scholarly journals A NOVEL IMAGE THEFT IDENTIFICATION USING BIOMETRIC FEATURE

2017 ◽  
Vol 10 (13) ◽  
pp. 385
Author(s):  
Jincy J Fernandez ◽  
Nithyanandam Pandian ◽  
Raghuvamsh Chavali ◽  
Ashwanth Kumar Appalaghe
Keyword(s):  
Image Quality ◽  
Research Work ◽  
Basic Component ◽  
Digital Data ◽  
Digital Form ◽  
Detection Model ◽  
Assessment Metrics ◽  
Micro Level ◽  
Image Assessment ◽  
Biometric Feature

In today’s internet world, all the data are represented and stored in digital form. Almost any entity in this world can be represented digitally, ranging from simple text to complex multimedia work. Now, the challenge is to claim the ownership and prevent theft of one’s own digital data. Multimedia theft has driven the attention of many stakeholders who spend huge money and precious time in creating or making such valuable digital data. Among all the multimedia entities, image files are more vulnerable for theft since it is the basic component of any visuals. The notion of this research work is to propose an image theft detection model which will determine whether partial theft or complete theft of an image has occurred or not. A biometric feature, i.e., fingerprint of the owner is embedded on the digital image at a micro level, such that even a very small portion of image theft can be determined, and the ownership of the image can be claimed by the owner. This research is limited to the spatial domain, i.e. raw image. Assessment metrics of the results shows that embedding the biometric feature on an image does not distort the image quality and its artifacts.

Attending to data: Exploring the use of attendance data within the datafied school

2021 ◽  
pp. 003452372098420
Author(s):  
Neil Selwyn ◽  
Luci Pangrazio ◽  
Bronwyn Cumbo
Keyword(s):  
Secondary Schools ◽  
Empirical Data ◽  
Qualitative Studies ◽  
Digital Data ◽  
Data Driven ◽  
School Staff ◽  
Digital Form ◽  
Student Attendance ◽  
Contemporary Schooling

Contemporary schooling is seen to be altering significantly in light of a combined ‘digitisation’ and ‘datafication’ of key processes. This paper examines the nature and conditions of the datafied school by exploring how a relatively prosaic and longstanding school metric (student attendance data) is being produced and used in digital form. Drawing on empirical data taken from in-depth qualitative studies in three contrasting Australian secondary schools, the paper considers ‘anticipatory’, ‘analytical’ and ‘administrative’ aspects of how digitally-mediated attendance data is produced, used and imagined by school staff. Our findings foreground a number of constraints, compromises and inconsistencies that are usually glossed-over in enthusiasms for ‘data-driven’ education. It is argued that these findings highlight the messy realities of schools’ current relationships with digital data, and the broader logics of school datafications.

scholarly journals Brain Tumor Detection from MR Images using Image Process Techniques and Tools in Matlab Software

2021 ◽  
Vol 1 (4) ◽  
pp. 1-4
Author(s):  
Faisal Rehman ◽  
◽  
Syed Sheeraz Ali ◽  
Hamadullah Panhwar ◽  
Dr. Akhtar Hussain Phul ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Image Quality ◽  
Research Work ◽  
Cost Effective ◽  
Image Process ◽  
Medical Sciences ◽  
Mr Images ◽  
Research Areas ◽  
Tumor Identification ◽  
The Brain

In the medical era the Brain tumor is one of the most important research areas in the field of medical sciences. Researcher are trying to find the reliable and cost effective medical equipment’s for the cancer and its type for the diagnosed, especially tumor has deferent kinds but the major two type are discussed in this research paper. Which are the benign and Pre-Malignant, this research work is proposed for these factors such as the accuracy of the MRI image for the tumor identification and actual placing were taken into consideration. In this study, an algorithm is proposed to detect the brain tumor from magnetic resonance image (MRI) data simple. As enhance the image quality for the easiness the tumor treatments and diagnosed for the patients. The proposed algorithm enhances the MR image quality and detects the Brain tumor which helps the Physician to diagnose the tumor easily. As well this algorithm automatically calculates the area of tumor, size and location of the tumor where it is present for diagnostic the Patient.

An I4.0 Review on Lean Green and Six Sigma Based on Energy Parameter

2021 ◽  
Vol 12 (3) ◽  
pp. 30-46
Author(s):  
Neha Verma ◽  
Vinay Sharma
Keyword(s):  
Six Sigma ◽  
Industry 4.0 ◽  
Research Work ◽  
Energy Parameter ◽  
Industrial Wastes ◽  
Environmental Practices ◽  
Lean And Green ◽  
Micro Level ◽  
Manufacturing Techniques

There is a corresponding and complementary relationship among the three manufacturing techniques/processes—lean, green, and six-sigma—in premise of Industry 4.0. The three manufacturing techniques assist the managers for big data analysis of industrial wastes/byproducts and its corresponding influences over industries. The practiced manufacturing techniques are functioning for managing and controlling wastes, operations, and quality of product, respectively. It is perceived that lean especially focus is to recognize the several wastes, produced by miscellaneous organizational practices in premise of Industry 4.0. On the other hand, green assists the managers to map the environmental practices/consequences. The present research focuses attention on ‘greening' through life cycle assessment to fill this gap and to assess the environmental impacts of the generated waste. Nevertheless, lean and green when conjoined become enabling to identify the waste and evaluate environmental impact but both encompass no motive to reduce the enhanced quality of product and reducing micro level wastes. Six-sigma is exhibited as the preeminent methods in order to overcome the determined gaps in present research work.

scholarly journals Mechanical properties of Hybrid steel/PVA fibers reinforced high strength concrete

2018 ◽  
Vol 199 ◽  
pp. 11005 ◽  
Author(s):  
Wasim Abbass ◽  
M. Iqbal Khan
Keyword(s):  
Mechanical Properties ◽  
High Strength Concrete ◽  
Steel Fiber ◽  
Research Work ◽  
High Strength ◽  
Fiber Reinforced Concrete ◽  
Hybrid Fiber ◽  
Strength Concrete ◽  
Flexural Performance ◽  
Micro Level

The high strength concrete exhibits improved compressive strength with drawback of brittle failure due to lack of tensile strength which can be catered by the addition of fibers. The efficient use of fibers with hybridization at macro and micro level can improve mechanical properties of high strength concrete. The effect of hybridization of hooked end steel macro fibers (60 mm) and PVA micro fibers (12 mm) with different dosages was investigated in this research work. The different percentage of steel and PVA were hybridized to find out the best combination of hybridized fibers in high strength concrete. The compressive and flexural properties of high strength concrete along with complete load vs deflection behaviour of hybrid fiber reinforced concrete were investigated. The results revealed that hybridization of macro and micro fibers provided better improvement in flexural performance. It was observed from the results that the hybrid combination of fibers of 1% macro steel fiber and 0.15% micro PVA fibers proved to be the best for enhancement in flexural performance of high strength concrete.

Airborne Video Digital Data for Resource Analysis and Management in the Northeast

1988 ◽  
Vol 5 (2) ◽  
pp. 117-120
Author(s):  
Roger H. Greene
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Aerial Photography ◽  
Value Of Information ◽  
Video Data ◽  
Digital Data ◽  
Forest Types ◽  
Digital Form ◽  
Resource Analysis ◽  
Data Bases

Abstract Airborne video data in digital form provides an inexpensive alternative to aerial photography to provide up-to-date information on the size, kinds, and distribution of forest types. Its capability to be incorporated into a geographic information system can augment the value of information produced during analysis. In Maine, Landmark Applied Technologies has developed and is using a system which includes acquiring the video imagery, extracting scenes in digital form, analyzing these data, and incorporating them into an Intergraph GIS to provide a mechanism for rapid updating of spatial data bases. North. J. Appl. For. 5:117-120, June 1988.

scholarly journals The Construction of the Past: Towards a Theory for Knowing the Past

Information ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 332 ◽  
Author(s):  
Kenneth Thibodeau
Keyword(s):  
Formal Model ◽  
Digital Data ◽  
Digital Information ◽  
Digital Form ◽  
The Past ◽  
The Us ◽  
Us Government ◽  
Class Diagrams ◽  
Further Development ◽  
Past Theory

This paper presents Constructed Past Theory, an epistemological theory about how we come to know things that happened or existed in the past. The theory is expounded both in text and in a formal model comprising UML class diagrams. The ideas presented here have been developed in a half century of experience as a practitioner in the management of information and automated systems in the US government and as a researcher in several collaborations, notably the four international and multidisciplinary InterPARES projects. This work is part of a broader initiative, providing a conceptual framework for reformulating the concepts and theories of archival science in order to enable a new discipline whose assertions are empirically and, wherever possible, quantitatively testable. The new discipline, called archival engineering, is intended to provide an appropriate, coherent foundation for the development of systems and applications for managing, preserving and providing access to digital information, development which is necessitated by the exponential growth and explosive diversification of data recorded in digital form and the use of digital data in an ever increasing variety of domains. Both the text and model are an initial exposition of the theory that both requires and invites further development.

Digital Imaging for Photographic Collections: Foundations for Technical Standard

2000 ◽  
Vol 29 (1) ◽  
Author(s):  
Robin Dale
Keyword(s):  
Image Quality ◽  
Digital Imaging ◽  
Digital Images ◽  
National Endowment ◽  
Technical Standard ◽  
Digital Form ◽  
Project Report

The goal of this project report, sponsored by The National Endowment for the Humanities, Division of Preservation and Access, is “to offer some guidance to libraries, archives, and museums in their efforts to convert photographic collections to digital form.” To date, there are no standards for measuring the quality of digital images created from photographs. Therefore, this report is primarily concerned with developing tools to measure image quality. Other technical and managerial issues related to digital imaging projects in general are also addressed.

Image quality assessment metrics by using directional projection

2008 ◽  
Vol 6 (7) ◽  
pp. 491-494 ◽  
Author(s):  
庞建新 Jianxin Pang ◽  
张荣 Rong Zhang ◽  
张晖 Hui Zhang ◽  
黄轩 Xuan Huang ◽  
刘政凯 Zhengkai Liu
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Assessment Metrics

scholarly journals QUALITY ASSESSMENT OF PANSHARPENED RASAT AND LANDSAT-8 IMAGES USING SYNTHETIC SENTINEL-2 PANCHROMATIC IMAGE

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 231-234
Author(s):  
M. A. Günen
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Spatial Resolution ◽  
Image Quality Assessment ◽  
Reference Image ◽  
Landsat 8 ◽  
Data Generation ◽  
Gis Applications ◽  
Assessment Metrics ◽  
Sentinel 2

Abstract. Technical and physical limitations often do not allow images to be acquired with high spatial and spectral resolution. Pansharpened images obtained by fusing high spatial resolution panchromatic images and multi-spectral images are widely used in GIS applications. In this study, it is aimed to increase the spatial resolution of the RASAT and Landsat-8 multispectral satellite images with synthetic Sentinel-2 panchromatic data. Six different pansharpening methods were used to test the success of the synthetic panchromatic data generation method using dataset with two different land use/land cover properties. Seven full reference image quality assessment metrics and two referenceless image quality assessment metrics were used to perform quantitative comparison.

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