the area of predictive maintenance has taken a lot of prominence in the last couple of years due to various reasons. With new algorithms and methodologies growing across different learning methods, it has remained a c...
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In this paper, we propose a product recommendation system based on genetic algorithm to find the best recommendation for a combination of products to the customers. the model evaluation relies on customer preferences ...
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In this study, ANN based magnetic field modeling has been experimentally achieved for Double Sided Linear Switched Reluctance Motor (DLSRM) with 6/4 poles, 3 phases, 250W. Inductance modeling profile overlaps magnetic...
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ISBN:
(纸本)9781538663929
In this study, ANN based magnetic field modeling has been experimentally achieved for Double Sided Linear Switched Reluctance Motor (DLSRM) with 6/4 poles, 3 phases, 250W. Inductance modeling profile overlaps magnetic field data was obtained from hall-effect sensor. It is important that estimation inductance value against phase current and motor position due to main factors of the propulsion force. the precise inductance modeling helps to overcome DLSRM nonlinearity characteristic. In addition, the model is useful for controlling motor such as adaptive control methods, new developed force control methods, position control without sensor to be able removing some parts and becoming simplicity of control algorithms.
We present an algorithm for finding maximum cut and an algorithm for finding minimum flow in directed s-t planar networks with arcs and nodes capacities. As a final part, we present an example for these two algorithms.
ISBN:
(纸本)9781538650653
We present an algorithm for finding maximum cut and an algorithm for finding minimum flow in directed s-t planar networks with arcs and nodes capacities. As a final part, we present an example for these two algorithms.
the volume Software Engineering Perspectives and Application in Intelligent Systems presents new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches i...
ISBN:
(数字)9783319336220
ISBN:
(纸本)9783319336206
the volume Software Engineering Perspectives and Application in Intelligent Systems presents new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of Software Engineering. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also *** 5th Computer Science On-line conference (CSOC 2016) is intended to provide an international forum for discussions on the latest research results in all areas related to Computer *** addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control theory and Software Engineering.
Music generation techniques have made tremendous progress in recent years. through deep learning neural network frameworks, algorithms can generate music that rivals humans. However, current music generation models la...
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In this paper, we consider the two-parallel machine scheduling problem with a non-availability interval. We aim to minimize the maximum lateness when every job has a positive tail. We show that the problem has a const...
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ISBN:
(纸本)9781538650653
In this paper, we consider the two-parallel machine scheduling problem with a non-availability interval. We aim to minimize the maximum lateness when every job has a positive tail. We show that the problem has a constant polynomial approximation algorithm. We present a dynamic programming algorithm and we show that the problem has an FPTAS (Fully Polynomial Time Approximation Algorithm). the proposed FPTAS has a strongly polynomial running time. Finally, we present some numerical experiments and we analyze the obtained results.
the use of technology to improve the experience and teaching and learning process in the classroom has been promoted now. One of these technologies is Augmented Reality (AR). Users are in a virtual space while still h...
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ISBN:
(纸本)9781728120942
the use of technology to improve the experience and teaching and learning process in the classroom has been promoted now. One of these technologies is Augmented Reality (AR). Users are in a virtual space while still having nuances in real life called AR. AR has been proven to offer several solutions in the context of education, namely increasing learning involvement and increasing understanding of some materials. this study proposes AR-assisted learning media withthe method of 3D Based Tracking and audio Marker, which is used by preschool children to recognize animals and fruits in English alphabetically, then analyze, evaluate, and know the effects on their use. the Extreme Programming (XP) method is used as an application development method. Application testing is done by black box testing, testing variations between distance, angle, lighting, background, and font size of the marker, and AR-Child response time to the detection of markers by the camera for the appearance of virtual objects. thirty preschool children aged 4-6 years were involved in using the AR-Child application and analyzing application testing on the attractiveness and fun elements of students withfun testing. the effect of using AR-Child is seen from the learning outcomes at the end of the second meeting.
In order to reduce operating time and cost, this paper studies the container relocation problem during loading operations, withthe objective to minimize the total number of relocation movements. Given the retrieval o...
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ISBN:
(纸本)9781538657485
In order to reduce operating time and cost, this paper studies the container relocation problem during loading operations, withthe objective to minimize the total number of relocation movements. Given the retrieval order, this paper focuses on the best position for the relocated containers which are stacked immediately above the targeted one, so that the total relocation number will be minimized. A Brand-andbound algorithm is first proposed, and then a height-based heuristic algorithm (HH) is proposed to tackle large-scale instances. To further enhance the performance of the proposed HH, an improved algorithm (IHH) is proposed as well. Numerical experiments are conducted to compare the three proposed algorithms, and their superiority is also verified by comparing to the algorithm reported in the literature.
the problem of mobile objects group motion in an uncertain three-dimensional area with obstacles is considered in the paper. the decision of the problem is carried out using a hybrid algorithm that combines the immedi...
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ISBN:
(纸本)9781538650653
the problem of mobile objects group motion in an uncertain three-dimensional area with obstacles is considered in the paper. the decision of the problem is carried out using a hybrid algorithm that combines the immediate reaction to the obstacles and the scheduling algorithms at the upper level. the reactive component is implemented on the basis of unstable modes, allowing to transform obstacles into repellers. the motion planning is based on heuristic analysis of the data received from the sensory systems and the clustering based on the Delaunay triangulation. the direction of the obstacles bypass and the position of the mobile object in the group are determined as a result of this analysis executing. the method of the trajectory correction by adding the component, generated by the dynamic system transforming into an unstable mode during the obstacles detection, into the upsetting control is proposed in the paper. the proposed algorithms can be implemented decentrally. the analysis of the proposed algorithms is considered and the numerical simulation is performed.
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