• Journal of Digital Convergence
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• v.19 no.10
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• pp.105-110
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• 2021

The pig ICT automatic feeder is capable of automatically feeding feed, etc. according to the set conditions. However, there is a disadvantage that the setting condition itself must depend on the user's experience. Therefore, trial and error is caused, and there is a problem that the efficiency is lowered. Therefore, it is necessary to develop a system and implement a service model that can improve pig productivity by suggesting optimal feeding setting conditions based on data. Therefore, in this paper, a pig feeding management service model was developed using the performance analysis program such as the existing feeding data, breeding management data, and pig production management system. Through this, we developed a consumer-oriented feed management service model that can be efficiently utilized by analyzing pig data. In addition, it is possible to provide a service that contributes to a decrease in the mortality rate and an increase in the MSY of the farms with the intelligent automatic feeding management service, thereby improving the productivity of the pig farms and thereby increasing the income of the pig farms.

• Journal of Advanced Navigation Technology
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• v.25 no.1
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• pp.96-101
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• 2021

This paper presents a machine learning model that predicts stroke risks in atrial fibrillation patients using public big data. As the training data, 68 independent variables including demographic, medical history, health examination were collected from the Korean National Health Insurance Service. To predict stroke incidence in patients with atrial fibrillation, we applied deep neural network. We firstly verify the performance of conventional statistical models (CHADS2, CHA2DS2-VASc). Then we compared proposed model with the statistical models for various hyperparameters. Accuracy and area under the receiver operating characteristic (AUROC) were mainly used as indicators for performance evaluation. As a result, the model using batch normalization showed the highest performance, which recorded better performance than the statistical model.

• Journal of Apiculture
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• v.34 no.1
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• pp.47-55
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• 2019

Honey bees are a vital part of the food chain as the most important pollinators for a broad palette of crops and wild plants. The climate change and colony collapse disorder (CCD) phenomenon make it challenging to develop ICT solutions to predict changes in beehive and alert about potential threats. In this paper, we report the test results of the bee-counting system which stands out against the previous analogues due to its comprehensive components including an improved dual infrared sensor to detect honey bees entering and leaving the hive, environmental sensors that measure ambient and interior, a wireless network with the bluetooth low energy (BLE) to transmit the sensing data in real time to the gateway, and a cloud which accumulate and analyze data. To assess the system accuracy, 3 persons manually counted the outgoing and incoming honey bees using the video record of 360-minute length. The difference between automatic and manual measurements for outgoing and incoming scores were 3.98% and 4.43% respectively. These differences are relatively lower than previous analogues, which inspires a vision that the tested system is a good candidate to use in precise apicultural industry, scientific research and education.

• 한국정보교육학회:학술대회논문집
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• 2005.08a
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• pp.276-283
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• 2005

최근 컴퓨터, 인터넷, 그리고 다양한 멀티미디어 자료를 이용한 정보통신기술(ICT) 활용 교육에 대한 사회적 요구가 증가하고 있다. 이로 인하여 각급 학교에서는 컴퓨터, 학내망 장비, 교육용 소프트웨어 등의 교육 정보 인프라에 대한 관리 및 관련 업무를 교육 정보부에 전담시키고 있다. 본 논문에서는 이러한 정보화 기자재 및 소프트웨어 관리뿐만 아니라 학내망 관련 업무 효율을 높이기 위한 교육 정보 인프라 통합 관리시스템을 설계한다. 제안된 시스템은 웹을 기반으로 교육 정보부에서 관리하는 모든 관리 대장의 자료를 포함한다. 특히 제안된 시스템은 교육 정보부의 개별적인 관리대장 자료의 연관성을 분석하여 학내망 구조 기반으로 운용된다. 이를 위하여 학내망 장비를 위한 새로운 데이터베이스 레코드 형를 제안하고 이를 이용하는 학내망 구조 구성 알고리즘을 제안한다. 따라서 본 시스템은 사용자의 관리 대장 자료에 대한 접근을 학내망 구조 기반으로 수행할 수 있도록 함으로써 교육 정보부 업무에 대한 거부감과 업무 효율을 향상 시킬 것으로 기대된다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.404-405
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• 2015

스마트그리드 기반의 원격검침에 대한 요구가 증대하면서 한전에서는 2008년부터 저압 고객에 대한 AMI(Advanced Metering Infrastructure) 기반의 검침시스템이 구축되어 운영되고 있다. 한전의 AMI 검침시스템은 2020년까지 2200만호에 대한 원격검침을 지원할 예정에 있으며, 이를 위해서는 원격검침 망을 구성하는 DCU(Data Concentration Unit) 및 모뎀에 대한 네트워크를 관리하는 검침네트워크 관리시스템을 필요로 하게 된다. 본 논문에서는 검침네트워크에 대한 설비 정보, 네트워크 구성정보, 성능정보, 트래픽 정보 등을 관리하고, 통신설비에 대한 장애현황 및 이력을 관리하는 시스템에 대한 설계 및 개발내용을 소개하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.27-29
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• 2015

Based on IALA guidelines, the fundamental requirements of radar system for vessel traffic services are analyzed in this paper. target separation, target position accuracy, target track accuracy of X-band radar and recommended test conditions are analyzed. Also, in order to check if it satisfies the requirement of target position accuracy from IALA guideline, the test is carried out through processing of radar raw image acquired at VTS center.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.123-124
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• 2019

우리나라 조선업은 건조분야에서 세계최고의 위상을 자랑하면서 급속도로 발전을 해왔다. 그러나 세계적으로 수주 불황과 조선 산업의 침체로 인해서 조선 산업은 직접적인 타격으로 국내의 중견 조선소 및 기자재 공급업체들이 도산되어0 최근부터 해양플랜트 사업이 우리나라 새로운 산업으로 부상하면서 해양 ICT 융합기술을 활용한 기자재 업체들이 많이 생겨났다. 하지만 실제 해양플랜트 선박 및 기자재의 국산화율은 현저히 낮다. 해양플랜트 외에 다른 용도로 사용이 가능한 Service and Access Basket의 국산화를 위해서 각 모듈별로 임베디드를 연계하여 설계하였다. 기존의 Service and Access Basket의 미비했던 안전 사양(기울기, 하중, 경보 등)을 추가로 설계하고 신뢰성이 높은 센서(자이로, 하중센서, 초음파 거리센서)들을 활용하여 통합 설계하였다. 이러한 통합 시스템이 완성이 되면 고소차, 해양/육상용 고공 작업을 할 수 있는 장비 등에 활용할 수 있을 예정이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.8
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• pp.1611-1618
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• 2017

Recently, the development for USV-related technologies are actively growing up in military domain. The USV (unmanned surface vehicle) conducts various missions for national defense at maritime environment. For succeed the missions, the USV essentially needs an automatic and remote control platform which includes propulsion system, steering system, control system, power system and so on. In this paper, we developed an integrated control system for the platform equipments and verified effectiveness of the developed system. To do this, we designed a system architecture and implemented a main control system that processes and controls platform equipments by received command. Also we developed components of designed architecture such as engine control device, water-jet control device and power control device. For test and verify the developed system, we designed and made a test-bed of engine and water-jet with related parts, and proceeded a basin test for verifying the developed system based on the test-bed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.480-490
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• 2018

Recently, The MRV (monitoring, reporting and verification) regulation, which measures, reports and verifies the emission gas of vessel to head for member countries of Europe Union (EU), is being implemented. As part this reason, we develop a system that estimates simple fuel consumption and recommends optimized stop-over ports of vessel, to calculate amount of carbon emission. To do this, we analyze fuel, distance and time consumption between port and the other port based on stored voyage data for over 10 years of real-ship, and implement a simple fuel consumption estimation module using analyzed result. Also, we design and implement the optimized route recommendation algorithm, existing navigation route display function including comparison with the optimized routes and user custom route plan function. Therefore, we expect the developed system is helpful when makes a navigation route and so on by reference indexes and we anticipate the system to have a sense for future research which learns and predicts for accuracy result.

• Journal of the Society of Disaster Information
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• v.15 no.1
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• pp.39-48
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• 2019

Purpose: This study aims at developing and implementing Smart Safety Management System based on IoT/ICT Convergence for safety of high-risk groups working at disaster or industrial field. Its functions are as follows. Method: We will develop three devices for keeping the safety of high-risk jobs: Sensor of inactivity, Lora based Refitting technology for communication between high-risk workers, and Lora Gateway for monitoring entire situations. Then we will test three devices in respect of their functions, and propose their applicabilities in the field. Results: The system can send and receive safety tags and danger signals by which sensor technology can detect dangerous state of workers. And its command terminal was developed by low-power wireless communication technology and LoRa Gateway, which can fulfill the lifting functions between safety tags. And, furthermore, the command terminal can monitor dangerous situations of disaster sites in real time and can perform the preemptive rescues. Conclusion: This study proves the functional efficacy of Smart Safety Management System for worker safety in various high-risk occupational groups, and also suggests ways to secure worker safety in disaster area and various high risk industrial sites.