• Journal of the Semiconductor & Display Technology
• /
• v.22 no.4
• /
• pp.48-52
• /
• 2023

From the past to the present, banners are consistently used as effective advertising means. In the case of Korea, there are frequent situations in which hidden advertisements are installed. As a result, such hidden advertisement materials may damage urban aesthetics and moreover, incur unnecessary manpower consumption and waste of money. The proposed method classifies the detected banners into good banner and bad banner. The classification results are based on whether the relevant banners are installed in compliance with legal guidelines. In the process, YOLO and Open Computer Vision library are used to determine from various perspectives whether banners in CCTV images comply with the guidelines. YOLO is used to detect the banner area in CCTV images, and OpenCV is used to detect the color values in the area for color comparison. If a banner is detected in the video, the proposed method calculates the location of the banner and the distance from the designated bulletin to determine whether it was installed within the designated location, and then compares whether the color used in the banner is complied with local government guidelines.

• Journal of the Korean Institute of Telematics and Electronics S
• /
• v.36S no.1
• /
• pp.70-80
• /
• 1999

In this paper, a new hierarchical image segmentation algorithm based on human visual system(HVS) characteristic is proposed which can efficiently reduce and control transmission information quantity without the degradation of the subjective and objective image quality. It consists of image segmentation based on mathematical morphology and region merging considering HVS characteristic for the pairs of two adjacent regions at each level of the hierarchy. Image segmentation is composed of 3-level hierarchical structure. In the region merging structure of each level, we extract the pairs of two adjacent regions which human vision can't discriminate, and then merge them. The proposed region merging method extracts pairs of two neighbor regions to be merged and performs region merging according to merging priority based on HVS characteristics. The merging priority for each adjacent pair is determined by the proposed merging priority function(MPF). First of all, the highest priority pair is merged. The information control factor is used to regulate the transmission information at each level. The proposed segmentation algorithm can efficiently improve bottleneck problem caused by excessive contour information at region-based very low bit rate coding. And it shows that it is more flexible structure than that of conventional method. In experimental results, though PSNR and the subjective image quality by the proposed algorithm is similar to that of conventional method, the contour information quantity to be transmitted is reduced considerably. Therefore it is an efficient image segmentation algorithm for region-based very low bit rate coding.

• Journal of the Institute of Convergence Signal Processing
• /
• v.24 no.1
• /
• pp.27-33
• /
• 2023

Recently, water shortages have occurred due to climate change, and the need for water management of agricultural water has increased due to the occurrence of algal blooms in reservoirs. Existing algae prevention is operated by putting many people on site and misses the optimal spraying time due to movement through boats. In order to solve this problem, it is necessary to block contamination in advance and move within time to uniformly spray complex microorganisms uniformly. Control drones are used for pesticide spraying and can be applied to algae prevention work by utilizing control drones. In this paper, basic research for the establishment of a marine control system was conducted for application to the reservoir environment, and as one of the results, the characteristics of a drone nozzle, a core technology that can be used for control drones, were calculated. In particular, it was found that the existing agricultural control drones had a disadvantage that the concentration was non-uniform within the suggested spraying interval, and to compensate for this, nozzle positioning and nozzle spraying uniformity were calculated. Based on the experimental results, we develop a core algorithm for establishing an algal bloom monitoring system in the reservoir environment and propose a precision control technology that can be used for marine control work in the future.

• Journal of Environmental Policy
• /
• v.6 no.2
• /
• pp.97-122
• /
• 2007

In 2006, the Ministry of Environment of the Republic of Korea, completed the construction on national environmental geographic informations including National Environmental Assessment Map, Ecological Map, Land Cover Map and so on. At this point of time, it is necessary to establish the advance strategy on national environmental geographic information, considering the complicated characteristics. Therefore, this study suggests the advance strategy on national environmental geographic information, reflecting results of analyzing the given condition and the trend of informatization. National environmental geographic information has spacial quality to be managed dispersedly in a department unit or an operations unit. According to this quality, requirements for users who need the policy based on national environmental geographic information and complex information are not satisfactory. And, the information system centering the process of administrative affairs should be converted to one putting decision supporting first in importance. Therefore, this study sets up "the realization of the sustainable land management system by advancing national environmental geographic information" as the vision of the advancing strategy. In order to accomplish the vision, this study established the purpose as follow; constructing strategic and geographic information based on knowledge, arranging the foundation to open information to the public transparently, building expanded and integrated national environmental geographic information, embodying the environmental administration based on national environmental geographic information, enhancing the efficiency of national environmental geographic information, and supporting efficiently the process of administrative affairs. And this study suggests executive plans to achieve the vision and the purpose as next; developing the quality control program to verify the information confidence, building the system to integrate and to provide environmental information, collecting information, readjusting laws and regimes in parts of the construction, the application and the management of the system, and operating the task process, human power, organization and information technology. This study puts the emphasis on providing the turning opportunity politically which is possible to make sure of the information confidence in quality, advancing from the expansion of one in quantity. However, this improvement strategy doesn't reflect all national environmental geographic information and current status of environmental administrations. Therefore, for applying the result of this study to the actual environmental administration, it is necessary to discuss regularly the systematic categorization of national environmental geographic information, to interview with the contracting parties and so on hereafter.

• Journal of Institute of Control, Robotics and Systems
• /
• v.22 no.2
• /
• pp.139-146
• /
• 2016

Recently, popularity of 3D technology has been growing significantly and it has many application parts in the various fields of industry. In order to overcome the limitations of 2D machine vision technologies based on 2D image, we need the 3D measurement technologies. There are many 3D measurement methods as such scanning probe microscope, phase shifting interferometry, confocal scanning microscope, white-light scanning interferometry, and so on. In this paper, we have used the extended depth of focus (EDF) algorithm among 3D measurement methods. The EDF algorithm is the method which extracts the 3D information from 2D images acquired by short range depth camera. In this paper, we propose the EDF algorithm using the edge informations of images and the average values of all pixel on z-axis to improve the performance of conventional method. To verify the performance of the proposed method, we use the various synthetic images made by point spread function(PSF) algorithm. We can correctly make a comparison between the performance of proposed method and conventional one because the depth information of these synthetic images was known. Through the experimental results, the PSNR of the proposed algorithm was improved about 1 ~ 30 dB than conventional method.

• Journal of Institute of Control, Robotics and Systems
• /
• v.11 no.12
• /
• pp.1051-1061
• /
• 2005

This paper proposes a ubiquitous robot, Ubibot, as an integration of three forms of robots: Software robot (Sobot), Embedded robot (Embot) and Mobile robot (Mobot). A Sobot is a virtual robot, which has the ability to move to any place or connect to any device through a network in order to overcome spatial limitations. It has the capacity to interpret the context and thus interact with the user. An Embot is embedded within the environment or within physical robots. It can recognize the locations of and authenticate the user or robot, and synthesize sensing information. Also it has the ability to deliver essential information to the user or other components of Ubibot by using various types of output devices. A Mobot provides integrated mobile service. In addition, Middleware intervenes different protocols between Sobot, Embot, and Mobot in order to incorporate them reliably. The services provided by Ubibot will be seamless, calm and context-aware based on the combination of these components. This paper presents the basic concepts and structure of Ubibot. A Sobot, called Rity, is introduced in order to investigate the usability of the proposed concepts. Rity is a 3D synthetic character which exists in the virtual world, has a unique IP address and interacts with human beings through Vision Embot, Sound Embot, Position Embot and Voice Embot. Rity is capable of moving into a Mobot and controlling its mobility. In doing so, Rity can express its behavior in the virtual world, for example, wondering or moving about in the real world. The experimental results demonstrate the feasibility of implementing a Ubibot in a networked environment.

• Journal of Korean Society of Transportation
• /
• v.21 no.2
• /
• pp.63-70
• /
• 2003

Real-time information on vehicle queue at intersections is essential for optimal traffic signal control, which is substantial part of Intelligent Transport Systems (ITS). Computer vision is also potentially an important element in the foundation of integrated traffic surveillance and control systems. The objective of this research is to propose a method for detecting an exact queue lengths at signalized intersections using image processing techniques and a neural network model Fuzzy ARTMAP, which is a supervised and self-organizing system and claimed to be more powerful than many expert systems, genetic algorithms. and other neural network models like Backpropagation, is used for recognizing different patterns that come from complicated real scenes of a car park. The experiments have been done with the traffic scene images at intersections and the results show that the method proposed in the paper could be efficient for the noise, shadow, partial occlusion and perspective problems which are inevitable in the real world images.

• Journal of Korean society of Dental Hygiene
• /
• v.13 no.2
• /
• pp.343-350
• /
• 2013

Objectives : The objective of this study is to analyze about learning styles and self-regulated learning strategies of dental hygiene students and to find methods that may increase learning outcomes by selecting effective learning methods. Methods : The subjects of this study are 524 dental hygiene students in region of chonbuk from May, 2012 to June, 2012. collected informations are analyzed with SPSS. Results : 1. 38.1%, assimilator is most of learning styles of dental hygiene students, followed by 29.7%, converger, 16.2%, diverger, 15.8%, accommodator. 2. 28.0%, converger and diverger are most of subjects whose grade score is between 2.0-2.9, 41.50%, accommodator is most of 3.0-3.4, and 41.61% accommodator is most of 3.5-3.9, and 28.0%, converger is most of subjects whose grade score is more than 4.0. this results has statistically signification(p<0.01). 3. $8.71{\pm}1.78$, assimilation strategy is most self-regulated learning strategies of dental hygiene students, followed by $8.26{\pm}1.94$, control strategy, $7.52{\pm}2.00$, memorization strategy. accommodator is most showed $7.82{\pm}2.24$, $9.13{\pm}1.74$, $8.71{\pm}2.20$ in memorization strategy, assimilation strategy, control strategy. 4. It is showed that assimilator is significantly related with satisfaction for major(p<0.01), accommodator is significantly related with academic records(p<0.05), and diverger is significantly negative related with academic records, through the results of the analysis of factors that affects learning styles. Conclusions : Organizing above results, It is considered that instructor needs to acknowledge learning styles of students through understanding about various learning styles of students, and may has to develop suitable teaching method for students based on that.

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.4
• /
• pp.221-230
• /
• 2008

We Studied current Flight Information System everyone employing, and this paper designed a next generation Ubiquitous Flight Information System. Studied a Ubiquitous Flight Information System regarding AVOD, game TV, cellular phone, cabin Internet use for a customer, and airline and control of Air Traffic Service, Air Traffic Control, in seat reservation, transportation, ticketing and luggage back-tracking and airplanes in earthly service. We Designed for a Next Generation Ubiquitous Flight Information System and for necessary for network security, system security of information security system, and derived from comparative analysis of improvement point and difference to existing Ubiquitous Flight Information System and Next Generation Ubiquitous Flight Information as was based on result of research. Present vision to aerial the result of research world of this paper related industry, and ensure safety and communication efficiency and a customer and flight satisfaction, efficiency, and will reclaim the new horizon to the Flight Information Industry.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.18 no.1
• /
• pp.53-59
• /
• 2008

Recently, vision-based hand gesture recognition techniques have been developed for assisting elderly and disabled people to control home appliances. Frequently occurred problems which lower the hand gesture recognition rate are due to the inter-person variation and intra-person variation. The recognition difficulty caused by inter-person variation can be handled by using user dependent model and model selection technique. And the recognition difficulty caused by intra-person variation can be handled by using fuzzy logic. In this paper, we propose multivariate fuzzy decision tree learning and classification method for a hand motion recognition system for multiple users. When a user starts to use the system, the most appropriate recognition model is selected and used for the user.