Applications of MATLAB in Science and Engineering

The book consists of 24 chapters illustrating a wide range of areas where MATLAB tools are applied. These areas include mathematics, physics, chemistry and chemical engineering, mechanical engineering, biological (molecular biology) and medical sciences, communication and control systems, digital signal, image and video processing, system modeling and simulation. Many interesting problems have been included throughout the book, and its contents will be beneficial for students and professionals in wide areas of interest

Q(sqrt(-3))-Integral Points on a Mordell Curve

We use an extension of quadratic Chabauty to number fields,recently developed by the author with Balakrishnan, Besser and M ̈uller,combined with a sieving technique, to determine the integral points overQ(√−3) on the Mordell curve y2 = x3 − 4

A Solder-Defined Computer Architecture for Backdoor and Malware Resistance

This research is about securing control of those devices we most depend on for integrity and confidentiality. An emerging concern is that complex integrated circuits may be subject to exploitable defects or backdoors, and measures for inspection and audit of these chips are neither supported nor scalable. One approach for providing a “supply chain firewall” may be to forgo such components, and instead to build central processing units (CPUs) and other complex logic from simple, generic parts. This work investigates the capability and speed ceiling when open-source hardware methodologies are fused with maker-scale assembly tools and visible-scale final inspection. The author has designed, and demonstrated in simulation, a 36-bit CPU and protected memory subsystem that use only synchronous static random access memory (SRAM) and trivial glue logic integrated circuits as components. The design presently lacks preemptive multitasking, ability to load firmware into the SRAMs used as logic elements, and input/output. Strategies are presented for adding these missing subsystems, again using only SRAM and trivial glue logic. A load-store architecture is employed with four clock cycles per instruction. Simulations indicate that a clock speed of at least 64 MHz is probable, corresponding to 16 million instructions per second (16 MIPS), despite the architecture containing no microprocessors, field programmable gate arrays, programmable logic devices, application specific integrated circuits, or other purchased complex logic. The lower speed, larger size, higher power consumption, and higher cost of an “SRAM minicomputer,” compared to traditional microcontrollers, may be offset by the fully open architecture—hardware and firmware—along with more rigorous user control, reliability, transparency, and auditability of the system. SRAM logic is also particularly well suited for building arithmetic logic units, and can implement complex operations such as population count, a hash function for associative arrays, or a pseudorandom number generator with good statistical properties in as few as eight clock cycles per 36-bit word processed. 36-bit unsigned multiplication can be implemented in software in 47 instructions or fewer (188 clock cycles). A general theory is developed for fast SRAM parallel multipliers should they be needed

Proceedings of the Seventeenth Annual Conference on Manual Control

Manual control is considered, with concentration on perceptive/cognitive man-machine interaction and interface

Products and Services

Today’s global economy offers more opportunities, but is also more complex and competitive than ever before. This fact leads to a wide range of research activity in different fields of interest, especially in the so-called high-tech sectors. This book is a result of widespread research and development activity from many researchers worldwide, covering the aspects of development activities in general, as well as various aspects of the practical application of knowledge

Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021

As almost all human activities have been moved online due to the pandemic, novel robust and efficient approaches and further research have been in higher demand in the field of computer science and telecommunication. Therefore, this (reprint) book contains 13 high-quality papers presenting advancements in theoretical and practical aspects of computer recognition, pattern recognition, image processing and machine learning (shallow and deep), including, in particular, novel implementations of these techniques in the areas of modern telecommunications and cybersecurity

Technology 2003: The Fourth National Technology Transfer Conference and Exposition, volume 2

Proceedings from symposia of the Technology 2003 Conference and Exposition, Dec. 7-9, 1993, Anaheim, CA, are presented. Volume 2 features papers on artificial intelligence, CAD&E, computer hardware, computer software, information management, photonics, robotics, test and measurement, video and imaging, and virtual reality/simulation

Spatial verification and validation of datasets in fluid dynamics

There is a present need for post-processing tools capable of synthesising and interpreting the numerous spatial data that are typically generated in modern investigations of fluid mechanics. Recent advances have provided both the analyst and the experimentalist with powerful tools for resolving complete flow-field information, using Computational Fluid Dynamics to simulate the flow, or noninvasive flow metrology such as Particle Image Velocimetry and Laser Doppler Anemometry. A great deal of nodal data is generated by these techniques, which quantity may be expected to increase into the future. This data comprises uncertainties in both numerical modelling and experimental measurement, which traditionally have been quantified using classical approaches in Verification and Validation. However, these techniques were designed with summary scalar values in mind and generally overlook or underestimate the importance of suitable spatial and topological description of the flow-field. The author uses established techniques in geostatistics to address the fluids data assimilation problem, and cross-correlate spatial field variables collected over an experimental domain with field variables calculated by a numerical model that simulates this domain. Spatial statistics are generated on the inter-related nodal data, and are used to inform a stationary covariance model describing the datasets as a particular realisation of a random process. This model is used to provide statistics quantifying the correlation of complete experimental and numerical flow-fields, and make better estimations of local field values taking into account the sum data that is available to the practitioner. Special consideration is given to the application of the random function model to a calculated flow-field, in which errors are not aleatoric but epistemic, and comprise unknown chaotic processes and higher-order error terms. The kriging estimator was useful for the characterisation of the spatial datasets considered, and may be expected to extend quite generally to other fluids problems. In particular, meaningful blending of experimental and numerical data was achieved by cokriging, and is demonstrated in situations where experimental data is missing or sparse but may be inferred by the secondary numerical data with which it is well correlated. A statistic describing whole-field correlation on the basis of functional covariance was also proposed for fluids problems, with reference to which it is demonstrated that traditional pointwise measures of disparity are inadequate for spatial problems