Learning OMG's Unified Modelling Language (UML) can have a steep learning curve. It is a General Purpose System Modelling Language composed of several structural and behavioural sublanguages with relatively comple...
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ISBN:
(数字)9781665488105
ISBN:
(纸本)9781665488112
Learning OMG's Unified Modelling Language (UML) can have a steep learning curve. It is a General Purpose System Modelling Language composed of several structural and behavioural sublanguages with relatively complex notations to allow for the specification of several system views. In the course of their learning experience, students frequently have difficulty understanding the semantics of UML models. We argue that the learning experience can be greatly improved if suitable feedback mechanisms (such as open-source lightweight tools that integrate existing simulation tools) are introduced along the incremental try-and-run process. UML naturally offers separation of concerns (thanks to its relatively independent sublanguages), allowing students to understand how to model a software system without the need to understand all of the 14 UML diagrams altogether. This paper describes a simulation environment of UML using and integrating state-of-the-art technology to simulate different UML sublanguages for describing system behaviour, implemented to support the teaching of UML.
Modern wireless communication, radar systems, and the realization of new technologies like 5G and beyond all rely heavily on high-frequency performance. The use of microwave and millimeter-wave techniques (MMWT) could...
Modern wireless communication, radar systems, and the realization of new technologies like 5G and beyond all rely heavily on high-frequency performance. The use of microwave and millimeter-wave techniques (MMWT) could provide revolutionary new uses for vast amounts of data at extremely low latency. High-frequency performance optimization is still a challenging and essential problem. Interference Mitigation, Antenna Design, Signal Processing, and Regulatory Compliance are all considered to be sizeable obstacles towards accomplishing High-Frequency Performance. The motive of the research is to advocate the use of Regulatory Compliance Frequency Band Analysis (RCFBA) for the purpose of figuring out target frequencies in accordance with utility necessities and acting spectrum scanning and evaluation with the intention to assess regulatory constraints and available channels. Maximizing signal energy even as keeping off interference via cautiously choosing and positioning antennas. Enabling higher data throughput, decrease latency, and a wider variety of applications for high-frequency systems by way of easing their adoption and deployment in fields like telecommunications, radar systems, satellite communique, and 5G networks. High-frequency performance can be modelled and evaluated with the help of present day modeling tools, that may then be used to optimize gadget parameters, propagation, and antenna designs. It equips users with the way for thorough simulation evaluation, optimization, and fulfillment in excessive-frequency packages, taking into account the deployment of excessive-frequency structures that healthy the desires of contemporary packages and regulatory standards.
Cloud data centers are a model of distributed systems that provide users with services to share data and information through the Internet. These centers also face challenges due to their popularity among users. With t...
Cloud data centers are a model of distributed systems that provide users with services to share data and information through the Internet. These centers also face challenges due to their popularity among users. With the increase in the number of hosts to respond to users' needs, challenges such as increasing power consumption, service level agreement violation, and time are seen. As a result, it is very important to address these challenges in these centers in order to reduce costs and increase profits. task scheduling for hosts is one of the most effective methods to improve productivity and optimal use of hosts' resources. In this process, with proper allocation, we can prevent hosts from becoming overloaded and increasing energy consumption due to inefficient use of hosts' resources. The proposed solution in this paper is to use multiple goals for the allocation process using the Crow search optimization algorithm. The Crow search optimization algorithm is new, fast, and powerful. As a result, in the proposed method by modeling this algorithm and considering the multi-criteria fitness function based on the requested resources of the tasks and the available resources of the host, we tend to manage resources properly. The simulation results show that the proposed method has a 9% reduction in service quality parameters such as power consumption compared to paper [21] and 15% compared to article [16], 11% execution time compared to paper [21], and 14% compared to the paper [16] and the service level agreement violation has improved by 16% compared to the paper [21] and 8% compared to the paper [16] and has been able to reduce the mentioned parameters.
In recent years hashing methods have attracted considerable attention. The main procedure of manifold hashing methods is to convert the high dimension features into binary codes and then use manifold distance to appro...
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Emerging cable technologies play a vital role in the development of electric power systems (EPS) for wide-body all-electric aircraft (AEA), supporting improved power transmission with lower system mass. Although highe...
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ISBN:
(数字)9798350348538
ISBN:
(纸本)9798350348545
Emerging cable technologies play a vital role in the development of electric power systems (EPS) for wide-body all-electric aircraft (AEA), supporting improved power transmission with lower system mass. Although higher voltage levels contribute to enhanced power density, they also pose unique challenges in aircraft cable design. These challenges include suppressing arcing, handling partial discharge (PD) phenomena, and achieving reliable thermal management. Integrating multilayer multifunctional electrical insulation (MMEI) in aircraft cables offers a promising solution, as it helps reduce cable dimensions and weight. This method requires the selection of advanced materials tailored to specific performance needs. Our earlier studies addressed the modeling and simulation of MMEI-based MVDC power cables tailored to AEA system demands. However, validating the insulation performance and longevity of these designs under real conditions is critical. A thorough assessment of MMEI-configured power cables through experimental testing helps confirm their viability. This work focuses on a prototyping strategy for MVDC cables using various MMEI layer arrangements, highlighting the importance of optimizing production techniques to ensure cable consistency, eliminate faults, and prepare reliable test samples.
Millimeter wave frequencies are one of the promising technologies to support high data rates in 5G wireless communication systems, but short wavelengths due to high frequencies cause signal attenuation and path loss. ...
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Millimeter wave frequencies are one of the promising technologies to support high data rates in 5G wireless communication systems, but short wavelengths due to high frequencies cause signal attenuation and path loss. To compensate for this problem, in this paper, we apply the hybrid beamforming technique and try to track the exact beam angle using the Unscented Kalman filter to obtain the complete beamforming gain. As a result of the simulation, it can be seen that the proposed algorithm exhibits good Mean Square Error (MSE) performance with a moderate level of implementation complexity. However, the computational complexity that arises when hybrid beamforming is applied still remains a problem to be solved. Therefore, in the course of future research, if a deep neural network is applied in terms of beamformer and combiner, it will be able to show a higher level of performance with a lower level of complexity.
This paper present a theoretical model that aims to minimize the capabilities of viruses in public places through engineered electromagnetic fields. Thus, the modeling of antenna based at the infinitesimal dipole is u...
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This paper present a theoretical model that aims to minimize the capabilities of viruses in public places through engineered electromagnetic fields. Thus, the modeling of antenna based at the infinitesimal dipole is used. In addition fields and directivity at the far field region are calculated. This proposal empathizes the fact that the radiated energy will affect the spike protein of viruses. In this manner the functionality of virus as to produce infection would be minimized. simulations of the radiate electric field are presented.
The traditional mobile communication course experiment has the characteristics of large space span and invisible real experimental scene. For students, the knowledge is abstract and the understanding is not deep. To s...
ISBN:
(纸本)9783800758760
The traditional mobile communication course experiment has the characteristics of large space span and invisible real experimental scene. For students, the knowledge is abstract and the understanding is not deep. To solve this problem, this paper designs and implements an experimental system based on the Unity3D engine to design and develop mobile communication. The system uses Unity3d as the development engine, 3ds Max as the modeling tool, uses C# language to write scripts, builds the experimental scene of mobile communication, and can realize the experiment of measuring the antenna radiation pattern. Students can learn experimental principles, perform experimental operations, and record experimental results on this platform through the Internet. The experimental platform built in this paper can enable students to do experiments without the constraints of location and space, and improve the teaching quality of mobile communication courses. At the same time, it provides a reference for everyone to study the virtual simulation experiment of mobile communication.
The Internet of Things (IoT) paradigm is gradually becoming more prevalent through numerous devices and technologies, including sensors, actuators, microcontrollers, cloud-enabled services, and analytics. IoT objects ...
The Internet of Things (IoT) paradigm is gradually becoming more prevalent through numerous devices and technologies, including sensors, actuators, microcontrollers, cloud-enabled services, and analytics. IoT objects gain intelligence by integrating with wireless sensor networks (WSNs), mobile computing and communication, and others. With sensors, smart things can be enabled by monitoring and identifying environmental changes related to motion, temperature, humidity, pressure, light, vibration, etc. To timely keep track of state changes, researchers are considering developing a cyber replicator, denoted as Digital Twin (DT), of real physical systems as a way to visualize, model, and work with complex cyber-physical systems (CPS). In this paper, we first refine the dataset to a format that can be easily used for deep learning (DL) experiments, IoT data pipeline development, data modeling and simulation, data aggregation, etc. We then demonstrate that DT data can be used to determine space occupancy based on the ambient light sensor, which tends to indicate occupancy in particular spaces because the building has smart lighting that will switch off when rooms are unoccupied after a certain time. Given the apparent developments in machine learning technology, it is clear that machine learning-based prediction has the ability to enhance resource utilization and further forecast future events. Particularly, we use a DT-based dataset and Long-Short-Term Memory (LSTM) neural network architecture to forecast the campus building’s internal temperature.
The most important challenge for the next mobile communications network is to afforde the highest data rates with the best quality of service (QoS). This must be done with an ultra-low power consumption and low latenc...
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ISBN:
(纸本)9781665482622
The most important challenge for the next mobile communications network is to afforde the highest data rates with the best quality of service (QoS). This must be done with an ultra-low power consumption and low latency. As we know, Generalized Frequency Division Multiplexing (GFDM) seems to be the best candidate in the fifth's physical layer of 5G mobile networks. This will be underlined over this paper. We will show utility to use GFDM for different schemes dealing with various systems named SISO, SIMO, MISO, MIMO. Improvements of the mentioned parameters as proved by simulation results will be discussed.
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