WorldCat Identities

Rowe, Neil C.

Works: 79 works in 145 publications in 2 languages and 965 library holdings
Genres: Conference papers and proceedings 
Roles: Author, Editor
Classifications: QA76.73.P76, 005.133
Publication Timeline
Most widely held works by Neil C Rowe
Artificial intelligence through Prolog by Neil C Rowe( Book )

20 editions published between 1983 and 1999 in English and Undetermined and held by 493 WorldCat member libraries worldwide

Digital libraries 99 : the Fourth ACM Conference on Digital Libraries, August 11-14, 1999, Berkeley, CA by 1999, Berkeley, Calif.) Conference on Digital Libraries (4( Book )

7 editions published in 1999 in English and held by 81 WorldCat member libraries worldwide

Introduction to cyberdeception by Neil C Rowe( Book )

8 editions published in 2016 in English and German and held by 20 WorldCat member libraries worldwide

This book is an introduction to both offensive and defensive techniques of cyberdeception. Unlike most books on cyberdeception, this book focuses on methods rather than detection. It treats cyberdeception techniques that are current, novel, and practical, and that go well beyond traditional honeypots. It contains features friendly for classroom use: (1) minimal use of programming details and mathematics, (2) modular chapters that can be covered in many orders, (3) exercises with each chapter, and (4) an extensive reference list. Cyberattacks have grown serious enough that understanding and using deception is essential to safe operation in cyberspace. The deception techniques covered are impersonation, delays, fakes, camouflage, false excuses, and social engineering. Special attention is devoted to cyberdeception in industrial control systems and within operating systems. This material is supported by a detailed discussion of how to plan deceptions and calculate their detectability and effectiveness. Some of the chapters provide further technical details of specific deception techniques and their application. Cyberdeception can be conducted ethically and efficiently when necessary by following a few basic principles. This book is intended for advanced undergraduate students and graduate students, as well as computer professionals learning on their own. It will be especially useful for anyone who helps run important and essential computer systems such as critical-infrastructure and military systems
Rule-based statistical calculations on a database abstract by Neil C Rowe( Book )

9 editions published between 1982 and 1983 in English and Undetermined and held by 18 WorldCat member libraries worldwide

The size of data sets subjected to statistical analysis is increasing as computer technology develops. Quick estimates of statistics rather than exact values are becoming increasingly important to analysts. The authors proposes a new technique for estimating statistics on a database, a top-down alternative to the bottom-up method of sampling. This approach precomputes a set of general-purpose statistics on the database, a database abstract, and then uses a large set of inference rules to make bounded estimates of other, arbitrary statistics requested by users. The inference rules form a new example of an artificial-intelligence expert system. There are several important advantages of this approach over sampling methods, as is demonstrated in part by detailed experimental comparisons for two quite different data bases. (Author)
Three papers on rule-based estimation of statistics on databases by Neil C Rowe( Book )

6 editions published between 1982 and 1983 in English and held by 8 WorldCat member libraries worldwide

This report contains three papers on rule-based estimation of statistics on a database: an overview, followed by two more specialized papers. The first, Rule-based Statistical Calculations on a Database Abstract, is addressed to a general database audience. The second, Inheritance of Statistical Properties, is addressed to an artificial intelligence audience, the third, Diophantine Compromise of a Statistical Database, is addressed to an audience of database theorists
Modelling degrees of item interest for a general database query system by Neil C Rowe( Book )

5 editions published in 1982 in English and held by 7 WorldCat member libraries worldwide

Many databases support decision-making. Often this means choices between alternatives according to partly subjective or conflicting criteria. Database query languages are generally designed for precise, logical specification of the data of interest, and tend to be awkward in the aforementioned circumstances. Information retrieval research suggests several solutions, but there are obstacles to generalizing these ideas to most databases. To address this problem the authors propose a methodology for automatically deriving and monitoring degrees of interest among alternatives for a user of a database system. This includes a decision theory model of the value of information to the user, and inference mechanisms, based in part on ideas from artificial intelligence, that can tune the model to observed user behavior. This theory has important applications to improving efficiency and cooperativeness of the interface between a decision-maker and a database system. (Author)
Antisampling for Estimation: An Overview by Neil C Rowe( Book )

3 editions published in 1984 in English and held by 2 WorldCat member libraries worldwide

We survey a new way to get quick estimates of the values of simple statistics (like count, mean, standard deviation, maximum, median, and mode frequency) on a large data set. This approach is a comprehensive attempt (apparently the first) to estimate statistics without any sampling, by reasoning about various sets containing a population interest. Our antisampling techniques have connections to those of sampling (and have duals in many cases), but they have different advantages and disadvantages, making antisampling sometimes preferable to sampling, sometimes not. In particular, they can only be efficient when data is in a computer, and they exploit computer science ideas such as production systems and database theory. Antisampling also requires the overhead of construction of an auxiliary structure, a database abstract . Tests on sample data show similar or better performance than simple random sampling. We also discuss more complex methods of sampling and their disadvantages
Exploiting capability constraints to solve global, two dimensional path planning problems by R. F Richbourg( Book )

3 editions published in 1986 in English and held by 2 WorldCat member libraries worldwide

Mobile autonomous vehicles require the capability of planning routes over ranges that are too great to be characterized by local sensor systems. Completion of this task requires some form of map data. Much work has been done concerning planning paths through local areas, those which can be scanned by on-board sensor systems. However, planning paths based on long range map data is a very different problem. Extant solution techniques require the search of discrete, node and link representations which characterize continuous, two dimensional problem environments. The authors assume the availability of topographic data organized into regions of homogenous traversal cost. Given this, they present a solution technique for the long range planning problem which relies on a Snell's Law heuristic to limit a graph search for the optimal solution
Wireless Sensor Networks for Detection of IED Emplacement( Book )

1 edition published in 2009 in English and held by 1 WorldCat member library worldwide

We are investigating the use of wireless nonimaging-sensor networks for the difficult problem of detection of suspicious behavior related to IED emplacement. Hardware for surveillance by nonimaging-sensor networks can cheaper than that for visual surveillance, can require much less computational effort by virtue of simpler algorithms, and can avoid problems of occlusion of view that occur with imaging sensors. We report on four parts of our investigation. First, we discuss some lessons we have learned from experiments with visual detection of deliberately staged suspicious behavior, which suggest that the magnitude of the acceleration vector of a tracked person is a key clue. Second, we describe experiments we conducted with tracking of moving objects in a simulated sensor network, showing that tracking is not always possible even with excellent sensor performance due to the ill-conditioned nature of the mathematical problems involved. Third, we report on experiments we did with tracking from acoustic data of explosions during a NATO test. Fourth, we report on experiments we did with people crossing a live sensor network. We conclude that nonimaging-sensor networks can detect a variety of suspicious behavior, but implementation needs to address a number of tricky problems
An Intelligent Computer-Assisted Instruction System for Underway Replenishment by Patricio José Salgado-Zapata( Book )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

This thesis discusses the design, implementation, and testing of the UNREP system, an Intelligent Computer-Assisted Instruction (ICAI) tutoring system to simulate Underway Replenishment operations by training two students simultaneously on separate computer workstations. Each student plays the role of the Officer of the Deck (OOD) aboard each of the ships involved. Emergency situations are included to add realism to the simulation. While several different ICAI systems have been developed in the past, few have focused on the coordination aspects of applications which involve cooperation in joint activities, such as military operations. Artificial Intelligence (AI) techniques and programming tools were employed to construct this system. Education and training in the military operations. Artificial Intelligence (AI) techniques and programming tools were employed to construct this system. Education and training in the military, ICAI systems for military applications, ICAI general characteristics, knowledge representation, and time and task coordination are some of the topics discussed in this thesis. Keywords: Military applications, Combat readiness. (KR)
Aiding teachers in constructing virtual-reality tutors by Neil C Rowe( )

1 edition published in 1993 in Undetermined and held by 1 WorldCat member library worldwide
Efficient caption-based retrieval of multimedia information by Neil C Rowe( Book )

3 editions published between 1993 and 1994 in English and held by 1 WorldCat member library worldwide

We describe MARIE-1 and MARIE-2, information retrieval systems for multimedia data. They exploit captions on the data and perform natural-language processing of them and English retrieval requests. Some content analysis of the data is also Performed to obtain additional descriptive information. The key to getting this approach to work is sufficient fast processing. We achieve this by decomposing the problem into information filters and applying a new theory of optimal information filtering which we have developed
Using local optimality criteria for efficient information retrieval with redundant information filters by Neil C Rowe( Book )

3 editions published in 1994 in English and held by 1 WorldCat member library worldwide

We consider information retrieval when the data, for instance multimedia, is computationally expensive to fetch. Our approach uses information filters to considerably narrow the universe of possibilities before retrieval. Then decisions must be made about the necessity, order, and concurrent processing of proposed filters (an execution plan). We develop simple polynomial-time local criteria for optimal execution plans, and show that most forms of concurrency are suboptimal with information filters. Although the general problem of finding an optimal execution plan is likely exponential in the numbers of filters, we show experimentally that our local optimality criteria, used in a polynomial-time algorithm, nearly always find the global optimum with 15 filters or less, sufficient number of filters for most applications. Our methods do not require special hardware and avoid the high processor idleness that is characteristic of massive-parallelism solutions to this problem. We apply our ideas to an important application, information retrieval of captioned data using natural-language understanding, a problem for which the natural-language processing can be the bottleneck if not implemented well. Filters, Optimization, Queries, Conjunction, Boolean algebra, Natural lan guage
Proceedings of the fourth ACM conference on Digital libraries by Digital Libraries'99( Book )

2 editions published in 1999 in English and held by 1 WorldCat member library worldwide

Instructions for use of the Metutor means-ends tutoring system by Neil C Rowe( )

1 edition published in 1993 in Undetermined and held by 1 WorldCat member library worldwide
An expert system and tutor for maritime navigation rules by Sharif Calfee( Book )

2 editions published in 2002 in English and held by 1 WorldCat member library worldwide

"The Navigation Rules Expert System (NRES) is a CLIPS-based implementation of the International and Inland Maritime Navigation Rules (COMDTINST M166722.2C) to assist mariners. NRES functionality is divided into two components, the Mariner-Assistance Module and the Student-Tutor Module. The Mariner-Assistance Module (MAM) is designed for use in real-time operations to assist mariners in correctly determining both the maritime situation and the necessary actions(s) to be taken in accordance with the International and Inland Maritime Navigation Rules. In practice, NRES could double-check navigation decisions and issue warnings when the possibility of accidents arises; while some human judgment will always be necessary in this task, it could well be useful on the bridge to have a different and dispassionate point of view. The Student-Tutor Module (STM) is designed to train students in the understanding and applications of the International and Inland Maritime Navigation Rules in order to strengthen maritime navigation situational decision-making. The STM utilized the NRES CLIPS rules database as the source from which the tutor questions are drawn and employs audio and visual cueing information derived from the navigation rules to enhance the student learning process."
Three Algorithms for Planar-Patch Terrain Modeling by Seung Hee Yee( Book )

1 edition published in 1988 in English and held by 1 WorldCat member library worldwide

Providing a simplified model of real terrain has applications to route planning for robotic vehicles and military maneuvers. This thesis explores planar-patch surface modeling to represent terrain in a simple and effective way. In planar-patch surface modeling the terrain is subdivided into a set of planar subregions. The homogeneity of the gradient within a planar subregion simplifies calculating the cost of traversing the region, thus simplifying route planning. The author has explored three main strategies to model the surface: joint top-down and bottom-up, strict bottom-up, and presmoothing bottom-up approaches. Results of the algorithms are shown graphically by using the APL and Grafstat packages, verifying their correctness and accuracy. (KR)
Summary of Research 1998, Department of Computer Science( )

1 edition published in 1999 in English and held by 0 WorldCat member libraries worldwide

This report contains summaries of research projects in the Department of Computer Science. A list of recent publications is also included which consists of conference presentations and publications, books, contributions to books, published journal papers, technical reports, and thesis abstracts
Robust Recognition of Ship Types from an Infrared Silhouette( )

1 edition published in 2004 in English and held by 0 WorldCat member libraries worldwide

Accurate identification of unknown contacts crucial in military intelligence. Automated systems that quickly and accurately determine the identity of a contact could be a benefit in backing up electronic-signals identification methods. This work reports two experimental systems for ship classification from infrared FLIR images. In an edge-histogram approach, we used the histogram of the binned distribution of observed straight edge segments of the ship image. Some simple tests had a classification success rate of 80% on silhouettes. In a more comprehensive neural network approach, we calculated scale-invariant moments of a silhouette and used them as input to a neural network. We trained the network on several thousand perspectives of a wire-frame model of the outline of each of five ship classes. We obtained 70% accuracy with detailed tested on real infrared images but performance was more robust than with the edge-histogram approach
Understanding of Navy Technical Language via Statistical Parsing( )

1 edition published in 2004 in English and held by 0 WorldCat member libraries worldwide

A key problem in indexing technical information is the interpretation of technical words and word senses, expressions not used in everyday language. This is important for captions on technical images, whose often pithy descriptions can be valuable to decipher. We describe the natural-language processing for MARIE-2, a natural-language information retrieval system for multimedia captions. Our approach is to provide general tools for lexicon enhancement with the specialized words and word senses, and to learn word usage information (both on word senses and word-sense pairs) from a training corpus with a statistical parser. Innovations of our approach are in statistical inheritance of binary co-occurrence probabilities and in weighting of sentence subsequences. MARIE-2 was trained and tested on 616 captions (with 1009 distinct sentences) from the photograph library of a Navy laboratory. The captions had extensive nominal compounds, code phrases, abbreviations, and acronyms, but few verbs, abstract nouns, conjunctions, and pronouns. Experimental results fit a processing time in seconds of 876.2 0858.0 n and a number of tries before finding the best interpretation of 668 .1809.1 n where n is the number of words in the sentence. Use of statistics from previous parses definitely helped in reparsing the same sentences, helped accuracy in parsing of new sentences, and did not hurt time to parse new sentences. Word-sense statistics helped dramatically; statistics on word-sense pairs generally helped but not always
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Alternative Names
Rowe, Neil

Rowe, Neil C.

Rowe, Niel Charles.

English (73)

German (1)