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A Blind Batch Encryption and Public Ledger-Based Protocol for Sharing Sensitive Data

China Communications 2024年第1期21卷 310-322页

作者： Zhiwei Wang Nianhua Yang Qingqing Chen Wei Shen Zhiying Zhang School of Computer Sciences Nanjing University of Posts and TelecommunicationsNanjing 210023China Dept.of Intelligent Science and Information Law East China University of Political Science and LawShanghai 201620China Key Laboratory of Computational Science and Application of Hainan Province Hainan Normal UniversityHaikou 571158China State Key Laboratory of Public Big Data Guizhou UniversityGuizhou 550025China Yunnan Key Laboratory of Blockchain Application Technology Yunnan Innovation Research Institute of Beijing University of Aeronautics and AstronauticsKunming 650233

For the goals of security and privacy preservation,we propose a blind batch encryption-and public ledger-based data sharing protocol that allows the integrity of sensitive data to be audited by a public ledger and allows privacy information to be *** owners can tightly manage their data with efficient revocation and only grant one-time adaptive access for the fulfillment of the *** prove that our protocol is semanticallly secure,blind,and secure against oblivious requesters and malicious file *** also provide security analysis in the context of four typical attacks.

关键词： blind batch encryption data sharing onetime adaptive access public ledger security and privacy

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A Multistep Ahead Predictive Analysis of Crude Oil 2

A Multistep Ahead Predictive Analysis of Crude Oil

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2nd IEEE International Conference on Blockchain and Distributed Systems Security, ICBDS 2023

作者： Mohapatra, Srikanta Kumar Singh, Kamakhya Narayan Sarangi, Prakash Kumar Sahu, Premananda Mohanty, Jayashree Chitkara University Institute of Engineering and Technology Chitkara University Punjab India School Of Computer Application KIIT Deemed University Odisha India Hyderabad India School of Computer science and Engineering Lovely professional University Punjab India Chandigarh University Dept.of AIT-CSE Punjab Chandigarh Mohali India

ISBN: (纸本)9798350333763

The population is increasing in a rapid manner and the number of vehicles is increasing in the same ratio. Also, crude oils are very useful towards the energy needs in the industries. As a result, a day will come when we face the issue of feeling the vehicles with the petrol to run the vehicle and to run the industries. So, the solution is to find out the period up to which we can use the crude oil which is currently present in the world. To get a conclusion the most populated countries India and China is taken as reference. For simulation purpose time series based Artificial Neural Network application along with Facebook Prophet is used. Facebook Prophet is used to predict future situations in time series data related to oil production and consumption in two top countries by population, China, and India, over a period of 32 years. NeuralProphet is used for modelling time-series based on neural networks forecasting the near-term oil crisis. The dataset used in this study contains three characteristics, namely population, oil production, and consumption, and is obtained from different government sources. The best part of this model is that it can predict multi step ahead of given current data as required. The method based on NeuralProphet is best suit for the time series prediction for short period or long period. It can be used in multistep ahead prediction methods. It is predicted that by 2050 the scarcity of the petroleum is most. So, the solution is either to reduce the uses of vehicles, control the population or simply go for an alternate fuel like hydrogen could be considered a suitable substitute for oil. This prediction highlights the need for sustainable energy sources to meet the energy demand in the future. In conclusion, this paper presents NeuralProphet approach for forecasting future oil consumption and production trends combining the Facebook Prophet and NeuralProphet method. © 2023 IEEE.

关键词： Time series

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Viterbi based document classification with long short term memory

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Test Engineering and Management 2020年 83卷 6042-6050页

作者： Vetriselvi, T. Gopalan, N.P. Bee, Kairunisha K. Dept of Computer Science and Engineering K.Ramakrishnan College of Technology Tiruchirappalli Tamilnadu India Dept.Of Computer Application National Institute of Technology Tiruchirappalli Tamilnadu India

Nowadays, the number of documents published are widely increasing, for the efficient retrieval of the document, classification of the document based on the similarity to the particular domain needs to be done and then the ranking of papers also need to be done, which results in the effective retrieval of the document. This document classification is very helpful in the information retrieval system, which reduces the time of retrieval. There are different methods for classification, like Naive Bayes Classifier, Support Vector Machines, Artificial Neural Network, Latent Semantic Indexing, K-Nearest Neighbor Algorithm, etc. In this paper we use Latent Semantic Indexing (LSI)is one of the best approaches for classification of the document which uses the mathematical method called Singular Value Decomposition(SVD) for classification of documents. The Parts of Speech (POS) tagging are also used in these types of classification which helps to improve the performance of the system. We use the Viterbi algorithm along with Long Short Term Memory(LSTM) to find the POS tags for each word in the document. The LSTM and bidirectional LSTM is also compared by combining different POS tag identification algorithm and the best method is used in this architecture of theproposed system of classification. © 2020 Mattingley Publishing. All rights reserved.

关键词： Long short-term memory

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A Multistep Ahead Predictive Analysis of Crude Oil

A Multistep Ahead Predictive Analysis of Crude Oil

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Blockchain and Distributed Systems Security (ICBDS), IEEE International Conference on

作者： Srikanta Kumar Mohapatra Kamakhya Narayan Singh Prakash Kumar Sarangi Premananda Sahu Jayashree Mohanty Chitkara University Institute of Engineering and Technology Chitkara University Punjab India School Of Computer Application KIIT Deemed University Odisha India Department Of CSE(AI&ML) Vardhaman College of Engineering and Technology Hyderabad India School of Computer science and Engineering Lovely professional University Punjab India Dept.of AIT-CSE Chandigarh University Mohali Chandigarh Punjab India

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Computing Overlapping Signal Influence on Gain Characteristics of EDFA

Computing Overlapping Signal Influence on Gain Characteristi...

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VLSI Device Circuit and System (VLSI DCS), IEEE

作者： Arpan Deyasi Pampa Debnath Soumen Santra Dept. of Electronics and Communication Engineering RCC Institute of Information Technology Kolkata India Dept.of Computer Application Techno International New Town Kolkata India

ISBN: (数字)9781728119335

ISBN: (纸本)9781728119342

Effect of signal overlapping integral and pump overlapping integral are analytically computed for Erbium Doped Fiber Amplifier (EDFA) for gain profile estimation over a longer range of fiber length. Different ranges of the integral functions are taken into account to achieve constant gain, and results are pictorially displayed when fiber length is over 5 m. Under those values of integral functions, doping ion concentration, absorption cross-section and pump local saturation power are independently tuned for the same objective. Interesting result is obtained which speaks that for 5 m fiber length, gain becomes minimum at any practical range of pump saturation power, though it becomes stabilized.

关键词： Optical fiber amplifiers Erbium-doped fiber amplifiers Optical fiber devices Erbium Absorption Optical fiber communication

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A Modified Canny Edge Detection Approach to Early Detection of Cancer Cell 3

A Modified Canny Edge Detection Approach to Early Detection ...

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3rd International Conference on Electronics, Materials Engineering and Nano-technology, IEMENTech 2019

作者： Santra, Soumen Mandal, Surajit Das, Kunal Bhattacharjee, Joy Roy, Avijit Dept. of Computer Application Techno International Newtown Kolkata India B P Poddar Inst of Mgmt and Technology Dept.of Electronics and Comm Engg Kolkata India Narual Institute of Technology Dept. of Computer Science and Engg Kolkata India A. P. C College Dept. of Electronic Science Barasat India Murshidabad Medical College Hospital Dept. of General Surgery Baharampur India

ISBN: (纸本)9781728155432

Canny Edge Detection technique is considered to be one of the most efficient techniques over other edge detection techniques. However this technique has some limitations;the computation time is very high because of its complexity in processing. When applied on medical images, sometimes it detects edges which are not desired. In this communication we present an edge detection technique which may be considered as a Modified Canny Edge Detection (MCED) technique. This work is developed using MATLAB and analysis is done using medical images where we can detect the malign portions easily through the segmentation portions. © 2019 IEEE.

关键词： Image segmentation

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Correction to: Topological localization approach for efficient energy management of WSN

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Evolutionary Intelligence 2021年第2期17卷 729-729页

作者： Mohapatra, Hitesh Rath, Amiya Kumar Lenka, Rakesh K Nayak, Rudra Kalyan Tripathy, Ramamani Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Guntur India Department of Computer Science & Engineering Veer Surendra Surendra Sai University of Technology Burla India NAAC Banglore India Department of Computer Science & Engineering IIIT Bhubaneswar India Dept.of Master of Computer Application United School of Business Management Bhubaneswar India

A correction to this paper has been published: https://***/10.1007/s12065-021-00631-9

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A pipelined-based multi-thread acceleration method for remote sensing image progressive transmission

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2016年第9期9卷 123-138页

作者： Qu, Haicheng Zhang, Junping Meng, Yu Dept. of Information Engineering Harbin Institute of Technology Harbin China Dept. of Software Engineering Software College of Liaoning Technical University Huludao China Dept.of Computer Application Technology College of Information Science and Engineering Northeastern University Shenyang China

In order to meet the different data browsing requests for different users to the visual quality of remote sensing images in heterogeneous network especially under narrow bandwidth environments, an online remote sensing image progressive transmission model is constructed in which remote sensing image compression and decompression are synchronized with transmission. At the same time, a pipeline-based multi-threaded acceleration method has been proposed through solving the asynchronous problem between compression decompression and transmission to improve the efficiency of remote sensing progressive transmission. At last, an idea of retry broken downloads transmission interruption has been implemented to improve end-user interactive experience. Experimental results show that the whole processing speed has been improved nearly twice without reducing image transmission quality and the amount of data transmission was reduced evidently by using the proposed progressive transmission and real-time compression model. © 2016 SERSC.

关键词： Image enhancement

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Analysis of knowledge based graphical password authentication

Analysis of knowledge based graphical password authenticatio...

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The 6th International Conference on computer Science & Education(第六届国际计算机新科技与教育学术会议 ICCSE 2011)

作者： Gaurav Agarwal Saurabh Singh Ajay Indian Dept.of Computer Science Invertis University Bareilly India Dept.of Information Technology Invertis University Bareilly India Dept.of Computer Application Invertis University Bareilly India

Security itself has unique usability challenges because the requirements of security often standard human-computerinteraction approaches cannot be directly applied. An important usability goal for authentication systems is to support users in selecting better passwords, thus increasing security by expanding the effective password space. We examine the security of knowledge based graphical passwords and their techniques. In our analysis we present the results of an initial users study which present the statically analysis of knowledge technique.

关键词： graphical password authentication security

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An In-vitro Study on Lysing Adipose Tissues by Shock Waves

An In-vitro Study on Lysing Adipose Tissues by Shock Waves

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The Fourth Across-strait Workshop on Shock Wave/Vortex Interaction(第四届海峡两岸激波/涡相互作用学术交流会)

作者： S.M.Liang J.N.Yeh J.J.Yan L.R.Wan J.W.Lee Dept.of Computer Application Far East University of TechnologyTainan CountyTaiwan Dept.of Aeronautics and AstronauticsNational Cheng Kung UniversityTainanTaiwan Dept.of PathologyNational Cheng Kung University Hospital TainanTaiwan Dept.of Plastic SurgeryNational Cheng Kung University HospitalTainanTaiwan

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