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A floating point conversion algorithm for mixed precision computations

Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第9期13卷 711-718页

作者： Choon Lih HOO sallehuddin mohamed haris Nik Abdullah Nik mohamed Department of Mechanical and Materials Engineering Universiti Kebangsaan MalaysiaUKM Bangi 43600Malaysia

The floating point number is the most commonly used real number representation for digital computations due to its high precision characteristics. It is used on computers and on single chip applications such as DSP chips. Double precision (64-bit) representations allow for a wider range of real numbers to be denoted. However, single precision (32-bit) operations are more efficient. Recently, there has been an increasing interest in mixed precision computations which take advantage of single precision efficiency on 64-bit numbers. This calls for the ability to interchange between the two formats. In this paper, an algorithm that converts floating point numbers from 64- to 32-bit representations is presented. The algorithm was implemented as a Verilog code and tested on field programmable gate array (FPGA) using the Quartus II DE2 board and Agilent 16821A portable logic analyzer. Results indicate that the algorithm can perform the conversion reliably and accurately within a constant execution time of 25 ns with a 20 MHz clock frequency regardless of the number being converted.

关键词： Double precision Single precision FPGA Verilog HooHar algorithm

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Review:Advances in the control of mechatronic suspension systems

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Journal of Zhejiang University-Science C(Computers and Electronics) 2014年第10期15卷 848-860页

作者： Wajdi S.ABOUD sallehuddin mohamed haris Yuzita YAACOB Centre for Automotive Research Universiti Kebangsaan MalaysiaUKM Bangi 43600 Malaysia Institute of Technology-Baghdad Foundation of Technical EducationBaghdad Iraq Faculty of Information Science and Technology Universiti Kebangsaan MalaysiaUKM Bangi 43600 Malaysia

The suspension system is a key element in motor vehicles. Advancements in electronics and microprocessor technology have led to the realization of mechatronic suspensions. Since its introduction in some production motorcars in the 1980 s, it has remained an area which sees active research and development, and this will likely continue for many years to come. With the aim of identifying current trends and future focus areas, this paper presents a review on the state-of-the-art of mechatronic suspensions. First, some commonly used classifications of mechatronic suspensions are presented. This is followed by a discussion on some of the actuating mechanisms used to provide control action. A survey is then reported on the many types of control approaches, including look-ahead preview, predictive, fuzzy logic, proportional–integral–derivative(PID), optimal, robust, adaptive, robust adaptive,and switching control. In conclusion, hydraulic actuators are most commonly used, but they impose high power requirements, limiting practical realizations of active suspensions. Electromagnetic actuators are seen to hold the promise of lower power requirements, and rigorous research and development should be conducted to make them commercially usable. Current focus on control methods that are robust to suspension parameter variations also seems to produce limited performance improvements, and future control approaches should be adaptive to the changeable driving conditions.

关键词： Mechatronics Active suspensions Semi-active suspensions Multiple model adaptive control

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A computing capability test for a switched system control design using the haris-Rogers method

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Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第10期13卷 781-792页

作者： Mohd Amin AT-TASNEEM sallehuddin mohamed haris Zulkifli Mohd NOPIAH Faculty of Mechanical Engineering University Malaysia Pahang Pekan 26600 Malaysia Department of Mechanical and Materials Engineering Faculty of Engineering and the Built Environment Universiti Kebangsaan Malaysia UKM Bangi 43600 Malaysia Unit of Fundamental Engineering Studies Faculty of Engineering and the Built Environment Universiti Kebangsaan Malaysia UKM Bangi 43600 Malaysia

The problem of finding stabilizing controllers for switched systems is an area of much research interest as conventional concepts from continuous time and discrete event dynamics do not hold true for these *** solutions have been proposed,most of which are based on finding the existence of a common Lyapunov function(CLF) or a multiple Lyapunov function(MLF) where the key is to formulate the problem into a set of linear matrix inequalities(LMIs).An alternative method for finding the existence of a CLF by solving two sets of linear inequalities(LIs) has previously been *** method is seen to be less computationally taxing compared to methods based on solving *** substantiate this,the computational ability of three numerical computational solvers,LMI solver,cvx,and Yalmip,as well as the symbolic computational program Maple were tested.A specific switched system comprising four second-order subsystems was used as a test *** the obtained solutions,the validity of the controllers and the corresponding CLF was *** was found that all tested solvers were able to correctly solve the *** issue of rounding-off error in numerical computation based software is discussed in *** test revealed that the guarantee of stability became uncertain when the rounding off was at a different decimal *** use of different external solvers led to the same conclusion in terms of the stability of switched *** a result,a shift from using a conventional numerical computation based program to using computer algebra is suggested.

关键词： Linear inequalities Hybrid systems Stability Common quadratic Lyapunov function Numerical computation Symbolic computation

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A Deep Learning Approach for Crowd Counting in Highly Congested Scene

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Computers, Materials & Continua 2022年第12期73卷 5825-5844页

作者： Akbar Khan Kushsairy Abdul Kadir Jawad Ali Shah Waleed Albattah Muhammad Saeed Haidawati Nasir Megat Norulazmi Megat mohamed Noor Muhammad haris Kaka Khel Electrical Section Universiti Kuala Lumpur British Malaysian InstituteSelangor53100Malaysia Department of Electrical Engineering International Islamic UniversityIslamabad44000Pakistan Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Electrical Engineering National University of Computer and Emerging SciencesIslamabad44000Pakistan Computer Engineering Technology Section Universiti Kuala Lumpur Malaysian Institute of Information TechnologyKuala Lumpur50250Malaysia

With the rapid progress of deep convolutional neural networks,several applications of crowd counting have been proposed and explored in the *** congested scene monitoring,a variety of crowd density estimating approaches has been *** understanding of highly congested scenes for crowd counting during Muslim gatherings of Hajj and Umrah is a challenging task,as a large number of individuals stand nearby and,it is hard for detection techniques to recognize them,as the crowd can vary from low density to high *** deal with such highly congested scenes,we have proposed the Congested Scene Crowd Counting Network(CSCC-Net)using VGG-16 as a core network with its first ten layers due to its strong and robust transfer learning rate.A hole dilated convolutional neural network is used at the back end to widen the relevant field to extract a large range of information from the image without losing its original *** dilated convolution neural network is mainly chosen to expand the kernel size without changing other ***,several loss functions have been applied to strengthen the evaluation accuracy of the ***,the entire experiments have been evaluated using prominent data sets namely,ShanghaiTech parts A,B,UCF_CC_50,and UCF_*** model has achieved remarkable results i.e.,68.0 and 9.0 MAE on ShanghaiTech parts A,B,199.1 MAE on UCF_CC_50,and 99.8 on UCF_QNRF data sets respectively.

关键词： Deep learning congested scene crowd counting fully convolutional neural network dilated convolution

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