Image forgery detection techniques refer to the process of detecting manipulated or altered images, which can be used for various purposes, including malicious intent or misinformation. Image forgery detection is a crucial task in digital image forensics, where researchers have developed various techniques to detect image forgery. These techniques can be broadly categorised into active, passive, machine learning-based and hybrid. Active approaches involve embedding digital watermarks or signatures into the image during the creation process, which can later be used to detect any tampering. On the other hand, passive approaches rely on analysing the statistical properties of the image to detect any inconsistencies or irregularities that may indicate forgery. In this paper for the detection of scaling and cropping attack a deep learning method has been proposed using ResNet. The proposed method (Res-Net-Adam-Adam) is able to achieve highest amount of accuracy of 99.14% (0.9914) while detecting fake and real images.

Aim/Purpose: The clustering techniques are normally considered to determine the significant and meaningful subclasses purposed in datasets. It is an unsupervised type of Machine Learning (ML) where the objective is to form groups from objects based on their similarity and used to determine the implicit relationships between the different features of the data. Cluster Analysis is considered a significant problem area in data exploration when dealing with arbitrary shape problems in different datasets. Clustering on large data sets has the following challenges: (1) clusters with arbitrary shapes; (2) less knowledge discovery process to decide the possible input features; (3) scalability for large data sizes. Density-based clustering has been known as a dominant method for determining the arbitrary-shape clusters. Background: Existing density-based clustering methods commonly cited in the literature have been examined in terms of their behavior with data sets that contain nested clusters of varying density. The existing methods are not enough or ideal for such data sets, because they typically partition the data into clusters that cannot be nested. Methodology: A density-based approach on traditional center-based clustering is introduced that assigns a weight to each cluster. The weights are then utilized in calculating the distances from data vectors to centroids by multiplying the distance by the centroid weight. Contribution: In this paper, we have examined different density-based clustering methods for data sets with nested clusters of varying density. Two such data sets were used to evaluate some of the commonly cited algorithms found in the literature. Nested clusters were found to be challenging for the existing algorithms. In utmost cases, the targeted algorithms either did not detect the largest clusters or simply divided large clusters into non-overlapping regions. But, it may be possible to detect all clusters by doing multiple runs of the algorithm with different inputs and then combining the results. This work considered three challenges of clustering methods. Findings: As a result, a center with a low weight will attract objects from further away than a centroid with higher weight. This allows dense clusters inside larger clusters to be recognized. The methods are tested experimentally using the K-means, DBSCAN, TURN*, and IDCUP algorithms. The experimental results with different data sets showed that IDCUP is more robust and produces better clusters than DBSCAN, TURN*, and K-means. Finally, we compare K-means, DBSCAN, TURN*, and to deal with arbitrary shapes problems at different datasets. IDCUP shows better scalability compared to TURN*. Future Research: As future recommendations of this research, we are concerned with the exploration of further available challenges of the knowledge discovery process in clustering along with complex data sets with more time. A hybrid approach based on density-based and model-based clustering algorithms needs to compare to achieve maximum performance accuracy and avoid the arbitrary shapes related problems including optimization. It is anticipated that the comparable kind of the future suggested process will attain improved performance with analogous precision in identification of clustering shapes.

Separately, Indian FM said India's economic relationship with China has been very "unfair" and "imbalanced"

Can you explain the new ANSI/ISEA 201-2012 voluntary standard about classifying insulation apparel for cold-weather environments?

Washington — The Environmental Protection Agency will designate as hazardous two cancer-causing per- and polyfluoroalkyl substances, or PFAS, with wide industrial and consumer use, under a new final rule.

Washington — Federal action aimed at easing restrictions on marijuana under the Controlled Substances Act “may have considerable negative consequences for highway safety and safety-sensitive industries,” the American Trucking Associations claims.

Washington — Federal action aimed at easing restrictions on marijuana under the Controlled Substances Act could jeopardize federally required drug testing for workers in safety-sensitive jobs, the National Transportation Safety Board warns.

According to a 2014 study by the Harvard University Joint Center for Housing, the home improvement industry is expected to see double-digit growth through the end of the year.

[Politics] :
John Bolton, former national security advisor under the first Donald Trump administration, warned that U.S. isolationism is expected to further intensify as Trump returns to office for a second term. In an interview with Japanese daily Yomiuri Shimbun a day before the election on Monday and published on ...

[more...]

[Economy] :
Sino-U.S. decoupling is forecast to intensify and preference for U.S. interests to expand under the incoming Donald Trump administration. This outlook was put forth Wednesday at a seminar hosted by the Korea International Trade Association(KITA). Kyung Hee University Professor Seo Jung-kun pointed to a ...

[more...]

Data collection at X-ray free electron lasers has particular experimental challenges, such as continuous sample delivery or the use of novel ultrafast high-dynamic-range gain-switching X-ray detectors. This can result in a multitude of data artefacts, which can be detrimental to accurately determining structure-factor amplitudes for serial crystallography or single-particle imaging experiments. Here, a new data-classification tool is reported that offers a variety of machine-learning algorithms to sort data trained either on manual data sorting by the user or by profile fitting the intensity distribution on the detector based on the experiment. This is integrated into an easy-to-use graphical user interface, specifically designed to support the detectors, file formats and software available at most X-ray free electron laser facilities. The highly modular design makes the tool easily expandable to comply with other X-ray sources and detectors, and the supervised learning approach enables even the novice user to sort data containing unwanted artefacts or perform routine data-analysis tasks such as hit finding during an experiment, without needing to write code.

Since 1930, the FBI has served as central coordinator of data on known criminal offenses, combining reports from approximately 18,000 local law enforcement agencies under the Uniform Crime Reporting (UCR) Program.

Sify is one among the leading data center operators with existing installed capacity of 190 MW in 12 centers across 6 cities Mumbai, Noida, Chennai, Bangalore, Hyderabad, Kolkata, Bangalore and two upcoming facilities in Noida and Chennai.

Ingredient manufacturers offer a diversity of whole grains to build nutritional appeal in today’s snack foods and baked goods.

Two senators in Connecticut announced plans to introduce legislation that would treat substance abuse as an occupational hazard. “If a worker is injured on the job, they receive treatment, but if…

Resolution 85 - (Hammamet, 2016) - Strengthening and diversifying the resources of the ITU Telecommunication Standardization Sector

The Phillies have been the favorites in the Bryce Harper sweepstakes for months, and that speculation heated up over the weekend.

Controversy over a proposal to admit students by lottery to a highly selective school in Virginia echoes a nationwide debate over how to include more Blacks, Latinos, and low-income students in advanced academic programs.

An Israeli airstrike killed seven people late Monday at a café near the southern Gaza city of Khan Younis, Palestinian medics said, bringing the death toll from Israeli strikes since Sunday night to at least 37.

Controversy over a proposal to admit students by lottery to a highly selective school in Virginia echoes a nationwide debate over how to include more Blacks, Latinos, and low-income students in advanced academic programs.

Examining California school boards, a researcher found that electing just one Hispanic member impacts school spending and teacher churn.

The former Chief of the Fenwick Island Police Department has pleaded guilty to Official Misconduct and Falsifying Business Records. Boyden was indicted in August after knowingly submitting, between February of 2014 and March of 2020, false reports to the Delaware Council on Police Training indicating that he had been certified in firearms.  Boyden was charged with, and pleaded guilty to, one count of […]

Kazakhstan’s sovereign wealth fund, Samruk-Kazyna, will invest domestically and internationally to diversify its portfolio and increase its value, claims Lyazzat Borankulova, the fund’s managing director for strategic development. 

How will all of these BNPL-focused providers fare with Apple pounding its way into their market?

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MRA Marg police make two more arrests in connection with the assault on photojournalists

The transition to renewable energy requires a new impetus that will catalyse the change

Protest gatherings were held in over 1,500 parishes of the Syro-Malabar Church across the State

Investment made by foreign portfolio investor along with its investor group (hereinafter referred to as ‘FPI’) shall be less than 10% of the total paid-up equity capital on a fully diluted basis

Participants said Andhra Pradesh Government has the responsibility to take up the issue with AEMS management and settle the issue

World Meteorological Organization says big gaps exist and investments lag far behind

Move aimed at enhancing the ease of doing business, streamlining compliance and attracting foreign investments

WBC heavyweight champion Tyson Fury has teased on social media that some "massive" news is soon to be released by his management company, sparking rumors that a title unification bout with Anthony Joshua is just around the corner.
Read Full Article at RT.com

Small and medium-sized enterprises (SMEs) are fundamental for inclusive growth and jobs, but they need to broaden their sources of finance in order to reduce their vulnerability to volatile credit market developments, according to two new OECD reports.

Luxembourg weathered the global economic crisis well, but must take additional steps to foster the diversification of the economy while ensuring the continuing health of its financial sector, according to the latest OECD Economic Survey of Luxembourg.

Australia has made some progress replacing coal with natural gas and renewables in electricity generation yet remains one of the most carbon-intensive OECD countries and one of the few where greenhouse gas emissions (excluding land use and forestry) have risen in the past decade. The country will fall short of its 2030 emissions target without a major effort to move to a low-carbon model, according to a new OECD report.

The end of the mining boom has highlighted the urgent need for Chile to diversify its economy away from commodity-intensive sectors, according to a new OECD report presented by Secretary-General Angel Gurría today.

A three-dimensional hydrogen-bonded network based on a rare mok topology has been constructed using an organic molecule synthesized in the solid state. The molecule is obtained using a supramolecular protecting-group strategy that is applied to a solid-state [2+2] photodimerization. The photodimerization affords a novel head-to-head cyclo­butane product. The cyclo­butane possesses tetrahedrally disposed cis-hydrogen-bond donor (phenolic) and cis-hydrogen-bond acceptor (pyridyl) groups. The product self-assembles in the solid state to form a mok network that exhibits twofold interpenetration. The cyclo­butane adopts different conformations to provide combinations of hydrogen-bond donor and acceptor sites to conform to the structural requirements of the mok net.

Since 1930, the FBI has served as central coordinator of data on known criminal offenses, combining reports from approximately 18,000 local law enforcement agencies under the Uniform Crime Reporting (UCR) Program.

Climate change is expected to increase the intensity and occurrence of regional floods in Europe. A recent study has examined existing natural and constructed retention (or holding) basins that can be adapted to provide flood defences. As part of the study, a classification system for flood defence structures was developed to help Member States design sustainable flood risk management plans.