• Journal of Digital Convergence
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• v.10 no.10
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• pp.215-220
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• 2012

This paper proposes a ontology of tree structure approach for adaptive object recognition in a situation-variant environment. In this paper, we introduce a new concept, ontology of tree structure ontology, for context sensitivity, as we found that many developed systems work in a context-invariant environment. Due to the effects of illumination on a supreme obstinate designing context-sensitive recognition system, we have focused on designing such a context-variant system using ontology of tree structure. Ontology can be defined as an explicit specification of conceptualization of a domain typically captured in an abstract model of how people think about things in the domain. People produce ontologies to understand and explain underlying principles and environmental factors. In this research, we have proposed context ontology, context modeling, context adaptation, and context categorization to design ontology of tree structure based on illumination criteria. After selecting the proper light-ontology domain, we benefit from selecting a set of actions that produces better performance on that domain. We have carried out extensive experiments on these concepts in the area of object recognition in a dynamic changing environment, and we have achieved enormous success, which will enable us to proceed on our basic concepts.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.12
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• pp.2762-2770
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• 2012

In this paper, we propose a novel approach to effectively compress the sub-images transformed from the picked-up elemental images in integral imaging, in which motion vectors of the object in each sub-image are fast and accurately estimated and compensated by combined use of MSE(mean square error)-based TSS(tree-step search) and FS(full search) schemes. This is, the possible object areas in each sub-image are searched by using the fast TSS algorithm in advance, then the these selected object areas are fully searched with the accurate FS algorithm. Furthermore, the sub-images in which all object's motion vectors are compensated, are transformed into the residual images by using the difference image method and finally compressed with the MPEG-4 algorithm. Experimental results reveal that the proposed method shows 214% improvement in the compression time per each image frame compared to that of the conventional method while keeping the same compression ratio with the conventional method. These successful results confirm the feasibility of the proposed method in the practical application.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.16
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• pp.7-34
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• 2001

This Study analyzes the fact that whether or not, the applicant, by failing to object promptly to the facial discrepancies of the presented documents and to return those documents to the issuing bank, has waived his right to sue for breach of the Application agreement based on the recent Korea-US Case law. Some commentators claim that an applicant has a duty to notify the issuing bank within a reasonable time after receiving the documents that they do not comply with the letter of credit requirements and to return those documents to the issuing bank, and also suggest that a failure to do so result in a waiver of discrepancies that operates as a matter of law. But such decisions make little sense in letter of credit transaction. Unless otherwise agreed, Applicant agreement does not require that the applicant notify the issuing bank of any facial discrepancies of the documents or return those documents. Moreover there is no support in the body of law, i.e., UCP 500 or the Revised UCC Article 5, for an automatic waiver or preclusion arising from the applicant's failure to object promptly. In addition, beyond the lack of authority to support an automatic waiver arising from the applicant's failure to object and return the documents, in a letter of credit transaction the issuing bank is the only party charged with the duty of scrutinizing documents. Therefore, if there are discrepancies, it is the bank that should have to seek an express waiver from the applicant ; the issuing bank should not avoid responsibility for failing to notice discrepancies because the applicant was slow to scrutinize the documents closely or because the applicant failed to inform the issuing bank of such discrepancies. Requiring that applicants inspect documents independently defeats the purpose of retaining the issuing bank, erodes the bank's responsibility to perform its role diligently, and may result in the bank avoiding liability despite negligent payment. If the bank wants to require an applicant to report discrepancies promptly, he may include a provision in the Application agreement limiting the time limit within which the applicant must give notice of facial discrepancies and return the documents. This approach will ensure the continued wide-spread use of documentary credit as a reliable payment mechanism.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1726-1748
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• 2024

Trajectory planning is vital for autonomous systems like robotics and UAVs, as it determines optimal, safe paths considering physical limitations, environmental factors, and agent interactions. Recent advancements in trajectory planning and future location prediction stem from rapid progress in machine learning and optimization algorithms. In this paper, we proposed a novel framework for Spatial-temporal transformer-based feed-forward neural networks (STTFFNs). From the traffic flow local area point of view, skip-gram model is trained on trajectory data to generate embeddings that capture the high-level features of different trajectories. These embeddings can then be used as input to a transformer-based trajectory planning model, which can generate trajectories for new objects based on the embeddings of similar trajectories in the training data. In the next step, distant regions, we embedded feedforward network is responsible for generating the distant trajectories by taking as input a set of features that represent the object's current state and historical data. One advantage of using feedforward networks for distant trajectory planning is their ability to capture long-term dependencies in the data. In the final step of forecasting for future locations, the encoder and decoder are crucial parts of the proposed technique. Spatial destinations are encoded utilizing location-based social networks(LBSN) based on visiting semantic locations. The model has been specially trained to forecast future locations using precise longitude and latitude values. Following rigorous testing on two real-world datasets, Porto and Manhattan, it was discovered that the model outperformed a prediction accuracy of 8.7% previous state-of-the-art methods.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.1
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• pp.81-85
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• 2008

The coupling measurements of object oriented programs can be valuable information for various maintenance tasks and there exists a variety of metrics proposed by numerous researchers. Those metrics, however, cannot measure the strength of dependencies between classes, but only imply the existence of dependencies. Hence they are of limited value for assisting maintenance tasks such as refactoring and system decomposition, which requires information about the strength of dependency. In this paper, a coupling metric which can measure the strength of dependence as well as detect the existence of dependencies is proposed. Our coupling metric is evaluated based on the cost required for performing the maintenance tasks. We have applied the proposed coupling metric to an example of system decomposition in an effort to assess the potential benefits of our approach for maintenance tasks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4807-4813
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• 2012

Since the existing methods of segmenting target objects from various images mainly use 2-dimensional features, they have several constraints due to the shortage of 3-dimensional information. In this paper, we therefore propose a new method of accurately segmenting target objects from three dimensional stereoscopic images using 2D and 3D feature clustering. The suggested method first estimates depth features from stereo images by using a stereo matching technique, which represent the distance between a camera and an object from left and right images. It then eliminates background areas and detects foreground areas, namely, target objects by effectively clustering depth and color features. To verify the performance of the proposed method, we have applied our approach to various stereoscopic images and found that it can accurately detect target objects compared to other existing 2-dimensional methods.

• Journal of Internet Computing and Services
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• v.9 no.3
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• pp.69-77
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• 2008

An algorithm for tracking the trace of structured light is proposed to obtain depth information accurately. The technique is based on the fact that the pixel location of light in an image has a unique association with the object depth. However, sometimes the projected light is dim or invisible due to the absorption and reflection on the surface of the object. A dynamic programming approach is proposed to solve such a problem. In this paper, necessary mathematics for implementing the algorithm is presented and the projected laser light is tracked utilizing a dynamic programming technique. Advantage is that the trace remains integrity while many parts of the laser beam are dim or invisible. Experimental results as well as the 3-D restoration are reported.

• Journal of Korea Multimedia Society
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• v.14 no.2
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• pp.318-328
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• 2011

This paper suggests a comprehensive method to describe architectural components for supporting Korean Traditional Building design with only small components set in CAD system. Korean traditional buildings can be classified variously based on the their size, usage and structure type(whether ornament part, namely Gongpo, is in there or not). Moreover components can be varied according to the combining rule between them. If all of these components are presented, these tremendous components rather prevent the efficient design of traditional buildings. In order to solve this problem we present object-oriented approach to describe versatile components as one template if they are same in functional aspects. From the template, many similar instances can be derived according to the attribute value. The templates are designed in order to reflect the coupling scheme between components in the relative parameters of the templates. It leads effects of minimizing error which can be occurred frequently in the process of traditional building design.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.5
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• pp.394-405
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• 2004

To make Web Services the real applications, the efficient mechanisms for Web Services discovery, Web Services composition and Web Services execution must be provided. Among these issues, especially, Web Services composition plays the key roles in Web Services applications that are loosely coupled and composed applications consisted of primitive Web Service components. In this paper we demonstrate a new Web Service composition approach using ontologies. We apply ontologies to describe Web Services information such as Web Services input/output parameters, pre conditions, post conditions and other necessary management information. In this paper, we also introduce Action ontology and Object ontology to describe the functional properties of Web Services These ontologies offer semantic description of Web Services functionalities beyond the limitation of the current WSDL. We can achieve semantic interoperabilities between heterogeneous Web Services in terms of conceptual processing and realize semantic services composition. We implement semantic Web Services composition system called Genie based on service description ontologies.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.199-210
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• 2014

The purpose of this study is to develop a tea culture therapy program development for the improvement of interpersonal relationship of juvenile probationers, which is a key factor of social adaptability of juvenile probationers. After developing a tea culture therapy program, this study examines the effect of the program empirically, by applying to juvenile probationers. For this purpose, this study employs an integrative approach of qualitative and quantitative methods. It is shown from the qualitative analysis that juvenile probationers' positive attitude, active participation, seriousness in interpersonal relationship, anger management, and sympathy are considerably progressed. The results from qualitative analysis indicate that the sub-dimensions of interpersonal relationship such as satisfaction, communications, trust for others, affinity, sensitivity, openness, and understandability are significantly improved.