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Enhanced Decoder-Side Secondary Transform Derivation for Video Coding Beyond AVS3

Enhanced Decoder-Side Secondary Transform Derivation for Vid...

引用

Data Compression conference (DCC)

作者： Xin Liu Yuhuai Zhang Jiaqi Zhang Yi Su Weijia Jiang Siwei Ma National Engineering Research Center of Visual Technology School of Computer Science Peking University China Migu Interactive Entertainment Co. Ltd China

ISBN: (数字)9798331534714

ISBN: (纸本)9798331534721

The Decoder-side Secondary Transform Derivation (DSTD) method has been adopted by the exploration software of the fourth generation Audio Video coding Standard (AVS4), Exploration Video Model (EVM). Although DSTD can significantly improve the coding performance, it increases the encoding complexity simultaneously. To reduce the encoding complexity of DSTD, three enhanced DSTD methods are proposed in this paper, which consists of Deleting Mode Optimization (DMO), Intra Mode Dependent Optimization (IMDO) and Interleaved Intra Mode Dependent Optimization (IIMDO). The process of DMO is similar to that of the original DSTD method, but all the contents related to diagonal flipping have been removed. IMDO divides intra prediction modes into three areas based on the angle of the intra prediction mode, as shown in Fig. 1. Each area will correspondingly reduce a secondary transform type. IIMDO divides intra prediction modes into four areas, as shown in Fig. 2. The experimental results demonstrate that the proposed methods can effectively reduce the encoding complexity with negligible coding performance loss. The first enhanced method, Deleting Mode Optimization, has been adopted by EVM.

关键词： Video coding Data compression Transforms Encoding software Complexity theory Optimization Standards Audio-visual systems

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Battery Management System (BMS) for Electric Vehicle Applications

Battery Management System (BMS) for Electric Vehicle Applica...

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International conference on Emerging Research in Electronics, computer Science and Technology (ICERECT)

作者： Anand S Shreeram V Kulkarni Sandeep Gupta Parthasarathy V. Dept. of Electrical and Electronics Engineering Nitte Meenakshi Institute of Technology Bengaluru India Dept. of Electrical and Electronics Engineering Dr. K. N. Modi University Newai Rajasthan India Dept. of Electrical and Electronics Engineering Sir M Visvesvaraya Institute of Technology Bengaluru India

The State of Charge (SoC) is important in determining the remaining capacity of the battery pack, whereas the State of Health (SoH) indicates the battery's health. These two quantities are computed using Coulomb-counting algorithms and the measured voltage, current, and temperature. The battery's fault status is also monitored. If the temperature or current rise above their respective threshold values, the BMS ensures that the load is disconnected from the power supply. As a result, the battery is always operating within the Safe Operating Envelope (SOE). Proteus software is used for the software simulation, and Arduino, sensors, and a Lithium-ion battery are used for the hardware model.

关键词： Temperature sensors Temperature measurement Voltage measurement Battery management systems Electric vehicles software Hardware

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Experimental Analysis of Malware Detection and Classification System using Intelligent Deep Learning Methodology

Experimental Analysis of Malware Detection and Classificatio...

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Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), International conference on

作者： K. Indumathi R. Krishnaprasanna G Chamundeeswari M. Preetha Tamilvani K Senthilkumar B Department of IT Rajalakshmi Engineering College Chennai Tamil Nadu India Department of ECE Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Department of ECE Saveetha Engineering College Chennai Tamil Nadu India Department of CSE Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamil Nadu India Department of Biosciences Saveetha School of Engineering SIMATS Chennai Tamil Nadu India Department of EEE V.S.B. Engineering College Karur Tamil Nadu India

ISBN: (数字)9798350384628

ISBN: (纸本)9798350384635

computer system security relies heavily on the ability to identify and eliminate malware. Signature-based approaches are widely used, although they are not able to effectively identify zero-day assaults or polymorphic infections. This is why there is a demand for detection methods based on deep learning and categorization. computers, Smartphones, and apps are all fair game for malicious software. Malware is software that has to be watched out for since it might be a hazard for both computer users and internet-based systems. Malware was developed with the intention of stealing sensitive data from a user's computer or taking remote control of a user's device. Malware is software designed to disrupt or even destroy data on a user's computer. Malicious software can enter a computer in a number of ways, one of which occurs over a network that already has the virus installed. This project will investigate and deploy high-precision classification models using deep learning technologies from the discipline of computational intelligence to enhance the efficiency and accuracy of malware detection. Learning based Classification Scheme for Improved Malware Detection (LCSIMD) is a unique technique described in this work and utilized as the primary training model. The suggested LCSIMD framework is trained with malware visualization tools. Models with higher classification accuracy can be found by transforming malware features into images and then modifying their characteristics and input procedures; similarly, prototypes with proposed model can benefit from the use of suitable characteristics and preprocessing methods. The final step is to generate characteristics for network-generated instances, which improves the precision of small-scale training. Every one of us desire to utilize malware that impacts various devices as a teaching example, as described above. The output efficiency of the suggested technique is cross-validated with the classic Neural Network (NN) model to assess

关键词： Deep learning Training Accuracy Computational modeling Prototypes Malware computer security

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MILP Models for Flexible Job Shop Scheduling with Spatial Constraints and Sequence Flexibility *

MILP Models for Flexible Job Shop Scheduling with Spatial Co...

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IEEE International conference on Automation Science and engineering (CASE)

作者： Yunjun Han Shaoming Peng Zhen Shen Zhikun Tao Yisheng Lv Gang Xiong State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Within the evolving landscape of Industry 4.0, the significance of flexible job shop scheduling problems is increasing. This study addresses a novel category of NP-hard scheduling problems: the flexible job shop scheduling problems that incorporate site routing and operation sequencing flexibility. These problems are important in various contexts, including carrier-based aircraft scheduling, shipbuilding assembly scheduling, and cutting tool operation scheduling. For these problems, we present two new MILP models: Model-1 is a time-indexed model, and Model-2 is a precedence variable-based model. These models are evaluated under ten cases of the problems. Our findings indicate that the two models exhibit varying solution efficiencies when dealing with problems of diverse magnitudes. Model-2 performs better than Model-1 on small-scale problems, while Model-1 outperforms Model-2 on medium-scale problems.

关键词： Sequential analysis Cutting tools Job shop scheduling computer aided software engineering Atmospheric modeling Computational modeling Routing fourth Industrial Revolution Computational efficiency Time factors

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Channel Cycle Time: A New Measure of Short-Term Fairness

Channel Cycle Time: A New Measure of Short-Term Fairness

引用

IEEE conference on Wireless Communications and Networking

作者： Pengfei Shen Yulin Shao Haoyuan Pan Lu Lu Yonina C. Eldar Key Laboratory of Space Utilization Technology and Engineering Center for Space Utilization CAS Beijing China University of Chinese Academy of Sciences Beijing China State Key Laboratory of Internet of Things for Smart City University of Macau Macau S.A.R Department of Electrical and Computer Engineering University of Macau Macau S.A.R. College of Computer Science and Software Engineering Shenzhen University China Weizmann Institute of Science Rehovot Israel

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

This paper puts forth a new metric, dubbed channel cycle time (CCT), to measure the short-term fairness of Communication networks. CCT characterizes the average duration between two consecutive successful transmissions of a user, during which all other users successfully accessed the channel at least once. In contrast to existing short-term fairness measures, CCT provides more comprehensive insight into the transient dynamics of communication networks, with a particular focus on users' delays and jitter. To validate the efficacy of our approach, we analytically characterize the CCTs for two classical commu-nication protocols: slotted Aloha and CSMA/CA. The analysis demonstrates that CSMA/CA exhibits superior short-term fairness over slotted Aloha. Beyond its role as a measurement metric, CCT has broader implications as a guiding principle for the design of future communication networks by emphasizing factors like fairness, delay, and jitter in short-term behaviors.

关键词： Jitter Media Access Protocol Time measurement Real-time systems Heterogeneous networks Delays Communication networks

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Performance Characteristics of Selected Network Topology in a software-Defined Networking QoS Testing Framework

Performance Characteristics of Selected Network Topology in ...

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Frontiers of computers and Communication engineering (FCCE), International conference on

作者： Hyeong Seon Yoo William Emmanuel S. Yu Department of Information Systems and Computer Science Ateneo de Manila University Quezon City Philippines

Quality of Service in SDN/OpenFlow can be provided by making use of queues and their management techniques. This allows for better and more fine-grained control of network traffic. In this study, we test a Class-based Queuing (CBQ) algorithm for QoS provision that classifies network traffic according to the application (e.g., video traffic or HTTP traffic) over a selection of topology forms from the Internet Topology Zoo (ITZ). To accomplish this, we utilize a Mininet-based QoS Testing framework that allows for testing of various QoS algorithms. To select the networks to be tested, we use K-means clustering over the ITZ dataset according to network size for random sampling within each cluster. We show that under CBQ, HTTP stress test performance was better in clusters with smaller network size, while VLC video performance remained similar throughout clusters. KPI analysis also shows that clients closer to servers exhibited better performance than those farther away, while VLC video performance remained consistent throughout the network. The results show that the framework is able to satisfy QoS requirements while showing performance differences across various simulated network topologies.

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Image Reconstruction Improvement of Variable Coded Aperture Using Deep Learning Method for Gamma and Lensless Imaging Applications

Image Reconstruction Improvement of Variable Coded Aperture ...

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conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： Ariel Schwarz Amir Shemer Eliezer Danan Noa E. Cohen Yossef Danan Department of Electrical and Electronics Engineering Azrieli College of Engineering Jerusalem Israel Faculty of Engineering Bar-Ilan University Ramat-Gan Israel School of Software Engineering and Computer Science Azrieli College of Engineering Jerusalem Israel

ISBN: (纸本)9798350345995

In gamma ray imaging for nuclear medicine, coded aperture is used to improve sensitivity. one of the main reconstructing methods is inverse filtering (deconvolution), where the recorded image is cross-correlated with periodic inverse filter of coded array. The reconstruction is free of coding noise for arbitrary array. However, amplification of quantum noise affect the reconstructed image. Although it is improved by Wiener filtering, the major problem is small terms in the spectral distribution of coded masks. Statistically and experimentally pinhole arrays have at least one term which is zero, resulting unacceptably noisy reconstruction. In our previous research we presented new approach of variable coded aperture (VCA) design for far and near field imaging applications [1–4]. The imaging system is based on time multiplexing method using variable multi pinhole array. The unique variable design enables to overcome the spatial frequencies cutoff and small terms in the Fourier transform exists in static multi pinhole array. The overall pinholes positions are designed to avoid spatial frequencies loss. However, traces of duplications can still be detected in reconstruction using Wiener filtering. Furthermore, since coded aperture blocks most of the photons that enter the detector, the dynamic range of the image is limited, thus leading to low contrast image and inadequate colors gamut.

关键词： Deep learning Fourier transforms Image metrics Imaging systems Quantum noise Spatial frequency

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A FBMC based ISDB-Tb Digital TV Frame Proposal 4

A FBMC based ISDB-Tb Digital TV Frame Proposal

引用

4th International conference on Electrical, computer and Communication Technologies, ICECCT 2021

作者： Almeida, Jefferson Jesus Hengles Lopes, Paulo Batista Akamine, Cristiano Mackenzie Presbyterian University Graduate Program in Electrical Engineering and Computing São Paulo Brazil

ISBN: (纸本)9781665414807

Nowadays, one of the challenges of communications systems is to enhance spectrum utilization and data rate without robustness loses. This situation is more perceptive in digital television applications, since there is a constant need of providing better experiences to the users with the transmission of higher resolution videos. In this context, novel approaches for the physical layer of such systems are subject of intense research, including investigation on the effect of replacing the Orthogonal Frequency Division Multiplexing (OFDM) technique currently used by other modulation schemes such as Filter Bank Multi Carrier (FBMC). This article presents a novel FBMC based frame implementation for the Integrated Services Digital Broadcasting Terrestrial Version B (ISDB-TB), developed as a software defined radio (SDR). The results show the robustness and rate gains of FBMC and prove that ISDB-TB frame can be modified to enhance the performance in Digital TV applications. © 2021 IEEE.

关键词： Digital television

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Towards the right direction in bidirectional user interfaces 21

Towards the right direction in bidirectional user interfaces

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2021 CHI conference on Human Factors in Computing systems: Making Waves, Combining Strengths, CHI 2021

作者： Goldenberg, Yulia Tractinsky, Noam Software and Information Systems Engineering Ben-Gurion University of the Negev Beer Sheva Israel

ISBN: (纸本)9781450380966

Hundreds of millions of speakers of bidirectional (BiDi) languages rely on writing systems that mix the native right-to-left script with left-to-right strings. The global reach of interactive digital technolo-gies requires special attention to these people, whose perception of interfaces is afected by this script mixture. However, empirical research on this topic is scarce. Although leading software ven-dors provide guidelines for BiDi design, bidirectional interfaces demonstrate inconsistent and incorrect directionality of UI ele-ments, which may cause user confusion and errors. Through a websites' review, we identifed problematic UI items and considered reasons for their existence. In an online survey with 234 BiDi speakers, we observed that in many cases, users' direction preferences were inconsistent with the guidelines. The fndings provide potential insights for design rules and empirical evidence for the problem's complexity, suggesting the need for further em-pirical research and greater attention by the HCI community to the BiDi design problem. © 2021 ACM.

关键词： User interfaces

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ADAMAP: Automatic Alignment of Relational Data Sources Using Mapping Patterns 33rd

ADAMAP: Automatic Alignment of Relational Data Sources Using...

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33rd International conference on Advanced Information systems engineering (CAiSE)

作者： Calvanese, Diego Gal, Avigdor Haba, Naor Lanti, Davide Montali, Marco Mosca, Alessandro Shraga, Roee Free Univ Bozen Bolzano Bolzano Italy Umea Univ Umea Sweden Technion Israel Inst Technol Haifa Israel

ISBN: (纸本)9783030793821;9783030793814

We propose a method for automatically extracting semantics from data sources. The availability of multiple data sources on the one hand and the lack of proper semantic documentation of such data sources on the other hand call for new strategies in integrating data sources by extracting semantics from the data source itself rather than from its documentation. In this work we focus on relational databases, observing they are created from semantically-rich designs such as ER diagrams, which are often not conveyed together with the database itself. While the relational model may be semantically-poor with respect to ontological models, the original semantically-rich design of the application domain leaves recognizable footprints that can be converted into ontology mapping patterns. In this work, we offer an algorithm to automatically detect and map a relational schema to ontology mapping patterns and offer an empirical evaluation using two benchmark datasets.

关键词： Semantics

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