• Korea Real Estate Review
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• v.28 no.1
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• pp.23-37
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• 2018

The genetic algorithm (GA) and branch and bound (B&B) methods are the useful methods of searching the optimal project combination (combinatorial optimization) to maximize the project effect considering the budget constraint and the balance of regional development with regard to the Urban Regeneration New Deal policy, the core real estate policy of the Moon Jae-in government. The Ministry of Land, Infrastructure, and Transport (MOLIT) will choose 13 central-city-area-type projects, 2 economic-base-type projects, and 10 public-company-proposal-type projects among the numerous projects from 16 local governments while each government can apply only 4 projects, respectively, for the 2017 Urban Regeneration New Deal project. If MOLIT selects only those projects with a project effect maximization purpose, there will be unselected regions, which will harm the balance of regional development. For this reason, an optimization model is proposed herein, and a combinatorial optimization method using the GA and B&B methods should be sought to satisfy the various constraints with the object function. Going forward, it is expected that both these methods will present rational decision-making criteria if the central government allocates a special-purpose-limited budget to many local governments.

• Journal of Korea Technology Innovation Society
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• v.22 no.3
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• pp.362-381
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• 2019

The purpose of this study is to examine how two factors among various affecting factors of technological innovation, i.e. sectoral system of innovation and R&D support service, were actually applied in the case of NUC Electronics. This company has achieved high level of innovation performance through change of injection port and improvement of extracting rate. This was possible because each component of sectoral system of innovation system was matched with the innovation activity. The improvement of the performance in NUC Electronics was attributable to its own innovation efforts and R&D support service of government research institute. In the process of technological innovation, the company could receive high-level services in areas such as product design and virtual experiments that companies can not solve themselves. It can be said that the role of government and public institutions to support the shortage of SMEs was important. In terms of each component of sectoral system of innovation, we found that there were many opportunities of new technology; sustainability was low; imitation was easy; appropriability was low but it has dualily; accumulation of technology was relatively high, availability of external knowledge was high. At the same time, both of the company and the network played an important role, and market conditions were very favorable. In terms of R&D support services, it is a direct effect that a great deal of time and cost savings have been achieved through virtual experiments on the material and shape of the screw. As an indirect effect, the core competence of the company has been greatly strengthened by utilizing the momentum of technology development through external support, hence the company could establish the structure of virtuous circle of innovation.

• The Korean Journal of Archival Studies
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• no.53
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• pp.229-259
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• 2017

The purpose of this study is to find out the level of the classification system of the government-funded research institutes and to search the future direction of the classification scheme of these research institutes. As a result of analyzing the classification system and regulations of the 23 government-funded research institutes, it is found that the regulations of the records management of most institutions are basically based on other regulations before Public Records Act. In addition, there are not many institutions in which the record production system that reflects the Public Records Act is introduced, and the production and classification of the records are performed separately, and the classification scheme in which the organization classification and the functional classification are mixed is often used only as a reference tool for setting retention period. To overcome this situation, it is necessary to improve the regulation, classification scheme and system. The revision of the law at the national level and establishment of records management regulations at the institutional level should be made. A special classification scheme for 'research' which is a core function of the research institute should be designed and this classification scheme must be applied from the registration stage of records. The fact that the record management obligation is ignored and the production records are not properly managed is to deny the value of the research field records by themselves. I hope that the records management of government-funded research institutes will be moved in place as soon as possible and practical issues will be communicated to academia and good ideas for better development will be returned to the field of practice.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.9
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• pp.1038-1048
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• 2019

Recently, various systems have been developed to support ship navigation safety. In order to verify the usefulness of such a system, it is most ideal to try it on a real vessel, but there are many difficulties. As an alternative, usability verification methods applied with modelling and simulation (M&S) techniques are required such as FMSS, which is closest to reality, is very expansive to construct, and there needs the specialized operator. For this reason, this paper proposes a method to verify the navigation safety support system by modeling and simulation techniques based on the Discrete Event System Specification (DEVS) formalism. As a first step, we designed the navigation simulation architecture based on the SES/MB framework, and details on modelling ship core equipment and navigator agents based on the DEVS. Through this, we are able to implement the navigation simulation system for vessels, and evaluate the effectiveness of navigation safety support elements such as collision avoidance, etc. using developed scenarios.

• The Korean Journal of Archival Studies
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• no.28
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• pp.155-180
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• 2011

This study presents how to vitalize the record management of the provinces by investigating the current issues and by identifying the universality and the distinctiveness of the record management in local agencies. However, it only deals with the system of the record management, focusing on the history of the provinces. Although the related projects conducted by the provinces of Korea consist of various types, including publishing the local history, creating the activities of local cultural institutes, and collecting and organizing the historical records, these have not been active in many regions with insignificant achievements. In this regard, local self-governing bodies need to actively fulfill the duty of the management not only for the administrative archives but also for the historical archives by aggressively interpreting the associated parts suggested by the Act on the Management of Public Archives. Ultimately, it is proper to integrate theses two functions. Moreover, an effective collection is the core part of the record management of history. Therefore, a 'committee' with experts should provide in-depth views from planning to post-processing stages. Meanwhile, a consensus on the importance and the necessity of the historical archive management between owners and concerned parties should be formed during the collection process. In conclusion, each local autonomous entity should make sure of the active record management of history through establishing their own mid to long-term development plans, securing experts in archive management, as well as providing the service for record contents.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.3
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• pp.320-333
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• 2019

Objective: The Shanghai Holstein cattle breed is susceptible to severe mastitis and other diseases due to the hot weather and long-term humidity in Shanghai, which is the main distribution centre for providing Holstein semen to various farms throughout China. Our objective was to determine the genetic mechanisms influencing economically important traits, especially diseases that have huge impact on the yield and quality of milk as well as reproduction. Methods: In our study, we detected the structural variations of 1,092 Shanghai Holstein cows by using next-generation sequencing. We used the DELLY software to identify deletions and insertions, cn.MOPS to identify copy-number variants (CNVs). Furthermore, we annotated these structural variations using different bioinformatics tools, such as gene ontology, cattle quantitative trait locus (QTL) database and ingenuity pathway analysis (IPA). Results: The average number of high-quality reads was 3,046,279. After filtering, a total of 16,831 deletions, 12,735 insertions and 490 CNVs were identified. The annotation results showed that these mapped genes were significantly enriched for specific biological functions, such as disease and reproduction. In addition, the enrichment results based on the cattle QTL database showed that the number of variants related to milk and reproduction was higher than the number of variants related to other traits. IPA core analysis found that the structural variations were related to reproduction, lipid metabolism, and inflammation. According to the functional analysis, structural variations were important factors affecting the variation of different traits in Shanghai Holstein cattle. Our results provide meaningful information about structural variations, which may be useful in future assessments of the associations between variations and important phenotypes in Shanghai Holstein cattle. Conclusion: Structural variations identified in this study were extremely different from those of previous studies. Many structural variations were found to be associated with mastitis and reproductive system diseases; these results are in accordance with the characteristics of the environment that Shanghai Holstein cattle experience.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.239-247
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• 2019

An accurate prediction of emotion is a very important issue for the sake of patient-centered medical device development and emotion-related psychology fields. Although there have been many studies on emotion prediction, no studies have applied the heart rate variability and neuro-fuzzy approach to emotion prediction. We propose ANFEP(Adaptive Neuro Fuzzy System for Emotion Prediction) HRV. The ANFEP bases its core functions on an ANFIS(Adaptive Neuro-Fuzzy Inference System) which integrates neural networks with fuzzy systems as a vehicle for training predictive models. To prove the proposed model, 50 participants were invited to join the experiment and Heart rate variability was obtained and used to input the ANFEP model. The ANFEP model with STDRR and RMSSD as inputs and two membership functions per input variable showed the best results. The result out of applying the ANFEP to the HRV metrics proved to be significantly robust when compared with benchmarking methods like linear regression, support vector regression, neural network, and random forest. The results show that reliable prediction of emotion is possible with less input and it is necessary to develop a more accurate and reliable emotion recognition system.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2014.10a
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• pp.25-48
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• 2014

Increased frequency of climate extremes is another face of climate change confronted by humans, resulting in catastrophic losses in agriculture. While climate extremes take place on many scales, impacts are experienced locally and mitigation tools are a function of local conditions. To address this, agrometeorological early warning systems must be place and location based, incorporating the climate, crop and land attributes at the appropriate scale. Existing services often lack site-specific information on adverse weather and countermeasures relevant to farming activities. Warnings on chronic long term effects of adverse weather or combined effects of two or more weather elements are seldom provided, either. This lecture discusses a field-specific early warning system implemented on a catchment scale agrometeorological service, by which volunteer farmers are provided with face-to-face disaster warnings along with relevant countermeasures. The products are based on core techniques such as scaling down of weather information to a field level and the crop specific risk assessment. Likelihood of a disaster is evaluated by the relative position of current risk on the standardized normal distribution from climatological normal year prepared for 840 catchments in South Korea. A validation study has begun with a 4-year plan for implementing an operational service in Seomjin River Basin, which accommodates over 60,000 farms and orchards. Diverse experiences obtained through this study will certainly be useful in planning and developing the nation-wide disaster early warning system for agricultural sector.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.105-111
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• 2019

Core technologies that lead the Fourth Industrial Revolution era, such as artificial intelligence, big data, and autonomous driving, are implemented and serviced through the rapid development of computing power and hyper-connected networks based on the Internet of Things. In this paper, we implement two different models for drivable area segmentation in various environment, and propose a better model by comparing the results. The models for drivable area segmentation are using DeepLab V3+ and Mask R-CNN, which have great performances in the field of image segmentation and are used in many studies in autonomous driving technology. For driving information in various environment, we use BDD dataset which provides driving videos and images in various weather conditions and day&night time. The result of two different models shows that Mask R-CNN has higher performance with 68.33% IoU than DeepLab V3+ with 48.97% IoU. In addition, the result of visual inspection of drivable area segmentation on driving image, the accuracy of Mask R-CNN is 83% and DeepLab V3+ is 69%. It indicates Mask R-CNN is more efficient than DeepLab V3+ in drivable area segmentation.

• Industry Promotion Research
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• v.6 no.1
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• pp.23-31
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• 2021

The Calendar(曆法) has been a very important concern in every dynasty of history.『Hyupgiltongui』 written in the Joseon Dynasty included many contents related to the Calendar. In particular, the ancient rule of the Calendar(曆律) shown in the text of 『Hyupgiltongui』 Bonwon chapter one is meaningful in the process of creating the necessary Calendar for selection and reading fortune. Accordingly, we tried to analyze the rule of the Calendar(曆律) that is the fundamental principle of the Calandar(曆法) and the almanac which can be used in real life, based on comparative analysis of 『Hyupgibyeonbangseo』, 『Sanggiltongseo』 and 『Cheongidaeyo』, which are the basis of 『Hyupgiltongui』. Saju Myung-ri is the scheme of time change by the combination of Ganji (Celestial Stems). Therefore, the core of the calendar system is to make four pillars by the year, month, day, and time. For doing this, 『Hyupgiltongui』 provides basic principles and materials for making four pillars using constellations like 28 Fixed Stars, as well as does simple composition principle for telling fortune such as Ten Celestial Stems, Twelve Zodiac Signs, the order of four seasons(四序), Yukjin(六辰) and Sexagenary Cycle (甲曆). However, despite the limitations of the results produced by the rule of the Calendar(曆律), we came to the conclusion that if reading fortune in Saju(四柱簡明) is to find good one(吉) in terms of understanding it as the rule of predicting future(術法) not science, its usefulness cannot be ignored.