• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.5015-5022
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• 2010

Most of the existing pattern mining techniques are capable of searching patterns according to the continuous change of the spatial information of an object but there is no constraint on the spatial information that must be included in the extracted pattern. Thus, the existing techniques are not applicable to the optimal path search between specific nodes or path prediction considering the nodes that a moving object is required to round during a unit time. In this paper, the precision of the path search according to the spatial hierarchy is analyzed using the Spatial-Temporal Optimal Moving Pattern(with Frequency & Weight) (STOPM(FW)) algorithm which searches for the optimal moving path by considering the most frequent pattern and other weighted factors such as time and cost. The result of analysis shows that the database retrieval time is minimized through the reduction of retrieval range applying with the spatial constraints. Also, the optimal moving pattern is efficiently obtained by considering whether the moving pattern is included in each hierarchical spatial scope of the spatial hierarchy or not.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.451-458
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• 2011

In order to provide the optimal location based services such as the optimal moving path search or the scheduling pattern prediction, the extraction of significant moving pattern which is considered the temporal and spatial properties of the location-based historical data of the moving objects is essential. In this paper, for the extraction of significant moving pattern we propose the location generalization method which translates the location attributes of moving object into the spatial scope information based on $R^*$-tree for more efficient patterning the continuous changes of the location of moving objects and for indexing to the 2-dimensional spatial scope. The proposed method generates the moving sequences which is satisfied the constraints of the time interval between the spatial scopes using the generalized spatial data, and extracts the significant moving patterns using them. And it can be an efficient method for the temporal pattern mining or the analysis of moving transition of the moving objects to provide the optimal location based services.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.156-159
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• 2006

Self management of chronic asthma is of great importance, since the disease could lead the patient into an emergent situation. In the present study, we describe design and implementation of a personal digital assistant(PDA) based asthma management system for personal application including symptom and medication to prevent from the potential exacerbation of the disease. The software program was written by the Visual C++ tool in the mobile computing environment and Object Store was applied for data management. User friendly GUI environment was provided for the patient to input his/her daily condition and self treatment such as medication for successful management. The input screen design substituted for keyboard input to a mouse in order to easy to select an item and minimize the keyboard input. The implementation results of this system., Real-time data collection and process were possible and be able to have been carried effectively out a continuous symptom, a medication of asthma patients, risk management.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.634-637
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• 2007

Self management of chronic asthma is of great importance, since the disease could lead the patient into an emergent situation. In the present study, we describe implementation of a personal digital assistant(PDA) based asthma management system for personal application including symptom and medication to prevent from the potential exacerbation of the disease. The software program was written by the Visual C++ tool in the mobile computing environment and Object Store was applied for data management. User friendly GUI environment was provided for the patient to input his/her daily condition and self treatment such as medication for successful management. The input screen design substituted for keyboard input to a mouse in order to easy to select an item and minimize the keyboard input. The implementation results of this system., Real-time data collection and process were possible and be able to have been carried effectively out a continuous symptom, a medication of asthma patients, risk management.

• Spatial Information Research
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• v.17 no.2
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• pp.213-222
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• 2009

Finding exclusive closest pairs in road network is very useful to real applications such as, for example, finding a closest pair between a passenger and a nearby taxi in a road network. Few studies, however, have been interested in this problem. To match two close moving objects exclusively, one object must belong to only one result pair. Because moving objects in a road network change their position continuously, it is necessary to monitor closest pair results. In this paper, we propose a methodology to monitor k exclusive closest pairs via a road network. Proposed method only updates the results which are influenced by objects' movement. We evaluated the performance of the proposed method with various real road network data. The results show that our method produces better accuracy than normal batch processing methods.

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.682-693
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• 2013

Camouflage is evaluated by scientific principle in the fields of biology, military science, and art. It has a strong influence on contemporary fashion and means exposure with concealment. This study analyzed the visual characteristics of camouflage patterns in fashion design through documentaries and fashion photos. The fashion design results areas follow. The simple blending of a disruptive motif indicated an inaccurate repetition of a disruptive motif, the discontinuous or continuous connection of disruptive motif, the irregular repetition of a disruptive animal silhouette, the collage of a different disruptive motif, the craft of a disruptive motif and the intensive color match of a disruptive motif. It represented the maximization of complication, fantastic and fanciness. The overlap of a disruptive motif showed the overlap of disruptive print patterns with transparency and an overlap of different fabrics with a disruptive pattern. It represented spatial relationships of three dimensions as well as the maximization of visual illusion and the reinforcement of attractiveness. The blurring of a disruptive motif showed the pointage of disruptive motif, the pointage of image, value gradation, the whole blurring of a disruptive pattern cluster and stained appearance. It represented the obscurity of motif form, the uncertainty of object and double meaning. The trompe l'oeil of a partial background object showed the realistic and the painterly imitation of color and texture for partial objects through a close-up. It represented amazement and pleasure by illusion, scarcity and the decoration of surface and synecdochical remind. In conclusion, camouflage in fashion was weakened and modified from a classical military context by a unique expression of various motifs.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.14-19
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• 2021

This paper presents LiDAR static obstacle map based vehicle dynamic state estimation algorithm for urban autonomous driving. In an autonomous driving, state estimation of host vehicle is important for accurate prediction of ego motion and perceived object. Therefore, in a situation in which noise exists in the control input of the vehicle, state estimation using sensor such as LiDAR and vision is required. However, it is difficult to obtain a measurement for the vehicle state because the recognition sensor of autonomous vehicle perceives including a dynamic object. The proposed algorithm consists of two parts. First, a Bayesian rule-based static obstacle map is constructed using continuous LiDAR point cloud input. Second, vehicle odometry during the time interval is calculated by matching the static obstacle map using Normal Distribution Transformation (NDT) method. And the velocity and yaw rate of vehicle are estimated based on the Extended Kalman Filter (EKF) using vehicle odometry as measurement. The proposed algorithm is implemented in the Linux Robot Operating System (ROS) environment, and is verified with data obtained from actual driving on urban roads. The test results show a more robust and accurate dynamic state estimation result when there is a bias in the chassis IMU sensor.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.83-90
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• 2023

Blurred image is an important factor in lowering image recognition rates in Computer vision. This mainly occurs when the camera is unstablely out of focus or the object in the scene moves quickly during the exposure time. Blurred images greatly degrade visual quality, weakening visibility, and this phenomenon occurs frequently despite the continuous development digital camera technology. In this paper, it replace the modified building module based on the Deep multi-patch neural network designed with convolution neural networks to capture details of input images and Attention techniques to focus on objects in blurred images in many ways and strengthen the image. It measures and assigns each weight at different scales to differentiate the blurring of change and restores from rough to fine levels of the image to adjust both global and local region sequentially. Through this method, it show excellent results that recover degraded image quality, extract efficient object detection and features, and complement color constancy.

• Journal of Korea Multimedia Society
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• v.8 no.7
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• pp.943-952
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• 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
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• v.21 no.2
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• pp.110-120
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• 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.