• Journal of Sensor Science and Technology
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• v.24 no.5
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• pp.331-341
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• 2015

In this paper, real-time water quality monitoring system of small water supply facilities based on IEEE 802.15.4e-2012 DSME MAC and IEEE 802.15.4g-2012 PHY standard is presented, which is capable to acquire for highly reliable water quality information in the wide outdoor areas for effective water quality management of small water quality facilities is distributed in the long distance and remote areas. Previously, Long distance transmission is difficult in most water quality sensor module is using RS-485 protocol. But with this system, even in harsh outdoor environment, it is possible to establish a radio wave sensor in a wide area network, and not only water quality sensor shall be connected to the wireless system, but also wireless integrated management system shall provide more effective way of management of the numerous small water supply facilities spread throughout the community, so that the administrator can remotely monitor the data of water turbidity, pH, residual chlorine in the water-supply, water-level, and generate alarm to cope with risks. The management of small water facilities is done by residents will be very effective to notice water quality information of small water facilities to residents.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.977-985
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• 2021

The LiDAR sensor is attracting attention as a key sensor for autonomous driving vehicle. LiDAR sensor provides measured three-dimensional lengths within range using LASER. However, as much data is provided to the external system, it is difficult to process such data in an external system or processor of the vehicle. To resolve these issues, we develop integrated processing system for LiDAR sensor. The system is configured that client receives data from LiDAR sensor and processes data, server gathers data from clients and transmits integrated data in real-time. The test was carried out to ensure real-time processing of the system by changing the data acquisition, processing method and process driving method of process. As a result of the experiment, when receiving data from four LiDAR sensors, client and server process was operated using background or multi-core processing, the system response time of each client was about 13.2 ms and the server was about 12.6 ms.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.1-9
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• 2018

In the fourth industrial revolution, which has become an issue now, we have been able to receive instant analysis results faster than the existing slow speed through various Big Data technologies, and to conduct real-time monitoring on mobile and web. First, various irregular sensor Data is generated using IoT device, Raspberry Pi. Sensor Data is collected in real time, and the collected data is distributed and stored using several nodes. Then, the stored Sensor Data is processed and refined. Visualize and output the analysis result after analysis. By using these methods, we can train the human resources required for Big Data and mobile related fields using IoT, and process data efficiently and quickly. We also provide information that can confirm the reliability of research results through real time monitoring.

• KIEAE Journal
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• v.9 no.5
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• pp.97-104
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• 2009

In the process of urban development, the increase in the number and the complexity of urban facilities gives rise to a variety of problems, such as increase in construction and maintenance cost. In particular, taking into account the fact that an emergency situation in an urban facility can cause substantial loss of property as well as casualties, it becomes important to intelligently perceive states of facilities and properly execute countermeasures through real-time monitoring. In recent years, practitioners and researchers have made efforts to improve current passive and manpower-dependent facility management systems to be more active and intelligent, by applying diverse ubiquitous computing technologies for the u-City project. In this study, after discussing major drawbacks of the conventional facilities management, the concept and the model of a sensor-based integrated intelligent management system for urban facilities are proposed. The proposed model, by analyzing and processing real-time sensor data from urban facilities, not only supports the management of individual facilities, but also enables the detection of complex facility-related events and the process of their countermeasures. This active and intelligent management of urban facilities is expected to overcome the limitation of the conventional facilities management, and provide more suitable facility management services for the u-City development.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1733-1751
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• 2015

The IEEE 802.15.4 standard not only provides a maximum of seven guaranteed time slots (GTSs) for allocation within a superframe to support time-critical traffic, but also achieves ultralow complexity, cost, and power in low-rate and short-distance wireless personal area networks (WPANs). Real-time wireless body area sensor networks (WBASNs), as a special purpose WPAN, can perfectly use the IEEE 802. 15. 4 standard for its wireless connection. In this paper, we propose an adaptive GTS allocation scheme for real-time WBASN data transmissions with different priorities in consideration of low latency, fairness, and bandwidth utilization. The proposed GTS allocation scheme combines a weight-based priority assignment algorithm with an innovative starvation avoidance scheme. Simulation results show that the proposed method significantly outperforms the existing GTS implementation for the traditional IEEE 802.15.4 in terms of average delay, contention free period bandwidth utilization, and fairness.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.567-568
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• 2018

In recent years, there have been frequent occurrences of collapsing buildings and tilting accidents due to frequent earthquakes and aging of buildings. Various methods have been proposed to prevent disasters on these buildings. In this paper, we propose a system algorithm that provides an indication of anomalous phenomena such as collapse and tilting of buildings by real - time monitoring of IoT (Internet of Things) - based architectural anomalies. The multi-advanced sensor is based on the Inclinometer sensor and the Accelerometer sensor, transmits the detected data to the server in real time, accumulates the data, and provides the service to cope when the set threshold value is different. It is possible to evacuate and repair the collapse and tilting of the building by warning the occurrence of the upper threshold event event such as the collapse and tilting of the building.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.4
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• pp.686-691
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• 2008

This paper proposes the concept of "virtual sensor data" and its application for real time obstacle avoidance. The virtual sensor data is virtual distance which takes care of the movement of the obstacle as well as that of the robot. In practical application, the virtual sensor data is calculated from the odometry data and the range sensor data. The virtual sensor data can be used in all the methods which use distance data for collision avoidance. Since the virtual sensor data considers the movement of the robot and the obstacle, the methods utilizing the virtual sensor data results in more smooth and safer collision-free motion.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.199-204
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• 2017

Recently, the reagent in the laboratory can not only confirm the internal environment through the sensor but also check the status inside the reagent cabinet in real time. Also, if an abnormality occurs in the inside of the reagent cabinet, a serious accident may occur. To solve these problems, this paper proposes a reagent monitoring system that integrates reagent and ICT. The sensor data measured in real time is displayed to the user in real time through the monitor and stored in the database. In addition, by using the stored data, it is possible to inform the registered administrator in real time of the dangerous situation by informing the dangerous situation in case of danger, and to be able to check and control remotely. This can improve safety by making control and confirmation of the state of the inside of the reagent everywhere.

• 한국정보컨버전스학회:학술대회논문집
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• 2008.06a
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• pp.71-74
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• 2008

The current middleware, managing the bridges equipped whit sensor networks on real-time basis, merely processes the data collected from the sensor networks, In this study, we develop a very versatile middleware which mediates between sensor nodes and exclusive applications or web browsers. It collects and processes the data from the network. On database failures, it stores the data in a file and sends them to the database at a proper speed considering the rate of the database system when the database is restored. Lastly, in order to notice abnormality of the bridge to the operators when some problems occur in the bridge, we propose a mechanism for producing alarm signals.

• Transactions of Materials Processing
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• v.31 no.2
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• pp.103-108
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• 2022

Systematic quality control based on real time data is required for modern factories. This study introduced a method of predicting punch wear in the trimming process of automobile parts. Based on monitoring data of the mass production process using a bolt-type piezo sensor, it was shown that precursor symptoms of die wear could be predicted from the change in load pattern with respect to production volume. The load pattern that changed according to the wear of the die was verified by numerical analysis.