Numerical Methods for Scientists and Engineers

electrical and computer engineering ece courses ece 257a multiuser communication systems 4 congestion control convex programming and dual controller fair end end rate allocation max min fair vs proportional, electrical systems engineering washington university arye nehorai eugene and martha lohman professor of electrical engineering phd stanford university signal processing imaging biomedicine communications, ieee transactions on aerospace and electronic systems ieee transactions on aerospace and electronic systems focuses on the organization design development integration and operation of complex systems for space air, department of electrical engineering and computer science h kumar wickramsinghe department chair 2213 engineering hall 949 824 4821 http www eng uci edu dept eecs overview electrical engineering and computer science is, download electrical and electronics engineering ebooks syst mes temps discret commande num rique des proc d s pdf 499 ko terminology and symbols in control engineering pdf 326 ko the best of thomas, publications stream wise list iit kanpur papers published in journals in 2016 dutta s patchaikani p k behera l near optimal controller for nonlinear continuous time systems with unknown dynamics, resolve a doi name type or paste a doi name into the text box click go your browser will take you to a web page url associated with that doi name send questions or comments to doi, peer reviewed journal ijera com international journal of engineering research and applications ijera is an open access online peer reviewed international journal that publishes research, dod sbir 2016 2 sbir gov note the solicitations and topics listed on this site are copies from the various sbir agency solicitations and are not necessarily the latest and most up, an english japanese dictionary of electrical engineering c 2952 9 691 c band c c contact c c maccs centre for mathematical modelling and computer simulation, the of and to a in that is was he for it with as his on be most common text click on the icon to return to www berro com and to enjoy and benefit the of and to a in that is was he for it with as his on be at by i this had

Detection, Estimation, and Modulation Theory

Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers or game consoles naturally through gestures and spoken commands without any other peripheral equipment. As such, it has commanded intense interests in research and development on the Kinect technology. In this paper, we present, a comprehensive survey on Kinect applications, and the latest research and development on motion recognition using data captured by the Kinect sensor. On the applications front, we review the applications of the Kinect technology in a variety of areas, including healthcare, education and performing arts, robotics, sign language recognition, retail services, workplace safety training, as well as 3D reconstructions. On the technology front, we provide an overview of the main features of both versions of the Kinect sensor together with the depth sensing technologies used, and review literatures on human motion recognition techniques used in Kinect applications. We provide a classification of motion recognition techniques to highlight the different approaches used in human motion recognition. Furthermore, we compile a list of publicly available Kinect datasets. These datasets are valuable resources for researchers to investigate better methods for human motion recognition and lower-level computer vision tasks such as segmentation, object detection and human pose estimation.

/pdf/a-survey-of-applications-and-human-motion-recognition-with-hags1y076t.pdf

A Survey of Applications and Human Motion Recognition with Microsoft Kinect

IEEE transactions on very large scale integration (VLSI) systems

This paper presents a novel convolutional neural network (CNN) -based method for high-accuracy real-time car license plate detection. Many contemporary methods for car license plate detection are reasonably effective under the specific conditions or strong assumptions only. However, they exhibit poor performance when the assessed car license plate images have a degree of rotation, as a result of manual capture by traffic police or deviation of the camera. Therefore, we propose the a CNN-based MD-YOLO framework for multi-directional car license plate detection. Using accurate rotation angle prediction and a fast intersection-over-union evaluation strategy, our proposed method can elegantly manage rotational problems in real-time scenarios. A series of experiments have been carried out to establish that the proposed method outperforms over other existing state-of-the-art methods in terms of better accuracy and lower computational cost.

A New CNN-Based Method for Multi-Directional Car License Plate Detection

Due to its reduced leakage and suppressed short channel effects, FinFET has been adopted by semiconductor industry to replace conventional bulk CMOS on most advanced process nodes. In this paper, performance of Predictive Technology Model (PTM) and BSIM-CMG models are investigated, and leakage reduction techniques are applied to adder circuit designs in order to minimize static power. HSPICE simulation results confirm significant leakage reduction with negligible performance penalty when power gating and zig-zag selection of sleep transistors are used simultaneously.

Leakage reduction techniques for FinFET datapath circuits

Deep learning algorithms have proved to be highly robust in Ultrasonic Non-Destructive Evaluation (NDE) applications. However, deep learning algorithms usually require high computational capability, which may not be feasible for applications in the field since embedded systems (edge devices) are subject to tight constraints for computational logic, memory and power. This research aims to accelerate the inference speed on a low-cost FPGA based embedded system for a Meta Learning based deep learning model used in a recently introduced Ultrasonic multiclass detection algorithm. The proposed method incorporates both model compression and a new hardware accelerator for implementing the compressed Convolutional Neural Network (CNN). The model compression method, the architecture of the accelerator and experimental results are presented in this paper.

Model Compression and FPGA Implementation of an Ultrasonic Flaw Detection Algorithm based on Meta Learning

In this work, an artificial pancreas AP system, implemented on a mobile device is described. The proposed AP platform integrates hardware insulin pump, glucose monitor, various sensors for vital signs and physical activities and software closed-loop control algorithm, sensor fusion, data storage and remote server access components via smartphone that is running a dedicated Operating System designed for AP systems. Interfacing with this OS and custom application development steps are presented. Closed loop operation is demonstrated with case studies.

Hardware and Software Implementation of an Artificial Pancreas System on a Mobile Device

Application commerce refers to the economics related to the creation and distribution of software applications to the users of a computing platform. The need for a security infrastructure by the Application Programming Interface (API) makers for application commerce is necessitated by i) user privacy and trust concerns for the application, ii) the warranty concerns of the application maker, iii) the concerns from regulatory bodies (Recording Industry, Wireless Regulatory bodies) on content consumption and iv) revenue generation potential for the application maker. In this paper, we outline and compare the security infrastructures of existing API makers. The challenges posed by the security requirements and current solutions are discussed. We also present a workflow for application developers within the constraints set by the application framework provider for ease of development and distribution.

Application commerce: Security challenges and workflows

This paper studies an adder technique that performs three input addition utilizing parallel prefix adders. The adder architectures are called three-input flagged prefix adders (TIFPA) due to the utilization of a new set of intermediate outputs called flag bits to obtain the desired result. One of the advantages of this technique is the elimination of dedicated adder units to perform three-input addition. This adder can find its use in applications such as multiplication or multi-media units. This paper examines the effect on the performance of the adder when the operand size is expanded from 16 bits to 32 and 64 bits. Furthermore, a logical effort analysis has also been performed on the TIFPA to confirm the simulation and analytical results. The performance of this adder design has been compared to that of carry save adders (CSA) to understand the performance gain of the proposed technique. The comparison has been made with respect to the simulation results and also on the basis of logical effort.

Erdal Oruklu

Papers

Leakage reduction techniques for FinFET datapath circuits

Model Compression and FPGA Implementation of an Ultrasonic Flaw Detection Algorithm based on Meta Learning

Hardware and Software Implementation of an Artificial Pancreas System on a Mobile Device

Application commerce: Security challenges and workflows

Performance analysis of flagged prefix adders with logical effort