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This article explores cooperation of different mathematical models in the same system if the Particle Swarm Optimization (PSO) method is used for system parameter identification. Four different realistic system mathematical models of the second order were used to create different state spaces of the agents' positions. All the experiments were evaluated in wide and narrow intervals around the fitness...
Currently, some universities and colleges in Palestine use a traditional assessment method to evaluate their faculty members' performance each semester, while some use e-forms that are being evaluated manually. However, these processes are not flexible or accurate enough to give fair and non-prejudiced feedback. Moreover, it takes a long time to ensure the information quality of the data inputs as...
This paper discusses the development of a public transit scheduling tool that can be run on a spreadsheet software. The main objective of the paper is to bridge the existing gap between the theoretical knowledge of bus service scheduling and local transport service providers in order for the latter to improve their service. Users of the tool are allowed to input onboard passenger counts, to analyze...
The concept of cycle slipping was introduced by J.J. Stocker for the mathematical pendulum with friction. After an impact, the pendulum make several revolutions around the suspension point before settling down in the lower stable equilibrium. The number of those revolutions is referred to as the number of cycles, slipped by the solution. In general, the number of slipped cycles may be defined for...
Developing engineers for a changing world presents a greater need for students to understand simulations. Understanding mathematical models and simulations are skills that all engineers need for industry and research, but many engineering students lack a conceptual understanding of how to develop them. This workshop facilitates conversations about the future of engineering education with an emphasis...
This article describes universal tracking control method. It is based on model linearization in every point of trajectory. Tested device is an inertial wheel pendulum (IWP). This is an underactuated nonlinear object — two degrees of freedom (angle from vertical and angle of rotation of electric motor) and one actuator (current). The linear quadratic regulator (LQR) and the model of the object are...
Sci-tech novelty retrieval (STNR) plays an important role in novelty retrieval of literature information in the colleges and universities. It can help experts to confirm novelty of sci-tech projects which are required for application and approval. In this study, we give the basic framework of the system, and build the mathematical models of the optimized processing system for STNR based on queuing...
In this paper, we propose simple model following control design methods for a stable and an unstable plant. Each method is based on the pole placement using model parameters. In simulation studies, we show various cases including a nominal plant and the plant with a modeling error for a stable plant, an unstable plant, and a DC motor. These results show that the proposed methods have been superior...
ARCS model is a motivational design model for learning environments to stimulate and sustain learner motivation using the problem-solving approach. The ARCS model often used to identify and solve problems in a systematic way to motivate a learner in classroom learning or e-learning environment. The gamification of learning provides a useful technique to drive engagement and motivation in applying...
Community detection in inhomogeneous structured network is an attractive research problem that searches for methods to discover groups in which individuals are more densely interconnected with each other with higher probability of internal information propagation. While most of the previous approaches attempt to divide networks into communities according to the algorithm results of network or edge...
Qualitative Mapping(QM) is the basis of Property Theory, by which Conversion Degree Functions are induced. Furtherly Inverse Conversion Degree Functions are proposed used to convert qualitative description into quantitative value for some attributes of objects according to the degree to which the qualitative description belongs. Finally Qualitative Membership Degree Matrix based on the proportion...
A task migration method is proposed for energy savings in multiprocessor real-time systems. The method is based on the portioned scheduling technique which classifies each task into a fixed task or a migratable task. The energy-aware migration with specified parameters is formulated as a linear programming problem, and optimal solution is given. Furthermore, the method is extended to more general...
An SR-UKF model for integrating INS and Vision navigation system was built to estimate the INS system error, in which regarding the INS system error equation as process model, and homography between two-view as measure model. Aiming at the invalidity of traditional homography between two views when coplanar points exactly in the word coordinate system plane, a novel expression of homography was proposed...
In this paper, we propose a four-way procedure to estimate missing preference values when dealing with acceptable incomplete fuzzy preference relations (IFPRs). The proposed revised procedure can estimate more missing elements in the first iteration and also has more advantages than the existing methods. An illustrative example and comparative analyses are offered to demonstrate the advantages of...
Vehicle Tracking and positioning in GSM networkwith greater accuracy is one of the major popular research topics of Intelligence transportation System and it pass on with the evolution of techniques and methods which enable the data processor to learn and execute activities with the help of Machine learning. Support Vector Machine (SVM) is an isolated classifier which deals with both linear and nonlinear...
While tracking has been developed rapidly with the presentation of efficient algorithms recent years, some problems remain unsolved. Occlusion is a challenge for tracking especially in crowded scenes. In this paper, we address the problem by proposing a robust algorithm based on particle filter with blocks and discriminative model. Discriminative model offers accurate templates for occlusion detection...
Volterra series are used for modelling nonlinear systems with memory effects. The nth-order impulse response and the kernels in the series can be determined with Fréchet derivatives of Volterra series operators. Consequently, we can determine the kernels of composite systems by taking higher-order Fréchet derivatives of composite series. The generalisation of the higher-order chain rule, Faà di Bruno's...
In this paper, we show empirically that the spatial node density resulting from human mobility follows a power law. We also show that the number of locales visited by users also exhibit heavy-tail behavior. We develop a stochastic model that confirms our empirical observations by showing that node mobility resulting from our model closely approximates mobility recorded in real traces collected from...
Crowd sensing is an approach to collect many samples of a phenomena of interest by distributing the sampling across a large number of individuals. While any one individual may not provide sufficient samples, aggregating samples across many individuals may provide high-quality and high-coverage measurements of a phenomena. In this work, we propose an incentive assignment mechanism for crowd sensing...
Virtual Labs (VLAB) is a multi-institutional Open Educational Resources (OER) initiative, exclusively focused on lab experiments for engineering education. This project envisages building a large OER repository, containing over 1650 virtual experiments mapped to the engineering curriculum. The introduction of VLAB is a paradigm shift in an educational system that is slow to change. Treating VLAB OER...
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