bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation of neutron background for a dark matter search experiment at JUSL
Authors: Banik S. , Kashyap V.K.S. , Ghosh S. , Dutta S. , Mohanty B. , Meghna K.K. , Bhattacharjee P. , Saha S. 
Published: June 2021

Abstract
Dark matter search experiments demand a low to ultralow radiation background to operate. It is very important to understand the nature of the radiation background including knowledge about the sources contributing to it. Sometimes, evaluation of the background becomes very specific to the site chosen for the experiment, and also to the experimental configuration. A dark matter search experiment is proposed to be set up at the Jaduguda Underground Science Laboratory (JUSL) in India. The laboratory will be located inside an existing mine with 555 m of vertical rock overburden. Neutrons produced from (α,n) reactions, spontaneous fission of natural radioactive impurities in the rocks, and also from cosmic muon-induced reactions are considered as the main background which can affect the sensitivity and outcome of the experiment. In this work, simulations based on GEANT4 are done to understand both the radiogenic neutron background caused by natural radioactivity of the surrounding rock and the cosmogenic neutron background due to interactions of the deeply penetrating cosmic muons with the rock material. The muon flux in the cavern is obtained to be 4.49(±0.25)×10-7 cm-2s-1 and the fluxes of radiogenic and cosmogenic neutrons above an energy threshold of 1 MeV in the cavern are obtained to be 5.75(±0.69)×10-6cm-2s-1 and 7.25(±0.40)× 10-9cm-2 s-1 respectively. The values obtained are comparable with estimates and measurements from DAMA, WIPP, and dark matter experiments at Boulby mine. The effectiveness of different shielding materials is also investigated to obtain the best possible neutron background reduction for a dark matter search experiment at JUSL. We also estimate the sensitivity of a CsI based detector for Weakly Interacting Massive Particle (WIMP) dark matter search at JUSL considering the estimated neutron background.
Implementation of The International Chamber of Ship Guidance For Ship Operators For The Safety of The Health Seafarers in The New Normal Age
Authors: Arleiny  , Soesatyo Y , Roesminingsih E 
Published: June 2021

Abstract
The impact of Covid-19 has threatened various aspects of life, including sailors. Various regulations have been issued to prevent the spread of Covid-19 on ships, such as Sea Transportation Circular Letter No: SE. 11 of 2020, Circular Letter No. 4202 / Add.4 International Chamber of Shipping (ICS), Circular Letter No. 4202 / Add.3 World Health Organization (WHO), and Circular Letter No. 202 / Add.2 WHO-IMO Joint Statement. The problems faced by seafarers with the existence of this regulation include the difficulty of ships entering the port, delays in issuing shipping approval lines and even the effects of these port entry restrictions or port closure causing crew changes to be prohibited. Based on the background of the problems mentioned above, The study aims at the introduction, in the new standard era and the solution to the problems of development of international Council of Ships Advice to Ship Safety Operators for Seafarers in the new standard era. In this article, the analysis methodology is the law. By reviewing all laws and regulations concerning legal matters being dealt with the legislative method shall be applied. The study is more oriented towards the approach of the legislation in relation to the introduction of the newly-formed norm era of the use of the international shipping chamber for marine operators. Data Analyse Techniques The approaches used during the analysis are qualitative analytical tools which start with specific hypotheses and certain paradigms as basis for initial findings. Data analysis techniques are deductive analytical tools. Health protocols issued both internationally and domestically are sufficient to become a standard for seafarers. The Ministry of Transportation has not made Standard Guidance for a crew change, resulting in long delays which can lead to high costs such as accommodation while waiting for results, double rapid tests, especially for crews whose mobilization places are far away.
Study on Blasting Construction Technology of Tunnel Engineering in Soil-rock Interlaced Strata at Soft and Hard Rock Boundary
Authors: Kong Lingqiang 
Published: June 2021

Abstract
With the development of transportation construction and the acceleration of urbanization in China, the construction of urban highway tunnel engineering has also entered a new climax. In order to overcome obstacles in terrain and elevation such as railway construction, blasting technology for railway tunnel construction is widely used. However, due to the unhealthy and complex geological conditions of railway tunnels, and the unreasonable application of blasting technology, blasting safety accidents occur. Blasting technology in railway tunnel construction, but blasting construction is easily interfered by various external interference factors. In the tunnel face blasting construction under the condition of soil-rock crisscross composite stratum, not only the physical and mechanical properties of the lower surrounding rock should be considered, but also the engineering characteristics of the upper surrounding rock or surface rock mass have great influence on the construction blasting. Taking the actual project as an example, this paper expounds the tunnel engineering and geological conditions, and studies the blasting construction technology of the tunnel engineering in the soft and hard rock boundary soil-rock crisscross strata to ensure the safety of blasting construction.
Analysis on Relay Coordination in IEEE 9 bus PV integrated Hybrid Power System using ETAP software: A case study
Authors: Mukherjee Subhajit , Mandal Ratan , Ganguly Arijit , Kumar Paul Asoke 
Published: June 2021

Abstract
The modern power system of the country like India, there is an important need to design an uninterrupted electrical power system network having adequate security, stability and reliability. In this present paper an IEEE 9-Bus hybrid system is considered for a short circuit analysis and protection relying coordination for designing of overcurrent relaying scheme to operate the relay efficiently and disconnect the fault section from healthy section instantly. It also compares the differences between existing systems with PV connected hybrid system. Now days, when Electrical Power System adopts the Renewable Energy source with existing power source of the network, the main challenge is to design a protection scheme to protect the hybrid system where different intermittent sources make a great impact. To design such a power system the behavior of the existing protection scheme need to be analyzed. In this paper authors simulate an IEEE 9-Bus system using ETAP simulation and analysis is made through Load Flow Study and Short Circuit Analysis. The study reveals that the behavior of the protection system changes with variation of the renewable energy sources integrated with in the bus system. Also set point of the protection relays varies with percentage sharing of the load by PV sources compared to the existing scheme. Observation of the behavior of existing protection system with PV connected hybrid system generates a road map to design an accurate protection scheme for hybrid system.
Renewable Energy Sources In Rajasthan For Sustainable Development
Authors: Paliwal Hemani , Dave Vikramaditya 
Published: June 2021

Abstract
Globally, energy consumption is increasing drastically due to the economic growth, rapid industrialization and increasing domestic comforts. Also energy is now considered to be important criteria for sustainable development of any country. Melting of ice caps, overabundance of greenhouse gases, global warming and other drastic climatic changes worldwide, has turned attention towards environmental issues. Exploiting the enormous potential of renewable energy sources could be one of the alternatives of total dependency on the conventional energy resources. In India, the population is sparsely scattered in vast geographic location, because of which the government often cannot provide electric power to the entire citizen through the centralized national grid. In that case, renewable energy is a good option to as it can be used as a stand-alone distributed generation system. In this paper, the availability and current status of renewable energy in Rajasthan is summarized. This summary of available resources helps researchers, investors and developers to find probability of improvement in technologies to harness renewable energy and to map out further expansion of renewable energy generation.
AI based Music Recommendation system using Deep Learning Algorithms
Authors: Anand R , Sabeenian R.S , Gurang Deepika , Kirthika R , Rubeena Shaik 
Published: June 2021

Abstract
The customized recommendation framework for music should accurately represent private tastes. To obtain tailored feedback for the needs of various viewers, it takes adjustments. To find the better deep learning model for the recommendation may pave a way for a better recommender. Compared to the previous era, with commercial music streaming sites that can be downloaded from mobile devices, digital music availability is currently plentiful. It takes a very long time to figure out all this digital music and induces data exhaustion. It may be helpful to create a music recommendation system that can automatically scan the music libraries and suggest appropriate songs to users. The music provider will anticipate and then give their customers the appropriate songs based on the characteristics of the music previously heard by using the music recommendation system. Our study would like to build a framework for music recommendations that can provide recommendations based on the similarity of audio signal features. This research uses the Convolutional Neural Network (CNN) and the Recurrent Neural Network (RNN). Customized recommendation system for music should effectively represent private preferences. To attain tailored recommendations for the demands of different listeners, it needs changes and therefore, attempting to find a better deep learning model for the recommendation will pave a way for a better recommender.
Automatic Social Distance Monitoring system using Deep Learning Algorithms
Authors: Shanthi T. , Anand R. , Hareesh K. , Jagan M.S. , Baskar V. , Bhanu Thanneru 
Published: June 2021

Abstract
In recent months, the worldwide outbreak of Corona Virus Disease (COVID-19) has created a panic situation for all human beings irrespective of the geographic location and economic status of the countries. The communal spread of the deadly virus can be prevented by maintaining the social distance between people and the wearing of face masks. This paper provides a prominent solution for monitoring using the Open-Source Computer Vision Library (Open-CV) and Deep Learning Algorithm to course people in public areas and to avoid crowding. This proposed project can be implemented using images taken from the Closed Circuit Television (CCTV). The distance between the people is detected with help of an object detection algorithm. The Euclidean distance is calculated and compared with the standard distance given. The persons with enough distance will be indicated in the green-colored bounding box and others with a red-colored bounding box. The total number of violations is also shown at the output feed. This project provides a solution to eradicate the spread of the deadly virus to an extent with minimum human effort and reduced risk of infection to the local athourities.
Development of a bi- directional multi- input- multi-output predictive model for the fused deposition modelling process using co-active adaptive neuro-fuzzy inference system
Authors: Dhar Ananda Rabi , Gupta Dhrubajyoti , Roy Shibendu Shekhar 
Published: June 2021

Abstract
In the automated manufacturing industries, modelling and prediction of the process parameters of additive manufacturing plays an important role. This paper proposes a computationally intelligent method using coactive-adaptive neuro-fuzzy inference system to establish relationships between the process parameters and the responses, in both forward and backward directions, for the fused deposition modelling process. Experimental data have been statistically analyzed and regression equations have been generated to produce large training samples. The model has been built using six inputs each with non-linear Gaussian membership function distributions, and three responses, each with linear membership function distributions for the forward-directed mapping. Similarly, three inputs and six outputs from the same training data set have been used to formulate the backward-directed inference model. The parametric study for the used back propagation algorithm has been conducted and validation has been accomplished with the optimal settings using actual experimental data.
Study and development of searching casualty and detecting fire by rescue robot
Authors: Yadav Sandeep , Raghuvanshi Rituraj , Bhadviya Avi , Sonare Rahul , Paliwal Satyam , Kashiv Vikas 
Published: June 2021

Abstract
The project titled study and development of searching casualty and detection of fire by rescue robot is associated with new equipment to complete the task and to respond in hazards situation. Search and rescue robots are developed for a certain purpose that humans can’t perform. Our objective is to design, construct, and develop a robot to use in emergencies that will be able to perform the seek and salvage operation. Fallen structures are the shakiest spot to perform search and salvage mission by human where the weight and size restricts the rescuer developments. The robot is designed to find injured victims and trash life, create a map of the disaster area, and collect the necessary information by digging and supporting robots to the data centre.
Horizontal axis wind turbines passive flow control methods: a review
Authors: Manerikar Sudhanshu S. , Damkale Sourabh R. , Havaldar Sanjay N. , Kulkarni Shubhanga V , Keskar Yash A. 
Published: June 2021

Abstract
In improving wind turbine torque and power output, the aerodynamic characteristics of wind turbines blades play an important role. Unleashing easy but efficient flow enhancement techniques over aerofoil sections used in horizontal axis wind turbines (HAWT) has become essential in the increasing demand for this source of renewable energy. These techniques or methods are primarily categorized into two kinds: active and passive. Active methods of flow control need energy expensewhereas passive flow control methods are needless of auxiliarypower. This paper investigates various passive flow control strategies that have great potential to boost the aerodynamics of blades of HAWT. The mechanisms and working principles, along with the findings from various experimental studies and CFD results for passive flow control systems are included in this article. Also, some of these studies are supported by demonstrating the lift and coefficient of drag (CD) variation with the angle of attack (AoA). The review suggests simple, cost-effective ways of improving lift and controlling the aerofoil stalling behaviors to obtain higher power efficiency for HAWT.
Investigation on dynamic behaviour of shape memory alloy (SMA) wire embedded composite
Authors: Patil Ranjit A. , Rane Santosh B , Kumbhar Samir B 
Published: June 2021

Abstract
Smart Material are responsive and intelligent materials. Shape memory alloy (SMA) are subset of a broad class of smart material. The functionalities arise from their underlying microstructural changes when subjected to external non-mechanical stimuli like temperature or magnetic field changes. The study of SMA uses and applications has been done because recently use of shape memory alloy used in the field of the automobile, robotics, medical, Aerospace, Biomedical domain etc. Shape memory alloy can be used for an actuator, sensor, stiffness changer, and damper. The extensive literature survey has been conducted to explore the potential and research scope in this project. This research will help industry to use SMA embedded composite for vibration isolation and damping.
Experimental and comparative analysis of zirconium oxide and fly ash reinforced with heat treated Al 7075 aluminum alloy hybrid
Authors: Mishra P.M. , Tripathi Ajay , Soni Sanjay 
Published: June 2021

Abstract
Aluminum Hybrid Composites are the new generation of metal composites that meet the latest requirements in advanced engineering applications. The mechanical proper- ties of these requirements, the ability to use traditional processing techniques, and the possibility of reducing costs of aluminum hybrid components production are all fulfilled. Aluminum alloy 7075 is an alloy with zinc as a primary alloying element. It is strong, with a strength comparable to many plates of steel, and has good fatigue strength and it has advanced properties like lightweight, corrosion resistance, high thermal conductivities, good mechanical properties, better wear resistance, low coefficient of thermal expansion as compared to the other conventional materials. Nowadays, Aluminum hybrid composites materials are more superior and demanding metal due to their The application of these metals is that is widely used in the field of Aerospace, Marine, & Minerals processing industries and many other industries due to their wonderful mechanical properties. AL 7075 one of the most superior grades of the Aluminum alloy to fabricating the single and hybrid composites materials. The stir casting method is extensively used to manufacture or fabricate composites materials.
Experimental testing of 3D printed polymeric heat exchangers
Authors: Fontana L , Minetola P , Calignano F , Iuliano L , Khandpur M S , Stiuso V 
Published: June 2021

Abstract
Unlike conventional manufacturing technologies, additive manufacturing and 3D printing empower engineers with much more design freedom. Heat exchangers with complex internal channels or lattice structures can be designed for layerwise manufacturing by maximizing the surface to volume ratio. Low-weight polymeric heat exchangers are employed in aviation and aerospace applications. For increasing the thermal performance of polymers, additives can be used such as graphene. In this study, a Grafylon filament is used for the production of a simple heat exchanger by 3D printing. The heat exchanger is composed of two external shells and an interior duct with a two-stage 45-degree bend. For watertight purposes, the duct is manufactured by selective laser sintering of polyamide powder. Two replicas of the shells are fabricated by 3D printing of Grafylon and acrylonitrile butadiene styrene (ABS) respectively. The thermal performance of the two materials is experimentally tested and compared also to numerical simulations. The results of the study show that the Grafylon filament provides enhanced thermal performance to 3D printed heat exchangers of polymeric material.
Development of ecosystem for effective supply chains in 3D printing industry - an ISM approach
Authors: Singh S , Agrawal V 
Published: June 2021

Abstract
3D printing (3DP) is an important technology to manufacture the objects of intricate designs that are otherwise not possible for traditional manufacturing. This technology has witnessed growth in research papers in the last decade that shows the increasing interest of researchers and users in this technology. Many researchers have predicted and written about the unimaginable new supply chain configurations after the large-scale adoption of 3D printing. A supply chain is a lifeline for any business because it drives the business by satisfying customers’ demands economically. This study was undertaken to explore the factors that are critical for developing a supply chain ecosystem for the 3DP industry. The study used the literature of the relevant research papers, conference articles, additive manufacturing business reports, and supply chain management (SCM)research papers & articles on 3D printing technology. This study highlights factors that are critical for the supply chain ecosystem for the 3DP industry. Interpretive Structural Modelling (ISM) methodology identified interactive association among those factors. Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC analysis) has classified those factors into four categories for better understanding and strategy making. The stakeholders in the 3D printing industry can draw insights from the output of this study. Researchers can do further research on these factors for the benefit of sustainable supply chains in the 3DP industry.
Comparative study of pressure variations in water distribution network due to change in location of elevated service reservoir
Authors: Thumma Arun Reddy , Aravindan A 
Published: June 2021

Abstract
This paper compares the pressure variations in a water distribution system due to a change in the location of an elevated service reservoir with an intermittent type of supply for a continuously increasing demand. For this study Water Gems connect edition software is used for the design of a water distribution network. This study is conducted in the Eturnagaram habitation of Mulugu district. The Water Distribution Network is designed for 30 years with PVC as pipe material and intermittent type of supply. Further, this water distribution system is analyzed for pipe bursts and proposes a framework for the operation and maintenance of the water distribution network.
Development of novel single-source precursor of tin for deposition of tin oxide thin films for various applications
Authors: Sharma Priyanshu , Tripathi Santosh Kumar , Jaiswal Piyush 
Published: June 2021

Abstract
Novel single-source organometallic precursor, Triethanolamine Tin (II) (Sn-TEA), was synthesized by the reaction of SnCl2 and triethanolamine in the presence of Sodium acetate. TGA, FTIR, 1H characterize the Sn-TEA precursor, and 13C NMR was done to confirm its thermal stability and predict its molecular structure. The 1H and 13C NMR showed an organometallic molecule as TEA and acetate form a coordination sphere around the Sn atom in a stable structure. The TGA showed two thermal decomposition steps at ~206.14oC and ~750oC and residue at 800 °C. The precursor was pyrolyzed at 400oC, and the residual powder was characterized by FTIR, which indicated the formation of Tin Oxide. The precursr was then used to deposit SnO2 films by microwave-assisted solvothermal process on glass substrates. The films were characterized with XRD, FESEM and tested for conductivity. XRD confirmed the formation of SnO2 of the cubic lattice. The precursor concentration and microwave irradiation time on the film morphology, compositional analysis, and electrical conductivity were studied thoroughly. Sn-TEA complex proved to be a potential single-source precursor for SnO2 production, and it can be applied to develop highly pure/doped SnO2 films for gas sensing applications in a cost-effective manner