Computer Engineering Commons^™

Modeling And Analysis On Scattering Characteristics Automatic Driving Radar Bands In Rainy Environment, Mengfan Zou, Xiaoyu He

Journal of System Simulation

Abstract: The operating frequency band of modern communication and radar systems has extended to millimeter wave and terahertz frequency band, and the analysis on propagation characteristics of electromagnetic signals in rainy environment is important. A calculation model through Mie scattering theory is built to simulate the attenuation and the scattering of electromagnetic signals in rainy environments. Different types of raindrop size distribution function are adopted to analyze the propagation attenuation under different rainfall of frequencies spanning from 1 GHz to 1 THz. Experimental results are compared with international telecommunication union (ITU) half-empirical model to verify the validation of the model. …

Integrated Scheduling Simulation Based On Improved Moth Flame Optimizer, Tianrui Zhang, Huiyuan Niu, Wei Xie

Journal of System Simulation

Abstract: Aiming at the rising cost of manufacturing enterprises, a mathematical programming model of integrated scheduling of production and transportation is established, and a double adaptive weights for moth flame optimizer(DAWMFO) is proposed. A double adaptive weight mechanism is proposed. The spiral function is used to update the population, which improves the convergence speed and accuracy of the algorithm. The benchmark function is tested by the improved algorithm. The results show that the improved algorithm can converge quickly and not easily fall into local optimum. Compared with other algorithms, the optimization ability is also improved. Through the simulation experiment on …

Simulation And Research Of Manipulator Motion Strategy Based On Adaptive Dynamic Programming, Ming Li, Qun Xu, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the difficulty of manipulator to realize high-precision motion tracking in complex and harsh environment, a strategy method based on the combination of adaptive dynamic programming (ADP) and sliding mode admittance control is proposed. The unknown environment is modeled as a linear model and based on quasi, a sliding mode admittance controller is derived to resist disturbance interference. An optimal control method that combines ADP with sliding mode admittance controller is proposed, in which the definition of R-matrix in value function is optimized and improved to further improve the tracking accuracy. The neural network based on ADP is …

A Structured Conceptual Model Of Joint Operations From Design Perspective, Rui Wen

Journal of System Simulation

Abstract: With the development of technology, through the complementary interaction among operations, operation effectiveness can non-linearly increase and realize fissional and exponential effect. In order to realize dynamic convergence, it is necessary to carry out the action, information and energy unified design. From the antagonism view, taking into account the factors such as the purpose of the operation, the strength of the operation, the conditions of the operation, and so on, the joint operation is divided into the preorder action/ state, the major operational action, the counter-action, the response action, and the branch action, which is synthesized to major operation, …

Time-Varying Rbf Neural Network-Based Controller Design For A Class Of Time-Varying Nonlinear Systems, Jing Li, Taotao Zhang, Kai Jin, Shengzhi Yuan, Zilong Zha

Journal of System Simulation

Abstract: A time-varying RBF neural network with time-varying properties is firstly proposed, and its approximation theorem is obtained. For a class of nonlinear systems with non-parametric time-varying uncertainties, the proposed time-varying RBF neural network is used to approximate the time-varying uncertainties, and the controller is designed by making use of Lyapunov stability theory and adaptive iterative learning control techniques. We obtain the stability theorem of the designed controller. The simulation results verify the effectiveness of the time-varying neural network and the correctness of the controller design scheme.

Design And Simulation Of A Location Privacy Protection Scheme Based On Zero-Knowledge Proof For Military Iot, Mingjie Shi, Chengyu Xie, Chuanfu Zhang

Journal of System Simulation

Abstract: In the military Internet of Things (IoT) combat environment, the location privacy issue becomes a key challenge. An innovative location privacy protection scheme based on zero-knowledge proof is proposed to ensure that in unreliable communication channels, the location information of combat units can be verified without revealing their specific coordinates, so as to achieve the goal of protecting sensitive location information. Based on the idea of cryptography, by using zero-knowledge proof, through algebraic circuit, rank-1 constraint system(R1CS), quadratic arithmetic programs(QAP), and other steps, the position coordinate information proof problem is transformed into a point verification problem on a polynomial …

Air Distribution Simulation And Comfort Evaluation Of Large Space Building Based On Rans And Les, Shen Zhang, Ming Cheng, Yifan Wang, Fankai Meng, Ting Li, Han Chen, Zhifeng Ji

Journal of System Simulation

Abstract: Air distribution simulation and thermal comfort evaluation for heating, ventilation and air conditioning (HVAC) design of large space buildings is of great significance for the human thermal comfort improvement and the energy consumption reduction. By combining the steady analysis based on RANS and the transient analysis of large eddy simulation (LES), an air distribution simulation and thermal comfort evaluation process in large space buildings is established. Due to the low calculation consumption, the steady analysis based on RANS is conducted to efficiently evaluate the thermal comfort and the air quality under multiple working conditions. Considering the high computational consumption …

Dynamic 3d Scene Perception Based On Battlefield Metaverse, Haoyu Wang, Guanghong Gong, Jihong Cai, Bipeng Ye, Zhaofang Zhou, Zheng Mei, Ni Li

Journal of System Simulation

Abstract: Informatization combat needs higher requirements for battlefield situational awareness, and the use of unmanned intelligences to conduct battlefield reconnaissance and perceive target information is particularly important. Facing the needs of complex dynamic environment localization and target recognition, a dynamic 3D scene perception system is proposed and constructed based on battlefield meta-universe target data and operational environment, which uses vision and IMU fusion sensor simulation data as inputs, extracts battlefield target information through instance segmentation and dense optical flow estimation network and uses it as a scene prior, and synchronizes the position estimation of unmanned intelligences in the battlefield with …

Learning And Analysis Of Dynamic Models For Grid Discrete Events Based On Log Information, Danlong Zhu, Yunqi Yan, Ying Chen, Jiaqi Zhang, Longxing Jin, Wei Fu

Journal of System Simulation

Abstract: With the increasing scale of power grid, the massive amount of log information generated bydevices in the power grid poses a challenge to the manual analysis of abnormal grid conditions. The log information generated during the operation of the power grid has the typical discrete sequential characteristics. By analyzing the log information of grid alarm messages, a station event transition probability model and an event sequence risk calculation method are proposed to effectively model and analyze the abnormal operation level of primary and secondary systems in substations. The proposed method not only successfully identifies the event sequences corresponding to …

Research On Multi-Aircraft Air Combat Behavior Modeling Based On Hierarchical Intelligent Modeling Methods, Yukun Wang, Ze Wang, Liwei Dong, Ni Li

Journal of System Simulation

Abstract: In response to the problem of the difficulty of decision-making in the game of force under the constraints of high-dimensional state-space in multi-machine air combat confrontation scenarios, a force intelligent agent decision-making generation strategy based on deep reinforcement learning is adopted. The developing situational cognition and reward feedback generation algorithms for force intelligentgame are proposed, a behavior modeling hierarchical framework based on hybrid intelligence modeling method is constructed, which solve the technical difficulty of sparse reward in the reinforcement learning process. It provides an feasible reinforcement learning training method that can solve the large-scale, multi-model, and multi-element air combat …

Executive Order On The Safe, Secure, And Trustworthy Development And Use Of Artificial Intelligence, Joseph R. Biden

Copyright, Fair Use, Scholarly Communication, etc.

Section 1. Purpose. Artificial intelligence (AI) holds extraordinary potential for both promise and peril. Responsible AI use has the potential to help solve urgent challenges while making our world more prosperous, productive, innovative, and secure. At the same time, irresponsible use could exacerbate societal harms such as fraud, discrimination, bias, and disinformation; displace and disempower workers; stifle competition; and pose risks to national security. Harnessing AI for good and realizing its myriad benefits requires mitigating its substantial risks. This endeavor demands a society-wide effort that includes government, the private sector, academia, and civil society.

My Administration places the highest urgency …

Terrain Surface Texture Generation Networks For User Semantics Customization, Yan Gao, Jimeng Li, Jianzhong Xu, Hongyan Quan

Journal of System Simulation

Abstract: Customizing terrain based on user semantics has practical value in the virtual terrain modeling of military simulation applications. This study provides a terrain surface texture generation network (TSTG-Net) that can synthesize realistic terrain based on user input semantics. TSTG-Net is designed as a Pix2pix structure and is based on CGAN. It learns the topology of customized terrain by encoding and parsing user semantics and regards the semantics feature as the constraint of CGAN. In the generator-discriminator structure, user-customized semantics are used as the input, and the real terrain with semantics is employed as the ground truth in network optimization. …

An Automatic Code Generation Method For Generic Real-Time Hardware-In-The-Loop Simulation Based On Custom Wizard, Zihan Liu, Lingxiao Hou, Yang Li, Zhiguang Wang, Wulong Zhang

Journal of System Simulation

Abstract: For the capability improvement demands of automation and generalization hardware-in-theloop simulation system, an automatic code generation method for generic real-time hardware-in-the-loop simulation based on custom wizard is proposed. A modular and universal code template-based frame documents and professional resource library are constructed with years of technical accumulation in hardware-in-the-loop simulation. The responsive front-ends and scripts are designed by HTML, CSS and JavaScript and an universal automatic code generation software AutoSimRTX is developed, which effectively supports the construction of hardware-in-the-loop simulation system.

Towards Reliable Multi-Path Routing : An Integrated Cooperation Model For Drones, Ibtihel Baddari, Abdelhak Mesbah, Maohamed Amine Riahla

Emirates Journal for Engineering Research

Ad-hoc networks have evolved into a vital wireless communication component by offering an adaptable infrastructure suitable for various scenarios in our increasingly interconnected and mobile world. However, this adaptability also exposes these networks to security challenges, given their dynamic nature, where nodes frequently join and leave. This dynamism is advantageous but presents resource constraints and vulnerability to malicious nodes, impacting data transmission reliability and security.

In this context, this article explores the development of a secure routing protocol for Ad-hoc networks based on a cooperation reinforcement model to reduce the degradation of routing performance. We leverage the reputation of nodes …

A Dynamic Online Dashboard For Tracking The Performance Of Division 1 Basketball Athletic Performance, Erica Juliano, Chelsea Thakkar, Christopher B. Taber, Mehul S. Raval, Kaya Tolga, Samah Senbel

School of Computer Science & Engineering Undergraduate Publications

Using Data Analytics is a vital part of sport performance enhancement. We collect data from the Division 1 'Women's basketball athletes and coaches at our university, for use in analysis and prediction. Several data sources are used daily and weekly: WHOOP straps, weekly surveys, polar straps, jump analysis, and training session information. In this paper, we present an online dashboard to visually present the data to the athletes and coaches. R shiny was used to develop the platform, with the data stored on the cloud for instant updates of the dashboard as the data becomes available. The performance of athletes …

A Framework For Biomechanical Analysis Of Jump Landings For Injury Risk Assessment, Srishti Sharma, Srikrishnan Divakaran, Kaya Tolga, Christopher B. Taber, Mehul S. Raval

School of Computer Science & Engineering Faculty Publications

Competitive sports require rapid and intense movements, such as jump landings, making athletes susceptible to injuries due to altered neuromuscular control and joint mechanics. Biomechanical features during landings are associated with injury risk, emphasizing proper movement and postural stability. Computer vision techniques offer a time-efficient, noninvasive, and unbiased method to assess jump-landings and identify injury risks. This study proposes a video analysis framework to evaluate jump landing biomechanics in athletes todetermineirregularmovementsandincorrectpostures.It providesadviceandrecommendationstocoachesforinjury predictionandtrainingimprovements.Theproposedframework istestedusingcountermovementjumpvideosof17NCAA DivisionIfemalebasketballathletes.Theresultsindicateda lowMeanAbsoluteError(0.97),highcorrelation(0.89),high averageaccuracy(98.31%)andF1score(0.98),signifyingthe framework’sreliabilityinidentifyinginjuryrisk.

Iot Architecture For Enhancing Wayfinding And Accessibility In Smart Cities, Myles Keller

USF Tampa Graduate Theses and Dissertations

This research explores the potential of the Internet of Things (IoT) in enhancing urban wayfinding, particularly for the blind and visually impaired (BVI). Utilizing IoT's multi-layered architecture, smart cities deploy integrated sensors and devices to address urban challenges, with wayfinding as a key focus. While various accessible wayfinding methods have been explored, there exists a gap for more efficient solutions. Within this context, a collision warning system was developed for the BVI, integrated within a broader body sensor network (BSN) framework. Building on this, the study presents AWayNet, an RFID-based network, as a transformative solution. Simulations in the CARLA Simulator …

Analyzing Multi-Robot Leader-Follower Formations In Obstacle-Laden Environments, Zachary J. Hinnen

USF Tampa Graduate Theses and Dissertations

Observations in biological formation from nature likes flocks of birds, herds of mammals and packs of wolves have inspired the innovation of robotic architectures. This thesis presents an approach that aims to use robotic systems to mimic leader-follower behaviors in the navigation and formation of sparse and dense environments. The goal of this work is to extend and further analyze the original work of Weitzenfeld et al [3] to evaluate new swarm and pack based multi-robot architectures with the inclusion of obstacle avoidance and variations in group formations. The multiple robot architecture is based off a wolf pack with a …

Leveraging Vr/Ar/Mr/Xr Technologies To Improve Cybersecurity Education, Training, And Operations, Paul Wagner, Dalal Alharthi

Journal of Cybersecurity Education, Research and Practice

The United States faces persistent threats conducting malicious cyber campaigns that threaten critical infrastructure, companies and their intellectual property, and the privacy of its citizens. Additionally, there are millions of unfilled cybersecurity positions, and the cybersecurity skills gap continues to widen. Most companies believe that this problem has not improved and nearly 44% believe it has gotten worse over the past 10 years. Threat actors are continuing to evolve their tactics, techniques, and procedures for conducting attacks on public and private targets. Education institutions and companies must adopt emerging technologies to develop security professionals and to increase cybersecurity awareness holistically. …

The Intersection Of Ai And Employment, Sachit Kamat

River Cities Industrial and Organizational Psychology Conference

Artificial Intelligence (AI) is rapidly transforming every industry. This session will focus on the practical applications of AI within employment hiring and succession strategies, enabling organizations to automate processes, improve efficiency, and uncover data-driven insights for enhanced decision making. We will discuss advancements using AI in the recruitment process, including the use of machine learning algorithms to screen resumes and identify successful candidates. The talk will highlight the regulatory environment and the intersection of the IO and AI fields within this rapidly evolving landscape. Additionally, the presentation will explore where AI is being used to improve organizational retention and performance. …

Workshop On Data For Ai In Network Systems - Event Summary, Kuang-Ching Wang, Ron Hutchins, Anita Nikolich

Workshop on Data for AI in Network Systems

No abstract provided.

Data For Ai In Network Systems Workshop Report, Kuang-Ching Wang, Ron Hutchins, Anita Nikolich

Workshop on Data for AI in Network Systems

No abstract provided.

Effect Of Fire Flame On Some Mechanical Properties Of Self-Compacting Concrete, Haider Sadiq M. Ali, Nabeel A-M. Albayati, Basman R. Mohammed, Adil M. Jabbar

Al-Esraa University College Journal for Engineering Sciences

This paper presents an experimental investigation of the effect of fire flame on self-compacting concrete. The experimental program included casting cylinder and prism concrete specimens for compressive strength, modulus of elasticity, modulus of rupture, and concrete density tests. The specimens are exposed to fire flame at 800 ºC approximately for 2 hours or 6 hours. Then the specimens were cooled either in a fast or slow manner. Test results show that the compressive strength was reduced by about (54 - 61)% for fire exposure of 6 hours and by (27 - 37)% for 2 hours of exposure and cooled slowly …

Manual Preparation Of Eyeglasses Based On Corneal Topographical Images For Keratoconus Patients, Bassma Sabah Majeed, Faiz F. Mustafa, Nebras H. Ghaeb

Al-Esraa University College Journal for Engineering Sciences

keratoconus (KCN) is a non-inflammatory, progressive thinning process of the cornea. It is considered one of the advanced biomechanical changes on the corneal surface, and methods of treatment in late cases are special designed contact lenses or surgical intervention. The objective of this paper is to customize the standard eyeglass lens in a way so that it fits with the abnormal shape and changes of the surface of the cornea of a patient suffering from KCN disease.The proposed method here, based on manual scratching of the external surface of the standard eyeglass lens under supervising of an expert optometrist, where …

Age-Friendly Educational Buildings Primary Schools In Kerbala - A Case Study, Anwar Fadhil Hussein, Ibrahim Jawad Kadhim

Al-Esraa University College Journal for Engineering Sciences

The concept of age-friendly societies has gained international attention among researchers, policy makers, and community organizations since the World Health Organization launched the Friendly Communities Project in 2006, to address challenges in some countries, as these challenges affect all aspects of society, and the educational environment represents an important joint of those joints, being the environment that is the most effective and influential in shaping human behavior. The age stage that is most affected and capable of learning and shaping behavior is of importance, which is the childhood stage. Therefore, the research focused on school buildings, as they represent an …

The Role Of Enhancing Interaction With The Natural Environment In Achieving Social Interaction For Children In Orphanage Institutions, Shamael M. W. Al Dabbagh, Zainab Khalid Rashad Al Khafaji

Al-Esraa University College Journal for Engineering Sciences

The child deprived of family care is considered the child most in need of attention and care. When the orphan child enters a new environment for him, it is obvious that he feels alienated, isolated, and loses the sense of interaction and communication with society. The research sees the possibility of mitigating this feeling by enhancing interaction with the natural environment within the internal spaces of the orphanage building and at the neighborhood level. In order to solve the research problem, the research adopted a hypothesis stating that "interaction with the natural environment enhances the achievement of social interaction for …

The Role Of Academic Competitions In Promoting Architectural Education: Tamayouze Excellence Award In Iraqi Architectural Education - Case Study, Nairy Mugardich Krikor, Anwar Subhi Ramadan

Al-Esraa University College Journal for Engineering Sciences

The importance of architectural competitions has emerged in finding the best designs, upgrading and architectural advancement in both practice and thinking. Architectural competitions have become intellectual meetings that contribute to stimulating self-learning and encouraging creativity. They act as an educational tool that leads to competition, giving motivation to the development of skills and learning, in a way that enhances the integration between architectural theory and practical practice for both engineers and architecture students. The research was concerned with studying the effective role of academic competitions in architectural education as one of the ways to improve teaching and learning, and to …

Analysis And Mitigation Of Cyber-Attacks Targeting Infrastructures Operated By Iot Systems, Raja Salih Mohammed Hasan, Nadia Mahmood Ali, Ihsan Jabbar Hasan

Al-Esraa University College Journal for Engineering Sciences

Numerous countries have a high impact on providing the planet with critical infrastructures offering very important services employed in different fields such as water resources management, public services, power grids, telecoms, commercials, and transportation. The increasing solutions in IoT systems made it possible to exploit internet connection services for supporting the critical infrastructures. The latest are being targeted by various types of cyber-attacks due to the advancement in internet services. Therefore, improving the security systems and the ways to detect the threats is highly required. Meanwhile, protecting the critical infrastructures from hostile cyber-attacks is of high significance. This article examines …

Reliability Assessment Model Of Network Operating System Based On Convolution Neural Network, Jamal N. Hasoon, Sarah S. Qasim, Mohammed A. Alshomali, Jane J. Stephan

Al-Esraa University College Journal for Engineering Sciences

The paper's subject is one of the points of fundamental significance in improving the development of complex computer systems is the effect of errors since their probability of occurrence in a widely distributed system is exceptionally high. Thus, the computer system must be dependable and provide comprehensive support for fault tolerance, fault detection, signal recovery mechanisms, failure prediction, etc. The goal is to develop a way to evaluate the reliability of the Red Hat Linux operating system utilizing data sets of system failures obtained from system injection with error reports using the Fault Injection Benchmarking and Reliability) FIBR( (for a …

Investing Traditional Architecture That Fulfills The Supreme Human Needs With Its Spiritual Dimension In Reconstruction / The Architecture Of Old Mosul City, A Case Study, Sinan Mohammad Talee Al-Saffar, Anwar Subhi Ramdan Al - Qaraghuli

Al-Esraa University College Journal for Engineering Sciences

Architecture has sought since time immemorial to meet multiple human needs, starting from the basic physiological needs for human survival, psychological needs (social and individual) to needs related to human progress, such as taking into account the aesthetic and spiritual aspects, which represent the highest levels of those needs, through a set of design aspects and characteristics. This research is based on the study of the spiritual dimension of higher human needs in general that architecture seeks to meet, by studying that in the architecture of traditional cities, in particular, to enhance architectural knowledge with regard to the importance of …