An Improved VGG16 and CNN-LSTM Deep Learning Model for Image Forgery Detection

As the field of image processing and computer vision continues to develop, we are able to create edited images that seem more natural than ever before. Identifying real photos from fakes has become a formidable obstacle. Image forgery has become more common as the multimedia capabilities of personal computers have developed over the previous several years. This is due to the fact that it is simpler to produce fake images. Since image object fabrication might obscure critical evidence, techniques for detecting it have been intensively investigated for quite some time. The publicly available datasets are insufficient to deal with these problems adequately. Our work recommends using a deep learning based image inpainting technique to create a model to detect fabricated images. To further detect copy-move forgeries in images, we use an CNN-LSTM and Improved VGG adaptation network. Our approach could be useful in cases when classifying the data is impossible. In contrast, researchers seldom use deep learning theory, preferring instead to depend on tried-and-true techniques like image processing and classifiers. In this article, we recommend the CNN-LSTM and improved VGG-16 convolutional neural network for intra-frame forensic analysis of altered images

Short beam strength and flexural behavior of GFRP laminates embedded with short carbon fibers having notch

This paper examines the mechanical performance of eight-layered GFRP laminate embedded with short carbon fibers (SCF). Eight layered GFRP samples are prepared using press molding machine at 40 KN pressure. Notched samples (1 mm deep) at specific position from the center are tested, the doping of SCF is done to evaluate the improvement in mechanical properties using reinforcement at three different proportions 0, 1, 2 and 5 wt.%. The GFRP samples are prepared as per ASTM D2344 and ASTM D7264 for short beam strength (SBS) and flexural and respectively. Samples are tested using Hounsfield HK-50 universal testing machine (UTM) with 50KN capacity at room atmospheric conditions. Results of the experimental analysis justified that the improvement in mechanical properties with increase in doping percentage of SCF while at highest doping value i.e. 5 wt.% mechanical properties reduced

Associative Instruction Reordering to Alleviate Register Pressure

International audienceRegister allocation is generally considered a practically solved problem. For most applications, the register allocation strategies in production compilers are very effective in controlling the number of loads/stores and register spills. However, existing register allocation strategies are not effective and result in excessive register spilling for computation patterns with a high degree of many-to-many data reuse, e.g., high-order stencils and tensor contractions. We develop a source-to-source instruction reordering strategy that exploits the flexibility of reordering associative operations to alleviate register pressure. The developed transformation module implements an adaptable strategy that can appropriately control the degree of instruction-level parallelism, while relieving register pressure. The effectiveness of the approach is demonstrated through experimental results using multiple production compilers (GCC, Clang/LLVM) and target platforms (Intel Xeon Phi, and Intel x86 multi-core)

Formulation and optimization of Retapamulin loaded PLGA nanoparticles for burn wounds

In the present study, PLGA nanoparticles (PLGA-NP) of retapamulin (RP) were prepared and optimized by studying the effect of various formulation and process variables for effective delivery at burn wound site. Drug loaded PLGA-NP were successfully prepared and characterized by TEM, XRD and DSC study. Formulation and process variables like surfactant concentration, drug concentration, polymer concentration etc. showed significant effect on the particle size, entrapment efficiency and drug loading. PLGA-NP exhibited prolonged drug release following Higuchi release kinetics (R2= 0.9907). In vitro study demonstrated systemic escape of drug from PLGA-NP which might eliminate side effects associated with topical exposure through conventional treatment. Further retention of activity of entrapped drug was confirmed by in vitro antimicrobial assay. Optimized PLGA nanoparticle of Retapamulin was incorporated into PVA-Chitosan hydrogel slurry and casted into film to prepare multiphase hydrogel.Thus, present optimized system can be effectively used for delivery of drug at burn wound site in especially compromised wounds.&nbsp

AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs

Stencil computation is one of the most widely-used compute patterns in high performance computing applications. Spatial and temporal blocking have been proposed to overcome the memory-bound nature of this type of computation by moving memory pressure from external memory to on-chip memory on GPUs. However, correctly implementing those optimizations while considering the complexity of the architecture and memory hierarchy of GPUs to achieve high performance is difficult. We propose AN5D, an automated stencil framework which is capable of automatically transforming and optimizing stencil patterns in a given C source code, and generating corresponding CUDA code. Parameter tuning in our framework is guided by our performance model. Our novel optimization strategy reduces shared memory and register pressure in comparison to existing implementations, allowing performance scaling up to a temporal blocking degree of 10. We achieve the highest performance reported so far for all evaluated stencil benchmarks on the state-of-the-art Tesla V100 GPU

Jurisprudence on protection of wild animals in India

Two emerging topics Animal protection and Jurisprudence over them in India have recently proposed, animal’s life have always been subjected to being as the part of fun, as of killing, hunting and kept for personal benefits. Animal protection basically refers to the prevention, reduction, fear of harm or elimination of harm done by human to animals. And jurisprudence which means the ‘Theory or philosophy of law’. In modern law, animals are not considered as a legal person, they are always treated as an object. The objects cannot exercise their rights like right to life. Human has developed the ideal philosophy for the betterment of the animals but still they are not capable for the proper and total implementation for that philosophy. The animals were treated as associate of God or part of nature but also treated as property or things. The things are the same as wild animals has been always treated as danger, but the real danger is human to this planet, who forgot the humanity