Al-Habashna, Ala 'aWainer, GabrielAloqaily, Moayad
17页
查看更多>>摘要：Nowadays, mobile applications need the location of the running devices to operate properly. This has increased the interest in indoor localization. Furthermore, the ability to sense mobile devices in indoor environments opens the door for building occupancy-count estimation. Studies have shown that occupant's detection and building occupancy-count estimation can be utilized to improve the efficiency of building operation and management. This research introduces new models to study the performance of such indoor localization and building occupancy-count estimation using the available technological advances in 5G Ultra-Dense Networks (UDNs). We propose an algorithm to collect the Received Signal Strength Indicator (RSSI) from User Equipments (UEs) and use it to build a fingerprinting database. We then use Machine Learning (ML) to estimate the location of the UEs in buildings from their RSSI values. Detecting users in the building is treated as a binary-classification problem. We then use various ML algorithms to build models for indoor occupancy-count estimation. Finally, the localization of users is used to estimate occupancy in specific sections of the building. The simulation results show that UDNs can provide accurate indoor localization, occupancy-count estimation in a building and in parts within the building.
查看更多>>摘要：Nickel-based superalloys are the constituent materials of critical components of aero engines. Abrasive belt grinding is an effective method for the precision machining of such difficult-to machine materials. However, the wear of the abrasive belt greatly affects the quality and integrity of the machined surface. In this study, a physical simulator of abrasive belt grinding was used to carry out diamond belt grinding experiments. The wear behavior of abrasive belts and the shape of debris at different temperatures were mainly investigated. In addition, a threedimensional finite element model of single abrasive grain grinding was established to analyze the formation of debris. The variations of abrasive belt wear and debris morphology with temperature within the experimental temperature range were obtained. There are four types of wear behavior of diamond abrasive belts: grain flattening, grain shed, dependency blockage, and adhesion blockage. The self-sharpening of the abrasive belt plays an important role in improving the quality of the machined surface. The finite element model accurately simulates the shape of debris at different temperatures and the shape of debris changes apparently with temperature. The critical temperature for the formation of good surface quality is obtained. The research results provide guidance for the selection of abrasive belt grinding process parameters.
Manzoor, AwaisJudge, Malik AliAhmed, Fahimul Islam, Saif...
19页
查看更多>>摘要：Appliance scheduling on the user's defined preferences plays a pivotal role in smart home energy management systems. In this context, energy management controllers are largely used to satisfy the users' demand preferences within their financial budget constraints. This work proposes a robust technique based on demand-side energy management for efficiently monitoring and controlling the domestic loads. A nature-inspired crescive consumer satisfaction algorithm (NCSA) is proposed for the optimal scheduling pattern based on time and device preferences. The proposed algorithm maximizes user satisfaction at the preset user budget by producing optimum appliance scheduling patterns. It considers household appliances input data such as time of use, power ratings, and the absolute maximum satisfaction for optimal scheduling. The proposed algorithm is evaluated on three budget schemes, and the simulation results reveal that the proposed algorithm achieves a better satisfaction index at a lower cost per unit satisfaction. Results also show that the proposed algorithm has a good convergence rate and is generalizable to any random budget scenario.
查看更多>>摘要：In this study, we propose adaptive control approaches based on optimization for a two-wheeled mobile robot. The mathematical model of the self-balancing vehicle based on the inverted pendulum principle, is derived from the Lagrange method and the vehicle model is simulated within MATLAB/Simulink environment. Five different optimization-based controller models (Model 1-5) are developed based on common control methods, which are the Pole Placement Design Method, PID, and LQR. Besides the stability control of the robot, speed control and trajectory tracking control are also provided with these models. While improving the optimizationbased controller models, the CSA, an artificial immune optimization methods, is adapted for use with the system. The benefits of the study are given as follows: 1) The balancing control and trajectory tracking control performance of the two-wheeled vehicle is improved using the proposed optimization-based control approach; 2) A comprehensive study is introduced with different control models based on Pole Placement Design Method, PID, and LQR Method; 3) Since parameter tuning of multiple PID controllers is challenging for a two-wheeled vehicle constructed by using the inverted pendulum principle, one of the proposed control models is developed using multiple PIDs. To alleviate the difficulties of parameter tuning for multiple PIDs, the CSA method is adapted for a self-balancing two-wheeled vehicle for the first time; 4) To exhibit the optimization effect of the CSA, the simulation results are compared with five other optimization methods, namely PSO, ABC, DE, GoldSa-II, and CS; 5) The effectiveness of the proposed optimization-based control approaches and optimization method are demonstrated through analyses and simulation studies. In this concept, it has been also analyzed effects of the external disturbances and uncertain parameters on the proposed control method.
查看更多>>摘要：This work describes different evacuation scenarios and corresponding behaviors using a multi agent system. During the simulations there are multiple variations of the parameters, such as: the number of participating agents, the number of exits, the percentage of agents that know where the exits are, the layout where the experiments take place, and the behavior adopted by the agents. The study focuses on performing an in-depth investigation of the evacuation results from the perspective of collaborative and non-collaborative behaviors, analyzes how these two types of agents impact each other in such situations, and how the overall system utility depends on the distribution of the two populations.
查看更多>>摘要：A deployment of the Dense Wavelength Division Multiplexing (DWDM) in long-haul and metropolitan networks is becoming a reality, its extensive operation is also expected in future next-generation passive optical networks in a short time. This paper is focused on the DWDM technique and its effective utilization in real optical systems and networks. Within this context, an attention is paid to the Four Wave Mixing (FWM) effect that presents the most prominent nonlinearity that can limit the available transmission capacity in the given optical DWDM system. A realized simulation model of the 15-channel DWDM system that can exactly analyze the FWM influence on transmitted wavelength channels in the optical transmission path is presented. Based on executed performance analyses of the FWM influence, possibilities for selection of wavelength channels suitable for practical utilization in the DWDM communication system are introduced.
查看更多>>摘要：This research aims to predict and manage material temperatures on complex curved surface structures during automated fiber placement (AFP). A thermal analysis model is developed by incorporating the information of path points as well as the heating time into the radiative heat transfer model. In it, the heating time is determined by the layup speed which is formulated using the S-shaped speed forward planning method. Finally, the thermal analysis algorithm is inte-grated into a three-dimensional (3D) finite element (FE) model to predict and regulate material temperatures on complex curved structures. In this paper, the thermal analysis method is exemplarily applied to a C-beam. The predicted material temperature under the condition of the constant power is validated by the AFP experiments. A good agreement between the temperature-predicted value and the experimental results is observed. Moreover, the power design method based on laying temperature analysis is proposed to manage the material temperatures within the optimal laying specification.
NSTL
Elsevier