Optimal production control of a dynamic two-product manufacturing system with setup costs and setup times

This paper deals with the optimal control of a one-machine two-product manufacturing system with setup changes, operating in a continuous time dynamic environment. The system is deterministic. When production is switched from one product to the other, a known constant setup time and a setup cost are incurred. Each product has specified constant processing time and constant demand rate, as well as an infinite supply of raw material. The problem is formulated as a feedback control problem. The objective is to minimize the total backlog, inventory and setup costs incurred over a finite horizon. The optimal solution provides the optimal production rate and setup switching epochs as a function of the state of the system (backlog and inventory levels). For the steady state, the optimal cyclic schedule is determined. To solve the transient case, the system's state space is partitioned into mutually exclusive regions such that with each region, the optimal control policy is determined analytically.     

9．5－32mm波段大气衰减随仰角变化的实验研究

在实测和分析３２、１４．６、１２．５和９．５ｍｍ波段大气衰减的基础上，研究了大气衰减随仰角变化的规律；讨论了仰角为３～９０°时计算大气衰减的简化计算公式；给出了大气等效高度与地面水汽密度的关系式，对大气衰减和等效高度的实测值与理论值进行了比较和分析．     

Synthesizing Energy-Efficient Embedded Systems with LOPOCOS

In this paper, we introduce the LOPOCOS (Low Power Co-synthesis) system, a prototype CAD tool for system level co-design. LOPOCOS targets the design of energy-efficient embedded systems implemented as heterogeneous distributed architectures. In particular, it is designed to solve the specific problems involved in architectures that include dynamic voltage scalable (DVS) processors. The aim of this paper is to demonstrate how LOPOCOS can support the system designer in identifying energy-efficient hardware/software implementations for the desired embedded systems. Hence, highlighting the necessary optimization steps during design space exploration for DVS enable architectures. The optimization steps carried out in LOPOCOS involve component allocation and task/communication mapping as well as scheduling and dynamic voltage scaling. LOPOCOS has the following key features, which contribute to this energy efficiency. During the voltage scaling valuable power profile information of task execution is taken into account, hence, the accuracy of the energy estimation is improved. A combined optimization for scheduling and communication mapping based on genetic algorithm, optimizes simultaneously execution order and communication mapping towards the utilization of the DVS processors and timing behaviour. Furthermore, a separation of task and communication mapping allows a more effective implementation of both task and communication mapping optimizationsteps. Extensive experiments are conducted to demonstrate the efficiency of LOPOCOS. We report up to 38% higher energy reductions compared to previous co-synthesis techniques for DVS systems. The investigations include a real-life example of an optical flow detection algorithm.     

基于小波基优化和动态比特分配的数字音频压缩编码方案

提出了一种新颖的基于自适应小波基优化选择和心理声学模型相结合的数字音频信号的透明质量编码方法，保证固定失真水平上使每帧信号的变换系数的动态分配的比特数最少，并且利用动态码本的方法来消除音频信号的统计冗余，进一步压缩比特率，对于抽样率为４４．１ｋＨｚ每样值用１６比特线性码表示的光盘单声道音乐信号可以压缩到６４ｋＢＰＳ左右。     

Anisotropic elastodynamics in a half space: An analytic method for polynomial data

An initial boundary value problem for the dynamic system of anisotropic elasticity in a half space is studied in the paper. A novel method of finding an exact solution of this problem for a special polynomial form of initial data and inhomogeneous term of the system is described. On the base of this method the simulation of elastic waves in different homogeneous anisotropic half spaces is implemented.     

A floating-point genetic algorithm for solving the unit commitment problem

This paper proposes a floating-point genetic algorithm (FPGA) to solve the unit commitment problem (UCP). Based on the characteristics of typical load demand, a floating-point chromosome representation and an encoding–decoding scheme are designed to reduce the complexities in handling the minimum up/down time limits. Strategic parameters of the FPGA are characterized in detail, i.e., the evaluation function and its constraints, population size, operation styles of selection, crossover operation and probability, mutation operation and probability. A dynamic combination scheme of genetic operators is formulated to explore and exploit the FPGA in the non-convex solution space and multimodal objective function. Experiment results show that the FPGA is a more effective technique among the various styles of genetic algorithms, which can be applied to the practical scheduling tasks in utility power systems.     

Numerical simulations of the mitigation of unconfined explosions using water-mist

Mitigating the effects of explosive blasts has been an important concern for a long time. Water-mist presents an attractive option due to its easy availability, extensive use in the fire suppression area, and non-toxicity. However, its ability to mitigate the effects of blasts is unclear. This research uses multiphase numerical simulations to elucidate some of the issues associated with using water-mist to mitigate explosive blasts in unconfined spaces. Initial multidimensional simulations examine the effect of water-mist on the blast wave generated by a TNT explosive. Results show that the droplets are generally swept outward with the shock wave and in general do not penetrate into the secondary fireball. The water-mist does, however, mitigate the shock-front through vaporization and momentum extraction. Further simulations show that momentum extraction has the dominant role in mitigating the leading shock wave. Parametric studies indicate that droplet size and mass loading play a secondary role to the total amount of water between the observer and the explosive blast. This is a promising result for using water-mist for blast-mitigation, because it suggests that water-mist can be as effective as having a more dense “water wall” surrounding the explosive.     

Portfolio optimization in stochastic markets

We consider a multiperiod mean-variance model where the model parameters change according to a stochastic market. The mean vector and covariance matrix of the random returns of risky assets all depend on the state of the market during any period where the market process is assumed to follow a Markov chain. Dynamic programming is used to solve an auxiliary problem which, in turn, gives the efficient frontier of the mean-variance formulation. An explicit expression is obtained for the efficient frontier and an illustrative example is given to demonstrate the application of the procedure.     

有关力学谱和内耗工作的综合与回顾

本文广泛地收集了有关内耗，力学谱，超声衰减方面的专著及会议文集。反映了20世纪在此领域的英文，俄文出版的书籍。也列出了历次国际会议及前苏联，乌克兰，中国的国内会议。文中包括了点缺陷，电，声子，位错，晶界，电畴等诸方面在内的内耗与力学谱工作。     

基于图像数据库的动态场景生成系统

实现各类目标和背景下动态场景的计算机编辑和生成，首先应对组成动态场景的要素进行分析，即目标，目标运动规律和特殊事件四个要素，然后通过编程由四个模块完成相应功能。目标，背景编辑模块可对目标，背景图像进行各种处理，并对重要特征量进行计算，运动路径模块可指定目标的运行规律，包括路线，大小和角度变化等。特殊事件模块可加入独立目标的各类典型事件，如运动的干扰物等。最后通过动态场景合成由计算机自动生成所需的动态场景图像。所需的原始目标，背景图像来源于图像数据库管理系统，通过索引项可便携地找到。