• Korean Journal of Soil Science and Fertilizer
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• v.43 no.2
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• pp.230-236
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• 2010

Jeju Island is a volanic island which is located about 96 km south of Korean Peninsula. Volcanic ejecta, and volcaniclastic materials are widespread as soil parent materials throughout the island. Soils on the island have the characteristics of typical volcanic ash soils. This study was conducted to reclassify Jeju series based on the second edition of Soil Taxonomy and to discuss the formation of Jeju series in Jeju Island. Morphological properties of typifying pedon of Jeju series were investigated, and physico-chemical properties were analyzed according to Soil survey laboratory methods manual. The typifying pedon has dark brown (10YR 3/3) silt clay loam A horizon (0~22 cm), strong brown (7.5YR 4/6) silty clay BAt horizon (22~43 cm), brown (7.5YR 4/4) silty clay Bt1 horizon (43~80 cm), brown (7.5YR 4/6) silty clay loamBt2 horizon (80~105 cm), and brown (10YR 5/4) silty clay loam Bt3 horizon (105~150 cm). It is developed in elevated lava plain, and are derived from basalt, and pyroclastic materials. The typifying pedon contains 1.3~2.1% oxalate extractable (Al + 1/2 Fe), less than 85%phosphate retention, and higher bulk density than 0.90 Mg $m^{-3}$. That can not be classified as Andisol. But it has an argillic horizon from a depth of 22 to 150 cm, and a base saturation (sum of cations) of less than 35% at 125 cm below the upper boundary of the argillic horizon. That can be classified as Ultisol, not as Andisol. Its has 0.9% or more organic carbon in the upper 15 cm of the argillic horizon, and can be classified as Humult. It dose not have fragipan, kandic horizon, sombric horizon, plinthite, etc. in the given depths, and key out as Haplohumult. A hoizon (0~22 cm) has a fine-earth fraction with both a bulk density of 1.0 Mg $cm^{-3}$ or less, and Al plus 1/2 Fe percentages (by ammonium oxalate) totaling more than 1.0. Thus, it keys out as Andic Haplohumult. It has 35% or more clay at the particle-size control section, and has thermic soil temperature regime. Jeju series can be classified as fine, mixed, themic family of Andic Haplohumults, not as ashy, thermic family of Typic Hapludands. In the western, and northern coastal areas which have a relatively dry climate in Jeju Island, non Andisols are widely distributed. Mean annual precipitation increase 110 mm, and mean annual temperature decrease $0.8^{\circ}C$ with increasing elevation of 100m. In the western, and northern mid-mountaineous areas Andisols, and non Andisols are distributed simultaneously. Jeju series distributed mainly in the western and northern mid-mountaineous areas are developed as Ultisols with Andic subgroup.

• Journal of radiological science and technology
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• v.32 no.3
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• pp.335-341
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• 2009

Purpose : The medical imaging issuance is changed from conventional film method to Digital Compact Disk solution because of development on IT technology. However other medical record department's are undergoing identification check through and through whereas medical imaging department cannot afford to do that. So, we examine present applicant's recognition of private intelligence safeguard, and medical imaging issuance condition by CD & DVD medium toward various medical facility and then perform comparative analysis associated with domestic and foreign law & recommendation, lastly suggest standard for medical imaging issuance and process relate with internal environment. Materials and methods : First, we surveyed issuance process & required documents when situation of medical image issuance in the metropolitan medical facility by wire telephone between 2008.6.1$\sim$2008.7.1. in accordance with the medical law Article 21$\sim$clause 2, suggested standard through applicant's required documents occasionally - (1) in the event of oneself $\rightarrow$ verifying identification, (2) in the event of family $\rightarrow$ verifying applicant identification & family relations document (health insurance card, attested copy, and so on), (3) third person or representative $\rightarrow$ verifying applicant identification & letter of attorney & certificate of one's seal impression. Second, also checked required documents of applicant in accordance with upper standard when situation of medical image issuance in Kyung-hee university medical center during 3 month 2008.5.1$\sim$2008.7.31. Third, developed a work process by triangular position of issuance procedure for situation when verifying required documents & management of unpreparedness. Result : Look all over the our manufactured output in the hospital - satisfy the all conditions $\rightarrow$ 4 place(12%), possibly request everyone $\rightarrow$ 4 place(12%), and apply in the clinic section $\rightarrow$ 9 place(27%) that does not medical imaging issuance office, so we don't know about required documents condition. and look into whether meet or not the applicant's required documents on upper 3month survey - satisfy the all conditions $\rightarrow$ 629 case(49%), prepare a one part $\rightarrow$ 416 case(33%), insufficiency of all document $\rightarrow$ 226case(18%). On the authority of upper research result, we are establishing the service model mapping for objective reception when image export situation through triangular position of issuance procedure and reduce of friction with patient and promote the patient convenience. Conclusion : The PACS is classified under medical machinery that mean indicates about higher importance of medical information therefore medical information administrator's who already received professional education & mind, are performer about issuance process only and also have to provide under ID checking process exhaustively.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.107-118
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• 2016

The advent of 5G mobile communications, which is expected in 2020, will provide many services such as Internet of Things (IoT) and vehicle-to-infra/vehicle/nomadic (V2X) communication. There are many requirements to realizing these services: reduced latency, high data rate and reliability, and real-time service. In particular, a high level of reliability and delay sensitivity with an increased data rate are very important for M2M, IoT, and Factory 4.0. Around the world, 5G standardization organizations have considered these services and grouped them to finally derive the technical requirements and service scenarios. The first scenario is broadcast services that use a high data rate for multiple cases of sporting events or emergencies. The second scenario is as support for e-Health, car reliability, etc.; the third scenario is related to VR games with delay sensitivity and real-time techniques. Recently, these groups have been forming agreements on the requirements for such scenarios and the target level. Various techniques are being studied to satisfy such requirements and are being discussed in the context of software-defined networking (SDN) as the next-generation network architecture. SDN is being used to standardize ONF and basically refers to a structure that separates signals for the control plane from the packets for the data plane. One of the best examples for low latency and high reliability is an intelligent traffic system (ITS) using V2X. Because a car passes a small cell of the 5G network very rapidly, the messages to be delivered in the event of an emergency have to be transported in a very short time. This is a typical example requiring high delay sensitivity. 5G has to support a high reliability and delay sensitivity requirements for V2X in the field of traffic control. For these reasons, V2X is a major application of critical delay. V2X (vehicle-to-infra/vehicle/nomadic) represents all types of communication methods applicable to road and vehicles. It refers to a connected or networked vehicle. V2X can be divided into three kinds of communications. First is the communication between a vehicle and infrastructure (vehicle-to-infrastructure; V2I). Second is the communication between a vehicle and another vehicle (vehicle-to-vehicle; V2V). Third is the communication between a vehicle and mobile equipment (vehicle-to-nomadic devices; V2N). This will be added in the future in various fields. Because the SDN structure is under consideration as the next-generation network architecture, the SDN architecture is significant. However, the centralized architecture of SDN can be considered as an unfavorable structure for delay-sensitive services because a centralized architecture is needed to communicate with many nodes and provide processing power. Therefore, in the case of emergency V2X communications, delay-related control functions require a tree supporting structure. For such a scenario, the architecture of the network processing the vehicle information is a major variable affecting delay. Because it is difficult to meet the desired level of delay sensitivity with a typical fully centralized SDN structure, research on the optimal size of an SDN for processing information is needed. This study examined the SDN architecture considering the V2X emergency delay requirements of a 5G network in the worst-case scenario and performed a system-level simulation on the speed of the car, radius, and cell tier to derive a range of cells for information transfer in SDN network. In the simulation, because 5G provides a sufficiently high data rate, the information for neighboring vehicle support to the car was assumed to be without errors. Furthermore, the 5G small cell was assumed to have a cell radius of 50-100 m, and the maximum speed of the vehicle was considered to be 30-200 km/h in order to examine the network architecture to minimize the delay.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.1-25
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• 2020

In this paper, we suggest an application system architecture which provides accurate, fast and efficient automatic gasometer reading function. The system captures gasometer image using mobile device camera, transmits the image to a cloud server on top of private LTE network, and analyzes the image to extract character information of device ID and gas usage amount by selective optical character recognition based on deep learning technology. In general, there are many types of character in an image and optical character recognition technology extracts all character information in an image. But some applications need to ignore non-of-interest types of character and only have to focus on some specific types of characters. For an example of the application, automatic gasometer reading system only need to extract device ID and gas usage amount character information from gasometer images to send bill to users. Non-of-interest character strings, such as device type, manufacturer, manufacturing date, specification and etc., are not valuable information to the application. Thus, the application have to analyze point of interest region and specific types of characters to extract valuable information only. We adopted CNN (Convolutional Neural Network) based object detection and CRNN (Convolutional Recurrent Neural Network) technology for selective optical character recognition which only analyze point of interest region for selective character information extraction. We build up 3 neural networks for the application system. The first is a convolutional neural network which detects point of interest region of gas usage amount and device ID information character strings, the second is another convolutional neural network which transforms spatial information of point of interest region to spatial sequential feature vectors, and the third is bi-directional long short term memory network which converts spatial sequential information to character strings using time-series analysis mapping from feature vectors to character strings. In this research, point of interest character strings are device ID and gas usage amount. Device ID consists of 12 arabic character strings and gas usage amount consists of 4 ~ 5 arabic character strings. All system components are implemented in Amazon Web Service Cloud with Intel Zeon E5-2686 v4 CPU and NVidia TESLA V100 GPU. The system architecture adopts master-lave processing structure for efficient and fast parallel processing coping with about 700,000 requests per day. Mobile device captures gasometer image and transmits to master process in AWS cloud. Master process runs on Intel Zeon CPU and pushes reading request from mobile device to an input queue with FIFO (First In First Out) structure. Slave process consists of 3 types of deep neural networks which conduct character recognition process and runs on NVidia GPU module. Slave process is always polling the input queue to get recognition request. If there are some requests from master process in the input queue, slave process converts the image in the input queue to device ID character string, gas usage amount character string and position information of the strings, returns the information to output queue, and switch to idle mode to poll the input queue. Master process gets final information form the output queue and delivers the information to the mobile device. We used total 27,120 gasometer images for training, validation and testing of 3 types of deep neural network. 22,985 images were used for training and validation, 4,135 images were used for testing. We randomly splitted 22,985 images with 8:2 ratio for training and validation respectively for each training epoch. 4,135 test image were categorized into 5 types (Normal, noise, reflex, scale and slant). Normal data is clean image data, noise means image with noise signal, relfex means image with light reflection in gasometer region, scale means images with small object size due to long-distance capturing and slant means images which is not horizontally flat. Final character string recognition accuracies for device ID and gas usage amount of normal data are 0.960 and 0.864 respectively.

• Korean journal of food and cookery science
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• v.17 no.6
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• pp.542-548
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• 2001

Hazard Analysis Critical Control Point(HACCP) is becoming an important component of food safety worldwide. The aim of this study was to investigate comprehensively the education and knowledge level of food service managers on HACCP as well as applying HACCP system to industrial foodservice. Total 247 foodservice managers participated in the survey and 159 responses were used for analysis. The results were as follows: 1) 89% of foodservice managers were educated about HACCP, and 40.9% felt they did fully understand HACCP and 47.8% did half. 2) The score for the implementation of HACCP was in the order of apparatus and facility sanitation, personal sanitation, and time-temperature/etc. sanitation. 3) Foodservice managers who were taught HACCP kept a deep attention to food and personal sanitation, compared with those without education(p＜0.05). However, the education time on HACCP affected conducting safety management. The results suggest that education and understanding of HACCP are positively related, and understanding of HACCP has a positive influence on conducting safety management.

• Korean Journal of Environmental Agriculture
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• v.29 no.1
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• pp.20-26
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• 2010

This study was conducted to reclassify Donggui series based on the second edition of Soil Taxonomy and to discuss the formation of Donggui series in Jeju Island. Morphological properties of typifying pedon of Donggui series were investigated and physico-chemical properties were analyzed according to Soil survey laboratory methods manual. The typifying pedon has very dark grayish brown (10YR 3/2) silt loam A horizon (0~17 cm), gravelly very dark grayish brown (10YR 3/2) silt loam BA horizon (17~42 cm), gravelly very dark grayish brown (10YR 3/2) silty clay loam Bt1 horizon (43~80 cm), brown (7.5YR 4/6) silty clay Bt2 horizon (80~105 cm), and brown (10YR 5/4) silty clay Bt3 horizon (105~150 cm). It is developed in lava plain and are derived from basalt and pyroclastic materials. The typifying pedon contains 1.3~2.1% oxalate extractable (Al + 1/2 Fe), less than 85% phosphate retention, and higher bulk density than 0.90 $Mg/m^3$. That can not be classified as Andisol. But it has an argillic horizon from a depth of 22 to 150 cm and a base saturation (sum of cations) of less than 35% at 125 cm below the upper boundary of the argillic horizon. That can be classified as Ultisol, not as Andisol and Inceptisol. It has udic soil moisture regime, and can be classified as Udalf. Also that meets the requirements of Typic Hapludalf. It has 18-35% clay at the particle-size control section, and have thermic soil temperature regime. Therefore Donggui series can be classified as fine loamy, mixed, thermic family of Typic Hapludalfs, not as fine silty, mixed, thermic family of Dystric Eutrudepts.

• Journal of dental hygiene science
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• v.11 no.2
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• pp.99-105
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• 2011

In this study a survey was conducted with 431 students at the department of dental hygiene in three regions from April 2010 to investigate various actual states and levels of perception of their major commitment. Department-Climate and levels of major commitment were classified and described through cross-tabulation analysis; multinomial logistic regression analysis was used to predict the level of major commitment perceived for department climate and identify its influence. Major commitment classified into three levels about Inferiority, Normality and Superiority. Recognition factor of Major field was divided into external factor, eternal factor. External factor classified into professor, friends, facilities, administration-service and quality of education. As well as, eternal factor was department climate. Eternal factor consisted of relationship dimensions, goal-orientation dimensions, system maintenance dimensions and system change dimensions. This study was conducted to get a phenomenal understanding of students' learning in the major field and their school life. With this study, if friends and professor raise students at the Department of Dental Hygiene's department-climate recognition, their major-commitment will rise. And high major-commitment will be bring about their professional ability.

• Journal of dental hygiene science
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• v.11 no.3
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• pp.243-249
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• 2011

Under the goal of investigating relations between emotional labor and sleep health according to the personality types of dental hygienists, who provide high quality medical service at dental clinics, this study surveyed 220 dental hygienists in Gumi city from July 2 to 21, 2010. The surveyed dental hygienists scored average 2.75 in emotional labor, which means their emotional labor was higher than average. Their emotional labor was in statistically significant relations with such general characteristics as educational background, place of work, salary, and drinking(p<0.05). The means of their emotional labor in six items were analyzed according to the personality types. As a result, personality type A had higher means in emotional labor than personality type B with statistical significance(p<0.05). The more stress they had from emotional labor, the worse their sleep health became. As for the relations between emotional labor and sleep health according to the personality types, the bad sleep health group accounted for 88.1% and recorded 2.85 mean scores in emotional labor, which was statistically significant(p<0.05), in personality type A. The regression analysis results of emotional labor in personality type A and sleep health indicate that the more emotional labor in personality type A they had, the worse their sleep health became. As for causality between personality type A and emotional labor, "difficulty with sleeping," "a feeling of lack of sleep when waking up," and "taking sleeping pills" had significant influences on the emotional labor of personality type A. Dental hygienist who owns the characteristics of personality type A, the more emotional labor, emotional stress of personality type A labor is high and unhealthy sleep affects the results were derived.

• Journal of dental hygiene science
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• v.10 no.1
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• pp.39-44
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• 2010

The purpose of this study is to cover dental hygienists who work for metropolitan dental hospitals or clinics in Seoul city, Incheon city and Gyeonggi province from January to April 2009 and profile their awareness of Long-term Senior Care Insurance System (hereinafter called 'LSCI (System)', so that it may provide material reference data to contribute to expanding and establishing oral health medical services in the framework of LSCI System. As a result, this study could come to the following conclusions: 1. It was found that the highest priority of dental hygienists' visiting oral hygienic services under LSCI System was focused on 'caring and preventive treatment', and their secondary priority was focused upon 'oral health education.' 2. In response to a question item about whether dental hygienists need dentist's prescription in written before performing their visiting oral hygienic services, it was found that 38.2% dental hygienists answered 'Yes (necessary)' and 61.8% answered 'No (unnecessary).' 3. In response to a question item about whether dental hygienists may open up long-term senior care center, it was found that absolute majority of dental hygienists (93.4%) answered 'No' and only 6.6% dental hygienists answered 'Yes.' The standardized professional education are thought to be needed to be developed aiming at the success in oral-hygiene service within a LSCI, by strengthening professionalism in dental hygienists.

• Journal of dental hygiene science
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• v.2 no.1
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• pp.39-45
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• 2002

Our study shows the following results of the patterns and reality of oral health of 862 Government employees and private school employees who had received oral examinations from April to May, 2000. For the exposition of each group to dental service, the male groups(37.4%) were more exposed than the female ones(30.0%, p<0.05), while the scaling experience results indicated that more ages mean more scaling(the over 50 year group 27.1%, 41-50 group 23.9%, 31-40 group 20.5%, 21-30 group 10.8%, p<0.001). The data involving sweet food and refreshments revealed that 'positive respondents' in the male groups were 19.7% with 12.5% positive in the female ones, and 'negative respondents' were 32.3% and 51.0% in the male and female groups respectively(p<0.001). For the oral odor, the male groups(37.9%) are more severe than the female ones(25.5%, p<0.01). The results of dental caries revealed that 19.1% of the male and 13.9% of the female said 'yes'(p<0.05), with 25.1% of the male and 11.1% of the female suffering from missing teeth(p<0.001); 77.4% of the male and 51.0% of the female from periodontal disease (p<0.001).