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Face sketch synthesis with a photo is challenging due to that the psychological mechanism of sketch generation is difficult to be expressed precisely by rules. Current learning-based sketch synthesis methods concentrate on learning the rules by optimizing cost functions with low-level image features. In this paper, a new face sketch synthesis method is presented, which is inspired by recent advances...
Grid-connected photovoltaic power system is not only related to solar battery and grid inverter technology, but also involves the system control and optimization problem. The research and improvement about control technology play a vital role in improving the efficiency of the system and Realizing optimization grid. On the basis of considering about control requirements in grid-connected photovoltaic...
This paper shows a successful application of evolutionary algorithms for the design and optimisation of complex real world digital circuit that is a 32-Step Traffic Lights Controller. It discusses two important features of electronic design through evolutionary processes; creativity and innovation. Results are compared to conventional design topologies; and attempt to analyse the evolved designs is...
The traditional cost management pattern is unable to supply accurate cost information, to carry on cost control effectively, is also unable to promote enterprise's core competitiveness truly under the new economic environment. The rich and the development of value chain management theory had provided new development direction for cost control, enables the cost control to develop from local control...
This paper firstly examines the traditional vehicle styling evaluation methods and issues, and then presents a new approach which uses ANN (artificial neural network) to build an expert system for bus styling evaluation. It describes the key technical issues of quasi-three-dimensional bus styling evaluation expert system from data collection, graphical pre-processing, graphics feature extraction,...
The number of intelligent environment implementations such as smart homes is set to increase dramatically within the next 40 years. This is predicted using forecasts of demographic data which indicates an expansion of the aged population. It has also been predicted that governments will struggle to meet the demand for resources such as sensor technology due to costs. Optimisation of limited resources...
Structural optimization of Lennard-Jones (LJ) clusters is a classical NP problem. There are many local minima locating near the global minimum, and the local optima number is increased exponentially. Social cognitive optimization algorithm (SCOA) is a new swarm intelligent technique by simulating the human society. However, its local search capability is still weak. Therefore, in this paper, a novel...
Capability Maturity Model Integration (CMMI) helps organizations to improve software development processes. But it contains very little information on process dynamics. It doesn't address the following issues like Specific tools, methods and technologies to be followed, Issues in Human resource management, People management methodology and cost attached to people manager. In this paper we focus on...
This paper is concerned with the stability and synthesis of fixed structure controllers satisfying robust multi-objective H2/H∞ performance for systems involving human-in-the-loop actuation. Closed loop robust stability conditions are studied for both sector-bounded and passive uncertainties. An iterative algorithm comprised of both genetic algorithms and semi-definite programming is presented for...
For the target of ecological restoration and landscape overall optimization, the study selects China Jingxi abandoned coal mines for typical cases, takes advantage of remote sensing data and GIS spatial information processing technology, through the method combing existing land-use planning, damage assessment of ecological environment and overall optimization of land resource using pattern, determines...
This paper deals with the optimization of sensor arrangement and feature selection for activity recognition of the people living alone with sensors. We suggest an algorithm which picks up from several thousand to millions of characteristic sensor reactions as feature candidates, and selects best feature combinations and corresponding sensor arrangements for classification with as small numbers of...
Within an organization knowledge is present in various form, may be in minds of workers or in documented form. Knowledge is one the most precious resource of an organization. Every organization wishes to preserve and fully utilize its knowledge has various representation schemes such as frames, scripts, lists, rules, decision trees and decision tables etc. Knowledge in the form of rules is easy to...
This document is about optimizing one of the simplest sorting networks named Odd-Even Transposition Sorting Network. This network, because of simple structure, is very suitable to be implemented on two dimensional arrays of processors. In this paper, we consider the optimization of the aforesaid network. At the end we can see that with optimization the steps to be done for sorting a sequence are clearly...
In this paper we propose a computational scheme for online incremental type classification of images, based on human assisted fuzzy similarity analysis. First of all, two main parameters from each image are extracted in the form of a center-of-gravity and a generalized volume of the image model.. Then their differences for each pair of images are taken as respective features F1 and F2, which serve...
We present an automatic and efficient method to extract spatio-temporal human volumes from video, which combines top-down model-based and bottom-up appearance-based approaches. From the top-down perspective, our algorithm applies shape priors probabilistically to candidate image regions obtained by pedestrian detection, and provides accurate estimates of the human body areas which serve as important...
A central problem in the analysis of motion capture (MoCap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should facilitate the recognition, synthesis, and characterization of actions. We propose an unsupervised learning algorithm for automatically decomposing joint movements in human motion capture (MoCap) sequences into shift-invariant basis...
The purpose of this paper is to consider key features of a system of systems and service systems approach in the context of healthcare service. The investigation is motivated by the increasing demand for improvement in patient outcomes in terms of quality, reliability and cost of care. We hypothesize that an integration of system of systems and service systems approaches may yield benefits in terms...
This article uses physical research methods and design verification methods in original driving force of enterprise development as well as development of basic resources cycle to research power, cause, and necessity and implementation strategy all concerning enterprise sustainable development. The result indicates implement of enterprise sustainable development strategy largely depends on progress...
Accurate identification and categorization of different types of human postures is a vital element of a real time video-based surveillance system. In this paper, we present an approach known as the hybrid Particle Swarm Optimization (PSO+K) to classify human postures into their respective clusters. The PSO algorithm is used to search for possible optimal solution from the solution space. Then the...
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