The clean energy sources such as solar cells, fuel cells and photovoltaic are attractive in the present time as fossil energy cannot be renewed and the price is soaring in recent years. A system converting solar energy to electricity and connecting to the utility network is proposed in this paper. DC-DC converter becomes necessary in […]
Hybrid Integration of a Low-Voltage, High-Current Power Supply Buck Converter With an LTCC Substrate Inductor-Matlab-Power Electronics-2010
Miniaturization of hybrid integrated buck converters is impeded by the difference in growth laws in current rating for silicon and for inductors as current rating increases. In the 20 A range, this leads to the attractive feasibility of planarizing the output inductor as the largest component by utilizing lowtemperature cofired ceramic technology in the form […]
An Efficient AC–DC Step-Up Converter for Low-Voltage Energy Harvesting-Matlab-Power Electronics-2010
The conventional two-stage power converters with bridge rectifiers are inefficient and may not be practical for the low-voltage microgenerators. This paper presents an efficient acto-dc power converter that avoids the bridge rectification and directly converts the low ac input voltage to the required high dc output voltage at a higher efficiency. The proposed converter consists […]
Single-Phase AC–AC Converter Based on Quasi-Z-Source Topology-Matlab-Power Electronics-2010
This paper dealswith a new family of single-phase ac–ac converters called single-phase quasi-Z-source ac–ac converters.The proposed converter inherits all the advantages of the traditional single-phase Z-source ac–ac converter, which can realize buck–boost, reversing, or maintaining the phase angle. In addition,the proposed converter has the unique features that the input voltage and output voltage share the […]
An Inrush Mitigation Technique of Load Transformers for the Series Voltage Sag Compensator-Matlab-Power Electronics-2010
Survey results suggest that 92% of interruption at industrial facilities is voltage sag related. The voltage sag compensator,based on a transformer-coupled series-connected voltagesource inverter, is among the most cost-effective solution against voltage sags. When voltage sags happen, the transformers, which are often installed in front of critical loads for electrical isolation, are exposed to the […]
LIGHT: A Query-Efficient Yet Low-Maintenance Indexing Scheme over DHTs
DHT is a widely used building block for scalable P2P systems. However, as uniform hashing employed in DHTs destroys data locality, it is not a trivial task to support complex queries (e.g., range queries and k-nearest-neighbor queries) in DHT-based P2P systems. In order to support efficient processing of such complex queries, a popular solution is […]
A Personalized Ontology Model for Web Information Gathering
As a model for knowledge description and formalization, ontologies are widely used to represent user profiles in personalized web information gathering. However, when representing user profiles, many models have utilized only knowledge from either a global knowledge base or a user local information. In this paper, a personalized ontology model is proposed for knowledge representation […]
One Size Does Not Fit All: Towards User- and Query-Dependent Ranking For Web Databases
With the emergence of the deep Web databases, searching in domains such as vehicles, real estate, etc. has become a routine task. One of the problems in this context is ranking the results of a user query. Earlier approaches for addressing this problem have used frequencies of database values, query logs, and user profiles. A […]
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms proposed in recommender systems literature have focused on improving recommendation accuracy (as exemplified by the recent Netflix Prize competition), other important aspects of recommendation quality, such as the diversity of recommendations, have often been […]
A Unified Probabilistic Framework for Name Disambiguation in Digital Library
Despite years of research, the name ambiguity problem remains largely unresolved. Outstanding issues include how to capture all information for name disambiguation in a unified approach, and how to determine the number of people K in the disambiguation process. In this paper, we formalize the problem in a unified probabilistic framework, which incorporates both attributes […]