNA template and primers), reducing significantly the need for trial and error experiments. In addition, owing to its independence from the initial selection of the heuristic constants, the Mult-PSOS can be employed by non-expert users in computational techniques or in primer design problems.

• Journal of Drive and Control
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• v.20 no.4
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• pp.17-26
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• 2023

A forklift is an industrial vehicle that lifts or transports heavy objects using a hydraulically operated fork, and is equipped with an automatic transmission for the convenience of repetitive transportation, loading, and unloading work. The Transmission Control Unit (TCU) is a key component in charge of the shift control function of an automatic transmission. It consists of an electric circuit with an input/output signal interface function and firmware running on a microcontroller. To develop TCU firmware, the development process of shifting algorithm design, firmware programming, verification test, and performance improvement must be repeated. A simulator is a device that simulates a mechanical system having dynamic characteristics in real time and simulates various sensor signals installed in the system. The embedded transmission simulator is a simulator that is embedded in the TCU firmware. information related to the mechanical system that is necessary for TCU normal operation. In this study, an embedded transmission simulator applied to the originally developed forklift TCU firmware was designed and used to verify various forklift shift control algorithms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4863-4872
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• 2010

This study examined the disease conditions of patients from a farming and fishing village area. In order to analyze the medical service utilization, the necessary data were obtained from established health and medical care service plans from medical treatment related organizations. The following results were based on the analysis of data from the medical records of 2,365 discharged patients during a six months period from July to December 2009 at a general hospital in an aging farming and fishing village area. Results: The sex of the patients investigated was male 55.3%, female 44.7%, and the most frequent age category at 42.0% was 70 years of age or older. Based on type of hospital admission, 65.5% of patients who were admitted were originally outpatients. Patients were admitted according to the following departments: 49.7% for the department of internal medicine, 16.7% for the department of orthopedics, and 13.8% for the department of neurosurgery. The average number of days hospitalized was 14.8 days. The following ranks the principal diagnosis among patients in this study: S00-T98 18.4%, J00-J99 15.5%, and I00-I99 11.5%. The average number of diagnosis listed per patient was 5.6. There was a statistically significant difference for the following general characteristics according to principal diagnosis list: gender, type of insurance, admission process, and age category distribution had statistically significant differences. Monthly distribution of principal diagnoses were statistically significant difference. There was a statistically significant difference for principal diagnosis lists according to the average number of days admitted and the number of diagnosis. The results of this study showed the types of disease from typical farming and fishing village regions as disease from external injury due to the work environment of farming and fishing village regions and excessive labor throughout the year, respiratory disease, and various chronic disease from aging.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.5
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• pp.1210-1217
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• 2008

Sasang medicine is our country's unique traditional medicine based on the classification of individual physical constitution. In the Sasang medicine, what is considered the most important task is to categorize Sasang constitution exactly. Therefore, security of objective elements and diagnosis index is a problem awaiting solution in Sasang constitution classification. To this the paper abstracted result value from objectification, visualization, a fixed quantity of Sasang constitution to analyze face image signals and voice signals. And, comparing the differences constitution would like to develop system classification of Sasang constitution. Specially, image and voice signals are different because of gender, age, region so it composed Sasang constitution group to 40-50 years women in Seoul. To extract of these image and voice signals wanted to perform comparison, analysis in constitution. Finally, it would like to prove a significance of research result through experiment.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.6
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• pp.95-105
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• 2017

The Purpose of This Study is to Develop a Checklist Model of Evaluation Diagnosis to Increase the Competitiveness of SMEs in Local Governments. The Evaluation Diagnostic Check Sheet Development Procedure Proceeded in the Order of Preliminary Investigation (Major Company Survey, Analysis of Characteristics of the Industry, Selection of Core Functions, etc.), Research and Development (Development of Core Function Check Sheet, Development of Core Function Improvement Tools). The Evaluation Model is divided into Five Categories (Vision and Strategy System, Quality Assurance and Product Safety, Field Management Level, Statistical Process Control, Improvement Activities), and 1) Recognition, 2) System, 3) Operation, 4) Review and Supplement. This Evaluation Model is expected to Contribute to the Selection of the Mainstream SMEs among the Companies Scattered within the Local Autonomous Entities, thereby Enhancing the Competitiveness of SMEs.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.1-9
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• 2021

Children's drawings are widely used in the diagnosis of children's psychology as a means of expressing inner feelings. This paper proposes a children's drawings-based object detection algorithm applicable to children's psychology analysis. First, the sketch area from the picture was extracted and the data labeling process was also performed. Then, we trained and evaluated a Faster R-CNN based object detection model using the labeled datasets. Based on the detection results, information about the drawing's area, position, or color histogram is calculated to analyze primitive information about the drawings quickly and easily. The results of this paper show that Artificial Intelligence-based object detection algorithms were helpful in terms of psychological analysis using children's drawings.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.480-488
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• 2018

The development of information and communication technology has been carried out actively in the field of agriculture to generate valuable information from large amounts of data and apply big data technology to utilize it. Crops and their varieties are determined by the influence of the natural environment such as temperature, precipitation, and sunshine hours. This paper derives the climatic factors affecting the production of crops using the garlic growth process and daily meteorological variables. A prediction model was also developed for the production of garlic per unit area. A big data analysis technique considering the growth stage of garlic was used. In the exploratory data analysis process, various agricultural production data, such as the production volume, wholesale market load, and growth data were provided from the National Statistical Office, the Rural Development Administration, and Korea Rural Economic Institute. Various meteorological data, such as AWS, ASOS, and special status data, were collected and utilized from the Korea Meteorological Agency. The correlation analysis process was designed by comparing the prediction power of the models and fitness of models derived from the variable selection, candidate model derivation, model diagnosis, and scenario prediction. Numerous weather factor variables were selected as descriptive variables by factor analysis to reduce the dimensions. Using this method, it was possible to effectively control the multicollinearity and low degree of freedom that can occur in regression analysis and improve the fitness and predictive power of regression analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.5
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• pp.1126-1132
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• 2009

We carried out this study to reduce the gaps between medical institutes and between medical personnels and help to improve medical service quality, by classifying diagnoses and related intervention through the development of standard nursing intervention and by computerizing protocols. We considered two processes: one is the development process of home nursing standard intervention, and the other is the process of computerizing its related protocols. For the former, research covered analysis of home health care practices, development of client assessment protocol, of patients diagnosis protocols, and of patients intervention protocol. For the latter, strategies for home health care information systems should be set up and it constituted four research contents of analysis, design, management and evaluation of the systems. We also trained and educated home nurses who work at home health service center, by making them use the manual of home health care information systems at a certain city of P. In this study, therefore, we developed elements of standard home health care mediation so that they could be included in the forms of home health information note, home health progress note, and home health progress summary, home health discharge summary. Because standard home health care intervention has been developed, it became easier to exchange information between different home heath service center offices, can prevent from missing or redundant information, and contribute to standardization of hospital terminologies when EMR and HMR are developed.