• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.3-14
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• 2022

Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.

• Journal of The Korean Association of Information Education
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• v.23 no.2
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• pp.131-139
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• 2019

From 2019, software education has become a required subject for all elementary school students. However, many teachers are still unfamiliar with how the classes should be instructed. So this paper presented the meaning, detailed competencies and achievement standard in order to help in the collection, analysis and representation of data among the computational thinking that are key to software education. And it also suggested the applicability of the classes. The full course of the paper is summarized as follows. First, existing studies have summarized the meaning, detail and achievement standard of data related competencies. Based on this, a preliminary investigation was instructed. Pilot study carried out both FGI and closed questions at the same time. This was done in response to the survey's questionnaire reflecting the opinions of experts. Second, the results of the questionnaire generated as a result of the above were verified for validity, stability, and reliability among the PhD, PhD courses, software education teachers, and software education workers. Third, I developed and applied the five lessons as a class objective as 'Choosing collection method-Select the collection method according to the problem situation.', 'Searching for meaning of data-Understand what the analyzed data mean..', 'Using various expression methods-Use a variety of expression tools.' using the backward design model to integrate education, class, and assessment. As a result, the detailed competencies of data collection, analysis, and representation and achievement standard were presented. This may help in setting specific and specific criteria for what direction classes are recommended when planning data-related classes in elementary schools.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.333-341
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• 2022

Despite rapidly increasing demand for fishing, there is a lack of studies and information related to fishing, and there is a limit to obtaining the data on the global distribution of fish resources. Since the existing method of investigating fish resource distribution is designed to collect the fish resource information by visiting the investigation area using a throwing net, it is almost impossible to collect nation-wide data, such as streams, rivers, and seas. In addition, the existing method of measuring the length of fish used a tape measure, but in this study, a FishingTAG's smart measure was developed. When recording a picture using a FishingTAG's smart measure, the length of the fish and the environmental data when the fish was caught are automatically collected, and there is no need to carry a tape measure, so the user's convenience can be increased. With the development of a global fishing application using a FishingTAG's smart measure, first, it is possible to collect fish resource samples in a wide area around the world continuously on a real time basis. Second, it is possible to reduce the enormous cost for collecting fish resource data and to monitor the distribution and expansion of the alien fish species disturbing the ecosystem. Third, by visualizing global fish resource information through the Google Maps, users can obtain the information on fish resources according to their location. Since it provides the fish resource data collected on a real time basis, it is expected to of great help to various studies and the establishment of policies.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1D
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• pp.43-50
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• 2011

The monitoring system for link travel speed using taxi probe is one of key sub-systems of ITS. Link travel speed collected by taxi probe has been widely employed for both monitoring the traffic states of urban road network and providing real-time travel time information. When sample size of taxi probe is small and link travel time is longer than a length of time interval to collect travel speed data, and in turn the missing state is inevitable. Under this missing state, link travel speed data is real-timely not collected. This missing state changes from single to multiple time intervals. Existing single interval prediction techniques can not generate multiple future states. For this reason, it is necessary to replace multiple missing states with the estimations generated by multi-interval prediction method. In this study, a multi-interval prediction method to generate the speed estimations of single and multiple future time step is introduced overcoming the shortcomings of short-term techniques. The model is developed based on Non-Parametric Regression (NPR), and outperformed single-interval prediction methods in terms of prediction accuracy in spite of multi-interval prediction scheme.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.73-81
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• 2013

Elementary students are living in the information environment at daily. Also, they are learning the school curriculum lessons are based on information. Computational thinking that based on information from everyday life and the school curriculum is important. Until now, many educational materials for the computational thinking have been developed. But, teaching and learning method for computational thinking have not been developed. In the study, the teaching and learning model for computational thinking for elementary school students will be developed. Computational thinking education model proposed in this study consists of three phases. The first phase is the information gathering stage. The second phase is to perform calculations. The last phase is the decision-making steps. Effective teaching and learning methods that are proposed model in this study for computational thinking education will be used.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.247-250
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• 2018

정부는 국내산 풀사료의 경쟁력을 강화하기 위해 풀사료용 기계장비 및 제조비 등의 지원에 해마다 1,000억 이상의 예산을 사용하고 있다. 이에 수반한 보조금의 공정한 집행을 위한 절차와 서류는 매우 복잡하기 때문에 집행 및 정산에 상당한 행정비용이 발생하여 국내 생산 확대의 걸림돌로 적용하고 있는 실정이다. 또한 풀사료는 생산시점의 환경(습도, 온도 등), 수분함유량, 압축압력, 풀사료 품종 등에 따라 품질이 달라지는데 품질기준이 미흡해 유통활성화에 걸림돌이 되고 있다. 풀사료 생산이력 정보 수집에 필요한 센서, IoT 통신기술 등은 상용화 수준에 도달했으나 풀사료 생산현장에 적용하기 위해서는 풀사료 수확기 등과의 통합이 필요하고, 데이터에 기반한 과학적 정책 입안을 위한 기반 데이터 축적이 필요하다. 이를 위해 본 연구에서는 국내산 풀사료의 생산량 증대 및 유통 활성화를 위한 IoT 기반의 풀사료 생산이력관리 시스템을 개발 중으로, 우선 관리 기준이 되는 표준 데이터를 정립해 DB화(化) 하고, 풀사료 수확현장에서 필요한 데이터를 확보하기 위한 생산이력 생성장치 및 생산이력 수집장치와 이를 IoT망을 활용해 전송하기 위한 생산이력 송신장치를 개발하며 수집된 데이터를 통합 데이터베이스화(化) 하여 다양한 사용자에게 유무선 인터넷을 활용해 정보를 제공하는 웹/앱을 개발 중이다. 개발을 위한 핵심 기술로는 풀사료 수확기에 부착된 다양한 센서에서 생성되는 압력 등의 데이터를 실시간으로 취득하는 기술, 제어용 컨트롤러 설계 기술, 센서 데이터 가공 기술, IoT망을 이용한 실시간 전송 기술, 풀사료 통합 DB 구축 기술, Full Stack JavaScript 기술 등이 있다. 본 시스템를 풀사료 현장에 적용하면 풀사료 현장 조사 시간 및 비용 절감, 풀사료 생산/유통/보조 업무 전반의 효율화 및 투명화, 생산이력제 정착으로 풀사료 온라인 유통 활성화 및 물류비 절감, 센서, 측정장치, 표기장치 판매 및 유지보수 등 농업분야 신규사업 창출이 가능하다.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.273-280
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• 2012

As changed the clinical environment, the interest on u-Healthcare service and systems has been increased. The ubiquitous healthcare(u-Healthcare) systems are constructed at the integrated environment that consists of various devices and systems basically such as personal health devices(PHDs) measuring body signals, information aggregators gathering the data transmitted from PHDs through wireless technology, and health information systems storing and managing personal health information transmitted from the information aggregators. International standards such as IEEE 11073 and HL7 have been specified for the interoperability of PHDs and health information systems, but the research on u-Healthcare systems that were developed and applied in the real clinical environment by adopting the standards was rarely conducted. Therefore, we developed an u-Healthcare system which can manage personal health information, such as blood glucose, blood pressure, and body composition, based on health information exchange standards. Moreover, we verified the stability of the developed system through clinical trial in patients with endocrine disease at the Kyungpook National University Hospital, and listed problems occurred during clinical trial and found their solutions.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.315-316
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• 2022

In order to reduce maritime accidents and promote maritime safety and the happiness of the sea people, the Ministry of Oceans and Fisheries has been providing Intelligent Maritime Traffic Information services to the public from the end of January 2021. Various information is generated and collected through this service, and research and development is underway to develop and verify a service algorithm by applying the collected information to data science to realize a safer and more efficient intelligent maritime traffic information service. In order to develop and implement this, a data pipeline system that connects the collected and stored data and can access, use, and store data from multiple systems smoothly is required. Therefore, in this study, a data pipeline that can be used in various systems such as a datascience based service algorithm development environment and an intelligent maritime transportation service test-bed was designed.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.37-44
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• 2023

As a primary technology of Industry 4.0, human-robot collaboration (HRC) requires additional measures to ensure worker safety. Previous studies on avoiding collisions between collaborative robots and workers mainly detect collisions based on sensors and cameras attached to the robot. This method requires complex algorithms to continuously track robots, people, and objects and has the disadvantage of not being able to respond quickly to changes in the work environment. The present study was conducted to implement a web-based platform that manages collaborative robots by recognizing the emotions of workers - specifically their perception of danger - in the collaborative process. To this end, we developed a web-based application that collects and stores emotion-related brain waves via a wearable device; a deep-learning model that extracts and classifies the characteristics of neutral, positive, and negative emotions; and an Internet-of-things (IoT) interface program that controls motor operation according to classified emotions. We conducted a comparative analysis of our system's performance using a public open dataset and a dataset collected through actual measurement, achieving validation accuracies of 96.8% and 70.7%, respectively.

• 농업기술회보
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• v.50 no.3
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• pp.18-19
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• 2013

친환경 농산물 수요가 급증함에 따라 녹비작물 재배가 급속히 증가하고 있지만 녹비재배용 종자는 여전히 외국에서 수입하고 있다. 이에 국립식량과학원에서는 국내 및 외국의 유전자원을 수집하여 추위에 강하고 녹비생산량이 많은 신풍종 '청풍보라'를 국내최초로 개발했다.