• Journal of Korea Multimedia Society
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• v.17 no.5
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• pp.556-565
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• 2014

This paper proposes a method to track object of real-time video transferred through single web-camera and to recognize risk-situation and human actions. The proposed method recognizes human basic actions that human can do in daily life and finds risk-situation such as faint and falling down to classify usual action and risk-situation. The proposed method models the background, obtains the difference image between input image and the modeled background image, extracts human object from input image, tracts object's motion and recognizes human actions. Tracking object uses the moment information of extracting object and the characteristic of object's recognition is moment's change and ratio of object's size between frames. Actions classified are four actions of walking, waling diagonally, sitting down, standing up among the most actions human do in daily life and suddenly falling down is classified into risk-situation. To test the proposed method, we applied it for eight participants from a video of a web-cam, classify human action and recognize risk-situation. The test result showed more than 97 percent recognition rate for each action and 100 percent recognition rate for risk-situation by the proposed method.

• Journal of the Semiconductor & Display Technology
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• v.16 no.4
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• pp.97-102
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• 2017

Object detection and tracking have become one of the most active research areas in the past few years, and play an important role in computer vision applications over our daily life. Many tracking techniques are proposed, and Camshift is an effective algorithm for real time dynamic object tracking, which uses only color features, so that the algorithm is sensitive to illumination and some other environmental elements. This paper presents and implements an effective moving object detection and tracking to reduce the influence of illumination interference, which improve the performance of tracking under similar color background. The implemented prototype system recognizes object using invariant features, and reduces the dimension of feature descriptor to rectify the problems. The experimental result shows that that the system is superior to the existing methods in processing time, and maintains better problem ratios in various environments.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.161.5-161
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• 2001

Robots are required to assist our activities in daily life. In this paper, we focus on arm movement to catch moving object as one of important tasks frequently performed by human. We propose an algorithm which enables a robot to perform human-like arm motion to catch a moving object. First we analyze human hand trajectories and velocity profiles to catch an object. From the experimental results, we extract some characteristics in the process of approaching and following a moving object and confirm that these are necessary to realize human-like motion. We then adopt an instantaneous optimal control method which evaluates the error and energy cost at each sampling step, and design two time-varying weight matrices to introduce human characteristic into robot motion. The matrix concerning the error is defined as a time-increasing ...

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.21-26
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• 2009

A sensor system capable of automatically recognize activities would allow many potential Ubiquitous applications. This paper presents a new system for recognizing the activities of daily living(ADL) like walking, running, standing, sitting, lying etc. The system based on the state-dependent motion analysis using Tri-Accelerometer and Zigbee tag. Two accelerometers are used for the classification of body and hand activities. Classification of the environment and instrumental activities is performed based on the hand interaction with an object ID using.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2002.10a
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• pp.249-252
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• 2002

This model is the daily streamflow model of the Korean watersheds has been developed to simulate the daily streamflow with the data of daily rainfall and pan evaporation. Parameters of this model are the water balance parameters composed Umax, Lmax, FC, CP, and CE and the routing parameters composed $U_i,\;k_1\;and\;k_2$. Among these parameters, CE value is applied one fixed value during the year and coefficient of initial ion K is empirically determined by 0.2. The object of this research is to improve the DAWAST model by application of the monthly value of CE for evapotranspiration and the revised K value for the initial abstraction.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.4
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• pp.105-110
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• 2008

Recently computer technologies have been actively applied in our daily life such as music and game, etc. One representative example is rhythm game. In the paper, we develop a new rhythm game using PC with two drums attached based on object-oriented software engineering.

• Journal of Nutrition and Health
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• v.6 no.2
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• pp.25-33
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• 1973

With the object of the study id every possible correlation between daily food intake and growth rate of primary school students, aged eleven years old, the author distributed prepared questionnaires through 200 children of 5th grade in both sexes in K private primary school, Seoul. Specific object of this study were included following three points: such as daily food intake records for six days. daily food intake records for six days. school records of sample children at the end of 4th grade. physical growth index calculated by means of weight and height of sample children at the first part of the 5th grade. CR. t. F. test as well as percentage calculations were included for statistical analysis. The result of this study were as follows: 1. For the living circumstances a) Average numbers of brother and sister in sampled family were two to three. b) Approximately 50%of the children were brought up by mother's milk at their infants and about 35% of children were weaned at the age of 7 to 12 months. c) Thirty to forty percent of the respondents revealed irregulity in their meal time due to early school time in the morning. d) Monthly average expenditure for daily food reached 20 to 29% out of total income. e) The most favorit foods reflect as follows: The most favorit main dish is boiled rice mixed with other careals and side dish beaf. Fruits and juice are more popular snack among whole children. 2. Nutrition survey a) The calcium and thiamine were the most limited factors out of daily nutrients consumption. b) The total calory intake were composed of carbohydrate 63%, protein 16% and fat 21% respectively. c) The total food intake were composed of 20 to 24% of animal source of foods and 76 to 80% of plant source of foods (vegetables, grains, fruits) d) The total protein intake were composed of 46% of animal protein and 54% of others. e) The grain stuffs consumed in the largest quantity at the level of 50% out whole food groups. f) Twenty four percent of total food intake came from snack between meal time. 3. The result of statistical analysis were as follows: a) The correlation between the calory intake and plysical growth index revealed statistical significancy at the level of p<0.001. b) The correlation between the protein intake and physical growth index revealed statistical significancy at the level of p<0.001. c) The correlation between the meal time and physical growth index revealed statistical significancy at the level of 0.02

• Fashion & Textile Research Journal
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• v.5 no.1
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• pp.17-24
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• 2003

Objet, which showed up with the art of 20C, is now an important element giving a creative idea to fashion designers in modern times. The purpose of the study is to review how the objet technique was paid attention and recreated in the fashion, through the analysis of works, and the formative features of each technique for fashion, in order to identify the connection of arts and fashion, and the position of fashion as art. The techniques using object appeared in the 20th century fashion are as follows: First, papier-colle, which is adding printed materials onto the surface, is such a technique that adds cut-feeling materials to impose a new texture, or arrange again the cloth-cuts to create a different clothing from the existing one, which went to the extension of materials in the fashion. Second, collage of daily materials expresses directly and emotionally through direct presentation of the objets. Especially, collage of patch-work is reproduced into a new fabric depending on the objet used, giving a standing over the form. Third, ready-made which presents the material meaning only of the objet expands the range of objets which could be used in the fashion by introducing the daily materials having a meaning itself as a fashion. Forth, an attempt to approach to the objets of popular image by designed techniques come out in modern fashion as a graffiti look or a typography look, making the clothing itself an objet to transmit a message directly to the masses. Introduction of various objets and development of expression technique brought out the diversification of materials, and enrichment and extension of expression sphere, which resultingly spreaded the freedom of expression and progressed into the art sphere, making a direct motif to solidify its standing as a formative art.

• The KIPS Transactions:PartD
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• v.12D no.1 s.97
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• pp.73-80
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• 2005

The purpose of using CBD in the object-oriented modeling is to improve the software capability by reducing iterative time and space complexity. Despites many achievements of CBD, it is needed to study about design patterns and it's standardization for the increment of CBD design reusability. However, it is rather possible that impetuous constructing meta-pattern languages and pattern repositories make adapting patterns to software development more complicate and difficult. By applying GoF design patterns to the design of the TMDL(Total Maximum Daily Load) environmental software discipline, this study suggests a method which specifies Pattern names at class names for retrieving, exploring the adapted patterns on the stage of software design without meta-pattern language which is a redundant abstraction, nor additional pattern repositories. Thus, this study can contribute on the reducing iterations and repetitions that are frequently occurred in the process of the environmental software developments.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.1-10
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• 2024

Individuals with visual impairments face numerous challenges in their daily lives, with navigating streets and public spaces being particularly daunting. The inability to identify safe crossing locations and assess the feasibility of crossing significantly restricts their mobility and independence. Globally, an estimated 285 million people suffer from visual impairment, with 39 million categorized as blind and 246 million as visually impaired, according to the World Health Organization. In Saudi Arabia alone, there are approximately 159 thousand blind individuals, as per unofficial statistics. The profound impact of visual impairments on daily activities underscores the urgent need for solutions to improve mobility and enhance safety. This study aims to address this pressing issue by leveraging computer vision and deep learning techniques to enhance object detection capabilities. Two models were trained to detect objects: one focused on street crossing obstacles, and the other aimed to search for objects. The first model was trained on a dataset comprising 5283 images of road obstacles and traffic signals, annotated to create a labeled dataset. Subsequently, it was trained using the YOLOv8 and YOLOv5 models, with YOLOv5 achieving a satisfactory accuracy of 84%. The second model was trained on the COCO dataset using YOLOv5, yielding an impressive accuracy of 94%. By improving object detection capabilities through advanced technology, this research seeks to empower individuals with visual impairments, enhancing their mobility, independence, and overall quality of life.