• Journal of Integrative Natural Science
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• v.12 no.1
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• pp.1-8
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• 2019

Smart pole is one of mega trend in smart city development. It has multi-function to get as much as data from the street to better city management. And smart street lighting of smart pole as core part of smart city development is being implemented by many cities in globally. Refer to the latest edition of Navigant Research's Smart City Tracker includes smart city projects in 221 cities, a quarter of which are deploying smart street lighting ranging from initial pilots to citywide and regional deployments that span tens and even hundreds of thousands of lights. The most important feature of smart street lighting solution is "Connectivity" through the IoT technology. In order to implement the smart city, we should have so-called intelligent watchdog and mesh networked post for keeping the various smart city technology development progress and operation properly. Smart street lighting solution could be main infrastructure as an enabler for a range of smart city applications. We can talk about the expected role of smart street lighting for the smart city development on this paper.

• Journal of Integrative Natural Science
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• v.12 no.1
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• pp.14-19
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• 2019

In this paper, we propose a system for controlling the brightness of street lights by predicting pedestrian paths, identifying the position of pedestrians with motion sensing sensors and obtaining motion vectors based on past walking directions, then predicting pedestrian paths through the route prediction smart street lighting system. In addition, by using motion vector data, the pre-treatment process using linear interpolation method and the fuzzy system and neural network system were designed in parallel structure to increase efficiency and the rough set was used to correct errors. It is expected that the system proposed in this paper will be effective in securing the safety of pedestrians and reducing light pollution and energy by predicting the path of pedestrians in the detection of movement of pedestrians and in conjunction with smart street lightings.

• Journal of Integrative Natural Science
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• v.12 no.4
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• pp.105-115
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• 2019

In this paper, a prediction system is proposed to control the brightness of smart street lamps by predicting the moving path through the reduction of consumption power and information of pedestrian's past moving direction while meeting the function of existing smart street lamps. The brightness of smart street lamps is adjusted by utilizing the walk tracking vector and soft hand-off characteristics obtained through the motion sensing sensor of smart street lamps. In addition, the motion vector is used to analyze and predict the pedestrian path, and the GPU is used for high-speed computation. Pedestrians were detected using adaptive Gaussian mixing, weighted difference imaging, and motion vectors, and motions of pedestrians were analyzed using the extracted motion vectors. The preprocessing process using linear interpolation is performed to improve the performance of the proposed prediction system. Fuzzy prediction system and neural network prediction system are designed in parallel to improve efficiency and rough set is used for error correction.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.58 no.2
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• pp.154-157
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• 2009

In order to give handiness to the management of the existing street lighting system which is based on the one way communication and to reduce the maintenance cost, the power line communication filter in the two way communication which is based on the CDMA communication and power line communication was improved and accordingly the stability of the communication performance was improved. Also, the efficiency of existing street lighting system and smart street lighting system was evaluated as Visual studio system. As a result, when the number of street lights is 10,000, the hours of daily work fell 50% and the number of necessary maintenance staff decreased 40%. Compared to the maintenance costs of the existing street lighting system, it could be expected to have the cut costs of almost 100 million won a year on the basis of 60 switch board and 1,200 street lights.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.537-550
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• 2018

The development focus of a smart city has been changed gradually from a physical development aspect to a space development aspect. In a space development aspect, the major application technologies are Environment Technology (ET), Information Technology (IT) and Environment Information Technology. On the other hand, it is unclear if the space convergence in a smart city has been changed by the 3 technologies. Therefore, specific analysis was performed on the convergence change of smart city 4 spaces (District, Street, Building, Facility) using the 3 technologies. The convergence distribution ratio according to the periods (period 1 : 1972~1999, period 2 : 2000~2009, period 3 : 2010~2017) among the spaces, ET (Environment Technology), IT (Information Technology), ET+IT (Environment Information Technology) in a smart city were examined. The smart city was high in the order of 'District (53/43%) - Building (36/29.1%) - Street (22/17.9%) - Facility (12/10.0%)' in the number of applications and ratio of convergence (Technology Convergence) at Period 1 (1972~1999). The smart city was high in the order of 'District (223/32.4%) - Building (197/28.6%) - Street (195/28.3%) - Facility (74/14.8%)' in the number of applications and ratio of convergence (Technology Convergence) at Period 2 (2000~2009). At period 3, the District (467/33%) was also the highest. On the other hand, the street (384/27.4%) was higher than the building (361/25.8%) and facility (188/13.4%) in smart city space. Fourth, the smart city was high in the order of 'District - Building - Street - Facility' in the number of applications and ratio of convergence (Technology Convergence) at Periods 1 (1972~1999) and 2 (2000~2009). In contrast, the average of number was high in the order of 'Building - Street - District - Facility'. At period 3(2010~2017), the number of applications and the ratio of convergence was high 'District - Street - Building - Facility'; the average of number was the same as in period 1 and 2. As a result, smart city space has been changed by the development of macroscopic urban spaces in the initial stage. Since then, district space-centric development and building space are confused with devices/technologies and changed for citizen inflow. The building space has evolved continually and smart city space will be expected to revitalize the street space connecting completed buildings.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.195-196
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• 2018

In this paper, we introduce a new interworking control method of street lights using Zigbee modules. When a street light detects a moving object, the street light informs other street lights that it detected a moving object. A street light turns on for a predetermined time when it detects a moving object or it has received an information of detecting a moving object from other street lights.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.1
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• pp.30-38
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• 2011

The modern warfare needs sharing tactical situation and Command and Control(C2) capacity. Lately, developing of C2 System for Soldiers has dramatically increased according to increase of asymmetric state of hostilities like a guerilla war or a street-to-street fighting. In this paper, we explain the concepts of C2 System for Soldiers and Smart Phone. We describe the proposed system composed of HMD equipment, Smart Phone, and exclusive software. This system provides that Soldiers have C2 capacity and share the image of a visual field. It also offers efficient military power disposition and understanding tactical situation in operations.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2010.06a
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• pp.283-283
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• 2010

Smart street light controller is a product with advance micro controller base for energy saving in conventional street lighting systems. Intelligent Street light controller are specially developed for automation and energy saving in conventional street light systems and lighting systems. It is so designed that it operates on sunrise & sun set timings according to longitude of particular location with facilitate to set month wise civil twilight timings to cope up with all seasons. Dimming (Power down) mode selection switch on/off at fixed times with relay or contactor. Night dimming, staggering and intelligent control reduces burn hours and increases the lifetime of lamps with about 30% and low annual operating cost type base are among the most inexpensive wireless technologies available. Low initial costs As PLC wireless, there is no need to establish cable connection.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.1
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• pp.25-31
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• 2011

LEDs are becoming the most suitable candidate replacing traditional fluorescent street-light lamps because of its energy efficiency and high brightness. Furthermore, most countries are urging to pursue energy savings in conjunction with IT and sensor network. In order to conserve energy of LED lamp and ensure the safety of pedestrian, we propose a new smart control method for LED light system based on USN using compound sensors, such as illuminance, motion, temperature and humidity sensor. An elaborate simulation shows that the proposed system with a smart control based switching can reduce the energy by 40%, compared to the previous street-light system with a fixed time based switching.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.867-878
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• 2021

Recently, there has been active research on smart street lamps that can collect real-time traffic data and provide traffic information by attaching images and radars to road lighting facilities. Smart street light technology can detect, identify, and provide dense information compared to existing technologies. In order to effectively utilize the smart streetlight as a high-resolution information delivery medium, a branch-type operation strategy that is different from the existing centralized operation strategy is required. This study presents dynamic information delivery strategies, release strategies, and their criteria for various purposes in a spatial range, separated by the context before and after the occurrence of smart street lights-based accidents. Through this, it is expected that smart road lighting facilities can be used more effectively.