Survey and Analysis on Proxy Re-Encryption Schemes

2014 ◽  
Vol 912-914 ◽  
pp. 1538-1543
Author(s):  
Zheng Tao Jiang ◽  
Yi Peng Zhang ◽  
Chen Li ◽  
Pian Niu ◽  
Xiao Li Huang
Keyword(s):  
Efficient Solution ◽  
Practical Applications ◽  
Fine Grained ◽  
Universal Models ◽  
Different Types ◽  
Encryption Schemes

Proxy re-encryption is an efficient solution to ciphertext delegation and distribution, which also enables the sender to carry out fine-grained control on his ciphertext. This paper summarizes the progress on the proxy re-encryption schemes and their practical applications. Universal models for proxy re-encryption and its security are also induced for detailed investigation on different types of PRE schemes.

scholarly journals A Deep Learning Based Printing Defect Classification Method with Imbalanced Samples

Symmetry ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1440 ◽  
Author(s):  
Erhu Zhang ◽  
Bo Li ◽  
Peilin Li ◽  
Yajun Chen
Keyword(s):  
Deep Learning ◽  
Classification Method ◽  
Coarse Grained ◽  
Defect Classification ◽  
Accuracy Rate ◽  
Practical Applications ◽  
Fine Grained ◽  
Deep Model ◽  
Different Types ◽  
Classification Tasks

Deep learning has been successfully applied to classification tasks in many fields due to its good performance in learning discriminative features. However, the application of deep learning to printing defect classification is very rare, and there is almost no research on the classification method for printing defects with imbalanced samples. In this paper, we present a deep convolutional neural network model to extract deep features directly from printed image defects. Furthermore, considering the asymmetry in the number of different types of defect samples—that is, the number of different kinds of defect samples is unbalanced—seven types of over-sampling methods were investigated to determine the best method. To verify the practical applications of the proposed deep model and the effectiveness of the extracted features, a large dataset of printing detect samples was built. All samples were collected from practical printing products in the factory. The dataset includes a coarse-grained dataset with four types of printing samples and a fine-grained dataset with eleven types of printing samples. The experimental results show that the proposed deep model achieves a 96.86% classification accuracy rate on the coarse-grained dataset without adopting over-sampling, which is the highest accuracy compared to the well-known deep models based on transfer learning. Moreover, by adopting the proposed deep model combined with the SVM-SMOTE over-sampling method, the accuracy rate is improved by more than 20% in the fine-grained dataset compared to the method without over-sampling.

scholarly journals Modeling the Compaction Characteristics of Fine-Grained Soils Blended with Tire-Derived Aggregates

2021 ◽  
Vol 13 (14) ◽  
pp. 7737
Author(s):  
Amin Soltani ◽  
Mahdieh Azimi ◽  
Brendan C. O’Kelly
Keyword(s):  
Energy Levels ◽  
Model Development ◽  
Dry Mass ◽  
Unit Weight ◽  
Power Functions ◽  
Compaction Characteristics ◽  
Practical Applications ◽  
Fine Grained ◽  
Practical Procedure ◽  
Fine Grained Soil

This study aims at modeling the compaction characteristics of fine-grained soils blended with sand-sized (0.075–4.75 mm) recycled tire-derived aggregates (TDAs). Model development and calibration were performed using a large and diverse database of 100 soil–TDA compaction tests (with the TDA-to-soil dry mass ratio ≤ 30%) assembled from the literature. Following a comprehensive statistical analysis, it is demonstrated that the optimum moisture content (OMC) and maximum dry unit weight (MDUW) for soil–TDA blends (across different soil types, TDA particle sizes and compaction energy levels) can be expressed as universal power functions of the OMC and MDUW of the unamended soil, along with the soil to soil–TDA specific gravity ratio. Employing the Bland–Altman analysis, the 95% upper and lower (water content) agreement limits between the predicted and measured OMC values were, respectively, obtained as +1.09% and −1.23%, both of which can be considered negligible for practical applications. For the MDUW predictions, these limits were calculated as +0.67 and −0.71 kN/m3, which (like the OMC) can be deemed acceptable for prediction purposes. Having established the OMC and MDUW of the unamended fine-grained soil, the empirical models proposed in this study offer a practical procedure towards predicting the compaction characteristics of the soil–TDA blends without the hurdles of performing separate laboratory compaction tests, and thus can be employed in practice for preliminary design assessments and/or soil–TDA optimization studies.

scholarly journals Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation

2020 ◽  
Vol 34 (08) ◽  
pp. 13267-13272
Author(s):  
Alex Foo ◽  
Wynne Hsu ◽  
Mong Li Lee ◽  
Gilbert Lim ◽  
Tien Yin Wong
Keyword(s):  
Diabetic Retinopathy ◽  
State Of The Art ◽  
Great Success ◽  
Automated Segmentation ◽  
Lesion Segmentation ◽  
Severity Level ◽  
Fine Grained ◽  
Acceptable Accuracy ◽  
Task Learning ◽  
Different Types

Although deep learning for Diabetic Retinopathy (DR) screening has shown great success in achieving clinically acceptable accuracy for referable versus non-referable DR, there remains a need to provide more fine-grained grading of the DR severity level as well as automated segmentation of lesions (if any) in the retina images. We observe that the DR severity level of an image is dependent on the presence of different types of lesions and their prevalence. In this work, we adopt a multi-task learning approach to perform the DR grading and lesion segmentation tasks. In light of the lack of lesion segmentation mask ground-truths, we further propose a semi-supervised learning process to obtain the segmentation masks for the various datasets. Experiments results on publicly available datasets and a real world dataset obtained from population screening demonstrate the effectiveness of the multi-task solution over state-of-the-art networks.

An Attribute-Based Searchable Encryption Scheme for Non-Monotonic Access Structure

2020 ◽  
pp. 263-283 ◽  
Author(s):  
Mamta ­ ◽  
Brij B. Gupta
Keyword(s):  
Access Control ◽  
Searchable Encryption ◽  
Access Structure ◽  
Encryption Scheme ◽  
Security Model ◽  
Secret Key ◽  
Fine Grained ◽  
Diffie Hellman ◽  
Attribute Based Encryption ◽  
Encryption Schemes

Attribute based encryption (ABE) is a widely used technique with tremendous application in cloud computing because it provides fine-grained access control capability. Owing to this property, it is emerging as a popular technique in the area of searchable encryption where the fine-grained access control is used to determine the search capabilities of a user. But, in the searchable encryption schemes developed using ABE it is assumed that the access structure is monotonic which contains AND, OR and threshold gates. Many ABE schemes have been developed for non-monotonic access structure which supports NOT gate, but this is the first attempt to develop a searchable encryption scheme for the same. The proposed scheme results in fast search and generates secret key and search token of constant size and also the ciphertext components are quite fewer than the number of attributes involved. The proposed scheme is proven secure against chosen keyword attack (CKA) in selective security model under Decisional Bilinear Diffie-Hellman (DBDH) assumption.

Work Group Reactions to New Members: Tool or Trap in Making Selection Decisions?

1984 ◽  
Vol 13 (4) ◽  
pp. 485-493 ◽  
Author(s):  
James W. Fairfield-Sonn
Keyword(s):  
Theoretical Model ◽  
Selection Process ◽  
Work Group ◽  
Employee Selection ◽  
Diagnostic Model ◽  
New Members ◽  
Practical Applications ◽  
Selection Decisions ◽  
Different Types ◽  
Specific Position

While most models of the employee selection process emphasize the need to match individuals with organizations, this paper goes a step further by suggesting work group reactions to new members should also be considered in making these decisions. A theoretical model for predicting these reactions is presented. The model suggests a group's receptivity to a new member in general and the nature of the specific position to be filled will interact to create four different types of reactions. These reactions are acceptance, avoidance, confrontation, or nurturance. After the diagnostic model is described, several practical applications of the model are discussed.

Ambivalent Humanitarian Crises and Complex Emergencies

2020 ◽  
Author(s):  
Dennis Dijkzeul ◽  
Diana Griesinger
Keyword(s):  
Academic Disciplines ◽  
International Humanitarian Law ◽  
Humanitarian Law ◽  
Humanitarian Crisis ◽  
Fine Grained ◽  
Humanitarian Action ◽  
Humanitarian Crises ◽  
Different Types ◽  
Local Actors ◽  
Definition Of

The term “humanitarian crisis” combines two words of controversial meaning and definitions that are often used in very different situations. For example, there is no official definition of “humanitarian crisis” in international humanitarian law. Although some academic disciplines have developed ways of collecting and analyzing data on (potential) crises, all of them have difficulties understanding, defining, and even identifying humanitarian crises. Following an overview of the use of the compound noun “humanitarian crisis,” three perspectives from respectively the disciplines International Humanitarian Law, Public Health, and Humanitarian Studies are discussed in order to explore their different but partly overlapping approaches to (incompletely) defining, representing, and negotiating humanitarian crises. These disciplinary perspectives often paint an incomplete and technocratic picture of crises that is rarely contextualized and, thus, fails to reflect adequately the political causes of crises and the roles of local actors. They center more on defining humanitarian action than on humanitarian crises. They also show four different types of humanitarian action, namely radical, traditional Dunantist, multimandate, and resilience humanitarianism. These humanitarianisms have different strengths and weaknesses in different types of crisis, but none comprehensively and successfully defines humanitarian crises. Finally, a multiperspective and power-sensitive definition of crises, and a more fine-grained language for comprehending the diversity of crises will do more justice to the complexity and longevity of crises and the persons who are surviving—or attempting to survive—them.

scholarly journals Evaluation Model of Adaptive Teaching Ability of College Art Teachers

2020 ◽  
Vol 15 (09) ◽  
pp. 143
Author(s):  
Fanwen Kong
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Art Teachers ◽  
Practical Applications ◽  
Different Types ◽  
Teaching Ability ◽  
Adaptive Teaching ◽  
Knowledge Age ◽  
Grey Relational ◽  
Novel Model

The existing evaluation models for the teaching ability of college art teachers are unadaptable, unsystematic and incomplete. To solve these problems, this paper puts forward a novel model to evaluate the adaptive teaching ability of college art teachers. Firstly, the teaching demand of college art teachers was analyzed in the knowledge age, highlighting the necessity to evaluate the adaptive teaching ability of college art teachers. Next, an evaluation system was established for the adaptive teaching ability of college art teachers in the knowledge age, and different types of evaluation indices were identified. On this basis, the grey relational analysis (GRA) was introduced to build an evaluation model for the adaptive teaching ability of college art teachers. The GRA-based evaluation model enjoys good operability and feasibility. To sum up, this paper fully integrates the evaluation system and evaluation model for the adaptive teaching ability of college art teachers. The research results have great significance in terms of theoretical innovations and practical applications.

On data-driven systems and system-driven data

2016 ◽  
Vol 6 (2) ◽  
pp. 153-165 ◽  
Author(s):  
Koen Van Daele ◽  
Leen Meganck ◽  
Sophie Mortier
Keyword(s):  
Real Life ◽  
Data Entry ◽  
Inventory System ◽  
Short Introduction ◽  
Content Type ◽  
Driven Systems ◽  
Practical Applications ◽  
Printed Books ◽  
Different Types ◽  
History Of

Purpose – Over the past 20 years, heritage inventories in Flanders (Belgium) have evolved from printed books to digital inventories. The purpose of this paper is to look at this evolution and highlight the interaction between the system and its users. Design/methodology/approach – After a short introduction about the history of inventories in Flanders, this paper mainly concerns itself with the last decade. Discrete topics will be highlighted to show the effects of the interaction that has taken place. Findings – It is obvious that a system that publishes a digital inventory needs to adapt to the user requirements. But, after years of working with a digital inventory system, it has become apparent that not only has the system been developed to the users’ needs, but also that user practice and the resulting data have been shaped by the system. Seeing data projected on a common basemap has led researchers to realise how intertwined and interdependent different types of heritage can be and how much their respective methodologies can benefit from more interaction. It has become apparent that data quality is of the utmost importance, something that can only be guaranteed by data entry standards, validation tools, and a strict editing workflow. The systems that are being developed are not expected to live on forever, but the data in them is. Originality/value – This paper presents real-life use cases and practical applications of building and maintaining a large digital inventory system over the years and through changes in organisational structure and focus. It provides insights that are hard to ascertain from smaller projects due to the volumes of data that are handled.

scholarly journals RFCAG2013: Russian-Finnish comparison of absolute gravimeters in 2013

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
J. Mäkinen ◽  
R.A. Sermyagin ◽  
I.A. Oshchepkov ◽  
A.V. Basmanov ◽  
A.V. Pozdnyakov ◽  
...  
Keyword(s):  
International Association ◽  
Key Comparisons ◽  
Consultative Committee ◽  
Key Comparison ◽  
Practical Applications ◽  
Comparison Results ◽  
Uncertainty Structure ◽  
Different Types ◽  
June July ◽  
Different Characteristics

AbstractIn June–July 2013,we performed a comparison of five absolute gravimeters of different types. The gravimeters were the FG5X-221 of the FGI, the FG5-110 and GBL-M 002 of the TsNIIGaiK, the GABL-PM of the IAE SB RAS, and the GABL-M of the NIIMorGeofizika (Murmansk, Russia). The three last-mentioned are field-type portable gravimeters made by the Institute of Automation and Electrometry in Novosibirsk, and this is the first international comparison for them. This Russian-Finnish Comparison of Absolute Gravimeters RFCAG2013 was conducted at four sites with different characteristics: at the field sites Pulkovo and Svetloe near St. Petersburg, and at the laboratory sites TsNIIGaIK in Moscow and Zvenigorod near Moscow. At the TsNIIGAiK site and at Zvenigorod two piers were used, such that altogether six stations were occupied. The FG5X- 221 provides the link to the CCM.G-K2 Key Comparison in Luxembourg in November 2013. Recently, the Consultative Committee for Mass and Related Quantities and the International Association of Geodesy drafted a strategy on how to best transmit the results of Key Comparisons of absolute gravimeters to benefit the geodetic and geophysical gravimetric community. Our treatment of the RFCAG2013 presents one of the first practical applications of the ideas of the strategy document, andwe discuss the resulting uncertainty structure. Regarding the comparison results, we find the gravimeters show consistent offsets at the quite different sites. All except one gravimeter are in equivalence.

scholarly journals Organelle Genetic Diversity and Phylogeography of Scots Pine (Pinus sylvestris L.)

2011 ◽  
Vol 39 (1) ◽  
pp. 317 ◽  
Author(s):  
Valentina FLORAN ◽  
Radu E. SESTRAS ◽  
María Rosario GARCÍA GIL
Keyword(s):  
Pinus Sylvestris ◽  
Chloroplast Dna ◽  
Scots Pine ◽  
Forest Products ◽  
Negative Effects ◽  
Plant Populations ◽  
Practical Applications ◽  
Biodiversity Research ◽  
Northern Fennoscandia ◽  
Different Types

The paper reviews the present knowledge of Scots pine (Pinus sylvestris L.) diversity, historical and geographical distribution, based on mitochondrial and chloroplast DNA data. The observed differences in the estimates of genetic differentiation between different types of genomes suggest that both pollen and seed contribute significantly to gene flow within species. Organelles' diversity represents an important criterion which could be later applied in planning for future forest management and breeding through a better understanding of adaptation strategies of different Scots pine haplotypes. This analysis would provide valuable references when facing current day problems with climate change, species adaptation, and loss of forest with negative effects on biodiversity. Research on organelles' diversity could lead to important practical applications in areas such as traceability and eco-certification of forest products, and the identification of plant populations for conservation. Based on the results from earlier investigations, Scots pine in Europe can be divided into at least three evolutionary units (Spain, northern/central Europe and northern Fennoscandia), each with a different origin after glaciations. However, it must be emphasized that these interpretations are preliminary and further mitochondrial and chloroplast DNA data need to be analyzed in conjunction with evidence from pollen and fossil analysis.

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