• Journal of Digital Contents Society
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• v.12 no.4
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• pp.501-510
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• 2011

Most of electronic medical record systems which have been built in Korean hospitals are based on source oriented medical record approach. These systems hardly satisfy diverse objectives owing to the innate imperfections in system architecture and development methodology. Thus, the hybrid of source oriented and problem oriented approach is highly desirable. The purpose of this study is to present an architecture and methodology required to construct hybrid electronic medical record system and to develop a prototype based on them. Analyzing the clinical processes and data requirements of problem oriented medical record approach we developed a software process model as weel as an architecture model which consists of legacy system, clinical data repository, problem list database, prospective plan database, user interface, and synchronization procedures.

• 한국IT서비스학회:학술대회논문집
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• 2007.11a
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• pp.364-369
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• 2007

다양한 의료서비스를 정형화되고 효율적인 방법으로 제공하기 위하여 최근 의료기관의 EMR(Electronic Medical Record; 전자의무기록) 시스템의 도입이 급속도로 확산되고 있다. 그러나 국내에서 구축되고 있는 EMR은 초기에 기대했던 EMR의 도입목적을 중분하게 달성하지 못하고 있다. 이는 근본적으로 EMR의 방향성과 구조에 한계를 지니고 있기 때문이다. 국내에서 구축되고 있는 대부분의 전자의무기록시스템은 자료수집원 지향 의무기록 (Source Oriented Medical Record; SOMR) 방식으로 개별 사실을 수집하고 제시하기 위한 관찰자 중심, 서식중심의 시스템이며 차트 이송과 종이를 없애는 것이 주목적이다. SOMR 방식은 EMR의 다양한 도입목적, 특히 임상자료의 효과적 활용을 충족시킬 수 없는 태생적인 한계를 지니고 있기 때문에 문제지향 의무기록 (Problem Oriented Medical Record; POMR) 방식의 EMR과 적절한 혼용전략 (Hybrid Strategy)이 절실히 요구된다. 본 연구의 목적은 SOMR 시스템과 POMR 시스템이 보완적으로 결합된 하이브리드 EMR 아키텍처를 제시하고 아키텍처를 구성하는 데 필요한 기술적 요소들과 그들간의 상호관계 틀 파악한 후 이를 기반으로 개발방법론을 도출하는 것이다. 또한 만성신부전증 환자 사례를 이용하여 앞서 제시된 개발방법론에 따라 프로토타입을 개발하였다. 본 연구는 EMR 시스템이 SOMR 구조에만 편향됨으로써 발생될 수 있는 다양한 문제들을 해결함으로써 진료의 품질 항상, 임상연구의 활성화, 조직적이고 과학적인 진료계획의 수립과 같은 소외되어 왔던 EMR의 목표를 실현할 수 있을 것으로 기대 된다.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.203-220
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• 2015

This study was to suggest the creation of hybrid bibliographic records in complicated bibliographic environment applying both AACR2 and RDA for uniform display and correct search. The literature reviews and case studies were used as the research methods. In case studies, Kent State University, University of Houston as the libraries, and Backstage Library Works as algorithm converting to hybrid records were surveyed. For creating the hybrid records, it was needed to differentiate hybrid records and born RDA records, to keep the data that appeared in 250 tag without spelling out edition data, to maintain 260 tag instead of converting 260 tag to 264 tag, and last to design mapping table for converting GMD to CMC. This study would suggest uniform display and search through hybridization of bibliographic records of foreign resources.

• Journal of Species Research
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• v.12 no.3
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• pp.258-265
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• 2023

We conducted phylogenetic analyses using multiplexed inter-simple sequence repeat genotyping by sequencing and compared chloroplast DNA sequences among Ardisia japonica, A. pusilla, and morphologically intermediate plants found on Jeju Island, Korea. Our network analysis demonstrated that the intermediate plants were genetically positioned between A. japonica and A. pusilla. Our comparison of the intergenic spacer between the psbA and trnH genes in chloroplast DNA indicated that four nucleotide substitutions separate A. japonica and A. pusilla, whereas the intermediate plants exhibited the A. japonica haplotype. Our results suggest that the intermediate plants on Jeju Island represent a natural hybrid of A. japonica, as the maternal species, and A. pusilla, and that they are attributable to Ardisia×walkeri. This record constitutes the first documented occurrence of the hybrid taxon in Korea.

• Earthquakes and Structures
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• v.10 no.3
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• pp.563-588
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• 2016

In this study, solution models are proposed to obtain code-compatible ground motion record sets which can be used for both uni-directional and bi-directional dynamic analyses. Besides scaled, unscaled ground motion record sets are obtained to show the utility and efficiency of the solution models. For scaled ground motion sets the proposed model is based on hybrid HS-Solver which integrates heuristic harmony search (HS) algorithm with the spreadsheet Solver add-in. For unscaled ground motion sets HS based solution model is proposed. Design spectra defined in Eurocode-8 for different soil types are selected as target spectra. The European Strong Motion Database is used to get ground motion record sets. Also, a sensitivity analysis is conducted to evaluate the effect of different HS solution parameters on the solution accuracy. Results show that the proposed solution models can be regarded as efficient ways to develop scaled and unscaled ground motion sets compatible with code-based design spectra.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.22 no.12
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• pp.1009-1013
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• 2009

In this study, we have been synthesized the dielectric layer using pure organic and organic-inorganic hybrid precursor on flexible substrate for improving of the organic thin film transistors (OTFTs) and, design and fabrication of organic thin-film transistors (OTFTs) using small-molecule organic semiconductors with pentacene as the active layer with record device performance. In this work OTFT test structures fabricated on polymerized substrates were utilized to provide a convenient substrate, gate contact, and gate insulator for the processing and characterization of organic materials and their transistors. By an adhesion development between gate metal and PI substrate, a PI film was treated using $O_2$ and $N_2$ gas. The best peel strength of PI film is 109.07 gf/mm. Also, we have studied the electric characteristics of pentacene field-effect transistors with the polymer gate-dielectrics such as cyclohexane and hybrid (cyclohexane+TEOS). The transistors with cyclohexane gate-dielectric has higher field-effect mobility, $\mu_{FET}=0.84\;cm^2/v_s$, and smaller threshold voltage, $V_T=-6.8\;V$, compared with the transistor with hybrid gate-dielectric.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.4
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• pp.201-208
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• 2016

Non-volatile counter is a counter that maintains the value without external power supply. It has been used for the applications related to warranty issues to count and record certain events such as power cycles, operating time, hard resets, and timeouts. It has been conventionally implemented with volatile memory-based counter and battery backup or non-volatile memory such as EEPROM. Both of them have a lifetime issue due to the limited lifetime of the battery and the endurance of the non-volatile memory cells, which incurs significant redundancy in design. In this paper, we introduce a hybrid architecture of volatile (SRAM) and non-volatile memory (EEPROM) cells to achieve required lifetime of the non-volatile counter with smaller cost. We conduct a design space exploration of the proposed hybrid architecture with the parameters of various kinds of non-volatile memories. The analysis result shows that the proposed hybrid non-volatile counter can extend the lifetime up to 6 times compared to the battery-backup volatile memory-based implementation.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.5
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• pp.616-624
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• 2019

In order to understand flying aircraft, satellite, missile, etc, a telemetry ground system is used to receive, record, and process the transmitted radio signal from vehicles. In some cases, a line-of-sight communication is not possible along to the trajectory of vehicles, and multipath fading result in a shade area of communication. A number of telemetry ground systems are installed to overcome this limitation, and acquire the transmitted signal seamlessly. The telemetry signals received by multiple independent ground systems have independent probability of errors since they experienced their own communication channels. In other words, we can exploit the independent error characteristics of received signals by processing them in a hybrid method. The optimum hybrid post-process method is proposed in this study, and applied to process telemetry signals acquired from flight tests.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.1
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• pp.1-8
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• 2011

This article proposes a hybrid approach involved in determining the size of stormwater control facilities as part of a very large scale urban retrofit project. The objective of the proposed hybrid approach is to restore the pre-development hydrologic cycle. Firstly, an appropriate IETD is determined to isolate single storm events from the continuous rainfall record. Then, using the NRCS-CN method, direct runoff and infiltration volume are computed for every storm events. Long-term statistics of direct runoff and infiltration volume are analyzed in each case of pre-development, post development, post development with detention only, and post-development with the proposed hybrid approach. In order to preserve long-term statistics of direct runoff and infiltration volume in the case of pre-development, the size of detention and infiltration-based retention are estimated using the genetic algorithm. The result shows that the proposed hybrid approach is very useful for restoring statistics of natural direct runoff and infiltration volume.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.125-140
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• 2013

We call a data set in which the number of records belonging to a certain class far outnumbers the number of records belonging to the other class, 'imbalanced data set'. Most of the classification techniques perform poorly on imbalanced data sets. When we evaluate the performance of a certain classification technique, we need to measure not only 'accuracy' but also 'sensitivity' and 'specificity'. In a customer churn prediction problem, 'retention' records account for the majority class, and 'churn' records account for the minority class. Sensitivity measures the proportion of actual retentions which are correctly identified as such. Specificity measures the proportion of churns which are correctly identified as such. The poor performance of the classification techniques on imbalanced data sets is due to the low value of specificity. Many previous researches on imbalanced data sets employed 'oversampling' technique where members of the minority class are sampled more than those of the majority class in order to make a relatively balanced data set. When a classification model is constructed using this oversampled balanced data set, specificity can be improved but sensitivity will be decreased. In this research, we developed a hybrid model of support vector machine (SVM), artificial neural network (ANN) and decision tree, that improves specificity while maintaining sensitivity. We named this hybrid model 'hybrid SVM model.' The process of construction and prediction of our hybrid SVM model is as follows. By oversampling from the original imbalanced data set, a balanced data set is prepared. SVM_I model and ANN_I model are constructed using the imbalanced data set, and SVM_B model is constructed using the balanced data set. SVM_I model is superior in sensitivity and SVM_B model is superior in specificity. For a record on which both SVM_I model and SVM_B model make the same prediction, that prediction becomes the final solution. If they make different prediction, the final solution is determined by the discrimination rules obtained by ANN and decision tree. For a record on which SVM_I model and SVM_B model make different predictions, a decision tree model is constructed using ANN_I output value as input and actual retention or churn as target. We obtained the following two discrimination rules: 'IF ANN_I output value <0.285, THEN Final Solution = Retention' and 'IF ANN_I output value ${\geq}0.285$, THEN Final Solution = Churn.' The threshold 0.285 is the value optimized for the data used in this research. The result we present in this research is the structure or framework of our hybrid SVM model, not a specific threshold value such as 0.285. Therefore, the threshold value in the above discrimination rules can be changed to any value depending on the data. In order to evaluate the performance of our hybrid SVM model, we used the 'churn data set' in UCI Machine Learning Repository, that consists of 85% retention customers and 15% churn customers. Accuracy of the hybrid SVM model is 91.08% that is better than that of SVM_I model or SVM_B model. The points worth noticing here are its sensitivity, 95.02%, and specificity, 69.24%. The sensitivity of SVM_I model is 94.65%, and the specificity of SVM_B model is 67.00%. Therefore the hybrid SVM model developed in this research improves the specificity of SVM_B model while maintaining the sensitivity of SVM_I model.