• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.803-808
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• 2023

The IoT industry is growing at a record growth rate every year, but developers face practical problems such as security, data storage, and heterogeneity between devices before developing an IoT platform. In particular, heterogeneity between devices occurs due to network type and protocol, and device firmware must be changed or multiple IoT platforms must be used in some cases. In addition, data is wasted due to redundant sensing due to the overflow of indiscriminate IoT devices. In this paper, we propose a device-independent firmware design to solve the heterogeneity between devices in the IoT platform environment where Local WAS uses the MQTT protocol.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.229-234
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• 2015

Depending on the living styles, the types of energy consumed by households have changed, and the consumption has increased rapidly. Consequently, those have led to environmental issues, such as exhaustion of energy and the climate changes. As one of solutions to such issues, energy efficiency can be approached. Therefore, in this study, the gas water heater(115S type Rheem products) that made in Germany and obtain hot water using gas as a heat source is selected. a $1.0m^3$ water tank with a 6kW electronic heater is installed and a water temperature and pressure is maintain constantly also thermometer is injected. Two of gas meter, one of pressure regulator and three of time measurement devices are installed in a combustion facility and fuelling facility with a magnet valve so it can observe and record combustion reactions. Quantity of hot water that heated by boiler is recorded using a quantity measurement tank, and have been heated by the boiler have been to record and measure the amount and utilized the data acquired through measurement of all factors that are applied to acquire hot water in order to calculate the use rate of final energy. In conclusion, this researcher drew the economic strong points of the hot water generated by gas.

• Journal of information and communication convergence engineering
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• v.17 no.2
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• pp.91-96
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• 2019

In this study, a system to increase the expressiveness of existing standard terminology using three-dimensional (3D) data is designed. We analyze the existing medical terminology system by searching the reference literature and perform an expert group focus survey. A human body image is generated using a 3D modeling tool. Then, the anatomical position of the human body is mapped to the 3D coordinates' identification (ID) and metadata. We define the term to represent the 3D human body position in a total of 12 categories, including semantic terminology entity and semantic disorder. The Blender and 3ds Max programs are used to create the 3D model from medical imaging data. The generated 3D human body model is expressed by the ID of the coordinate type (x, y, and z axes) based on the anatomical position and mapped to the semantic entity including the meaning. We propose a system of standard terminology enabling integration and utilization of the 3D human body model, coordinates (ID), and metadata. In the future, through cooperation with the Electronic Health Record system, we will contribute to clinical research to generate higher-quality big data.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.12
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• pp.1819-1824
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• 2013

This study tried to explore the determinants of health of the youth in Korea. Especially, it explored how the socio demographic characteristics and delinquent behaviors factors of the Korean youth affect their health. This study used the 2009 Korean Youth Health Risk Behavior On-line Survey for this purpose. It selected 35,668 cases of senior high school students from the raw data and conducted a secondary data analysis. This study conducted frequency analysis, t-test, F-test, and regression analysis. Gender, living with parents, economic status, school type, academic record, internet addiction, problem drinking, drug use were significantly determinants of the health of the youth. Findings may be used for improving health of the Korean youth.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.6
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• pp.971-977
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• 2013

This study tried to investigate the relationships between demographic characteristics and delinquent behaviors factors of the Korean high school students and their level of stress. The 2009 Korean Youth Health Risk Behavior On-line Survey data was used for this study. It selected 35,668 cases of senior high school students from the raw dataset and conducted a secondary data analysis. Frequency analysis, t-test, F-test were conducted for this study. Gender, living with parents, economic status, school type, grade, academic record, internet addiction, problem drinking, smoking were significantly associated with their level of stress. Findings may be used for coping with stress among the Korean senior high school students.

• The Korean Journal of Archival Studies
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• no.75
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• pp.41-89
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• 2023

Since the enactment of the Act on the Management of Presidential Archives in 2007, the cases of electronic records transfer in the 16th President Roh Moo-hyun's administration have played the role of an advance guard in managing public records and served as a test bed for new electronic records management. When transferring the electronic records of the 19th President Moon Jae-in's administration, the electronic records transfer method of President Roh's administration was inherited, while several innovative attempts were made. For instance, the Presidential Archives have for the first time converted the electronic documents from institutions advising the President into a long-term preservation package and transferred them online. In addition, considering the characteristics of the data, the administrative information dataset of the Presidential record creation institutions was transferred to the SIARD standard. Furthermore, the Presidential Archives had websites transferred in the form of OVF as a pilot test and collected social media directly through the API. Thus this study investigated the transition process of the presidential electronic records transfers from the 16th President Roh Moo-hyun's administration to the 19th President Moon Jae-in's. In addition, major achievements and issues were analyzed centering on the transfer method by type of electronic records during President Moon Jae-in's administration, and future improvement plans were presented.

• Journal of Korean Society of Archives and Records Management
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• v.10 no.1
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• pp.169-197
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• 2010

The purpose of this study is to propose a different classification method for keeping a record of cases. After proving that criminal case files should be counted as one type of case files, based on their characteristics and characteristics, this research analyzes the current process of criminal case filling at Public Prosecutor's Office to point out some problems. This study suggests a new classification system: at first, each case gets classified based on a case: secondary, the data gets further assorted by the chronological procedures. The classification approach, which is adopted from MoReq 2's Workflow method, is more adjustable to the new electronic filing system.

• Journal of Sasang Constitutional Medicine
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• v.30 no.4
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• pp.33-52
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• 2018

Objectives The purpose of this study was to analyze the clinical characteristics of patients with hyperhidrosis who visited a Korean medicine hospital, and provide information on treated hyperhidrosis, based on Sasang Constitutional medicine. Methods A retrospective review was made of the electronic medical record (EMR) charts for 157 Korean patients with hyperhidrosis (90 male, 67 female), who first visited hospital from January 1, 2013 to December 31, 2017. The following information was collected: sex, age, height, weight, body mass index (BMI) and clinical data (diagnosis, area of onset, duration of illness, aggravating factors, medication, healing process, et al). Results There were many patients with hyperhidrosis, in the other of So-Yang type (57.3%), Tae-Eum type (35.0%) and So-Eum type (7.6%). The proportion of male was higher than female. The most common area of hyperhidrosis was hands and feet (44.0%), followed by generalized whole body (27.4%) and head and face (25.5%). The cure rate of hyperhidrosis was 32.2%, and effectiveness rate of that was 72.7%. In individual patients, the better the usual health condition expressed by original symptoms, the higher the possibility of treatment success, with shortened duration of treatment and reduced total drug dose. The most frequent treatment modality in patients was that consistently improved, and this duration of treatment was statistically significantly shorter than that experienced worsening of excessive sweating during treatment period (p<0.001). Conclusions This study provides some original information on the Korean patients with hyperhidrosis, and suggests the suitability of Sasang Constitutional medicine as treatment methods for hyperhidrosis.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.2
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• pp.139-160
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• 2020

Since the Public Records Management Act was enacted in 2007, the administrative information system has already been included in the electronic records production system, and dataset has been subject to record management as a type of electronic records. With the recent revision of the enforcement decree, dataset records management has been enacted. This study analyzes business units related to administrative information systems of public institutions and examines the current status of retention periods estimation. For this purpose, we collected 36 records classification systems from 49 public institutions among the direct management agencies of the National Archives and disaster management agencies. And we discriminated 824 business units related to administrative information system and divided into large and small groups according to types. We also compared the retention period estimation of records. The problems and improvement plans of this study are expected to be used as basic data in preparing the standard of administrative dataset management in the future.

• Korean Journal of Biological Psychiatry
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• v.27 no.1
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• pp.18-26
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• 2020

Objectives The aim was to find effective vectorization and classification models to predict a psychiatric diagnosis from text-based medical records. Methods Electronic medical records (n = 494) of present illness were collected retrospectively in inpatient admission notes with three diagnoses of major depressive disorder, type 1 bipolar disorder, and schizophrenia. Data were split into 400 training data and 94 independent validation data. Data were vectorized by two different models such as term frequency-inverse document frequency (TF-IDF) and Doc2vec. Machine learning models for classification including stochastic gradient descent, logistic regression, support vector classification, and deep learning (DL) were applied to predict three psychiatric diagnoses. Five-fold cross-validation was used to find an effective model. Metrics such as accuracy, precision, recall, and F1-score were measured for comparison between the models. Results Five-fold cross-validation in training data showed DL model with Doc2vec was the most effective model to predict the diagnosis (accuracy = 0.87, F1-score = 0.87). However, these metrics have been reduced in independent test data set with final working DL models (accuracy = 0.79, F1-score = 0.79), while the model of logistic regression and support vector machine with Doc2vec showed slightly better performance (accuracy = 0.80, F1-score = 0.80) than the DL models with Doc2vec and others with TF-IDF. Conclusions The current results suggest that the vectorization may have more impact on the performance of classification than the machine learning model. However, data set had a number of limitations including small sample size, imbalance among the category, and its generalizability. With this regard, the need for research with multi-sites and large samples is suggested to improve the machine learning models.