• Journal of the Korean Geographical Society
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• v.48 no.4
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• pp.557-574
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• 2013

The paper examines the recent criticism from various viewpoints on landscape research in 'New cultural geography' focusing on the representation and duplicity of landscape as one of the key theoretical basis of the landscape school. The paper argues that landscape theories in new cultural geography should be considered as what is constantly changing over time and composed of various theoretical and genealogical elements rather than internally homogeneous, fixed, and closed system of knowledge. Through the recent 'phenomenological turn' of geography, landscape researchers explores a possibility of alternative approach to the existing theories and methods, which is so called NRT(Non-representational theory). The research objectives of the paper is to examine the theoretical and practical implications of such significant criticisms, which put emphasis on the idea of landscape as performance and practice rather than landscape as representation in cultural geography.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.135-140
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• 2015

The Cyber-Physical Systems (CPS) complexly perform modeling and simulation (M&S) for the various embedded systems. In this case, due to use diverse formatted models, we suggest to apply with the SEDRIS to systematically manage the different formatted data on M&S. The SEDRIS can reduce time and cost with reusing and interoperating environment data developed in the specific domain. To do this, we should input the data transformed the height map for terrain representation in a simulator into raster data of SEDRIS for which interoperate between the existed simulator and the SEDRIS. To solve the problem, we propose the transformation method to transfer the polygon data from RAW file used in terrain representation. With the proposed method, we can provide two advantages. First, it can possibly express the environment data into SEDRIS. Second, we can see the terrain like an image file through a viewer. Therefore, even non-expert easily constructs the terrain environment data.

• Journal of English Language & Literature
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• v.58 no.6
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• pp.1041-1061
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• 2012

In the late nineteenth century, British colonial activities became aggressive and annexationist in the tropics, including the Southeast Asian Archipelago, which reflected the historical circumstances of both increasing resistance from the indigenous and severe competition among European powers. Interestingly, the change in English colonial policy toward an annexationist or imperialist vision adopted the motto of a civilizing mission, which was founded on the anthropological assumption that the white English were civilized, while the non-white indigenous were savage. The assumption developed into colonial discourse through systematic gathering of anthropological knowledge about the peripheries of the Empire. The knowledge system was flawed, which stressed the differences of the peripheral populations from the English and served as an inverted discourse on the Imperial Self rather than the description of the Other. Furthermore, the natives were heterogeneous, which rendered indistinct the racial and cultural differences between the English and the natives. Still, the aboriginals called Malays, who were comprised of many ethnic subgroups, needed to be deemed savage or inferior by the English in order to justify the English civilizing work or imperial ambition. Put differently, the representation of the English as civilized necessitated the (mis)representation of the natives as savage. In this context, Clifford's works contribute to systematic misrepresentation of the Malays, on which colonial discourse is founded, though not without self-contradiction. On the other hand, Conrad's novels that are set in the Malay Archipelago resort to a strategic misrepresentation that reveals the relativity of the discourse. Exploring the dilemma of denationalization to various degrees, Conrad's Malay texts problematize the (mis)representation of the indigenous as inferior, which is the basis of English claim to superiority.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.7
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• pp.692-700
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• 2012

Vibration intensity has been used to localize vibration source of a vibrating system. Not only that, vibration intensity has also been used for structural diagnostic in identifying crack and mounted stiffeners. To clearly identify the location of vibration source and understand the changes of energy transmission path, clear flow visualization is required. Most of previous works used vectors to indicate the magnitude and direction of emerging vibration energy and transmission paths. However, due to the large surface area of a plate like-structure, clear transmission paths cannot be achieved using vector visualization. This becomes an issue when detail vector flow at all locations of the whole plate surface is required. In this study, streamlines visualization is used to clearly indicate the power flow transmission path at all plate surface. By using streamlines representation, not only clear transmission paths are obtained, but also improves the vector visualization which helps us to understand the changes of the energy flow especially for stiffened plates. In this study, vibration intensity computation is firstly compared to previous work to validate the vibration intensity computation. To clearly show the power flow transmission paths, streamlines representation is shown. This representation overcomes the unclear vector direction especially for stiffened plates. Different pattern of energy transmission path can be observed using streamlines representation for stiffened and unstiffened plate. The complex streamlines pattern can also be observed at high resonance frequencies which is unclear by using vector representation.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.74-78
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• 1992

This paper describes an intelligent system to automatic evaluation of eddy current(EC) signal for Inspection of steam generator(SG) tubes in nuclear power plant. Some features of the intelligent system design in the proposed system are : (1) separation of representation scheme ,or event capturing knowledge in EC signal and for structural inspection knowledge in SG tubes inspection; (2) each representation scheme is implemented in different methods, one is syntactic pattern grammar and the other is rule based production. This intelligent system also includes an data base system and an user interface system to support integration of the hybrid knowledge processing methods. The intelligent system based on the proposed concept is useful in simplifying the knowledge elicitation process of the rule based production system, and in increasing the performance in real time signal inspection application.

• Journal of Korea Multimedia Society
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• v.16 no.5
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• pp.558-565
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• 2013

Mammography, the process of using X-ray to examine the woman breast, is the one of the effective tools for detecting breast cancer at an early state. In screening mammogram, Computer-Aided Detection(CAD) system helps radiologist to diagnose cases by detecting malignant masses. A mass is an important lesion in the breast that can indicate a cancer. Due to various shapes and unclear boundaries of the masses, detecting breast masses is considered a challenging task. To this end, CAD system detects a lot of regions of interest including normal tissues. Thus it is important to develop the well-organized classifier. In this paper, we propose an enhanced sparse representation (SR) based classifier using Fisher discrimination dictionary learning. Experimental results show that the proposed method outperforms the existing support vector machine (SVM) classifier.

• The KIPS Transactions:PartB
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• v.11B no.5
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• pp.573-580
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• 2004

As the modern techniques have improved, people intend to store and manage the information on the web. Especially, it is the image data that is given a great deal of weight of the information because of the development of the scan and popularization of the digital camera and the cell-phone's camera. However, most image retrieval systems are still based on the text annotations while many images are creating everyday on the web. In this paper, we suggest the new approach for the semantic image retrieval using the RDF metadata based on the representation of the spatial relationships. For the semantic image retrieval, firstly we define the new vocabularies to represent the spatial relationships between the objects in the image. Secondly, we write the metadata about the image using RDF and new vocabularies. Finally. we could expect more correct result in our image retrieval system.

• The Transactions of the Korea Information Processing Society
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• v.4 no.11
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• pp.2679-2689
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• 1997

In this paper, a multimedia authoring system using temporal/spatial synchronization manager is designed and implemented to support easy and efficient generation of multimedia title. For this goal, a flowchart-oriented logic generator which represents a title author's design intent into a practical title composition logic without extra translation process, and a logic interpreter which translate and implement the generated title logic, are designed. Furthermore, a temporal/spatial synchronization manager which manages temporal/spatial synchronization information between media data for multimedia representation, is designed. Especially, a temporal specification model and MRL, a formal language for the model, are designed to synchronize the temporal relation between media objects. The MRL represents a complex temporal relation by simple and clear form, and synchronizes efficiently multimedia representation according to the author's intent. A presentation frame editor which makes coincidence between visible size of representation media and attachment point, is implemented for spatial synchronization.

• Smart Structures and Systems
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• v.29 no.1
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• pp.93-103
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• 2022

With the wider availability of sensor technology through easily affordable sensor devices, several Structural Health Monitoring (SHM) systems are deployed to monitor vital civil infrastructure. The continuous monitoring provides valuable information about the health of the structure that can help provide a decision support system for retrofits and other structural modifications. However, when the sensors are exposed to harsh environmental conditions, the data measured by the SHM systems tend to be affected by multiple anomalies caused by faulty or broken sensors. Given a deluge of high-dimensional data collected continuously over time, research into using machine learning methods to detect anomalies are a topic of great interest to the SHM community. This paper contributes to this effort by proposing a relatively new time series representation named "Shapelet Transform" in combination with a Random Forest classifier to autonomously identify anomalies in SHM data. The shapelet transform is a unique time series representation based solely on the shape of the time series data. Considering the individual characteristics unique to every anomaly, the application of this transform yields a new shape-based feature representation that can be combined with any standard machine learning algorithm to detect anomalous data with no manual intervention. For the present study, the anomaly detection framework consists of three steps: identifying unique shapes from anomalous data, using these shapes to transform the SHM data into a local-shape space and training machine learning algorithms on this transformed data to identify anomalies. The efficacy of this method is demonstrated by the identification of anomalies in acceleration data from an SHM system installed on a long-span bridge in China. The results show that multiple data anomalies in SHM data can be automatically detected with high accuracy using the proposed method.

• Proceedings of the KIEE Conference
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• 1990.11a
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• pp.450-456
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• 1990

In this paper, production system is implemented with the inferential neural network model using semantic network and directed graph. Production system can be implemented with the transform of knowledge representation in production system into semantic network and of semantic network into directed graph, because directed graphs can be expressed by neural matrices. A concept node should be defined by the state vector to calculated the concepts expressed by matrices. The expressional ability of neunal network depends on how the state vector is defined. In this study, state vector is overlapped and each overlapping part acts as a inheritant of concept.