• International conference on construction engineering and project management
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• 2022.06a
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• pp.705-711
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• 2022

Roadway lighting is an integral element of a highway system. Luminaires on roadways provide viewing conditions for drivers and pedestrians during nighttime in order to improve safety. It is time-consuming and labor-intensive to manually measure roadway illuminance at predetermined spots with a handheld illuminance meter. To improve the efficiency of illuminance measurement, a remote-control electrical cart and a drone were utilized to carry an illuminance meter for the measurements. The measurements were performed on the marked grid points along the pavement. To measure the illuminance manually, one person measures illuminance at each grid point with the handheld meter and another person records the illuminance value. To measure the illuminance with the remote-control cart, the illuminance meter is attached to the cart and it measures illuminance values continuously as the cart moves along the grid lines. With the drone, the meter records the illuminance continuously as the drone carries the meter and flies along the grid line. Because the drone can fly at different heights, the measurements can be done at different altitudes. The illuminance measurements using the cart and the drone are described in detail and compared with manual measurements in this paper. It is shown through this study that automated measurements can greatly improve the efficiency of roadway illuminance data measurements.

• Journal of Drive and Control
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• v.21 no.3
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• pp.1-8
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• 2024

Electric cart, one of the many devices created to aid golfers, combines software and wireless technology with over 200 different parts and computers. It is designed to be controlled remotely and can be started or stopped using a remote control while on the golf course. However, one recurring issue is the frequent derailment of the electric cart during operation. This problem not only hampers game performance but also causes delays as drivers lose focus. The objective of this study is to enhance the driving system of autonomous electric carts, which are controlled by the driver's signals, in order to address the issue of derailments. These autonomous carts follow a line tracer on the course. By examining the evolution of golf carts and the safety enhancements implemented in current models, we propose to supplement the autonomous driving system to increase safety and improve the performance of these electric carts.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.429-430
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• 2022

현재 코로나로 인한 각 나라의 입국 제한이 사라지면서 국내외 여행 예약률 증가에 따라 그만큼 비행기 예약도 늘어나고 있다. 그런데 객실 승무원의 근무 환경은 매우 열악하기 때문에 육체적, 정신적 피로를 누적되게 한다. 이는 승객에게 양질의 서비스를 제공할 수 없게 하고 안전사고를 대처하는 데 있어 문제가 된다. 본 논문은 객실 승무원이 스마트폰 앱을 이용하여 편리하게 객실 상황을 확인하고, 원격 제어하며 서빙카트를 조작하여 승객의 주문에 대한 서비스를 제공하는 '원격제어가 가능한 비행기 객실 관리 시스템'을 제안한다. 이 시스템을 이용함으로써 객실 승무원은 객실 상황을 판단하여 즉각적인 대처를 할 수 있고, 항공기 효율적 운용을 위한 안전성과 정시성을 확보하는 데 도움이 될 것이다.

• Korean Journal of Remote Sensing
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• v.33 no.5_3
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• pp.879-888
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• 2017

This study is a preliminary research conducted in Buhansan mountain National Park to develop a management system to predict and control oak wilt disease by indicating spatial factors which affect diffusion of the disease. After analysing altitude factor during the estimation of spatial analysis of damaged area, it is indicated that damaged trees are mainly distributed at altitude of 200-500 m and number decreased drastically over the altitude of 500 m. The result showed that 92% of total damaged trees are on slope between 20~40 degrees and the number decreased drastically on slope steeper than 40 degrees. It is indicated that damaged area is mainly distributed on southern aspect. It is estimated by using CART that slope factor affected the diffusion of disease mostly but aspect factor did not. Surface temperature and altitude showed similar effect.By simulating possible diffusion scenario, it is estimated that the disease could spread to DO-BONG Mt., northeast of Bukhansan mountain.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.471-479
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• 2018

Recently, the spread of smart TV based Android iOS Set Top box has become common. This paper propose a new approach to control the TV using gestures away from the era of controlling the TV using remote control. In this paper, the AdaBoost algorithm is applied to gesture recognition by using a mono camera. First, we use Camshift-based Body tracking and estimation algorithm based on Gaussian background removal for body coordinate extraction. Using global and local feature vectors, we recognized gestures with speed change. By tracking the time interval trajectories of hand and wrist, the AdaBoost algorithm with CART algorithm is used to train and classify gestures. The principal component feature vector with high classification success rate is searched using CART algorithm. As a result, 24 optimal feature vectors were found, which showed lower error rate (3.73%) and higher accuracy rate (95.17%) than the existing algorithm.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.1
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• pp.27-32
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• 2014

In this study, active and recently in the field of vocational rehabilitation of persons with disabilities in the industry engaged in the primary mission of assisting you want to promote activation of devices that can perform the work of the harvest cart or unattended devices such as tool boxes and tracking system developed. This system is manually moved from a remote user is able to control, and also, the ability to track users unattended mounted. The system developed in this study in the field of vocational rehabilitation in order to allow all sides to assess more than three meters in open space system for the Y-and W-course driving range of the error from the final destination 5 times the period analyzed. Analysis of the user's tracking system developed without any problem and that could know.