scholarly journals Giải pháp hiệu quả đảm bảo nhất quán dữ liệu chia sẻ phân tán trên nền tảng P2P có cấu trúc

2017 ◽  
pp. 22
Author(s):  
NGUYỄN HỒNG MINH ◽  
NGUYỄN XUÂN HUY
Keyword(s):  
Data Sharing ◽  
Experimental Results ◽  
Effective Solution ◽  
Input Output ◽  
Update Propagation ◽  
Simultaneous Processing ◽  
Highly Effective

There are certain difficulties in ensuring the consistency of data sharing and distribution on structured P2P substrate because of the requirements of simultaneous processing interacted by many users and peer's input/output or updated speed. This paper presents a high effective solution which is proposed for structured P2P substrate, uses the updated dissemination tree and proposes a method using buffer and index vectors in order to "condition" between the requests and processes of updating. The experimental results conducted on Oversim are aimed at comparing the efficiency of new proposed solution with that of Nakashima. The experimental results indicate that the new proposed is highly effective in ensuring the consistency (over 90%) and satisfies the requirements of latency of update propagation. Especially, in case the peer’s input/output or updated speed is high, the new proposed also achieve greater efficiency.

Knowledge Innovation Through Update Propagation in Collaborative Data Sharing Systems

2018 ◽  
pp. 191-203
Author(s):  
Mehedi Masud
Keyword(s):  
Data Sharing ◽  
Educational System ◽  
Learning Management Systems ◽  
Management Systems ◽  
Educational Systems ◽  
System Architectures ◽  
Update Propagation ◽  
Heterogeneous Learning ◽  
Learning Management ◽  
Correct Data

Innovative knowledge discovery comes through collaboration of knowledge in educational systems. In a collaborative educational system the heterogeneity of data in different learning management systems presents many difficulties for data sharing; some of these difficulties are how to integrate data, produce results for user queries, and find the correct data from heterogeneous learning management systems. In the past few years, various educational system architectures have been proposed; however, issues related to sharing data from different systems have been given less attention. Considering the lack of collaboration of knowledge this chapter investigates a problem of sharing of innovative knowledge among collaborative educational institutes. The knowledge is shared by propagation of updates. Updating innovative knowledge is done by propagating update from the originating source to other collaborative partners. The author examines update propagation in both cyclic and acyclic networks. Moreover, the authors considers cases where a source is temporarily unavailable or offline.

Secured Sharing of Data in Cloud via Dual Authentication, Dynamic Unidirectional PRE, and CPABE

2021 ◽  
pp. 504-527
Author(s):  
Neha Agarwal ◽  
Ajay Rana ◽  
J.P. Pandey ◽  
Amit Agarwal
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Recent Time ◽  
Experimental Results ◽  
Significant Issue ◽  
Computing Paradigm ◽  
Java Language ◽  
Attribute Based Encryption ◽  
Frame Work ◽  
Cryptographic Techniques

Cloud computing is an emergent computing paradigm; however, data security is a significant issue in recent time while outsourcing the data to the cloud preventing users to upload their data on cloud. The data forwarded to cloud can be protected using some cryptographic techniques based on identity, attributes, and prediction. But these algorithms lack their performance when a revoked user collude with cloud; therefore, it becomes essential to develop a secure data sharing framework with some enhanced cryptographic techniques. The proposed methodology presented a secure privacy preserving data sharing with encryption technique called dynamic unidirectional proxy re-encryption (PRE) with cipher text policy attribute-based encryption. The technique ensures the privacy, integrity, and security of the data while retrieving through the cloud. The framework is implemented in the cloud sim with java language. Experimental results proved that proposed frame work attains reasonable results compared to traditional methods.

scholarly journals Optimizing the Spectral Characterisation of a CMYK Printer with Embedded CMY Printer Modelling

2019 ◽  
Vol 9 (24) ◽  
pp. 5308
Author(s):  
Qiang Liu ◽  
Zheng Huang ◽  
Michael R. Pointer ◽  
M. Ronnier Luo
Keyword(s):  
Cellular Structure ◽  
Experimental Results ◽  
Digital Printing ◽  
Input Device ◽  
Effective Solution ◽  
Spectral Accuracy ◽  
Printing Process ◽  
Dark Tone ◽  
Spectral Characterisation

In the digital printing process, reliable colour reproduction is commonly achieved by printer characterisation, which defines the correspondence between the input device control values and the output colour information. The cellular Yule–Nielsen spectral Neugebauer model, together with its variants, is widely adopted in this topic because of its superb colorimetric and spectral accuracy. However, it seems that current studies have neglected an inconspicuous defect in such models when characterising printers equipped with black ink. That is, the cellular structure of these models overemphasises the sampling for dark-tone colours, and thus leads to relatively large errors in light tones. In this paper, taking a CMYK printer as an example, a simple and effective solution is proposed with no need of extra sampling. With the aid of a newly built cellular spectral Neugebauer model for the embedded CMY printer, this approach optimises the printer characterisation for light tones, slightly improves the precision for middle tones while it maintains the accuracy for dark tones. The performance of the proposed method was evaluated with regard to three different kinds of substrates and the experimental results validated its improvement in spectral printer characterisation.

A Fast Intra Prediction Algorithm Based on WMSE for 360-Degree Video

2020 ◽  
Vol 34 (13) ◽  
pp. 2054032
Author(s):  
Fuqi Mao ◽  
Renbo Su ◽  
Zhi Liu ◽  
Mengmeng Zhang ◽  
Wen Yue
Keyword(s):  
Virtual Reality ◽  
Video Coding ◽  
Rate Increase ◽  
Intra Prediction ◽  
Experimental Results ◽  
Prediction Algorithm ◽  
Effective Solution ◽  
Fast Intra Prediction ◽  
Time Reduction

With the increased demand for virtual reality, 360-degree video coding becomes challenging. A 360-degree video should be projected as a planar video before encoding, but this process causes distortion whose degree depends on the latitude. Traditional coding algorithms cannot effectively adapt to this feature. In this study, a fast intra prediction algorithm based on WMSE for 360-degree video is proposed. The similarity between the mother block and child blocks can reflect whether the mother block needs to be divided. Spherical weights are introduced in WMSE, and the similarity expressed by WMSE can distinguish the video of different latitude, which is consistent with the weight characteristics of ERP projection. Experimental results show that the proposed algorithm achieves 32% time reduction, with only 0.29% luma Bjontegaard delta rate (BD-rate) increase on average. The proposed algorithm provides a more effective solution to reduce the coding complexity of 360-degree video.

scholarly journals Fuzzified Pipes Dataset to Predict Failure Rates by Hybrid SVR-PSO Algorithm

2016 ◽  
Vol 10 (7) ◽  
pp. 29 ◽  
Author(s):  
Jaber Soltani ◽  
Moosa Kalanaki ◽  
Mohammad Soltani
Keyword(s):  
Support Vector Regression ◽  
Pso Algorithm ◽  
Experimental Results ◽  
Support Vector ◽  
Failure Rates ◽  
Input Output ◽  
Generalization Capability ◽  
Comparative Tests

This paper proposes a Support Vector Regression (SVR) based on Fuzzified Input-output Variables which has good comprehensibility as well as satisfactory generalization capability. SVM provides a mechanism to predict data from training ones. Then, results from proposed Fuzzified SVR-PSO (FSVR-PSO) model are compared with other methods; comparative tests are performed using pipe failures data. The analysis and the experimental results show this method has high comprehensibility as well as satisfactory generalization capability.

An Evaluation Methodology for Design Concept Communication Using Digital Prototypes

2016 ◽  
Vol 138 (3) ◽  
Author(s):  
Soheil Arastehfar ◽  
Ying Liu ◽  
Wen Feng Lu
Keyword(s):  
Statistical Methods ◽  
Consumer Products ◽  
Physical Characteristics ◽  
Experimental Results ◽  
Evaluation Methodology ◽  
Input Device ◽  
Input Output ◽  
Input Devices ◽  
Design Concepts

Digital prototypes (DPs) allow designers to communicate design concepts to users by rendering physical characteristics of the concepts. To enhance user understanding of the concepts, it is important that the users be able to make better estimates of the values of the characteristics. Correctness of the estimates can depend on two crucial factors: the ability of DPs to render the physical characteristics and the way the DPs are used to communicate the physical characteristics. However, little attention has been paid to the latter. A DP can be used in different ways, e.g., it can be projected on different backgrounds, or be manipulated using different input/output devices. Hence, it is important to identify an effective way of using DPs, via an assessment of the effectiveness of various ways. This paper introduces a methodology for evaluating the effectiveness of communication of physical characteristics to users using DPs. The methodology is used to assess the degree to which users can correctly and quickly estimate the values of the characteristics through interactions with DPs. Such assessments are then analyzed with statistical methods and hypothesis tests to reveal the effectiveness. To validate the proposed methodology, the size of hand-held electronic consumer products, such as smartphones, is considered in a case study. In the study, the effectiveness of two communication setups is evaluated. The same DP is used in both setups, while the environments and input devices are different. The experimental results show that the evaluated effectiveness can reflect how successful the setups are, and can help select the best way of using the DP, i.e., by providing a better environment, a better input device, or a combination of both.

Electronic Instrumentation for Non-Electrical Engineering Researchers

1972 ◽  
Vol 1 (2) ◽  
pp. 121-133
Author(s):  
Stanley M. Finkelstein ◽  
Kenneth R. Jolls
Keyword(s):  
Electrical Engineering ◽  
Experimental Results ◽  
Electronic Instrument ◽  
Input Output ◽  
Basic Principles ◽  
Measurement Systems ◽  
Electronic Instrumentation ◽  
Research Students ◽  
Signal Processors

The Research Instrumentation course was designed to provide the fundamentals of electronic instrument operation and design to those graduate researchers with little or no electrical engineering background. Research students need this training to obtain an understanding of how their measurement systems function and how to interpret their experimental results, which are largely acted upon and perhaps modified by systems involving transducers, signal processors, and input-output devices. This course has evolved into an integrated lecture, laboratory, demonstration package which teaches the basic principles of electronic instrumentation.

scholarly journals Thermal Performance of Plastic Receiver in Solar Collector

2019 ◽  
Vol 25 (7) ◽  
pp. 37-60
Author(s):  
Kadhim Fadhil Nasir
Keyword(s):  
Temperature Difference ◽  
Solar Collector ◽  
Storage Temperature ◽  
Water Storage ◽  
Experimental Results ◽  
Water Volume ◽  
Maximum Deviation ◽  
Input Output ◽  
Number Range ◽  
Collector Efficiency

A plastic tubes used as absorber of active flat plate solar collector (FPSC) for heating water were studied numerically and experimentally. The set-up is located in Babylon (republic of Iraq) 43.80 East longitude and 32.30 North latitude with titled of 450 toward the south direction.  The study involved three dimensions mathematical model for flat coil plastic absorber which solved by FLUENT-ANSYS-R.18 program. Experiments were conducted at outdoor conditions for clear days on January and February 2018 with various water volume flow rates namely (500, 750, 1000, 1250, and 1500 Liter per hour LPH) on each month for Reynolds number range of (1 x 104 to 5 x 104) through the receiver. The experimental results showed improvement in absorber input - output temperature difference, collector efficiency, and water storage temperature; the maximum input - output temperature difference is 3.1 °C, the maximum collector efficiency is 79%, and the maximum water storage temperature is 67 °C. The comparison validates a good agreement between the numerical and experimental results at variable operation conditions with maximum deviation of 4.2%. Also the experimental results were compared with previous study for similar condition and gave a good improvement.  

scholarly journals Sensors data collection framework using mobile identification with secure data sharing model

2019 ◽  
Vol 9 (5) ◽  
pp. 4258
Author(s):  
Fulayjan Alanazi ◽  
Ahmed Elhadad ◽  
Safwat Hamad ◽  
A Ghareeb
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Data Sharing ◽  
Electronic Devices ◽  
Experimental Results ◽  
Data Repository ◽  
Monitoring Applications ◽  
Secure Data ◽  
Environmental Events ◽  
Privacy Issues

Sensors are the modules or electronic devices that are used to measure and get environmental events and send the captured data to other devices, usually computer processors allocated on the cloud. One of the most recent challenges is to protect and save the privacy issues of those sensors data on the cloud sharing. In this paper, sensors data collection framework is proposed using mobile identification and proxy re-encryption model for data sharing. The proposed framework includes: identity broker server, sensors managing and monitoring applications, messages queuing sever and data repository server. Finally, the experimental results show that the proposed proxy re-encryption model can work in real time.

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