Engineering Commons^™

Quantization Of Fractional Constrained Systems With Wkb Approximation, Ola A. Jarabah

Applied Mathematics & Information Sciences

In this paper the constrained systems with two primary first class constraints are studied using fractional Lagrangian, after that we find the fractional Hamiltonian and the corresponding Hamilton Jacobi equation. Using separation of variables technique, we can find the action function S this function helps us to formulate the wave function which describe the behavior of our systems also from the action function S we can find the equations of motion and the corresponding momenta in fractional form. This work is illustrated using one example.

Applications Of The Ara-Residual Power Series Technique To Physical Phenomena, Aliaa Burqan

Applied Mathematics & Information Sciences

In this paper, a new analytical method called the ARA-Residual power series method (ARA- RPSM) is implemented to solve some fractional physical equations. The methodology of the proposed method based on applying the ARA-transform to the given fractional differential equations, followed by the creation of approximate series solutions using Taylor’s expansion. Then the series solution is transformed using the inverse of the ARA-transform to get the solution in the original space. Accuracy, effectiveness, and validity of the suggested method are demonstrated through the discussion of three attractive applications. The solution obtained using ARA-RPSM demonstrates good agreement when compared to the …

Generalization Of Renyi’S Entropy And Its Application In Source Coding, Ashiq Hussain Bhat, Niyamat Ali Siddiqui, Ismail A Mageed, Shawkat Alkhazaleh, Vidyanand Rabi Das, M. A. K Baig

Applied Mathematics & Information Sciences

In this paper, we introduce a new generalization of Renyis entropy β(P) and the most important feature of this generalized entropy Rαβ (P) is that it derives most important entropies that are well known and influence information theory and applied mathematics. Some significant properties of Rαβ (P) has been undertaken in this article. In addition, we introduce a new generalized exponentiated mean codeword length Lβα (P) in this article then determine how Rβα (P) and Lβα (P) are related in terms of source coding theorem.

An Analytical Framework For Photonic Storage And Retrieval: Implications For Quantum Optical Networks, Billie V. Deluca

Theses and Dissertations

Quantum information and communication is the next revolution in information technology. However, communication through quantum networks will require the ability to transmit, store, and interact with photonic quantum bits (qubits). The focus of this dissertation is a theoretical description of a promising technology for storage of photonic states employing electromagnetically induced transparency (EIT). A general semiclassical model for EIT photonic storage will be developed, a key capability required for understanding the effect of storage that is independent of the photonic state being stored. This dissertation demonstrates the capability of this model to predict light pulses retrieved from EIT storage as …

Modeling The Moisture Content And Drying Rate Of Zucchini (Cucurbita Pepo L.) In A Solar Hybrid Dryer Using Ann And Anfis Methods, Halil Nusret Bulus, Aytac Moralar, Soner Celen

The Philippine Agricultural Scientist

Estimating product drying kinetics is critical to obtain the best drying process without compromising product quality and necessitates the development of numerical drying models. This research aims to compare the prediction models developed using artificial neural network (ANN) and adaptive network-based fuzzy inference system (ANFIS), two popular machine learning approaches in the recent years. Zucchini slices were chosen as samples and dried in a solar-assisted microwave belt dryer at 0.245 m/min belt speed and microwave powers of 0.7, 1, and 1.4 kW. On the data set obtained by computing the moisture content and drying rate values, prediction models were developed …

When Routing Meets Recommendation: Solving Dynamic Order Recommendations Problem In Peer-To-Peer Logistics Platforms, Zhiqin Zhang, Waldy Joe, Yuyang Er, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Peer-to-Peer (P2P) logistics platforms, unlike traditional last-mile logistics providers, do not have dedicated delivery resources (both vehicles and drivers). Thus, the efficiency of such operating model lies in the successful matching of demand and supply, i.e., how to match the delivery tasks with suitable drivers that will result in successful assignment and completion of the tasks. We consider a Same-Day Delivery Problem (SDDP) involving a P2P logistics platform where new orders arrive dynamically and the platform operator needs to generate a list of recommended orders to the crowdsourced drivers. We formulate this problem as a Dynamic Order Recommendations Problem (DORP). …

A Study On Rapidly Exploring Random Tree Algorithms For Robot Path Planning, Sahil Sharma

Master's Theses

Robot path planning is a critical feature of autonomous systems. Rapidly-exploring Random Trees (RRT) is a path planning technique that randomly samples the robot configuration space to find a path between the start and end point. This thesis studies and compares the performance of four important RRT algorithms, namely, the original RRT, the optimal RRT (also termed RRT*), RRT*-Smart, and Informed RRT* for six different environments. The performance measures include the final path length (which is also the shortest path length found by each algorithm), time to find the first path, run time (of 1000 iterations) for each algorithm, total …

Advanced Traffic Video Analytics For Robust Traffic Accident Detection, Hadi Ghahremannezhad

Dissertations

Automatic traffic accident detection is an important task in traffic video analysis due to its key applications in developing intelligent transportation systems. Reducing the time delay between the occurrence of an accident and the dispatch of the first responders to the scene may help lower the mortality rate and save lives. Since 1980, many approaches have been presented for the automatic detection of incidents in traffic videos. In this dissertation, some challenging problems for accident detection in traffic videos are discussed and a new framework is presented in order to automatically detect single-vehicle and intersection traffic accidents in real-time.

First, …

Toward Smart And Efficient Scientific Data Management, Jinzhen Wang

Dissertations

Scientific research generates vast amounts of data, and the scale of data has significantly increased with advancements in scientific applications. To manage this data effectively, lossy data compression techniques are necessary to reduce storage and transmission costs. Nevertheless, the use of lossy compression introduces uncertainties related to its performance. This dissertation aims to answer key questions surrounding lossy data compression, such as how the performance changes, how much reduction can be achieved, and how to optimize these techniques for modern scientific data management workflows.

One of the major challenges in adopting lossy compression techniques is the trade-off between data accuracy …

Challenges In Optimization For The Performance On Sustainability Dimensions In Reverse Logistics Social Responsibility, Sumarsono Sudarto, Katsuhiko Takahashi, Mochammad Dewo

Makara Journal of Technology

Reverse logistics social responsibility is preferred as the most acceptable solution for addressing the challenges in stakeholders’ debate regarding social responsibility in supply chains because it involves as many actors as possible in the supply chain to perform social responsibility to achieve sustainability. This paper explores the challenges in achieving optimal policies in sustainability dimensions for collection and recycling facilities in reverse logistics. Sustainability dimensions include economic, environmental, and social aspects. The reverse logistics is modeled on System Dynamics, and a simplified statistical analysis using a contour chart is employed in numerical experiments. Results show a narrow area of optimal …

An Animated Introduction To Digital Logic Design, John D. Carpinelli

Open and Affordable Textbooks

There is a newer edition of this textbook available here.

This book is designed for use in an introductory course on digital logic design, typically offered in computer engineering, electrical engineering, computer science, and other related programs. Such a course is usually offered at the sophomore level. This book makes extensive use of animation to illustrate the flow of data within a digital system and to step through some of the procedures used to design and optimize digital circuits.

All of the animations for this book can be found here: https://digitalcommons.njit.edu/dld-animations/

Short-Term Vehicle Speed Prediction With Spatiotemporal Convolution Fused With Variational Modal Decomposition, Kai Zhang, Haipeng Lu, Ying Han, Lingyun Zhang, Yujie Ding

Journal of System Simulation

Abstract: Accurate short-term vehicle speed prediction helps to resolve city traffic congestion problems. Focusing on the defect that CNN cannot process non-Euclidean geometric data, GCN and BiLSTM are combined to fully process the spatiotemporal characteristics of road network information, in which the advantages of GCN integrating global features and the ability of BiLSTM to extract temporal features are considered. In order to reduce the interference of noise to the data, variational modal decomposition (VMD) is introduced and short-term vehicle speed prediction model based on VMD-GCN-BiLSTM (VGBLSTM) is proposed . Simulation results show that the prediction accuracy of VGBLSTM model is …

Two New Maneuvering Target Simulation Methods, Yingxuan Li, Zhongxun Wang, Yunlong Dong

Journal of System Simulation

Abstract: To verify the performance of maneuvering target tracking algorithm, it's necessary to build a complex motion simulation model similar to the actual target motion situation. A simulation model of maneuvering target with controllable time correlation coefficient is constructed based on the idea of Singer model, and the suitability of Singer's maneuvering target tracking algorithm is verified when the time correlation coefficient does not match. Aiming at the problem that the traditional coordinated turning model only considers the change of normal acceleration, and the tangential acceleration is always assumed to be 0, which is not highly consistent with the actual …

Lidar Slam Mapping Method Adapted To Environmental Spatial Changes, Songming Jiao, Xin Yao, Hui Ding, Yufei Zhong

Journal of System Simulation

Abstract: In the environment with obvious changes in space size, aiming at the drift and other problems of the existing algorithm, Adp-lio-sam mapping method is proposed to adapt to the environment space changes, and improve the generality of lio-sam algorithm. Point cloud dewarping method is improved, and Kalman filter algorithm is used to carry out the motion compensation data by fusing lidar interframe pose interpolation and IMU interpolation. Fuzzy algorithm is used to adapt different points filtering thresholds for different spatial environments and the constraints of loop closure detection are optimized. Experimental results show that, compared with the existing …

Research On Dynamic Simulation Technology For Satellite Internet, Xiaofeng Wang, Taiqian Shen, Yuan Liu

Journal of System Simulation

Abstract: Network simulation is an important support for new technology verification and security technology evaluation in the rolling construction of satellite internet. A dynamic simulation architecture which based on cloud platform is proposed to address the highly time-varying characteristics of satellite internet. An algorithm of distributed simulation technology of satellite links, which improves the synchronization of accuracy of dynamic simulation of links, is designed to tackle the time-varying of satellite links. Aiming at the topology changes in the process of satellites motion, an algorithm of realtime topology simulation based on time splice is raised, which realizes real-time and accurate changes …

Target Search Planning And Algorithm For Monitoring Of Polar Disaster Areas, Fei Ding, Meinan Zhang, Hengheng Zhuang, Hairong Ma

Journal of System Simulation

Abstract: Aiming at improving the ability of safe navigation route planning and risk assessment of ships in polar waters, a target search model and method based on clustering and efficient indexing of monitoring center are proposed. By constructing a disaster monitoring scenario based on the current navigation area of the ship, a virtual electronic fence is introduced to define the monitoring area. Spectral clustering algorithm is used to divide the risk level of the fence area, extract high-risk areas, and optimize the generation of target search scenarios; Efficient determination of the matching relationship between the target vessel and the fence …

Modeling And Analysis Of Metro Emergency Decision Based On Logical Game Probability Petri Net, Zhe Yan, Wei Liu, Yuyue Du

Journal of System Simulation

Abstract: In order to solve the problem that logical Petri net can not describe dynamic game process well, logical game probabilistic Petri net is proposed. The four elements of the game are integrated into the logical Petri net, and the players of the game are defined as an attribute of Token, for which the strategy set and utility function are defined, and the information database is introduced. Probability change and vector are introduced to represent the transformation relationship of empirical probability in the process of game, and fuzzy theory is introduced on the basis of Bayes formula to solve the …

Two-Stage Robust Optimization-Based Economic Dispatch Of Virtual Power Plants Considering Cogeneration, Jinpeng Liu, Peng Jinchun, Jiaming Deng, Hushihan Liu

Journal of System Simulation

Abstract: With continuous enrichment of resources of the supply side and flexible and changeable load of the demand side of energy system to effectively cope with the complexity of system operation optimization and resource allocation, a robust optimization model of virtual power plant considering the interaction between electric and thermal units is proposed. Considering the uncertainty of renewable energy and load in virtual power plant, a two-stage robust optimization model of min-max-min structure is established, and the optimal operation economy dispatching scheme in the worst scenario is obtained. Robustness coefficient is introduced to flexibly adjust the conservativeness of the optimization …

Military Metaverse: Key Technologies, Potential Applications And Future Directions, Zhao Zhang, Yujie Guo, Xiaoning Zhao, Baoliang Sun

Journal of System Simulation

Abstract: Since its emergence, the concept of metaverse has been applied to many fields. At present, the transformation of military intelligence, digitalization and information technology is advancing in an allround way. The military enabled by metaverse technology will accelerate the process of military reform in the new era. To explore the potential application of metaverse in the military field, this paper first introduces several key technologies of metaverse and their functions in the military field, and then discusses some potential directions for the application of metaverse in weapon development and support, training and teaching of officers and soldiers, tactical command …

A Framework On Equipment Digital Twin Credibility Assessment, Han Lu, Lin Zhang, Kunyu Wang, Zejun Huang

Journal of System Simulation

Abstract: A key bottleneck in the large-scale application of equipment digital twin is the lack of systematic and effective credibility assessment methods. This paper analyzes the dynamic evolution, virtual-real interactivity and other key features of the equipment digital twin. A credibility assessment framework for the equipment digital twin is proposed, including the credibility connotation of the digital twin, a multi-dimensional and multi-level credibility assessment index system and a credibility assessment methodology. The whole assessment process is illustrated with the robotic arm digital twin as an example, which can provide directional guidance for the assessment and construction of the digital twin.

Energy Management Strategy Of Multi-Agent Microgrid Based On Q-Learning Algorithm, Miaomiao Ma, Lipeng Dong, Xiangjie Liu

Journal of System Simulation

Abstract: This paper proposes a multi-agent microgrid energy management method for the energy trading and benefit distribution in the microgrid power market based on the Q-learning algorithm. Based on the electricity market, microgrid system and transaction process are constructed to clarify the responsibilities of each unit. The mathematical models of distributed power generations are established by considering the changes in wind speed, light intensity and ambient temperature, as well as the upper and lower limit constraints of the output power of each power generation unit. On this basis, the distributed power generations and user loads are regarded as agents, and …

Modeling And System Realization Of Assembly Robot Based On Digital Twin, Jian Xu, Xin Song, Xiuping Liu, Bo Chen

Journal of System Simulation

Abstract: Aiming at the problems of time-consuming, labor-intensive and poor accuracy in programming of complex operations of industrial assembly robots, an online programming method for robots based on digital twin is proposed. From the four dimensions of geometry, contact dynamics, behavior and rules, the faithful mapping of the robot from real to virtual space is realized. The verification of multi-part assembly trajectory planning program, real-time synchronous operation and state monitoring are realized. An assembly robot modeling and online programming system based on digital twin is designed and built. A six-axis industrial robot cell is taken as an example to verify …

Surface Defect Detection Of Power Equipment Using Adaptive Receptive Field Network, Hao Yu, Jinxia Jiang, Xiaohan Lai, Feng Mei

Journal of System Simulation

Abstract: For the detection of defects such as icing, rust, and contamination of power equipment in substations, a novel adaptive receptive field network (ARFN) is proposed, in which an adaptive receptive field module (ARFM) combined with the attention mechanism can effectively fuse multi-scale features. Considering the small sample learning attribute of defect detection, a power equipment surface defect simulation data synthesis method based on real texture is also proposed. The experimental results on the simulation dataset show that the network has high detection accuracy for surface defects across devices, while having advantages such as small size and fast operation speed.

Application Of 3d Scanned Big Data Of Large-Scale Cultural Heritage Objects Based On Noise-Robust Transparent Visualization, Tanaka Satoshi

Journal of System Simulation

Abstract: Three-dimensional (3D) scanning technology has undergone remarkable developments in recent years. Data acquired by 3D scanning have the form of 3D point clouds. The 3D scanned point clouds have data sizes that can be considered big data. They also contain measurement noise inherent in measurement data. These properties of 3D scanned point clouds make many traditional CG/visualization techniques difficult. This paper reviewed our recent achievements in developing varieties of high-quality visualizations suitable for the visual analysis of 3D scanned point clouds. We demonstrated the effectiveness of the method by applying the visualizations to various cultural heritage objects. The main …

Research On Modeling And Optimization Method Of Torpedo Anti-Jamming Attack Based On Game Confrontation, Liqiang Guo, Ma Liang, Zhang Hui, Yang Jing, Fan Xueman, Cheng Zhuo

Journal of System Simulation

Abstract: Aiming at the strong adversarial characteristics of underwater attack and defense operations and the time-consuming problem of traditional Monte Carlo method, a model of torpedo anti-jamming attack based on game confrontation is designed and an improved genetic simulated annealing algorithm for optimal model is proposed. Through the research method of simulation analysis, on the basis of the models of two torpedo salvo attack and submarine acoustic resistance defense, the attack-defense confrontation model is constructed according to the Nash equilibrium theory under zero-sum game. The initial population, fitness function, and evolutionary strategy of GA are improved by the ideas of …

Metaverse Concept And Its Military Application, Tan Zhao, Lin Wu, Jiuyang Tao, Shuai Li

Journal of System Simulation

Abstract: Metaverse is a concept describing the fusion and interaction between virtual and real, which has become popular in business and academia since 2021. The aim is to study possible applications of metaverse in military. We sort out the definition, characteristics and development of this concept. Then we analyze the necessity of using the concept of military metaverse from the expansion of modeling and simulation(M&S) and live-virtual-constructive(LVC) simulation. And then we study the possible improvements of the military metaverse from the actual needs of military training, operation and information resource management. We sort out the prototype products of the military …

Research And Application Progress Of Tracking Registration Methods In Ar Assembly, Wei Fang, Shuhong Xu, Lei Han, Zhangwenchi Li

Journal of System Simulation

Abstract: Augmented reality (AR) can superimpose virtual auxiliary information in appropriate positions at the actual work site to achieve intelligent assembly guidance of "what you see is what you operate", alleviating the difficulties for workers to recognize drawings in traditional drawing-based assembly and the problems of misassembly, missing parts and so on. Stable tracking registration in the assembly site environment is the basis for achieving the fusion of virtual and actual scene in augmented assembly visual guidance, and also a key issue in the practical application and deployment of existing augmented assembly. In view of the research and application results …

Detection Of False Data Injection Attack In Smart Grid Based On Improved Ukf, Lisheng Wei, Qian Zhang

Journal of System Simulation

Abstract: Due to the disruption and threat of false data injection attack (FDIA) on grid cyber-physical systems (GCPS), and to address the problem that false data is difficult to be detected, a method for smart grid false data detection based on weighted least squares (WLS) and improved unscented Kalman filter (UKF) is proposed. FDIA is modeled mathematically, and the residual analysis shows that the FDIA is difficult to be detected. In the case of the injection attack vector, the improved UKF is applied to state estimation. Meanwhile, the state estimation of the system is performed by the WLS, which is …

Modeling And Identification Of Wind Power Generation System Based On Hammerstein Model, Feng Li, Tian Zheng, Wei Song

Journal of System Simulation

Abstract: A modeling and identification method of wind power generation system based on Hammerstein model is studied to establish high-precision model of wind power generation system. Firstly, 3σ criterion is used to propose the abnormal data, and the eliminated data is used to train the nominal model of the wind power generation system. Furthermore, the Hammerstein model is used to establish the data-driven model of wind power generation system, and the combined signal composed of separable signal and actual wind speed is used as the input of the Hammerstein model. The output of the separable signal through the nominal model …

Simulation Of Pedestrian Emergency Evacuation Considering Terrorist Attack Mode, Shuchao Cao, Jialong Qian

Journal of System Simulation

Abstract: To investigate pedestrian evacuation under the sudden terrorist attack, an evacuation model is established for pedestrians taking into account the terrorist attack mode. The terrorist can take two strategies including attacking the nearest pedestrian and attacking the crowd in the model. The evacuation time, casualties and location distribution in various scenarios under different attack modes are analyzed. The results show that pedestrians need to maintain a proper escape intention when avoiding the terrorist. The closer the initial position of the terrorists to the exit, the greater the number of casualties and the longer the evacuation time. The effect of …