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.

절단 파워 예측은 가공 툴 또는 공작기계의 최적 설계를 가능하게 하므로 기술 개발에 소요되는 시간과 비용을 줄일 수 있다. 이러한 이유로 정확한 절단파워 예측은 설계과정에서 매우 중요한 부분이다. 본 연구에서는 파이프 절단 파워를 이론적으로 예측하고 실험을 통해 검증한다. 우선, slotting 절단 파워 계산식을 사용하여 파이프의 절단 파워를 예측한다. 다음으로 파이프 절단기로 파이프를 절단하는 실험을 진행하며, 파이프를 절단하는 동안 모터에서 소비하는 파워를 embedded 소프트웨어인 Labview로 측정한다. 그리고 이론으로 계산한 절단파워와 실험으로 측정한 절단파워를 비교하여 정확성을 검증한다. 본 연구에서 사용한 파이프의 재질은 SUS304와 AL6N01이다. 그리고 본 연구에서는 실험을 통해 AL6N01 재질의 specific power 값을 구하였으며 추후 이 재질의 절단 및 절삭파워를 예측하고 최적의 가공기 및 툴을 설계하는데 이 값을 활용할 수 있다.

Cutting power estimation can be used to select appropriate actuators in the design process of machine tools. Therefore, accurate estimation of cutting power is an important part of the design process. In this study, pipe cutting power is first calculated theoretically using the slotting cutting power equation and then verified experimentally. In this case, a pipe cutting machine is used to cut two pipes made of different materials. Power consumptions in the motor during pipe cutting are measured by using the embedded software, Labview, and NI hardware. The slotting cutting power equation can thus be confirmed easily comparing theoretically calculated cutting powers with experimentally measured cutting powers. The pipe materials used in this study are SUS304 and AL6N01. The specific cutting power of AL6N01 material is proposed through our cutting experiment. As a result, this cutting power can be used to design machining tools for AL6N01 material.

In this paper, a real-time condition diagnosis system for the lens injection molding process is developed through the use of LabVIEW. The built-in-sensor (BIS) mold, which has pressure and temperature sensors in their cavities, is used to capture real-time signals. The measured pressure and temperature signals are processed to obtain features such as maximum cavity pressure, holding pressure and maximum temperature by the feature extraction algorithm. Using those features, an injection molding condition diagnosis model is established based on a response surface methodology (RSM). In the real-time system using LabVIEW, the front panels of the data loading and setting, feature extraction and condition diagnosis are realized. The developed system is applied in a real industrial site, and a series of injection molding experiments are conducted. Experimental results show that the average real-time condition diagnosis rate is 96%, and applicability and validity of the developed real-time system are verified.

본 논문에서는 무인항공기용 소형 터보제트엔진에 대해 압축기 서지현상 및 화염소실을 방지하면서 과도응답 특성을 개선하는 제어기를 설계하였다. 터보제트 엔진의 가 감속 시 서지현상과 flame-out 현상을 방지하기 위해 연료 유량 제어 입력을 Fuzzy-PID 제어기로 생성하고 신속하고 안전하게 원하는 속도로 수렴할 수 있도록 제어기 설계한다. LabVIEW을 이용한 시뮬레이션을 통해 PID와의 응답특성 비교 분석 및 신속하고 안전하게 원하는 속도로 수렴하는 제어 성능을 확인하였다.

In this paper, Propose to prevent compressor surge and improve the transient response of the fuel flow control system of turbojet engine. Turbojet engine controller is designed by applying Fuzzy-PID control algorithm. To prevent any surge or a flame out event during the engine acceleration or deceleration, the Fuzzy-PID controller effectively controls the fuel flow input of the control system. Fuzzy-PID results are used as the fuel flow control inputs to prevent compressor surge and flame-out for turbo-jet engine and the controller is designed to converge to the desired speed quickly and safely. Using LabVIEW to perform computer simulations verified the performance of the proposed controller. Response characteristics pursuant to the gain were analyzed by simulation.

The shoes process management monitoring system for supporting SCM is developed in this study. This system consists of a monitoring program, a conveyer system, a pneumatic unit, a controller, an USB camera, and a server and a client computer. To operate the developed system easily, the monitoring program using LabVIEW in the Windows environment is developed. This program consists of 5 modules: production management, inventory control, media management, defective management, and communication management. The developed system has several advantages: reduced time for managing process work, decreased labor costs, effective operation, and continuous work without an operator. Nowadays advanced manufacturing companies are trying to find a way to check the performance of their production equipments and plants from remote sites. Thus, to manage the developed system from remote sites, communication network is constructed. In order to evaluate the performance of the monitoring system, experiments were performed. The experimental results showed that the developed system provided a reliable performance and a stable communication.

A wind turbine monitoring system is essential equipment fur the performance evaluation and mechanical load analysis of a wind turbine. A monitoring system using LabVIEW is developed in this study. This system monitors signals from a meteorological mast, wind turbine generator, and tower. The discrete signals which are sampled at t Hz are automatically saved on a data file in the unit of a day. Besides these basic functions, the developed monitoring system has the other several capabilities. One of them is the information access from a remote PC through the internet. A vision image of the test site area and data files that are produced by LabVIBW software can be uploaded to the main computer located in a remote site. An emergency backup system using UPS fur the power loss on the monitoring HW is also prepared, A detail explanation for the developed wind turbine monitoring system is presented in this study.

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.

Steel making processes are highly energy intensive and comprised of many complex unit operations. Iron ore and coal need preprocessing before feeding into a reactor, and molten metal from different reactors needs to be carefully drawn into a solid metal and then rolled into sheets. Each of these operations has a stake in the quality of steel produced, and needs constant monitoring and need continuous power supply for fabrication. If a power failure occurs the production will be stopped, time delay increases for finishing fabrication. In some cases we can loss consumer due to unsatisfactory. My Project focuses the detection of power failure and takes reflex action to solve the problem with help of modem communication using GSM. The power failure will be intimated to the Microcontroller it drive the GSM modem to send a text message to the concern person mobile number which was already programmed in Microcontroller and also monitoring the parameter are temperature, oil level, fuel level and when they exceed predefined limits an automatically intimated to authorized person and also This system can be designed to send SMS alerts whenever the Circuit Breaker (Relay) trips and simulation result done by using LabVIEW software.

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.

In this paper, we are going to explore how we have successfully implemented the interaction of KUKA youBot with LabVIEW using NI hardware C-RIO 9025, ether CAT cable and VGA cable. KUKA has recently launched a major research and development effort towards designing a mobile manipulation platform. We have been able to control the movement of all the five axis of youBot and gripper control. With the help of VGA cable we were able to establish connection between the youBot and PC to align youBot in its “open arm position”. Real time motion of youBot is achieved using C-RIO that is real-time embedded controller.

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.

The aim of this project is to achieve a precise temperature control of boiler and it can be done by fuzzy logic controller. Fuzzy logic controller is computer generated and is easy to implement. Fuzzy logic controller being more efficient than other conventional controllers provide us with better and accurate results. MatLab simulation and Labview experimental results clearly show the amount of overshoot and settling time are modest, it also makes the boiler cost effective by achieving the target temperature in less time.