Taikyeong T. Jeong

Power efficiency system for flight application (pesfa) mission

The objective of this current research is to describe the design of a high performance micro sensor for small spacecraft that acts as the core of a stand-alone aerospace system. A high performance cascaded micro sensor is designed with micro-electro-mechanical systems (MEMS) and nano-scaled technology, and can be incorporated in conventional methods as well as new spacecraft system designs focused on power efficiency system for flight application (PESFA) mission, referred to herein as the PESFA mission. This research describes the behavior of high performance micro sensor design methodology with dynamic configuration. The results of the computer simulations of these micro sensors are compared for possible improvements and provide high power efficiency at very long lifetimes to be able to operate independent of an energy limitation in flight application such as spacecraft and aerospace systems

Design trade-offs and power reduction techniques for high performance circuits and system

This paper presents a novel low power design methodology for dynamic CMOS circuits in order to improve the design trade-off between power and speed. It also discusses a new design methodology of power reduction techniques for high-performance chips. As confirmed through the experiment, we are maximizing the performance of the chip in terms of speed and power. The simulation results of the proposed method are compared and possible improvements and applications are discussed.

Implementation of embedded system for intelligent image recognition and processing

The main challenges for image recognition in an embedded system design are the uncertainty of the mobile user’s location and the limitation of measurement algorithm. This paper demonstrates an implementation of an embedded system which is used for vehicle tracking and license plate recognition. The image of the plate is scanned by the camera attached to a mobile device and then encoded data is transmitted along with the location information to a server that is located in a remote place through a wireless communication network. In order to track a user’s location, the image recognition is estimated with spatial and attribute information receiving priority. n nIn this paper, we present an embedded system for intelligent interface between vehicle and users, employing spatial relative distance algorithm. Comparing the image and location information provides comparable results, and confirms that the embedded system is fairly evaluated by the intelligent image recognition technique.

Anomaly intrusion detection based on clustering a data stream

In anomaly intrusion detection, how to model the normal behavior of activities performed by a user is an important issue. To extract the normal behavior as a profile, conventional data mining techniques are widely applied to a finite audit data set. However, these approaches can only model the static behavior of a user in the audit data set. This drawback can be overcome by viewing the continuous activities of a user as an audit data stream. This paper proposes a new clustering algorithm which continuously models a data stream. A set of features is used to represent the characteristics of an activity. For each feature, the clusters of feature values corresponding to activities observed so far in an audit data stream are identified by the proposed clustering algorithm for data streams. As a result, without maintaining any historical activity of a user physically, new activities of the user can be continuously reflected to the on-going result of clustering.

Special Investigation of Variable Star Delta Cephei via Neural Network

We investigated that the brightness magnitude of the Del Cephei had been adapted to three different training values and each training had four different hidden layers in the back-propagation neural network (BPNN) models. The best forecasting mean through different approaches in the BPNN model was obtained at 15% training with four hidden layers. However, the difference in forecasting accuracies of the different levels was not statistically significant.

Physical modeling of laser-induced breakdown of glass

We made a physical model for investigation of laser-induced breakdown of glass. To estimate the laser energy absorption through electron heating, we derive a power transfer rate equation and an electron number density equation for a steady state as a function of temperature and electric field. Numerical simulations using the derived equations show that the laser power absorption dependence of glass on temperature and electric field strength.

Design and verification for hierarchical power efficiency system (HPES) design techniques using low power CMOS digital logic

This paper presents the design implementation of digital circuit and verification method for power efficiency systems, focused on static power consumption while the CMOS logic is in standby mode. As complexity rises, it is necessary to study the effects of system energy at the circuit level and to develop accurate fault models to ensure system dependability. Our approach to designing reliable hardware involves techniques for hierarchical power efficiency system (HPES) design and a judicious mixture of verification method is verified by this formal refinement. This design methodology is validated by the low power adder with functional verification at the chip level after satisfying the design specification. It also describes a new HPES integration method combining low power circuit for special purpose computers. The use of new circuits and their corresponding HPES design techniques leads to minimal system failure in terms of reliability, speed, low power and design complexity over a wide range of integrated circuit (IC) designs.