Computer Engineering Commons^™

Uav Path Planning Based On Improved Harris Hawk Algorithm And B-Spline Curve, Zhifeng Huang, Yuanhua Liu

Journal of System Simulation

Abstract: Aiming at the global path planning problem of unmanned aerial vehicles (UAVs) in dynamic environments, this paper proposes an improved Harris Hawk optimization algorithm. To address the problem of insufficient search performance in the later stage of the algorithm, an adaptive chaos and core population dynamic partitioning strategy is proposed to improve the searchability of the algorithm in the later stage. The Harris Hawk update formula is modified, and the golden sine strategy is introduced to improve the search efficiency of the algorithm. Then, an adaptive dynamic cloud optimal solution perturbation strategy is integrated to improve the ability of …

Optimal Scheduling Of Vehicle-Network Interaction Based On Interval Stackelberg Game Of Virtual Power Plant, Weiliang Liu, Qianwen Yan, Qiliang Zhang, Shuai Liu, Changliang Liu, Jiayao Kang, Xin Wang

Journal of System Simulation

Abstract: To better exploit the regulation potential of electric vehicles (EVs), resolve the conflicts of interest among the stakeholders in vehicle-to-grid (V2G) interactions, and overcome the uncertainty of distributed energy sources and load, this paper proposes a two-level optimization scheduling model for V2G interactions based on the interval Stackelberg game of a virtual power plant (VPP). The VPP aggregator is considered as the upper level, and the EV users as the lower level. The upper level model uses interval numbers to describe the uncertainty of sources and loads, with the aim of minimizing the operating cost of the VPP aggregator, …

Maglev Ball Control Algorithm Based On Levant Differentiator, Zhenli Zhang, Yongzhuan Wang, Yao Qin, Jie Yang

Journal of System Simulation

Abstract: To solve the problem of unsatisfactory control effect of permanent magnet electromagnetic hybrid suspension system caused by signal mutation and noise interference, the control method ILevant- PID, the combination of an improved Levant differentiator and PID, is proposed. The proposed method combines the strong adaptability of PID control and the robust characteristic of Levant differentiator on input noise to solve the chattering problem of the system output. The simulated anneal-particle swarm optimization is utilized to solve the constraints of the ILevant-PID controller, such as multiple parameters and strong correlation. The simulation results show that compared with the traditional PID …

Real-Time Scheduling Method For Dynamic Flexible Job Shop Scheduling, Quan Jiang, Jingxuan Wei

Journal of System Simulation

Abstract: A multi-objective dynamic flexible job shop scheduling problem model with machine breakdown and random jobs arrival is constructed to address the interference of dynamic events in manufacturing processing on the scheduling scheme, and a real-time scheduling method with multiobjective proximal policy optimization (MPPO) algorithm is proposed. The MPPO algorithm trains two agents, routing agent (RA) and sequencing agent (SA), for real-time scheduling and real-time processing of dynamic events. It employs a linear combination of weight vectors and reward vectors as reward signals and stores the agents' parameters for each weight vector to optimize multiple objectives. The required state information, …

Path Planning For Mobile Robot Based On Angle Search, Yaru Wang, Dexin Yao, Zengli Liu, Yi Peng

Journal of System Simulation

Abstract: The angle search algorithm for angle-controlled robots is proposed to increase the path search speed and optimize the path length. The algorithm effectively finds a path in static surroundings by performing an efficient search in a specific dimensional range based on the position of the robot and the target point. Firstly, search angles are predetermined according to the characteristics of the environment in the grid map. Then, the estimated angle of the robot's surrounding grid is computed. Finally, a new extension point is chosen by comparing the estimated angle to the search angle, demonstrating the usefulness and viability of …

Digital Application Of Equipment System Test And Evaluation Based On Digital Twin And Parallel Experiment Theory, Hongjie Dang, Wenguang Yu, Huahui Yang

Journal of System Simulation

Abstract: With the development of equipment systematization, traditional test with real equipment can not meet the requirements of Test and Evaluation(T&E), especially for complex equipment. As the main digital methods in current, digital twins and parallel experiments can support the digital application in the field of equipment Test and Evaluation. This paper makes a comparative analysis of the two digital technology means, extracts their technical connotation and characteristics, and then integrates them to explore the application mode, application time and application occasions in the field of equipment T&E. Taking the satellite for example, by constructing the digital architecture of equipment …

Interaction Between Virus Transmission Variation And Population Crossover Activity And Diffusion Model, Lei Yu, Xichou Zhu, Huaming Liao, Jiafeng Guo, Xueqi Cheng

Journal of System Simulation

Abstract: In view of the current high incidence of human-to-human infectious viruses, a multi-agent simulation and deduction model was proposed and designed based on the random characteristics of virus transmission variation and the influence of population crossover activity. The external pathogenicity and infectious characteristics of the virus and the external activities and immune characteristics of the human were quantified, and the interdependence and confrontation process between the virus and the human were modeled. The development trends and statistical characteristics of a large number of viruses and humans were deduced through the model. The experimental analysis reveals that the randomness of …

Insight Into Complexity: Novel Information Theoretic Analysis Of Spatiotemporal Interactions, Humayra Tasnim

Computer Science ETDs

Complex systems are comprised of different components. Interactions and associations among these components define the functionality of the system. For example, T cells must directly interact with virally infected cells to kill them. This research characterizes the most relevant components of complex systems by analyzing interacting relationships using information theoretic measures. It emphasizes the importance of spatial and temporal dynamics, which occur when components share spatial proximities or temporal sequences. Novel information theoretic analyses are proposed for quantifying the degree of association among system components, which is key to defining the spatiotemporal dynamics. One focus of this work is the …

Decision-Making Considering Power Consumption And Preference For New Energy Under Dual-Credit Policy, Fang Li, Tianhao Dong

Journal of System Simulation

Abstract: To explore the production decision-making problem of the electrification transformation in the domestic automobile industry faced by automobile manufacturers, different decision-making models under two production scenarios are constructed for the secondary supply chain composed of manufacturers and retailers under the background of a dual-credit policy. The electric energy consumption of new energy vehicles and consumers' preference for new energy are introduced. The Stackelberg game is applied to obtain the optimal production decision and income analysis of each member in the supply chain under different decision modes in different production scenarios. The results show that the in-depth implementation of the …

Vysion Software, Isaias Hernandez-Dominguez Jr, Chander Luderman Miller

2024 Symposium

Vision loss presents significant challenges in daily life. Existing solutions for blind and visually impaired individuals are often limited in functionality, expensive, or complex to use. Vysion Software addresses this gap by developing a user-friendly, all-in-one AI companion app that provides features including text summarization, real-time audio descriptions, and AI-enhanced navigation. This project details the development plan, initial functionalities, and future vision for Vysion Software.

Welcome To Cheney App, Timothy Nelson, Nolan Posey, Tanner Stephenson, Daniel Palmer, Matthew Matriciano

2024 Symposium

Welcome to Cheney is a non-profit organization committed to fostering communication, connection, and action within the city of Cheney. Their primary purpose is to provide timely and accurate information to the residents of Cheney. Welcome to Cheney has tried utilizing other forms of social media such as Facebook and Instagram to share information, but their presence is being overshadowed amidst the noise on those platforms. Therefore, the intention of this project is to develop a mobile app with the sole purpose of being a reliable means of sharing important information with the residents of Cheney.

The information being shared on …

The Effects Of Using Artificial Intelligence Techniques In The Security Work System, Abdalla Alnaqbi

Journal of Police and Legal Sciences

The goal of the research is to shed light on the techniques of artificial intelligence in the work of experts and groups, and to achieve this goal by seeking to search for the concept of artificial intelligence, as well as the classification of artificial intelligence, and clarifying the role of artificial intelligence in organizations and bodies, and it also reached the definition of the positive and cooperative effects of artificial intelligence in... the job. And the. The researcher followed the descriptive model of analysis in order to achieve the objectives of the study, and the study reached one of the …

Criminal Confrontation Of The Crime Committed Via An Automated Robot In Libyan And Emirati Law, . Mashaallah Alzwae

Journal of Police and Legal Sciences

Today's world is witnessing an important development in telecommunications, information technology and computers that has resulted in what are known as automated robots as one of the most important applications of artificial intelligence and has increased reliance on them in various areas of life for the importance of the services they provide to humanity. However, such robots may be used to commit an offence and the study therefore aims to determine the effectiveness of legal texts in the face of the offence from which they may occur. The study required an analytical and comparative approach by analysing and comparing the …

“The Role Of Modern Technologies In Effective Management Of Crowds”, Ayman El-Din

Journal of Police and Legal Sciences

Scientists started to think about the importance of developing crowd management methods, because of human gatherings - in different countries - have been accompanied by lots of disasters that have killed many and resulted in many injuries. Gathering crowd data is vital in the process of managing crowds, as crowd information contributes significantly to planning and decision-making processes and increasing communication between parties interacting with them, and data collected includes "the number of crowd members, crowd density, and problems that may occur”. Technology and technical awareness play an important role in “collecting, organizing, analyzing” real-time collected data of crowd. This …

Authenticated Diagnosing Of Covid-19 Using Deep Learning-Based Ct Image Encryption Approach, Mohamed Attia Abdelgwad, Amira Hassan Abed, Mahmoud Bahloul

Future Computing and Informatics Journal

Researchers are motivated to use artificial intelligence in biometrics, medical imaging encryption, as well as cybersecurity due to its rapid progress. An encryption method for CT scans—which are used to diagnose COVID-19 disease—is proposed in this study. The suggested encryption method creates a connection among an individual's face picture and CT image to increase confidentiality. The simple CT picture is first enhanced with a host image. An encryption key is multiplied by the final result. This key is produced by applying a Convolutional Neural Network (CNN) to recognize characteristics from people's face photographs. Additionally, a straightforward CNN with three convolutional …

Segmentation And Classification Of Left Ventricular Abnormalities In Cardiac Mri Using Initial Point Prediction Based Deformable Model, Md. Asadur Rahman, Md. Al Noman, A. B. M. Aowlad Hossain

Future Computing and Informatics Journal

The shape of the left ventricle (LV) of a cardiac magnetic resonance image (CMRI) helps physicians to diagnose different cardiac abnormalities. The similarity of pixel intensity and shape of LV with neighbor tissues, the imprecision of boundaries, and the presence of noise are the challenges to accurate segmentation of LV. This paper contributes to the successful implementation of an automatic edge contouring method to segment LV area from CMRI and detect whether the ventricle belongs to abnormalities. This method proposes the regression-based artificial neural network to predict the possible initial position of the deformable edge-based active contour model for precise …

Microservices Architecture: Evolution, Realizing Benefits, And Addressing Challenges In The Modern Software Era -A Systematic Literature Review, Linah M. Elnaghi, Ramadan Moawad

Future Computing and Informatics Journal

This paper explores the world of modern software development and the rising popularity of microservices architecture. Microservices, a modern approach, brings benefits like scalability, Reusability, and fault tolerance. challenging traditional monolithic approaches.This survey involves a detailed comparison, unraveling the motivations behind the wide usage of microservices. This paper extracts insights from a diverse range of studies, presenting a clear and accessible synthesis of the key benefits and challenges associated with microservices architecture. Through a methodical analysis of these factors, the study aims to discern the most pivotal advantages and challenges within the domain of microservices. Steering away from complicated terminology, …

Sscm: Self-Secured Cloud Model In Irrigation System, Tahani M. Allam Dr. Tahani Allam

Journal of Engineering Research

The safe installation and startup of irrigation system which linked to the Internet of Things (IoT) over the Internet is a challenging subject to address. This article addresses the safe Internet-based verified configuration of irrigation system in order to offer further value-added services. After reviewing the safe self-configuration constraints imposed on Cloud and IoT technologies, present a Cloud-based architecture that allows IoT devices to communicate with many federated Cloud services. Talk about two scenarios and how federated cloud architecture and one cloud environment interact with Internet of Things devices. The proposed self-secured cloud model of intelligent irrigation strategies for efficient …

Robotics Lab With The Lego Spike Prime Robot, Susan Imberman, Tatiana Anderson, Chang Guo, Vladimir Frants, Daniel Agman, Orit D. Gruber

Open Educational Resources

This lab introduces the field of Robotics. Robotics is a field that combines Artificial Intelligence with Engineering. In this lab, the student will be experimenting with the LEGO® Spike Prime Robot. The student's final report should include a copy of all the completed answers, program code, and observations.

After completing this lab experiment, the student will proceed to answer the following questions in the Observations section at the end of the lab report:

• List some applications of robotics in daily living and industry ?

• How does a robot sense and react to its environment?

• What new ideas were observed during …

The Essential Guide To Playing And Creating Music Online Together, Rebekah Wilson

Journal of Network Music and Arts

No abstract provided.

Telematic Performance In Electronic Dance Music (Edm), Yongsi Wang

Journal of Network Music and Arts

This paper aims to discuss to what extent telematic performances within the framework of the “Beyond Time and Space - London Tokyo Online 2023” initiative serve as a comparative paradigm to physical live performances, particularly in the domains of technical exigencies, artistic expression, and audience engagement.

Central to this study is the “Beyond Time and Space - London Tokyo Online 2023” event, a simultaneous, interactive electronic live music performance connecting physical venues in London and Tokyo. Through JackTrip and Open Broadcaster Software (OBS), this event aspired to explore the applicability and limitations of telematic technology in live electronic music performance …

Kompost*Klang*Küche*: Telematic Worlding With Glitch, Hannah Vyborg Walter, Robert Torche, Cedric Spindler, Eric Larrieux, Patrick Muller

Journal of Network Music and Arts

This paper explores concepts and practices of telematic performances, particularly through the lens of the project kompost*klang*küche*. It emphasizes spatial discontinuity within networked artistic collaborations, as opposed to immersive continuity.

Telematic performance formats utilize network technologies to facilitate low latency artistic endeavors across geographical divides, creating a complex interplay between local, remote, and intermediary spaces. In this context, we interpret spatial configurations from a phenomenological point of view as telematic SPACE in which technical components are in place in three spaces (local, remote and intermediary space) while practiced, embodied and inhabited in an anthropological space, where the overlay and dynamics …

How To Be In Two Places At Once: A Search For The Immersive Experience In Renaissance Music And Visual Arts., Andrew Hallock

Journal of Network Music and Arts

Immersion is a hot topic, but it is often invoked in a vague or shallow way. This essay aims to arrive at a more nuanced consideration of the immersive experience by presenting some perhaps surprising arguments from the past—from Renaissance music and visual arts—drawing parallels with our own time, and positing that the Network Arts can take inspiration from this history to enhance its own immersive endeavours. Four interrelated topics serve as the basis for this investigation: miniature devotionalia, polyphonic canons, anamorphic puzzles, and early cosmology. By using perspective to disclose hidden meanings, ideas, and realities, these varied practices draw …

Connectivity, Presence, And Time: A Pedagogical Experience With Telematic Music, Cássia Carrascoza Bomfim, Alexandre Ficarelli, Danilo Rossetti

Journal of Network Music and Arts

This article aims to discuss the notions of connectivity, presence, and time in the specific context of telematic music. To do so, we describe the work of the Telematic Ensemble LaFlauta, formed by students and professors from the University of São Paulo, Ribeirão Preto campus, for performance at the NowNet Arts Conference 2023.4 This work involved rehearsals and performances of three compositions dedicated to the group: Virtual Studies (2023) by Paulo C. Chagas, Modules 2 - My Words (2023) by Cássia Carrascoza, and Textural Studies (2023) by Danilo Rossetti. We conclude that the positive results of telematic music in a …

Editorial, Sarah Weaver

Journal of Network Music and Arts

No abstract provided.

Deep Learning For Multiple Unmanned Aerial Vehicle Coordination In Air Corridors, Liangkun Yu

Electrical and Computer Engineering ETDs

In the future, city skies will be filled with Unmanned Aerial Vehicles (UAVs) for rapid urban transport, including parcel deliveries and air taxis. NASA's Urban Air Mobility (UAM) envisions UAVs navigating air corridors. These virtual pathways ensure safety and compliance with regulations. However, current research on UAM practical applications is limited. This dissertation focuses on designing air corridors, developing UAV control systems, and ensuring the robustness of control algorithms against disturbances in real-world environments.

Our design features an air corridor system with horizontal lanes and on-off ramps, conceptualized as cylindrical spaces and tori, respectively. To enable each UAV to locally …

Emerging Cyber Risks & Threats In Healthcare Systems: A Case Study In Resilient Cybersecurity Solutions, Abdiaziz Abdi, Hajar Bennouri, Anthony Keane

Conference Papers

The exponential growth of digitalisation in healthcare and the ongoing threat of cybersecurity breaches are significant and cast a shadow over the industry’s progress. As the cost of data breaches reaches unprecedented levels, reaching an average of US$10.93 million in 2023 alone, and the frequency of attacks escalates, evidenced by a staggering 60% increase in phishing incidents between 2022 and 2023 reported by Smarttech247, Healthcare infrastructure is at a critical intersection. In this paper, we address the complex relationship between harnessing the potential of digital systems to improve and combating the escalating risks posed by cyber threats. The cyberattack on …

Experimentation With Speech Recognition And Word Error Rates, Sarah Zelikovitz, Orit D. Gruber

Open Educational Resources

In this lab you will be using the speech recognition program in Windows. After the initial training session, you will proceed to conduct experiments to evaluate the accuracy of the speech program.

At the end of this lab, you will be able to answer the following questions:

What is the purpose of speech recognition programs ?

• What are some applications of speech recognition programs ?

• What is the metric to evaluate speech recognition programs?

• What parameters are used to test speech recognition programs?

Robust Quantitative Photoacoustic Imaging For Colorectal Cancer Treatment Monitoring, Sitai Kou

McKelvey School of Engineering Graduate Student Theses & Dissertations

Colorectal cancer is the 2nd leading cause of cancer death in the United States and the incidence among population under 50 years old has been increasing for the past decade. Contrary to obvious vascular and morphological structures in pre-treatment colorectal cancer, during treatment and post-treatment colorectal cancer tissue often contains fibrosis and edema in tumor bed. These complications cause difficulties in evaluating tissue response to neoadjuvant chemoradiation therapy with MRI and endoscopy, leading to unnecessary resection of rectum, which increases healthcare cost and impacts patient quality of life. Photoacoustic (PA) imaging is a promising tool for observing blood distribution in …

Quantum & Classical Machine Learning Studies Of Semiconductor Crystal Epitaxy, Andrew S. Messecar, Steven M. Durbin, Robert A. Makin

Waldo Library Student Exhibits

Molecular beam epitaxy (MBE) is an ultra–high vacuum crystal growth technique for the synthesis of high–purity materials. MBE allows for controlled deposition to the precision of a single atomic layer.

Understanding the optimal synthesis conditions for MBE can enhance experiment design and accelerate the discovery of new materials.

In this study, we apply materials informatics – investigating the utility of both quantum and conventional machine learning algorithms – to a decade’s worth of plasma–assisted MBE (PAMBE) data of GaN and InN. The goal is to investigate the relationships between PAMBE growth conditions and figures of merit for semiconductor crystals.