Earticle

본 연구에서는 국가대표 아티스틱 스위밍팀 선수들의 연기 및 동작 촬영 지원을 위해서, 수상 및 수중 카메라에 서 생성된 영상을 실시간으로 하나의 통합 영상으로 재구성하는 아티스틱 스위밍 수상 수중 영상 통합 시스템을 개발하 였다. 개발된 시스템은 방수 처리가 된 4대의 USB 카메라(USB 2.0 카메라 2대, USB 3.0 카메라 2대) 와 1대의 노트북 컴퓨터를 이용하여 구현 되었으며, 수집된 영상의 처리를 위해서 LabVIEW 기반의 영상 합체 프로그램을 개발하였다. 구현된 장비를 이용하여 아티스틱 스위밍의 아크로바틱 동작을 관찰한 결과 협동 동작에서 발생하는 문제점 관찰 및 원인 파악이 가능하였으며, 현장에서 효과적인 동작 지도가 가능함을 확인 할 수 있었다. 개발된 장비는 현장 실험을 통한 성능 검증 후, 국가대표 아티스틱 선수들의 경기력 향상 지원에 활용되고 있다.

In this study, a real time image integrating system which can reconstruct two images from a surface camera and an under water camera into one new image was developed to support Korea artistic swimming team. The developed system consists of four USB cameras (two USB 2.0 and two USB 3.0) sealed in water proof case and one note book computer, and a LabVIEW based real time image merging program was developed. During field test, problem in cooperative motion of acrobatic formation was found, and it was proved that correction of motion to improve skill of the player could be possible in real time with aid of the developed system. After the filed test, the developed system has been being used to support Korea artistic swimming team.

본 논문은 마이크로프로세서와 랩뷰 프로그램을 이용한 IoT 기반의 건물 내부 지도 및 화재 안내 시스템에 관현 연구 이다. 지금까지의 건물 내부의 비상구를 안내하는 장치는 화재 발생시 화재장소와 상관없이 항상 일정한 방향만을 나 타내어 화재로부터 건물 밖까지 최적의 비상구를 나타내어 주지 않고 있다. 논문에서 구현된 스마트 제어 시스템은 마이크 로프로세서와 불꽃 감지센서, 일산화탄소센서 및 온도센서를 이용하여 화재 발생 장소를 파악하였고, Zigbee 통신을 통하여 최적의 이동경로를 안내하도록 구성되어 있다. 그리고 제안된 시스템은 QR코드를 활용하여 스마트폰과 연동되게 하였다. 코디네이터 제어는 LABVIEW 소프트웨어를 통하여 설치된 스마트제어 시스템의 센서 값이 확인되도록 검증하였다. 본 논 문에서 연구된 IoT 기반 제어시스템은 Arduino mega 보드와 LABVIEW 소프트웨어로 구현하였고, 디스플레이 장치와 코 디네이션으로 동작 상태를 확인 할 수 있었다.

This paper is a study on IoT based map inside the building and fire perception system using microprocessor and LABVIEW program. The smart control system implemented in this paper is designed to identify the location of fire by using microprocessor, flame detection sensor, carbon monoxide sensor and temperature sensor, and to guide the optimal travel route through Zigbee communication. And the proposed system uses QR code to interoperate with smartphone. The coordinator control verified that the sensor value of the smart control system installed through the LABVIEW software was confirmed. The IoT based control system studied in this paper was implemented with Arduino mega board and LABVIEW software, and the operation status was confirmed by display device and coordination.

본 연구는 창의적 문제해결 능력 향상을 위한 알고리즘 학습도구로서 로봇을 이용한 프로그래밍 학습방법을 제안하는데 목적이 있다. 이를 위해 30차시 분량의 로봇 프로그래밍 교육과정과 교재를 개발하였으며, 초등학생 6학년을 대상으로 30차시를 학습시킨 후 평가하였다. 각 차시별 학습결과 산출물 중심으로 성취수준을 평가한 결과, 학습자들이 교육과정 내용을 대부분 이해한 수준으로 분석되었다. 이러한 결과는 개발한 교육과정과 교재가 초등학생들에게 충분히 공감하고 실천 가능하도록 구성되었다고 판단된다. 본 연구에서의 실행 경험을 통해 초등학교에서 로봇 프로그램 학습이 창의적 알고리즘 학습도구로 성공할 수 있는 가능성을 확인하게 되었다.

With a focus on LabView language to program Lego Mindstoms Robot in afterschool class to help children develop their special ability and aptitude. The purpose of this research was to make proposal for programming learning method using a robot as an algorithm learning tool to improve creative problem solving ability. To do this, robot programming training program in the amount of 30th period and teaching aids thereof were developed, and 6th grade primary school children were taught up to 30th period, then after, they were evaluated accordingly. Results from analysis of evaluation of achievement level with a focus on outcomes according to each period revealed that learners understood most of contents of curriculum. In view of such results from evaluation, it is judged that the curriculum as well as teaching aids that devised and created have been constituted in order that school children will be able to have developed a shared understanding of their learning sufficiently, and to put it into practice easily. Through these hands-on experiences in the course of researches, researcher could have confirmed the possibility of success for robot-programming training class as new creative algorithm learning tool in the primary school curriculum.

본 연구는 RGB 팔레트 기반의 국토피복지도를 활용하여 LabVIEW Vision Development Module(VDM) 환경에서 자동 영상 분석 시스템을 구축하고, 도시별 식생피복 정보를 활용하여 폭염 취약성을 정량적으 로 평가하였다. 이를 위해, 서울, 대구, 광주, 밀양 네 개의 주요 도시를 대상으로 10 × 10 km의 동일한 공간 범위를 표준화하여 설정하고, 산림, 초지, 수역의 토지피복 유형의 면적비율을 산정하였다. 국토피 복지도가 환경부에서 규정한 고정 RGB 색상코드 분류체계를 기반으로 제작되어 영상처리 기반의 자동 화 분류가 가능하다는 점을 바탕으로 LabVIEW 기반 식생 비율 자동산정 알고리즘을 설계하고 구현하였 다. 분석 결과, 식생비율은 대구(6.3%) < 광주(7.6%) < 서울(9.1%) ≪ 밀양(21.7%) 순으로 나타났으며, 평균 지면온도와 결합하여 산출한 폭염취약지수(HVI) 역시 동일한 공간적 경향을 보이는 것으로 확인하 였다. 본 연구는 향후 도시 열환경 모니터링 및 녹지정책 수립, 폭염 대응 전략 마련 등을 위한 데이터 기반 분석과 의사결정 지원체계 마련에 기여할 수 있으며, LabVIEW 기반 자동 분석 도구의 확장 가능성을 제시한다.

This study developed an automated image-analysis system using the RGB palette–based Korean Land Cover Map in LabVIEW VDM to assess urban heatwave vulnerability by quantifying vegetation coverage. A standardized 10 × 10 km ROI was applied to Seoul, Daegu, Gwangju, and Miryang, and land-cover proportions (forest, grassland, water) were computed via RGB-based classification defined by the Ministry of Environment. Using this property, we implemented an automated vegetation-ratio estimation algorithm in LabVIEW. Vegetation ratios followed Daegu (6.3%) < Gwangju (7.6%) < Seoul (9.1%) ≪ Miryang (21.7%). A Heat Vulnerability Index (HVI) was derived by integrating vegetation ratio with mean land surface temperature. The HVI showed a consistent pattern with the vegetation results across the four cities. The proposed workflow enables rapid, reproducible assessment from land-cover imagery for urban heat-risk monitoring and response planning. Overall, the study demonstrates the applicability of LabVIEW for automated environmental analysis.

This paper focused on the design of ventilator algorithm and Hardware-in-Loop Simulation on the LabVIEW based ventilator control system. The ventilation algorithm had a double-layer structure. The upper layer was ventilation mode algorithm, while the lower layer was PID control algorithm. They worked at different periods. The lower layer served the upper layer and to achieve the constant voltage or constant current control the upper layer required. The upper layer determined the functionality of the ventilator, while the lower layer determined the performance of the ventilator.

The quality of Natural Gas Piping Systems (NGPS) must be ensured against any manufacturing defects. For this purpose, we develop a special testing machine (STM) constructed at the lab to test (NGPS). The proposed (STM)[1] function is based on testing the weak points at the pipe connections e.g. pipe bends, and intermediate connections. For more than 1500 pieces of (NGPS), crack propagation simultaneously followed up and monitored on the output screen at the critical positions of the pipelines connections. The control system utilizes the LabVIEW™ tools for various signals acquisition and monitoring also for designing the control system strategy.

A wireless cattle health monitoring system to measure health and psychological parameter of cattle has been developed using environmental temperature and humidity, body temperature, rumination, heartbeat, and sweat sensors. The system developed is capable to analyze stress level of cattle’s with reference to THI (Thermal Humidity Index). System is developed according to IEEE1451.1, 1451.2, and 802.15.4 standards. The ATmega16 controller and zigbee has been used to develop the wireless sensor and receiver nodes. LabVIEW is used as a real time data logger for monitoring the output of various sensors over the PC. This real time data monitoring is much inexpensive technique for monitoring of health of livestock. Power consumption of the device has been kept minimum. The device is successfully designed, made, and tested.

The quality of Natural Gas Piping Systems (NGPS) must be ensured against any manufacturing defects. For this purpose, we develop a special testing machine (STM) constructed at the lab to test (NGPS). The proposed (STM)[1] function is based on testing the weak points at the pipe connections e.g. pipe bends, and intermediate connections. For more than 1500 pieces of (NGPS), crack propagation simultaneously followed up and monitored on the output screen at the critical positions of the pipelines connections. The control system utilizes the LabVIEW™ tools for various signals acquisition and monitoring also for designing the control system strategy.

With the global increase in energy prices and the urgent need to reduce CO2 emissions to the atmosphere, high energy usage is the main problem the greenhouse industry facing. Optimized control of supplemental lighting intensity and quality help to improve productivity and energy efficiency of greenhouse. In this paper,LED light source module is developed according to the design of light distribution of RRGB chip based on plants need for uniform lighting. Adaptive LED supplementary lighting system realize collection, storage and call of environmental data, and adaptive regulation of red, green, and blue light output based on combination of upper computer LabVIEW and controller STM32.PC based on LabVIEW monitor environmental parameters,and call or choose PPFD setting value of red, green, blue three bands of light based on expert database. The controller communicating with LabVIEW wirelessly through WiFi module, conducts real-time detection and adaptive regulation on photosynthetic photon flux density (PPFD) of red, green and blue bands according to PPFD setting value. This intelligent supplemental lighting system meets the requirement of plants for lighting environment and greatly saving energies through adaptive adjustment of PPFD of red, green and blue bands in environment according to the setting based on different supplemental lighting demands of different plants or the same plant in different growth stages for PPFD and light quality ratio.

The bending control in archwire-bending process is critical to the orthodontic archwire bending robot. In order to improve the manual bending efficiency and increase forming precision of angle and displacement of orthodontic archwire, the control system of the orthodontic archwire bending robot is designed in this paper. Software and Hardware are design of the orthodontic archwire bending Robot based on LabVIEW and ATmega2560. This system has special characteristic of simplicity of operator, high running speed, high automated level and high reliability.

Electrical capacitance tomography (ECT) is an effective technique for visualizing the distribution of dielectric materials inside a closed pipe or vessel. The design of an ECT system based on LabVIEW is described in this paper. The system can be divided into three parts: sensor system, data acquisition system, and imaging computer. The data acquisition system designed takes C8051F700 MCU as the core to acquire capacitance data. The computer implements the functions such as data processing, image reconstruction, image display and system control. Serial communication is used between the data acquisition system and the computer. LabVIEW, a graphical programming language, is chosen as the development environment. An optimal thresholding scheme is proposed which can reduce low grey-level artifacts effectively. Equipped with a classic ECT sensor or a direct 3D ECT sensor, the system designed can work in 2D reconstruction mode or direct 3D reconstruction mode. The software design in LabVIEW is focused on.