Open Access. Powered by Scholars. Published by Universities.®

Computer Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 6631 - 6660 of 25611

Full-Text Articles in Computer Engineering

Refined Alignment Method For Single-Axis Rotary Inertial Navigation Based On Fuzzy Adaptive Filtering, Hu Jie, Xiaozhu Shi Feb 2021

Refined Alignment Method For Single-Axis Rotary Inertial Navigation Based On Fuzzy Adaptive Filtering, Hu Jie, Xiaozhu Shi

Journal of System Simulation

Abstract: In order to restrain the influence of saw tooth velocity error caused by the inertial measurement unit (IMU) rotation on the initial alignment accuracy of single-axis rotary strapdown inertial navigation system (SINS), a refined alignment method based on fuzzy adaptive Kalman filtering is proposed. After calculating the ratio of actual covariance to theoretical covariance of the innovation sequence, the method adaptively adjusts the measurement noise covariance matrix by using the fuzzy inference system (FIS), so that it can adapt to the changes of measurement noise caused by IMU rotation. The initial alignment validation experiments under the swing environment …

Go to article

An Intrusion Detection Algorithm Based On Ifoa And Welm, Jianwu Dang, Tan Ling Feb 2021

An Intrusion Detection Algorithm Based On Ifoa And Welm, Jianwu Dang, Tan Ling

Journal of System Simulation

Abstract: An intrusion detection algorithm of WELM optimized by IFOA is proposed. The advantages of short training time and good generalization performance of WELM are used, and the weight of minority attacks is increased, so that the recall rate of minority attacks in network attacks is greatly improved.The FOA with adaptive adjustment of the iterative step size is used, so the input weights and bias of the hidden layer in the WELM are globally optimized to avoid the algorithm falling into local optimal solution and realize the classification of the NSL-KDD intrusion detection data set. The experimental results show …

Go to article

Flight Simulation Modeling Method Based On Improved Euler Angle Formula, Lishan Jia, Li Ang Feb 2021

Flight Simulation Modeling Method Based On Improved Euler Angle Formula, Lishan Jia, Li Ang

Journal of System Simulation

Abstract: Aiming at the singularity problem of common full flight motion equation, a modeling method based on improved Euler angle formula is proposed. On the basis of the modified small perturbation modeling equation, this method increases the influence of aircraft maneuvering surface on the aircraft Euler angle and a variable step solution algorithm is used. The model can overcome the singularity problem of common Euler equation, and the accuracy of model calculation is higher than other flight simulation models which overcome the singularity of Euler equation. Compared with the flight simulation model using the conventional Euler angle formula, the proposed …

Go to article

Integrated Design And Simulation Of A Giant Magnetostrictive Driving Positioning And Vibration Suppression System, Xiaoqing Sun, Hu Wei, Yucheng Liu, Zhilei Wang, Hu Jun Feb 2021

Integrated Design And Simulation Of A Giant Magnetostrictive Driving Positioning And Vibration Suppression System, Xiaoqing Sun, Hu Wei, Yucheng Liu, Zhilei Wang, Hu Jun

Journal of System Simulation

Abstract: Aiming at the ultra-precision positioning and vibration suppression for sensitive payloads on-orbital working environment, a giant magnetostrictive driving positioning and vibration suppression system is proposed. The passive vibration isolation performance is selected as the optimization objective to realize the optimization design of the key part of the integrated system. The dynamic model of the whole system is built and the simulation model is constructed through Simulink. The simulation analysis and experimental tests are carried out to test the integrated system. The results show that the proposed integrated system realizes the ultra-precision positioning, and suppresses the vibration above 60 Hz, …

Go to article

Longitudinal Adaptive Control Of Autonomous Vehicles Base On Optimization Algorithm, Zhishuai Yin, Jiaxiong He, Linzhen Nie, Jiayi Guan Feb 2021

Longitudinal Adaptive Control Of Autonomous Vehicles Base On Optimization Algorithm, Zhishuai Yin, Jiaxiong He, Linzhen Nie, Jiayi Guan

Journal of System Simulation

Abstract: Aiming at the nonlinear, time-varying and uncertain characteristics of the longitudinal motion of autonomous vehicles, a Radial Basis Function neural network(RBFNN) Proportional Integral Derivative(PID) controller base on Particle Swarm Optimization(PSO) is designed. A RBFNN is integrated into a PID controller so that parameters of the PID controller could be adjusted self-adaptively. To solve the problem that poor selection of initial parameters of RBFNN and PID might lead to overshoot or instability in the control system, PSO is adopted to optimize aforementioned initial parameters off-line. Finally, a closed-loop adaptive control system model is built in MATLAB/Simulink. Simulation results show that …

Go to article

Simulation And Analysis For Gaussian Jitter Effects Of Geosynchronous Satellite, Yulun Li, Yang Wei, Jiayi Guo Feb 2021

Simulation And Analysis For Gaussian Jitter Effects Of Geosynchronous Satellite, Yulun Li, Yang Wei, Jiayi Guo

Journal of System Simulation

Abstract: Ultrahigh-spatial-resolution and high-temporal-revisit appear to be realizable for future space-borne imaging missions. By taking advantage of satellites on the geosynchronous orbit, the wide-area continuous monitoring capacity to ground target zones becomes possible. Focus on the imaging target displacement, it is necessary to study the platform jitter during the conceptual modeling phase. Discrete Event System Specification (DEVS) is employed to abstract the observation area as an event generator. The attitude stabilization is digitalized and both theoretical analysis and simulation experiments of Gaussian-excited signals are provided. Simulation results show that the distributions of attitude responses preserve the normality. The offset distance …

Go to article

A Quantized State System Method With Adaptive Quantum, Zhihua Li, Dongjin Fu, Li Guang, Zhihua Fan Feb 2021

A Quantized State System Method With Adaptive Quantum, Zhihua Li, Dongjin Fu, Li Guang, Zhihua Fan

Journal of System Simulation

Abstract: Quantized state system (QSS) is a new numerical integration method. It has advantages over the traditional time-discrete integration methods in solving general ordinary differential equation (ODE) systems. But it is hard to choose an appropriate quantum for the QSS method. In order to improve the accuracy and efficiency of QSS, a quantized state system method with adaptive quantum (VQSS) is proposed. Combined with the idea of step control in the variable step Runge-Kutta method, it can adaptively change the quantum in the process of computation. The feasibility of this algorithm is verified by the simulation of two examples …

Go to article

Visualization Of Tropical Cyclone Disaster Information Based On Cesium, Shuoben Bi, Yezhou Chen, Yucheng Gong, Mingyue Lu, Ruizhuang Xu Feb 2021

Visualization Of Tropical Cyclone Disaster Information Based On Cesium, Shuoben Bi, Yezhou Chen, Yucheng Gong, Mingyue Lu, Ruizhuang Xu

Journal of System Simulation

Abstract: The disaster information of tropical cyclones not only expresses the intensity, but also reflects the degree of influence on human life, which has very important research significance. At present, no scholar has given a dynamic visualization method based on Cesium for water flooding disasters, nor has it integrated with other disaster information of tropical cyclones. In response to these problems, a dynamic visualization method for water inundation is proposed, and it is integrated with other disaster information such as the path of tropical cyclone and loss caused by it in the same digital earth platform. Experiments show that the …

Go to article

Negative Influence Minimization Algorithm For Social Networks, Yang Yi, Chunxiao Wu, He Ming, Zhou Bo Feb 2021

Negative Influence Minimization Algorithm For Social Networks, Yang Yi, Chunxiao Wu, He Ming, Zhou Bo

Journal of System Simulation

Abstract: While positive information is spreading in social networks, there is still a large amount of negative information spreading in the network. Aiming at the fact that there is few researches on suppressing the spread of negative information, a negative influence minimization algorithm for social networks is proposed. When negative information appears in social networks and some initial nodes are infected, the behavior of nodes propagating information depends on its coordination game with neighbor nodes. The objective function with minimal influence is used to find the K optimal blocking nodes, and finally the size of the final infected node is …

Go to article

Spatio-Temporal Memory Models In Spatial Cognitive Behavioral Modeling, Hu Yue, Xu Kai, Qin Long, Quanjun Yin, Yabing Zha Feb 2021

Spatio-Temporal Memory Models In Spatial Cognitive Behavioral Modeling, Hu Yue, Xu Kai, Qin Long, Quanjun Yin, Yabing Zha

Journal of System Simulation

Abstract: It is crucial for military simulation systems to model the layouts of spatial environments and the temporal logic of entity activities. To improve the human-likeness of Computer Generated Forces (CGFs) and the runtime efficiency of the systems, building spatio-temporal memory representations and reasoning mechanisms that accord to mankind cognition is required. The neuro cognition science background of spatio-temporal memory is presented, and the related work on modeling the memory in deep learning and computational intelligence communities is summarized. Following the OODA (Observe-Orient-Decide-Act) loop, a general framework of spatial cognitive behavioral modeling is designed and the application of spatio-temporal memory …

Go to article

Research On Cgf-Oriented Virtual Human Perceptual Attention Model, Weilong Yang, Xu Kai, Xie Xu, Sun Lin Feb 2021

Research On Cgf-Oriented Virtual Human Perceptual Attention Model, Weilong Yang, Xu Kai, Xie Xu, Sun Lin

Journal of System Simulation

Abstract: Perception model is an important research field of CGF behavior modeling. As the input of the reasoning module, the information obtained from the perception model has an important influence on the fidelity of the simulation. The CGF perception model is researched, and the attention mechanism, effective time of attention model is analyzed, compared with the traditional model of perception. By modeling the knowledge base and information feedback, a virtual human perception framework based on attention mechanism is proposed, and the experiment is carried out in the simulation environment.

Go to article

Review On The Construction And Application Of Digital Twins In Transportation Scenes, Zhaohui Wu, Zhenzheng Liu, Shi Ke, Wang Liang, Xiaojie Liang Feb 2021

Review On The Construction And Application Of Digital Twins In Transportation Scenes, Zhaohui Wu, Zhenzheng Liu, Shi Ke, Wang Liang, Xiaojie Liang

Journal of System Simulation

Abstract: Digital twins connect the physical world and the information world, and provide new ideas for the analysis and solution of complex traffic problems. The research and application status of digital twins in transportation scenes are reviewed on the basis of sorting out the basic concepts, development history and key technologies of digital twins. The key technologies for the construction of digital twins in transportation scenes that need to be breakthrough are analyzed from the four aspects of "people-vehicle-road-environment" combined with the characteristics of the elements of traffic operation. The prospect of digital twin transportation applications in the development of …

Go to article

Sliding Mode Adaptive Synchronization Control Dual Master Dual Slave Teleoperation System, Lingyan Hu, Shiqiang Li, Fu Yun Feb 2021

Sliding Mode Adaptive Synchronization Control Dual Master Dual Slave Teleoperation System, Lingyan Hu, Shiqiang Li, Fu Yun

Journal of System Simulation

Abstract: Aiming at the relative coordinated motion of the two-slave arms' end poses in the dual-master dual-slave teleoperation system, the influence on the coordinated positional relationship of the two slaves is analyzed when one of the master-slave controls is disturbed. A feasible synchronous position control method is propose which enables both the master-slave position error and the synchronization error of the dual master dual slave remote operating system to converge to zero during the coordinated motion When the master-slave arm moves along the desired trajectory, the coordination and synchronization of the movement between the two slave arms are ensured, and …

Go to article

Simulation Experiment Of Quantum Ranging Process Based On The “Mozi” Quantum Satellite, Cong Shuang, Shiqi Duan Feb 2021

Simulation Experiment Of Quantum Ranging Process Based On The “Mozi” Quantum Satellite, Cong Shuang, Shiqi Duan

Journal of System Simulation

Abstract: The simulation experiment researches about two key processes of earth-satellite quantum ranging process are carried out, including the transmission and reception about the photon pairs based on the acquisition, tracking and pointing (ATP) system, and the calculation about the time difference of arrival (TDOA) of entangled photon pairs by the coincidence counting principle. Motion trajectory of the quantum satellite “Mozi” based on its six orbital parameters and the acquisition, tracking and pointing process to the optical signal from satellite to ground users are simulated. The function and structure of the acquisition tracking and pointing system are analysed, and a …

Go to article

Ar-Based Simulation Interaction And Human Factor Assessment For Human Robot Cooperation Assembly Planning, Wang Qiang, Xiumin Fan, Qichang He, Wenmin Zhu Feb 2021

Ar-Based Simulation Interaction And Human Factor Assessment For Human Robot Cooperation Assembly Planning, Wang Qiang, Xiumin Fan, Qichang He, Wenmin Zhu

Journal of System Simulation

Abstract: To improve assembly efficiency, it has become a trend for traditional manual assembly workstations to be carried out human-robot collaboration transformation. To realize the safe and fast evaluation of the improvement scheme, a general human-robot collaboration simulation method and human factor evaluation method based on Augmented Reality are proposed. Four levels of human-robot collaboration assembly simulation are established. An interactive scheme between real human and virtual robot for visual detection, perception and feedback is established. A fuzzy comprehensive evaluation model of human physiological and psychological indicators for workstation design is constructed. The prototype system is developed. Taking the assembly …

Go to article

Infrared Image Segmentation Of Aircraft Skin Based On Otsu And Improved I-Ching Divination Evolutionary Algorithm, Kun Wang, Ji Yao, Peilun Liu, Wang Li Feb 2021

Infrared Image Segmentation Of Aircraft Skin Based On Otsu And Improved I-Ching Divination Evolutionary Algorithm, Kun Wang, Ji Yao, Peilun Liu, Wang Li

Journal of System Simulation

Abstract: Infrared thermal imaging non-destructive testing is one of the commonly used methods for aircraft skin detection. Aiming at Otsu's large computational complexity and poor real-time performance, an aircraft skin infrared image segmentation method based on Otsu and an improved I-Ching divination evolutionary algorithm (IDEA) is proposed. The roulette selection operator is improved by using roulette selection for the I-Ching map of state size 3n, from which the n individuals with the maximum fitness values are then selected as new populations. The experimental results show that the proposed algorithm is superior to several other improved optimization algorithms both in terms …

Go to article

Simulation Of Adaptive Track Control Of Ship Bending In Inland River Curved Channel, Langxiong Gan, Changsheng Wu, Deng Wei, Yuanzhou Zheng, Chunhui Zhou Feb 2021

Simulation Of Adaptive Track Control Of Ship Bending In Inland River Curved Channel, Langxiong Gan, Changsheng Wu, Deng Wei, Yuanzhou Zheng, Chunhui Zhou

Journal of System Simulation

Abstract: In view of the complex flow characteristics and difficult maneuvering of ships in curved river section, combined with the characteristics of ship AIS trajectory and customary route, the intelligent track and heading control algorithm is adopted to realize the automatic control of ship's safe turning. Firstly, the research waters are selected and according to the rules of lane-dividing navigation, the ship's turning track is reasonably planned. Then the ship motion simulation software is constructed, and the self-adaptive fuzzy PID course controller is designed by combining the self-adaptive fuzzy control algorithm and traditional PID control, the simulation of …

Go to article

Correction Method Of Action Parameters Of Panzer Virtual Force Tactical Confrontation, Gao Ang, Xiaolu Wang, Zhiming Dong, Guohui Zhang Feb 2021

Correction Method Of Action Parameters Of Panzer Virtual Force Tactical Confrontation, Gao Ang, Xiaolu Wang, Zhiming Dong, Guohui Zhang

Journal of System Simulation

Abstract: Aiming at the problem of unreasonable virtual force tactical confrontation action parameters in the simulation training of armored force equipment system, resulting in unsatisfactory training effects, the idea of estimating posterior probability with prior probability is adopted to correct the parameters. According to the OODA theory, the tactical confrontation movement of armored forces is decomposed and an index system of influencing factors is constructed; the parameter collection method is proposed to establish the Bayesian network correction model and to realize dynamic adjustment; the expected optimization algorithm and the principal component analysis method are used to process the training data …

Go to article

Modulation Recognition Algorithm Based On Improved Lda And Autoencoders, Yecai Guo, Haoran Zhang Feb 2021

Modulation Recognition Algorithm Based On Improved Lda And Autoencoders, Yecai Guo, Haoran Zhang

Journal of System Simulation

Abstract: The traditional modulation recognition algorithms are based on the Gaussian white noise channel, which significantly degrade recognition performance in complex channel conditions. Aiming at this problem, a modulation recognition algorithm based on A-ALDA (Anti-alias Linear Discriminant Analysis) and SSDAE (Stacked Sparse Denoising Autoencoders) is proposed. In this algorithm, A-ALDA algorithm reconstructs signal cumulants feature into new features, which has better separability. The combination of original features and new features is input into SSDAE for classification, and SSADE has the ability to extract key information and resist noise. Simulation results show that …

Go to article

Pain Recognition Performance On A Single Board Computer, Iyonna L. Tynes Feb 2021

Pain Recognition Performance On A Single Board Computer, Iyonna L. Tynes

USF Tampa Graduate Theses and Dissertations

Emotion recognition is a quickly growing field of study due to the increased interest in building systems which can classify and respond to emotions. Recent medical crises, such as the opioid overdose epidemic in the United States and the global COVID-19 pandemic has emphasized the importance of emotion recognition applications is areas like Telehealth services. Considering this, this thesis focuses specifically on pain recognition. The problem of pain recognition is approached from both a hardware and software perspective, as we propose a real-time pain recognition system, from facial images, that is deployed on an NVIDIA Jetson Nano single-board computer. We …

Go to article

Bibliometric Analysis Of One-Stage And Two-Stage Object Detection, Aditya Lohia, Kalyani Dhananjay Kadam, Rahul Raghvendra Joshi, Dr. Anupkumar M. Bongale Feb 2021

Bibliometric Analysis Of One-Stage And Two-Stage Object Detection, Aditya Lohia, Kalyani Dhananjay Kadam, Rahul Raghvendra Joshi, Dr. Anupkumar M. Bongale

Library Philosophy and Practice (e-journal)

Object Detection using deep learning has seen a boom in the recent couple of years. Observing the trend and its research, it is important to summarize bibliometrics related to object detection which will help researchers contribute to this subject area. This paper details bibliometrics for one-stage object detection and two-stage object detection. This uses Scopus database for data analysis. This also uses tools like Sciencescape, Gephi, etc. It can be observed that the advancements to the field of object detection are seen in recent years and explored to its full extent. It is observed that Chinese universities and researchers are …

Go to article

Exploring The Efficiency Of Self-Organizing Software Teams With Game Theory, Clay Stevens, Jared Soundy, Hau Chan Feb 2021

Exploring The Efficiency Of Self-Organizing Software Teams With Game Theory, Clay Stevens, Jared Soundy, Hau Chan

School of Computing: Conference and Workshop Papers

Over the last two decades, software development has moved away from centralized, plan-based management toward agile methodologies such as Scrum. Agile methodologies are founded on a shared set of core principles, including self-organizing software development teams. Such teams are promoted as a way to increase both developer productivity and team morale, which is echoed by academic research. However, recent works on agile neglect to consider strategic behavior among developers, particularly during task assignment–one of the primary functions of a self-organizing team. This paper argues that self-organizing software teams could be readily modeled using game theory, providing insight into how agile …

Go to article

Method And System For Region Proposal Based Object Recognition For Estimating Planogram Compliance, Avishek Kumar Shaw, Rajashree Ramakrishnan, Shilpa Yadukumar Rao, Pranoy Hari, Dipti Prasad Mukherjee, Bikash Santra Feb 2021

Method And System For Region Proposal Based Object Recognition For Estimating Planogram Compliance, Avishek Kumar Shaw, Rajashree Ramakrishnan, Shilpa Yadukumar Rao, Pranoy Hari, Dipti Prasad Mukherjee, Bikash Santra

Patents

This disclosure relates generally to a system and method to identify various products on a plurality of images of various shelves of a retail store to facilitate compliance with respect to planograms. Planogram is a visual plan, which designates the placement of products on shelves and merchandising display fixtures of a retail store. Planograms are used to create consistency between store locations, to provide proper shelf space allocation, to improve visual merchandising appeal, and to create product-pairing suggestions. There are a few assumptions considering one instance per product class is available beforehand and the physical dimension of each product template …

Go to article

Differential Privacy For Industrial Internet Of Things: Opportunities, Applications And Challenges, Bin Jiang, Houbing Song, Jianqiang Li, Guanghui Yue Feb 2021

Differential Privacy For Industrial Internet Of Things: Opportunities, Applications And Challenges, Bin Jiang, Houbing Song, Jianqiang Li, Guanghui Yue

Publications

The development of Internet of Things (IoT) brings new changes to various fields. Particularly, industrial Internet of Things (IIoT) is promoting a new round of industrial revolution. With more applications of IIoT, privacy protection issues are emerging. Specially, some common algorithms in IIoT technology such as deep models strongly rely on data collection, which leads to the risk of privacy disclosure. Recently, differential privacy has been used to protect user-terminal privacy in IIoT, so it is necessary to make in-depth research on this topic. In this paper, we conduct a comprehensive survey on the opportunities, applications and challenges of differential …

Go to article

A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Based On Scopus And Wos, Shivali Amit Wagle, Harikrishnan R Feb 2021

A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Based On Scopus And Wos, Shivali Amit Wagle, Harikrishnan R

Library Philosophy and Practice (e-journal)

The maneuver of Artificial Intelligence (AI) techniques in the field of agriculture help in the classification of diseases. Early prediction of the disease benefits in taking relevant management steps. This is an important step towards controlling the disease growth that will yield good quality products to fulfill the global food demand. The main objective of this paper is to study the extent of research work done in this area of plant disease classification. The paper discusses the bibliometric analysis of plant disease classification with AI in Scopus and Web of Science core collection (WOS) database in analyzing the research by …

Go to article

A Bibliometric Analysis Of Distributed Incremental Clustering On Images, Ayushi Agrawal, Preeti Mulay, Krithika Iyer, Saloni Sarbhai Feb 2021

A Bibliometric Analysis Of Distributed Incremental Clustering On Images, Ayushi Agrawal, Preeti Mulay, Krithika Iyer, Saloni Sarbhai

Library Philosophy and Practice (e-journal)

Unstructured information is continuously irregular and streaming information from such a sequence is tedious because it lacks labels and accumulates with time. This is possible using Incremental Clustering algorithms that use previously learned information to accommodate new data and avoid retraining. This paper therefore seeks to understand the status of "Distributed Incremental Clustering" on images with text and numerical values, its limitations, scope, and other details to devise a better algorithm in future. To further enhance the analysis, we have also included methodology, which can be used to perform clustering on images or documents based on its content.

Go to article

Parking Recommender System Privacy Preservation Through Anonymization And Differential Privacy, Yasir Saleem Shaikh, Mubashir Husain Rehmani, Noel Crespi, Roberto Minerva Feb 2021

Parking Recommender System Privacy Preservation Through Anonymization And Differential Privacy, Yasir Saleem Shaikh, Mubashir Husain Rehmani, Noel Crespi, Roberto Minerva

Publications

Recent advancements in the Internet of Things (IoT) have enabled the development of smart parking systems that use services of third-party parking recommender system to provide recommendations of personalized parking spot to users based on their past experience. However, the indiscriminate sharing of users’ data with an untrusted (or semitrusted) parking recommender system may breach the privacy because users’ behavior and mobility patterns could be inferred by analyzing their past history. Therefore, in this article, we present two solutions that preserve privacy of users in parking recommender systems while analyzing the past parking history using k-anonymity (anonymization) and differential privacy …

Go to article

Sparc: Statistical Performance Analysis With Relevance Conclusions, Justin C. Tullos, Scott R. Graham, Jeremy D. Jordan, Pranav R. Patel Feb 2021

Sparc: Statistical Performance Analysis With Relevance Conclusions, Justin C. Tullos, Scott R. Graham, Jeremy D. Jordan, Pranav R. Patel

Faculty Publications

The performance of one computer relative to another is traditionally characterized through benchmarking, a practice occasionally deficient in statistical rigor. The performance is often trivialized through simplified measures, such as the approach of central tendency, but doing so risks a loss of perspective of the variability and non-determinism of modern computer systems. Authentic performance evaluations are derived from statistical methods that accurately interpret and assess data. Methods that currently exist within performance comparison frameworks are limited in efficacy, statistical inference is either overtly simplified or altogether avoided. A prevalent criticism from computer performance literature suggests that the results from difference …

Go to article

Plasmonic Waveguides To Enhance Quantum Electrodynamic Phenomena At The Nanoscale, Ying Li, Christos Argyropoulos Feb 2021

Plasmonic Waveguides To Enhance Quantum Electrodynamic Phenomena At The Nanoscale, Ying Li, Christos Argyropoulos

Department of Electrical and Computer Engineering: Faculty Publications

The emerging field of plasmonics can lead to enhanced light-matter interactions at extremely nanoscale regions. Plasmonic (metallic) devices promise to efficiently control both classical and quantum properties of light. Plasmonic waveguides are usually used to excite confined electromagnetic modes at the nanoscale that can strongly interact with matter. The analysis of these nanowaveguides exhibits similarities with their low frequency microwave counterparts. In this article, we review ways to study plasmonic nanostructures coupled to quantum optical emitters from a classical electromagnetic perspective. These quantum emitters are mainly used to generate single-photon quantum light that can be employed as a quantum bit …

Go to article

Role Of Artificial Intelligence In The Internet Of Things (Iot) Cybersecurity, Murat Kuzlu, Corinne Fair, Ozgur Guler Feb 2021

Role Of Artificial Intelligence In The Internet Of Things (Iot) Cybersecurity, Murat Kuzlu, Corinne Fair, Ozgur Guler

Engineering Technology Faculty Publications

In recent years, the use of the Internet of Things (IoT) has increased exponentially, and cybersecurity concerns have increased along with it. On the cutting edge of cybersecurity is Artificial Intelligence (AI), which is used for the development of complex algorithms to protect networks and systems, including IoT systems. However, cyber-attackers have figured out how to exploit AI and have even begun to use adversarial AI in order to carry out cybersecurity attacks. This review paper compiles information from several other surveys and research papers regarding IoT, AI, and attacks with and against AI and explores the relationship between these …

Go to article

First Prev Next Last