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Classified-edge guided depth resampling for multi-view coding

Optoelectronics Letters 2016年第1期12卷 77-80页

作者：陆宇周洋陈华华 College of Communication Engineering Hangzhou Dianzi University Hangzhou 310018 China Department of Electrical Engineering and Computer Science Oregon State University Corvallis 97331 U.S.A.

A new depth resampling for multi-view coding is proposed in this *** first,the depth video is downsampled by median filtering before *** decoding,the classified edges,including credible edge and probable edge from the aligned texture image and the depth image,are interpolated by the selected diagonal pair,whose intensity difference is the minimum among four diagonal pairs around edge *** to different category of edge,the intensity difference is measured by either real depth or percentage depth without any parameter ***,the resampled depth video and the decoded full-resolution texture video are synthesized into virtual views for the performance *** on the platform of multi-view high efficiency video coding(HEVC) demonstrate that the proposed method is superior to the contrastive methods in terms of visual quality and rate distortion(RD) performance.

关键词： Codes (symbols) Decoding Electric distortion Median filters Signal distortion

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Enhancing Communication Accessibility:UrSL-CNN Approach to Urdu Sign Language Translation for Hearing-Impaired Individuals

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computer Modeling in engineering & Sciences 2024年第10期141卷 689-711页

作者： Khushal Das Fazeel Abid Jawad Rasheed Kamlish Tunc Asuroglu Shtwai Alsubai Safeeullah Soomro Department of Computer Engineering Modeling Electronics and Systems EngineeringUniversity of CalabriaRende Cosenza87036Italy Department of Information Systems University of Management and TechnologyLahore54770Pakistan Department of Computer Engineering Istanbul Sabahattin Zaim UniversityIstanbul34303Turkey Department of Software Engineering Istanbul Nisantasi UniversityIstanbul34398Turkey Department of Computer Science COMSATS University IslamabadLahore CampusLahore54700Pakistan Faculty of Medicine and Health Technology Tampere UniversityTampere33720Finland Department of Computer Science College of Computer Engineering and Sciences in Al-KharjPrince Sattam Bin Abdulaziz UniversityP.O.Box 151Al-Kharj11942Saudi Arabia Second Department of Computer Science College of Engineering and ComputingGeorge Mason UniversityFairfaxVA 4418USA

Deaf people or people facing hearing issues can communicate using sign language(SL),a visual *** works based on rich source language have been proposed;however,the work using poor resource language is still *** other SLs,the visuals of the Urdu Language are *** study presents a novel approach to translating Urdu sign language(UrSL)using the UrSL-CNN model,a convolutional neural network(CNN)architecture specifically designed for this *** existingworks that primarily focus on languageswith rich resources,this study addresses the challenge of translating a sign language with limited *** conducted experiments using two datasets containing 1500 and 78,000 images,employing a methodology comprising four modules:data collection,pre-processing,categorization,and *** enhance prediction accuracy,each sign image was transformed into a greyscale image and underwent noise *** analysis with machine learning baseline methods(support vectormachine,GaussianNaive Bayes,randomforest,and k-nearest neighbors’algorithm)on the UrSL alphabets dataset demonstrated the superiority of UrSL-CNN,achieving an accuracy of ***,our model exhibited superior performance in Precision,Recall,and F1-score *** work not only contributes to advancing sign language translation but also holds promise for improving communication accessibility for individuals with hearing impairments.

关键词： Convolutional neural networks Pakistan sign language visual language

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The Current State of Research on Malware Written in the Rust Programming Language 11

The Current State of Research on Malware Written in the Rust...

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11th International Conference on Information Technology, ICIT 2023

作者： Praveen, Meghna Almobaideen, Wesam Rochester Institute of Technology Department of Electrical Engineering and Computing Dubai United Arab Emirates The University of Jordan Department of Computer Science Amman Jordan

ISBN: (纸本)9798350320060

Malware is conventionally written in the C/C++ programming languages. However, a recent trend has been observed where other languages are being used to write malware. One such language is the Rust programming language. In this paper, we conduct a systematic literature review to identify the current state of research on malware written in the Rust programming language. We outline the research gaps and challenges faced by researchers when studying malware written in the Rust programming language. The study found that while the industry is doing well in terms of researching and developing tools and techniques, much of it is not openly available. Moreover, there is a lack of academic research in this field, highlighting the need for academia to conduct more research to keep up with the evolving threat of malware. The study concludes that open research initiatives should be encouraged to ensure that the latest developments in malware research are accessible to all. The material in this paper is not endorsed, reviewed or approved by the Rust Foundation. © 2023 IEEE.

关键词： C++ (programming language)

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Finding effective subnetwork markers for cancer by passing messages

Finding effective subnetwork markers for cancer by passing m...

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2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11

作者： Yoon, Byung-Jun Department of Electrical and Computer Engineering Texas A and M University College Station TX United States

ISBN: (纸本)9781467304900

It is generally difficult to predict cancer outcome based on individual genes, and recent research results have shown that the use of pathway or subnetwork markers can improve the accuracy and reliability of such prediction. In this work, we propose a novel method for identifying subnetwork markers that can accurately predict cancer metastasis. The proposed method takes an efficient message passing approach to search for non-overlapping subnetwork markers in the human protein interaction network. Experimental results show that this method can identify robust subnetwork markers that may lead to enhanced cancer classifiers. ©2011 IEEE.

关键词： Diseases

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Anomaly Detection and Classification in Streaming PMU Data in Smart Grids

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computer Systems Science & engineering 2023年第9期46卷 3387-3401页

作者： A.L.Amutha R.Annie Uthra J.Preetha Roselyn R.Golda Brunet Department of Computational Intelligence SRM Institute of Science and TechnologyChennai603203India Department of Electrical and Electronics Engineering SRM Institute of Science and TechnologyChennai603203India Department of Computer Science and Engineering Government College of EngineeringSalem636011India

The invention of Phasor Measurement Units(PMUs)produce synchronized phasor measurements with high resolution real time monitoring and control of power system in smart grids that make *** are used in transmitting data to Phasor Data Concentrators(PDC)placed in control centers for monitoring purpose.A primary concern of system operators in control centers is maintaining safe and efficient operation of the power *** can be achieved by continuous monitoring of the PMU data that contains both normal and abnormal *** normal data indicates the normal behavior of the grid whereas the abnormal data indicates fault or abnormal conditions in power *** a result,detecting anomalies/abnormal conditions in the fast flowing PMU data that reflects the status of the power system is critical.A novel methodology for detecting and categorizing abnormalities in streaming PMU data is presented in this *** proposed method consists of three modules namely,offline Gaussian Mixture Model(GMM),online GMM for identifying anomalies and clustering ensemble model for classifying the *** significant features of the proposed method are detecting anomalies while taking into account of multivariate nature of the PMU dataset,adapting to concept drift in the flowing PMU data without retraining the existing model unnecessarily and classifying the *** proposed model is implemented in Python and the testing results prove that the proposed model is well suited for detection and classification of anomalies on the fly.

关键词： Smart Grid PMU data incremental learning classifying anomalies artificial intelligence

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Game Theory-Based IoT Efficient Power Control in Cognitive UAV

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computers, Materials & Continua 2022年第7期72卷 1561-1578页

作者： Fadhil Mukhlif Norafida Ithnin Omar B.Abdulghafoor Faiz Alotaibi Nourah Saad Alotaibi Information Assurance and Security Research Group(IASRG) School of ComputingFaculty of EngineeringUniversiti Teknologi MalaysiaJohorMalaysia Electronic and Telecommunication Department College of EngineeringThe American University of KurdistanIraq Faculty of Computer Science and Information Technology Universiti Putra MalaysiaSelangorMalaysia Computer Department Faculty of Applied CollegeImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

With the help of network densification,network coverage as well as the throughput can be improved via ultra-dense networks(UDNs).In tandem,Unmanned Aerial Vehicle(UAV)communications have recently garnered much attention because of their high agility as well as widespread *** this paper,a cognitive UAV is proposed for wireless nodes power pertaining to the IoT ground ***,the UAV is included in the IoT system as the source of power for the wireless nodes as well as for resource *** quality of service(QoS)related to the cognitive node was considered as a utility function based on pricing scheme that was modelled as a non-cooperative game theory in order to maximise users’net utility ***,an energy efficiency non-cooperative game theory power allocation with pricing scheme(EE-NGPAP)is proposed to obtain an efficient power control within IoT wireless ***,uniqueness and existence of the Nash equilibrium have been demonstrated mathematically and through *** results show that the proposed energy harvest algorithm demonstrated considerable decrease in transmitted power consumption in terms of average power reduction,which is regarded to be apt with the 5Gnetworks’***,the proposed algorithm requires around 4 iterations only to converge to NE which makes the algorithm more suitable in practical heterogeneous scenarios.

关键词： UAV drones WSN IoT game theory energy efficiency 5G&B5G networks

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Power System Sparse Matrix Statistics

Power System Sparse Matrix Statistics

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2022 IEEE Texas Power and Energy Conference, TPEC 2022

作者： Safdarian, F. Mao, Z. Jang, W. Overbye, T.J. Texas Am University Department of Electrical and Computer Engineering College StationTX United States

ISBN: (纸本)9781665479028

This paper provides practice-oriented statistics on the scalability and the growth of power system sparse matrix computational complexity, with the results based on models of real and synthetic electric grids, including very large grids with up to 110, 195 buses. The statistics include how the computational effort of factorizing a Jacobian matrix and the factorization path length scale with the system size $n$, which shows the number of buses. The study shows the number of nonzeros in the Jacobian matrix after factorization grows as $n^{1.07}$, the time to factor the matrix grows as $n^{1.38}$, and Forward (F) /Backward (B) substitution time grows as $n^{1.17}$. In addition, applying sparse vector methods, the fast forward/fast backward substitution (FF/FB) grows as $n^{0.45}$, which shows an improvement in the computational effort. Taking advantage of the statistics mentioned in this paper, the trend, scaling, and computation complexity of factorization steps can be easily predicted. © 2022 IEEE.

关键词： Jacobian matrices

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Design of PID and Fuzzy-PID Controllers for Agile Eye Spherical Parallel Manipulator 5

Design of PID and Fuzzy-PID Controllers for Agile Eye Spheri...

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5th IEEE Conference on Knowledge Based engineering and Innovation, KBEI 2019

作者： Khamsehei Fadaei, Mohammad Heidar Zalaghi, Alireza Rahmat Alhosseini Ghochan Atigh, Seyed Ghasem Torkani, Zahra Department of Mechanical Engineering Islamic Azad University Saveh Iran Department of Electrical and Computer School Ghiasodin University of Technology Abyek Iran Department of Electrical and Computer Engineering Shariaty Technical College Tehran Iran

ISBN: (纸本)9781728108728

In this paper, the spherical three-degree-of-freedom parallel manipulator has been called Agile Eye which is designed in *** as an analysis software for defining the constraints and variables. Then, forward kinematic equations of the Agile Eye spherical parallel manipulator are obtained. After that, the block diagram of ADAMS is used for controlling the Agile Eye spherical parallel manipulator with MATLAB software. The input signals of the ADAMS block are controlled torque to the lower links afterward the angle lower links and the end effector position of the ADAMS block will be obtained. Controllers PD, PID, and Fuzzy-PID are designed for the Agile Eye Spherical Parallel Manipulator. Then, the outcomes which have been acquired from the controllers are looking at and the best execution which will be presented. The system responses of the Fuzzy PID controller with a path planning as input for each lower links is computed which is includes a comparison between the reference model and the system responses. Finally, the position of the End Effector will be obtained. © 2019 IEEE.

关键词： Controllers

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AI-Driven Learning Management Systems:Modern Developments, Challenges and Future Trends during theAge of ChatGPT

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computers, Materials & Continua 2024年第8期80卷 3289-3314页

作者： Sameer Qazi Muhammad Bilal Kadri Muhammad Naveed Bilal AKhawaja Sohaib Zia Khan Muhammad Mansoor Alam Mazliham Mohd Su’ud Department of Computer Science Faculty of EngineeringScience and TechnologyIQRA UniversityKarachi75500Pakistan College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Engineering Department of Electrical EngineeringIslamic University of MadinahP.O.BOX 170Madinah41411Saudi Arabia Faculty of Engineering Department of Mechanical EngineeringIslamic University of MadinahP.O.BOX 170Madinah41411Saudi Arabia Faculty of Computing Riphah International UniversityIslamabad46000Pakistan Faculty of Computing and Informatics(FCI)Multimedia University Cyberjaya63100Malaysia Faculty of Engineering and Information Technology School of Computer ScienceUniversity of Technology SydneySydneyNSW 2007Australia

COVID-19 pandemic restrictions limited all social activities to curtail the spread of the *** foremost and most prime sector among those affected were schools,colleges,and *** education system of entire nations had shifted to online education during this *** shortcomings of Learning Management Systems(LMSs)were detected to support education in an online mode that spawned the research in Artificial Intelligence(AI)based tools that are being developed by the research community to improve the effectiveness of *** paper presents a detailed survey of the different enhancements to LMSs,which are led by key advances in the area of AI to enhance the real-time and non-real-time user *** AI-based enhancements proposed to the LMSs start from the Application layer and Presentation layer in the form of flipped classroom models for the efficient learning environment and appropriately designed UI/UX for efficient utilization of LMS utilities and resources,including AI-based *** layer enhancements are also required,such as AI-based online proctoring and user authentication using *** extend to the Transport layer to support real-time and rate adaptive encrypted video transmission for user security/privacy and satisfactory working of *** also needs the support of the Networking layer for IP-based geolocation features,the Virtual Private Network(VPN)feature,and the support of Software-Defined Networks(SDN)for optimum Quality of Service(QoS).Finally,in addition to these,non-real-time user experience is enhanced by other AI-based enhancements such as Plagiarism detection algorithms and Data Analytics.

关键词： Learning management systems chatbots ChatGPT online education Internet of Things(IoT) artificial intelligence(AI) convolutional neural networks natural language processing

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Automating the Process to Quantify Cyber-Physical Risk with Contingency Analysis and User Input

Automating the Process to Quantify Cyber-Physical Risk with ...

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2021 North American Power Symposium, NAPS 2021

作者： Huang, Hao Gray, Dustin Mendoza, Juan Davis, Katherine Texas AM University Department of Electrical and Computer Engineering College StationTX United States

ISBN: (纸本)9781665420815

Obtaining enough situational awareness is a critical task for power system security and reliability. With thousands of devices and various adversaries, it is hard to assess the impact of those devices under adversaries on power systems. The lack of enough situational awareness can lead the operators to misunderstand the system and make inappropriate decisions. Thus, this paper presents a framework to consider different types of contingencies for a comprehensive device-oriented risk assessment. The proposed framework considers three aspects, including the Steady State Contingency, Transient State Contingency, and Device Model Validation. Corresponding metrics have been utilized to evaluate the power system elements with respect to power system security. With the input information, the proposed framework streamlines and automates the process of quantifying the risk of different devices through different types of contingency analyses and metrics. In this way, operators can get comprehensive situational awareness to ensure the security of the system and avoid potential cascading failures. This paper uses the synthetic 200-bus case (ACTIVSg200) to illustrate the process of quantifying cyber-physical risk using the proposed framework. © 2021 IEEE.

关键词： Risk assessment

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