bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiplex IHC Image Processing V0.2 v2
Authors: Sivagnanam Shamilene
Published: August 2023

Understanding immune complexity within the tumor microenvironment provides valuable insight to tumor-immune composition, spatial interactions, and the immune system's reaction to therapy allowing us to better understand response and resistance at the interface of the tumor and host. Multiplex IHC allows for the simultaneous detection of multiple Ab targets in the same tissue section using published methods previously described1,2,3.This protocol contains detailed instructions on how to prepare files and run the image processing pipeline for mIHC SVS images in a GUI or command line, making it accessible to biologist and labs without computational specialty. Tsujikawa, Takahiro, et al. "Quantitative multiplex immunohistochemistry reveals myeloid-inflamed tumor-immune complexity associated with poor prognosis."Cell reports19.1 (2017): 203-217 Banik, Grace, et al. "High-dimensional multiplexed immunohistochemical characterization of immune contexture in human cancers."Methods in enzymology635 (2020): 1-20. Liudahl SM, Betts CB, Sivagnanam S, et al. "Leukocyte Heterogeneity in Pancreatic Ductal Adenocarcinoma: Phenotypic and Spatial Features Associated with Clinical Outcome."Cancer Discov. 2021;11(8):2014-2031. doi:10.1158/2159-8290.CD-20-0841
Overcoming the Age Barrier: Improving Older Adults’ Detection of Political Disinformation With Media Literacy
Authors: Sádaba Charo , Salaverría Ramón , Bringué Xavier
Published: August 2023

This experimental study analyzes the effect of media literacy on the ability of Spanish seniors over 50 years of age to identify fake news. The experiment measures the improvement achieved by older adults in the detection of political disinformation thanks to a digital competence course offered through WhatsApp. The study comprises a total sample of 1,029 individuals, subdivided into a control group (n = 531) and an experimental group (n = 498), from which a qualified experimental subsample (n = 87) was extracted. Results reveal that participants’ political beliefs, ranging from left to right positions, influence their ability to detect misinformation. A progressive political position is associated with higher accuracy in identifying right-biased news headlines and lower accuracy for left-biased headlines. A conservative position is associated with higher accuracy when the news headline has a progressive bias, but lower accuracy when the headline is right-wing. Users are more critical when the headline has a bias against theirs, while they are more likely to believe news that confirms their own beliefs. The study adds evidence on the relevance of cognitive biases in disinformation and supports the convenience of designing specific media literacy actions aimed at older adults.
Two Applications of Computation to Problems in Chemistry
Authors:   , Dinh Tina Thanh , Wood Ezra , Sohlberg Karl
Published: August 2023

In this work, two different problems in chemistry will be explored using two different applications of computation. The first problem involves a modification to a muscle-like acid base switchable [2](2)rotaxane reported by Li et al. [J. Org. Chem. 79(15): 6996-7004] for improved force delivery. Semi-empirical electronic structure theory calculations were used to explore the mechanical behavior and switchable nature of the system. The original system does not work as envisioned, therefore a modification to the system was proposed and similar semi-empirical calculations were carried out. This modified system could potentially serve as the fundamental element of a molecular muscle. The second problem explored is the possible use of vectors of toxicity descriptors to predict antiviral activity. Since toxicity is an indicator of bioactivity, it is hypothesized that vectors of numerical toxicity descriptors may be used as a predictor of antiviral activity. This can be tested by making a distribution of toxicity vectors for known antiviral compounds and comparing them to similar vectors for other toxic, non-toxic, and benign compounds as well as a small subset of known antivirals held out of the distribution defining set. The vectors can then be ranked based on how similar they are to those of the known antivirals. This method can be used as an efficient and inexpensive way to screen for antiviral activity by eliminating low probability compounds from a list of prospects, which could decrease the cost and duration of the drug discovery phase of antiviral development.
Scrotal calcinosis- A rare condition diagnosed on FNAC
Authors: Banga Vineet , Jain Stuti , Gupta Anju , Gupta Sachi
Published: August 2023

Scrotal calcinosis is a rare condition characterised by single or multiple hard, painless nodules in the scrotal skin. It is uncommon and subtype of calcinosis cutis. It appears mainly in men aged 20‑40 years of age as hard, yellowish nodules varying in size (1 mm to several centimetres). They are usually asymptomatic; however, may be complicated with heaviness, itching or discharge. FNAC (Fine needle aspiration cytology) can prove to be a useful tool for diagnosis of this rare disorder. A diagnosis by FNAC may at times be comforting for the patient and the treating Doctor and can help avoid unnecessary surgery. Reports on this issue are sparse and thus we are reporting uncommon condition of scrotal calcinosis diagnosed on FNAC rarely used to diagnose this condition.
Stochastic models of the dynamics of the maximum and optimal profit of a manufacturing enterprise introducing technological innovations
Authors: Ilyina Elena A. , Saraev Leonid A.
Published: August 2023

The published article presents new stochastic models that describe the dynamics of profit formation in manufacturing enterprises using innovative technologies. The dependence of the enterprise's profit not only on the level of production (transformation) costs, but also on the level of non-production (transactional) costs resulting from the search and processing of economic information, financing of negotiation procedures, conclusion of contracts with partners, protection of property rights and payment for opportunistic behavior has been studied. employees and management of the company. It has been established that in order to find the optimal values of profit, it is necessary to maximize not only the profit function, but also the target transactional utility function that redistributes the profit of the enterprise, both in the interests of management and for the implementation of socially oriented programs. It is shown that the presence of transaction costs makes it unattainable for an enterprise to obtain the maximum possible value of profit, instead of which it is necessary to limit itself to its lower optimal value. For indicators of innovative transformations in the production of an enterprise that affect the increase in output and reduce costs, stochastic differential equations are established, random solutions of which describe the stochastic diffusion process of introducing technological innovations. Algorithms for the numerical solution of the stochastic differential equations of the model are constructed using the EulerMaruyama method, according to which each of their implementations is a stochastic trajectory of random functions of indicators of the dynamics of the development of manufacturing enterprises. For the mathematical expectations of the considered random functions, the corresponding differential equations are obtained. Numerical analysis of the developed model showed that taking into account the external random perturbing factor in the stochastic model leads to significant deviations from the deterministic model of the profit formation dynamics of manufacturing enterprises.
Prospects of lean production in the oil and gas industry
Authors: Korovina Anastasia A.
Published: August 2023

The paper considers the problem of lean manufacturing in the oil and gas industry. Oil-producing enterprises have no experience in using lean manufacturing, but it seems to be cost-effective. Now the introduction of resource-saving technologies at the enterprises of the oil and gas industry, including lean manufacturing, is relevant. The purpose of the article is to develop recommendations for promising directions for the development of lean manufacturing in the oil and gas industry. The current state of the oil and gas sector of the economy in the world and in the Russian Federation has been studied. The importance of the issues of the concept, philosophy and tools of lean production in the works of domestic and foreign scientists is noted. The distinctive features and goals taken into account when implementing the concept of lean production in the oil and gas industry are highlighted. Lean manufacturing tools and methods that are actively used in the oil and gas industry are presented. The article also tells about the experience of implementing lean manufacturing at a machine-building enterprise in Moscow. Orenburg JSC Drilling Equipment Plant, engaged in the development of drilling equipment and tools for the oil and gas industry. In order to develop lean production in this industry, it was proposed to use lean oil refining, which makes it possible to ensure the competition of Russian oil refineries efficiently and at low costs. Considerable attention is paid to the implementation of strategic management, which enables enterprises to adapt to changes in the external environment in a timely manner and achieve sustainable competitive advantages. The use of the latest resource-saving strategies is of practical importance, they will allow enterprises to achieve sustainable competitive advantages for long-term survival and achievement of their goals.
Design and Analysis of Artificial Heart Model by Using Finite Element Analysis
Authors: LH Manjunath , V Karthick
Published: August 2023

The human heart is a cardiac muscular organ which pumps blood through blood vessels to various tissues and organs for their function and also carries oxygen and other nutrients to tissues. The heart geometry is very complex and function of heart also plays major role in all kinds of animals for survival and carryout all kinds of functions. Investigating the biomechanical behaviour of a soft artificial heart model is a hard task as such things are very complicated in terms of both material properties and geometry. This work is focused on modelling of soft material heart model and study of static and Dynamic behaviour with easily operable, full-size. Theatrical heart model was designed using Creo Parametric 5.0 software. The developed model was further analyzed by the boundary condition such as Total Deformation, Principal stress, Maximum principle stresses and Elastic strain for five different case studies for various pressures at ventricle chamber and Expansion Chamber. The developed model can be used for further Numerical simulation and investigation of the artificial heart were implemented using Creo Parametric 5.0 and ANSYS, with different Bio-Compatible materials such as Silicon Elastomers, Teflon (PTFE), Polyethylene, Graphene, Carbon fiber. The biomechanical modelling and analysis of the soft artificial heart were implemented using the finite element modelling in ANSYS.
Analysis of Connecting Rod Made by Using Micro Si3N4 Particulates Reinforced with Al2024 Alloy
Authors: Nochitha Rachepalli , Kataraki Pramodkumar S , K Dharshan , Zubair A F , Janvekar Ayub Ahmed
Published: August 2023

In the present work, an attempt has been made to synthesize metal matrix composite using Al2024 as matrix material with Si3N4 particulates and K2TiF6 reinforcement using liquid metallurgy route in particular stir casting technique. The addition level of reinforcement is being varied from 4-8% in steps of 4 wt%. For each composite, reinforcement particles were preheated to a temperature of 500ºC and then dispersed in steps of three into the vortex of molten Al2024 alloy rather than introducing all at once, there by trying to improve wettability and distribution. Microstructural characterization was carried out for the above prepared composites by taking specimens from central portion of the casting by microstructural studies and SEM analysis. Tensile, Impact, and Fatigue properties of the prepared composite were studied before and after addition of Al2024 particulates to note the extent of improvement. Microstructural characterization of the composites has revealed fairly uniform distribution of Si3N4 particulates and some amount of grain refinement in the specimens. SEM analysis revealed the presence of Si3N4 and other phases. Further, the Tensile and Impact strength of the composite found increased with increased filler content.
Design and Analysis of Automated Scum Removal and Filtering System for Jaggary Plant
Authors: B M Praveenkumara , S K Rajesh Kumbara , M J Bhanu Prakash , Bhat Pranav G
Published: August 2023

An automated Scum Removal Machine is used to remove Scum produced during the production of Jaggery. Scum Removal is done by a manual method in our country. This project aims to develop an Automated Scum Removal Machine. The Scum removal machine can be adopted in the medium and large-sized jaggery production industry. This machine makes the process simple, easy and fast. It eases human effort and no requirement for skilled workers to operate the machine. It consists of the base, stands, leads screw, horizontal arm, thrust servo motor(0.5hp),shaft collectors, pan and multilevel filtration system.The stand and lead screw is mounted on the base and the horizontal is attached to the screw through the stand.The horizontal arm carriesa slow-speed AC servo motor and this AC servo motor runs the collector's through a vertical shaft. upward and downward movement of the arm is controlled by a lead screw which is controlled by switches.A multi-level filtration system is placed under the pan. The scum that is collected in the collector is lifted by raising the arm. Hence, the pure form of juice can be obtained from the above process. There is no availability of an Automated Scum removal machine.
Dynamic Mechanical Analysis on Jute Fiber Reinforced Polymer Composites for Patella Implant
Authors: Hampali Chennabasappa , . Basawaraj , Koti Vishwanath , N Jegadeeswaran , S Basavaraju
Published: August 2023

Natural fibres possess convincing properties when reinforced in polymers. In this study, JFRPs viscoelastic behaviour at low and elevated temperatures were explored. The present work focuses on the fabrication of jute reinforced polyester based polymer composites with different fiber compositions. Untreated long Jute fibres and mat structured Jute fibres were used for preparing the specimens. The Dynamic Mechanical Analysis (DMA) test was carried out on selected developed Polymer Matrix Composites (PMC). Density of selected PMCs are nearly equal to the bone density. So, PMC specimens were considered to carry out thermal analysis using DMA. In particular, by dynamic mechanical analysis experiments, properties such as storage modulus, loss modulus, tanδ and glass transition temperature were determined. It was found that the storage modulus (E’) recorded above the glass transition temperature (Tg) varies with increase in temperature. Along with the previous research of material properties for possible bioimplantation, this Tg value is identified for possible implementation as patella bone implant. The loss modulus (E”) and damping peaks (Tan δ) values were found to be reduced with increasing matrix loading and temperature.
Design and Analysis of Hose Clamp
Authors: S C Ramesh Kumar , Tembad Sunil Kumar S , P Vikhyath , J P Vishal , Shashavali Shaik
Published: August 2023

A hose is attached to and sealed off of a fitting such a barb or nipple using a hose clamp, hose clip, or hose lock. This study examines the relationship between experimental results and theoretical models to analyse the bending stress in hose clamps. in the experiment, stiff cylinder was encircled by flat section band clamps, and strain and related displacement were measured. To steadily increase torque till failure, the clamp nut was tightened. The theoretical torque value and the torque obtained from FEM analysis are compared and further analyzed to prepare the hose clamp.
Development of Biodegradable Pressure Sensor for Orthopedic Applications
Authors: S Avinash , HG Hanumantharaju , Harshith  , Eric Fernandes Hrithik
Published: August 2023

Many injuries & fractures are corrected by the means of surgery and regularly monitored by regular scans such as MRI, X-Ray etc. As the technology has improved over the years there are many advanced methods such as biodegradable pressure sensors which can be implanted during the surgery and used for extracting useful data. The material used to build this pressure sensor will be completely made of biodegradable materials to cause no side effects or harm to the body. The preferred fabrication method is Ink jet printer method or Screen-printing method. This biodegradable pressure sensor will be a huge boon to all humanity as it will be able to provide live data of pressure and strain acting on the injured bone which will be useful in recovery and rehabilitation. With this data the doctor can access the recovery and tailer the activities of the injured bone.
Design and Analysis of Material Handling System
Authors: M Likhith , S A Deepak
Published: August 2023

In today’s competitive global market, industries and manufacturing companies demand adjustable sizes, higher quality, flexibility, and shorter lead time types of products to be manufactured. Companies need to attain customer satisfaction and cost reduction in production operations. A material Handling System is a way to accomplish this goal since they directly impact production. This study aims to design an in-house Material Handling system that could be efficient for the production it serves. The material handling system design was made to pick and place the head expander on the vibrating machine from the floor beside the machine. The vibration testing components are placed on the head expander where it is placed on the vibration machine to check the frequencies the component can absorb. This componentis used in aerospace industries. The material used for building the Material Handling System is mild steel. By analyzing the possibilities from literature review and empirical study first problems and challenges related to material handling system are identified, then possible features that the system should possess are observed and design is built according to the selected features. The design of this Material Handling System is made by using Solid works software. The developed model is further analyzed by the boundary condition for total deformation when the constant load acts on the model at different places. Dynamic analysis to be made for the vibration absorbed by the material handling system. Here both static and dynamic analysis is made forthe structural model using ANSYS WORKBENCH software.
A Deep Study on Machine Learning Techniques for Tool Condition Monitoring in Turning of Titanium-based Superalloys.
Authors: Jakati Sanjeet , Koti Vishwanath , S. Kataraki Pramodkumar , Mazlan M. , Hamid M. F.
Published: August 2023

The current state-of-the-art review on tool condition monitoring for turning of titanium-based superalloys is presented in this paper. Titanium (Ti) superalloys are widely utilised in aerospace industry, automobile industry, petrochemical applications. Ti superalloys are also used in fabrication of biomedical components due to their outstanding combination of mechanical properties and strong corrosion resistance at extreme temperatures. But these superalloys are difficult-to-cut because to their low heat conductivity, low elastic modulus, high strength, and strong chemical resistance. Literature review highlights the drastic reduction in tool life of titanium superalloys at highspeed and feed rates throughout the machining process. The review paper focuses on (i) various reasons to deploy tool condition monitoring; and (ii) study of tool condition monitoring methods based on machine learning techniques to identify the ideal parameters for the prevention of catastrophic tool failure.
A Review on Working and Design of Convertor for Exhaust Gas Convertion.
Authors: S C Ramesh Kumar , Onikeri Shekhar
Published: August 2023

Air pollution produced from vehicles sources such as automobiles contributes major air pollution issues in rural as well as metro cities and industrialized hubs in both big and small population countries. Around 50 million cars are produced per year and over 700 million vehicles will be running worldwide.Vehicle population issue is estimated to grow close to 1300 million by the year 2035. In recent years, the demand for new and high performance of product is on the rise. Design changes in the product is subjected to efficient design. Apart from developing high performing products, different design approach is needed. Also it is essential to eliminate the over design which is finally not helpful to achieve the required results. Considering the catalytic convertor design research.
A Review on Tensile, Microhardness and Microstructural Properties of Aluminum AA2219 Alloy Joints Obtained by Friction Stir Welding Process.
Authors: Biradar Rahul , Patil Sachinkumar
Published: August 2023

A high strength of aluminium alloy is entitled AA2219. It has been majorly used in aircraft and the construction of cryogenic fuel tanks in missiles. A novel solid-state joining technique named as friction stir welding (FSW) has been proven to be capable of joining advanced materials like AA2219 alloy with better quality of joints. Various researchers are studied the joint properties of FSW and reported better corrosion resistance, natural heat protection, microstructural and mechanical properties. This review study emphasizes various joint characteristics of AA2219 alloy, such as tensile, microhardness, and microstructural characteristics of joints are obtained by FSW.
Experimental Investigation on Effect of Nano Particles on Performance and Emission Characteristics of Diesel Engine Fuelled with Waste Cooking Oil Biodiesel
Authors: Kapilan N , K Ganesh , S Balaji
Published: August 2023

The depletion of conventional fuels and increase in global warming due to burning of conventional fuels forces scientists to develop sustainable alternative fuels which are renewable and suggested biodiesel as an immediate substitute for the conventional diesel fuel. The potential of waste cooking oil is increasing in the recent years as the people are avoiding usage of waste cooking oil (WCO). In this work, biodiesel was produced from WCO and used as partial substitute for the conventional diesel and studied the impact of titanium oxide (TiO 2 ) nanoparticle on engine’s emission level and performance. The engine tests were conducted on compression ignition engine and from the experimental results, it was observed that the addition of Al 2O3 enhances the engine’s thermal efficiency and minimises the emission levels.
Design and Analysis of Wing Root Fitting of a Medium Fighter Aircraft Made of B4C Reinforced Al7075 Alloy
Authors: C M Rakesh , D Pavan
Published: August 2023

In the present work, an attempt has been made to synthesize metal matrix composite using Al7075 as matrix material with B4C particles as reinforcement using liquid metallurgy technique in particular stir casting process. Microstructural characterization was carried out for the above prepared composites by taking specimens from central portion of the casting by microstructural studies and SEM analysis. Tensile, shear, compression and bending properties of the prepared composite were studied before and after addition of Al7075 particulates to note the extent of improvement. Microstructural characterization of the composites has revealed fairly uniform distribution of B4C particulates and some amount of grain refinement in the specimens. The design and analysis of wing root fitting of on medium fighter aircraft carried out using CATIA V5 and ANSYS workbench software. Finite element method is used for the stress analysis. Calculation of equivalent stress, shear stress and total deformation will be considered under this study.
Design and Numerical Study of Serpentine Duct using Flow Controllers for Flow Characteristics Enhancement
Authors: R.P Yogesh Shankar , D Pavan
Published: August 2023

In the current work, computational study has been carrying out on the both baseline serpentine duct to know the flow behaviour and baseline with vortex generator to know the effect of vortex generators on the flow properties of the duct. A set of vortex generators are chosen for the study, by keeping all other parameters constant. Here in current work, for modelling the duct and vortex generator CATIA V5 is used; to discretizing the geometry ICEM CFD is used. For the analysis, the computational fluid dynamics tool FLUENT is used, SST k-ù model available in the FLUENT is used for the computations, and the results of current work will be validated with experimental results and shows that they are converged. Use of vortex generator in the current work proved extremely effective in enforcing the active flow control. Results obtained in this work are to study the pressure recovery at the engine face. The results ensure that the current work on the baseline model of serpentine inlet duct and model with vortex generator comparison is well established in case of pressure recovery and decrease in engine face distortion. After comparing the result of both baseline duct and duct with vortex generator we are expecting at least 25-35% of pressure recovery at the engine face. In the present study significant improvements characterized by an improved pressure recovery and decrease in distortion are observed over the baseline model of serpentine duct for vortex generator model. This reduction in pressure loss and distortion enhances the engine performance of thrust and also improves the overall performance of the engine.
Automatic Feeder for Hardness Testing Equipment
Authors: R B Vignesh , R Vinay , H Venaktesh , Shariff Yaseen , Kumar Vijee
Published: August 2023

This paper presents the development of the concept of automating the process of feeding the rocker arm bearing shafts into the hardness testing equipment. The present system used in industry for feeding is a manual feeding of the rocker arm bearing shafts (RABS) into the hardness testing equipment. A labourer feeds each and every component by hand, picking up 10-15 components at a time and then feeds it into the hardness testing equipment one by one. The eddy current principle is used here to check the hardness of the component. Hardness testing of components is done to ensure the rocker arm bearing shafts meet the hardness standard to ensure that it works for the designed purpose without any failure. The proposed system is an automated process. Suitable mechanical and electronic components are used to achieve automation and a finalized concept was generated. The proposed system consists of an automatic vibratory feeder bowl, a pneumatic double acting cylinder and proximity sensors. When the components are placed in the vibratory bowl due to the action of the feeder the components get stacked up then moves through a chute and then it will be pushed into the hardness testing equipment with the help of a double acting cylinder. The sensors are used to monitor and control the feeding process.
Experimental Fatigue Studies of Additively Manufactured Fiber Reinforced Thermoplastic
Authors: Jason M P Aldo , Mudakappanavar V S , Sreekanth N V , Santhosh  , Doreswamy
Published: August 2023

Additive manufacturing (AM) is a field of study that is gaining importance due to quick manufacturing techniques while providing viable flexibility in design modifications. In comparison with conventional manufacturing methods, AM uses easier processes to manufacture intricate components. AM products maintain consistency as it is constructed by robust universal AM machines. In the present study, a continuous carbon fiber thermoplastics (CFRTP) as a replacement to aluminum alloy (Al6061-T6) material is used for additively manufacturing bicycle crank components. The results from the tensile test and fatigue behavior of the component indicate a strong dependence of percentage concentration of the reinforcement in the CFRTP. A finite element analysis is performed to ascertain the stress distribution for a static load condition as mimicked in the real world situations. To explore the brittle fracture nature of the CFRTP specimen, a SEM image depicting the microstructural nature is provided. It is imperative to note that the comparative studies indicate the light weight CFRTP crank specimen stands out to be a viable replacement to the Al 6061-T6 material.
Design and Development of an IoT Kit To Predict Cutting Tool Life and Generate Auto Inventory
Authors: Dharani Niveditha , H L Nandeesha
Published: August 2023

For the best tool life, machining precision, and maintenance, a cutting tool life prediction is crucial. As a result, an online smart diagnosis service must be created to establish an auto inventory and anticipate the cutting tool life based on temperature data. Due to the fast-cutting velocity and high work material strength, diffusion wear becomes predominant when the cutting temperature rises significantly. Based on sensorial data gathered at the factory level, knowledge-based algorithms conduct online-based inspections on utilized tool life including tool breakage occurrence. Because heat load influences tool wear rate, a thermistor is fitted to the cutting tool to alert the database server when the temperature rises. based on the data.
Optimization of The Gating Design For AA2024 Base Alloy Casting using Numerical Method
Authors: Shukla Harshit , S N Nagesh , C Siddaraju , M N Rajesh , T Ram Prabhu
Published: August 2023

Aluminum alloys are widely used engineering materials in a various field. AA2024 alloy is one of the most used alloys in the aerospace as well as automobile industry. At the time of the casting of the alloy, casting defects like porosity, shrinkage, etc. are induced in the alloy. The casting defects can be minimized by optimizing the gating system or by changing the composition of the material. In the present study, the simulation of casting process for optimizing the gating system was done with help of numerical method. Three different gating system designs (i.e., Top Gating design, Bottom gating design and anti-gravity gating design) were simulated for the casting process and the results of the simulations were interpreted. The anti-gravity gating system design was found out to be the best design which exhibits casting with minimum defects.
Conversion and Management of Plastic Waste into useful Resources – A review
Authors: S Balaji , Kapilan Natesan , Srikanth H.V. , B A Praveena
Published: August 2023

The objective of this review paper is to focus few of the notable research that has been carried out to tackle the problems of disposal of plastic waste and its effective utilization into useful products. Due to less weight, low cost, non-corrosiveness of plastics have led to excessive usage and thus increasing its production resulting in the accumulation of waste plastic in the environment. The previous studies report several techniques to recycle and convert unwanted plastics into alternative fuels. This would be an added advantage to solve the problem of shortage of conventional fuel and thereby promote a sustainable environment. Nevertheless, further research is necessary to report some of the issues that have not yet been addressed.
To study the Aerodynamic Effects of Spoiler of a Car (Sedan – Segment) using Computational Fluid Dynamics
Authors: B P Madhu , Mahendramani G
Published: August 2023

Aerodynamic is an important aspect in consideration with regard to automotive design. Efficient diagnosis of aerodynamic forces’ effect on a car body becomes necessary when automobiles run at very high speed. In recent days, almost all automobile products coming into the market are designed considering the effect of aerodynamic forces.
The objective of this analysis is to simulate the flow of air over a car body and to estimate the effect of aerodynamic forces like drag and lift. The prediction of drag becomes necessary for vehicle running at higher speeds, may lead to higher fuel consumption, dropping the efficiency. The induced “LIFT” will disconnect wheels and road, which may lead to accidents. The current analysis we are performing, will analyze the effect of these forces on car, with and without spoiler, to understand the spoiler’s presence helping in reducing the drag and its contribution to increase the efficiency of the car. Hypermesh is used for pre-processing and ANSYS Fluent is used as a solver and post processor.
Energy Absorption Capacity of Empty and Foam- Filled Concentric Cylindrical Tubes
Authors: Suresha S. , S Raghavendra
Published: August 2023

Axial folding of metal tubes has been renowned over ages as a superb energy-absorbing method. High-volume industrial items like automobiles, trains, and other sectors where energy must be absorbed in a controlled manner during a crush situation are using components based on this concept. From the perspective of passenger automobile safety design, it is crucial and anticipated to investigate crushing energy absorption.
These are thoroughly investigated experimentally and computationally how aluminium foam-filled sections behave when compressed axially. To represent quasi-static test circumstances, nonlinear dynamic finite element studies are conducted. It is discovered that the predicted crushing force and fold formation are rather similar to the experimental facts. The mean crushing force of the foam-filled sections is calculated using straightforward closed-form methods based on the computational models. It is shown that the increase in the mean crushing force of a full column increases linearly with the cross-sectional area and foam compressive resistance. The proposal, for a variety of column designs, materials, and foam strengths, has been within 8% of the experimental data.
Ultimately, the results highlight the advantages of using concentric cylindrical tubes to absorb impact energy in circumstances with axial loads. It only understands well how control the absorbed energy by using the geometrical features of such structures. The purpose of this study is to suggest design solutions on how to use concentric cylindrical tubes in energy absorption applications like crash-worthiness.
Aplicación con software y hardware libre Arduino como eje facilitador del aprendizaje de competencias STEM
Authors: Guerrero Salazar Leonardo
Published: August 2023

En este artículo, que es resultado de una investigación, se da a conocer el diseño de una aplicación como propuesta para implementar el uso de software y hardware libre Arduino, como eje facilitador del aprendizaje de competencias en ciencias naturales, tecnología, ingeniería y matemáticas (STEM, por su siglas en inglés). Esta investigación tuvo como objetivo realizar una innovación didáctica y tecnológica en el proceso de enseñanza y aprendizaje de la asignatura de tecnología e informática, para desarrollar en los estudiantes competencias STEM necesarias para desempeñarse laboralmente en un mundo digital. La metodología de enfoque cualitativo consistió en entregar una planeación didáctica en una aplicación, basada en una pedagogía por proyectos y didáctica integradora. Se logró, de esta manera, identificar el desarrollo de habilidades de investigación, pensamiento crítico, solución de problemas, creatividad, comunicación y colaboración, todas relacionadas con el enfoque STEM. Además, la comunidad educativa donde se desarrolló la experiencia investigativa dio muestras de un gran interés por utilizar estos recursos en el aula y la posibilidad de ser aplicados en proyectos productivos de las modalidades técnica agropecuaria y gestión empresarial de la institución. La aplicación brinda la posibilidad de ser utilizada por parte de docentes del área de tecnología e informática en el grado undécimo y puede ser adaptada en otros niveles formativos.
Caracterización del diagnóstico del aprendizaje de la estadística descriptiva en un programa de educación superior
Authors: Paz Suárez Cesar Andrés , Díaz Escoba José Alfredo
Published: August 2023

El diagnóstico del aprendizaje de la estadística descriptiva (dae) en programas de educación superior es una práctica institucionalizada y reconocida por los docentes. Este estudio analizó el diagnóstico como un proceso que trasciende a una prueba de rutina o inicio, que solo describe dificultades y fortalezas en conceptos o habilidades de los estudiantes. Por tanto, el objetivo fue caracterizar el dae en el programa de Salud Ocupacional de la Institución Universitaria Antonio José Camacho (uniajc), por consiguiente, se abordó la pregunta ¿cuáles son las características del dae en un programa de educación superior en la uniajc? Algunas de las características son: concebir este programa como un recurso útil para la planificación educativa, realizar pruebas de análisis de habilidades y errores, además de reportes institucionalizados de las evaluaciones parciales. Se utilizó un estudio concurrente, bajo una metodología de investigación mixta, se realizaron entrevistas semiestructuradas y se aplicaron encuestas con preguntas cerradas y abiertas. El 75 % de los profesores indagados que impartían la asignatura en el programa tenían una concepción funcional restringida del dae. De ahí que, conocer las funciones esenciales del dae (preventivas, correctivas y potenciadoras) y el probable impacto que tendrían en la diversidad educativa, podrían contribuir considerablemente en el proceso de enseñanza aprendizaje en esta asignatura. En consecuencia, para fortalecer el dae se propusieron algunos recursos educativos, un ova, una serie de talleres y un plegable, los cuales fueron validados como pertinentes por un grupo de especialistas.
Technical Review of Radio Frequency Identification and Internet of Things Technologies in Business Operations and Automated Indoor Location
Authors: Cornea Andreea-Alina , Obretin Alexandru Marius
Published: August 2023

The technological diversity applied in practical examples entails the identification and the analysis of different implementation options, thus opening the way to a world of technology. The goal of this paper is to spot novel prospects for incorporating sensors and Big Data techniques for better property administration strategies, through an indoor localization and navigation architecture. The hereby analysis uses an approach that combines Radio Frequency Identification technology, performance efficient algorithms for calculating routes in very large datasets, methodologies for optimizing spatial representations and Internet of Things specific hardware distribution techniques to properly address challenging logistics issues and complex facilities management. The proposed solution is tailored for a large underground parking area in a commercial center, enabling easy car location identification, automatic parking time calculation and dynamically determined occupancy levels, along with descriptive statistics about busy time intervals or visiting patterns.
Using a Convolutional Neural Network for Machine Written Character Recognition
Authors: Karrach Ladislav , Pivarčiová Elena
Published: August 2023

Convolutional neural networks are special types of artificial neural networks that can solve various tasks in computer vision, such as image classification, object detection, and general recognition. The paper presents the basic building blocks of convolutional neural networks and their architecture, and compares their recognition accuracy with other character recognition techniques using the example of character recognition from vehicle registration plates. The purpose of the experiments was to determine the optimal configuration of the convolutional neural network and the influence of the size and design method of the training set on the recognition rate. The study shows that although convolutional neural networks have recently gained attention, traditional recognition methods are still relevant, and the choice of the right classifier and its configuration depends on the type of recognition task.
Real-Time Monitoring System Using IoT for Photovoltaic Parameters
Authors: Asnil Asnil , Krismadinata Krismadinata , Husnaini Irma , Hazman Hanif , Astrid Erita
Published: August 2023

The monitoring performance of the photovoltaic system in real time is required for estimation and optimization purposes. This monitoring system has been the subject of extensive research, but in general it employs costly commercial software and as well as other license-based software. This paper discusses the design of a photovoltaic parameter monitoring system that uses Internet of Things technology to monitor in real time. This software is intended to be as interactive as possible in order to display all measurement data in the form of graphical according to a user-specified time interval. The constructed system is tested to display the measurement parameters of the fixed and dual axis solar tracker. The test results indicate that the system can display data in real time. Every data shown is accessible from any location and at any time, so long as the device being used is connected to the Internet. This system obviously can be applied and developed for an internet of thing-based photovoltaic parameter monitoring system to facilitate system estimation and optimization.
A Comparative Study on Human Movement
Classification Using Wi-Fi Based Passive
Forward Scattering Radar
Authors: Farhan Nasarudin Muhammad Nazrin , Razali Hidayatusherlina , Ismail Nor Najwa , Zalina Zakaria Nor Ayu , Alnaeb Ali , Amin Megat Ali Megat Syahirul , Abdul Rashid Nur Emileen
Published: August 2023

Forward scattering radar has been widely used to classify human movements. To reduce concern of prolonged radiation exposure, Wi-Fi based passive scattering radar with bistatic topology is proposed. The movements include walking, bending, sitting, and kneeling. The enveloping algorithm applied to Wi-Fi based passive forward scattering radar signals has produced a comparable pattern to the ones from the active configuration. The features extracted from the frequency spectrum are also similar for both radar topologies. These led to comparable performance when classifying using artificial neural network. Hence, Wi-Fi can effectively reduce the cost of radar sensors.
Logistics Reengineering of Service Processes Through the Implementation of Software and Hardware of the Telephone Exchange in the Company
Authors: Behúnová Annamária , Knapčíková Lucia , Behún Marcel
Published: August 2023

In-house logistics is primarily about coordinating activities; quality planning; management, implementation, control of external and internal material flow, and synchronization of information and processes. Each process is closely related to the operator, who ensures optimal conditions for its operation. Implementing software and hardware for the telephone exchange and supporting corporate information management significantly increased customer satisfaction with the solution to their specific requirements. The impact of information technology, monitoring, data collection and processing in the company aims to make these processes more intelligent, emphasising obtaining certain strategic information important for further decision-making. A powerful and reliable communication platform is used in various industries, which is presented in the submitted manuscript. The advantage of a suitably chosen communication platform is that it offers a range of functions like traditional telephones combined with intelligent solutions for uniform communication. By applying service processes through implementing a software and hardware telephone exchange in the company, we focus on adapting solutions for each customer according to requirements. In the future, the research will focus on the digitization of the company and the use of smart technologies in the prediction of service processes in the company.
Liquid Characterization of 2 GHz Complimentary Split Ring Resonator (CSRR) for Water Quality Applications
Authors: Sapuri Muhammad Faris , Adzhar Mahmood Mohd Khairil , Abd Rashid Nur Emileen , Zakaria Nor Ayu , Ab Rahim Siti Amalina Enche , Khan Zuhani Ismail
Published: August 2023

This study describes a complementary split-ring resonator (CSRR)-based planar microwave sensor. Its capability in detecting several samples which are based on the usual water contaminant in Malaysia was investigated. The CSRR sensor was designed with an unloaded resonant frequency of 2.0 GHz, and it was fabricated on an FR-4 substrate with a thickness of 1.6 mm and a dielectric constant of 4.3. The S-parameter responses of the sensor were measured under two conditions; i) unloaded and ii) loaded. For the latter, samples of tap water, salt water, isopropyl alcohol, filtered water and cooking oil were used to load the resonant element of the CSRR. The measurement result of unloaded CSRR shows that the designed sensor resonates at 1.99 GHz, which is in line with the simulation. The measurement results also showed that the presence of all samples caused the resonant frequency of the CSRR to shift, with filtered water and cooking oil showing the biggest frequency shifts (0.84 GHz and 0.96 GHz, respectively). A sensitivity analysis of the CSRR was carried out and it shows that it achieves 0.25% sensitivity. The proposed sensor may be a useful substitute for pricey commercial sensors for applications involving water quality because of the inexpensive materials and ease of fabrication.
Acoustic Vehicle Classification Using Mel-Frequency Features with Long Short-Term Memory Neural Networks
Authors: Yassin Ahmad Ihsan , Mohd Shariff Khairul Khaizi , Kechik Mustapha Awang , Ali Adli Md , Megat Amin Megat Syahirul
Published: August 2023

Monitoring vehicle traffic at a large scale is a challenging task for authorities, particularly considering the high cost of traffic sensors such as vision cameras. To meet the growing demand for more accurate traffic monitoring, the use of traffic sounds has become a popular approach, as it provides insight into the types of traffic present. This paper reports on an approach to vehicle classification based on acoustic signals, using the Mel-Frequency Cepstral Coefficients (MFCC) and the Long Short-Term Memory (LSTM) networks. This study exhibited classification accuracy scores of 82-86.2% across four vehicle categories: motorcycle, car, truck, and no traffic. The results demonstrated that large-scale, low-cost acoustic processing can be effectively used for vehicle monitoring.
Testıng The January Effect Usıng The GARCH (p,q) Model In MIST Countrıes
Authors: ASLAN Mesut
Published: August 2023

In this study, using the monthly closing data of the stock exchanges of MIST countries between 2005 and 2021, the effect of January on the returns of these stock markets was examined using the GARCH model. As a result of the analysis, it was determined that the positive returns on a monthly basis were high across the countries. However, the stock market of the country with the most negative returns was determined to be BIST. When the variance distribution analysis results are examined, it is seen that the differentiation of returns is greater in BIST compared to other countries. The country with the highest entry was observed in the BIST stock market as the November return. As a result of the analysis, it has been determined that there is no January effect in MIST countries. Although a long-term relationship between countries has been determined within the framework of the GARCH model, this situation is not considered as a situation that eliminates the efficient market hypothesis.