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Department of Mehcanical EngineeringUnmanned aerial vehicles (UAVs) are widely used in various areas such as exploration, transportation and rescue activity due to light weight, low cost, high mobility and intelligence. This intelligent system consists of highly integrated and embedded systems along with a microprocessor to perform specific task by computing algorithm or processing data. In particular, image processing is one of main core technologies to handle important tasks such as target tracking, positioning, visual servoing using visual system. However, it often requires heavy amount of computation burden and an additional micro PC controller with a flight computer should be additionally used to process image data. However, performance of the controller is not so good enough due to limited power, size, and weight. Therefore, efficient image processing techniques are needed considering computing load and hardware resources for real time operation on embedded systems. The objective of the thesis research is to develop an efficient image processing framework on embedded systems utilizing neural network and various optimized computation techniques to satisfy both efficient computing speed versus resource usage and accuracy. Image processing techniques has been proposed and tested for management computing resources and operating high performance missions in embedded systems. Graphic processing units (GPUs) available in the market can be used for parallel computing to accelerate computing speed. Multiple cores within central processing units (CPUs) are used like multi-threading during data uploading and downloading between the CPU and the GPU. In order to minimize computing load, several methods have been proposed. The first method is visualization of convolutional neural network (CNN) that can perform both localization and detection simultaneously. The second is region proposal for input area of CNN through simple image processing, which helps algorithm to avoid full frame processing. Finally, surplus computing resources can be saved by control the transient performance such as the FPS limitation. These optimization methods have been experimentally applied to a ground vehicle and quadrotor UAVs and verified that the developed methods offer an optimization to process in embedded environment by saving CPU and memory resources. In addition, they can support to perform various tasks such as object detection and path planning, obstacle avoidance. Through optimization and algorithms, they reveal a number of improvements for the embedded system compared to the existing. Considering the characteristics of the system to transplant the various useful algorithms to the embedded system, the method developed in the research can be further applied to various practical applications.ope

Design of Milkotester for Fat and CLR Measurement using Arduino Microcontroller

Abstract: This paper introduces the design and working of arduino microcontroller for measuring the FAT and CLR. In many dairy farms, computer aided control of physiological and sanitary parameters are already used and lead to a productivity increase and the elimination of some tedious operations. Embedded Technology is now in its prime and the wealth of knowledge available is mind-blowing. An embedded system can be defined as a control system or computer system designed to perform a specific task. Embedded systems are playing important roles in our lives every day, even though they might not necessarily be visible. Here I describes one of the applications of embedded system MILKOTESTER. It is Small compact, embedded in a single unit, requires less power and measure milk parameters like SNF (Solid but Not FAT), FAT, CLR with less cost. Also with the help of IOT (Internet of Things) process the milk industry should be able to send the real time reading information of milk to the government so that it helps to overcome the illegal things such as milk quality during the production of milk pocket. Keywords: Fast analysis-allows a large number of measurement to be done,Simple and light weight design, Low cost, Low power consumption, Easy to operate

Experimental Analysis of Latent Heat Storages integrated into a Liquid Cooling System for the Cooling of Power Electronics

The progressive electrification in automotive and aircraft industry results in increasing power densities and waste heat of power electronics. Due to higher power densities air cooling systems are substituted by more effective but in many cases heavier liquid cooling systems. Since the weight of cooling systems is a crucial aspect during the design process of vehicles, the dimensions of the cooling systems should be minimized. The dynamics of power electronics’ waste heat implies often short periods of high waste heat, so-called peaks. Cooling systems are usually designed for maximum waste heat.  This leads to an oversized cooling system for a wide range of operating points. Latent Heat Storages (LHS) compensates peaks and enables a downgrade of the cooling system, which in turn reduces the cooling system weight. The integration of a Composite Latent Heat Storage (CLHS) into a liquid cooling system is investigated experimentally at Hamburg University of Technology. The main objective is to analyze the implementation of a LHS as a buffer storage under different boundary conditions. The test rig is designed for a maximum waste heat of 500 W, resulting in a maximum heat flux density of 20.8 W/cm². The heat is applied by three cartridge heaters embedded into an aluminium body representing a power electronics module. The latent heat storage uses paraffin as Phase Change Materials (PCM). On the one hand paraffins allow a light-weight storage, but on the other hand they have a very low thermal conductivity, therefore a finned aluminum structure is used to improve the transport of the waste heat into the PCM. The power electronics dummy is fixed between the latent heat storage and a cold plate. The temperature is measured on both contact surfaces of the LHS. The cooling cycle is a one-phase cooling cycle with a heat exchanger as heat sink, a tank, a cold plate and a pump, which provides a maximum mass flow rate of 1200 kg/h. The coolant is Propylene-Glycol-Water (PGW) in a mixture of 60/40. The dynamics of the waste heat are given by a laboratory power supply. The paper presents the results of tests showing the influence of different waste heat load progressions including the melting and the solidification. All tests are performed for a CLHS and a Sensible Heat Storage (SHS) made of aluminium. The focus is on the buffering of the thermal energy in order to reduce the required mass flow rate and in consequence the weight

A Power-Aware Framework for Executing Streaming Programs on Networks-on-Chip

Nilesh Karavadara, Simon Folie, Michael Zolda, Vu Thien Nga Nguyen, Raimund Kirner, 'A Power-Aware Framework for Executing Streaming Programs on Networks-on-Chip'. Paper presented at the Int'l Workshop on Performance, Power and Predictability of Many-Core Embedded Systems (3PMCES'14), Dresden, Germany, 24-28 March 2014.Software developers are discovering that practices which have successfully served single-core platforms for decades do no longer work for multi-cores. Stream processing is a parallel execution model that is well-suited for architectures with multiple computational elements that are connected by a network. We propose a power-aware streaming execution layer for network-on-chip architectures that addresses the energy constraints of embedded devices. Our proof-of-concept implementation targets the Intel SCC processor, which connects 48 cores via a network-on- chip. We motivate our design decisions and describe the status of our implementation

Early dynamical evolution of star cluster systems

Violent relaxation -- the protocluster dynamical response to the expulsion of its residual star forming gas -- is a short albeit crucial episode in the evolution of star clusters and star cluster systems. Because it is heavily driven by cluster formation and environmental conditions, it is a potentially highly rewarding phase in terms of probing star formation and galaxy evolution. In this contribution I review how cluster formation and environmental conditions affect the shape of the young cluster mass function and the relation between the present star formation rate of galaxies and the mass of their young most massive cluster.Comment: 8 pages, 5 figures. Invited talk. To appear in the proceedings of IAU Symp. 266 (Star clusters, Rio de Janeiro, Brazil, August 2009), eds. R. de Grijs and J. Lepin

TechNews digests: Jan - Nov 2009

TechNews is a technology, news and analysis service aimed at anyone in the education sector keen to stay informed about technology developments, trends and issues. TechNews focuses on emerging technologies and other technology news. TechNews service : digests september 2004 till May 2010 Analysis pieces and News combined publish every 2 to 3 month