• Journal of The Korean Society of Agricultural Engineers
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• v.56 no.5
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• pp.29-36
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• 2014

The purpose of this study is to improve the Generic Agricultural Systems Simulator (GASS) which can simulate various rural systems based on object-oriented model. GASS provides the configuration platform of various system components to simplify integrated agricultural system models such as irrigation systems for rice farming. The new connection and communication modules of GASS improve applicability for modelling diverse systems. The geometric connection of GASS replaces topological connection, and communication protocols expand to analyze not only homogeneous system but also heterogeneous system. In this paper, we applied GASS2 to simulate the water heights of linked tanks and the simulation outputs were verified through comparing with analytical solutions of differential equations. The two new modules make it possible to analyze the 4-tank problem which includes topological and heterogenous issues with GASS2.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.3
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• pp.285-290
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• 2016

In rural area, our farmers confront decreasing benefits owing to imported crops and increased cost. Recently, the government encourage the 6th Industry that merges farming, rural resources, and information and communication technology. Therefor the government makes an investment in supplying 'smart greenhouse' in which a farmer monitor growing crops and environment information to control growing condition. The objective of this study is developing an Moving Monitor and Control System for crops in green House. This system includes a movable sensing unit, a controlling unit, and a server PC unit. The movable sensing unit contains high resolution IP camera, temperature and humidity sensor and WiFi repeater. It rolls on a rail hanging beneath the ceiling of a green house. The controlling unit contains embedded PC, PLC module, WiFi router, and BLDC motor to drive the movable sensing unit. And the server PC unit contains a integrated farm management software and home pages and databases in which the images of crops and environment informations. The movable sensing unit moves widely in a green house and gathers lots of information. The server saves these informations and provides them to customers with the direct commercing web page. This system will help farmers to control house environment and sales their crops in online market. Eventually It will be helpful for farmers to increase their benefits.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.15-21
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• 2023

This paper is a study on the development of an artificial intelligence model that recognizes a hole cup on a golf green. A CNN-based object detection algorithm was used to recognize the hole cup on the green. Also, Apple's CreateML was used to create a model of the object detection algorithm. This paper created a JSON file with 120 training images and annotations to meet the needs of CreateML. In addition, for more accurate learning, data amplification algorithm was used for learning data and 288 learning data were used for learning. By changing the Iterations, Batch size, and Grid size required by CreateML, we found parameter values that improve the performance of the model. A prototype app was developed by applying the developed model, and performance was measured on an actual golf course green using the prototype app. As a result of the measurement, it was found that the hole cup was accurately recognized within 10m, which is the typical golfer's putting distance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.349-354
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• 2020

The preliminary investigation to expand the green space requires a lot of cost and time. In this paper, we solve the problem by measuring the ratio of green space in a specific region through a convolutional neural network based the green space classification using Google Earth images. First, the proposed method collects various region images in Google Earth and learns them by using the convolutional neural network. The proposed method divides the image recursively to measure the green space ratio of the specific region, and it determines whether the divided image is green space using a trained convolutional neural network model, and then the green space ratio is calculated using the regions determined as the green space. Experimental results show that the proposed method shows high performance in measuring green space ratios in various regions.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.64-69
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• 2022

The current research examines whether consumers' preference for credit card benefits (i.e., general credit card benefits vs. credit card benefits related to green life) differs according to their pro-environmental disposition. Specifically, we predict that for consumers with high (vs. low) pro-environmental disposition, their preference for credit card benefits related to green life will be higher, while preference for general credit card benefits will not be different between low and high pro-environmental disposition groups. An online survey (N = 487) was conducted to test the hypotheses. Consistent with the hypotheses, the results indicate that (1) respondents with high pro-environmental donation intention, as compared to those with low pro-environmental donation intention, had higher preference for credit card benefits related to green life; and (2) there was no significant difference in preference for general credit card benefits between high and low pro-environmental donation intention groups. We suggest an important insight into how credit card companies approaching ESG issues can increase their consumers' preference for credit card benefits relevant to green life, considering consumers' individual differences such as pro-environmental disposition.

• Journal of Korean Society of Rural Planning
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• v.21 no.3
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• pp.171-179
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• 2015

The objectives of this research have been focussed on 1) developing prediction techniques for the flash flood and landslide based on rainfall prediction data in agricultural area and 2) developing an integrated forecasting system for the abrupt disasters using USN based real-time disaster sensing techniques. This study contains following steps to achieve the objective; 1) selecting rainfall prediction data, 2) constructing prediction techniques for flash flood and landslide, 3) developing USN and communication network protocol for detecting the abrupt disaster suitable for rural area, & 4) developing mobile application and SMS based early warning service system for local resident and tourist. Local prediction model (LDAPS, UM1.5km) supported by Korean meteorological administration was used for the rainfall prediction by considering spatial and temporal resolution. NRCS TR-20 and infinite slope stability analysis model were used to predict flash flood and landslide. There are limitations in terms of communication distance and cost using Zigbee and CDMA which have been used for existing disaster sensors. Rural suitable sensor-network module for water level and tilting gauge and gateway based on proprietary RF network were developed by consideration of low-cost, low-power, and long-distance for communication suitable for rural condition. SMS & mobile application forecasting & alarming system for local resident and tourist was set up for minimizing damage on the critical regions for abrupt disaster. The developed H/W & S/W for integrated abrupt disaster forecasting & alarming system was verified by field application.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.5
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• pp.167-172
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• 2014

Recently interest in energy is becoming increasingly amplified in the world. Green energy is the buzzword of the world's business community as well as governments also leave a green energy seonbongjang of economic recovery. According to the International Institute for Energy, it will be expected to invest in the field of green energy about 7 trillion dollar traslated into 7,000 trillian won around the world by 2030. Thus production, supply, reduce and reuse policies and techniques for green energy came pouring out like a flood. But there is a limit to the fuel supply in order to produce a power generation facility and the power supply that is essential. Reducing produced power efficiently is more important than the increasing of power production. At present, using a method that controls the equipment installed by measuring the environment for efficient control of the energy management of energy-consuming devices that are in use. But the reality is that many policies of national and corporate to did not work to solve a part of the energy savings. In this paper, I proposes a smart energy management system to control the equipment by using the accumulated data obtained with minimal changes in the environment using the energy.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.37 no.11
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• pp.23-31
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• 2000

In the layered medium, infinite Sommerfeld integral must be evaluated to calculate a space domain Green's function. The complex image method and the two-level method provide rapid calculation and accurate solutions in the near-field region. However, in the intermediate and far-field region, the solutions are inaccurate due to the deformation of the sampling contour. In this paper, we propose a method to calculate an accurate closed-form Green's function for coplanar structure by sampling data on the real axis.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1519-1527
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• 2012

In this paper, we have implemented Green House automation system. The system should be kept in optimal condition in real-time by checking the greenhouse environmental conditions in the greenhouse. In addition, it can be converted to temporarily the necessary equipment by converting to manual mode in the environment you want. Environmental data collected from the greenhouse is sent to your computer monitor, as well as it support the web-based system to enable immediate control through the web. Users can view the situation of the greenhouse in real time by using a web-based system and maintain automation features by deciding specified conditions for a greenhouse environment.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.4
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• pp.475-482
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• 2014

In this paper, we have implemented mobile based smart greenhouse system that can grasp and control the situation for greenhouse from distance. Using existing web based greenhouse system is controlled in real time, but it has a drawback used in limited place. To solve this problem, we have emphasized usability of smart greenhouse system by using mobile device. By using mobile devices (smartphones - the Android based) software we have to raise the comfort and productivity for grasping and controling the situation for greenhouse from distance.