• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1188-1190
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• 2003

Taipei Watershed Management Bureau (WRATB) is a government agency entitled for water resources protection at two major watersheds in order to provide drinking water for about four millions population in Taipei on a sustainable basis. At WRATB, there are two major public sewage treatment facilities which can convert sewage in each watershed into an acceptable state before they were discharged into rivers. More than 82% of household wastewater have been collected and treated by the two public sewage systems. However, households at remote area still need more effective sewage management prescriptions. The objective of this paper is to implement geographic information systems in order to provide more effective approaches that sewage management can be easier and cost effective. ArcIMS was implemented for Internet browsing and map server of those sewage facilities on personal computers, laptop computers. In the open field, ArcPAD was implemented with personal digital assistant (PDA) such that compact flash type's global positioning systems (GPS) and digital camera can be utilized with PDA. All sewage facilities digital files were convert into ArcMap format files. MapObjects and visual BASIC were used to create sewage application modules to meet every single technician personal flavor. ASP.NET was implemented for Internet database manipulations of all sewage databases. Mobile GIS was the key component of GIS applications in the open field for sewage management on a basis of house by house. Houses at remote area, which can not cover by the two public sewage systems, were managed by PDA and laptop computers with GPS and digital camera. Sewage management at Taipei Watershed Management Bureau is easier both in the open field and in the office. Integration of GPS, GIS, and PDA makes sewage management in the open field much easier. ArcIMS, MapObjects, ASP.NET and visual BASIC make sewage management can be done in the office and over Internet.

• Journal of the Korean Geographical Society
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• v.43 no.3
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• pp.375-391
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• 2008

In this paper I try to analyze the trends of f environments, which changes dramatically, on the center of Web2.0 and Geospatial web, and then investigate how these new technologies can be applied in the field of geography. Nowadays international IT companies have provided the internee map which includes whole world. Also, mashup technology based on internet map has also been applied in the various areas. In the study of geography one can utilize the internet map as a basic data for regional study. In addition, I recognize that the collaborative intellectual of the ordinary people as well as expert can be utilized actively in the regional study. But in Korea, the mashup technology based on the internet map is not fully utilized. It is necessary to study the technologies related to the Geospatial web. For example, the study of the Geocoding technology which can locate the user information on the internet map, the technology that can combine the information of Geospatial attributes among the various information widely dispersed over the internet with the internet map, and the technology that can efficiently visualizing data by using wet-based vector graphic etc, is needed.

• New & Renewable Energy
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• v.2 no.4 s.8
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• pp.27-32
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• 2006

New and renewable energy information becomes one of the greatest issues because of serious environment problems and limited fossil resources. However, There are few system to manage and utilize new and renewable energy information efficiently. Therefore this study establish the GIS based Resource Map System to save and analyze new and renewable energy information about solar energy, wind power, small hydro, biomass, and geothermal. This Resource Map System is composed of the management system, practical system, field system, and Web-service system. This System can provide various spatial analysis tools such as data searching, creating thematic maps, evaluating location requirements for energy facilities.

• Journal of Biosystems Engineering
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• v.35 no.2
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• pp.132-137
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• 2010

Site-specific N application for corn is one of the precision crop management. To implement the site-specific N application, various nitrogen stress sensing methods, including aerial image, tissue analysis, soil sampling analysis, and SPAD meter readings, have been used. Use of side-dressing, an efficient nitrogen application method than a uniform application in either late fall or early spring, relies mainly on the capability of nitrogen deficiency detection. This paper presents map-based variable rate nitrogen application based using a multi-spectral corn nitrogen deficiency(CND) sensor. This sensor assess the nitrogen stress by means of the estimated SPAD reading calculated from the corn leave reflectance. The estimated SPAD value from the CND sensor system and location information form DGPS of each field block was combined into the field map using a ArcView program. Then this map was converted into a raster file for a map-based variable rate application software. The relative SPAD (RSPAD = SPAD over reference SPAD) was investigated 2 weeks after the treatments. The results showed that the map-based variable rate application system was feasible.

• Information Systems Review
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• v.10 no.2
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• pp.1-19
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• 2008

The purpose of this research is to schematize and suggest the new trends of study and changing aspects of science and technology hidden in a bibliographical phenomenon of documentation to researchers and policy-makers all through the Knowledge Map. The field of study to be analyzed in this research is the Access Network field. The reason why this field has been selected as the main target of study is that the Access Network field is economically important and characterized by its wide sphere where a variety of fields are interconnected. In addition, it is important to measure the applied as well as fundamental aspects of technology by using bibliographical method and technique. Knowledge Map successfully visualizes the inter-relations of the keywords and sub-fields of Access Network. The importance of visualizing methods in the convincing presentation of results has not been sufficiently understood in the past. Knowledge Map opens a new opportunity for cartography of science and information visualization. The Knowledge Map results have produced a great deal more than statistical artifact. We aimed to exploit the visualization effect of the Knowledge Maps to the aid of searchers in Access Network domain, and the results are quite encourging.

• Journal of Biosystems Engineering
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• v.36 no.3
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• pp.180-186
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• 2011

The objective of this research was to establish the estimation method of growth information on potato using Multi-Spectral Image Sensor (MSIS) and Global Positioning System (GPS). And growth estimation map for determining a prescription map over the entire field was generated. To determine the growth model, 10 ground-truth points of areas of $4m^2$ each were selected and investigated. The growth information included stem number, crop height and SPAD value. In addition, images information involving the ground-truth points were also taken by an unmanned helicopter, and reflectance value of Green, Red, and NIR bands were calculated with image processing. Then, growth status of potato was modeled by multi-regression analysis using these reflectance value of Green, Red, and NIR. As a result, potato growth information could be detected by analyzing Green, Red, and NIR images. Stem number, crop height and SPAD value could be estimated with $R^2$ values of 0.600, 0.657 and 0.747 respectively. The generated GIS map would describe variability of the potato growth in a whole field.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.1
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• pp.40-48
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• 2007

This paper presents a novel texture segmentation method using multilayer perceptron (MLP) networks and Markov random fields in multiscale Bayesian framework. Multiscale wavelet coefficients are used as input for the neural networks. The output of the neural network is modeled as a posterior probability. Texture classification at each scale is performed by the posterior probabilities from MLP networks and MAP (maximum a posterior) classification. Then, in order to obtain the more improved segmentation result at the finest scale, our proposed method fuses the multiscale MAP classifications sequentially from coarse to fine scales. This process is done by computing the MAP classification given the classification at one scale and a priori knowledge regarding contextual information which is extracted from the adjacent coarser scale classification. In this fusion process, the MRF (Markov random field) prior distribution and Gibbs sampler are used, where the MRF model serves as the smoothness constraint and the Gibbs sampler acts as the MAP classifier. The proposed segmentation method shows better performance than texture segmentation using the HMT (Hidden Markov trees) model and HMTseg.

• 한국신재생에너지학회:학술대회논문집
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• 2006.11a
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• pp.149-152
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• 2006

New and renewable energy information becomes one of the greatest issues because of serious environment problems and limited fossil resources However, There are few system to manage and utilize new and renewable energy information efficient. Therefore this study establish the GIS based Resource Map System to save and analyze new and renewable energy Informal ion about solar energy, wind power, small hydro, biomass, and geothermal. This Resource Map System is composed of the management system, practical system, field system and Web-service system. This System can Provide var ious spatial analysis tools such as data searching, treating thematic maps, evaluating location requirements for energy facilities.

• Journal of information and communication convergence engineering
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• v.7 no.3
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• pp.281-285
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• 2009

Mobile robot has various sensors for describing the external world. The ultrasonic sensor widely applied to the most mobile robot to detect the obstacle and environment owing to low cost, its easy to use. However, ultrasonic sensor has major problems: the uncertainty information of sensor, false readings caused by specular reflection, multi path effect, low angular resolution and sensitivity to changes in temperature and humidity. This paper describes a sensor system for map building of mobile robot. It was made of low cost PSD (Position Sensitive Detector) sensor array and high speed RISC MPU. PSD sensor is cost effective and light weighting but its output signal has many noises. We propose heuristic S/W filter to effectively remove these noises. The developed map building sensor system was equipped on a mobile robot and was compared with ultrasonic sensor through field test.

• Journal of Korean Society for Geospatial Information Science
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• v.6 no.2 s.12
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• pp.91-103
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• 1998

The digital map data of national basemap which will be basic data of the information age is accomplished to produce and are ready to distribute to public. Generally, the quality of digital map is affected to data history, position accuracy, attribute accuracy, logical consistency and completeness. The quality of digital map Is assured to use basic data for the field of various appication. The purpose of this study is to develop automated qualify control program of digital map through analysis type of errors in digital mapping, to determine method of high quality digital mapping. As a results of this study, The automated quality control program of digital map is developed to assure logical consistency and completeness of digital map which is used to principal data in the field of GIS and is determined the process of high quality digital mapping. Also, the results of this study is contributed to quality assrence and accuracy improvement of national basemap digital mapping database.