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IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)

作者： Talukder, Milon Rahman, Md. Moshiur Halder, Sajal Uddin, Md. Jamal Bangabandhu Sheikh Mujibur Rahman Sci & Technol U Dept Comp Sci & Engn Gopalganj Bangladesh Jagannath Univ Dept Comp Sci & Engn Dhaka Bangladesh

ISBN: (纸本)9781509060047

Absence of the user based recommendation system is a prevalent problem in a social network. In this paper, our work tends to model distance based group and probability based group in terms deciding recommendation dynamics. Here, we want to identify the best user who appears to be the innocent audience. In this regard, the effect of network density and preference homogeneity according to the user have been calculated. We have also used the probability function to evaluate the group of user that could be recommended.

关键词： Recommendation system Social network probability function Distance-based group

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Aspects of the Clausius-Shannon Identity: Emphasis on the components of transitive information in linear, branched and composite physical systems

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Bulletin of Mathematical Biology 1975年第3期37卷 223-254页

作者： Ryan, J.Philip Department of Veterinary Physiology and Biochemistry Veterinary College of Ireland University College Dublin Dublin 4 Ireland

In this paper I consider how information is required to specify various systems. It is shown that the transitive information of any physical system, is distributed among three distinct components. One of these, the selective component, is required to specify the elemental parts of the system. Another, the connective component, is required to specify the macrostructure of the system;that is the way the parts are put together. And a third, the conformative component, is required to specify the intrinsic complexion or microstructure of the system. An interesting method for analyzing branched systems which takes account of connective ambiguity is described in some detail. The relationship between information and entropy, known as the Clausius-Shannon Identity, is then discussed with reference to selected thermodynamic models: and that aspect of information which is often overlooked, namely the distinction, between transitive and intransitive information is highlighted. The applications (or perhaps more correctly, the limitations of applying this treatment) to problems of biological interest are also indicated. © 1975 Society for Mathematical Biology.

关键词： Information Content probability function Attachment Point probability Generate function Jigsaw Puzzle

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Cluster and probability Competition Based MAC Scheme in Power Line Communications 7

Cluster and Probability Competition Based MAC Scheme in Powe...

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7th IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC)

作者： Huo, Chao Wang, Licheng Zhang, Lei Beijing SmartChip Microelect Co Ltd Beijing Peoples R China

ISBN: (纸本)9781509030255

Efficiency of MAC (media access control) is one of important issues of power line communication (PLC). There exists efficiency problem in current CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance) mechanism of large-scale PLC network. Aimed to solve this problem, a Cluster and probability Competition Based MAC (CP-MAC) mechanism is presented to improve the MAC efficiency, in which the network is divided into clusters and competition is conducted among clusters using the probability-function. Finally the simulation results show that the CP-MAC is able to improve the LPLC network performance in term of packet loss rate, throughout and delay.

关键词： Low power line communication MAC Cluster probability function

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A further demystification of the U-Shaped probability distribution

A further demystification of the U-Shaped probability distri...

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IEEE International Symposium on Electromagnetic Compatibility

作者： Carpenter, D OneIT Ipswich IP5 3RE Suffolk England

ISBN: (纸本)0780393805

Of all the probability distributions considered during the calculation of Measurement Uncertainty, the U-Shaped distribution is generally least familiar to the typical EMC Engineer. A previous paper [3] attempted to demystify the distribution by demonstrating that it occurs naturally when considering the Voltage Standing Wave (VSW) amplitude generated along the length of a semi-infinite cable by impedance mismatch at its termination. This paper seeks to continue the demystification by presenting additional background unlikely to he familiar to the typical EMC Engineer. Specifically, the origin of the 1/root 2 Normalisation Factor, used to determine the standard uncertainty contribution due to mismatch, is presented, as is the relationship between the U-Shaped Distribution and the Beta and Gamma Distributions.

关键词： measurement uncertainty mismatch calibration U-Shape beta function beta distribution gamma function gamma distribution probability function cumulative probability function

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A statistical analysis for micro-simulation of UDC operativity

A statistical analysis for micro-simulation of UDC operativi...

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International Conference on Green Buildings and Sustainable Cities (GBSC)

作者： Gattuso, Domenico Cassone, Gian Carla Mediterranea Univ I-89100 Reggio Di Calabria Italy

An Urban Distribution Center (UDC) is a useful City Logistics policy instrument. A UDC is a logistic site dedicated to decompose and consolidate freight directed to the city, by planning the routes and service time, restricting the traffic of trucks and increasing the load factor of feeder vehicles. A UDC can produce interesting impacts on the dynamics of urban freight distribution, but its success depends on many factors: an appropriate location;a well-balanced presence of spaces and equipment;an efficient and effective organization of internal services;a connection with the surrounding area and with the related transport services;a management structure that meets different and complementary requirements;a capacity to support itself. The paper proposes an analysis of the functional organization of a UDC through a "what if" micro-simulation approach aimed at the UDC efficiency control. After a review of the state of the art, a procedure to implement a discrete-event micro-simulation model is described. probability functions concerning the times of UDC activities are proposed. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of APAAS

关键词： UDC simulation model efficiency probability function

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Distribution of the number of counts on a neutron detector placed in a reactor

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Soviet Atomic Energy 1964年第1期15卷 664-670页

作者： Zolotukhin, V.G. Mogil'ner, A.I.

A discussion is given in the stochastic process of neutron multiplication and detection in a nuclear reactor. The use of physically justifiable assumptions makes it possible to simplify the mathematically complicated problem and find the productive probability function for the number of counts in a definite interval of time. The distribution found has been confirmed experimentally. Some applications of the theory are indicated for determining the reactor kinetic parameters. © 1964 Consultans Bureau Enterprises, Inc.

关键词： Stochastic Process Kinetic Parameter probability function Neutron Detector Neutron Multiplication

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A model of the plant-to-plant movement of aphids I. Description of the model

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Researches on Population Ecology 1967年第1期9卷 53-61页

作者： Shiyomi, Masae Division of Statistical Research National Institute of Agricultural Sciences Tokyo Japan

The plant-to-plant movement of insects in one of the factors determining the distribution of individuals in insect populations. In this report the movement of barley aphids was analyzed by a statistical model. The model is represented as the convolution of three probability functions: 1) The probability that s individuals are found on a plant at time t₀:Q(s);2) The probability that i individuals leave the plant and remain on the ground from time t₀ to t₁:_s C_ipⁱq^s-i and p+q=1, where p and q are the proportions of individuals which do not leave a plant and which leave it once or more, respectively;3) The probability that j individuals climb a plant between time t₀ to t₁ and stay there at time t₁:e^-λλ^j/λ^!, where λ is the mean of the individuals. The probability that l individuals are located on a plant at time t₁ is represented by the following equation {Mathematical expression} It was shown by simple experiments that the experimental populations were well fitted to the model. © 1967 The Society of Population Ecology.

关键词： POISSON Distribution probability function Negative Binomial Distribution Moment Method Insect Population

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Temporal dependence of technical-glass strength in air

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Strength of Materials 1970年第4期2卷 375-378页

作者： Soluyanov, V.G. Vengzhen, V.V.

1. A statistical analysis technique is presented for reducing time-to-rupture data of brittle, nonmetallic (vitreous) materials which permits attainment of a new relationship for rupture probability as a fuction of stress and time under load. 2. An equation is obtained for computing rupture strength as a function of time under load and rupture probability. 3. It is shown that a relationship of the Holland and Turner form appears in the endurance equation and that the coefficient A is a probability function. 4. Existence of a limiting, non-rupture stress, σ₀ is shown mathematically and experimentally. This stress is referred to as the safe long-term strength limit (on the basis of several thousand hours). © 1971 Consultants Bureau, a division of Plenum Publishing Corporation.

关键词： Brittle probability function Rupture Strength Strength Limit Statistical Analysis Technique

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Collective Reasoning under Uncertainty andInconsistency

Collective Reasoning under Uncertainty andInconsistency

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作者： Adamcik, Martin University of Manchester

学位级别：doctor

In this thesis we investigate some globaldesiderata for probabilistic knowledge merging given severalpossibly jointly inconsistent, but individually consistentknowledge bases. We show that the most naive methods of merging,which combine applications of a single expert inference processwith the application of a pooling operator, fail to satisfy certainbasic consistency *** therefore adopt a differentapproach. Following recent developments in machine learning whereBregman divergences appear to be powerful, we define severalprobabilistic merging operators which minimise the joint divergencebetween merged knowledge and given knowledge bases. In particularwe prove that in many cases the result of applying such operatorscoincides with the sets of fixed points of averaging projectiveprocedures - procedures which combine knowledge updating withpooling operators of decision theory. We develop relevant resultsconcerning the geometry of Bregman divergences and prove newtheorems in this field. We show that this geometry connects nicelywith some desirable principles which have arisen in theepistemology of merging. In particular, we prove that the mergingoperators which we define by means of convex Bregman divergencessatisfy analogues of the principles of merging due to Konieczny andPino-Perez. Additionally, we investigate how such merging operatorsbehave with respect to principles concerning irrelevantinformation, independence and relativisation which have previouslybeen intensively studied in case of single-expert ***, we argue that two particular probabilisticmerging operators which are based on Kullback-Leibler divergence, aspecial type of Bregman divergence, have overall the most appealingproperties amongst merging operators hitherto considered. Byinvestigating some iterative procedures we propose algorithms topractically compute them

关键词： probabilistic reasoning probability function probabilistic merging Bregman divergence Kullback-Leibler divergence principles for merging

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The decision-making of agriculture & solar complementary roof power generation project in rural area 8th

The decision-making of agriculture & solar complementary roo...

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8th International Conference on Applied Energy (ICAE)

作者： Wu, Yunna Wang, Zhen North China Elect Power Univ Beijing 102206 Peoples R China Ningxia Univ Ningxia 750021 Peoples R China

Energy consumption of agricultural production is increasing and rural urbanization has become a serious issue waiting for people to solve. Agriculture & Solar complementary roof power generation projects can make the sustainable development of agricultural production and solve the negative effect of the rural urbanization. But in the decision-making of the agriculture & solar complementary roof power generation, there are some problems: first, it is lack of the criteria system and the effective decision model to help the decision makers. Second, the weight calculation is usually more complicated, and the calculation of the entropy weight cannot fully reflect the information important degree. Third, interval number group decision making method has a great many uncertainties. So in order to solve the above problems, the following work has been done in this study: the criteria system of the Agriculture & Solar complementary roof power generation project is analyzed and established;the modified interval entropy method determines the weight of criteria and sub-criteria for solving the defects of the weight calculation. Next, the methods of describing the interval numbers with probability function and the modified dominance is proposed to to improve the accuracy of decision-making. Finally, a case study is given and by sensitivity analysis verified the reliability and operability. (C) 2017 The Authors Published by Elsevier Ltd.

关键词： agriculture & solar roof power generation decision-making probability function interval number

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