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RISS 인기검색어
- 검색키워드
- 저자 : Singh, Priyam Bada (검색결과 387 건)
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Querying Patterns in High-Dimensional Heterogenous Datasets
Singh, Vishwakarma University of California, Santa Barbara 2012 해외박사(DDOD)
The recent technological advancements have led to the availability of a plethora of heterogenous datasets, e.g., images tagged with geo-location and descriptive keywords. An object in these datasets is described by a set of high-dimensional feature vectors. For example, a keyword-tagged image is represented by a color-histogram and a word-histogram. Analyzing these datasets gives better insights into the processes generating the datasets, opens new frontiers of scientific research, and fuels development of life-changing products. An effective mechanism for exploring these heterogenous datasets is querying. One such kind of query is a pattern query. Given a heterogenous dataset and a query, the task here is to find a set of objects which are constrained by a relationship and satisfy the query. For example, given a dataset of keyword-tagged objects, a useful pattern query is to find a set of similar objects that contains a given set of keywords. Querying patterns in high-dimensional heterogenous datasets brings about a new set of computational challenges. High performance algorithms to efficiently and accurately query patterns are presented in this thesis. First, a scalable algorithm, SIMP, is described for accurately querying near neighbors in a high-dimensional dataset. SIMP significantly outperforms the state-of-the-art techniques. Next, a novel algorithm, ProMiSH, is proposed for efficiently querying patterns by keywords. ProMiSH has a speed-up of more than four orders over the state-of-the-art techniques. Then, an algorithm, QUIP, is described for querying patterns by example in a spatial dataset, e.g., geographical maps. QUIP offers an improvement of 87% in running time over the baseline approach. Next, an algorithm for querying patterns by example in a temporal dataset is described. It specifically solves the problem of finding duplicate videos. The proposed algorithm yields a practical query time for video duplicate detection. Finally, a scalable method to compute statistical significance of results of a multi-object query is discussed. Statistical significance or p-value provides a more useful criterion for ranking the results of a query.
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Flow orientation analysis for major activity regions based on smart card transit data
Singh, Parul Kyung Hee University 2018 국내석사
Analyzing public movement in transportation networks in a city is significant in understanding the life of citizen and making improved city plans for the future. This study focuses on investigating the flow orientation of major activity regions based on smart card transit data. The flow orientation based on the real movements such as transit data can provide the easiest way of understanding public movement in the complicated transportation networks. First, high inflow regions (HIRs) are identified from transit data for morning and evening peak hours. The morning and evening HIRs are used to represent major activity regions for major daytime activities and residential areas, respectively. Second, the directional orientation of flow is then derived through the directional inflow vectors of the HIRs to show the bias in directional orientation and compare flow orientation among major activity regions. Finally, clustering analysis for HIRs is applied to capture the main patterns of flow orientations in the city and visualize the patterns on the map. The proposed methodology was illustrated with smart card transit data of bus and subway transportation networks in Seoul, Korea. Some remarkable patterns in the distribution of movements and orientations were found inside the city. The proposed methodology is useful since it unfolds the complexity and makes it easy to understand the main movement patterns in terms of flow orientation.
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India's solid waste management system : current status and future perspective
Singh, Boonga Gurcharan Graduate School of International Studies, Korea Un 2010 국내석사
India, since liberalization has gone through rapid development which led to increase in migration from rural to urban areas, overwhelming the capacity of the municipalities to provide the basic solid waste services to ever increasing urban population. Regardless of the comprehensive waste management rules, India is still facing problem in providing, and increasing the quality of municipal solid waste management services for its citizens. The problem of inefficient waste management services has direct implications on India?s sustainable development as poor waste management services tend to pollute the environment directly by polluting Air, Land and Water. India, one of the fastest growing economies is going to witness further migration from rural to urban centres. Thus, raising concern regarding the municipal solid waste management services and on sustainable development of India. Although, Government of India has already reduced the institutional and legal obstacles to overcome the imperative need of infrastructure development by allowing PPP in various core infrastructure sectors, still the gap between demand and supply persists. This study has provided the current state of India?s municipal solid waste management system along with study of Korea?s municipal solid waste management for comparative analysis. The study has established the difference between both the cases and found various commonalities. At last recommendations are provided to improve the municipal solid waste management services. If the policies suggested are applied, these can assist in improving the municipal solid waste services in India through waste minimization, efficient processing and transformation and by scientific v disposal of municipal waste, facilitating Government of India to reduce the threats faced by poor solid waste management system and walk towards sustainable.
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