Времена глагола в английском языке объясняются без использования словосочетаний: Present simple, Past simple, Future simple, Present perfect, Past perfect, Future perfect, Conditional, Conditional perfect, Present continuous, Past continuous, Future continuous, Present perfect continuous, Past perfect continuous, Future perfect continuous, Conditional continuous, Conditional perfect continuous, Passive voice.
This work provides an insight on the implementation of RSA cryptosystem using Verilog finally resulting in an IC. The complete implementation includes three phases: key generation, encryption process and decryption process. To generate the key, we use Random Number Generator and GCD blocks. Whereas for Encryption and Decryption processes Modular Multiplication, Modular Exponentiation blocks were implemented. Finally to bring out an IC, SoC Encounter in Cadence is used.The work also emphasizes on an introduction to Cadence and Verilog. Implementation details of some basic systems in Cadence using Verilog are also highlighted.
The inference drawn from conditional sentences that if p, q is often understood to mean if not p, not q, which in turn gives rise to the biconditional reading of if and only if p, q has been widely discussed in the pragmatic literature. The phenomenon involved here is known as Conditional Perfection. On the grounds of a Gricean account, prevalent theories consider this type of inference a conversational implicature, and more precisely, a scalar implicature. It follows that Conditional Perfection and classical scalar implicatures like those triggered by the quantifier 'some' can be captured by a uniform account. Based on this assumption, the question may arise whether the phenomenon of Conditional Perfection is related to quantified sentences in general. The present paper examines this relation and establishes a comparative account in that respect.
Assignment Problem is one of the first fundamental problems in the area of combinatorial optimization. Despite its historical roots, the problem has tremendous importance to date, due to its numerous real life applications in like facility location, personnel scheduling, job scheduling, production planning, project assignment, task assignment, time-tabling, vehicle routing, storage space allocation, etc. This book comprises some real life assignment and related problems involving imprecise cost/time parameters. In order to represent those imprecise parameters, interval numbers have been used here as this representation is the best among others. The associated problems have been solved using Genetic Algorithm efficiently. A salient feature of this book is that most of the algorithms have been written in a lucid manner with suitable examples using figures. This book should interest academicians, OR/GA practitioners and executives of different industries and business organizations.
The focus area of this paper is on the assignment problem with budget constraints which is one of the application area of combinatorial optimization that operates on the domain of those optimization problems,in which the set of feasible solutions is discrete or can be reduced to discrete,and in which the goal is to find the best solution. It is particularly concerned with solving the unconstrained assignment problems with Hungarian algorithm and the constrained assignment problem by cutting plane or outer linearization algorithm for solving the Lagrangian dual problem in which, at each iteration,the function that approximates the dual function is optimized. The paper is divided in to two chapters. In the first chapter,the classical assignment problem,the problem of finding optimum (minimum or maximum) cost or profit assignment a set of workers or resources to jobs or activities to gather with its mathematical formulation,solution methods and special cases in assignment problems were considered. Under the second chapter, we have considered generalization of the classical assignment problem concerning resource(or budget) constraints, due to the variety of real life problems.
In this book, we are interested in the area of nonparametric prediction of time series. Therefore, the relationship between a current observation and past observations is considered, where the conditional density function plays an important role. Two aspects of the conditional probability density function, the mode and the quantiles are studied. Firstly, in the case of the mode, we state some sufficient conditions under which the joint kernel estimator of the conditional mode taken jointly at a finite number of distinct points is asymptotically normally distributed. Secondly, a new multivariate estimator for a multivariate conditional quantile is proposed, based on the reweighted Nadaraya-Watson estimator for the conditional cumulative distribution function. The efficiency of the proposed estimator is tested by giving two applications. The book also, involves a review which covers in sufficient details the up to date literature on kernel estimation for conditional mode and quantiles.
A wireless mesh networks (WMNs) has emerged recently, WMN consist of two types of nodes mesh routers and mesh clients.WMN is dynamically self-organized and self-configured, with the nodes in the network automatically establishing and maintaining mesh connectivity among themselves. Channel assignment is a critical issue in WMN which is the mapping between the available channels and the radios at each node such that the network performance is optimized, and hence the focus of this work along with static channel assignment, multi-radio, multi-channel. Multi-radio MAC can potentially achieve higher network capacity than single-radio MAC. We design and implement a new agent (DSBCA) distributed channel assignment spanner base, the routing protocol Optimize the network performance considering the throughput, end-to-end delay, connectivity and the interference of our channel assignment algorithm. Base on the network simulations NS2.34 on Linux Fedora and our proposed channel assignment algorithm improved the throughput, minimal-connectivity preserving channel assignment algorithm.
Книга посвящена проектированию цифровых систем с помощью высокоуровневых языков описания аппаратуры (Hardware Description Language – HDL) – Verilog и VHDL. Эти языки являются международным стандартом и используются как системами анализа (моделирование), так и системами синтеза цифровой аппаратуры. С единых позиций изложены основные концепции этих языков. Даны рекомендации по стилю кодирования, синтезабельности и верификации HDL-описаний проектируемых систем. Приведены примеры синтезабельных описаний узлов и устройств и организации функциональных тестов. В приложение вынесены справочные данные по языкам VHDL и VERILOG. Автор предполагает, что читатель знаком с основами программирования и основами проектирования цифровых устройств.
The fused multiply add (FMA) operation is very important in many scientific and engineering applications. It is a key feature of the floating-point unit (FPU), which greatly increases the floating-point performance and accuracy.Many approaches are developed on floating-point fused multiply add unit to decrease its latency.two of these approaches are implemented in the Verilog hardware description language. ModelSim10.0c is a used to compile Verilog codes and to simulate them.
The efficient management of Change Requests (CRs) is fundamental for successful software maintenance; however the assignment of CRs to developers is an expensive aspect in this regard, due to the time and expertise demanded. To overcome this, researchers have proposed automated approaches for CR assignment. Although these proposals present advances to this topic, they do not consider many factors inherent to the assignments, such as: developers’ workload, CRs severity, interpersonal relationships, and developers know-how. Actually, as we demonstrate in this work, CR assignment is a complex activity and automated approaches cannot rely on simplistic solutions. Ideally, it is necessary to consider and reason over contextual information in order to provide an effective automation. Beyond investigating all these aspects through an extensive systematic literature review, this work also proposes a context-aware architecture solution to semi-automated assignment of CRs.
This book provides comprehensive coverage of 3D vision systems, from vision models and state-of-the-art algorithms to their hardware architectures for implementation on DSPs, FPGA and ASIC chips, and GPUs. It aims to fill the gaps between computer vision algorithms and real-time digital circuit implementations, especially with Verilog HDL design. The organization of this book is vision and hardware module directed, based on Verilog vision modules, 3D vision modules, parallel vision architectures, and Verilog designs for the stereo matching system with various parallel architectures. Provides Verilog vision simulators, tailored to the design and testing of general vision chips Bridges the differences between C/C++ and HDL to encompass both software realization and chip implementation; includes numerous examples that realize vision algorithms and general vision processing in HDL Unique in providing an organized and complete overview of how a real-time 3D vision system-on-chip can be designed Focuses on the digital VLSI aspects and implementation of digital signal processing tasks on hardware platforms such as ASICs and FPGAs for 3D vision systems, which have not been comprehensively covered in one single book Provides a timely view of the pervasive use of vision systems and the challenges of fusing information from different vision modules Accompanying website includes software and HDL code packages to enhance further learning and develop advanced systems A solution set and lecture slides are provided on the book's companion website The book is aimed at graduate students and researchers in computer vision and embedded systems, as well as chip and FPGA designers. Senior undergraduate students specializing in VLSI design or computer vision will also find the book to be helpful in understanding advanced applications.
The Evil Within: The Assignment – это первое из двух дополнение к The Evil Within, главной героиней которого является Джулия Кидман, напарница детектива Себастьяна Кастелланоса. В этом дополнении игроки получат часть ответов на те вопросы, которые у них остались после финала оригинальной игры.
The Imperfectly Stirred Reactor (ISR) is a model for strongly recirculating reacting flows where the conditional means of the reactive scalars are assumed to be spatially uniform and statistically stationary. This model is based on the Conditional Moment Closure (CMC) method and involves very simplified equations which can be solved at very little computational cost. The governing parameters in these equations are the averaged probability density functions (pdf), the residence time and the chemical mechanism.
Conditional Design is the sequel to Operative Design. This book will further explore the operative in design in a more detailed, intentional, and functional manner. Spatially, the conditional is the result of the operative. Both terms work together to satisfy a formal manipulation through a set of opportunities for elements such as connections and apertures. The conditional starts with investigating not only ideas of circulation and light but also how volumes relate to the ground. These manipulations might react to an already existing condition or create a new set of conditions based on the operation and the ground plane. Operative Design presented opportunities for iteratively studying relationships. In order to further understand these volumetric studies, it is imperative to give the volumes scale along with connection between volumes, if applicable, and openings within the volumes. Again, the conditions presented are not definitive, but are meant to serve as explorations of an iterative process.
The problem of distributing goods from depots to consumers plays an important role in the management of many distribution systems, and therefore when it is programmed efficiently it may yield significant savings. In a typical distribution system, trucks provide pick-up and delivery services to customers that are geographically dispersed in a given area. In many of its applications, the main objective of distribution is to find a set of routes for such trucks, satisfying a variety of constraints, so as to minimize the total distribution cost. This work focuses on a decision model for a real world problem. The problem reveals itself as assignment of trucks to routes by Latex Foam Rubber Products Limited-Kumasi, Ghana. This study addresses the problem of finding an efficient assignment of the limited number of trucks at the company’s disposal to the routes they ply while serving its customers outside the metropolis. In this work we use a solution procedure based on Munkres Assignment Algorithm for optimal assignment of non-homogenous fleet of trucks to a given set of routes, where Latex Foam Rubber Products Limited-Kumasi, distributes its products to its customers.
When dealing with stress assignment on the word level, many exceptions to hitherto defined principles can be found in the English language. While some exceptions can be explained by word or morpheme boundaries, others do not fit so easliy into the underlying systematicity of English stress behaviour. Some are often described as simply being idiosyncratic. A new statistical analysis reveals that many of these exceptions do share some common features to a certain extent, in particular in their orthography. Can this kind of features be used to establish additional rules in order to account for exceptional cases of English stress assignment? Or is there no other means but to consider these cases as lexcially exceptional?
In cellular mobile communication, since there will be conversation in progress in case of handover calls, GOS for them should be less than that for newly originating calls. Basically, there are three channel assignment schemes, fixed, dynamic & hybrid channel assignment schemes for handling newly originating and handover calls. In this study, capacity design for cellular mobile network in area inside ring road in Kathmandu valley has been done according to the findings of data collection and analysis of mobile communication service being provided by Nepal Telecom. Capacity planning has been done with GOS equal to 2% for newly originating calls and 1% for handover calls. In addition to capacity planning, efficient channel assignment scheme in terms of blocking and throughput has been evaluated with optimal utilization of the designed capacity for getting minimum blocking for both types of calls maintaining the blocking for handover calls always less than that for newly originating calls. The simulated values of GOS & throughput for all channel assignment schemes at different penetration have been compared and hybrid channel assignment scheme has been found to be most efficient.
The purpose of this honors thesis is to find an appropriate GARCH (Generalized Autoregressive Conditional Heteroskedasticity) Model for the daily closing returns of the NASDAQ Computer Index, given a ten-year time series of closing prices. On the one hand, Standard GARCH Models are not sufficient enough, if consider the leverage effects, that is, the volatility responds to good news and bad news differently. In this case, asymmetric GARCH Models are better, and, in particular, Exponential GARCH (EGARCH) Model is the best. On the other hand, EGARCH Models with alternative conditional distributions perform better than that with the default Normal Conditional Distribution. In particular, the Skew Generalized Error Distribution is found to be a good fit that generate large P-values against the null hypotheses in various tests. In conclusion, among all of the models investigated, the EGARCH Model with the Skew Generalized Error Distribution is the best.
Modern day public transport assignment faces lots of problems. Solutions may exist but needs some form of backings. A sensitivity analysis in most cases could just be sufficient to provide this backing. The developments in this book are very important for students, academic researchers and policy makers. The book provides an extensive review on transit assignment, sensitivity analysis and OmniTRANS. It highlights important conclusions such as:- - Passenger access-egress distances significantly affects their access stop choices. - The travel distance parameter of the generalized cost function has the highest influence on transit assignment - The number of transfers to be made by passengers significantly determines their generalized cost of travel - A carefully conducted partial sensitivity analysis can provide better predictions than a Monte-Carlo sensitivity analysis. As a policy advice to public transport operators in Flanders-Belgium, the developments in this book suggest that; to improve transit assignment, it is sufficient to reduce passengers access-egress distances & the number of transfers either through the institution of more direct transit lines or missing links.
This book contains a good literature survey of various mathematical models and routing & wavelengths assignment algorithms in WDM optical networks. Some of the new algorithms for optimization of blocking probability have aslo been covered. This book is good for researchers who are working on optical networks and advancements in fiber optics communication. Mathematical models covered in this book are simple and easy to implement. A good number of routing and wavelength assignment algorithms have also been covered in this book which can be used to reduce blocking probability of the optical network. This book can be very helpful to the research scholars.