• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1418-1432
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• 1997

Most general content_based image retrieval techniques use color and texture as retrieval indices. In color techniques, color histogram and color pair based color retrieval techniques suffer from a lack of spatial information and text. And This paper describes the design and implementation of content_based image retrieval system using color space and keywords. The preprocessor for image retrieval has used the coordinate system of the existing HSI(Hue, Saturation, Intensity) and preformed to split One image into chromatic region and achromatic region respectively, It is necessary to normalize the size of image for 200*N or N*200 and to convert true colors into 256 color. Two color histograms for background and object are used in order to decide on color selection in the color space. Spatial information is obtained using a maximum entropy discretization. It is possible to choose the class, color, shape, location and size of image by using keyword. An input color is limited by 15 kinds keyword of chromatic and achromatic colors of the Korea Industrial Standards. Image retrieval method is used as the key of retrieval properties in the similarity. The weight values of color space ${\alpha}(%)and\;keyword\;{\beta}(%)$ can be chosen by the user in inputting the query words, controlling the values according to the properties of image_contents. The result of retrieval in the test using extracted feature such as color space and keyword to the query image are lower that those of weight value. In the case of weight value, the average of te measuring parameters shows approximate Precision(0.858), Recall(0.936), RT(1), MT(0). The above results have proved higher retrieval effects than the content_based image retrieval by using color space of keywords.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.587-593
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• 2019

The field of geospatial information is rapidly changing due to the development of sensor and data processing technology that can acquire location information. And demand is increasing in various related industries and social activities. The construction and utilization of three dimensional geospatial information that is easy to understand and easy to understand can be an essential element to improve the quality and reliability of related services. In recent years, 3D laser scanners are widely used as 3D geospatial information construction technology. However, 3D laser scanners may cause shadow areas where data acquisition is not possible when objects are large in size or complex in shape. In this study, 3D model of an object has been created by acquiring oblique images using an unmanned aerial vehicle and processing the data. The study area was selected, oblique images were acquired using an unmanned aerial vehicle, and point cloud type 3D model with 0.02 m spacing was created through data processing. The accuracy of the 3D model was 0.19m and the average was 0.11m. In the future, if accuracy is evaluated according to shooting and data processing methods, and 3D model construction and accuracy evaluation and analysis according to camera types are performed, the accuracy of the 3D model will be improved. In the point cloud type 3D model, Cross section generation, drawing of objects, and so on, it is possible to improve work efficiency of spatial information service and related work.

• Journal of The Korean Association For Science Education
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• v.33 no.1
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• pp.193-207
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• 2013

The purpose of this study was to investigate middle school and science-gifted students' conceptions about motion of objects on the surface of the earth and the moon. The subjects were 61 first-, 51 second-, 51 third-year students, for a total of 163 in a middle school and 32 science-gifted students from a university-affiliated sciencegifted education center for secondary school students. The research contents were conceptions about motion of objects by the vertical direction, an inclined plane and horizontal plane on the surface of the earth and the moon. The questions were as follows: If two balls, same size but different mass, were put on, thrown over, by the vertical direction, an inclined plane and a horizontal plane on the surface of the earth and the moon at the same time and speed, which one would arrive faster than the other?; In the same mass in the earth and the moon, how fast could the object reach to which location, the earth or the moon? The results showed that science-gifted students offer meaningful difference on the concept of objects in motion at the vertical direction, an inclined plane and a horizontal plane on the earth and at the vertical direction on the moon than general middle school students. There were meaningful difference on the vertical up direction, an inclined plane and a horizontal plane in the same situation in the earth and the moon. Finally, based on the results of our study, we discuss possible educational implications for teaching the concept of objects in motion.

• Journal of Biosystems Engineering
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• v.28 no.6
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• pp.511-516
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• 2003

Computer vision technology has been utilized as one of the most powerful tools to automate various agricultural operations. Though it has demonstrated successful results in various applications, the current status of technology is still for behind the human's capability typically for the unstructured and variable task environment. In this paper, a man-machine interactive hybrid decision-making system which utilized a concept of tole-operation was proposed to overcome limitations of computer image processing and cognitive capability. Tasks of greenhouse watermelon cultivation such as pruning, watering, pesticide application, and harvest require identification of target object. Identifying water-melons including position data from the field image is very difficult because of the ambiguity among stems, leaves, shades. and fruits, especially when watermelon is covered partly by leaves or stems. Watermelon identification from the cultivation field image transmitted by wireless was selected to realize the proposed concept. The system was designed such that operator(farmer), computer, and machinery share their roles utilizing their maximum merits to accomplish given tasks successfully. And the developed system was composed of the image monitoring and task control module, wireless remote image acquisition and data transmission module, and man-machine interface module. Once task was selected from the task control and monitoring module, the analog signal of the color image of the field was captured and transmitted to the host computer using R.F. module by wireless. Operator communicated with computer through touch screen interface. And then a sequence of algorithms to identify the location and size of the watermelon was performed based on the local image processing. And the system showed practical and feasible way of automation for the volatile bio-production process.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.426-435
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• 2010

The object of this study was to develop an index of service quality of waterparks and verify the validity and reliability of the index. This study represents the waterparks user population in 2009, and 250 people were extracted by using the purposive sampling method. In other words, five locations have major waterparks were chosen and 50 people per each location were collected. Conference, panel survey, exploratory factor analysis and confirmatory factor analysis were performed to verify the validity of the questionnaire while item analysis, interrater reliability and internal consistency reliability were conducted to probate the reliability. Through these methods and procedures, the results of this study like these; (i) Validity of this index was significantly high and the index include amenity/cleanness, safety, price, programs, facilities, accessibility and promotion. Among them, amenity/cleanness was the major factor for the validity value; (ii) Reliability of this index was also high. There are high correlations between questions and fields and questions and total score. And the Cronbach's $\alpha$ values of the internal consistency reliability was over 0.603 except in the case of promotion which was below 0.6. After all the analysis, the index of service quality proved to be very proper and reliable index. Therefore, the major factors of service quality have to be figured out and reflected to the management innovation to improve service quality of waterparks.

• Journal of architectural history
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• v.21 no.5
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• pp.33-46
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• 2012

The purpose of this study lies on reinterpreting the geography books in Joseon dynasty as records of the cities and consequently suggesting directions for further urban research. Geography books of Joseon dynasty are valuable references to understand the national policy, and imply that the focus of the contents is on the system. Especially, military system is an important concept to understand city type in that period, relationships between cities, selection of location, etc. The results of review are as following: First, military system is not a permanent fixture and therefore reflects changes in urban policies along with the history. The system suggests valuable clues on urban development as it is state-run, and closely associated with national land development. Second, counties and prefectures under jurisdiction of district called Eupchi(邑治) had cities as important as or even more important than local government such as Yeong-a(營衙), Jinbo(鎭堡), Yeok(驛: administrative cities). Such special regions need to be studied as other type of cities in Joseon dynasty by defining their architectural characteristics and roles. Third, the relationship of cities such as Eupch, Yeong-a, and Jinbo, was reorganized according to the local military system. Eupchi, administrative city, along with Yeong-a and Jinbo evolved into a military city as it became systematically organized. The characteristics of Yeok needs to be reconsidered in the context of such new inter-city relationship. Fourth, considerations which should be reviewed in the geography based on this concept can be mainly classified into architecture and landscape. This will also lay the foundation, and suggest new directions for further research for Eupchi, Yeong-a, Jinbo, and Yeok. Fifth, description of the geography looks simple at first sight, but with thorough understating on the system, there are chances to interpret objective reasoning of position and landscape in the overall flow of region, area, etc. Bongsu(烽燧), signal-fire, can be an object of comparison with geographical features and position. Furthermore, advantageous position is a historical and geographical element showing the major context of the region.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.141-148
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• 2021

In some intersections or busy traffic roads, there are more pedestrians in a specific period of time, and there are many traffic accidents caused by road congestion. Especially at the intersection where there are schools nearby, it is particularly important to protect the traffic safety of students in busy hours. In the past, when designing traffic lights, the safety of pedestrians was seldom taken into account, and the identification of motor vehicles and traffic optimization were mostly studied. How to keep the road smooth as far as possible under the premise of ensuring the safety of pedestrians, especially students, will be the key research direction of this paper. This paper will focus on person, motorcycle, bicycle, car and bus recognition research. Through investigation and comparison, this paper proposes to use YOLO v4 network to identify the location and quantity of objects. YOLO v4 has the characteristics of strong ability of small target recognition, high precision and fast processing speed, and sets the data acquisition object to train and test the image set. Using the statistics of the accuracy rate, error rate and omission rate of the target in the video, the network trained in this paper can accurately and effectively identify persons, motorcycles, bicycles, cars and buses in the moving images.

• Korean Journal of Remote Sensing
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• v.39 no.1
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• pp.77-86
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• 2023

Ship detection is widely used in areas such as maritime security, maritime traffic, fisheries management, illegal fishing, and border control, and ship detection is important for rapid response and damage minimization as ship accident rates increase due to recent increases in international maritime traffic. Currently, according to a number of global and national regulations, ships must be equipped with automatic identification system (AIS), which provide information such as the location and speed of the ship periodically at regular intervals. However, most small vessels (less than 300 tons) are not obligated to install the transponder and may not be transmitted intentionally or accidentally. There is even a case of misuse of the ship'slocation information. Therefore, in this study, ship detection was performed using high-resolution optical satellite images that can periodically remotely detect a wide range and detectsmallships. However, optical images can cause false-alarm due to noise on the surface of the sea, such as waves, or factors indicating ship-like brightness, such as clouds and wakes. So, it is important to remove these factors to improve the accuracy of ship detection. In this study, false alarm wasreduced, and the accuracy ofship detection wasimproved by removing wake.As a ship detection method, ship detection was performed using machine learning-based random forest (RF), and convolutional neural network (CNN) techniquesthat have been widely used in object detection fieldsrecently, and ship detection results by the model were compared and analyzed. In addition, in this study, the results of RF and CNN were combined to improve the phenomenon of ship disconnection and the phenomenon of small detection. The ship detection results of thisstudy are significant in that they improved the limitations of each model while maintaining accuracy. In addition, if satellite images with improved spatial resolution are utilized in the future, it is expected that ship and wake simultaneous detection with higher accuracy will be performed.

• The KIPS Transactions:PartD
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• v.11D no.1
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• pp.105-114
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• 2004

In this paper, we propose a collaboration method of diverse agents each others in multi-agent model and describe a node migration algorithm of Mobile-Agent (MA) using by the metadata of Naming-Agent (NA). Collaboration work of multi-agent assures stability of agent system and provides reliability of information retrieval on the distributed environment. NA, an important part of multi-agent, identifies each agents and series the unique name of each agents, and each agent references the specified object using by its name. Also, NA integrates and manages naming service by agents classification such as Client-Push-Agent (CPA), Server-Push-Agent (SPA), and System-Monitoring-Agent (SMA) based on its characteristic. And, NA provides the location list of mobile nodes to specified MA. Therefore, when MA does move through the nodes, it is needed to improve the efficiency of node migration by specified priority according to hit_count, hit_ratio, node processing and network traffic time. Therefore, in this paper, for the integrated naming service, we design Naming Agent and show the structure of metadata which constructed with fields such as hit_count, hit_ratio, total_count of documents, and so on. And, this paper presents the flow of creation and updating of metadata and the method of node migration with hit_count through the collaboration of multi-agent.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.115-123
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• 2024

In this paper, we propose a vibration notification system that combines navigation information and wearable bands to ensure safe driving for the transportation vulnerable. This system transmits navigation driving information to a linked application, converts it into a vibration signal, and provides notifications through a wearable band. Existing navigation systems focus on providing route guidance and location information, so the driver's concentration is dispersed, and safety and convenience are deteriorated, especially for those with mobility impairments, due to standard vision and delayed recognition of stimuli, resulting in an increasingly high traffic accident rate. To solve this problem, navigation driving information is converted into vibration signals through a linked application, and vibration notifications for events, left turns, right turns, and speeding are provided through a wearable band to ensure driver safety and convenience. In the future, we will use cameras and vehicle sensors to increase awareness of safety inside and outside the vehicle by adding a function that provides notifications with vibration and LED when the vehicle approaches or recognizes an object, and we will continue to conduct research to build a safer driving environment. plan.