Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Seok-Hee Bae Dong-Ho Cha |
| Copyright Year | 2014 |
| Description | Author affiliation: Nat. Radio Res. Agency, South Korea (Seok-Hee Bae; Dong-Ho Cha) |
| Abstract | Summary form only given. TVWS service is expected to be introduced in the near future. It should have to be capable of providing the broadcasting and TVWS services. However, it is difficult to share between broadcasting service and TVWS service in dense urban areas of the propagation environment. To date, there is no propagation prediction model for analysis of the two services. Recommendation ITU-R P.1546, propagation prediction method, is one of the candidates to analyze the both services. Recommendation ITU-R P.1546 is a point-to-area propagation prediction model, which is 30 ~ 3000 MHz of the frequency band corresponding to the intervals 1 ~ 1000 km distance. But it lacks accuracy for urban propagation model less than 1 km. To improve the accuracy of the recommendation ITU-R P.1546, there was carried out research to domestic dense urban area for improvement of propagation prediction model. There was applied to the existing prediction model to examine the propagation environment and the domestic classification can be applied to dense urban areas for a new topology classification. The last 10 years, urbanization, dense, forest development is accelerating the building of the propagation environment in urban areas. The situation is worsening day by day in the geographic information system (GIS). In order to accurately propagation analysis of failure affecting the precision of propagation prediction analysis, there need to classify obstacles (or clutter) to analyze the characteristics (distribution, shape, density, etc.) in a real urban environment terrain/ obstacles like building. So, there were prepared for acts as a high-resolution GIS data analysis for building information through detailed classification criteria. To verify this estimate, the domestic classification that can be applied to dense urban areas to improve propagation prediction model selected sample areas where the propagation characteristics of two measurements were performed. And actual results and expected results of a comparative analysis of existing models through the existing propagation limitations of the predictive model were confirmed. The analysis results were derived that improved prediction reliability for lowrise/high-dense urban areas by implementing the detailed classification of clutter height and density. Consequently, analysis of the existing propagation prediction model is developed for the purpose of propagation distance is applicable in urban areas concentrated in the complexity and too unreliable predictions derived. In the conclusion, this result required to obtain and update shortly high spatial resolution information (GIS data) in order to more precise and accurate propagation analysis. |
| Starting Page | 235 |
| Ending Page | 235 |
| File Size | 82196 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781479937462 |
| DOI | 10.1109/USNC-URSI.2014.6955618 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytical models Accuracy Urban areas Buildings Predictive models Broadcasting Geographic information systems |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|