A Comprehensive Analysis of Image Forensics Techniques: Challenges and future Direction

2019 ◽  
Vol 13 ◽  
Author(s):  
Mohd Dilshad Ansari ◽  
Ekbal Rashid ◽  
S Siva Skandha ◽  
Suneet Kumar Gupta
Keyword(s):  
Image Forensics ◽  
Digital Era ◽  
Current State ◽  
Benchmark Datasets ◽  
Passive Authentication ◽  
Prime Objective ◽  
Future Direction ◽  
Source Of Information ◽  
Research Domain ◽  
Open Issues

Background: image forensics deal with the problem of authentication of pictures or their origins. There are two types of forensics techniques namely active and passive. Passive forgery is also known as blind forensics technique. In passive forgery, copy-move (cloning) image forensics is most common forgery technique. In this approach, an object or region of a picture is copied and positioned somewhere else in the same image. Active method used watermarking to solve picture genuineness problem. It has limitations like human involvement or particularly equipped cameras. To overwhelm these limitations, numerous passive authentication approaches have been developed. Moreover, both approaches do not require any prior information about the picture. Objective: The prime objective of this survey is to provide an inclusive summary as well as recent advancement, challenges and future direction in image forensics. In Today’s digital era the digital pictures and videos are having great impact on our life as well as society, as they became the important source of information. Though earlier it was very difficult to doctor the picture, nowadays digital pictures can be doctored easily with the help of editing tools and internet. These practices make pictures as well as videos genuineness deceptive. Conclusion: This paper presents the current state-of- the-art of passive (cloning) image forensics techniques, challenges and future direction of this research domain. Further, the major open issues in developing a robust cloning image forensics detector with their performance are discussed. Lastly, the available benchmark datasets are also discussed

scholarly journals Random Fourier Features via Fast Surrogate Leverage Weighted Sampling

2020 ◽  
Vol 34 (04) ◽  
pp. 4844-4851
Author(s):  
Fanghui Liu ◽  
Xiaolin Huang ◽  
Yudong Chen ◽  
Jie Yang ◽  
Johan Suykens
Keyword(s):  
State Of The Art ◽  
Sampling Strategy ◽  
Prediction Performance ◽  
Current State ◽  
Kernel Approximation ◽  
Sampling Process ◽  
New Strategy ◽  
The Matrix ◽  
Benchmark Datasets ◽  
Random Fourier Features

In this paper, we propose a fast surrogate leverage weighted sampling strategy to generate refined random Fourier features for kernel approximation. Compared to the current state-of-the-art method that uses the leverage weighted scheme (Li et al. 2019), our new strategy is simpler and more effective. It uses kernel alignment to guide the sampling process and it can avoid the matrix inversion operator when we compute the leverage function. Given n observations and s random features, our strategy can reduce the time complexity for sampling from O(ns2+s3) to O(ns2), while achieving comparable (or even slightly better) prediction performance when applied to kernel ridge regression (KRR). In addition, we provide theoretical guarantees on the generalization performance of our approach, and in particular characterize the number of random features required to achieve statistical guarantees in KRR. Experiments on several benchmark datasets demonstrate that our algorithm achieves comparable prediction performance and takes less time cost when compared to (Li et al. 2019).

Unleashing the Convergence of Cloud Computing With Internet of Things

2021 ◽  
pp. 1-22
Author(s):  
Nalina Suresh ◽  
Valerianus Hashiyana ◽  
Martin Mabeifam Ujakpa ◽  
Anton Limbo ◽  
Gloria E. Iyawa ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Vital Role ◽  
The Internet ◽  
Research Topics ◽  
Computer Research ◽  
Future Direction ◽  
The Internet Of Things ◽  
Open Issues

The term “cloud of things” is currently in the forefront of computer research topics due to its vital role towards the internet of things. To integrate cloud computing and internet of things into a single technology or worldview, this chapter discussed the evolution of internet of things and cloud computing and reviewed literature on cloud computing and internet of things and their possible integration. The chapter also discussed the importance of cloud internet of things, its architecture, and operation; the need to integrate internet of things and cloud computing; and challenges of cloud internet of things. The chapter then used the identified open issues and future direction to propose a generic cloud internet of things architecture and pilot simulated the results to verify the possibility and effectiveness of cloud computing and internet of things (CIoTs) integration. The researchers believe that the chapter will provide a better insight for anyone who wishes to carry out research in the field of cloud internet of things.

Literature Synthesis on Evaluative Measures in Healthcare Simulation

2012 ◽  
Vol 4 (3) ◽  
pp. 38-48
Author(s):  
Timothy W. Meyers
Keyword(s):  
Qualitative And Quantitative ◽  
Quantitative Studies ◽  
Current State ◽  
Learning Domains ◽  
Healthcare Simulation ◽  
Literature Synthesis ◽  
Good Grasp ◽  
History Of ◽  
Future Direction ◽  
Meta Analyses

Whereas most educators have a good grasp on the history of simulation in healthcare, the current state and types of modalities related to simulation in healthcare education, and the future direction of healthcare simulation, many educators do not have an in-depth understanding of the metrics available to assess the use of simulation. The purpose of this literature synthesis is to build a repository of the metrics being used to evaluate nursing and healthcare provider simulation. Additionally, the level of fidelity and desired learning domains that the matrices purport to evaluate is examined. A secondary purpose of the literature synthesis is to determine if a suitable metric is available that can be used universally to evaluate nursing and healthcare related simulations. Finally, conceptual frameworks suitable for serving as the bases of instrument development related to nursing and health care simulation are explored. Primary studies, meta-analyses, and systematic reviews that discussed or evaluated metrics used to measure outcomes of simulation were analyzed. Recent articles, published within the last five years, which discussed the evaluation of nursing and or healthcare simulation, were eligible for inclusion. Additionally, descriptive, inferential, qualitative, and quantitative studies were eligible for inclusion.

Predictive Models in Urology

2013 ◽  
Vol 80 (1) ◽  
pp. 42-45 ◽  
Author(s):  
Andrea Cestari
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Predictive Modeling ◽  
Predictive Models ◽  
Machine Intelligence ◽  
Health Records ◽  
Knowledge Based ◽  
Current State ◽  
Computer Based ◽  
Future Direction

Predictive modeling is emerging as an important knowledge-based technology in healthcare. The interest in the use of predictive modeling reflects advances on different fronts such as the availability of health information from increasingly complex databases and electronic health records, a better understanding of causal or statistical predictors of health, disease processes and multifactorial models of ill-health and developments in nonlinear computer models using artificial intelligence or neural networks. These new computer-based forms of modeling are increasingly able to establish technical credibility in clinical contexts. The current state of knowledge is still quite young in understanding the likely future direction of how this so-called ‘machine intelligence’ will evolve and therefore how current relatively sophisticated predictive models will evolve in response to improvements in technology, which is advancing along a wide front. Predictive models in urology are gaining progressive popularity not only for academic and scientific purposes but also into the clinical practice with the introduction of several nomograms dealing with the main fields of onco-urology.

scholarly journals Standardisation of legal documentation in Islamic home financing in Malaysia

2019 ◽  
Vol 10 (3) ◽  
pp. 448-465 ◽  
Author(s):  
Syarah Syahira Mohd Yusoff ◽  
Umar A. Oseni
Keyword(s):  
Financial Services ◽  
Legal Positivism ◽  
Content Type ◽  
Positive Law ◽  
Current State ◽  
Complete Set ◽  
Exhaustive Study ◽  
Conventional Banks ◽  
Standard Documentation ◽  
Source Of Information

Purpose This paper aims to provide an analytical literature survey of selective studies on legal documentation in Islamic home financing with particular reference to Malaysia. Design/methodology/approach This study adopts the legal positivist methodology, with particular reference to inclusive legal positivism which takes into consideration the possibility of moral values challenging positive law. Within the context of this study, though positive law provides for rules that govern contractual matters in Islamic home financing, standardisation is a functionality of maslahah (or public interest) which transcends the mandatory provisions of positive law but helps to protect the interest of all stakeholders. This is analysed through a systematic literature review which aims to provide practical insights into industry practices relating to Islamic home financing in Malaysia. Findings This paper provides information on the standard documentation used by conventional banks and existing practices of diverse models of legal documentation in the home financing sector within the Islamic financial services industry in Malaysia. It also recognises the need for standard documentation that is not only Sharīʿah-compliant but also consumer-friendly, as the terms of any standard financing agreement ought to ensure consumer protection. There is also the need for a Shari’ah-compliant Sales and Purchase Agreement, as it forms part of the complete set of legal documentation for Islamic home financing. Research limitations/implications It is not an exhaustive study, as it did not consider practices in other jurisdictions offering Islamic financial services and products but only focusses on Malaysia. Though one may not generalise the findings of this study, Malaysia remains a leading model and a global hub for Islamic financial services and products. Practical implications A very useful source of information on the current state of legal documentation in Islamic home financing in Malaysia and the prevailing practices in the industry, which may serve as a guide for policymakers such as the Association of Islamic Banks in Malaysia (AIBIM) to embark on a full scale project of standardisation of all the legal documentation used in Islamic home financing. Originality/value This study fulfils an identified need of standardisation of legal documentation used in Islamic home financing in Malaysia and offers practical help to policymakers and future researchers starting out on systemic reforms.

scholarly journals A Guideline for Effectively Synthesizing and Characterizing Magnetic Nanoparticles for Advancing Nanobiotechnology: A Review

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2554 ◽  
Author(s):  
Mohammad Reza Zamani Kouhpanji ◽  
Bethanie J. H. Stadler
Keyword(s):  
Magnetic Nanoparticles ◽  
Biomedical Applications ◽  
State Of The Art ◽  
Future Directions ◽  
Current State ◽  
Pros And Cons ◽  
Synthesis Routes ◽  
Size And Morphology ◽  
Excellent Source ◽  
Source Of Information

The remarkable multimodal functionalities of magnetic nanoparticles, conferred by their size and morphology, are very important in resolving challenges slowing the progression of nanobiotechnology. The rapid and revolutionary expansion of magnetic nanoparticles in nanobiotechnology, especially in nanomedicine and therapeutics, demands an overview of the current state of the art for synthesizing and characterizing magnetic nanoparticles. In this review, we explain the synthesis routes for tailoring the size, morphology, composition, and magnetic properties of the magnetic nanoparticles. The pros and cons of the most popularly used characterization techniques for determining the aforementioned parameters, with particular focus on nanomedicine and biosensing applications, are discussed. Moreover, we provide numerous biomedical applications and highlight their challenges and requirements that must be met using the magnetic nanoparticles to achieve the most effective outcomes. Finally, we conclude this review by providing an insight towards resolving the persisting challenges and the future directions. This review should be an excellent source of information for beginners in this field who are looking for a groundbreaking start but they have been overwhelmed by the volume of literature.

Transplantation and Surgery: A Discussion on the Current and Future Direction of Renal Transplantation

2018 ◽  
Vol 8 (1) ◽  
pp. 9-13
Author(s):  
Nikhile Mookerji ◽  
Gurpreet Malhi
Keyword(s):  
Minimally Invasive Surgery ◽  
Renal Transplantation ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
Associate Professor ◽  
University Of British Columbia ◽  
Current State ◽  
Mcgill University ◽  
Future Direction ◽  
The University

Dr. Jeff  Warren, MD, FRCPC, is an associate professor at the University of Ottawa within the Department of Surgery, Division of Urology. He has been a staff Urologist since 2009 and obtained his fellowship in multi-organ transplants, including kidneys and pancreases, from the University of Western Ontario. He received his MD from the University of Ottawa in 2002 and also completed his residency at the University of Ottawa in 2007. He is currently the head of surgical foundations for all surgical residency programs at the University of Ottawa. His clinical interests are in kidney transplantation surgery, minimally invasive surgery, and medical education. Dr. Tom Skinner, MD, FRCPC, is a transplant fellow at the University of Ottawa within the Department of Surgery, Division of Urology. He received his MD from Dalhousie University in 2012 and completed his Urology residency at Queen’s University in 2017. He has a BSc. from the University of British Columbia and a MSc. from McGill University. His clinical interests are in minimally invasive surgery, renal transplantation, surgical education, and healthcare economics. During this interview, Dr. Skinner and Dr. Warren discuss the current state of transplant surgery, the biggest challenges to transplanting patients, and the future of the specialty. They also discuss robotic surgery and the Spanish model for organ donation.

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