9,234 resources related to Space Exploration
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2021 IEEE Photovoltaic Specialists Conference (PVSC)
Photovoltaic materials, devices, systems and related science and technology
The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
2006 International Conference on Machine Learning and Cybernetics, 2006
In deep space exploration missions, total ΔV is a very important performance index. Δ VEGA and optimization are two important technique to reduce the total Δ V in deep space missions. The earth swingby increase the sensitivity of the trajectory greatly, so the optimization of Δ VEGA trajectory is one of the most sophisticated problem currently investigated in the region. ...
Proceedings 2011 International Conference on Human Health and Biomedical Engineering, 2011
Pentobarbital was used to induce the place orientation and space exploration dysfunctions. Morris water maze was used to observe mice's abilities of place orientation and space exploration. Bradford method was used for the determination of the total protein and spectrometry method was used for the detection of acetylcholinesterase (AChE) activity. Extract of Polygala tenuifolia and Poria cocos (EPP) could shorten ...
2006 ITI 4th International Conference on Information & Communications Technology, 2006
In this paper, a design space exploration of a reconfigurable HMAC-hash unit is discussed. This unit implements one of six standard hash algorithms, namely, MD5, SHA-1, RIPEMD-160, HMAC-MD5, HMAC-SHA-1, and HMAC-RIPEMD-160. The design space exploration of this unit is done using the Handel-C language. We propose key reuse mechanism for successive messages in order to improve the HMAC throughput. In ...
2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 2016
Electronic System level design has an important role in the multi-processor embedded system on chip design. Two important steps in this process are evaluation of a single design configuration and design space exploration. In the first part of design process, high-level simple analytical models for application mapping and evaluation are used and modified aiming at accelerating the evaluation of a ...
2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, 2010
Increasing diversity in packet-processing applications and rapid increases in channel bandwidth lead to greater complexity in communication protocols. These factors result in larger computational loads for packet-processing engines that introduce high performance microprocessor designs as an important solution. This paper presents an exhaustive simulation for exploring the performance of instruction-level parallel super scalar processors executing packet-processing applications. Based on the ...
Future of Space Exploration from the Leaders at Mars One, Astrobotic, and Teledyne Brown Engineering: Innovation Spotlight with Grant Imahara
The Full Spectrum: Travelogue of the Atomic Age
Synthetic Fuels to the Rescue?
Engineering the Big Bang
Intelligent Systems for Deep Space Exploration: Solutions and Challenges - Roberto Furfaro
The Full Spectrum: COSMIC Satellites Use GPS to Forecast Weather
Visit to the Lightning Lab: Zapping Model Airplanes with Over 2 Million Volts
Space Exploration is Reinventing Healthcare – What’s the ROI? - Dorit Donoviel - IEEE EMBS at NIH, 2019
Robotics History: Narratives and Networks Oral Histories:Joel Burdick
Developing a Plasma Thruster in Costa Rica
Panel: Space Exploration is Reinventing Healthcare - IEEE EMBS at NIH, 2019
ROI from NASA to Health & Health Care on Earth - Aenor Sawyer - IEEE EMBS at NIH, 2019
Power Electronics for the Space Exploration Hype: APEC 2019
IROS TV 2019-STAR LAB at the University of Surrey Space Technology for Autonomous systems & Robotics
Robotics History: Narratives and Networks Oral Histories:Rich Volpe
A Robot to Mine the Moon
The AcceleGlove: A Cheap and Lightweight Control Glove
SpaceX receives the IEEE Spectrum Emerging Technology Award - Honors Ceremony 2017
Engineering Our Future - Q and A with Panel
In deep space exploration missions, total ΔV is a very important performance index. Δ VEGA and optimization are two important technique to reduce the total Δ V in deep space missions. The earth swingby increase the sensitivity of the trajectory greatly, so the optimization of Δ VEGA trajectory is one of the most sophisticated problem currently investigated in the region. In this paper, the whole Δ VEGA trajectory is divided into several trajectory segments. Each trajectory segment connecting consecutive maneuver points is found by solving an N-body analog to Lambert's problem. We can also obtain state transition matrix of each trajectory segments. The analytical gradients of total Δ V with respect to adjustable variables such as launch time, arrival time, swingby time and the periapsis position relative to the gravitating body are derived based on the transition matrix and calculus of variation. The performance index could be reduced by utilizing quasi-Newton algorithm. At the end of this paper, the Δ VEGA trajectory of Chinese deep space exploration mission to the near earth asteroid Ivar is optimized by this method.
Pentobarbital was used to induce the place orientation and space exploration dysfunctions. Morris water maze was used to observe mice's abilities of place orientation and space exploration. Bradford method was used for the determination of the total protein and spectrometry method was used for the detection of acetylcholinesterase (AChE) activity. Extract of Polygala tenuifolia and Poria cocos (EPP) could shorten the escape latency in place orientation test and increase numbers of mice's crossing the location where the platform had been in the space exploration test. EPP could decrease AChE activities in the brain and the serum of mice with learning and memory disorders induced by pentobarbital. EPP would improve the learning and memory abilities of mice induced by chemical drugs. The results demonstrate that EPP would improve place orientation and space exploration dysfunctions of mice and it; exerts its effects perhaps by inhibiting AChE activity to reduce acetylcholine (ACh) hydrolysis in the brain and the serum in mice.
In this paper, a design space exploration of a reconfigurable HMAC-hash unit is discussed. This unit implements one of six standard hash algorithms, namely, MD5, SHA-1, RIPEMD-160, HMAC-MD5, HMAC-SHA-1, and HMAC-RIPEMD-160. The design space exploration of this unit is done using the Handel-C language. We propose key reuse mechanism for successive messages in order to improve the HMAC throughput. In addition, we explore the design space by providing two implementations of the HMAC algorithm, one for a general key size and another for a fixed key size. In each implementation, we use standard key use and the proposed key reuse mechanisms, and that results in four different implementations. The performance of these four implementations is analyzed with respect to three design metrics: area, delay, and throughput. We found that the proposed key reuse mechanism improves the HMAC throughput significantly when a large key is reused, with negligible increase in area and delay. In addition, we found that the implementation of HMAC for fixed key size is better in area, delay, and throughput than the HMAC implementation for general key size.
Electronic System level design has an important role in the multi-processor embedded system on chip design. Two important steps in this process are evaluation of a single design configuration and design space exploration. In the first part of design process, high-level simple analytical models for application mapping and evaluation are used and modified aiming at accelerating the evaluation of a single design configuration. Using the analytical model the design space is pruned and explored at high speed with low accuracy. In the second part of the design process, two Multi Objective Optimization Algorithms based on Particle Swarm Optimization and Simulated Annealing have been proposed to perform design space exploration of the pruned design space with higher accuracy taking advantages of low-level architectural simulation engines. The results obtained by proposed algorithms will provide the designer more accurate solutions within an acceptable time. Considering the MJPEG application as the case study, each of these methods produces a set of near-optimal points. Simulation results show that the proposed methods can lead to near-optimal design configurations with acceptable accuracy in reasonable time.
Increasing diversity in packet-processing applications and rapid increases in channel bandwidth lead to greater complexity in communication protocols. These factors result in larger computational loads for packet-processing engines that introduce high performance microprocessor designs as an important solution. This paper presents an exhaustive simulation for exploring the performance of instruction-level parallel super scalar processors executing packet-processing applications. Based on the simulation results, a design space exploration has been used to derive performance-efficient application- specific super scalar processor architecture based on MIPS instruction set architecture. Simple Scalar architecture toolset has been used for design space exploration and network applications have been investigated to guide the architecture exploration. The optimizations achieve up to 80% improvement in performance for representative packet-processing applications.
The increasing ubiquity of heterogeneous parallel computing platforms nowadays creates the challenge to fully exploit the available computational power when porting existing programs or developing new applications with portability in mind. Existing design space exploration methods focus on specialized applications amenable to compile-time analysis. Real-world applications, however, tend to exhibit complex behavior that depends on input data and even timing. This paper proposes a methodology for creating a finite (approximate) representation of the design space of general streaming applications, based on detailed tracking of a serial run of the program. Homotopy theoretic methods are used to demonstrate how the design space of a program can be reconstructed from its serial execution trajectory. Moreover, the concept of a dependency graph of a dataflow program defined in the literature is extended with the definition of two new kinds of dependencies - the Guard Enable and Disable - and the 3-tuple notion needed to represent them.
Due to the large error correction capacity of stochastic and burst errors, Reed-Solomon codes are widely employed as error control codes in various occasions of uplink data control in deep space exploration. This paper investigates one of the decoding techniques of CCSDS RS (255, 223) code based on soft decision adaptive belief propagation algorithm. In order to reduce the complexities and improve decoding efficiency, an improved ABP algorithm with more inner BP iterations is proposed, which deduces the number of outer full iterations. Simulation results, by optimizing the number of outer iterations and inner iterations, show that, the proposed technique gains almost one times in decoding efficiency, while providing close decoding performance.
In the last years, the integration of specialized hardware accelerators in Multiprocessor System-on-Chip (MpSoC) led to a new kind of architectures combining both software (SW) and hardware (HW) computational resources. For these new Heterogeneous MpSoC (HMpSoC) architectures, performance and energy consumption depend on a large set of parameters such as the HW/SW partitioning, the type of HW implementation or the communication cost. Design Space Exploration (DSE) consists in adjusting these parameters while monitoring a set of metrics (execution time, power, energy efficiency) to find the best mapping of the application on the targeted architecture. With the shift from performance-aware to energy-aware designs, computer-aided design and development tools try to reduce the large design space by simplifying HW/SW mapping mechanisms. However, energy consumption is not well supported in most of DSE tools due to the difficulty to fast and accurately estimate the energy consumption. To this aim, this work introduces a DSE method based on an analytical power model to circumvent the computation time bottleneck of state- of-the-art DSE methods. This exploration method proposes to optimize the HW/SW partitioning and mapping under user-defined objectives, especially an energy constraint. It targets tiling-based parallel applications and relies on an analytical power model that provides the DSE framework with the execution time and energy of a HW/SW configuration. The power model parameters are obtained with the measurements of a tiny subset of the design space, which are then injected into two extraction functions to obtain analytical formulations of the execution time and the energy consumption of the computation kernel. The partitioning problem constraints are defined as a set of inequalities with Boolean, integer (discrete) and non-integer (continuous) variables within a Mixed Integer Linear Programming (MILP) framework. Then, the best configuration that minimizes the user objective (e.g. execution time or total energy consumption) can be efficiently determined using commercial or open source solvers within a second. This methodology was tested on a Zynq-based heterogeneous architecture with two application kernels: a matrix multiplication and a Stencil computation. The results show a minimum of 12% acceleration speed-up and energy saving compared to standard approaches. They also show that the most energy-efficient solution is application-and platform- dependent and moreover hardly predictable. Such method could be included in a complete framework with a multi-step exploration to obtain an energy-efficient mapping of a full application on HMpSoC and to open new opportunity for future computer-aided design tools.
Efficient modeling techniques are required to accelerate design space exploration for integrated spiral inductors. In this letter, closed-form modeling techniques for the inductor's physical inductance and substrate eddy currents are introduced. The model provides several orders of magnitude performance improvement over field-solver-based approaches with typical errors of less than 4% while demonstrating excellent agreement with measured data from fabricated inductors
Cache memory plays a major role in memory hierarchy for improving the system performance. Cache configuration includes cache size, associativity, block size, replacement policy and write policies. Selection of different values for all these parameters decide the performance, energy consumption and chip area of the system for the given application. Finding the best cache configuration for application involves the cache design space exploration. Cache design space is time consuming because it contains all combination of cache parameters. This paper surveys different techniques to find the efficient design space aimed at reducing the design space time and provide good insight to researchers to explore further.
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Operations Research Analyst Researcher II / Sr. Researcher - ACL
Georgia Tech Research Institute (GTRI)
Model Based Systems Engineer Senior Researcher - ACL
Georgia Tech Research Institute (GTRI)
Senior/Principal Operations Research Analyst - ACL
Georgia Tech Research Institute (GTRI)
Model Based Systems Engineer Researcher II - ACL
Georgia Tech Research Institute (GTRI)