Featured Researchers

Dr. Rahul Rai

Dr. Rahul Rai
Assistant Professor
Mechanical Engineering

Dr. Peter Kinman


Dr. Peter Kinman

Electrical and Computer Engineering

Dr. Young Kim

Dr. Young Kim
Electrical and Computer Engineering

 

2011 Featured Grants

Knowledge Representation and Design for Managing Product Obsolescence
Principal Investigator: Rahul Rai, Department of Mechanical Engineering; Funding Agency: National Science Foundation

Radio-Frequency Interference Analysis
Principal Investigator: Peter Kinman, Department of Electrical and Computer Engineering; Funding Agency: NASA/JPL

Advanced Transponder and Advanced Receiver
Principal Investigator: Peter Kinman, Department of Electrical and Computer Engineering; pkinman@csufresno.edu Funding Agency: NASA/JPL

A Real-time System for Detection and Classification of a Moving Target
Principal Investigator: Young Kim, Department of Electrical and Computer Engineering; youngkim@csufresno.edu Funding Agency: Samsung Thales


Collaborative Research: Knowledge Representation and Design for Managing Product Obsolescence

Principal Investigator: Rahul Rai, Assistant Professor, Department of Mechanical Engineering rarai@csufresno.edu
Funding Agency: National Science Foundation

The research objective of this award is to investigate two novel research approaches to understanding and managing technology obsolescence challenges: (1) a knowledge representation scheme and management system that can facilitate information sharing and collaboration for obsolescence management and mitigation efforts between existing tools and across different organizations; and (2) fundamental principles, teachable methods, and guidelines for designing product architectures that can evolve with changing requirements, enabling proactive obsolescence management across the entire product life cycle. Fast moving technologies have caused commercial high-tech components to have shortened procurement life cycles, rendering them obsolete quickly. The impact and pervasiveness of obsolescence problems are growing. Existing work focuses on reactively managing obsolescence, i.e., minimizing the cost of resolving the problem after it has occurred, however, reactive management is very expensive and inefficient. Proactive and strategic obsolescence management have many potential advantages, but are poorly understood in theory, and poorly addressed in practice. Deliverables include a standard obsolescence ontology within a software system that domain experts can use to share and annotate information in their fields, demonstration and validation of fundamental principles on a wide range of product design problems, documentation of research results, engineering student education, and engineering research experiences for underprivileged undergraduate students. This research will provide a platform for the exploration and understanding of interactions among the elements of product design and sensitivities to obsolescence. Designers will have the tools they need to manage the issue of obsolescence and design products to enable proactive obsolescence management. The results of this research will be disseminated to provide an opportunity to create cost-effective, and environmental friendly products at faster pace. Graduate and undergraduate engineering students will benefit through classroom instruction and involvement in the research. The education and outreach activities of this effort will help promote interest for engineering from underrepresented groups.

Radio-Frequency Interference Analysis

Principal Investigator: Peter Kinman, Department of Electrical and Computer Engineering; pkinman@csufresno.edu Funding Agency: NASA/JPL

Dr. Kinman shall perform technical studies and analyses to investigate potential radio frequency interference (RFI) to the deep-space network (DSN) caused by terrestrial systems and satellite systems operating in or near the DSN frequency bands.  He will provide technical data for use by the Spectrum Engineering Team and the JPL Frequency Manager to develop NASA/JPL’s position and strategy related to spectrum management issues and protection of the DSN.  He will assess adverse effects of RFI on the Downlink Telemetry and Tracking Subsystem. He will provide support for International Telecommunication Union (ITU) studies, including the High Density Fixed Service (HDFS) study.

Advanced Transponder and Advanced Receiver

Principal Investigator: Peter Kinman, Department of Electrical and Computer Engineering; pkinman@csufresno.edu Funding Agency: NASA/JPL

Dr. Kinman shall analyze and validate specifications for a new class of transponders and receivers.  This shall include specifications of command, telemetry and radiometric performance parameters for the transponder and specifications of telemetry, Doppler and ranging performance parameters for the receiver.

A Real-time System for Detection and Classification of a Moving Target

Principal Investigator: Young Kim, Department of Electrical and Computer Engineering; youngkim@csufresno.edu Funding Agency: Samsung Thales

The objective of this project is the development of a real-time system that detects and classifies a moving target through data measured by multiple sensors including seismic sensor, Doppler sensor and UWB radar. Targets include humans, dogs and vehicles. To classify the target, it is suggested that the algorithm analyzes and characterizes the responses of multiple sensors in time and frequency domain. The Principal Component Analysis (PCA) is proposed for the feature extraction. The target classification is performed through the developed machine learning technique of Support Vector Machine (SVM) that involves in data fusion algorithms.

Dr. Kim's Research