this paper provides guidelines for designing bus transit simulations and justifies the need of a qualitatively and quantitatively correct model that is validated and can serve as a benchmark testing platform for the n...
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this paper provides guidelines for designing bus transit simulations and justifies the need of a qualitatively and quantitatively correct model that is validated and can serve as a benchmark testing platform for the numerous optimisation strategies that researchers *** describes and comments on some of the most important contributions regarding bus transportation control and optimisation from a modelling ***,a case study concerning a bus line in Singapore is conducted where smart card data is used to extract the parameters needed in order to construct the model,while discussing the methods and challenges of this ***,the simulation is calibrated and validated in order to ensure maximum accuracy of its outputs.
Wireless Sensor Network (WSN) has been a focus for research in the last years due to the promising technology it embeds. this appears to be the most sustainable technology for environmental sensing whether it's ab...
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Wireless Sensor Network (WSN) has been a focus for research in the last years due to the promising technology it embeds. this appears to be the most sustainable technology for environmental sensing whether it's about limited or large-scale monitoring, thanks to the ad-hoc wireless links, scalability and ease of implementation. However, main drawbacks are stemming from the limited capacity of network nodes for data storage, computing and accessing. To overcome these limitations, virtualized resources were appended allowing access to increased storage, processing and userfriendly accessibility. this came as a natural development of the common WSN architectures in the trend of modern concepts emerged withthe IoT (Internet of things) technologies proliferation. Despite the increasing usage of cloud-based WSN monitoring systems, there are still issues due to the drawbacks of cloud computing such as latency and storage costs. this paper discusses the improvements made to a cloud-based WSN architecture by adding a layer of computing at the edge of the network, a method that follows the novel model of analysing and acting on IoT data, entitled Fog Computing. Comparative analytics were performed to prove the improvements achieved through edge of the network computing.
this paper explores the integration of augmented reality into robotic manufacturing systems, emphasizing the enhancement of connectivity, real-time data processing, and interactive visual interfaces. Utilizing Hololen...
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ISBN:
(数字)9798350361230
ISBN:
(纸本)9798350361247
this paper explores the integration of augmented reality into robotic manufacturing systems, emphasizing the enhancement of connectivity, real-time data processing, and interactive visual interfaces. Utilizing Hololens 2 headsets equipped with OPC UA clients, the system establishes a direct interface between operators and the digital and physical components of the manufacturing environment. the architecture employs augmented reality to facilitate sophisticated operational control and visualization, ranging from robotic additive manufacturing to complex tasks like robotic sanding and screwing with integrated camera systems. this integration showcases significant advancements in manufacturing processes, allowing operators to engage interactively withthe systems, optimize workflows, and improve overall precision and efficiency in a smart factory setting.
the quality of oil determines the status and life of the devices. However, most Chinese vessels have not equipped with on-line oil quality testing facilities. therefore, a special on-line oil quality monitoring system...
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the quality of oil determines the status and life of the devices. However, most Chinese vessels have not equipped with on-line oil quality testing facilities. therefore, a special on-line oil quality monitoring system for vessels is designed to real-time monitor of oil pollution change. An alarm signal or control signal based on the monitoring results is sent, which supports the purifier automatically and water, particles and gases are removed from the oil to maintain a good oil quality. the system is developed and implemented in the vessel corporation and has a good prospect of application. the application of this system will promote the process of the intelligent device management.
In both metropolitan optical networks (MON) and long haul optical networks (LHON) the signal quality is often influenced by the physical impairments, therefore a proper impairment based routing decision is needed. In ...
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In both metropolitan optical networks (MON) and long haul optical networks (LHON) the signal quality is often influenced by the physical impairments, therefore a proper impairment based routing decision is needed. In this paper we propose new routing and wavelength assignment (RWA) methods where the control plane has influence on the signal power of the Wavelength Division Multiplexed (WDM) channels. Nowadays in nearly all kinds of reconfigurable optical add-drop multiplexers (ROADM) the signal power can be tuned via variable optical attenuators (VOA) from the control plane. We give the exact integer linear programming (ILP) formulation of the method for both single and multilayer networks. In the first case we assume that no signal regeneration is allowed along the path, while in the more complex multilayer case 3R signal regeneration, grooming and wavelength conversion can all be done in the electronic layer. the proposed algorithm can be used in existing WDM optical networks where the nodes support signal power tuning. the algorithm finds the global optimum, if it exists, for a certain network topology, physical constraints and demand set.
the improvement of the control of the hybrid photovoltaic system with a storage battery to increase the power of objects over the limit on consumption from the grid is considered. the aim is to ensure the functioning ...
the improvement of the control of the hybrid photovoltaic system with a storage battery to increase the power of objects over the limit on consumption from the grid is considered. the aim is to ensure the functioning of the system at the deviation of the load schedule from the calculated one and the generation of photovoltaic battery from the forecast value while maintaining the taken limit of the energy storage depth of discharge. the principle of the control has been improved by setting the value of the added power and forming the state of charge graph of the storage battery. the formation of the storage battery state of charge graph withthe correction of the value of the added power according to the deviation of the state of charge from the calculated value with a given step of discreteness in time is proposed. the control algorithm has been changed withthe introduction of additional limitations and the exclusion of correction at separate time intervals. Changes are taken into account in the 24-hour model of energy processes in the system. Also, the error of the storage battery state of charge estimation is taken into account. the simulation results confirm the possibility of providing the accepted depth of the discharge value for the calculated load schedule when photovoltaic battery generation is below the forecast value of up to 30%.
At present, various target detection algorithms are used in detection and classification. It is a problem to improve the accuracy and speed of target detection by using deep learning and neural network model to train ...
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this paper presents a mathematical and dynamic model for a testing platform designed to assess the performances of a wide range of artificial knee joints (prosthetic and robotic devices) based on the analysis of motio...
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ISBN:
(数字)9781728164793
ISBN:
(纸本)9781728164809
this paper presents a mathematical and dynamic model for a testing platform designed to assess the performances of a wide range of artificial knee joints (prosthetic and robotic devices) based on the analysis of motion of lower limbs. Fundamental equation of motion for the testing platform which considers the rolling resistance coefficient is being presented. the angle and distance trajectories were set up to run an inverse dynamics analysis, withthe target trajectory set as a sinusoidal signal. Variables are introduced and used in the modelling and analysis. It can be concluded from the simulation results that the proposed virtual model of the prosthetic knee testing platform is a very useful optimizing method as a dynamic model for control system design with its advantages of simplicity, validity, and accuracy.
the increasing interaction of modern industrial control systems (ICS) to the outside Internet world influences making these systems vulnerable to a wide range of cyber-attacks. Moreover, the utilisation of Commercial-...
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the increasing interaction of modern industrial control systems (ICS) to the outside Internet world influences making these systems vulnerable to a wide range of cyber-attacks. Moreover, the utilisation of Commercial-off-the-Shelf (COTS) products, as well as open communication protocols, made them attractive targets to various threat agents including cyber-criminals, national-state, and cyber-terrorists. Given that, today's ICSs are deriving the most critical national infrastructures. therefore, this raises tremendous needs to secure these systems against cyber-attacks. Intrusion detection technology has been considered as one of the most essential security precautions for ICS networks. It can effectively detect potential cyber-attacks and malicious activities and prevent catastrophic consequences. this paper puts forward a new method to detect malicious activities at the ICS net-works.
Panoramic sensing system has attracted great attention in intelligent vehicle because of the wide range of perception areas. In order to make the spatial direction of each pixel more precise in panoramic image, we pro...
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ISBN:
(数字)9781728164793
ISBN:
(纸本)9781728164809
Panoramic sensing system has attracted great attention in intelligent vehicle because of the wide range of perception areas. In order to make the spatial direction of each pixel more precise in panoramic image, we propose a panoramic image mosaics assisted by LiDAR. Firstly, a fusion system consisting of LiDAR and panoramic camera is built, and the related calibration equipment is elaborately designed for the system considering the sparse point cloud from 16-line LiDAR. Secondly, the center point of calibration plate is utilized to construct the geometry constraint for the extrinsic calibration of dual fisheye cameras, and the rotation matrix of calibration parameters makes the alignment of dual fisheye images. thirdly, in order to offset calibration deviation and the distance between optical centers, the cos(x) smoothing function is introduced to eliminate the splicing marks in final panoramic image. Experimental results show that the proposed method can effectively be used in panoramic image mosaics, and the spatial direction of each pixel in the panoramic image is accurate.
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