bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simultaneous multiple-stimulus auditory brain–computer interface with semi-supervised learning and prior probability distribution tuning
Authors: Ogino Mikito , Hamada Nozomu , Mitsukura Yasue 
Published: November 2022

Abstract

Objective. Auditory brain–computer interfaces (BCIs) enable users to select commands based on the brain activity elicited by auditory stimuli. However, existing auditory BCI paradigms cannot increase the number of available commands without decreasing the selection speed, because each stimulus needs to be presented independently and sequentially under the standard oddball paradigm. To solve this problem, we propose a double-stimulus paradigm that simultaneously presents multiple auditory stimuli. Approach. For addition to an existing auditory BCI paradigm, the best discriminable sound was chosen following a subjective assessment. The new sound was located on the right-hand side and presented simultaneously with an existing sound from the left-hand side. A total of six sounds were used for implementing the auditory BCI with a 6 × 6 letter matrix. We employ semi-supervised learning (SSL) and prior probability distribution tuning to improve the accuracy of the paradigm. The SSL method involved updating of the classifier weights, and their prior probability distributions were adjusted using the following three types of distributions: uniform, empirical, and extended empirical (e-empirical). The performance was evaluated based on the BCI accuracy and information transfer rate (ITR). Main results. The double-stimulus paradigm resulted in a BCI accuracy of 67.89 ± 11.46% and an ITR of 2.67 ± 1.09 bits min−1, in the absence of SSL and with uniform distribution. The proposed combination of SSL with e-empirical distribution improved the BCI accuracy and ITR to 74.59 ± 12.12% and 3.37 ± 1.27 bits min−1, respectively. The event-related potential analysis revealed that contralateral and right-hemispheric dominances contributed to the BCI performance improvement. Significance. Our study demonstrated that a BCI based on multiple simultaneous auditory stimuli, incorporating SSL and e-empirical prior distribution, can increase the number of commands without sacrificing typing speed beyond the acceptable level of accuracy.
Study of the Secant Pile Wall technique, its application and Sustainable Construction Using the Non-Biodegradable Waste as partial replacement for Concrete materials
Authors: Chakole Pallavi , Date Shubham 
Published: November 2022

Abstract
The planning and execution of the project of a Secant Pile wall are presented in this study. Secant pile walls are a type of embedded retaining wall that allows for excavation of great depths in water-logged terrain and soft sub stratum. To construct the walls, pilings are placed in a certain order. Soft piles are set first, then hard piles are laid on both sides, overlapping and cutting through the soft piles. This design can also be utilised as a cut-off wall for fine sands and very soft wet soils.
In light of the significant growth, the idea of using non-biodegradable trash in concrete is also incorporated. Many non-biodegradable wastes exist; this study includes research on the potential reuse of ceramic waste, plastic granules, and glass trash as partial replacements in concrete materials. These waste materials are collected in various percentages and replenished using the cited publications. The properties of concrete containing the appropriate waste material are investigated.
Thermal Performance Improvement of Modified Hemispherical Cavity Receiver with Air Curtain
Authors: Simer Abhishek , Maurya Akanksha , Kumar Anoop 
Published: November 2022

Abstract
Heat losses from solar cavity receivers degrade the efficiency of solar parabolic dish collector system. Specifically, increased convection losses emulate a significant contribution in decreasing the performance of the modified solar cavity receiver and hence, reducing these convection losses has become a matter of great concern. The Air curtain plays a crucial role in minimizing the convection losses. This work proposes an air curtain-based modified cavity receiver wherein a plane nozzle is placed on the face of receiver to produce air curtain effect. Air curtain will prevent hot air from escaping the modified cavity receiver and increase the stagnation zone inside it to reduce natural convection on the surfaces. Numerical analyses are performed considering different air velocities and receiver orientations to evaluate the effect of air curtains on the convection losses. The impact of plane air nozzle parameters like outlet temperature, inclination, and outlet velocity of the nozzle on convection losses are shown and these parameters’ optimal value is evaluated. Our results state that the air curtain attached to the modified solar cavity receiver significantly improves performance by reducing the convection losses.
Effect of undercut slots on the overall performance of microchannel heatsink
Authors: Nawaz Khan M , Karimi M N , Khan M A , Siddiqui M Y , Rehmaan T 
Published: November 2022

Abstract
In the current study, a numerical analysis has been performed to examine the performance characteristics of the slotted microchannel heat sink. Twelve equidistant slots are entrenched at the base wall of the channel. Four different shapes of slots are considered in this study. They are rectangular (case 1), trapezoidal (case 2), V (case 3) and curved shaped (case 4). Numerical simulations have been performed for these cases with Reynold’s number ranging between 150 to 350 with a constant heat flux of 100 W/cm2 and the results are compared with the plain channel. It is observed that cases 1 and 2 have higher overall thermal performance than the plain channel in which case 2 outperforms case 1 whereas the performance of cases 3 and 4 are lower than the plain microchannel. It is suggested from the analysis that the plain microchannel may be replaced by a trapezoidal shape slotted microchannel in further studies.
Numerical analysis of heat transfer from perforated fins of an induction motor housing
Authors: Bhambere M B , Chaudhari S S 
Published: November 2022

Abstract
The major goal of this research article is to demonstrate how perforation on the fin surface of an induction motor’s housing improves cooling performance. Heat transfer study was also conducted between traditional fins and the suggested perforated fins housing. An Induction Motor (IM) overheats as a result of continuous operation, raising its temperature, lowering its performance and shortening its lifespan. The innovative designs and development of fins are necessary for effective cooling and enhancing the thermal performance of IM. In the present work, the thermal analysis of induction motor is carried out by means of providing the perforations on existing fins and varying perforation size from 4 mm to 10 mm diameters and number of perforation from 20 to 11, on fins and observed the steady state heat transfer and temperature variation. In this regard, the half part of IM is modelled because of symmetry and steady state thermal analysis is carried out for un-finned, solid fins and perforated fins using ANSYS software. Results show that, more reduction in temperature on the surface of IM is observed in case of perforated fins having 11 perforations of 10 mm diameter, as compared to the other cases.
Numerical Simulation of Nucleate Boiling Heat Transfer Performance using SiO2/Water Nanofluid
Authors: Singh Akshay Kumar , Singh Sudhir Kumar , Sharma Deepak 
Published: November 2022

Abstract
Nucleate boiling regime is the most efficient regime that gives the maximum heat flux at the wall superheat range of 5 °C to 30 °C. In this current study, the nucleate pool boiling heat transfer performance of SiO2/water nanofluid are studied numerically. The effect of volume fraction (0.01 – 0.06 vol. %) of nanofluid on heat transfer coefficient and wall superheat are investigated. The variation in heat transfer coefficient (HTC) & wall superheat with different heat flux are investigated. Eulerian multiphase approach with RPI boiling model is used to carry out the simulation. The pool boiling heat transfer performance increased with rise in volume concentration of nanofluid up to an optimum concentration of 0.05 % and then it starts to decrease. A reduction in wall superheat of 6.7 %, 8.43 %, 11.27 % and 9.3 % are obtained for SiO2/water nanofluid with volumetric concentration of 0.01, 0.02, 0.05 and 0.06 vol. % respectively as compared to base fluid. Heat transfer coefficient enhanced by 3.55 %, 7.2 %, 23.87 % and 19.67 % for SiO2/water nanofluid with volumetric concentration of 0.01, 0.02, 0.05 and 0.06 vol. % respectively as compared to base fluid.
Optimization and fabrication of Load carrying device design using ANSYS DO Module
Authors: Gangwar Ansh , Srivastava Sambhrant , Kumar Adesh , Umar Md 
Published: November 2022

Abstract
Simulation technique is one of the advanced techniques in Finite Element Method. It is used as one of the tools for designing and analysis of any structure. Load carrying device is important for labors in construction works, cargo carrying etc. because the most efficient and cheap design can help them from hazardous and poisonous environment. Different load carrying device are available but their optimization regarding the load is still a challenge. In this work we have taken reference of female labors carrying load on their head like, bricks, cement, concrete on construction sites. To achieve this, a parametric design is done in ANSYS software and optimize the shape and mass of load carrying device using DO module. Then using guadua bamboo a load carrying device is made and its weight is measured. Load carrying device suitability is checked by carrying bricks on the construction site.
Effects of processes parameters on spring back, wrinkles and cracks in different flanging processes: A Review
Authors: Kumar Surendra , Singh Pradeep , Soni Manoj , Shakya J.P. , Panthi Sanjay Kumar , Ahmed Meraj 
Published: November 2022

Abstract
Flanging is an important type of sheet metal bending process. In present review, an effort was made to explore the contributions of various researchers to drawn out the cause of defects in the flanging process. Several parameters such as geometrical, material and process parameters affect the formability of the flanging process. In straight flanging process, spring back (due to elastic recovery) is a major problem that affects dimensional and geometrical accuracy of a bent component. Several factors are responsible for springback such as – profile radius of punch and die, bend angle, thickness of sheet, clearance between punch and die, blank-holder force, Young’s modulus, n-value, yield stress, plastic anisotropy of materials, velocity of punch etc. In shrink flanging process, wrinkling is the prime concern that occurs due to the excessive compressive stress in the flange portion. It is mostly affected by mechanical properties of material (R-value, n–value etc.), geometry of the tools and blank, process parameters. In stretch flanging process, the effect of material parameters is found to be less as compared to geometrical parameters for crack initiation and thinning.
Structural and modal analysis of gas turbine blade using ansys
Authors: Paricharak Hrushikesh , Tiwari S.K. 
Published: November 2022

AbstractGas turbine technology has advanced significantly during the last twenty years. The advancement in materials technology, new coatings, and novel cooling techniques are driving the expansion. Material selection is critical since turbomachinery design is complicated, and material performance is directly connected to efficiency. The materials should be able to withstand high vibrations, high temperature, and pressure. In this work, the maximum stress and the deformation induced due to pressure were determined to study the vibrational response, mode shapes, and natural frequencies. Four different materials have been considered, namely Inconel 617, Titanium alloy, Rhenium alloy, and Nimonic 80A. A suitable material for a gas turbine blade was suggested after analyzing these materials. The 3D CAD model is modeled in CATIA V5 and analysis is carried out using FEM-based software ANSYS
CAD/CAM Engineering And Artificial Intelligence In Dentistry
Authors: Naidu Vyankatesh , Jaju Santosh 
Published: November 2022

Abstract
Artificial Intelligence is an instantly growing technology that has mesmerized the intellect of experimenters and researchers around the world. Since its commencement dentistry has glimpsed many incredible successes. As the fate of dentistry is adjoining the execution of AI applications, therefore, this condition needs each dentist to get educated and trained. The prelude of robotics to the healthcare sector has boosted the exactness and accurateness in a surgical procedure. However, the position of the dentist cannot be replaced by AI, but AI can be the tool for enhancing the process of dentistry.
Weight optimization and finite element analysis of automobile leaf spring: A design construction referred to electric vehicle
Authors: Shohel Shad Mohammad , Gupta Shaptarshi Sen , Riyad Sabbir Hossain 
Published: November 2022

Abstract
In the current era, an automobile vehicle company’s major focus is now on conserving natural resources, reducing consumption of fuel, and reducing the weight of vehicle components. To reduce greenhouse gas emissions and fuel consumption and mitigate global warming, an electric vehicle will be a viable option. However, the EV’s main issue is the vehicle’s battery longevity. More power is necessary to drive a vehicle. The best solution to the issue is to reduce the vehicle component weight. Electric Vehicle suspension systems are another sector in which these developments are performed on a regular basis. Substantial steps are being taken to improve the vehicle ride quality. In this study, static and dynamic analysis has been carried out by finite element analysis at Ansys workbench and taken structural steel material for mono leaf spring. In composite material, carbon fiber and glass fiber have been considered as reinforcement and resin epoxy has been taken as matrix for mono leaf spring. The composite material fabrication has been accomplished layer by layer at Ansys ACP. After analysis, this study has revealed that by using composite material a magnificent amount of weight reduction has been achieved without sacrificing load-bearing capability, strength, and rigidity.
Design and Analysis of tool for fractured abutment screw removal from the dental implant body
Authors: Shedmake Swapnil , Awate Nilesh , Walke Pramod , Bhoneja Barkha 
Published: November 2022

Abstract
Implant-based restoration is currently seen to be a more reliable option with higher success rates. Biological and technological problems, on the other hand, are common. An implant insertion complication well known to many is the loosening of the abutment screw. Fractures of the implant-abutment may cause the implant to fail to function efficiently as they may leave a fragment inside the implant. This study aimed to introduce the modified design of a tool to extract the stripped abutment screw from the implant body and to analyses the deformation, stress and strain acting on the tool using the finite element method.
Enhancement in the teeth cutting operation on gear hobbing machine
Authors: Bore Gaurav , Bhaiswar Vinod , Shelke Rupesh , Verma Navin 
Published: November 2022

Abstract
Gear is mechanical component mounted on the shaft to transmit the power from one shaft to another. Gear is mostly manufactured by using the hobbing process. In hobbing process the tooth are cut on the gear blank with the help of the indexed hobs. The hobbing process the gear blank and the hob are rotated with each other simultaneously with certain speed. The rotating movement of the hob and the blank creates the cuts and forms the tooth on the gear blank. In the process of the gear hobbing the rotating speed of the hob and rotating speed of the gear blank plays an important role in teeth cutting operation and the formation of the teeth on the gear blank. The rotating speed of the hob also determines the tool life of the hob. As the hob rotates with high speed the wear occurs in the hob due to variation of the cutting force with respect to the cutting speed. This paper will conclude how the variation of the cutting speed of the hob and gear blank affects the cutting of tooth on the gear blank.
Experimental investigation and optimization of WEDM process for AISI 420 stainless steel
Authors: Jha Mukulanand , Garg Rajiv Kumar , Shrivastava Shekhar 
Published: November 2022

Abstract
AISI 420 Stainless steel is martensitic steel having sufficient corrosive resistance and outstanding hardness used for making knife blades, shear blades, hand tools, and surgical instruments for the medical industry. For the machining of this kind of high-strength material, WEDM is a popular advanced machining technique for creating items with complex forms and profiles. WEDM of AISI420 stainless steel is accomplished utilizing Zn coated copper wire as an electrode in this study. Machine input control parameters include pulse on time (Ton), pulse off time (Toff), peak current (Ip), and wire feed rate (Wf), whereas measured output response parameters include material removal rate (MRR), Kerf width (KW), and surface roughness (SR). Experiments were constructed using Taguchi L16 orthogonal arrays, and control parameters were optimized using Taguchi-based grey relational analysis (TGRA). Parametric analyses are done for multi-response optimization by obtaining grey relational grade (GRG). It has been found from the ANOVA table that Ton, Toff, Ip, and Wf are having % contributions of 85.67%, 4.38%, 8.47%, and 0.26% respectively. The optimal level of input parameters obtained by Taguchi-based GRA is Ton 125µs, Toff 40µs, Ip 220A, and Wf 8m/min. To validate the results confirmation tests are performed on optimal input parameters.
An Investigation of the Factors affecting Flexible Manufacturing Competence of Organizations
Authors: Karadbhajane Asmit , Gaidhane Jeevan , Ullah Inayat , Shukla Sourabh , Kotta Anand Babu 
Published: November 2022

Abstract
Owing to the fluctuating demands of customers and intensified competition, organizations are searching ways to enhance their flexible manufacturing competence (FMC) as it has been recognized as one of the most important approaches to handle the aforementioned situations. The existing literature provides several factors that significantly affect FMC, however, the interrelationships among these factors are somewhat unexplored. The insights to the interactions among these factors could provide crucial managerial implications that could pave ways for success of organizations in today’s uncertain business environment. To this end, the present work makes an effort and highlights the important factors and investigates their interactions with each other for the enhancement of FMC of organizations. In this paper, the interpretive structural modelling (ISM) methodology has been implemented to explore the interactions and develop a structural model depicting the hierarchy of the factors. Further, MICMAC analysis has been used to categorize the factors into different groups based on their driving and dependence powers.
Bearing fault diagnosis using signal processing and machine learning techniques: A review
Authors: Barai Viplav , Ramteke Sangharatna M. , Dhanalkotwar Vismay , Nagmote Yatharth , Shende Suyash , Deshmukh Dheeraj 
Published: November 2022

Abstract
In the majority of machines, bearings are among the most crucial components. Bearings are so important that they have been the subject of intensive research and ongoing development throughout the years. Often, bearing fails to reach its expected service life, resulting in failures that cause economic losses. Therefore, there has been a growing interest in research on bearing failure diagnosis systems due to the availability of condition monitoring techniques. Fault feature extraction techniques with the application of signal processing methods and machine learning techniques introduce an Intelligent Fault Diagnosis system that can identify and diagnose the bearing faults. Many researchers have been interested in such techniques in recent decades, which use artificial intelligence to diagnose machine health conditions. In this article, the authors have explored certain fault diagnosis methodologies based on signal processing and machine learning. From the discussed literature review, a research gap for future work has been defined.
Maintenance scheduling under multiple resource constraints using a project scheduling technique
Authors: Chaudhary Amol , Meshram Sachin 
Published: November 2022

Abstract
The work presented in this paper deals with the scheduling problem under multiple resource constraints. A heuristic method called the current float technique of resources scheduling under multiple resource constraints is applied to solve this problem. The maintainance activities of some machines of coal handling plant of a thermal power station is considered. The activities are arranged in network diagram and a schedule is developed which will give the information of current status of activities, utilization of resources and idle resources.
Implementation of AHP to evaluate variables of prognosis agent technology managing manufacturing organizations
Authors: Singh Vikram , Sharma Somesh 
Published: November 2022

Abstract
This research aims to use AHP model to evaluate variables of PAT managing manufacturing organizations. Using AHP approach, an evaluation model can be constructed, capable to measure the weight and ranking of variables. Literature helps to identify twenty six variables of PAT. These variables are arranged on the basis of expert’s opinion and construct a conceptual domain in which variable are divided as five major and twenty one sub variables. This domain is used to draw hierarchy framework of AHP model. Thereafter, pair wise comparison is performed on the expert’s responses to measure weight of PAT variables, the responses and matrices, validated by computing consistency ratio. Finally, weight and ranking of entire variables are evaluated in AHP methodology section and concluded in last section which gives interesting suggestions to the manufacturing organizations so as to manage their manufacturing system.
Application of Design for Manufacturing Technique to Lubricating Oil Pump Body for Reduction of Its Machining Time
Authors: Kulkarni P R , Pathak T S , Tuljapure S B 
Published: November 2022

Abstract
Design, manufacturing (production) & quality are linked to each other. Design has large impact on manufacturing ease & time along with the quality of product. Hence design need to be modified taking into consideration the manufacturing aspect. In this work, a lubricating oil pump body is studied from manufacturing point of view. The operations requiring more processing time were identified. An effort is made to change the design of the lubricating oil pump body to reduce the manufacturing time & efforts. Use of finite element method-based software ANSYS is done to determine the stresses during the machining with reference to the present design. The lubricating oil pump body is redesigned from manufacturing point of view keeping the end product as it is, to avoid the modifications of the other components in assembly. The machining parameters are predicted for this new design. At last, comparison of the machining parameters for existing & proposed design is done. There seems to be overall improvement in processing time.