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In this paper, a new robust optimization algorithm is proposed. The new approach includes the concept of contour lines which share a local peak and uses the information of the contour areas. The validity was evaluated by mathematic function and applied to optimal design of permanent magnet synchronous motor (PMSM).
Power Park comprised of multiple modular microgrids exhibits advantages including: better control flexibility, higher scalability, higher reliability, etc. The energy management system (EMS) of the Power Park can be divided into three layers, namely, converter layer, microgrid module layer and Power Park layer. In order to realize system control objectives in different layers, Beaglebone Black (BBB)...
Gene regulatory networks are the complex dynamical structures that orchestrate the activities of biological cells. Inappropriate dynamical behaviours, caused by mutations or environmental perturbations, can lead to disease. Control interventions, for example in the form of therapeutic drugs, can lead to recovery from disease. In this paper, we consider how Boolean networks can be used to control a...
This paper introduces a holistic approach in the formulation and optimization of museum visitors' Quality of Experience (QoE). The most influential parameters on visitors QoE have been identified and quantified via performing an empirical study based on a questionnaire answered by experts in the field of arts and museums. Individual QoE functions with respect to each of the identified parameters have...
Wireless Sensor Networks (WSNs) are made up of number of sensor nodes which can sense the physical quantity, process it and transmit/receive it to base station (BS) via single hop and multiple hops. These sensor nodes needs the power or energy to operate which is generally provided by battery. since these batteries have limited amount of energy so energy consumption in sensor network is a serious...
Closed-circuit television (CCTV) or video surveillance is the most useful technology mostly used in the field of security purposes. CCTVs can be found at many places ranging from public to private places. One of the most challenging problem in installing the CCTV cameras at large scale is storage space occupied by the footage. Footage is mostly stored in secondary storage devices like hard disk drives...
Filling dead pixels or eliminating unwanted things is typically preferred within the applications of remotely sensed images. In proposed article, a competent image inpainting technique is demonstrated to resolve this drawback, relied Nonlocal total variation. Initially remotely sensed images are effected by ill posed inverse problems i.e. image destripping, image denoising etc. So it is required to...
Preserving the content of historic handwritten manuscripts is important for a variety of reasons. On the other hand, digital libraries are rapidly expanding and thus facilitate to store this information directly in digital form. For digitising text documents, a crucial step is to binarise the captured images to separate the text from the background. In this paper, we propose an effective approach...
This paper overviews a technique for verifying cache coherence protocols described in the Promela language. The approach is comprised of the following steps. First, a model written for a certain configuration of the memory system is generalized to the model being parameterized with the number of processors. Second, the parameterized model is abstracted from the exact number of processors. Finally,...
As a result of immense growth of digital data in the last decade, energy consumption has become an important issue in data storage systems. In the US alone, data centers were projected to consume $4 billion (40 TWh) yearly electricity in 2005. This cost had reached to $10 billion (100 TWh) in 2011, and expected to be around $20 billion (200 TWh) in 2016 by doubling itself every 5 years. In addition...
Today's usable quantum computers, variously known as adiabatic quantum computers or quantum annealers and exemplified by the D-Wave 2X™ system, have an instruction set architecture foreign to mainstream classical computers and thus require a new class of programming tools to enable their widespread use. We submit that well-chosen abstractions, each balancing the ability of high- and low-level tools...
Quantum computing is an innovative and exciting field at the crossing point of mathematics, computer science and physics. In this paper we used a system dynamics approach to illustrate the impact of quantum computing through a variety of factors. Three main factors, namely optimization, scaling and parallelism, were identified as being the most influential. We then attempted to identify which areas...
In the study the possibilities of using personal computers equipped with multi-core processors for optimisation calculations of complex technical objects were analysed. Desktops and portable computers, such as laptops, were compared. The exemplary object which was subject to the optimisation process was a three-phase, unshielded busduct in constant insulation. A genetic algorithm method was used for...
The paper presents two new software functions of the system of software functions MAOPCs. The first software function is designed to determine the instantaneous power in the branch of linear periodically-time-variable circuit and the second software function is designed to determine the transfer coefficient of average power from input range to the output. The paper also presents computer experiments...
With the rapid development of database and web technology, the way data organized and presented is becoming increasingly complicated while data sources are also intermingled with inaccurate information. Therefore, studies in truth discovery becomes overwhelmingly significant for it is critical for netizens to identify sources of high quality as well as to select the most accurate information from...
Traveling salesman problem (TSP) is studied as a combinatorial optimization problem—a problem that attempts to determine an optimal object from a finite set of objects—which is simple to state but difficult to solve. It is a nondeterministic polynomial-time hard problem, hence, exploration on developing algorithms for the TSP has focused on approximate methods above and beyond exact methods. The mission...
Segmentation of manually written record photos into content material traces and words is a crucial undertaking for optical character acknowledgment. However, for the reason that elements of written by hand record are abnormal and various depending at the character, so far it is considered as a challenging issue. A good way to deal with the hassle, we formulate the word segmentation problem as a binary...
Clustering is among the most common data mining techniques and Fuzzy clustering can model the world even more realistically and more precisely. One of the most favorable fuzzy clustering methods is the Fuzzy C-Means (FCM) algorithm, which is actually identical to the (original) K-Means clustering algorithm fueled with a fuzzy flavor. However, there are some issues with the fuzzy clustering methods;...
Formulated mathematical model and the developed finite-difference method and computer program that enables the effective exercise of computer modeling and optimization of high-speed processes of thawing of soils with the help of the magnetrons. As the primary modeling method used a variant of end-to-end “enthalpy” method without smoothing concentrated heat capacity. Implemented a series of informative...
An improved cloud resource revenue optimization models are proposed, which include the benefits of service providers and users negotiate SLA agreement. And the models define the constraint mechanism for describing service quality problems such as service response time and customer satisfaction. We design the comprehensive response indicator and use this indicator to quantify the rationality of the...
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