• Journal of Korea Multimedia Society
• /
• v.8 no.7
• /
• pp.943-952
• /
• 2005

This paper proposes a user's mobility based cooperative proxy caching policy for effective resource management of continuous media objects in mobile environments. This policy is different from the existing proxy caching policies in terms of how to exploit users' mobility. In other words, existing caching policies work based on the information about objects by referring to users' requests within a specified domain whereas the proposed caching policy runs by utilizing a number of users' requests across several domains. So, the proposed policy is applicable to random requests in mobile environments. Moreover, we also propose a replacement policy based on weights and playback time. To check the efficiency of the proposed caching policy, the proposed replacement policy is run with different size of caching unit: object or segment. The result of performance evaluation tells that segment sizes, ratio of users' mobility and weights are major factors for the efficient operation of the cooperative caching.

• Herbal Formula Science
• /
• v.21 no.2
• /
• pp.110-120
• /
• 2013

Objectives : The object of this study was to observe the pharmacological effects of Yookmijihwang-tang-gamibang (Liuweidihuang-tang-jiaweifang, YGB) consisted of 17 types of herbs has been traditionally used in Korean medicine for treating various disorders in clinics, aqueous extracts on the genetically obese and type II diabetic C57BL/6JHam-ob/ob(ob/ob) mice. Methods :Three different dosages of YGB were orally administered, once a day for 28 days to ob/ob mice with ob/ob control and C57BL/6JJms normoglycemic intact mice. Four weeks after treatments of YGB: the changes on the body weight, food consumption, blood glucose levels, leptin and adiponectin contents were observed for monitoring the antiobese and antidiabetic effects of YGB. The effects were compared to those of CLA(conjugated linoleic acid) which improve type II diabetes and inhibit related obesity. Results : After end of 28 days of continuous treatments, ob/ob control showed increases of adipocyte hypertrophy, vasodilated atrophic glomerulus which were detected with marked hyperplasia of pancreatic islets, insulin and glucagon producing cells. These obese and related type II diabetes induced in ob/ob mice were markedly and significantly inhibited by 28 days of continuous treatment of three dosages of YGB. The YGB 50mg/kg showed similar favorable effects on the diabetes and related diabetic complications as compared with CLA 750mg/kg in ob/ob mice of the present study. Conclusions : The results obtained in this study suggest that over 25mg/kg of YGB extracts favorably retarded the obese and type II diabetes in genetically obese and type II diabetic ob/ob mice.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.1
• /
• pp.71-80
• /
• 2012

This paper proposes vehicle detection and tracking algorithm using a CCD camera. The proposed algorithm uses Haar-like wavelet edge detector to detect features of vehicle and estimates vehicle's location using calibration information of an image. After that, extract accumulated vehicle information in continuous k images to improve reliability. Finally, obtained vehicle region becomes a template image to find same object in the next continuous image using SURF(Speeded Up Robust Features). The template image is updated in the every frame. In order to reduce SURF processing time, ROI(Region of Interesting) region is limited on expended area of detected vehicle location in the previous frame image. This algorithm repeats detection and tracking progress until no corresponding points are found. The experimental result shows efficiency of proposed algorithm using images obtained on the road.

• Korean Institute of Interior Design Journal
• /
• v.24 no.2
• /
• pp.100-107
• /
• 2015

The paper begins with the idea of the society of the continued rooms that building connects architectural space (building interior) and urban open space (urban interior) or countryside/rural open space (territorial interior). It gives an account of, through literature review, a theoretical possibility of integrating not only architecture and urbanism but also architecture and countryside/rural planning. The first site explores the continuously articulated and connected spaces between building interior, urban interior, and territorial interior, in understanding Alberti's analogy, "A house is a little city." (1452) The second site illustrates architecture as an open boundary and a spatial medium which makes building, urban, and territorial interiors connect and makes them continuous. There is an opportunity of reading the continued relations and the continua of spaces. The third site deals with the form of building that architecture creates for building interior (society of rooms) and urban interior (society of urban rooms), and moderates the interiors. The last site clarifies the territorial interior (society of countryside/rural rooms) that constitutes homogeneous spatiality moderated by architecture between building interior and urban interior. The paper discusses the society of the continued interiors(building/urban/territorial interiors) that ought to be a fundamental truth in the field of every project which deals with a unit of space. It logically clarifies the society of the interiors, not isolated and blocked off but multilayered and continued. It comes to the conclusion that the territorial interior should be subsumed under the design field and the society of the continued rooms ought to be considered as a united object of space in the fields of interior architecture/design, architecture, landscape, urbanism and countryside/rural planning. Ultimately, it aims at offering a departing point of discourse and a theoretical foundation for the future studies on urban interior and territorial interior.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.9 no.1
• /
• pp.83-89
• /
• 2007

As tunnel excavation generats stress release, a stability security of tunnel face is mainly important in case of tunnel excavation in the weak grounds. Using the steel bar or glass fiber pipe which had regular hardness, a face bolt method to reinforce previously is applied to an excavation object tunnel face aspect among measures methods regarding this. Therefore, used $FLAC^{3D}$ Ver. 2.1 on 5 Case of 0.5D (2EA), 1.0D, 1.5D, 2.0D with the length and 6 Case of 0, 20, 40, 60, 80, 100EA with the number of the bolt that a face bolt method was installed at these papers in the necessary weak grounds in order to review applicability of the tunnel face reinforcement method that used these face bolts, and executed three dimension continuous analysis.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.1
• /
• pp.370-381
• /
• 2012

Multi-criteria result extraction is crucial in many scientific applications that support real-time stream processing, such as habitat research and disaster monitoring. Skyline evaluation is computational intensive especially over continuous time-interval data streams where each object has its own customized expiration time. In this work, we propose TI-Sky - a continuous skyline evaluation framework. To ensure correctness, the result space needs to be continuously maintained as new objects arrive and older objects expire. TI-Sky strikes a perfect balance between the costs of continuously maintaining the result space and the costs of computing the final skyline result from this space whenever a pull-based user query is received. Our key principle is to incrementally maintain a partially precomputed skyline result space - however doing so efficiently by working at a higher level of abstraction. TI-Sky's algorithms for insertion, deletion, purging and result retrieval exploit both layers of granularity. Our experimental study demonstrates the superiority of TI-Sky over existing techniques to handle a wide variety of data sets.

• Journal of Digital Convergence
• /
• v.18 no.9
• /
• pp.373-378
• /
• 2020

With the continuous development of economic activities of influencer(people with social influence). Because of 'Influencers' bring huge economic benefits, all walks of life are creating their own 'influencers'. In the art exhibition industry, the 'influencer' art exhibition pays more attention to experiencing the audience. Although it reduces the professionalism of art exhibitions, it also lets more non-professional visitors to see and experience art exhibitions. In this paper, the write takes the 'influencer' art exhibition as the research object and divides into 'emotional immersion' and 'technological immersion', and analyzes the development status of 'influencer' art exhibition. It is a commercial marketing method to call art exhibition 'influencer'. But with the increasing demand of the public for art and culture consumption. the 'influencer' art exhibition, which can bring immersive cultural experience to the audience. It just meets the cultural consumption demand of the public. So that it has become one of the main forms of art exhibition. In the future, immersive 'influencer' art exhibition will become the main form of art exhibition. With continuous innovation and creativity, art professionalism and commercial marketing, the 'influencer' art exhibition will continue to develop.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.9
• /
• pp.1312-1319
• /
• 2022

This paper defines an effectiveness index for optical continuous observation of unknown space objects and presents a range of design variables combinations that can satisfy the effectiveness index from a telescope/mount control system perspective using integrated simulation. The overall system-level simulation was implemented and the tracking performance was analyzed by considering design variables such as target position prediction and frame rate, image processing time and measurement error, target trajectory characteristics, and maneuver performance of mount gimbal. As a result of the analysis, it was confirmed that the continuous tracking performance of the optical observation system is dependent on the combination of frame rate and mount maneuver performance. In a situation where an optical observation system is designed or a similar system is implemented using COTS, an appropriate combination of parameters between design variables can be found through effectiveness analysis simulation as in this study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.355-357
• /
• 2022

In this paper, as a positioning technology for predicting the movement path of a moving object using a recurrent neural network (RNN) model, which is a deep learning network, in an indoor environment, continuous location information is used to predict the path of a moving vehicle within a local path. We propose a movement path generation technique that can reduce decision errors. In the case of an indoor environment where GPS information is not available, the data set must be continuous and sequential in order to apply the RNN model. However, Wi-Fi radio fingerprint data cannot be used as RNN data because continuity is not guaranteed as characteristic information about a specific location at the time of collection. Therefore, we propose a movement path generation technique for a vehicle moving a local path in an indoor environment by giving the necessary sequential location continuity to the RNN model.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.2
• /
• pp.365-380
• /
• 2022

The target detection algorithm based on supervised learning is the current mainstream algorithm for target detection. A high-quality dataset is the prerequisite for the target detection algorithm to obtain good detection performance. The larger the number and quality of the dataset, the stronger the generalization ability of the model, that is, the dataset determines the upper limit of the model learning. The convolutional neural network optimizes the network parameters in a strong supervision method. The error is calculated by comparing the predicted frame with the manually labeled real frame, and then the error is passed into the network for continuous optimization. Strongly supervised learning mainly relies on a large number of images as models for continuous learning, so the number and quality of images directly affect the results of learning. This paper proposes a dataset STAR-24K (meaning a dataset for Space TArget Recognition with more than 24,000 images) for detecting common targets in space. Since there is currently no publicly available dataset for space target detection, we extracted some pictures from a series of channels such as pictures and videos released by the official websites of NASA (National Aeronautics and Space Administration) and ESA (The European Space Agency) and expanded them to 24,451 pictures. We evaluate popular object detection algorithms to build a benchmark. Our STAR-24K dataset is publicly available at https://github.com/Zzz-zcy/STAR-24K.