• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.991-1005
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• 2022

Satellite imaging is an effective supplementary data source for detecting and verifying nuclear activity. It is also highly beneficial in regions with limited access and information, such as nuclear installations. Time series analysis, in particular, can identify the process of preparing for the conduction of a nuclear experiment, such as relocating equipment or changing facilities. Differences in the semantic segmentation findings of time series photos were employed in this work to detect changes in meaningful items connected to nuclear activity. Building, road, and small object datasets made of KOMPSAT 3/3A photos given by AIHub were used to train deep learning models such as U-Net, PSPNet, and Attention U-Net. To pick relevant models for targets, many model parameters were adjusted. The final change detection was carried out by including object information into the first change detection, which was obtained as the difference in semantic segmentation findings. The experiment findings demonstrated that the suggested approach could effectively identify altered pixels. Although the suggested approach is dependent on the accuracy of semantic segmentation findings, it is envisaged that as the dataset for the region of interest grows in the future, so will the relevant scope of the proposed method.

• Journal of the Korea Society of Computer and Information
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• v.16 no.7
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• pp.67-76
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• 2011

Recently, researches for semantic annotation methods which represent and search objects included in video data, have been briskly activated since video starts to be popularized as types for interactive contents. Different location data occurs at each frame because coordinates of moving objects are changed with the course of time. Saving the location data for objects of every frame is too ineffective. Thus, it is needed to compress and represent effectively. This paper suggests two methods; the first, ontology modeling for moving objects to make users intuitively understandable for the information, the second, to reduce the amount of data for annotating moving objects by using cubic spline interpolation. To verify efficiency of the suggested method, we implemented the interactive video system and then compared with each video dataset based on sampling intervals. The result follows : when we got samples of coordinate less than every 15 frame, it showed that could save up to 80% amount of data storage; moreover, maximum of error deviation was under 31 pixels and the average was less than 4 pixels.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.3
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• pp.43-51
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• 2008

In this paper, we present WebGIS techniques that can acquire more information from users who offered information and location of region's crops. So that it can be search the information based on Ontology defining Metadata for understand and control more accurately. And this paper shows how to implement about prototype of crops information system for obtaining information of location. Our object is to offer results Service form search, to analyze question of user and to show the exact geographic information about question of user. So this paper can be provide convenience to users that can be show Semantic WebGIS system.

• Journal of Korean Society of Rural Planning
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• v.18 no.3
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• pp.67-76
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• 2012

The purpose of this study is to analyze the landscape preference and landscape images of the Agricultural Aqueduct Bridges(AAB) by several different criteria. Semantic Differential Scale(SD scale) with landscape adjectives and landscape preference are used to estimate the alternatives of the AAB. The statistic methods such as descriptive analysis, t-test, factor analysis and regression, cluster analysis, are operated. The landscape preference of the alternatives is generally positive, 3.977 out of 7.000. The gate type is the most preferred, but the road-along type is the worst, by the location types. The simple repair type is the worst preferred, but total remodeling is the most, by the repair types. The characteristics of the AAB are analyzed and 4 factors of visual landscape are contracted; interest, orderliness, naturality and spatiality. Cumulative factor loading of these factors is about 65%, which is quite high. The higher and bigger AAB's are preferred, and the advanced finishing materials are also preferred, such as aluminum or wood panels. The long span is also preferred and the high repair cost would be preferred. But in this study, the cost-benefit analysis is not included, so it is recommended to research further, considering the cost variable with the visual factors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.12-14
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• 2021

A sensor registry system (SRS) provides semantic metadata about a sensor based on location information of a mobile device in order to solve a problem of interoperability between a sensor and a device. However, if the GPS of the mobile device is incorrectly received, the SRS receives incorrect sensor information and has a problem in that it cannot connect with the sensor. This paper proposes a dual collaboration strategy based on geographical embedding and LSTM-based path prediction to improve the probability of successful requests between mobile devices and sensors to address this problem and evaluate with the Monte Carlo approach. Through experiments, it was shown that the proposed method can compensate for location abnormalities and is an effective multicasting mechanism.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2006.06a
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• pp.89-92
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• 2006

위치기반서비스는 이동중인 사용자에게 위치와 관련된 정보의 제공을 중심으로 부가가치를 창출할 수 있는 정보를 제공하는 서비스로, 다양하고 방대한 분량의 데이터를 관리하기 때문에 분산환경에서 운용되는 것이 효율적이다. 본 논문에서는 위치기반서비스에서 이렇게 분산 저장된 리소스들에 대한 접근제어 정책을 공유하기 위해 시맨틱 웹 기술을 활용할 수 있는 방법을 제안하한다. 이를 위하여 LBSPolicy 온톨로지를 정의하고 이를 기반으로 보안정책을 명세화할 수 있도록 하고, 이를 활용할 수 있는 서비스 구조를 제시한다.

• Korean Journal of English Language and Linguistics
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• v.3 no.3
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• pp.341-373
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• 2003

A cross-linguistic examination of motion constructions reveals that the nature of the special property of English motion verbs that Tenny (1995) discussed-namely, why English can freely append locational delimiters to manner-of-motion verbs, as in Bill swam/rowed/canoed to the end of the lake -resides not in the verbs but in the semantic structure of the prepositions that denote transition from motion to end location. It is further argued that the differentiation of bounded paths from non-bounded Ones provides a clear-cut basis on which to distinguish motion constructions from resultative constructions. This proposal provides an alternative to the analyses of resultative constructions by Wechsler (1997) and Rappaport Hovav and Levin (2001).

• International Journal of Contents
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• v.2 no.1
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• pp.17-21
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• 2006

In this paper, we describe a concept-based question-answering system in which concept rather than keyword itself makes an important role on both question analysis and answer extraction. Our idea is that concepts occurred in same type of questions are similar, and if a question is analyzed according to those concepts then we can extract more accurate answer because we know the semantic role of each word or phrase in question. Concept frame is defined for each type of question, and it is composed of important concepts in that question type. Currently the number of question type is 79 including 34 types for person, 14 types for location, and so on. We experiment this concept-based approach about questions which require person s name as their answer. Experimental results show that our system has high accuracy in answer extraction. Also, this concept-based approach can be used in combination with conventional approaches.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.508-511
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• 2007

Car navigation system is one of the most important applications in telematics. A newest trend of car navigation system is using real video captured by camera equipped on the vehicle, because video can overcome the semantic gap between map and real world. In this paper, we suggest a visual car navigation system that visually represents navigation information or route guidance. It can improve drivers' understanding about real world by capturing real-time video and displaying navigation information overlaid on it. Main services of the visual car navigation system are graphical turn guidance and lane change guidance. We suggest the system architecture that implements the services by integrating conventional route finding and guidance, computer vision functions, and augmented reality display functions. What we designed as a core part of the system is visual navigation controller, which controls other modules and dynamically determines visual representation methods of navigation information according to a determination rule based on current location and driving circumstances. We briefly show the implementation of system.

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.141-150
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• 2013

In this paper, the learnability of haptic icons was tested as a way of conveying turn-by-turn directions to users involved in navigation interactions with commercial smartphones. To do this, six most distinctive haptic icons were identified from those having different duration of each pulse, interval between pulses, and rhythm. Associations between the selected haptic icons and 3 pairs of navigation directions were analyzed using data gathered from 30 subjects by 7 point Likert scale. The haptic icons were then assigned to proper directions based on the results from that stereotype analysis. The results showed that the commercial smartphone with one linear motor at a fixed location is not capable of making hapticons to have clear directional stereotypes. The hapticons with poor stereotypes has no advantage in learnability compared to those of random assignment.