A mathematical model for all matter-energy processing subsystems at the level of the society, specifically India, is presented. India''s choices in the food and energy sectors over the coming decades are explo...
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A mathematical model for all matter-energy processing subsystems at the level of the society, specifically India, is presented. India''s choices in the food and energy sectors over the coming decades are explored. Alternative land intensive, irrigation energy intensive and fertilizer intensive techniques of food production are identified using a nonlinear programming model. The land saved is devoted to growing firewood. The optimum combination of railway (steam, diesel and electric traction) and road (automobiles, diesel trucks and diesel and gasoline buses) transport is determined. For the oil sector, 2 alternative sources of supply of crude oil and petroleum products are included, namely, domestic production and imports. The optimum choice is determined through a linear programming model. While the model is basically a static one, designed to determine the optimal choice for the target year of 2000-2001, certain intertemporal detail is incorporated for electricity generation. The model minimizes the costs of meeting the needs for food, transport in terms of passenger km and goods/ton per k, energy needs for domestic cooking and lighting and the energy needs of the rest of the economy.
Acting as an entirely new Internet application model, Cloud computing will be the leading way to access services and information in the near future. The thesis focuses on the definition of Cloud computing and its appl...
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Acting as an entirely new Internet application model, Cloud computing will be the leading way to access services and information in the near future. The thesis focuses on the definition of Cloud computing and its application occasions;puts forward six technical advantages on the basis of the beginning of its technical features;analyses the programming and task scheduling model according to the present-used cloud computing system. Examples are applied to explain the process of programming and its modifying directions, as well as the process within which services and resources exchange. For the explanation of Cloud computing, how social network may increase the Qos through changing the service load will be discussed. The development of Cloud computing is estimated in the end of the thesis.
Insect Intelligent Building is a flat and distributed new Building Intelligent System, whose tasks need be solved in parallel. How to develop parallel programs quickly and efficiently for it has become an important re...
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Insect Intelligent Building is a flat and distributed new Building Intelligent System, whose tasks need be solved in parallel. How to develop parallel programs quickly and efficiently for it has become an important research content. However, the general parallel programming method lacks the domain characteristics of Insect Intelligent Building, and pay too much attention to the complex interaction between nodes. This leads to more difficulty in programming. This paper focuses on the "master-slave distributed tasks" that is a kind of typical task in Insect Intelligent Building, and proposes a programming model. This programming model defines some new programming elements such as "Domain", "Master CPN", and "Slave CPN", and hides underlying details of data propagation and aggregation between nodes. It effectively reduces the programming difficulty of "master-slave distributed tasks". In the case study, the programming model is applied to a tap water control system and the results show that it has high robustness and portability and be easy to use.
This paper adopts the "metod for the construction of knowledge-based decision-making model ",defines the decision-making modeling system based on knowledge,and describes the set of operations and processes o...
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This paper adopts the "metod for the construction of knowledge-based decision-making model ",defines the decision-making modeling system based on knowledge,and describes the set of operations and processes of the model *** the consumption of resources for different tasks as an example,this paper constructs a linear programming model through human-computer interaction,and describes the modeling *** modeling method is characterized by "interactivity "and "knowledge-based".
programming models for cloud computing has been a research focus recently. Current programming models for cloud computing mainly focus on improving the efficiency of the cloud computing platforms but little has been d...
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ISBN:
(纸本)3642128130
programming models for cloud computing has been a research focus recently. Current programming models for cloud computing mainly focus on improving the efficiency of the cloud computing platforms but little has been done on the performance predictability of models. This paper presents a cloud computing programming model, called BSPCloud. The BSPCloud has the advantages of predictable performance. BSPCloud uses a hybrid of distributed-memory and shared-memory bulk synchronous parallel (BSP) programming model. Computing tasks are first divided into a set of coarse granularity bulks which are computed by the distributed-memory BSP model, and each coarse granularity bulk is further divided into a set of bulk threads which are computed by the shared-memory BSP model. BSPCloud makes full use of the multi-core architecture, and more importantly, the performance of the BSPCloud is predictable. We have implemented a proof-of-concept BSPCloud parallel programming library in java. We give the implementation of BSPCloud parallel programming library and show how the library implements hybrid programming. We detail applying the BSPCloud library on matrix multiplication. The performance predictability and speedup are evaluated in the cloud platform. We give the results of experiments.
To obtain a good trade-off between accuracy and the computational load of WCDMA (wideband code-division multiple access) network planning and optimisation, link-level performance factors such as the impact of soft han...
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To obtain a good trade-off between accuracy and the computational load of WCDMA (wideband code-division multiple access) network planning and optimisation, link-level performance factors such as the impact of soft handover and fast power control need to be taken into account in system-level simulations. However, they have not been investigated together in previous works. In this paper, we propose a mixed integer programming model considering these factors in both uplink and downlink, and present optimisation strategies based on three meta-heuristics, namely simulated annealing (SA), evolutionary SA (ESA) and variable neighbourhood search (VNS). The base station location problem is modelled as a simplified p-median problem. Experimental results are provided to compare the performance of different algorithms with respect to the solution quality and the level of robustness.
The Parallel Random Access Machine - Non Uniform Memory Access (PRAM-NUMA) model of computation can be used to implement efficient emulated shared memory (ESM) computers for general purpose parallel applications and y...
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ISBN:
(纸本)9780769546766
The Parallel Random Access Machine - Non Uniform Memory Access (PRAM-NUMA) model of computation can be used to implement efficient emulated shared memory (ESM) computers for general purpose parallel applications and yet support sequential and NUMA legacy code and avoid loss of performance in applications with low parallelism. While programming of these computers is provably easy, there is still room for improvement since they make implementing time-shared multitasking expensive, sometimes replicate much of the execution unnecessarily, and force a programmer to use looping and conditional control primitives in the case the application parallelism does not match the hardware parallelism. Thick Control Flow (TCF) is a parallel programming model that does not provide a fixed number of threads like PRAM-NUMA but a number of control flows that have certain thickness that can vary according to needs of the application catching the best parts of the dynamicism and generality of the original unbounded PRAM model and simplicity of the Single Instruction Stream Multiple Data Streams (SIMD) model. In this paper we study implementing the TCF model on a top of the PRAM-NUMA model and propose an extended PRAM-NUMA model that makes this straight-forward. Architectural implementation and programming of the extended model are discussed with short examples.
We propose a quantum programming paradigm where all data are familiar classical data, and the only non-classical element is a random number generator that can return results with negative probability. Currently, the v...
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ISBN:
(纸本)9789819789429;9789819789436
We propose a quantum programming paradigm where all data are familiar classical data, and the only non-classical element is a random number generator that can return results with negative probability. Currently, the vast majority of quantum programming languages instead work with quantum data types made up of qubits. The description of their behavior relies on heavy linear algebra and many interdependent concepts and intuitions from quantum physics, which takes dedicated study to understand. We demonstrate that the proposed view of quantum programming explains its central concepts and constraints in more accessible, computationally relevant terms. This is achieved by systematically reducing everything to the existence of that negative-probability random generator, avoiding mention of advanced physics. This makes quantum programming more accessible to programmers without a deep background in physics or linear algebra. The bulk of this paper is written with such an audience in mind. As a working vehicle, we lay out a simple quantum programming language under this paradigm, showing that not only can it express all quantum algorithms, it also naturally captures the semantics of measurement without ever mentioning qubits or collapse.
The R & D (Research & Development) process of mobile application can be regarded as a complex system engineering that needs to take into account a variety of influencing elements, such as customer's demand...
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The R & D (Research & Development) process of mobile application can be regarded as a complex system engineering that needs to take into account a variety of influencing elements, such as customer's demands, engineering measures and business goals etc., as well as their interplay. A novel decision support platform is proposed to assist project managers in determining the optimal technical measures with implementation degrees and resource allocation scheme. Specially, the HDQ (House of Development Quality) is designed to collect essential data and information as well as reflect correlations among elements, which can effectively connect isolated information islands. Through the transform of HDQ, a multi-objective programming model is constructed to meet customers' overall demands and specific requirements. A combination of specified technical measures and resource allocation can be obtained under ideal conditions. Additionally, the extended model considering resource substitution is designed to realize further improvement by effectively utilizing the surplus resource in the above optimal condition, demonstrating the advantage of proper managerial arrangement and resource deployment. Finally, the R & D case of family financial management application is conducted to illustrate the effectiveness of the suggested method, which offers a new perspective on mobile application R & D project management.
In this paper, we present an analytical solution for evaluating the ramped-pulse programming behaviors of the drain-coupling source-side injection split-gate flash for multilevel charge storage. Starting with the prog...
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In this paper, we present an analytical solution for evaluating the ramped-pulse programming behaviors of the drain-coupling source-side injection split-gate flash for multilevel charge storage. Starting with the programming model, the relations of the storage charge, read current and peak lateral field to the ramped-pulse programming time are analytically expressed as functions of electrical, technological and physical parameters and agree well with experimental results. The program speed and program accuracy, including the effects of electrical bias and process variations, are analytically estimated.
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