• ETRI Journal
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• v.35 no.4
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• pp.617-624
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• 2013

Low power consuming and highly responsive semiconductor-type microelectromechanical systems (MEMS) gas sensors are fabricated for real-time environmental monitoring applications. This subsystem is developed using a gas sensor module, a Bluetooth module, and a personal digital assistant (PDA) phone. The gas sensor module consists of a $NO_2$ or CO gas sensor and signal processing chips. The MEMS gas sensor is composed of a microheater, a sensing electrode, and sensing material. Metal oxide nanopowder is drop-coated onto a substrate using a microheater and integrated into the gas sensor module. The change in resistance of the metal oxide nanopowder from exposure to oxidizing or deoxidizing gases is utilized as the principle mechanism of this gas sensor operation. The variation detected in the gas sensor module is transferred to the PDA phone by way of the Bluetooth module.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.2
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• pp.109-116
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• 2016

Sensing module of standing and moving human body using shutter method was developed. The module consists of Fresnel lens, pyroelectric infrared (PIR) sensor, interface circuit of the PIR, micro control unit(MCU), and alarm light emitting diode(LED). The principle for standing human body is chopping the thermal of human body using camera shutter. The human sensing signal in MCU by algorithm of interrupt function is detected. By unifying an apparatus and print circuit board(PCB), the developed module can be replaced as commercial moving human body detector. Experiment results show that sensing distance is about 7.0m and sensing angles is about $110^{\circ}$ at room temperature. In these condition, sending ratio was 100% and the power dissipation of the module was 100mW.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1524-1525
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• 2007

A flexible tactile sensor module based on polyimide matrix integrated with sensing elements and pluggable terminals connector was fabricated by polymer micromachining technology for robotic applications. The tactile sensor arrays are composed of $4{\times}4$, $8{\times}8$ and $16{\times}16$ sensing elements connected with pluggable terminals connector, respectively. Especially, both the tactile sensor array and the pluggable terminals are formed in the sensor module during the fabrication process. The fabricated tactile sensor module is measured continuously in the normal force range of $0{\sim}1N$ with tactile sensor auto-evaluation system. The value of resistance is relatively increased linearly with normal force in the overall range. The variation rate of resistance is about 2.0%/N in the range of $0{\sim}0.6N$ and 1.5%/N in the range of $0.6{\sim}1N$. Also, the flexibility of the sensing module is adequate to be placed on any curved surface as cylinder because the matrix consists of polymer and metal thin film.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.795-808
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• 2020

Due to the poor evaluation indexes such as detection accuracy and recall rate when Yolov3 network detects aircraft in remote sensing images, in this paper, we propose a remote sensing image aircraft detection method based on machine vision. In order to improve the target detection effect, the Inception module was introduced into the Yolov3 network structure, and then the data set was cluster analyzed using the k-means algorithm. In order to obtain the best aircraft detection model, on the basis of our proposed method, we adjusted the network parameters in the pre-training model and improved the resolution of the input image. Finally, our method adopted multi-scale training model. In this paper, we used remote sensing aircraft dataset of RSOD-Dataset to do experiments, and finally proved that our method improved some evaluation indicators. The experiment of this paper proves that our method also has good detection and recognition ability in other ground objects.

• The Journal of Korea Robotics Society
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• v.18 no.2
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• pp.197-202
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• 2023

This paper studies the method to extend the sensing range of a fiducial maker using a tilt camera. In the system that uses a fiducial marker to estimate their position on a map, the sensing range of the marker is an important issue. Although there are markers around, a robot with a fixed camera often misses nearby markers in the case that the viewing angle of the camera does not cover the sensing range of the marker. If the robot adjusts the viewing angle of a camera by adjusting the position information of the markers, this problem will be solved. The contribution of this paper is as follows. 1) Structural considerations for the tilting module of cameras attached to robots. 2) Tilting module control method considering the position of a marker and a robot. 3) Finally, verification of the differences in the sensing range of markers between the proposed system and the previous system.

• Journal of Advanced Marine Engineering and Technology
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• v.25 no.2
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• pp.311-320
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• 2001

Since 1998 for protection of marine pollution, all ships must have oil filtering equipment and 15ppm bilge alarms which satisfy Requirements of MARPOL 73/78. Oily-water separator used in machinery area of ships usually consists of two parts; one is filtering equipment and the other is oil content meter(OCM). This study presents optical characteristics of bilge were acquired form oil content sensing module. The oil content sensing module consists of IR-LED light source, photo-diode light receivers, and a glass tube for bilge water sample. The experiment with the bilge water demonstrates various valuable optical properties. These optical properties suggest notes and guides to make the low-cost, easy operation and good performance commercial type OCM that satisfy the requirements of MARPOL 73/78.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1071-1076
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• 2015

This paper proposed an efficient algorithm for tension sensing smart fence system with wireless sensor transmission module installation and alarming services. The wired transmission system demonstrates high accuracy and low latency, but the cost is expensive and transmission error may occur. For these reasons, this paper presented to use wireless transmission communication using Zigbee module technology in order to decrease delay and latency and solve the battery issues.

• Journal of Information Technology Applications and Management
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• v.28 no.6
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• pp.87-95
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• 2021

Recently interest for air pollution is gradually increasing. However, according to the environmental assessment of air quality, the level of air pollution in the nation is quite serious, and air pollutants measuring facilities are also not enough. In this paper, a secure air pollutants sensor system based low power wireless communication is designed and implemented. The proposed system is composed of three parts: air pollutants measuring sensors module, LoRa-based data transmission module, and monitoring module. In the air pollutants measuring module, the MSP430 board with six big air pollutants measuring sensors are used. The air pollutants sensing data is transmitted to the control server in the monitoring system using LoRa transmission module. The received sensing data is stored in the database of the monitoring system, and visualized in real-time on the map of the sensor locations. The implemented air pollutant sensor system can be used for measuring the level of air quality conveniently in our daily lives.

• Journal of Advanced Navigation Technology
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• v.14 no.4
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• pp.545-552
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• 2010

In this paper, we study on a radio multiple sensing interface module to accurately decide serious error sources that are happened by unexpectable problems in industrial fields, in addition, we study a reliability improvement scheme to guarantee the integrity of multiple sensing data. For multiple sensing interface module, communication drivers such as USART, TWI, ADC and GPIO-I2C are implemented. to improve the transmission reliability, reed-Solomon code is used. From the simulation result of this system in indoor environment, we confirm that the reliability of RS coded data is improved about 5 times than uncoded data. Moreover, we prove that multiple sensing interface module is suitable to diagnose error sources of industrial automaton equipment.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1091-1100
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• 2022

As deep learning technology advances and various high-resolution remote sensing images are available, interest in using deep learning technology and remote sensing big data to detect buildings and change in urban areas is increasing significantly. In this paper, for semantic building segmentation of high-resolution remote sensing images, we propose a new building segmentation model, Convolutional Block Attention Module (CBAM)-DRUNet that uses the DeepResUNet model, which has excellent performance in building segmentation, as the basic structure, improves the residual learning unit and combines a CBAM with the basic structure. In the performance evaluation using WHU dataset and INRIA dataset, the proposed building segmentation model showed excellent performance in terms of F1 score, accuracy and recall compared to ResUNet and DeepResUNet including UNet.