The Protocol Machine Expert System (PMES) for implementing communication protocols is described. The objective is to develop and implement a general model for communication protocols based on the principles of finite-...
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The Protocol Machine Expert System (PMES) for implementing communication protocols is described. The objective is to develop and implement a general model for communication protocols based on the principles of finite-state machines. The authors have designed an inference method and knowledge representation method, based on semantic networks, for implementing this model. A semantic net consists of points called nodes connected by links called arcs that describe the relations between the nodes. The authors have added interactive capability and automatic error detection to check for invalid external events and other types of errors in their model. They have illustrated the use of PMES by applying it to the TCP (transmission control protocol) of the US department of Defense Model for Communication.< >
Design considerations are made for the structural optimization of single-mode fibers used in high-bit-rate and long-haul transmission systems in the long-wavelength region. As the basic fiber parameters, a combination...
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This book presents an extremely readable and comprehensive overview of the general engineering considerations necessary for the design of telecommunciation networks. The author's thirtyfive years of experience in ...
This book presents an extremely readable and comprehensive overview of the general engineering considerations necessary for the design of telecommunciation networks. The author's thirtyfive years of experience in the telecommunication industry clearly shows in the easy, but informative and authoritative, way in which he addresses the various complex issues involved in the design of practical networks; this is especially noticable in the coverage on the interaction of the various disciplines involved, such as transmission and switching, in the planning, engineering and expansion of telecommunication systems. The text is written in a very easy-to-read and free-flowing style, avoiding mathematics and complex details; the result is nearly 500 pages of a vast amount of important material, culled from a large body of engineering texts and papers, served to us in a palatable and easily-digestible form.
作者：
FROSCH, RAPresidentAmerican Association of Engineering Societies
Inc Dr. Robert A. Frosch born in New York City on 22 May 1928
attended Columbia University from which he received his B.A. degree in 1947 his M.A. degree in 1949 and his Ph.D. degree in 1952 all in the field of Theoretical Physics. While completing his studies for his doctorate he joined Columbia's Hudson Laboratories in 1951 and worked on naval research projects as a Research Scientist until 1958 when he became the Director Hudson Laboratories a post he held until 1963. From 1965 to 1966
he was Deputy Director Advanced Research Projects Agency (APRA) Department of Defense (DOD) having first joined ARPA in 1963 as the Director for Nuclear Test Detection the position he held until 1965. Since 1969 he also has served as the DOD member of the Committee for Policy Review National Council of Marine Resources and Engineering Development and in 1967 and 1970 as the Chairman of the U.S. Delegation to the Intergovernmental Oceanographic Commission meetings at UNESCO in Paris. In addition he was the Assistant Secretary of the Navy for Research & Development from 1966 to 1973 Assistant Executive Director of the United Nations Environment Program
with the rank of Assistant Secretary General of the United Nations from 1973 to 1975 and Assistant Director for Applied Oceanography at the Woods Hole Oceanographic Institution from 1975 until mid-1977.In June 1977
he became the Administrator of the National Aeronautics and Space Agency (NASA) the position he held prior to joining the American Association of Engineering Societies (AAES) Incorporated. On 20 January 1981 he was elected to his present post as President AAES. Additionally he was the Sea Grant Lecturer for the Massachusetts Institute of Technology in 1974 and currently is a National Lecturer for Sigma Xi. During his distinguished career
Dr. Frosch has been the recipient of numerous awards among which are the Arthur S. Flemming Award in 1966 the Navy Distinguished Public Service Award in 1
In much of human reasoning, the form of reasoning is approximate rather than exact as in ‘A red apple is ripe and this apple is more or less red. Then this apple is more or less ripe.’ L.A. Zadeh and E.H. Mamdani su...
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In much of human reasoning, the form of reasoning is approximate rather than exact as in ‘A red apple is ripe and this apple is more or less red. Then this apple is more or less ripe.’ L.A. Zadeh and E.H. Mamdani suggested methods for such a fuzzy reasoning as an application of fuzzy set theory. The method involves an inference rule and a conditional proposition which contains fuzzy concepts. In this paper we point out that the consequence inferred by their methods does not always fit our intuitions and we suggest the improved methods which fit our intuitions under several criteria.
L.A. Zadeh and E.H. Mamdani have proposed methods for a fuzzy reasoning in which the antecedent involves a fuzzy conditional proposition "If x is A then y is B", with A and B being fuzzy concepts. This paper...
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L.A. Zadeh and E.H. Mamdani have proposed methods for a fuzzy reasoning in which the antecedent involves a fuzzy conditional proposition "If x is A then y is B", with A and B being fuzzy concepts. This paper points out that the consequences inferred by their methods do not always fit our intuitions, and suggests several new methods which fit our intuitions under several criteria such as modus ponens and modus tollens.
This communication contains a proof of the fact that the coefficient of variation of the contents of a compartment of a stochastic compartmental model with deterministic rate parameters is small for large populations....
This communication contains a proof of the fact that the coefficient of variation of the contents of a compartment of a stochastic compartmental model with deterministic rate parameters is small for large populations. We can therefore conclude that the use of stochastic compartmental models is not of great consequence in the case of systems involving large populations when only the randomness of the transfer mechanism is considered.
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