bluuebunny/crossref_metadata_2025_split huggingface dataset:
CUBIC Z-SUBALGEBRAS IN Z-ALGEBRAS
Authors: Sowmiya S. , Jeyalakshmi P. 
Published: November 2021

Abstract
In this article, the notions of Cubic Z-Subalgebras in Z-algebras is introduced and some of their properties are investigated. The Z-homomorphic image and inverse image of cubic Z-Subalgebras in Z-algebras is investigated. Also, the cartesian product of cubic Z-Subalgebras in Z-algebras is also discussed.
QUASI M-CLASS Ak* OPERATORS AND ITS SPECTRAL PROPERTIES
Authors: Maheswari Naik P. , Shanmugapriya P. , Benali Abdelkader 
Published: November 2021

Abstract
The M-Class Ak
* Operator is further extended as Quasi M-Class Ak
* Operator. This article aims to prove certain spectral properties of Quasi M-Class Ak
* and certain results were proved using examples. Further, tensor product results were also investigated.
Generative Adversarial Networks for Facial Image Inpainting and Super-Resolution
Authors: Aishwarya G , Raghesh Krishnan K 
Published: November 2021

Abstract
Inpainting helps to fill in the lost data in visual images. Inpainting techniques also refer to unusual image editing in distorted regions. These include areas that are noisy, blurred and watery areas. The most appropriate pixel values must be replaced in these regions to achieve good performance. Artists used to play it, and still now, pieces that are not in the picture can be inpainted in the same manner, though it takes more time. In the present age of automation, inpainting can be automated to obtain quicker and better outcomes by deep learning technologies. In this area, many of the latest techniques have been created, however, many methods produce blurred findings and data loss. Two adversarial networks are used to achieve this task, where first network aims at inpainting and the second network aims at super-resolution. The input generated as a part of first stage network is passed on to the second stage super-resolution network to overcome blurriness that is caused in the initial inpainting network. The network efficiency is determined in terms of increased PSNR obtained which is 28.19 dB with less training period of approximately 14 hours in comparison with other network models which performs similar task.
Dual scaled approach SPR-based PCF RI sensor with ultra-low loss
Authors: Nuzhat Samiha , Sultana Sanjida , Hassan Faiyaz Bin , Biswas Shovasis Kumar , Gupta Mohona Das , Talukder Hriteshwar 
Published: November 2021

Abstract
We demonstrate an ultra-low loss photonic crystal fiber (PCF) sensor based on surface plasmon resonance (SPR)in this paper. In this refractive index (RI) sensor, we explored hexagonal-arrangement of airholes and employed only two different sizes of it. The formation of airholes makes the confinement loss (CL) surprisingly low. The maximum CL is as low as 10.71 and 28.58 dB/cm for x and y-pol modes, respectively within a range of refractive indices 1.33-1.40. The maximum gained amplitude sensitivity is -1212 RIU−1 and -2430 RIU−1, and the maximum figure of merit is as high as 583 and 467 respectively for x and y-polarization (pol) modes respectively. In addition to that, we got a maximum wavelength sensitivity, Sw of 14,000nm/RIU for both x and y-pol modes with a minimum sensor resolution of 7.143x10−6. Gold is preferred over other materials as the plasmonic material for its inert behaviour and higher chemical stability. The analysis was carried out using the finite element method (FEM). This sensor, with its elegant configuration, fabrication feasibility, ultra-low loss, stands out to be an effective and eminent prospect in the current burgeoning SPR sensor realm and also prompts further creative exploration in its hexagonal lattice arrangements.
Robust DWT-SVD Domain Image Watermarking based on Iterative Blending
Authors: Varun Kodathala Sai , Mandava Ajay Kumar , Chowdary Rakesh 
Published: November 2021

Abstract
Copyright protection for digital multimedia has become a research hotspot in recent years. As an efficient solution, the digital watermarking scheme has emerged at the right moment. In this article, a highly robust and hybrid watermarking method is proposed. The discrete wavelet transform (DWT) and the singular value decomposition (SVD) as well as iterative blending are adopted in this method to insert and recover the watermark. To enhance the watermark imperceptibility, the second low-level (LL2) coefficients after SVD are modified by using the watermark. Compared with the conventional DWT-SVD-based watermarking method and other watermarking techniques, the watermarked images obtained by the proposed method have higher image quality. In addition, the proposed method achieves high robustness in resisting various image processing attacks.
Effects of dielectric substrate material microstrip antenna for limited band applications
Authors: Saxena Ravi Shankar , Kavitha S , Singh Ashish , Mishra Anurag 
Published: November 2021

Abstract
In this paper, an analysis of dual frequency resonance antenna is achieved by OM-shape microstrip patch antenna. The proposed antenna is analyzed using IE3D simulation software. The analysis of proposed structure is done by varying the dielectric constants and height of the substrate as well as gain and radiation pattern of the antenna is obtained. It observed that on varying the dielectric substrate the effect on proposed antenna is very effective.
Virtual Machine Allocation Policy for Load Balancing
Authors: Shabina Ghafir M. , Alam Afshar , Siddiqui Farheen , Naaz Sameena 
Published: November 2021

AbstractThis paper focuses on the VM allocation policies for load balancing in cloud computing environment. Intermittent nature of balancing the load scheme into the cloud computing becomes a challenging job and it also affects the load balancing of the cloud. The suggested proposed model generates and step-up the VM allocation policies but also transforms the generated cloud workload. Furthermore, to improve the workload distribution of workload and stability of the overall cloud computing environment the load balancing algorithm is most important for load balancing. The work of load balancing is equally effective in the cloud computing environment and it is most essential one for load balancing algorithms to take care of all issues at the time of the work load. The researchers studied different algorithms to solve the problems of load balancing that generate problems during the distribution of workloads. The analysis VM allocation policies are tested on CloudSim environment and the results, and discussion is about to which one VM allocation policy is superior.
RETRACTED: Umpire Gesture Detection and Recognition using HOG and Non-Linear Support Vector Machine (NL-SVM) Classification of Deep Features in Cricket Videos
Authors: Nandyal Suvarna , Kattimani Suvarna Laxmikant 
Published: November 2021

Abstract
Gesture Recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an intelligent and efficient human–computer interface. The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation, monitoring patients or elder people, surveillance systems, sports gesture analysis, human behaviour analysis etc., to virtual reality. In recent years, there has been increased interest in video summarization and automatic sports highlights generation in the game of Cricket. In Cricket, the Umpire has the authority to make important decisions about events on the field. The Umpire signals important events using unique hand on signals and gestures. The primary intention of our work is to design and develop a new robust method for Umpire Action and Non-Action Gesture Identification and Recognition based on the Umpire Segmentation and the proposed Histogram Oriented Gradient (HOG) feature Extraction oriented Non-Linear Support Vector Machine (NL-SVM) classification of Deep Features. Primarily the 80% of Umpire action and non-action images in a cricket match, about 1, 93, 000 frames, the Histogram of Oriented Gradient Deep Features are calculated and trained the system having six gestures of Umpire pose. The proposed HOG Feature Extraction oriented Non-Linear Support Vector Machine classification method achieves the maximal accuracy of 97.95%, the maximal sensitivity of 98.87%, the maximal specificity of 98.89% and maximal Precision of 97.02% which indicates its superiority.
Traceable and Intelligent Supply Chain based on Blockchain and Artificial Intelligence
Authors: Karadgi Sachin , Kulkarni Vadiraj , Doddamani Shridhar 
Published: November 2021

Abstract
Smart manufacturing focuses on maximizing the capabilities to increase multiple objectives, like cost, delivery, and quality, in manufacturing enterprises. This requires implementing product development lifecycle, production system lifecycle, and business cycle for supply chain management. In short, a considerable amount of data is generated in a given manufacturing enterprise. Likewise, progress has been made to adopt blockchain in financial industries, but the adoption is slow in non-financial sectors. The article elaborates a methodology for the realization of a traceable and intelligent supply chain. First, the methodology elaborates on the realization of traceability of enterprise entities, which are an integral part of the supply chain. In this case, each participating stakeholder of the supply chain is required internally to realize a smart manufacturing system with an extension to write critical control data to the blockchain (i.e., a subset of process data). Artificial Intelligence (AI) is being adopted in most industries. A supply chain stakeholder has access to its data and can employ AI to derive new insights. The data available with the stakeholder provides a narrow context. With blockchain, all the stakeholders have access to the data from other stakeholders. Subsequently, the insights derived by a stakeholder will be more meaningful. This will assist in realizing an intelligent supply chain.
Influence of Granite Cutting Waste on Mechanical Properties of Recycled Aggregate Concrete
Authors: Gopu Ganesh Naidu , Sri Durga Vara Prasad M , Kaumanu Sugandham , Ravi Kumar P 
Published: November 2021

Abstract
Solid waste disposition has been a growing problem in many developed and under-developing nations. Major part of development was constituted by construction and infrastructure; on the contrary these industries also lead to release of carbon dioxide into the atmosphere. To overcome these disadvantages; in this research, recycled aggregates from construction waste and granite cutting waste were adopted as a replacement of coarse aggregate and cement respectively. Mechanical properties of recycled aggregate (RA) concrete are tested by replacing coarse aggregate varying from 0% to 100% with a difference of 25% and cement is replaced with Granite cutting waste (GCW) varying from 0% to 20% with a difference of 5%. Mix designation and fresh properties were also presented. Results were plotted and compared with the normal concrete to predict the most optimal values of the replacement. Mix containing 25% of RA and 15% of GCW replaced has shown a notable difference in strength comparing with the normal aggregate concrete.
Numerical Analysis of Picking Mechanism of Power Loom with use of Lagranges’s Method
Authors: Badkar Prahalad S , Benal M.M 
Published: November 2021

Abstract
The vibration analysis of Picking mechanism of Power loom carried numerically employing Lagranges’s Equation with treating forced vibration with multi-degree of freedom. From Lagranges’s Equation provides equation motion. The equation of motion is used to determine the natural frequency of system.
Development of Ultra Strength Concrete
Authors: Gopu Ganesh Naidu , Vara Prasad M Sri Durga , Mylavarpu Swaroop Babu , Ankarao S 
Published: November 2021

Abstract
Most superior cements delivered today contain materials notwithstanding Portland cement to help accomplish the compressive strength or solidness execution. These materials include fly ash, silica fume and ground-granulated blast furnace slag used discretely or in coalescence. Concurrently, chemical admixtures such as high-range di-hydrogen monoxide-reducers are needed to ascertain that the concrete is facile to convey, place and culminate. For high-strength cements, a blend of mineral and compound admixtures is almost consistently fundamental to guarantee accomplishment of the necessary strength. The Primer investigations have been done on concrete, Fine aggregate and coarse aggregate. The Blend Extent for M200 grade concrete is determined 1: 0.313: 1.463 by following the plan methodology given by ACI Strategy. By keeping up the w/c proportion as 0.25, the multi day Compressive strength, Flexural strength and Split elasticity of cement at 3% of silica fume and 1.5% of conplast have been accomplished as 163.33 N/mm2, 8.4 N/mm2& 9.5 N/mm2 separately. The variety of solidarity of cement with the variety of silica fume is appeared in bar outline. The strength of the concrete might be as yet expanded by decreasing the w/c proportion and expanding the level of silica fume
Properties and Environmental Features of Bricks Made From Textile Waste Sludge
Authors: Premkumar R , Khaja mohideen J , Mathan kumar M , Sundara moorthi T , Celestin X. 
Published: November 2021

Abstract
In recent years, there has been a lot of attention paid to the use of textile sludge waste-based products in the building industry to develop ecologically friendly construction materials. An experimental examination of the characteristics of bricks incorporating textile sludge waste and fly ash is presented in this work. In fly ash bricks, fly ash is used to replace textile sludge waste in the following proportions: For the blend percentage of cement, fly ash, and quarry dust, a 230mm × 100mm × 75mm sample size was used. For varying amounts of the components indicated previously, the findings indicate how compressive strength and water absorption fluctuate with curing age. Then we can cast bricks with various mixed proportions of cement, sludge waste, fly ash, and quarry dust using the 230mm × 100mm × 75mm specimen size. After that, the weight, compressive strength, and water absorption of textile sludge with different concentrations of fly ash bricks were compared. This inquiry is primarily concentrated on maximizing the compressive strength of newly produced bricks while limiting weight density and water absorption through extensive laboratory work. The recognition of elements influencing the diverse qualities of bricks is a clear purpose of pursuing this issue as project work.
Development of an AFO with Dual-material using an FDM Printer
Authors: Otegen D , Shomenov K , Zhangabay K , Adair Desmond , Hazrat Ali Md. 
Published: November 2021

Abstract
This paper presents a design and development of an Ankle Foot Orthosis (AFO) printed with a multi-extrusion Fused Deposition Modelling (FDM) printer. AFO is crucial in the healing of patients with ankle joint displacement. It helps to heal the foot easily. The model is designed to print with dual materials such as flex and polylactic acid (PLA). The critical problem in building a prototype is to obtain excellent bonding properties between the layers of different materials. The Flex material is softer than the PLA and both have different melting temperatures. Thus, successfully printing with an excellent adhesive is the key concern in multimaterial applications. The paper also presents the simulation results of an AFO to justify the mechanical properties and required materials for sustainable development.
Design of 3D volumetric display
Authors: Madhu Aravind P , Balu C Akhil , Krishnan Akshay , Aravind Adithya , Noble Jibin , Sankar Vishnu 
Published: November 2021

Abstract
Stereoscopic, or multi-view, display systems that can give significant visual clues for the human brain to understand three-dimensional (3D) objects, they are regarded as better alternatives to traditional two-dimensional (2D) displays. A device that can render 3D images for viewers without the use of specific headgear or glasses is known as an auto-stereoscopic display. Manipulation of light rays via Light engines is also used to create 3D images in 3D space. We introduce a new auto-stereoscopic swept-volume display (SVD) system based on light-emitting diode (LED) arrays in this research. A display device plus a graphics control sub-system makes up this system. The display device is a 2D revolving panel of LEDs that generates 3D images using “persistence of vision”.
Improving the efficiency of solar drying unit with PCM (Paraffin wax)
Authors: Manirathnam A S , Kumar K Senthil , Sudhakar S , Balaji S Vasanth , Kumar S Sasi , Vibishan R 
Published: November 2021

Abstract
The renewable energy source like solar is been used in this projects to produce more efficiency in a solar dryer. It is one the most reliable energy source and that does not pollute the environment and green house free emission. In this project work we use sunlight to dry the crops and to preserve the dry fruits we are using sunlight. The motivation of the work is to use a solar dryer with phase change material. With the help of PCM we can able to increase the efficiency of solar dryer because of increasing the contact area of the crops with PCM during off sunlight. In this project work we use indirect solar radiation principle because PCM will absorb the solar radiation and that will be emitted during the night time. A absorber plate is used to absorb the solar radiation. Once after receiving the radiation from the sun that is been transferred to the chamber where the crops are been provided. In that chamber we will be having the PCM box that will be in solid state and once after receiving the solar radiation phase change will be taking place from solid to liquid phase. Once the sun starts to set off the solar radiation will not be available so during that time PCM is used to transfer the heat. The moisture present in the crop is been removed with the help of the heated air. With the help of the above information the crop drying process is been evaluated with the help of calculation.
Nonlinear finite element analysis of lumbar spine under mechanical load
Authors: Poojara V , Trivedi R , Modi B , Patel R 
Published: November 2021

Abstract
Nonlinear Finite Element Analysis of lumbar spine is carried out using the optimisation software, to determine the effect of accidents on the human spine under mechanical loading. The lower two lumbar section – L4 and L5 of spinal cord is focussed in the present study. A simplified model of the L4-L5 vertebra was prepared. Bone material was taken as nonlinear and disc centre was modelled as hyper elastic. The ligaments are modelled as 1D truss elements. 2 D triangular mesh was generated and converted to 3D tetrahedral mesh. The range of force of 500 N to 1600N and moment of 7500 Nm was given as an input. The relationship of displacement, stress and strain with force is studied. The analysis was carried out and the results obtained depicted that the force varies depending on the impact of accidents. Conclusions are drawn and the relationship at different values of force was obtained.
Design, Optimization and Validation of Conformal Cooling Technique for Additively Manufactured Mold Insert
Authors: Ganesh G.Dongre , Sarang S.Chaitanya , Sai M.Jonnalagadda 
Published: November 2021

Abstract
Injection molding is a cyclic process comprising of cooling phase as the largest part of this cycle. Providing efficient cooling in lesser cycle times is of significant importance in the molding industry. Conformal cooling is a proven technique for reduction in cycle times for injection molding. In this study, we have replaced a conventional cooling circuit with an optimized conformal cooling circuit in an injection molding tool (mold). The required heat transfer rate, coolant flow rate and diameter of channel was analytically calculated. Hybrid Laser powder bed fusion technique was used to manufacture this mold tool with conformal channels. The material used for manufacturing mold was maraging steel (M300). Thermal efficiency of the conformal channels was experimentally calculated using thermal imaging. Autodesk MoldFlow software was used to simulate and predict the cooling time required using conformal cooling channels. The results showed a decrease in cooling time and increase in cooling efficiency with the help of conformal cooling in additively manufactured mold insert.
Study of expansive soil stabilized with agricultural waste
Authors: Biswas Tinku , Garg Rishav , Ranjan Himanshu , Kumar Ashwini , Pandey Gaurav , Yadav Kuldeep 
Published: November 2021

Abstract
During any construction on soil surface such as construction of road and airport pavements, compaction of the soil is required and soil stabilization plays a vital role. Various characteristics of soil should be optimized with different factors. Expansive soil has property of swelling when moisture content increases and shrinking when water gets evaporated. Rice husk is a major agricultural waste that is easily available in in India and is generally burnt to get rice husk ash (RHA). This study has been aimed to get dual benefit, first to stabilize expansive soil by addition of RHA and second to effectively utilize RHA, the agricultural waste. It has been observed that at 12% RHA in presence of 5% cement can be effectively used to improve plasticity of soil and CBR value resulting in effective soil stabilization. Thus, the research demonstrates that agricultural waste has efficient use in soil stabilization.
Analyzing behaviour of a rail wheel assembly with alumino thermite weldment with modal analysis simulations in ANSYS
Authors: Sen Prakash Kumar , Bhiwapurkar Mahesh , Harsha S P 
Published: November 2021

Abstract
The Free vibration response of the Railway track is an important area in the design of the Rail and its joints to improve the ride comfort of the passengers. In this study, the rail weld considered is alumino thermite weldment used in majority of Indian Railways network. This paper aims at the study of the vibration response of rail wheel assembly having an AT weld on as a rail joint subjected to free vibration and to find the Natural frequencies of vibration and mode shapes. The geometric model of rail and weldment with wheel and axle components is modelled using Space-claim which is a part of ANSYS package and analysed using numerical simulation package ANSYS 2020 Workbench. In this work, free vibration analysis or modal analysis of the rail weld is carried out to extract the first few modes of vibration. The Natural frequencies obtained along with the corresponding mode shapes of the rail weldment show that they are within the permissible range specified by the standards of railway department also for better ride comfort of the passenger.
On the Detection of Single-Mode Squeezed States in Kerr Nonlinear Coupler
Authors: Hanapi Mohd Syafiq M. , Ibrahim Abdel-Baset M.A. , Julius Rafael 
Published: November 2021

Abstract
The generation of squeezed states of light in two guided waves Kerr nonlinear coupler (KNLC) was examined using both the analytical perturbative (AP) and the short-time approximation (STA) method. A comparative analysis between these two methods is provided. We have found that, at certain combinations of input parameters, the STA method may not be able to detect the generation of squeezed states of light in the current KNLC system. Consequently, some essential physics could be lost. On the other hand, for the AP method, all time-dependent terms are included in the mode solutions which improves its sensitivity to detect the generation of squeezed states.