Shasha Zhang's Books

Key Frame Extraction of Surveillance Video Based on Motion Analysis

By: Yunzuo Zhang,Shasha Zhang

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Key Frame Extraction of Surveillance Video Based on Motion Analysis

By: Yunzuo Zhang,Shasha Zhang

Surveillance video has a wide range of applications in many fields, such as national economic construction, public security information construction, and widely adopted countries worldwide. The infrastructure of the video surveillance system has begun to take shape and is still rapid expansion. As thousands of surveillance cameras monitor and record round the clock, the amount of video data has been explosive growth. Finding the required information in a large number of surveillance videos is undoubtedly a needle in a haystack. Motion is a significant feature of video, and much meaningful visual information is contained in the movement. In many application scenarios, like road traffic monitoring, security for major events, guidance for military aircraft, and autonomous vehicle, people tend to pay more attention to the moving object. The analysis shows that the key frame extraction of surveillance video based on motion analysis has important practical significance. Hence, this book puts forward several key frame extraction methods of surveillance video around capturing the target motion state.

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Page Count

285

Publisher

Scientific Research Publishing, Inc. USA

Published Date

ISBN 10

1649970447

ISBN 13

9781649970442

Twin Birth: Young Master’s Sweet Love

Volume 3

By: Mu ShaSha

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Twin Birth: Young Master’s Sweet Love

Volume 3

By: Mu ShaSha

Guan Wanren didn't expect her to sleep so casually with the CEO of the company, and even gave birth to a pair of phoenixes ... "Women, who have secretly given birth to my child, are my people. Let's get married!" The man said with a devout expression as he knelt on one knee with a pair of treasures in his hands and billions of betrothal gifts in his hands.

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Page Count

561

Publisher

Funstory

Published Date

ISBN 10

1647570794

ISBN 13

9781647570798

Storing Clocked Programs Inside DNA

A Simplifying Framework for Nanocomputing

By: Chang Jessica,Shasha Dennis

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Storing Clocked Programs Inside DNA

A Simplifying Framework for Nanocomputing

By: Chang Jessica,Shasha Dennis

In the history of modern computation, large mechanical calculators preceded computers. A person would sit there punching keys according to a procedure and a number would eventually appear. Once calculators became fast enough, it became obvious that the critical path was the punching rather than the calculation itself. That is what made the stored program concept vital to further progress. Once the instructions were stored in the machine, the entire computation could run at the speed of the machine. This book shows how to do the same thing for DNA computing. Rather than asking a robot or a person to pour in specific strands at different times in order to cause a DNA computation to occur (by analogy to a person punching numbers and operations into a mechanical calculator), the DNA instructions are stored within the solution and guide the entire computation. We show how to store straight line programs, conditionals, loops, and a rudimentary form of subroutines. To achieve this goal, the book proposes a complete language for describing the intrinsic topology of DNA complexes and nanomachines, along with the dynamics of such a system. We then describe dynamic behavior using a set of basic transitions, which operate on a small neighborhood within a complex in a well-defined way. These transitions can be formalized as purely syntactical functions of the string representations. Building on that foundation, the book proposes a novel machine motif which constitutes an instruction stack, allowing for the clocked release of an arbitrary sequence of DNA instruction or data strands. The clock mechanism is built of special strands of DNA called ""tick"" and ""tock."" Each time a ""tick"" and ""tock"" enter a DNA solution, a strand is released from an instruction stack (by analogy to the way in which as a clock cycle in an electronic computer causes a new instruction to enter a processing unit). As long as there remain strands on the stack, the next cycle will release a new instruction strand. Regardless of the actual strand or component to be released at any particular clock step, the ""tick"" and ""tock"" fuel strands remain the same, thus shifting the burden of work away from the end user of a machine and easing operation. Pre-loaded stacks enable the concept of a stored program to be realized as a physical DNA mechanism. A conceptual example is given of such a stack operating a walker device. The stack allows for a user to operate such a clocked walker by means of simple repetition of adding two fuel types, in contrast to the previous mechanism of adding a unique fuel -- at least 12 different types of strands -- for each step of the mechanism. We demonstrate by a series of experiments conducted in Ned Seeman's lab that it is possible to ""initialize"" a clocked stored program DNA machine. We end the book with a discussion of the design features of a programming language for clocked DNA programming. There is a lot left to do. Table of Contents: Introduction / Notation / A Topological Description of DNA Computing / Machines and Motifs / Experiment: Storing Clocked Programs in DNA / A Clocked DNA Programming Language

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Publisher

Springer Nature

Published Date

ISBN 10

3031017978

ISBN 13

9783031017971

Automated Verification of Concurrent Search Structures

By: Krishna Siddharth,Patel Nisarg,Shasha Dennis,Wies Thomas

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Automated Verification of Concurrent Search Structures

By: Krishna Siddharth,Patel Nisarg,Shasha Dennis,Wies Thomas

Search structures support the fundamental data storage primitives on key-value pairs: insert a pair, delete by key, search by key, and update the value associated with a key. Concurrent search structures are parallel algorithms to speed access to search structures on multicore and distributed servers. These sophisticated algorithms perform fine-grained synchronization between threads, making them notoriously difficult to design correctly. Indeed, bugs have been found both in actual implementations and in the designs proposed by experts in peer-reviewed publications. The rapid development and deployment of these concurrent algorithms has resulted in a rift between the algorithms that can be verified by the state-of-the-art techniques and those being developed and used today. The goal of this book is to show how to bridge this gap in order to bring the certified safety of formal verification to high-performance concurrent search structures. Similar techniques and frameworks can be applied to concurrent graph and network algorithms beyond search structures.

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Page Count

182

Publisher

Springer Nature

Published Date

ISBN 10

3031018060

ISBN 13

9783031018060

Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines

By: Dennis E. Shasha,Cathy Lazere

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Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines

By: Dennis E. Shasha,Cathy Lazere

Reports from the cutting edge, where physics and biology are changing the fundamental assumptions of computing. Computers built from DNA, bacteria, or foam. Robots that fix themselves on Mars. Bridges that report when they are aging. This is the bizarre and fascinating world of Natural Computing. Computer scientist and Scientific American’s “Puzzling Adventures” columnist Dennis Shasha here teams up with journalist Cathy Lazere to explore the outer reaches of computing. Drawing on interviews with fifteen leading scientists, the authors present an unexpected vision: the future of computing is a synthesis with nature. That vision will change not only computer science but also fields as disparate as finance, engineering, and medicine. Space engineers are at work designing machines that adapt to extreme weather and radiation. “Wetware” processing built on DNA or bacterial cells races closer to reality. One scientist’s “extended analog computer” measures answers instead of calculating them using ones and zeros. In lively, readable prose, Shasha and Lazere take readers on a tour of the future of smart machines.

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Page Count

296

Publisher

W. W. Norton & Company

Published Date

ISBN 10

0393077195

ISBN 13

9780393077193

Statistics is Easy

Case Studies on Real Scientific Datasets

By: Manpreet Singh Katari,Sudarshini Tyagi,Dennis Shasha

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Statistics is Easy

Case Studies on Real Scientific Datasets

By: Manpreet Singh Katari,Sudarshini Tyagi,Dennis Shasha

Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement. Drawing conclusions in the face of such noise entails a statistical analysis. Parametric statistical methods assume that the data is a sample from a population that can be characterized by a specific distribution (e.g., a normal distribution). When the assumption is true, parametric approaches can lead to high confidence predictions. However, in many cases particular distribution assumptions do not hold. In that case, assuming a distribution may yield false conclusions. The companion book Statistics is Easy! gave a (nearly) equation-free introduction to nonparametric (i.e., no distribution assumption) statistical methods. The present book applies data preparation, machine learning, and nonparametric statistics to three quite different life science datasets. We provide the code as applied to each dataset in both R and Python 3. We also include exercises for self-study or classroom use.

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Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1636390900

ISBN 13

9781636390901

Book's by Shasha Zhang

Key Frame Extraction of Surveillance Video Based on Motion Analysis

Key Frame Extraction of Surveillance Video Based on Motion Analysis

Twin Birth: Young Master’s Sweet Love

Twin Birth: Young Master’s Sweet Love

Storing Clocked Programs Inside DNA

Storing Clocked Programs Inside DNA

Automated Verification of Concurrent Search Structures

Automated Verification of Concurrent Search Structures

Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines

Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines

Statistics is Easy

Statistics is Easy

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