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Study of a nonlinear Schrodinger equation with truncated M proportional derivative

Optik 2023年第1期290卷

作者： Abdel-Gawad, Hamdy I. Sulaiman, Tukur Abdulkadir Ismael, Hajar Farhan Mathematics Department Faculty of Science Cairo University Cairo Egypt Department of Computer Engineering Biruni University Istanbul34010 Turkey Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Department of Mathematics Faculty of Science University of Zakho Zakho42002 Iraq Department of Computer Science College of Science Knowledge University Erbil44001 Iraq

In this work, we introduce a novel truncated M proportional (T-MP) derivative and consider a T-MP perturbed derivative nonlinear Schrodinger equation (PDNLSE). The PDNLSE is a nonlinear model which arises in nano optical fibers (photonic nanowires). While the DNLSE exhibits self-steepening (SS), the PDNLSE exhibits self-phase modulation (SPM) and Raman scattering (RS) effects, Here, the exact solutions of the PDENLSE are derived, here, by implementing the unified method. These solutions are displayed in graphs. It is found that a sufficient condition for a hyper-chaotic solution to hold is that an elliptic function solution exists. Non elliptic solutions may be, also, hyper-chaotic. It is worth mentioning that hyper chaotic may occur in economic and financial mathematics. Nonchaotic solutions exhibit many geometric structures, chirped solitons, and rhombus-shaped and M-shaped solitons. It is found that modulation instability triggers when the coefficient of the third-order dispersion exceeds a critical value. Further, the global bifurcation is investigated via phase portrait by constructing the Hamiltonian function. © 2023 Elsevier GmbH

关键词： Solitons

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Utilizing Deep Reinforcement Learning for Advanced Pattern Extraction in Big Data Analytics and Ontology Systems 2

Utilizing Deep Reinforcement Learning for Advanced Pattern E...

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2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Karthik, A. Asha, V. Bhardwaj, Garima Nijhawan, Ginni Khan, Irfan Bader, Nabaa M. Institute of Aeronautical Engineering Dundigal Hyderabad India New Horizon College of Engineering Department of Computer Applications Bangalore India Amity University Amity Business School Uttar Pradesh Greater Noida India Lovely Professional University Phagwara India Lloyd Institute of Engineering & Technology Uttar PradeshKnowledge Park II Greater Noida201306 India National University of Science and Technology College of Technical Engineering Dhi Qar Iraq

ISBN: (纸本)9798350384277

The development of big data has provided unparalleled prospects for uncovering novel patterns and insights in several domains. However, the complex structure and volume of data need the use of advanced methods to successfully extract significant information. This research presents a new framework that utilizes Deep Reinforcement Learning (DRL) to improve pattern extraction in big data analytics and ontology systems. DRL, which combines deep learning with reinforcement learning, excels at dealing with data spaces that have a large number of dimensions. This makes it a good option for effectively exploring and analyzing complex datasets. The suggested framework effectively utilizes sophisticated ontological structures to integrate DRL, enabling it to accurately identify and extract complex patterns that may be overlooked by standard approaches. The study showcases the effectiveness of the framework by conducting extensive tests on diverse big datasets, demonstrating that the DRL-enhanced system surpasses previous methods in terms of both accuracy and speed. The study also addresses architectural design, the choice of reinforcement learning methods, and the found implementation issues. Moreover, it delves into the consequences of these discoveries for subsequent investigations and real-world implementations, emphasizing the capacity of DRL to transform the identification of patterns in large-scale data settings. This work enhances the area of big data analytics by offering a strong technique for extracting complex patterns, which in turn enables better informed decision-making and discovery in scientific and commercial sectors. © 2024 IEEE.

关键词： Deep reinforcement learning

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Integrity Estimation of Twitter Based Event Recognition Using Scrutiny of Analyzed Data

Integrity Estimation of Twitter Based Event Recognition Usin...

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Emerging Trends in Information Technology and engineering (ic-ETITE), Conference on

作者： Siva Rama Lingham N M Parameswari Karthick P T. Subha Rathi Priya G Rajesh J. Jagannathan Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of Computer Science and Engineering Knowledge Institute of Technology Salem India Department of Computer Science and Engineering Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College Chennai India School of Engineering and Technology Jeppiaar University Chennai India Department of Software and Systems Engineering School of Computer Science Engineering and Information Systems Vellore Institute of Technology Katpadi Vellore India

Twitter has been observed to be one of the essential data resources for dependable event accreditation. In any case, Twitter-based event affirmation structures can't guarantee assessment concerning their attestation results. Talk statement has been locked in starting late to enable liberal event Recognition. This problem is not yet evident in light of the assumption that most people tend to think that they have a specific limit to the data on Twitter that have frames based on events based on Twitter. Current appraisals see new pieces by seeing and looking at the significant psychological aspects of hitting the details on Twitter. No matter, the scale of the visual cues can be well established, with the intention that it is essential to design an integrated Twitter experiment with another set of extensible data resources to rectify this problem. The problem is the processes by which you should wholeheartedly investigate all converted data because it has different data structures, transfer times, etc. This issue of address, the paper proposes a framework for evaluating the use of Twitter-based events and examines two types of data resources for the reliability of impact testing. Our framework uses the resultant of the request obtaining by various events and relevant to the articles on it. This paper has improved the cleaning test with the proposed process how the integrity estimation of twitter based event can be recognized with the help of group of analyzed data. The evaluation indicates that the proposed system provides visible high-level testing events and a variety of low-level testing events.

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Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning

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IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 47-63页

作者： Yongliang Yang Zihao Ding Rui Wang Hamidreza Modares Donald C.Wunsch Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education School of Automation&Electrical EngineeringUniversity of Science and Technology BeijingBeijing 100083China School of Automation Beijng Institute TechnologyBeijing 100081China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Mechanical Engineering Department Michigan State UniversityEast LansingMI 48824 USA Department of Electrical&Computer Engineering Missouri University of Science&TechnologyRollaMO 65401 USA

In this paper,we present a novel data-driven design method for the human-robot interaction(HRI)system,where a given task is achieved by cooperation between the human and the *** presented HRI controller design is a two-level control design approach consisting of a task-oriented performance optimization design and a plant-oriented impedance controller *** task-oriented design minimizes the human effort and guarantees the perfect task tracking in the outer-loop,while the plant-oriented achieves the desired impedance from the human to the robot manipulator end-effector in the ***-driven reinforcement learning techniques are used for performance optimization in the outer-loop to assign the optimal impedance *** the inner-loop,a velocity-free filter is designed to avoid the requirement of end-effector velocity *** this basis,an adaptive controller is designed to achieve the desired impedance of the robot manipulator in the task *** simulation and experiment of a robot manipulator are conducted to verify the efficacy of the presented HRI design framework.

关键词： Adaptive impedance control data-driven method human-robot interaction(HRI) reinforcement learning velocity-free

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Indirect Website Evaluation: Currently Available Tools 8

Indirect Website Evaluation: Currently Available Tools

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8th International Conference on Web Research, ICWR 2022

作者： Saeidnia, Hamidreza Kozak, Marcin Saeidnia, Sara Tarbiat Modars University Department of Knowledge and Information Science Tehran Iran University of Information Technology and Management Department of Media Journalism and Social Communication Rzeszow Poland Payam Noor University Department of Computer Engineering Ilam Iran

ISBN: (纸本)9781665466264

For most institutions, the World Wide Web has been the main source of information in recent years. Evaluation of a website reveals the overall and actual performance of that website. Identifying a website's strengths and weaknesses is significantly important to any institution. Therefore, in this study, we seek the answer to the question 'When evaluating a website, what kind of questionnaires can be used?' The purpose of this article is to give an overview of different questionnaires for the evaluation of web pages. In addition, it explains how these questionnaires can be used. To do this, we used a simple review of the internet to find questionnaires that evaluate the quality of websites. © 2022 IEEE.

关键词： Websites

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Secure and efficient sensitive info-hiding for data sharing via daces method in cloud 3rd

Secure and efficient sensitive info-hiding for data sharing ...

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3rd International Conference on Big-Data and Cloud Computing, ICBDCC 2019

作者： Raj, R. Joshua Samuel Praise, J. Jeya Prakash, M. Viju Silva, A. Sam Department of Information Science and Engineering CMR Institute of Technology VTU BengaluruKarnataka India Department of Computer Science and Engineering Rajas Engineering College VadakkangulamTamil Nadu India Department of Computer Science College of Science Knowledge University Kurdistan Region Erbil Iraq

ISBN: (纸本)9789811552847

Cloud computing has been developed very quickly within the past few years. With public cloud storage services, users can store remotely to servers in cloud and also recognize the sharing of data with other users. The public cloud servers cannot be completely trusted by users and cannot manage records kept on cloud like local storage devices. However, within cloud storage systems, stored data would possibly contain sensitive info which should not be visible to other users while sharing record in cloud. This becomes a challenge to realize secure and efficient information sharing within cloud. However, existing cryptographic mechanisms do not protect shared sensitive data which are typically protected using a low-entropy password. To tackle this, Division and Auditing of information in Cloud for Efficiency and Security (DACES) is recommended in order to treat the above issues for public cloud storage. In DACES: (i) Erasure code is applied to divide a single record into blocks and distributed them to different cloud servers. (ii) Privacy of data owner and data sharing with sensitive info-hiding is achieved by secure data integrity auditing scheme. (iii) Identity-based access management is implemented to recognize that only authorized users will access the sensitive information. Furthermore, the proposed method is secure and efficient for information sharing in cloud environment. At last, its application is in electronic health (E-health) record. © Springer Nature Singapore Pte Ltd 2021.

关键词： Cloud storage

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Enhancing The Attractiveness of Coloring Books Using Live Texturing Augmented Reality

Enhancing The Attractiveness of Coloring Books Using Live Te...

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Informatics engineering, science & Technology (INCITEST), International Conference on

作者： Hanhan Maulana Jajang Saeful Anshor Hideaki Kanai Department of Informatics Engineering and Computer Science Universitas Komputer Indonesia Bandung Indonesia The School of Knowledge Science Japan Andvanced Institute of Technology and Science Ishikawa Japan

This study aims to build live texturing augmented reality to enhance the attractiveness of coloring books. This research has four main stages, namely data gathering, object preparations, software development and evaluations. This study uses UNITY 3D in building a Live Texturing Augmented Reality System. The AR method used is the Marker method. Users can color the marker. The 3D object will follow the color given to the marker in real time. This system is expected to increase children's attraction to coloring. It is hoped that children's understanding of color can also be improved. Furthermore, this system is expected to help children in deciding on color selection so that children's creativity is getting better.

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A Survey on Network Packet Inspection and ARP Poisoning Using Wireshark and Ettercap

A Survey on Network Packet Inspection and ARP Poisoning Usin...

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2021 International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021

作者： Majidha Fathima, K.M. Santhiyakumari, N. Sri Krishna College of Engineering and Technology Coimbatore Department of Computer Science and Engineering India Knowledge Institute of Technology Department of Electronics and Communication Engineering Salem India

ISBN: (纸本)9781728195377

A network consists of a collection of nodes such as hubs, bridges, switches, routers, firewalls, brouters, packet shapers. The hubs help in connecting two devices. The bridges and switches function in layer 2 of ISO-OSI (Open Systems Interconnection). Routers perform the role of delivering packets from source to destination. Firewalls protect the networks by filtering the traffic between sender and receiver. The packet shapers help in regulating the traffic by cutting out spikes in a connectivity. The network is being utilized as 24∗7 days support. The network is being exposed to various kinds of attacks such as ARP (Address Resolution Protocol), DDOS (Distributed Denial of Service). Hence the performance monitoring plays a vital role in preserving a network. The tools such as wireshark and ettercap are being analyzed in this paper. The network traffic is being interpreted by wireshark. Ettercap analyzes ARP poisoning attack. The preventive actions are taken based on the output of the monitoring tools. © 2021 IEEE.

关键词： Denial-of-service attack

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Bridging the Gap with Sensor Networks and Cloud Computing in the Geospatial Web for Optimized Data Services 7

Bridging the Gap with Sensor Networks and Cloud Computing in...

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7th International Conference on Contemporary Computing and Informatics, IC3I 2024

作者： Veeresh, G. Sreevani, N. Lakhanpal, Sorabh Sharma, Saurabh Reddy, B.Ravali Al-Rubaye, Taqi Mohammed Khattab New Horizon College of Engineering Bangalore India Dundigal Hyderabad500043 India Lovely Professional University Phagwara India Lloyd Law College Plot No. 11 Knowledge Park II Uttar Pradesh Greater Noida201314 India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India The Islamic University College of Medical Technologies Department of Medical Laboratory Technology Najaf Iraq

ISBN: (纸本)9798350350067

Implementing cloud computing and data networks for local internet services is a priority. This research addresses the issue by introducing a novel approach to enhance the quality of regional internet data services. The proposed technique, Geographical Data Fusion with Dynamic Cloud Resource Allocation (GDF-DCRA), enhances map analytics by combining geographical data fusion with dynamic cloud resource allocation. GDF-DCRA enhances the speed of geospatial analytics by reducing sensor data, efficiently allocating cloud resources, and integrating spatial and temporal data. It consistently outperforms six industry benchmarks in terms of speed, latency, scalability, data accuracy, bandwidth efficiency, fault tolerance, and resource utilisation. Despite the increasing difficulty of working with real-time location data, the proposed approach has the potential to address these challenges. © 2024 IEEE.

关键词： Spatio-temporal data

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A survey on evolution of cloud technology and virtualization 3

A survey on evolution of cloud technology and virtualization

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3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Majidha Fathima, K.M. Santhiyakumari, N. Sri Krishna College of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Knowledge Institute of Technology Department of Electronics and Communication Engineering Salem India

ISBN: (纸本)9780738111834

The term cloud is termed as a collection of resources both physical and virtual. The customers across the globe are accessing the services of the cloud. The key elements of the data center formed by the cloud are compute, network, storage, application and DBMS (Database Management System). The services provided by a real machine are imitated by the virtual machines. The services offered are for resources like CPU (Central Processing Unit), NIC (Network Interface Card), memory and hard disk. NIC is used to connect the system to the network. The virtual machines are created by software's like hypervisor. The hypervisor serves as the Virtual Machine Monitor (VMM). It forms as an intermediate between the physical machine and virtual machine. VMware Workstation Pro, Oracle Virtual Box are the examples of hypervisor. The operating system (OS) of the real machine is called as 'host OS'. 'Guest OS' is the operating system of the virtual machine formed. The number of virtual machines created depends on the underlying hardware of the physical machine with sophisticated hard disks like SSD (Solid State Drive). A virtualized data center with resources is simulated using CloudSim and the results are interpreted. © 2021 IEEE.

关键词： Program processors

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