A New Computing Envornment Using Hybrid Cloud

Cloud computing is commonly used for the delivery of software, infrastructure and storage services over the internet. The delivery of services can be done in the private cloud or public cloud. Private cloud resources will be within our data center and it is a secure environment where only specified client can operate. Public cloud resources are provided in a virtualized environment, which provides a pool of shared resources. Hybrid cloud is integration of private, public and in some cases community cloud to perform unique functions within the same organization. Small and medium scale organizations cannot effort to setup IT infrastructure so hybrid cloud is the solution for them. This paper deals with the hybrid cloud computing and architecture of the hybrid cloud computing, advantages, disadvantages and differences of hybrid cloud computing. This paper also tells about the challenges of the hybrid cloud computing

Transplantation of Crossed Fused Renal Ectopia

Crossed fused renal ectopia is a type of congenital fused anomaly of the kidney. This type of kidney, when encountered, can be used as a donor organ to provide useful solution to the critical shortage of available organs for transplantation

Fabric-Integrated, Ionic Liquid-Based Supercapacitor as a Tunable and Flexible Power Source

With the introduction of flexible and wearable electronic technologies such as displays, antenna’s, etc., there has been an increased need for integrable, easily scalable, and safe electric power sources. Advances in flexible lithium-ion batteries have been recently reported, however they may still suffer from potential thermal runaways. In this chapter we review the progress in the topic of wearable energy storage devices. These devices have taken the form of both sheets and fibers entirely made of active material. We also discuss the advantages and drawbacks of each forms. Finally, we present our own work revealing a simplistic way to integrate working carbon electrode materials into suitable textile and to functionalize the obtained flexible structure with ionic liquid thus creating fabric supercapacitors. These devices can then be connected easily in series (9 V) or in parallel (high current), depending on the current or voltage requirements. The area of the electrodes can also be tuned to sustain higher capacitances. We report an energy density of 48 Wh/kg for a functional device at 3 V working window, which reveals no losses in energy density after 10,000 bending cycles

Fiber Supercapacitors Based on Carbon Nanotube-PANI Composites

Flexible and wearable electronic devices are of a high academic and industrial interest. In order to power these devices, there is a need for compatible energy storage units that can exhibit similar mechanical flexibility. Fiber-based devices have thus become increasingly popular since their light-weight, and flexible structure can be easily integrated into textiles. Supercapacitors have garnered a lot of attention due to their excellent cycling durability, fast charge times and superior power density. The primary challenge, however, with electric double layer capacitors (EDLCs), which are part of the supercapacitor family, is that their energy densities are significantly lower compared to those of batteries. Pseudocapacitors, on the other hand, can be designed and created with large energy densities and other outstanding properties typical for supercapacitors. This chapter discusses the fabrication and testing of supercapacitors based on carbon nanotube-polyaniline (PANI) composite fibers. These flexible and light-weight devices are assembled using different electrolytes for comparison. The created in this work PANI-CNT composite devices attain an energy density of 6.16 Wh/kg at a power density of 630 W/kg and retained a capacitance of 88% over 1000 charge-discharge cycles

Lqaid: Localized Quality Aware Image Denoising Using Deep Convolutional Neural Networks

In this paper we propose the Localized Quality Aware Image Denoising (LQAID) technique for image denoising using deep convolutional neural networks (CNNs). LQAID relies on local quality estimates over global cues like noise standard deviation since the perceptual quality of a noisy image is typically spatially varying. Specifically, we use localized quality maps generated using DistNet, a spatial quality map estimation method. These quality maps are used to augment the noisy image and guide the denoising process. The augmented noisy image is denoised using a deep fully convolutional network (FCN) trained using mean square error (MSE) as the loss function. The proposed approach shows state-of-the-art performance both qualitatively and quantitatively on two vision datasets: TID 2008 and BSD500. We also show that the proposed approach possesses excellent generalization ability. Lastly, the proposed approach is completely blind since it neither requires information about the strength of the additive noise nor does it try to explicitly estimate it. © 2020 IEEE

Feasibility study of jet propulsion for remote operated underwater vehicles

This thesis is a feasibility study of jet propulsion for remote operated vehicles (ROV’s). The concept of using a tilting type nozzle for improved maneuverability is discussed. Though the propulsion efficiency of jets is less compared to that of the propeller for the velocity ranges usually encountered in ROV movements, the implementation of jet propulsion is considered in view of the advantages in improving maneuvering qualities. Also, the simplicity of the system and les complexity in pressure compensation adds to its advantages. This study concentrates on the selection of an optimum nozzle configuration for ROV’s. -- An experimental set-up was designed and fabricated for this investigation. Ten different plexi-glass conical nozzles were used for five different circular disk shaped drag plates, simulating the drag of the ROV motion under water. Energy losses were determined both experimentally and theoretically. Wall effects encountered in the experimental tank were compensated by towing the model in an open water wave tank for the same range of speeds. It was found that the propulsion efficiency is maximum for one particular nozzle over a wide range of flow rates encountered in the experiments. Finally, a feasible design of a jet propelled ROV with tilting type nozzles is presented. This design could be fabricated and tested for commercial production

Generating Image Distortion Maps Using Convolutional Autoencoders with Application to No Reference Image Quality Assessment

We present two contributions in this work: (i) a reference-free image distortion map generating algorithm for spatially localizing distortions in a natural scene, and (ii) no reference image quality assessment (NRIQA) algorithms derived from the generated distortion map. We use a convolutional autoencoder (CAE) for distortion map generation. We rely on distortion maps generated by the SSIM image quality assessment (IQA) algorithm as the ``ground truth" for training the CAE. We train the CAE on a synthetically generated dataset composed of pristine images and their distorted versions. Specifically, the dataset was created by applying standard distortions such as JPEG compression, JP2K compression, Additive White Gaussian Noise (AWGN) and blur to the pristine images. SSIM maps are then generated on a per distorted image basis for each of the distorted images in the dataset and are in turn used for training the CAE. We first qualitatively demonstrate the robustness of the proposed distortion map generation algorithm over several images with both traditional and authentic distortions. We also demonstrate the distortion map's effectiveness quantitatively on both standard distortions and authentic distortions by deriving three different NRIQA algorithms. We show that these NRIQA algorithms deliver competitive performance over traditional databases like LIVE Phase II, CSIQ, TID 2013, LIVE MD and MDID 2013, and databases with authentic distortions like LIVE Wild and KonIQ-10K. In summary, the proposed method generates high quality distortion map that are used to design robust NRIQA algorithms. Further, the CAE based distortion maps generation method can easily be modified to work with other ground truth distortion maps

Enteric fever complicated by hemophagocytic lymphohistiocytosis: an unusual case report

We report the case of a 15-year-old girl with enteric fever, a common infectious disease in developing countries, who presented with multiple unusual complications including pancreatitis, myocarditis and thrombocytopenia in the first week and who developed secondary hemophagocytic lymphohistiocytosis, a clinical masquerade, secondary to Salmonella typhi infection. The patient recovered completely with appropriate antibiotics, intravenous steroids and supportive treatment, with complete resolution of the symptoms