Earticle

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.

A FBG wavelength demodulation system based on the continuous dynamic scanning of tunable distributed feedback (DFB) laser is put forward and implemented. First, this paper introduces the basic principle of FBG wavelength demodulation system; second, the demodulation algorithm as the key of whole system is realized and compiled into DLL files by using the C programming language, then the Labview program calls for DLL files through a dynamic link library to establish a data processing program, including a interactive data processing interface. Not only it improves the accuracy of FBG wavelength demodulation system, also it helps the subsequent development on the system even though the hardware equipments keep invariant. The results show that the demodulation system has a fine resolution and stability, which can meet the practical requirements and be suited to produce in business and put into use in the engineering.

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.

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.

Removal of noises from real-time speech signal is a typical problem. The signal interference initiated by background noise is a major problem in voice communication systems. Adaptive Filtering methods have emerged as an important technology for communication systems. This technique has been employed to improve the quality of the speech signal by cancelling the undesirable phenomenon such as acoustic noise. In this paper, for the removal of additional noise from speech signal an adaptive filter has been designed using LMS, NLMS, SLMS and VSS-LMS algorithms. This paper presents the instigation of Least Mean Square algorithm (LMS), Normalized Least Mean Square algorithm (NLMS), Sign Least mean square algorithm (SLMS) and Variable step size (VSS) algorithm on an infinite impulse response (IIR) filter using adaptive filter toolkit of LabVIEW software. User interface is designed using LabVIEW to obtain the learning curves for these adaptive algorithms. The final results show the comparison of the performance of the entire proposed algorithms with each other. The complete performance of the designed system in terms of stability and convergence rate has been observed.

In this paper, we propose to prevent compressor surge and control rotating speed for UAV turbojet engine. Turbojet engine controller is designed by applying PID control algorithm and it was applied to the linearized turbojet engine model. To prevent any surge or a flame out event during the engine acceleration or deceleration, the PID controller effectively controls the fuel flow input of the control system. PID results are used as the fuel flow control inputs to prevent compressor surge and flame-out for turbojet 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. The simulation result using the designed PID controller verified that quickly converge to the desired speed and properly control fuel flow rate while preventing the surge and flame out event.