• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.171-177
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• 2022

In this paper, we propose a service method that can provide insight into multi-source agricultural data, way to cluster environmental factor which supports data analysis according to time flow, and curate crop environmental factors. The proposed curation service consists of four steps: collection, preprocessing, storage, and analysis. First, in the collection step, the service system collects and organizes multi-source agricultural data by using an OpenAPI-based web crawler. Second, in the preprocessing step, the system performs data smoothing to reduce the data measurement errors. Here, we adopt the smoothing method for each type of facility in consideration of the error rate according to facility characteristics such as greenhouses and open fields. Third, in the storage step, an agricultural data integration schema and Hadoop HDFS-based storage structure are proposed for large-scale agricultural data. Finally, in the analysis step, the service system performs DTW-based time series classification in consideration of the characteristics of agricultural digital data. Through the DTW-based classification, the accuracy of prediction results is improved by reflecting the characteristics of time series data without any loss. As a future work, we plan to implement the proposed service method and apply it to the smart farm greenhouse for testing and verification.

• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.23-37
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• 2024

Digital twin is an M&S (Modeling and Simulation) technology designed to solve or optimize problems in the real world by replicating physical objects in the real world as virtual objects in the digital world and predicting phenomena that may occur in the future through simulation. Digital twins have been elaborately designed and utilized based on data collected to achieve specific purposes in large-scale environments such as cities and industrial facilities. In order to apply this digital twin technology to real life and expand it into user-customized service technology, practical but sensitive issues such as personal information protection and personalization of simulations must be resolved. To solve this problem, this paper proposes a federated learning-based accelerated client training method (FACTS) for personalized digital twins. The basic approach is to use a cluster-driven federated learning training procedure to protect personal information while simultaneously selecting a training model similar to the user and training it adaptively. As a result of experiments under various statistically heterogeneous conditions, FACTS was found to be superior to the existing FL method in terms of training speed and resource efficiency.

• Journal of the HCI Society of Korea
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• v.9 no.2
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• pp.5-12
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• 2014

There was widespread criticism of the online news services due to their bias toward sensational and soft news. Thus, news services based on journalist values are socially requested. News source network analysis(NSNA), an algorithm to cluster and weight news sources, quotes, and articles, is suggested as a method to emphasize on journalist values like facts, variety, depth, and criticism in the previous study. This study suggests 'News Sources' as a visualization tool of NSNA. 'News Sources' shows news as bar graphs, weighted by facts and criticism, and arranged by organizations and subjects. This study designed a beta version using KINDS, a news archive of Korean Press Foundation.

• Korean Journal of Environment and Ecology
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• v.17 no.1
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• pp.9-17
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• 2003

To investigate the structure and the conservation strategy of Nature Ecosystem Preservation Area, 65 plots(10m$\times$10m) set up with random sampling method were surveyed. five group -Larix leptolepis Community, Quercus mongolica-Fraxinus rhynchophylla Community, Fraxinus rhynchophylla-Quercus mongolica community. Quercus mongolica-Acer pseudo-sieboldianum community, Quercus mongolica community were classified by cluster analysis. High positive correlations was proved between Quercus mongolica and Sorbus of alnifolia, Acer Mono, Lonicera praeflorens, Sorbus commixta ; Acer mono and Lonicera praeflorens, Sorbus commixta ; Maackia amurensis and Acer triflorum ; Fraxinus rhynchophylla and Betula davurica ; Lonicera praeflorens and Cornus controversa, Sorbus commixta ; Acer triflorum and Rhamnus toshinoi ; Pyrus ussuriensis and Prunus padus ; Cornuscontroversa, and Sorbus commixta, and high negative corrlations was proved between Quercus mongolica and Larix leptolepis, Carpinus cordata ; Tilia amurensis and Larix leptolepis, Morus bombycis. Species diversity(H' ) of investigated groups were ranged 0.4443~1.2036.

• The Korean Journal of Mycology
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• v.25 no.2 s.81
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• pp.121-129
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• 1997

Tricholoma matsutake (TM=T. caligatum var. nauseoum) is, for an agricultural income earned by Forestry by-products, a very important mushroom in Korea. The mycelia isolated from the basidiocarps were compared with basidiocarps of TM by the random amplified polymorphisms of RAPD-DNA bands. The mycelia were confirmed to be originated from the basidiocarps of TM by cluster analyses of the DNA-bands made from RAPDs and Southern blotting with the band (0.75 kb) identified. The mycelia defined were observed to grow very slowly at the rate of 10 cm per month at $25^{\circ}C$ and also to be semi-transparent and submerged in on PDA. The method developed in this work was considered to be very useful for confirming the mycelia originated from the ectomycorrhizal mushrooms and also to be applied for the fungal mycelia isolated from the commercial useful mushrooms.

• Korea Journal of Hospital Management
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• v.17 no.2
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• pp.21-33
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• 2012

Purpose : This study aims to suggest application of patients DB to hospital marketing by performing market segmentation and selecting target market. Consequently help to establish suited strategy of marketing. Method : 14,072 patients hospitalized in a University Medical Center were recruited into this study. In order to classify the customer groups, cluster analysis was used with RFM(Recency, Frequency, Monetary) model, and 1-way ANOVA verified the differences among groups. And then, sociodemographical status, healthcare utilization and diagnosis(ICD-10) of each group were compared to draw a marketing strategy. Results : Four groups were classified through clustering analysis, and'high use and high profit' and'low use and high profit' groups were selected as a target market. The features of target market were as follows, the female proportion was high; used a private room; hospitalized through the emergency room; had operation; length of stay was long; had many comorbidity and cooperative treatment. There was difference in each feature of target market: as for the'high use and high profit' group, many patients were diagnosed with 'certain infectious and parasitic diseases'; and as for the'low use and high profit'group, the proportion of patients who purchased'industrial accident compensation insurance'and'auto insurance'was relatively high; many patients were diagnosed with'Injury, poisoning and certain other consequences of external causes'. Conclusion : It is needed to establish'positioning' strategy by monitoring and communicating with'high use and high profit' group. And for the case of'low use and high profit' group, it is necessary to make a follow-up management and lead them to have a medical check-up.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.201-220
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• 2014

This study examines user satisfaction and information behavior of information commons in the National Digital Library (NDL) of Korea through survey method. It analyzed service quality factors that affect the overall user satisfaction, and users' information behavior according to the physical spaces/facilities in the information commons. User satisfaction factors were developed to measure library satisfaction in all aspects of the eleven physical spaces/facilities of information commons service, and information behavior on eleven physical spaces/facilities in information commons were explored by users' character. According to survey findings, overall level of user satisfaction was maintained highly since the beginning of NDL. In particular, the facility of 'Productivity Computer Cluster' was ranked highest as 83.8 and the 'UCC Studio' was ranked lowest as 70.8 among the eleven facilities in information commons.

• Korean Journal of Veterinary Research
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• v.43 no.2
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• pp.247-253
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• 2003

Actinobacillus pleuropneumoniae causes a highly contagious pleuropneumoniae in swine. The bacterium produces several virulence factors such as exotoxin, LPS, capsular polysaccharide, etc. Among them, the exotoxin, called Apx, has been focused as the major virulence factor, and the toxin consists of 4 gene cluster. apx CABD. apxA is the structural gene of toxin and has four different types, I, II, III, and IV. As the first step of development of a new subunit vaccine, the three different types of apxA gene were amplified from A. pleuropneumoniae isolated from Korea by PCR with primer designed based on the N- and C-terminal of the toxin. The sizes of apxIA, IIA and IIIA were 3,073, 2,971 and 3,159bps, respectively. The comparison of whole DNA sequences of apxIA, IIA and IIIA genes with those of the reference strain demonstrated 98%, 99% and 98% homology, respectively. In addition, the phylogenetic analysis was performed based on the amino acid sequences compared with 12 different RTX toxin family using the neighbor-joining method. ApxA proteins of Korean isolates were identical with reference strains in this study. All ApxA proteins were expressed in E. coli with pQE expression vector and identified using Western blot with polyclonal antibodies against culture supernatants of A. pleuropneumoniae serotype 2 or 5. The sizes of each expressed ApxA protein were about 120, 110, 125 kDa (M.W.), respectively. The results obtained in this study could be used for the future study to develop a new vaccine to porcine pleuropneumoniae.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.11A
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• pp.903-911
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• 2011

In this paper we proposed an energy adaptive data aggregation and transmission mechanism to solve the problem of energy limitation in wireless sensor networks (WSNs). Hierarchical structure methods are wildly used in WSNs to improve the energy efficiency. LEACH and TEEN protocols are the typical techniques. In these methods, all nodes, including nodes who have sensed data to transmit and nodes who haven't, are set frame timeslots in every round. MNs (member nodes) without sensed data keep active all the time, too. These strategies caused energy waste. Furthermore, if data collection in MNs is same to the previous transmission, it increases energy consumption. Most hierarchical structure protocols are developed based on LEACH. To solve the above problems, this paper proposed a method in which only MNs with sensed data can obtain allocated frame to transmit data. Moreover, if the MNs have same sensed data with previous, MNs turn to sleep mode. By this way redundant data transmission is avoided and aggregation in CH is lightened, too.

• Journal of Korean Academy of Nursing
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• v.34 no.6
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• pp.903-912
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• 2004

Purpose: A structural equation model was analysed to explore the determinants of health behaviors of university students in Korea. Method: Nine hundred sixty nine university students were selected by random cluster sampling from five universities located in the central area of Korea. Data collection: The data was collected by questionnaires about demographic characteristics, stressful life events, perceived social support, perceived health status and health behaviors. Results: 1. Gender showed indirect effect on health behaviors. 2. Living together with(out) family had a direct effecton health behaviors: students living with family showed more positive health behaviors. 3. Stressful life events had an indirect effect on health behaviors via perceived health status; a higher score of stressful life events was the predictor for negative health behaviors. 4. A higher score of perceived health status predicted positive health behaviors. Recommendation: Each university should be encouraged to develop a health behavior control program and health promotion program for their own university students. It would be more effective to develop health programs separately according to the demographic or social characteristics of the students. It is also necessary for the Ministry of Education to reform the School Health Act and school health policy to strengthen a health promotion program for university students. In conclusion, following studies should identify and promote the validity and reliability of perceived health status and health behaviors measurements.