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Dive into the research topics where Aleksander Milshteyn is active.

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Featured researches published by Aleksander Milshteyn.


computer science and information engineering | 2009

Implementation and Quantitative Analysis of a Shared-Memory Based Parallel Server Architecture for Aerospace Information Exchange Applications

A. Alegre; S. Beltran; J. Estrada; Aleksander Milshteyn; Charles Liu; Helen Boussalis

This paper focuses on the implementation and quantitative analysis of a high-performance parallel processing aerospace information server. An innovative model of software architecture is provided to effectively utilize the computational power of a parallel server platform for efficient, on-demand aerospace information exchange through the Internet. This is a representative application for servers whose features are common to the classical client-server model. The server architecture supports thread, core, and/or processor-level parallel processing for high performance computing. Memory devices (i.e. cache memory, main memory, and secondary memory) are either shared or distributed among the computational units. Such features facilitate our study of identifying and overcoming the architectural bottlenecks of current commercial server configurations.


Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education | 2008

Development and Implementation of an Information Server for Web-based Education in Astronomy

A. Alegre; J. Estrada; B. Coalson; Aleksander Milshteyn; Helen Boussalis; Charles Liu

This paper focuses on the development of a high-performance information server for web-based education. An innovative model of software architecture is provided to effectively utilize the computational power of a parallel server platform for efficient, on-demand astronomical image browsing through the Internet. Our previous research revealed the demand for astronomical image browsing raised by various communities engaged in educational and research activities. Additionally, we have characterized network performance under different levels of activity and identified techniques for efficient image transmission over the Internet.


international conference on universal access in human computer interaction | 2014

Cooperative Semi-autonomous Robotic Network for Search and Rescue Operations

Garth Herman; Aleksander Milshteyn; Airs Lin; Manuel Garcia; Charles Liu; Darrell Guillaume; Khosrow Rad; Helen Boussalis

The results presented in this paper prove the viability of developing a robotic network for search and rescue operations. With the capability of peer-to-peer communication, such robots form an ad-hoc network called Cooperative Mobile Network CMN. All robots in the CMN are semi-autonomous in that each operates in three modes: 1 fully controlled by a human commander; 2 controlled by a human commander for critical operations only; and 3 fully relying on its own intelligence to make decisions for cooperative operations. Due to the constraints of weight and processing power, diverse CMN operations utilize multiple robots with complementing functionalities. This work was performed at the Structures Propulsion And Control Engineering SPACE NASA sponsored University Research Center URC of excellence at the California State University, Los Angeles.


mediterranean conference on embedded computing | 2014

Virtual reality head-tracking observation system for mobile robot

Airs Lin; Aleksander Milshteyn; Garth Herman; Manuel Garcia; Charles Liu; Khosrow Rad; Darrell Guillaume; Helen Boussalis

Previously, Hybrid-Routing Algorithm Model was proposed by the Structures, Pointing, and Control Engineering (SPACE) University Research Center1 at California State University of Los Angeles (CSULA). The Hybrid-Routing Algorithm Model utilizes semi-autonomous control during robotic operations in unknown, remote, hazardous, or otherwise inaccessible terrains. In order to observe and monitor mobile robots surroundings, an onboard virtual reality system has been designed and implemented. It operates by remotely following the commanded movement of the robotic mission operators headset. The proposed design features the Inertial Measurement Unit (IMU) chip secured to the center of the iTV-goggles unit., which is worn by the robotic mission operator. Direction cosine matrix algorithm is used to update the body coordinates of the IMU chip to the global reference system. Euler angles are computed based on the angular orientation of the mission operators headset and are transmitted to the mobile robot. The observation system contains multiple servo motors that rotate onboard camera based on the received pitch roll, and yaw information. The observation system transmits compressed visual information of robots surroundings to the Host Computing Station. This video is rendered via iTV-goggles display to the mission operator.


applied reconfigurable computing | 2013

High level FPGA modeling of an JPEG encoder

Gabriel Nunéz; Evan Tsai; Airs Lin; Aleksander Milshteyn; Garth Herman; Helen Boussallis; Charles Liu

A high-level Field Programmable Gate Array (FPGA) prototype for a JPEG image encoder has been developed by the Structures, Pointing, and Control Engineering (SPACE) University Research Center (URC). The FPGA prototype uses MathWorks Simulink and Xilinx System Generator for deployment on its Virtex-5 FPGA board. The FPGA module serves as a co-processor of a real-time Ubiquitous Video Conferencing (UVC) software package. The project objective is to: 1) study the high-level synthesis method for FPGA design, and 2) provide the digital signal processing necessary to offload computationally-intensive video processing data from a host computer running the UVC application [1]. The project uses a Xilinx XUPV5-LV110T FPGA Development System. The image compression utilizes the JPEG standard. Each module for the JPEG encoder is designed in Simulink. To reduce computation time on the FPGA due to floating-point Discrete Cosine Transform (DCT) calculations, a table containing DCT cosine product values was computed in Excel, accurate to two decimal digits. These values are shifted 6 bits to the left to maintain accuracy and loaded onto the FPGA. The product of 8-bit YCbCr channel data and tabulated values is accumulated into a register, then scaled and shifted 6 bits to the right to complete the DCT.


Archive | 2012

Semantic Network Active Directory Service System

S. Beltran; Adrienne Lam; J. Estrada; Aleksander Milshteyn; John Paul Adigwu; Alexander Alegre; Charles Liu; Helen Boussalis

The project focuses on the implementation of a Semantic Network utilizing an Active Directory Service System in providing real-time access of relevant information within closed communities, ranging from educational standpoints to secure server networks where queried information must be protected. A distributed server model is implemented to accommodate an expanding Semantic Network. However, the added scalability poses a challenge in the synchronization of data across multiple servers. To provide a uniform Semantic Network and efficiently utilize the computational power of this distributed server platform, an innovative software architectural model is presented. Such endeavors fulfill on-demand Internet-based client requests for aerospace information exchange [1]. This exchange is based on synchronization of an Extensible Markup Language (XML) [2] directory and file structure, which tracks content and metadata across the distributed server network.


Journal of Next Generation Information Technology | 2010

High-Performance Parallel Processing Aerospace Information Server

Aleksander Milshteyn; A. Alegre; J. Estrada; Adrienne Lam; S. Beltran; John Paul Adigwu; Helen Boussalis; Charles Liu


international conference on wireless information networks and systems | 2018

Bandwidth Analysis of the Ubiquitous Video Conferencing Application

Neil Arellano; Eric Diaz; Aleksander Milshteyn; Sergio Mendoza; Helen Boussalis; Charles Liu


2017 European Conference on Electrical Engineering and Computer Science (EECS) | 2017

The Effect of Return Path Current on Analog Sensor Readings in Mixed-Signal Embedded Applications

Airs Lin; Aleksander Milshteyn; Manuel Garcia; Khosrow Rad; Charles Liu; Khalil Dajani


sai intelligent systems conference | 2015

Utilization of PSoC-5 for sensor data acquisition in a semi-autonomous robotic platform

Airs Lin; Aleksander Milshteyn; Garth Herman; Manuel Garcia; Charles Liu; Khosrow Rad; Darrel Guillaume; Helen Boussalis

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Charles Liu

California State University

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Helen Boussalis

California State University

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J. Estrada

California State University

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Airs Lin

California State University

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S. Beltran

California State University

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Adrienne Lam

California State University

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Garth Herman

California State University

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Khosrow Rad

California State University

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Manuel Garcia

California State University

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A. Alegre

California State University

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