LQMPCS: Design of a Low-Complexity Q-Learning Model based on Proof-of-Context Consensus for Scalable Side Chains

Single-chained blockchains are being rapidly replaced by sidechains (or sharded chains), due to their high QoS (Quality of Service), and low complexity characteristics. Existing sidechaining models use context-specific machine-learning optimization techniques, which limits their scalability when applied to real-time use cases. Moreover, these models are also highly complex and require constant reconfigurations when applied to dynamic deployment scenarios. To overcome these issues, this text proposes design of a novel low-complexity Q-Learning Model based on Proof-of-Context (PoC) consensus for scalable sidechains. The proposed model initially describes a Q-Learning method for sidechain formation, which assists in maintaining high scalability even under large-scale traffic scenarios. This model is cascaded with a novel Proof-of-Context based consensus that is capable of representing input data into context-independent formats. These formats assist in providing high-speed consensus, which is uses intent of data, instead of the data samples. To estimate this intent, a set of context-based classification models are used, which assist in representing input data samples into distinctive categories. These models include feature representation via Long-Short-Term-Memory (LSTM), and classification via 1D Convolutional Neural Networks (CNNs), that can be used for heterogeneous application scenarios. Due to representation of input data samples into context-based categories, the proposed model is able to reduce mining delay by 8.3%, reduce energy needed for mining by 2.9%, while maintaining higher throughput, and lower mining jitters when compared with standard sidechaining techniques under similar use cases

Tunnelling Characteristics of Stone-Wales Defects in Monolayers of Sn and Group-V Elements

Topological defects in ultrathin layers are often formed during synthesis and processing, thereby, strongly influencing their electronic properties . In this paper, we investigate the role of Stone-Wales (SW) defects in modifying the electronic properties of the monolayers of Sn and group-V elements. The calculated results find the electronic properties of stanene (monolayer of Sn atoms) to be strongly dependent on the concentration of SW-defects e.g., defective stanene has nearly zero band gap (~ 0.03 eV) for the defect concentration of 2.2 x 10^13 cm^-2 which opens up to 0.2 eV for the defect concentration of 3.7 x 10^13 cm^-2. In contrast, SW-defects appear to induce conduction states in the semiconducting monolayers of group-V elements. These conduction states act as channels for electron tunnelling, and the calculated tunnelling characteristics show the highest differential conductance for the negative bias with the asymmetric current-voltage characteristics. On the other hand, the highest differential conductance was found for the positive bias in stanene. Simulated STM topographical images of stanene and group-V monolayers show distinctly different features in terms of their cross-sectional views and distance-height profiles which can serve as fingerprints to identify the topological defects in the monolayers of group-IV and group-V elements in experiments.Comment: 18 pages, 5 figures, 1 tabl

Power productivity enhancement using performance analysis of biomass gasifier at energy park, RGTU Bhopal (MP, India)

 Abstract: The concept paper represents possible opportunities for strategic investment in remote area development and further due attention is paid to determine its feasibility.  We examined the status and performance of biomass gasification unit for electricity generation fuelled by woody biomass installed at Energy Centre, Rajiv Gandhi Technological University Bhopal, (India).  The main objective of the research project is to utilize the resources of existing biomass feedstock and make performance analysis under purpose of fulfilling the electrical demand of Energy Centre Rajiv Gandhi Technological University Bhopal (India) and rural users in powering of their home lighting, by means of renewable energy.  The results of the work will be useful for the future engineering development of biomass gasification unit power generation technologies.Keywords: biomass, gasification, co-generation, pyrolysis, combustion, India

Molecular docking studies on binding specificity of 3,6- and 2,7-carbazoles with DNA duplexes

Molecular docking is a widely used computational technique used to find the probabilistic binding sites of drugs in the vicinity of macromolecules. The drugs produce their working effect only when they bind and interact with the target macromolecule. The potential drugs can only be identified by their relative binding affinities and corresponding binding modes. Availability of huge numbers of such drugs has made the estimation of their relative potency, a difficult task. In the present work, carbazoles (3,6 and 2,7) and their analogs were studied for their DNA binding abilities using molecular docking calculations. Since the docked ligands had planar structures, it allowed them to adopt crescent shape and thus minor groove binding with DNA was preferred by all. However, it was found that a single molecule (Mol-6) (2,7-carbazole) showed promising results with all the selected DNA sequences also its results were exactly verified with those in the reported literature and therefore it can be said that its in-vivo studies could possibly produce some exciting results. This study also revealed that DNA binding energies of 3,6- and 2,7-carbazoles followed the same trend as their thermal melting values. DOI: http://dx.doi.org/10.5281/zenodo.415370

CDBMGCIG: Design of a Cross-Domain Bioinspired Model for identification of Gait Components via Iterated GANs

This Gait identification assists in recognition of human body components from temporal image sequences. Such components consist of connected-body entities including head, upper body, lower body regions. Existing Gait recognition models use deep learning methods including variants of Convolutional Neural Networks (CNNs), Q-Learning, etc. But these methods are either highly complex, or do not perform well under complex background conditions. Moreover, most of these models are validated on a specific environmental condition, and cannot be scaled for general-purpose deployments. To overcome these issues, this text proposes design of a novel cross-domain bioinspired model for identification of gait components via Iterated Generative Adversarial Networks (IGANs). The proposed model initially extracts multidomain pixel-level feature sets from different images. These include frequency components via Fourier analysis, entropy components via Cosine analysis, spatial components via Gabor analysis, and window-based components via Wavelet &Convolutional analysis. These feature sets are processed via a Grey Wolf Optimization (GWO) Model, which assists in identification of high-density & highly variant features for different gait components. These features are classified via an iterated GAN, which comprises of Generator & Discriminator ssModels that assist in evaluating connected body components. These operations generate component-level scores that assist in identification of gait from complex background images. Due to which, the proposed model was observed to achieve 9.5% higher accuracy, 3.4% higher precision, and 2.9% higher recall than existing gait identification methods. The model also uses iterative learning, due to which its accuracy is incrementally improved w.r.t. number of evaluated image sets

A rare case of sirenomelia with total bilateral cleft lip palate and kyphoscoliosis

Sirenomelia, a rare congenital deformity, has fused lower limbs with variable combination of visceral anomalies. This condition is fatal within a day or two of birth so early antenatal detection and pregnancy termination is advocated. Antenatally it can be diagnosed by ultrasonography showing oligohydramnios, renal agenesis and fibulae positioned between the tibiae. A 24 years old Muslim primigravida came for first antenatal check up at 18 weeks of pregnancy. She didn’t turn up and came directly in emergency at 37 weeks in active labor and delivered a baby weighing 1.8 kg with a small sized placenta, complete bilateral cleft lip palate, Kyphoscoliosis and fused lower limbs upto ankles. Baby expired after 25 minutes of birth. Till now around 300 cases of Sirenomelia have been reported worldwide. All human cases of Sirenomelia have been found to be associated with variable degree of renal and urethral dysplasia or renal agenesis. External genitalia are affected, whereas gonads remain unaffected. In rare cases Sirenomelia is associated with upper body defects including cleft palate, cervical and upper thoracic vertebral abnormalities, pulmonary hypoplasia and cardiac defects

Nomographs for Polymeric Material Selection for Environmental Conscious Design of Industrial Products

Environmentally-conscious product design using Life Cycle Assessment (LCA) deserves the utmost attention to save and sustain our planet’s lives, flora and fauna. The choice of materials during the design stage needs to address environmental concerns from their sourcing to production and ultimately going up to the disposal stage. A good majority of industrial products are still not designed, focusing the environmental concerns. The inclusion and practice of the LCA approach during product designing are in a nascent stage not only in India but even over the rest of the world. Nowadays, polymers share a major chunk of the volume of goods produced worldwide and thus have a significant effect on the environment. The available design books or nomographs guide the selection of materials considering several criteria but not considering the related environmental issues. This paper attempts to bridge this gap only for the selection of polymeric materials by providing some easily interpretable and visually ready reckoners in the form of 3-D nomographs. These 3-D nomographs, graphical representations developed using the Solidworks software, echo the material’s Environmental Impact (EI) potential on an axis with some two material properties (e.g., tensile strength and density) on the other two axes. 3-D nomographs are suitably transformed into 2-D nomographs without the loss of any information. EIs on these nomographs were computed using SimaPro software. The potential EI of any product and the overall environmental burden due to them can be significantly reduced, and more so when they are mass-produced, by selecting the right materials using these nomographs. Such an approach will help in fulfilling long-term sustainable development goals of society and the globe

Studies on plant regeneration and transformation efficiency of Agrobacterium mediated transformation using neomycin phosphotransferase II (nptII) and glucuronidase (GUS) as a reporter gene

Plant transformation mediated by Agrobacterium tumefaciens, a soil plant pathogenic bacterium, is the most used method for the introduction of foreign genes into plant cells and the subsequent regeneration of transgenic plants. We have standardized the tissue culture media for the regeneration and transformation with the vector LBA 4404 (pCAMBIA 2301), so that in future, this system may be exploited for the expression of antibody fragment (single chain variable fragment) in plants (plantibody). The transformed green shoots tested positive for neomycin phosphotransferase II (nptII) gene and glucuronidase (GUS) were screened, rooted on MS medium and subsequently hardened to harvest seeds. The transformation frequency of Agrobacterium (LBA 4404) with the binary vector pCAMBIA 2301 on the basis of GUS resistance was found to be 2.9%.Key words: Agrobacterium, transformation, Nicotiana tabacum, tobacco, transformation frequency

Life Cycle Assessment Based Analysis of Water Bottle Designs for Defence Application

This paper presents the successful implementation of the Life Cycle Assessment (LCA) approach for the sustainable development of a defence product.  Alternative designs of this product are evaluated from the environmental burden perspective.  The products considered are water bottles used by the armed forces in places like the Siachen glacier, where the environmental factors are of great concern.  From the environmental degradation perspective, the suitability of three existing bottle types has been analysed using LCA and Life Cycle Impact Assessment (LCIA) approaches on SimaPro software for each of its components and the bottle as a whole.  Using this software, uncertainty analysis has also been carried out by conducting a Monte Carlo simulation for a reasonable confidence level.  The latest design was found to have the least environmental burden, being 82.62% less compared to the first design.  To augment the environmental performance further, the best design was again reviewed by carrying out component level analysis to identify feasible alternative materials that would be functionally equivalent but with lower environmental impact.  It suggested switching to lower impact material for the cap and cap cover for the proposed design.  With the adoption of the changed material, the environmental performance improved by 10.61 % as compared to the best design and 84.46 % compared to the earliest design.&nbsp

NEW FIXED POINT RESULTS FOR T-CONTRACTIVE MAPPING WITH c-DISTANCE IN CONE METRIC SPACES

In this article, we generalize and improve the results of Fadail et al.[Z. M. Fadail and S. M. Abusalim, Int. Jour. of Math. Anal., Vol. 11, No. 8(2017), pp. 397-405.] and Dubey et al.[AnilKumar Dubey and Urmila Mishra, Non. Func. Anal. Appl., Vol. 22, No. 2(2017), pp 275-286.] under the concept of a c-distance in cone metric spaces. We prove the existence and uniqueness of the fixed point for T -contractive type mapping under the concept of c-distance in cone metric spaces