We propose a new formal grammar (L2 language) and its implementation in JavaScript tool (L2 Designer). the L2 language allows us to create formal definition of the hierarchy of L-systems encapsulated in Lscripts. the ...
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Selecting a portfolio which has the lowest investment risk and also the highest investment return known as a portfolio selection problem. An alternative way finding optimum solution of this bi-objective programming pr...
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ISBN:
(纸本)9781467375061
Selecting a portfolio which has the lowest investment risk and also the highest investment return known as a portfolio selection problem. An alternative way finding optimum solution of this bi-objective programming problem is transforming theproblem into a single objective programming problem using fuzzy decision-making theory. the investment risk is expressed by mean absolute deviation of the return assets, while the investment return is expressed by the average of return assets. this fuzzy bi-objective linear programming (FBLP) is applied to construct an optimum portfolio in Indonesian stock market. the numerical result of FBLP is the same compared with weighted sum approach, but FBLP integrates better the knowledge and subjective opinion of investor where the range rate of risk which can be accepted by investor is incorporated in the model.
In this paper, we study a resource efficient coordinated beamforming design for the downlink of heterogeneous multiuser system. the objective function is formulated as maximizing the weighted sum per-cell resource eff...
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ISBN:
(纸本)9781467376877
In this paper, we study a resource efficient coordinated beamforming design for the downlink of heterogeneous multiuser system. the objective function is formulated as maximizing the weighted sum per-cell resource efficiencies subject to per-user quality of service demands and per-cell transmit power constraints, which is hard to tackle due to the weighted sum-of ratios form and the non-convex nature of the user rate. To solve this problem, we first introduce some auxiliary variables and transform it into an equivalent problem, which can be derived by the fractional programming and convex approximation method. then, a resource efficient optimization algorithm is proposed to achieve the solution by exploiting geometric programming and second order cone programming. Numerical results verify the advantage of the proposed algorithm, and show that it converges to a stable point within a limited number of iterations.
the teaching of Computer programming is now mandated in UK state run primary and secondary schools but few elementary teachers have any exposure to programming and are generally from backgrounds that have not given th...
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ISBN:
(纸本)9789897581083
the teaching of Computer programming is now mandated in UK state run primary and secondary schools but few elementary teachers have any exposure to programming and are generally from backgrounds that have not given them fluency in using such technology. this paper outlines an attempt to develop a training scheme for trainee teachers that will introduce them to computational thinking through the use of the Flash Action Script Development environment. It is believed that learning how to use this tool will provide them with greater motivation to learn how to program as the scripts will be used to develop teaching instruments that they might use in their claßroom. the current paper reports progreß on the development of a tool that will allow the teaching of Flash Action Scripts and the testing of this approach on groups of trainee and experienced teachers. It reports on an experiment and the relative level of enthusiasm, motivation and attitude of the experienced teachers and the trainee teachers both before and after exposure to the pilot tool. As expected the trainee teachers had a more positive attitude towards the potential of the learning tool but both groups had improved attitude and enthusiasm after the experiment.
Robotic softwares with convenient operation and programming are desirable to increase the efficiency and efficacy of industrial robots which work in complex and fickle environments. To develop such softwares, we aim t...
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ISBN:
(纸本)9781467373388
Robotic softwares with convenient operation and programming are desirable to increase the efficiency and efficacy of industrial robots which work in complex and fickle environments. To develop such softwares, we aim to develop a new robotic software called RADOE (Robot Application Development and Operating Environment), under the support from the Science and Engineering Research Council, Singapore. In this paper, we introduce some of our preliminary results of the RADOE project, particularly on the system architecture design. the key objective of our RADOE is to define robotic tasks in a simple way, communicate with different industrial robots and control them under varying environmental conditions. To achieve this, we employ a hierarchical system structure with state machines to make it modular, extendible, robust, and maintainable. Experimental results on KUKA LBR iiwa robot show that RADOE combined withthe developed system architecture demonstrates good performance for motion planning and tasks execution.
Advanced Computer Architecture is an upperlevel required course offered by the Department of Computer Science and Engineering at the University of Alaska-Anchorage (UAA). Course content is structured to provide studen...
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ISBN:
(纸本)9781479988105
Advanced Computer Architecture is an upperlevel required course offered by the Department of Computer Science and Engineering at the University of Alaska-Anchorage (UAA). Course content is structured to provide students with a qualitative and quantitative approach to computer architecture, which addresses boththe hardware and software aspects of parallelism in modern computing systems. Historically, students were exposed to computer architecture's hardware-centric concepts through traditional textbook publisher provided instructor materials, including system schematic and block diagrams, and cycle-by-cycle hand analysis of short assembly language code snippets. Recorded student achievement outcomes for the course, were just meeting the faculty defined levels. Analysis of student performance indicated a higher-level of course content understanding in students with a mix of both hardware and software skills, and lower achievement levels by those students with only software background and skills. In an attempt to improve overall student understanding and outcome achievement, a reform of course material presentation was initiated which focused on use of microbenchmark programming as a means of introducing selected computer hardware concepts through their programming interfaces. Most computer science students are good programmers and understand high-level languages and algorithms. As such, they are used to tackling new concepts with software, so it was hoped that by linking the instruction of computer architecture hardware concepts with a programmer's perspective, overall student understanding and outcomes would improve.
this paper considers real-time cluster-based wireless sensor networks where the nodes harvest energy from the environment. We target performance sensitive applications that have to collectively send their information ...
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ISBN:
(纸本)9781479989379
this paper considers real-time cluster-based wireless sensor networks where the nodes harvest energy from the environment. We target performance sensitive applications that have to collectively send their information to cluster head by a predefined deadline, such as in distributed real-time monitoring and detection. the nodes are equipped with Dynamic Modulation Scaling (DMS) capable wireless radios. the problem is to determine the time slots and modulation levels that will be used by each node while communicating withthe cluster-head in order to achieve energy-neutral (perpetual) operation and maximize energy reserves. We propose a solution that adjusts underlying TDMA slots to enable high-energy nodes to transmit faster and thus produce larger slack for low-energy nodes, while meeting the performance constraint. We present an optimal mixed integer programming based solution. We also develop fast heuristics that are shown to provide approximate solutions through comprehensive experiments with actual solar energy harvesting profiles.
the proceedings contain 8 papers. the topics discussed include: GPU implementation of finite difference solvers;speeding up large-scale financial recomputation with memoization;a systematic methodology for analyzing c...
ISBN:
(纸本)9781479970278
the proceedings contain 8 papers. the topics discussed include: GPU implementation of finite difference solvers;speeding up large-scale financial recomputation with memoization;a systematic methodology for analyzing closed-form Heston Pricer regarding their accuracy and runtime;STAC-A2 on Intel architecture: from scalar code to heterogeneous application;many-core programming with Asian option pricing;a portable and fast stochastic volatility model calibration using multi and many-core processors;on the viability of microservers for financial analytics;and exploring irregular time series through non-uniform fast Fourier transform.
Withthe development of information technology, graph computing becomes an increasingly important tool for information processing. Recently, GPU has been adopted to accelerate various graph processing algorithms. Howe...
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ISBN:
(纸本)9781479989379
Withthe development of information technology, graph computing becomes an increasingly important tool for information processing. Recently, GPU has been adopted to accelerate various graph processing algorithms. However, since the architecture of GPU is very different from traditional computing model, the learning threshold for developing GPU-based applications is high. In this paper, we propose a GPU-based parallel graph processing system named GPregel. GPregel harnesses a lightweight complier to hide the underlying complexity of the parallel details and simplifies programming. It greatly reduces the difficulty in utilizing the GPU to solve graph computing problems. We also design a special storage model for BSP model running on GPU, which overcomes the execution divergence and irregular memory access by coarse-grained designs. Experiments demonstrate that GPregel can achieve high performance with little work for developers.
this paper presents a first step of our research on designing an effective and efficient GP-based method for solving the symbolic regression. We have proposed three extensions of the standard Single Node GP, namely (1...
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