In the recent decade, electronic technology gets advanced day by day the methodologies too should update. For the purpose of ranging various methods such Radio Detection and Ranging (RADAR), Light Detection and Rangin...
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The article is focused on design of specific electromagnetic coil system using numerical modelling and simulation methods. The proposed solution would be capable of delivering magnetic field of desired strength/ flux ...
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ISBN:
(数字)9781665467261
ISBN:
(纸本)9781665467278
The article is focused on design of specific electromagnetic coil system using numerical modelling and simulation methods. The proposed solution would be capable of delivering magnetic field of desired strength/ flux density and homogeneity within the specific area to affect the cultivation process of single cells in lab on chip experiments.
Simulators are essential training instruments in various technical domains and these instruments must be used in the teaching process to consolidate theoretical knowledge. In control theory, many systems must be simul...
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ISBN:
(数字)9783907144022
ISBN:
(纸本)9781728188133
Simulators are essential training instruments in various technical domains and these instruments must be used in the teaching process to consolidate theoretical knowledge. In control theory, many systems must be simulated beforehand in different scenarios, under variable *** this context, this paper presents a simulation environment for students for a 3-Tank control System. The proposed solution is built as a flexible software and hardware architecture, with remote capabilities developed under the server-client principle. The mentioned system is simulated based on the mathematical model and the results are validated with MATLAB/Simulink. Based on the model, a control algorithm is designed and several observations are underlined, considering the fact that the simulator is developed for educational purposes.
This paper proposes a real-time mechanism for detection of the assembly faults using assembly cycles of a mechatronics industrial line. We employ efficient image analysis technique in order to achieve real-time behavi...
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ISBN:
(数字)9781728163765
ISBN:
(纸本)9781728163772
This paper proposes a real-time mechanism for detection of the assembly faults using assembly cycles of a mechatronics industrial line. We employ efficient image analysis technique in order to achieve real-time behavior. Using Matlab ® as programming language, we devise an application for segmentation of color images acquired using a dual video camera system. Our approach is using only visual information acquired with both cameras in order to successfully detect the assembly faults. The image analysis methodology presented in this paper proves to be a suitable solution for assembly fault detection using our industrial assembly line. Moreover, the proposed technique for assembly fault detection is deployed as a real-time process for the industrial assembly line with significant processing times.
When mining of input data is focused on rule induction, knowledge, discovered in exploration of existing patterns, is stored in combinations of certain conditions on attributes included in rule premises, leading to sp...
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When mining of input data is focused on rule induction, knowledge, discovered in exploration of existing patterns, is stored in combinations of certain conditions on attributes included in rule premises, leading to specific decisions. Through their properties, such as lengths, supports, cardinalities of rule sets, inferred rules characterise relations detected among variables. The paper presents research dedicated to analysis of these dependencies, considered in the context of various discretisation methods applied to the input data from stylometric domain. For induction of decision rules from data, Classical Rough Set Approach was employed. Next, based on rule properties, several factors were proposed and evaluated, reflecting characteristics of available condition attributes. They allowed to observe how variables and rule sets changed depending on applied discretisation algorithms.
In this paper we present a simple and efficient approach based on the decision fusion of the characteristics-based method (ABCD) and deep neural networks-based method to classify skin lesions as melanoma or common nev...
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ISBN:
(数字)9781665404990
ISBN:
(纸本)9781665405003
In this paper we present a simple and efficient approach based on the decision fusion of the characteristics-based method (ABCD) and deep neural networks-based method to classify skin lesions as melanoma or common nevus. As deep neural networks AlexNet and GoogLeNet were used. The decision fusion considers a convolutional rule of associated weights and probabilities provided by the previous classifiers. The method was implemented in the Matlab software and dermoscopic images from the PH2 and ISIC databases were used. The experimental results and the melanoma detection rate validate the proposed approach.
Nowadays, unmanned aerial vehicles (UAVs) and wireless sensor networks (WSNs) are often integrated in collaborative systems for data collection. In this paper, a specific UAV trajectory design for effective and secure...
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The paper presents a solution for visual servoing problem that is implemented on a robotic arm from an industrial flexible assembly line. This line respects the Industry 4.0 paradigm, thus having a modular structure c...
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ISBN:
(数字)9781728157429
ISBN:
(纸本)9781728157436
The paper presents a solution for visual servoing problem that is implemented on a robotic arm from an industrial flexible assembly line. This line respects the Industry 4.0 paradigm, thus having a modular structure consisting of five stations. Each station includes a Programmable Logic controller equipment for local control and communication modules for connection with other stations. The paper is focused on the design and implementation of the visual servoing system which ensures the line flexibility. The experimental results validate the system functionality and indicate significant performances.
In this paper we aim to analyze the response of the target audience to out-of-home advertising panels mounted in display windows. We track people passing in front of the panels and, if they approach the panel, looking...
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ISBN:
(数字)9781728168432
ISBN:
(纸本)9781728168449
In this paper we aim to analyze the response of the target audience to out-of-home advertising panels mounted in display windows. We track people passing in front of the panels and, if they approach the panel, looking directly at it, we analyze their facial movements, to see whether the advert appeals to them or not. The approach is based on video data gathering using a static IP camera, storage and analysis, aiming to deliver real-time results. We use neural networks and support vector machines to determine facial microexpression. Results are correlated with information about the adverts displayed to be of use to advertising providers.
This paper is proposing a model predictive control (MPC) approach for a pantograph-catenary positioning system. A transfer function model is obtained from the state space model. Future algorithms will be applied on th...
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ISBN:
(数字)9781728198095
ISBN:
(纸本)9781728198101
This paper is proposing a model predictive control (MPC) approach for a pantograph-catenary positioning system. A transfer function model is obtained from the state space model. Future algorithms will be applied on the input/output form of the system. This model is discretized. Over the discretized model an MPC algorithm is applied using a model horizon of dimension 10. Simulations are showing the performances of the MPC controller applied on the nonlinear system for different input speed values of the train.
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