Introduction to Instrumention, Sensors and Process Control (Artech House Sensors Library)

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Due to the increasing complexity of modern electrical, mechanical, and chemical systems, today's engineers have a growing interest in instrumentation, sensors, and process control. Providing this essential knowledge, this clear, easy-to-comprehend resource covers a wide range of technologies and techniques used in process control, fully explaining important related terminology. Professionals learn how to use microprocessors for both analog and digital process control, as well as signal conditioning. Moreover, engineers find the latest details on cutting-edge microelectromechanical devices and smart sensors. The book presents numerous worked examples using both English and SI (international system) units, which allows for easy conversion between the two systems. Nearly 200 illustrations and more than 150 equations support key topics throughout the book.

Introduction to Instrumention, Sensors and Process Control (Artech House Sensors Library) Review

The 1st order hysteresis error example on page 9 has a simple math error that is carried on through to the answer. Part of the formula uses 1 minus a natural exponential function but the example only used the value of the exponential function and did not subtract it from 1. i.e. 1-e^(-1.3/3.1)= 0.3425 but e^(-1.3/3.1) = 0.657. In the example 0.66 is used, not 0.34, resulting in final answers that are off significantly.
The complete formula in the book is: Amplitude(change in time)= Initial amplitude + (Final Amplitude - Init Amp)(1-e^(-change in time/time constant of sensor))

Change in time = 1.3 seconds
Sensor time constant = 3.1
Sensor Transfer function = 29mV/kPa

What is the output after 1.3 seconds if the pressure changes from 17 to 39 kPa? What is the pressure error at this time?

Pressure after 1.3 seconds was incorrectly calculated to be 31.52kPa resulting in a pressure error of 7.48kPa. The correct answer should be 24.54kPa resulting in a pressure error of 14.46kPa.

As a student, this kind of error makes me unsure of the veracity of the rest of the book. I spent a significant amount of time reviewing the natural exponential function and the operation of my calculator before coming to this conclusion. Perhaps the author should have used one of his students as a proof reader.

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Investigative Accounting in Divorce

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A new revised and updated edition of an indispensable classic

This updated Second Edition of Investigative Accounting in Divorce provides a solid grounding in every aspect of investigative accounting services in divorce proceedings. It provides a broad overview of the process of evaluating the true financial worth and cash flow of parties in a divorce while also discussing the working relationship between the accountant and the attorney. In addition, it offers divorce accountants detailed coverage of all the most important methods and approaches to the distribution of property and the determination of financial support. It provides guidance on the investigation, uncovering, and documentation of unreported income and includes a wealth of sample worksheets, forms, and checklists appropriate in a variety of situations. Also included are tips on valuation of both client and adversarial assets and on writing valuation reports. All the information divorce accountants need in order to execute their duties is provided including guidance on trial and pretrial negotiations, dealing with clients, documents and documentation, economic and tax issues, balance sheets, expenses and fees, alimony and support, and post-divorce services. Investigative Accounting in Divorce, Second Edition is the most comprehensive and up-to-date resource available for accountants involved in divorce actions.

Investigative Accounting in Divorce Review

I recently joined a new accounting firm and one of my first cases was to do a thorough financial investigation for a wealthy client going through a difficult divorce. I purchased this book and couldn't believe how much detail and information was provided--everything I needed to refer to and more. The perfect book for reference. I'll keep it on my bookshelf for the life of my career.

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IT Security Management: IT Securiteers - Setting up an IT Security Function (Lecture Notes in Electrical Engineering)

You looking to find the "IT Security Management: IT Securiteers - Setting up an IT Security Function (Lecture Notes in Electrical Engineering)" Good news! You can purchase IT Security Management: IT Securiteers - Setting up an IT Security Function (Lecture Notes in Electrical Engineering) with secure price and compare to view update price on this product. And deals on this product is available only for limited time.

   

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IT securiteers - The human and technical dimension working for the organisation.

Current corporate governance regulations and international standards lead many organisations, big and small, to the creation of an information technology (IT) security function in their organisational chart or to the acquisition of services from the IT security industry.

More often than desired, these teams are only useful for companies� � executives to tick the corresponding box in a certification process, be it ISO, ITIL, PCI, etc. Many IT security teams do not provide business value to their company. They fail to really protect the organisation from the increasing number of threats targeting its information systems.

IT Security Management provides an insight into how to create and grow a team of passionate IT security professionals. We will call them � �securiteers ��. They will add value to the business, improving the information security stance of organisations.

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IT Security Management: IT Securiteers - Setting up an IT Security Function (Lecture Notes in Electrical Engineering) Review

I was reading this book and I think is awesome. Alberto and Diego have created some kind of new "bible" about IT Security Management: a very complete outlook to this field with complete feedback from real environments.

My favorites are related to risk management and the IT Security Roadmap. Chapters related to Social media and the (funny) "Baby steps" are very interesting too!

This book will be your new "friend" if you're in the IT Security field and is also available in Kindle format :-)

These guys rock and the book is fantastic. What are you waiting for?

Marty Mallavibarrena (@Mallavibarrena) Spanish Blogger and IT Pro
Senior Sales Consultant at T-Systems

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Keynes' General Theory of Interest: A Reconsideration (Routledge Foundations of the Market Economy)

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In Keynes' General Theory of Interest Fiona Maclachlan rehabilitates the largely discredited liquidity preference theory of interest, providing an original and rigorously reasoned restatement of the theory. Her provocative book draws on the methodological tenets of the Austrian school and is grounded firmly both in the history of economic thought and in real world economic institutions.

Keynes' General Theory of Interest: A Reconsideration (Routledge Foundations of the Market Economy) Review

Fiona MacLachlan(FM)has written an excellent summary and defense of Keynes's theory of liquidity preference contained in the General Theory(1936;GT).She clearly understands that it is the uncertainty(ambiguity) of the future course of events facing an individual investor that results in his decision to hold more(or less)liquid reserves in his portfolio (that earns little or no return) and not the risk of the future course of events.FM demonstrates that all of Keynes's critics inevitably return to a conceptualization that emphasizes risk(a known probability distribution with a particular and specific mean-variance(standard deviation))either explicitly or implicitly.FM argues convincingly that Tobin's classic exposition of"Liquidity Preference as Behavior toward Risk"is off the mark as far as being a representation of the generality of Keynes's theory of liquidity preference.It in fact is a special case of a much more general theory.Her book is very well written and deserves to be on the bookshelf of anypotential reader who has an interest in finding out what it was that Keynes was arguing in the GT.There are three areas where FM could have improved the technical exposition of Keynes's theory.She unfortunately(see pp.108-109) overlooks the clues in the Keynes-Townshend exchanges of 1937-1938 on the weight of the evidence variable,w,specified by Keynes mathematically in chapter 26 of the A Treatise on Probability(1921)as a measure of the completeness of the evidence upon which a decision maker will attempt to calculate probabilities that will be more or less reliable depending on the value of w.If w =1 and probability preferences are linear, so that there are no nonadditive probabilities(subadditive and/or superadditive),the theory of liquidity preference then simplifies to the analysis of Tobin and others.As w drops farther and farther from 1,the demand for liquidity will become larger and larger as the liquidity schedule shifts to the right,while the shift will reverse itself as w approaches 1.When w=1,the liquidity preference schedule will be a stable downward sloping function of the rate of interest alone.This refutes the claims of Kahn and Shackle who claimed that Keynes made a major error when he specified a clear functional relationship between the demand for money and the rate of interest that had no connection with thrift or productivity.This demonstrates that Kahn and Shackle had absolutely no understanding of the logical,epistemological,philosophical,mathematical or economic foundations of Keynes's theory of liquidity preference during their lifetimes.An alternative foundation for the theory of liquidity preference can also be based on the ambiguity analysis of Ellsberg and his rho variable,which measures the degree of confidence a decision maker has in his data,information,and knowledge.If rho =1,then you obtain results a la Tobin.If rho is less than 1,then you obtain all the results obtained when w<1.This means that Keynes's w and Ellsberg's rho are one to one onto and isomorphic to each other.w can be automatically substituted into Ellsberg's decision theoretic model to obtain results that are identical when you reverse course and substitute rho into Keynes's decision criteria, c,his conventional coefficient of weight and risk.As w or rho approach 0,as happened in post WWI Germany,the demand for liquidity approaches infinity.Secondly, she overlooks the fact that the uncertainty of the GT is an inverse function of w.Finally,she overlooks the fact that Keynes specifically stated ,in additional analysis on p.240 of the GT in chapter 17,a chapter which FM correctly emphasizes,that one must take both risk AND UNCERTAINTY/IGNORANCE into account by discounting marginal efficiency of capital return projections ,not only for time preference(chapter 11 of the GT)but including discounts for risk,uncertainty,and ignorance.

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Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)

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The book presents an interdisciplinary approach to knowledge representation and the treatment of semantic phenomena of natural language, which is positioned between artificial intelligence, computational linguistics, and cognitive psychology. The proposed method is based on Multilayered Extended Semantic Networks (MultiNets), which can be used for theoretical investigations into the semantics of natural language, for cognitive modeling, for describing lexical entries in a computational lexicon, and for natural language processing (NLP).

Part I deals with fundamental problems of semantic knowledge representation and semantic interpretation of natural language phenomena. Part II provides a systematic description of the representational means of MultiNet, one of the most comprehensive and thoroughly specified collections of relations and functions used in real NLP applications.

MultiNet is embedded into a system of software tools comprising a workbench for the knowledge engineer, a semantic interpreter translating natural language expressions into formal meaning structures, and a workbench for the computer lexicographer. The book has been used for courses in artificial intelligence at several universities and is one of the cornerstones for teaching computational linguistics in a virtual electronic laboratory.

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Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies) Review

This book has a wealth of solid information about knowledge representation (KR). It is focused on Multinets, an advanced type of semantic network. The author brings years of experience to this subject. The book deals thoroughly with many aspects of KR such as relationships, categories, generalization, real vs hypothetical, cardinality, and variability, just to name a few. Although the book is focused on Multinets, the concepts should be relevant to other knowledge representation schemes.

Frequent natural language statements clarify the issues under discussion. For example, here are two of the statements on page 49 that illustrate different types of information that can be communicated by "is".

"'A bachelor is an adult unmarried man.' (Relation EQU), 'The cherry is red.' (Relation PROP), . . ."

In other words, the first "is" links equivalent ideas, the second "is" indicates "red" as a property.

The book also contains numerous, well designed, helpful diagrams.

Unfortunately, the jargon is very thick, and difficult to navigate. For example, from page 20: "As already mentioned, the arcs of the semantic network have to be considered as epistemologically and cognitively justified categories which function as fundamental deep semantic relations in the framework of meaning representation." After reading this sentence several times, I think part of what it means is "the arcs of semantic networks should match actual deep semantic relations". But I'm not sure. I frequently find myself reading sentences several times, then moving on, only partly satisfied.

If you can get past the jargon, the book contains a thorough, solidly supported treatment of the knowledge representation of natural language.

Perhaps someone with more prior experience with knowledge representation would find the book more approachable.

Based on the quantity of information, the strong relevance to knowledge representation and the clarifying examples, I give this a generous 4 star rating. However, I'm worried that some readers will find the jargon so impenetrable that the book would lose most of its value to them.

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