• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.4
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• pp.1-11
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• 2010

This study proposed the method for the SWMM data generation connected with the spatial database and designed the data model in order to display flooding information such as the runoff sewer system, flooding areas and depth. A variety of data, including UIS, documents related to the disasters, and rainfall data are used to generate the attributes for flooding analysis areas. The spatial data is constructed by the ArcSDE and Oracle DB. The prototype system is also developed to display the runoff areas based on the GIS using the ArcGIS ArcObjects and spatial DB. The results will be applied to the flooding analysis based on the SWMM.

• Phonetics and Speech Sciences
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• v.2 no.3
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• pp.141-148
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• 2010

In this paper, voice activity detection (VAD) for dual-channel noisy speech recognition is proposed in which spatial cues are employed. In the proposed method, a probability model for speech presence/absence is constructed using spatial cues obtained from dual-channel input signal, and a speech activity interval is detected through this probability model. In particular, spatial cues are composed of interaural time differences and interaural level differences of dual-channel speech signals, and the probability model for speech presence/absence is based on a Gaussian kernel density. In order to evaluate the performance of the proposed VAD method, speech recognition is performed for speech segments that only include speech intervals detected by the proposed VAD method. The performance of the proposed method is compared with those of several methods such as an SNR-based method, a direction of arrival (DOA) based method, and a phase vector based method. It is shown from the speech recognition experiments that the proposed method outperforms conventional methods by providing relative word error rates reductions of 11.68%, 41.92%, and 10.15% compared with SNR-based, DOA-based, and phase vector based method, respectively.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.2
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• pp.109-116
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• 2005

3D Spatial Data, namely 3D Urban CG model express the building, road, river in virtual world and accumulate, manage the data in the GIS system. It is important infrastructure which expected in many usages. Recently 3D CG urban model needs much manual effort, time and costs to build them. In this paper, we introduce the integration of GIS, CG and automatic production of the $\lceil$3D Spatial Data Infrastructure$\rfloor$. This system make filtering, divide the polygon, generate the outlines of the GIS building map, design the graphic and property information and finally make automatic 3D CG models.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.4 no.2
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• pp.79-85
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• 2023

The Tibetan Plateau is home to the only alpine crane species, the black-necked crane (Grus nigricollis). Conservation efforts are severely hampered by a lack of knowledge on the spatial distribution and breeding habitats of this species. The ecological niche modeling framework used to predict the spatial distribution of this species, based on the maximum entropy and occurrence record data, allowed us to generate a species-specific spatial distribution map in Ladakh, Trans-Himalaya, India. The model was created by assimilating species occurrence data from 486 geographical sites with 24 topographic and bioclimatic variables. Fourteen variables helped forecast the distribution of black-necked cranes by 96.2%. The area under the curve score for the model training data was high (0.98), indicating the accuracy and predictive performance of the model. Of the total study area, the areas with high and moderate habitat suitability for black-necked cranes were anticipated to be 8,156 km² and 6,759 km², respectively. The area with high habitat suitability within the protected areas was 5,335 km². The spatial distribution predicted using our model showed that the majority of speculated conservation areas bordered the existing protected areas of the Changthang Wildlife Sanctuary. Hence, we believe, that by increasing the current study area, we can account for these gaps in conservation areas, more effectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.142-142
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• 2022

Adjusting weather radar data is a prerequisite for its use in various hydrological studies. Effect of spatial variables are considered to adjust weather radar data in many of these researches. The existence of diverse topography in South Korea has increased the importance of analyzing these variables. In this study, some spatial variable like slope, elevation, aspect, distance from the sea, plan and profile curvature was considered. To investigate different topographic conditions, tried to use three radar station of Gwanaksan, Gwangdeoksan and Gudeoksan which are located in northwest, north and southeast of South Korea, respectively. To form the suitable fuzzy model and create the best membership functions of variables, ANFIS-PSO model was applied. After optimizing the model, the correlation coefficient and sensitivity of adjusted Quantitative Precipitation Estimation (QPE) based on spatial variables was calculated to find how variables work in adjusted QPE process. The results showed that the variable of elevation causes the most change in rainfall and consequently in the adjustment of radar data in model. Accordingly, the sensitivity ratio calculated for variables shows that with increasing rainfall duration, the effects of these variables on rainfall adjustment increase. The approach of this study, due to the simplicity and accuracy of this method, can be used to adjust the weather radar data and other required models.

• Journal of the Korea Safety Management & Science
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• v.10 no.3
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• pp.145-154
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• 2008

The Location Based Services (LBS) comprise spatial information and mobile technology allow users to receive various services based on Global Positioning Systems (GPS). Although, spatial information based services are very useful, it has lots of possibility to damage privacy protection. But the contents of the legislation by government have problems conflicted between protection of a person's location information and invigoration LBS. Therefore, in this study suggest a causal model to deal with user satisfaction and factors affecting spatial information based services to customer perspective. The proposed research model is tested empirically with one hundred and forty one usable questionnaires and partial least square (PLS) method. Experimental results showed that the usefulness, playfulness, and service quality play a prominent role in influencing the spatial information services satisfaction compared to other factors. But, easy of use and perceived risk are not significant.

• Proceedings of the Safety Management and Science Conference
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• 2007.04a
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• pp.373-385
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• 2007

The Location Based Services (LBS) comprise spatial information and mobile technology allow users to receive various services based on Global Positioning Systems (GPS). Although, spatial information based services are very useful, it has lots of possibility to damage privacy protection. But the contents of the legislation by government have problems conflicted between protection of a person's location information and invigoration LBS. Therefore, in this study suggest a causal model to deal with user satisfaction and factors affecting spatial information based services to customer perspective. The proposed research model is tested empirically with one hundred and forty one usable questionnaires and partial least square (PLS) method. Experimental results showed that the usefulness, playfulness, and service quality play a prominent role in influencing the spatial information services satisfaction compared to other factors. But, easy of use and perceived risk are not significant.

• Journal of information and communication convergence engineering
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• v.13 no.2
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• pp.105-112
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• 2015

The estimation of missing sensor values is an important problem in sensor network applications, but the existing approaches have some limitations, such as the limitations of application scope and estimation accuracy. Therefore, in this paper, we propose a new estimation model based on a spatial-temporal correlation analysis (STCAM). STCAM can make full use of spatial and temporal correlations and can recognize whether the sensor parameters have a spatial correlation or a temporal correlation, and whether the missing sensor data are continuous. According to the recognition results, STCAM can choose one of the most suitable algorithms from among linear interpolation algorithm of temporal correlation analysis (TCA-LI), multiple regression algorithm of temporal correlation analysis (TCA-MR), spatial correlation analysis (SCA), spatial-temporal correlation analysis (STCA) to estimate the missing sensor data. STCAM was evaluated over Intel lab dataset and a traffic dataset, and the simulation experiment results show that STCAM has good estimation accuracy.

• International Area Studies Review
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• v.20 no.1
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• pp.53-78
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• 2016

This study is to analyze the effects of both the bilateral FTA and a home and its trade partner's FTAs on the trade with 62 country-pair panel data over the period of 2003-2013 using the gravity model and the spatial autoregressive model. First, the study analyzes how the bilateral FTAs affect the trade using the gravity model and the spatial model. Next, the article analyzes how the home and its trade partners' FTAs affect their trade using only the spatial model under controlling the bilateral FTA. The empirical results are summarized as the followings: first, the spatial mode fits well more than the gravity model in analyzing the relationship between the bilateral FTA and trade. It implies that the spatial spillover effect of FTA is important in the international trade with FTA. Second, the bilateral FTA plays a role in expanding the trade between or among the FTA members as proved by the previous studies. Third, the more the home and its trade partners' FTAs, the more the bilateral trade are extended. Fourth, with the bilateral FTAs, as the home and its trade partners enter into more FTAs, the bilateral trade reduces due to trade diversion effects. In conclusion, this study provides a political implication that in order to increase the trade volume, a country enters into as many FTAs as possible because the effects of the bilateral FTAs would decrease.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.499-501
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• 2003

As semiconductor memory becomes cheaper, the memory capacity of computer system is increasing. Therefore computer system has sufficient memory for a plentiful spatial data. With emerging spatial application required high performance, this paper presents a GIS database system in main memory. Memory residence can provide both functionality and performance for a database management system. This paper describes design of DBMS for storing, querying, managing and analyzing for spatial and non-spatial data in main-memory. This memory resident GIS DBMS supports SQL for spatial query, spatial data model, spatial index and interface for GIS tool or applications.