bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Behavioural Biometrics on Mobile Banking System
Authors: Banga Lavanya , Pillai Samaya
Published: July 2021

The rise of online mobile banking systems has given customers a convenient and better way to interact with the bank as and when they want. Smartphones have revolutionized the world of payment. People now use mobile phones more often to make payments. But with increasing frauds and cybercrimes, customer experience and security become the major concern for any bank. In such situations, biometrics, especially behavioural biometrics, can be used. In this paper, we are going to discuss how behavioural biometrics can be widely adopted to reduce fraud. To increase the adoption of mobile payment acceptance, solutions need to be prioritized and reduce unnecessary obstacles. Customers demand mobile payments that are easy and quick. This is also used for fraud detection and prevention due to increased amounts of identity fraud attempts. Currently used methods for authentication such as passwords and email verification are quite problematic for security and user experience. This gives rise to behavioral biometrics. It is very important nowadays to authenticate the user throughout the session, and this is exactly what behavioral biometric do. Behavioral biometrics achieves this by invisibly running in the background and not interfering with the user experience. Fraud is significantly reduced by removing the setup authentication and risk-based authentication completely.
Perception Study on IOT Based Waste Management System
Authors: Kumar Atul , Dasgupta Hirak
Published: July 2021

The concern over proper waste management has been there for decades, but the increasing population and immense urbanization have made the masses accept it as a serious issue. The unhygienic surrounding originating due to over spillage of dustbins is degrading the environment, which gives birth to numerous health issues. With the conceptualization of the internet of things (IoT) over the last decade and enhancement in internet infrastructure, these have become an integral part of the human lifestyle. The upcoming 5G technology will revolution the way of communication between static and mobile IoT devices. This will enhance community access to IoT devices. Thus, this has led to the concept of a “Smart Waste Management System,” an embedded system consisting of modern sensors, microcontrollers, memory, communication devices, etc. enabling real-time Monitoring for smart bins leading to reduce garbage collection cost and fuel consumption. This paper discusses a variety of IoT device’s implementation and societal perception on challenges and opportunities concerning India. Descriptive research was carried out upon data collected, and statistical analysis was done to study the differences concerning demographic, psychographic, behavioral, and geographic segmentation. The research will also provide insight to companies as well as to the waste management authorities into the commercialization of the “Smart Waste Management System”.
Internet of Things (IoT) on E-commerce Logistics: A Review
Authors: Sharma Vikas , Gandhi Madhup Kantilal
Published: July 2021

A revolutionary technology Internet of Things in the global infrastructure of e-commerce business that provides extreme transparency to supply chain management and other related departments. In RFID technology, network transmission interconnection, signal processing, and computing information are common, and the continuous link is achieved between products or customers and products. The actual-time data achieved through RFID further helps in monitoring activities of products from production to warehouse to end customer, and thus efficiency in managing the system and methodical management is possible. In this review, the trends of expansion of IoT in e-commerce through different phases or stages have been studied, starting from when e-commerce meant telesales. Also, this study talks of various advantages this IoT technology has brought to the e-commerce industry, then talking of challenges in e-commerce enterprises which includes both technical and personal perspectives. This study also considers the working of IoT in production and warehousing logistics which are crucial for any type of supply chain work.
Inception Architecture for Brain Image Classification
Authors: Tamilarasi R , Gopinathan S
Published: July 2021

A non-invasive diagnostic support system for brain cancer diagnosis is presented in this study. Recently, very deeper convolution neural networks are designed for computerized tasks such as image classification, natural language processing. One of the standard architecture designs is the Visual Geometric Group (VGG) models. It uses a large number of small convolution filters (3x3) connected serially. Before applying max pooling, convolution filters are stacked up to four layers to extract features’ abstraction. The main drawback of going deeper is over fitting, and also updating gradient weights is very hard. These limitations are overcome using the inception module, which is wider rather than deeper. Also, it has parallel convolution layers with 3x3, 5x5, and 1x1 filters that reduce the computational complexity due to stacking, and the outputs are concatenated. This study’s experimental results show the usefulness of inception architecture for aiding brain image classification on Repository of Molecular Brain Neoplasia DaTa (REMBRANDT) Magnetic Resonance Imaging (MRI) images with an average accuracy of 95.1%, sensitivity of 96.2%, and specificity of 94%.
The potency of curcumin and the thyroxine hormone to support the antioxidant activity during reproduction in common carp (Cyprinus carpio L)
Authors: Rawung L D , Rayer D J J , Manampiring N
Published: July 2021

In the reproductive period, the female fish experiences an increase in metabolism due to the variety of reproductive activities, including the synthesis of vitellogenin. High metabolic activity with insufficient availability of endogenous antioxidants can increase free radical production. The measurement of free radical levels can be determined by calculating the concentration of malondialdehyde. This study was conducted to know the potency of curcumin and thyroxine hormone supplementation to support the antioxidant activity during the reproduction period. Our study used female broodstock of common carp as the experimental animal. In this study, we used forty female broodstock divided into 8 groups of treatment. The results showed that supplementation of curcumin and thyroxine hormone during the reproduction period has the potency to support the antioxidant activity.
Effectiveness of the application of the Group Investigation (GI) learning model method of people tutors using e-learning via online and offline in increasing learning outcome of IPA for class VIIIA students at public middle school 2 Tutuyan East Bolaang Mongondow district
Authors: Maatita A , Arrijani A , Yalindua A
Published: July 2021

The study model of the group’s investigation (GI) of peer tutoring methods using e-learning online and offline is an effective learning model to be used during the pandemic of the covid-19 (corona virus diseases-19). Research aims to see the effectiveness of the use of the GI model peer method using e-learning online and offline to improve learning. The method used was one group precursor posttest design experiment. The sample in this study is a VIIIA class with a total of 35 apprenicians. Data obtained from pretests and posttests based on statistical analyzes then followed by testing of test-t hypothesis using a separated variant = 89.55 and price with a=0.05 and degress of freedom = (35+35-2) =68 is 1.30. Since > (89.55 > 1.30) it can be concluded that was rejected, this means that there is an average level difference in the ability of science studies between students who study using the educational method of group investigation e-learning online and offline tutors with students who learn to use conventional learning at country’s second middle school.
Development of audio-visual learning media integrating character education in chemistry learning to facilitate conceptual change and character strengthening of high school students
Authors: Pikoli M , Lukum A
Published: July 2021

Audiovisual media is a set of tools that can project moving images and sound. This study aims to produce audio-visual learning media that integrates character education in chemistry learning to facilitate conceptual change and strengthen student character. This research is development research which includes three stages, namely preliminary studies, development, and validation, as well as testing and implementation to produce valid, practical, and effective audio-visual learning media. The validation was carried out by three experts through Focus Group Discussion. The audio-visual media and learning tools developed were tested on state senior high school students 1 Kabila Gorontalo. The research data technique used observation and three-level diagnostic tests. The data analysis used a qualitative descriptive technique. The results obtained are audio-visual learning media developed with validity with very valid categories, practicality with very high categories, and effective in shifting students’ conceptions from misconceptions and not seeing concepts to understanding concepts with high N-Gain. category, which is 0.83. This study concludes that the audiovisual learning media and learning tools developed are of good quality.
FTIR, SEM and XRD analysis of activated carbon from sago wastes using acid modification
Authors: Kunusa W R , Iyabu H , Abdullah R
Published: July 2021

Activated charcoal bio adsorbent is a method that can be developed because the raw material is easy to obtain and does not require large costs such as processing sago. The stages of making activated carbon include the stages of dehydration, carbonization, and extraction of silica using 4% NaOH solution (1:10). The activation stage successively used 250 mL of 1M NaCl, 1M MgCl2, 1M CaCO3, 1M K2Cr2O7 and the addition of 100 mL of 1M HNO3, 3% H2O2, 1M H3PO4 and 4NH2SO4 respectively. The activation process uses a water bath at 700°C for 3 hours. In the conventional carbonization stage in a vacuum used drum for 1x24 hours. Physicochemical analysis of activated carbon products, namely moisture content, ash content, pH, Activated Carbon Adsorption Test against Iod Test and methylene blue. FT-IR analysis showed a wide band of 3442.94 cm‒1 to 3415.93 cm‒1 which showed the free O-H strain vibrations of the OH group in the cellulose molecule. 1178.51 cm‒1, –1039.53 cm‒1, -1024.20 cm‒1, C-C and C-O-C glycosidic ether band. SEM data describes the differences in the surface morphological structure of each sample and is supported by XRD data.
Nature-based learning management; How is it planned?
Authors: Silangen P M , Oentoe F J A , Naharia O , Sumual H
Published: July 2021

This study aims to describe management in the planning activities section, nature-based learning in the Linow Lake for students of the Physics Department, Faculty of Mathematics and Natural Sciences, Manado State University. This research used qualitative methods. The results obtained in management for nature-based learning planning activities that describe the results of the analysis of the analysis of Curriculum, student needs, observation of natural objects (the Linow Lake), formulating objectives for field activities, designing field activities according to activities at level 1 to activity level 4, compiling formats observation and assessment rubrics. The results of these planning activities are then ready to be implemented in the next management stage that follows management functions (Planning, Organizing, Implementing and Evaluating).
Development model learning device problem solving material arithmetic sequence learners SMA State Kakas
Authors: Kindangen V , Sulangi V , Damai I W
Published: July 2021

This study aims to produce mathematics learning instruments on the Arithmetic Sequence lesson using problem-solving learning with a realistic mathematics approach to the 11th graders at SMA Negeri 1 Kakas that meets the criteria of validity, practicality, and effectiveness. The method of this study applies a modified 4-D model of research and development to design a lesson plan, student worksheet, and learning outcome test. Results find out that at the design phase, the lesson plan, student worksheets, and evaluation of learning outcomes were modified and revised. The results of field trials show that some aspects of learning are effective, and revisions are carried out by revising learning tools to produce final tools, the evaluation of learning outcomes seen from the index of validity and reliability is feasible without any significant revisions. The developed learning instrument by using problem-solving learning with a realistic mathematics approach was effective in teaching the Arithmetic Sequence lesson.
Development of mathematics literacy problems based Bentenan’s textile for Junior High School Students
Authors: Kaunang D F , Sulangi V R , Sumarauw S J A , Pitoy C , Agouw A N
Published: July 2021

This study aims to produce mathematics literacy problems based on the values of local wisdom in North Sulawesi Province, namely bentenan’s textile that are valid and practical. The research method used is development research which consists of the stage of Analysis (needs analysis, curriculum, student’s character), Design, Development, Implementation, Evaluation. The subjects of this study were VIII grade students of SMP Negeri 4 Tondano. The results of the study were valid and practical mathematics literacy problems based on bentenan’s textile. The validity is known from the results of the validator’s assessment on the validation sheet which states that the questions developed are good based on the assessment of content, construct and language and practicality is known from the results of individual and small group trial results which show that all students can use mathematics literacy problems based bentenan’s textile well.
Analysis of daily dynamics of thermal interaction of temperature and ocean flow in seaweed growth areas
Authors: Tulandi D A , Tumangkeng J V
Published: July 2021

Seaweed (Caulerpa sp) is a marine biota whose growth is influenced by physical parameters. The purpose of this study was to analyze the dynamics of daily temporal changes in seawater temperature at several depth points and variations in the velocity and direction of ocean currents. Make simple mathematical modeling of ocean current velocity and daily dynamics of seawater temperature in the seaweed growth zone and outside the seaweed growth area. Temperature measurements are carried out on 4 depth variations using a current meter when the sun illuminates the ocean. Measurement of the velocity and direction of the current is carried out using a current measuring instrument during the full moon. The Fourier function or periodic function determines mathematical modeling. The results showed that the transect measurement of sea temperature for 4 depth variations experienced changes due to the intensity of solar irradiation. During one cycle, the speed and direction of the ocean currents change periodically, with the average flow velocity in the seaweed zone being 7.4 m/min and outside the Lahe region being 18.75 m/min directly to the southwest at seawater flows at high tide and northeast experiencing low tide. The daily temporal change in ocean current velocity for each measurement transect shows the same shape which is modeled according to the Fourier function.
Teaching convex Lens materials with a PIMCA model
Authors: Koming R , Poluakan C , Silangen P M , Mondolang A H , Rende J
Published: July 2021

This research is based on learning physics on convex lens material with the PIMCA model based on MR-SR (multiple representation - semiotic source). PIMCA (Presentation, Idea Mapping, Conceptualization, Formative Assessment) is a new learning model based on MR-SR which was introduced and developed by Cosmas Poluakan. This study aims to see the increase in the average learning outcomes of physics education students in the odd semester. The method used in this research is quantitative comparative design with one group pretest-posttest design. The research was conducted in the physics education department of Manado State University with 24 students as respondents. The instrument used has been tested and validated. The research procedure starts from the initial study on students and then the pretest then performs 4 stages of the PIMCA model (presentation, idea mapping, conceptualization, formative assessment) then posttest. From the results of data processing & analysis, it was found that the average pretest score was 23 and the average posttest score was 79 with a standard ideal value of 75, then the gain-test value was 1.0769 where the data showed a high increase in learning outcomes after the implementation of PIMCA. And it can be concluded that the PIMCA learning model is very good at improving understanding of the concept of the convex lens.
Blue luminescence of indium-doped ZnO thin films prepared by DC magnetron sputtering
Authors: Sugianto S , Nurilhilmah N , Darsono T , Sugiyanto S , Aryanto D , Isnaeni I
Published: July 2021

ZnO is an intrinsic semiconductor suitable for many optical applications. In this current study homemade DC magnetron sputtering was used to grow undoped ZnO and indium-doped ZnO (or IZO) thin films. The indium content was varied from a mole fraction ratio of In2O3 were 0 at% to 6 at%. The structure of IZO films analyzed by X-ray diffraction (XRD), and the optical properties were carried out using UV-visible and photoluminescence (PL) spectroscopies. The XRD results demonstrated that IZO maintained a hexagonal wurtzite structure with a (002) preferential orientation. The optical band gap increased with an increase in indium doped concentration. The PL spectrum exhibits a broadband blue emission from IZO films centered at 440 nm (2,82 eV), originating from the radiative recombination at the defect level. Interestingly, the intensity of blue emission increased with an increase in indium-doped concentration.
Kinematic Modelling and Motion Mapping of Robotic Arms
Authors: Saraf Mangesh , Agarwal A , Chaudhary A , Ganthale A
Published: July 2021

Robotic systems are known for their precision and accuracy. To achieve a desired set of operating parameters the system must have a good control system. Robotic arms can vary in size shape and purpose of use. With increasing DOF (Degree of Freedom) the complexity of the system increases and hence a DAQ system is required to check various parameters of the process. This paper discusses the implementation of kinematic and inverse kinematic modelling of a 6 Degree of Freedom (DOF) hydraulic arm in MATLAB environment. The forward kinematic model is based on Denavit-Hartenberg parameters. To obtain a given set of position and orientation of end effector, inverse kinematics gives the required set of joint angles. Potentiometers mounted on arm joint are used as the prime feedback elements for extracting the joint angles. All six joints of the arm are revolute joints. The values of potentiometer obtained are compared to the desired input values. Proportional direction control valve is the main controlling element of the hydraulic circuit. The forward and inverse kinematics is validated and implemented in MATLAB robotics toolbox (developed by Peter Croke). A GUI is also used to ease the process of retrieving and feeding the information in the system. The results of forward and inverse kinematics from MATLAB are verified by the physical model discussed in this paper.
Augmentation of Mapping and Autonomous Navigation for Hexapod Robots by using a Visual Inertial System
Authors: Yelve Nitesh P , Menezes Jovan C , Das Shubhankar B , Panchal Bhavik M
Published: July 2021

In our previous work, we focused on the development of Razbot, a hexapod platform, and achieving its autonomy using the Robot Operating System (ROS). Therein, we also explained the difficulties faced with Razbot while trying to execute complex operations autonomously. Hence, in this work we address the problem and make an attempt at improving the odometry measurements of Razbot by introducing a Visual Inertial System (VIS) that includes a pair of synchronized monocular camera and inertial measurement unit which makes it capable of mapping the environment and autonomously navigating in it with increased effectiveness. To introduce the VIS, we made minor modifications in the components used and the control scheme of Razbot. In this work, we take help of the Extended Kalman Filter (EKF) for the fusion of odometry sources. Further, we also analyse the accuracy of the fused odometry by comparing the same and evaluating the errors or drifts in odometry before and after introducing the VIS in Razbot. Based on these results, we make a conclusion that the odometry source from VIS can significantly lower errors and drifts in fused odometry data, thus improving autonomous navigation and mapping of the hexapod robot. The implementation of this system will allow Razbot to be used in even more varied applications than those specified earlier.
Mechatronics Design and Kinematic Analysis of SMA Spring Actuated Parallel Manipulator
Authors: Ranjith Pillai R , Ganesan Murali
Published: July 2021

Flexible parallel manipulators can be used as an orienting device because of their precise positioning ability and better stiffness. The flexibility to the manipulator induces challenges in the selection of actuator, sensors and control. The paper presents a novel mechatronics design of a flexible symmetric parallel manipulator with minimum number of actuators used as an orienting device. Shape memory alloy springs (SMA) are used as an actuator because of ease of integration and higher deflection. In order to avoid any contact type sensor which could affect the compliance of the manipulator, the position of SMA spring is calculated indirectly from the kinematic model with the end effector orientation data measured from IMU sensor. The complete experimental set up design including electrical and control circuitry is explained in detail in the work. Preliminary open loop test is conducted on the prototype to understand the SMA response to various current input and to verify the effectiveness of the kinematic model in the actuator length measurement. Closed loop control based on ON/OFF control is implemented in the controller and is tested for step input.
Dynamic Characterisation of Honeycomb CNT Reinforced Sandwich Composite Structure
Authors: Balaji S , Nanavate Abhishek K , Jakkamputi Lakshmi Pathi , Raghukiran N , Jegadeeshwaran R
Published: July 2021

The dynamic characterization of honeycomb sandwich structure with CNT reinforced hybrid composite face sheet is performed using Finite element simulation. The element simulations. The Potential and Kinetic energies of the honeycomb sandwich beam were derived using classical laminate beam theory and Mindlin theory. The governing equations of motion for the sandwich composite beam is made up of Nomex material with a hybrid composite face sheet reinforced with CNT are obtained by applying the Hamilton rule in the finite element model. The functionality of current finite element modeling has been investigated to proving the dynamic properties acquired from the improved finite element model with the solution obtainable in the previous literature. A further various parametric study is performed to understand the effect of CNT content, thickness ratio, and boundary constraints on the honeycomb sandwich composition of dynamic properties with reinforced CNT of the hybrid composite face sheet is performed using finite element simulation. The CNT content in the honeycomb sandwich beam containing a remarkable effect on the natural frequency.
Improving the Mechanical properties of 6061 and 5083 welded joint using Friction stir lap welding
Authors: Shaik Chand Basha , Pawale Deepak M , Suryanarayanan R , Sridhar V G
Published: July 2021

Joining of metal is very important operation in every manufacturing activity. Conventional welding of Al alloys by Tungsten inert gas welding, Metal inert gas welding and Resistance spot welding was reported to produce poor quality weld joints, as the inherent characteristics of the base metal affected the weld properties. Friction stir welding, identified as one of the best alternative is employed to join Al 5083 and Al 6061 in this study. Aluminum alloys, Al 5083 and Al 6061 are welded in lap joint configuration, with SiC nano particles interlayer. The process parameters such as welding speed tool, rotational speed and volume percentage of Nano-powder were optimized by utilizing Response surface methodology, RSM. The joints welded without the SiC nano particle interlayer were observed to possess low mechanical strength at the best welding conditions determined by the RSM.
Generative Design Optimization and Analysis of Connecting Rod for Weight Reduction and Performance Enhancement
Authors: Nishanth R , Sreedharan M , Rajesh Pranav , Allam Dhanush Babu , Radha R
Published: July 2021

This research paper aims to explore opportunities for weight and cost reduction in the design and development of connecting rods. Two phases are involved in the analysis. The first part i s t o analyze the loads (compressive and tensile loads) acting on the connecting rod as a function of time to optimize its weight and manufacturing cost using generative design. The generative design is an iterative design process that produces a certain number of outputs based on the power, stress and other constraints applied. The primary considerations are weight, material, and cost for the connecting rod design, we generate which in turn, provides sufficient strength, stiffness, and fatigue resistance. The second part involves the analysis of finite elements that was performed at several crank angles and examined whether the generated designs withstand loads ranging from the tensile load, corresponding to 3600 crank angle as one extreme load at the maximum engine speed and compressive load corresponding to the peak gas pressure as the other extreme load. Thus, a wide variety of materials are analyzed to obtain the cost-effective and optimum design of the connecting rod that can be manufactured by additive manufacturing.
A Review on Smart Waste Collection and Disposal System
Authors: Keerthana S , Kiruthika B , Lokeshvaran R , Midhunchakkaravarthi B , Dhivyasri G
Published: July 2021

The main cause for land pollution is overflow of garbage. It makes insanitary condition for the encompassing individuals and cause ailment. This paper focuses on the review of various existing techniques available for garbage monitoring. In this article, survey about the waste monitoring methods, garbage disposal techniques and technologies utilized for developing a system to deal with waste management are presented. Finally, an efficient system is proposed along with waste disposal method that can be used in future for achieving better performance and cost effectiveness.
Analyzing the applications of internet of things in hotel industry
Authors: Sharma Urvashi , Gupta Deepali
Published: July 2021

Tourism is one of the fastest growing business domains. Self-assisted services and Internet of things-based devices have become the current age cash. Internet of Things is a network for devices to connect and communicate information using physical devices embedded with sensor, software, cloud computing and other technologies. Therefore, self-assistance options enhance customer experience when it comes to hotel accommodation. The Internet of Things plays major role in improving the stay experience by providing customized services to customers. Self-services like pre-booking, registration and user preferred payment mode, automated check in & check out are also few aspects that are contributing for improved guest experience. In this paper, role of Internet of Things in hotel industry is taken into consideration for improving the guest experience and providing the customized services and the application of IoT in hotel industry has been analyzed.
Data Driven Cutting Tool Fault Diagnosis System Using Machine Learning Approach: A Review
Authors: Tambake Nagesh R , Deshmukh Bhagyesh B , Patange Abhishek D
Published: July 2021

Every industry is now turning towards industry 4.0. In this era, industry requires smart machine tools. But for small scale and medium scale industries, it is not affordable to buy new smart machineries. Therefore, the fault diagnosis system (FDS) has got unavoidable propensity in the machine of modern huge information and smart manufacturing. Simultaneously, it offers a solid answer for taking care of the mechanical machines & its cutting tools health status. Industry 4.0 and its key advances assume a fundamental part to make mechanical systems independent and along these lines make conceivable the automated data assortment from modern machines/cutting tools. In view of the gathered information, ML algorithms can be applied for automated shortcoming identification and finding. It is difficult to choose relevant machine learning (ML) procedures, kind of data, data size, and hardware to apply ML in mechanical systems. Determination of wrong FDS procedure, dataset, and data size may cause increase in downtime and infeasible for scheduled maintenance. Accordingly, this study aims to present, the brief review of literatures for investigation to find existing methodologies of ML and its applications, Supportability to develop novel system to diagnose faults in CNC hobbing cutter and to choose suitable ML methods for their required FDS.
Application of Meta family Classifiers for monitoring hydraulic brake system using vibration based statistical learning approach
Authors: Wagh Mohit Nikhil , Alamelu Manghai T M , Jegadeeshwaran R , Saravanakumar D , Raghukiran N
Published: July 2021

In the modern days, use of vehicles is increasing rapidly. It is very essential that the vehicle must have a good control mechanism which ensures the safety of the vehicle. The brake system in automobile is one of the important control element which needs to be monitored. The unconditional brake leads to catastrophic failures. Hence, the brake system should be monitored regularly. An experimental study is proposed for the brake system monitoring using vibration signals. The vibration signals are captured under all possible brake conditions. The hidden information in the vibration are extracted as statistical features. We carry out the feature selection. Classification using the selected features is the final step in machine learning (ML). Meta family classifiers are used for the study. Among the considered classifiers, Bagging algorithm produced 80.8 % accuracy for monitoring the brake condition.
Touch-free operated Face shield-cum-mask for multifaceted applications – Vaktram Kavacham
Authors: Sanjana T , Anantha Sunil M , Shekhar G K
Published: July 2021

There are various situations where face shields and mask play an important role such as for doctors in operation theatres, healthcare workers diagnosing/treating patients with infectious disease, traffic police and construction workers working in environments with high levels of dust and air pollution, welders working at high temperatures, bike, bicycle riders and many others. A face shield-cum-mask can be useful to protect from infectious bacteria, virus, parasites, debris, hazardous chemicals, sparks etc. Knowing the potential need and importance of face shield and mask, its usability can be further enhanced by operating them based on sensors. We have built a prototype of 3D printed visor attached with face shield-cum-mask integrated with proximity sensors, battery and circuitry which is used to move the visor above or in front of the face as and when required by movement of hand close to the sensor.
Design of a Fuzzy Based Pid Algorithm for Temperature Control of An Incubator
Authors: Mizanur Rahman Md. , Saiful Islam Md.
Published: July 2021

The incubator is an apparatus that is used to regulate environmental conditions such as temperature, humidity control in an enclosure. To maintain the temperature of the incubator is difficult and challenging. This research paper proposes the design of an incubator temperature control by using fuzzy based PID. The proposed model construct of two fuzzy logic based PID controllers to control the temperature. This paper principally focuses on the designing of new fuzzy self-tuning PID algorithm. The error and changing error rate are inputs of the fuzzy based PID controller. The PID parameters are outputs of the fuzzy based PID controller. A set of fuzzy rules is used to regulate the PID parameters. The simulation result shows that the rising time, settling time & overshoot had reduced compared to PID control.
Compounding hazards and intersecting vulnerabilities: experiences and responses to extreme heat during COVID-19
Authors: Wilhelmi O V , Howe P D , Hayden M H , O’Lenick C R
Published: July 2021

Extreme heat is a major threat to human health worldwide. The COVID-19 pandemic, with its complexity and global reach, created unprecedented challenges for public health and highlighted societal vulnerability to hazardous hot weather. In this study, we used data from a three-wave nationally representative survey of 3036 American adults to examine how the COVID-19 pandemic affected extreme heat vulnerability during the summer of 2020. We used mixed effects models to examine the roles of socio-demographic characteristics and pandemic-related factors in the distribution of negative heat effects and experiences across the United States. The survey findings show that over a quarter of the US population experienced heat-related symptoms during the summer of 2020. Mixed effects models demonstrate that among all socio-economic groups, those who were most vulnerable were women, those in low-income households, unemployed or on furlough, and people who identify as Hispanic or Latino or as other non-white census categories (including Asian, American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, and multi-racial US residents). The study findings indicate that millions of people in the US had difficulty coping with or responding to extreme heat because of the direct and indirect effects of the COVID-19 pandemic. Limited access to cooling as well as COVID-19 related social isolation played a major role in adverse heat health effects. Geographically, the South and the West of the US stood out in terms of self-reported negative heat effects. Overall, the study suggests that the intersection of two health hazards—extreme heat and coronavirus SARS-CoV2—amplified existing systemic vulnerabilities and expanded the demographic range of people vulnerable to heat stress.
A study on magnetic and spin polarized electric transport properties of cation doped LaCaMnO3perovskite ceramic system
Authors: Rajan Sam , Isac Jayakumari
Published: July 2021

Thepoly-crystallineLa0.5Nd0.15Ca0.35MnO3 has been synthesized by a conventional solid reaction method through the cation doping in LaCaMnO3. The analysis of the powder XRD of the composites revealed the formation of an orthorhombic structure in Pbnm space group. The cell parameters of the formed system has obtained and confirmed through Reitveld analysis and it is found to be a=5.4505,b=5.4457,c=7.6876.The lattice parameters and the spin ordering temperature TC of this system are decreasing due to Nd substitution. The ac and dc magnetization studies and resistivity measurements in ZFC and FC mode gives good understanding to the magnetic and electric transport properties of the doped system. The magnetization studies show a paramagnetic to ferromagnetic transition at a temperature below the critical temperature TC.The resistivity measurements reveals semiconducting to metallic transition below the temperature TMS. The temperature dependent transport nature shown in this system is one type of the correlated polaron hopping mechanism and it can be modeled by an adiabatic small polaron hopping(SPH) mechanism.
Effect of polycarboxylate ether-based superplasticizer dosage on fresh and hardened properties of cement concrete
Authors: Paktiawal Ajmal , Alam Mehtab
Published: July 2021

Ready-mix concrete nowadays is available almost everywhere in the country. RMC plants are indispensably using high-range water-reducing admixtures namely, sulfonate naphthalene formaldehyde condensate, and Polyether polycarboxylate, for making standard cement concrete. These admixtures are used to economize the cost of concrete by reducing the quantity of water. Commonly used high range water reducer admixture, the polycarboxylate ether-based (PCE) superplasticizer has been used to investigate its influence on workability and strength of concrete by measuring slump and ultrasonic pulse velocity as well as crushing strength. The cement of grade 43 has been used in this work. This superplasticizer was added to the mix to make concrete of grade M60 by weight of cement with 0.15%, 0.25%, 0.35%, 0.45%, and 0.55% without altering the w/c ratio. Experimental results reveal that the restricted dosage of the superplasticizer provided in Plain and reinforced concrete code of practice in Indian standard, IS456:2000, restricts to 1% is on the higher side. The slump, ultrasonic pulse velocity, and crushing strength of M60 grade standard concrete with water to binder ratio of 0.40 gives the optimum dose 0.45% by weight of cement, which is quite less than the restricted quantity of dosage.
Push system for Aluminium tube by using a stepper motor with the Arduino
Authors: Joshi P P , Jorapur V S
Published: July 2021

The research content of this paper is to design a push system for an Aluminium tube to be cut on the cutting machine. The system consists of one driving pulley, one idler pulley, and a timing belt. The stepper motor will drive the pulley and the stopper attached to a timing belt will push the Aluminium tube further. This paper describes the process of developing a push system using a stepper motor driver, membrane keypad, Nokia LCD, and a microcontroller board. Different types of stepping mode and the formula for the number of pulses to be sent to a stepper motor are derived and tested. The result of the paper shows that a stepper motor along with the electronic components improves accuracy for a push application and can be used.
Generation of Microtextured Characteristics using Maskless Electrochemical Micromachining
Authors: Kunar S. , Kibria G. , Shivakoti I.
Published: July 2021

To minimize and control friction and wear, the manufacture of microtextured characteristics on circular micropatterns is an innovative approach to extend the life of mechanical systems and components and enhance their reliability and performance. The form, size, and surface quality of circular micropatterns developed on stainless steel surfaces using maskless electrochemical micromachining directly affect the service life and function of textured surface. This article presents the experimental study on the generation by electrochemical micromachining of circular micropatterns on stainless steel. The effect of process variables such as inter-electrode gap (IEG), flow velocity and machining time on current density, current efficiency, material removal rate (MRR), surface roughness, and diametric taper angle are examined during the generation of circular micropatterns. The best parameters obtained from the experimental results are 100μm IEG, 4.4 m/s flow velocity and 3 minutes machining time for producing this micropattern. An attempt is also made to analyze the optical and 3D images of circular micropattern from the experimental results.
A Review on Transition-metal Oxalate Based Electrode for Supercapacitors
Authors: Singh Abhijeet Kumar , Jaiswal Piyush , Singh Preetam
Published: July 2021

Transition-metal oxalates have been significantly showing the potential for charge storage in supercapacitor as an energy material. Transition-metal oxalate materials with framework structures, morphology and electrochemical properties offer an opportunity for sustainable energy storage material. Recently, transition metal oxalates, witnessed pseudocapacitive or battery type behaviour when it has been used as electrode for supercapacitor applications. In this review, we mainly address the recent study of transition metal oxalates as potential energy storage materials such as Co, Ni, Mn and Fe based oxalates and composites in the context of supercapacitors with electrochemical performances. Although, electrochemical performances of TMOx electrode can be enhanced through various methodology such as by preparing mixed TMOx structures or preparing nanocomposite with highly conductive secondary materials such as graphene and CNT. The generated idea after reading this paper will help the researchers to explore further usage of transition metal oxalates in the field of electrochemical energy storage devices.
Microwave-assisted extraction of chlorophyll and polyphenol with antioxidant activity from Pandanus amaryllifolius Roxb. in Vietnam
Authors: Nguyen Nguyen Hong Khoi , Diem An Nguyen Thi , Anh Phan Kim , Truc Tran Thanh
Published: July 2021

Pandanus amaryllifolius Roxb., also called as pandan leaf, is distributed mainly in hot and humid climate areas. Pandan leaf, grown very popular in Vietnam, contains many biological value compounds such as chlorophyll and polyphenol with oxidation prevention activity. Microwave-assisted extraction (MAE) has advantages such as reduced extraction time and high extraction efficiency in comprison to other extraction technologies. The aim of this study was to assess the effect of microwave-assisted extraction conditions on chlorophyll and polyphenol content as well as antioxidant activity of pandan leaf. Research results show that acetone solvents of 90°, pandan powder: acetone ratio of 1:30, microwave capacity of 300W, microwave-assisted time of 2 minutes are parameters for the highest extraction efficiency. With these conditions, chlorophyll a, b and total chlorophyll content are respectively 9.4278 μg/mL, 4.2460 μg/mL, 13.6738 μg/mL, polyphenol content is 2.7577 g/L and DPPH radical collection activity 1409.51 μmol/L.
Evaluation of antibacterial properties of some essential oils from Vietnam
Authors: Do D N , Nguyen D P , Tran T T A , Nguyen D Q , Lai N M T , Huynh T H , Do V M , Luu X C , Le X T
Published: July 2021

Natural products have attracted attention from scientists because of their potential to replace antibiotics in the near future. Thanks to Vietnam’s richness in biodiversity, this study aimed at evaluating antibacterial activity of eleven essential oils from various plants. These essential oils were collected from various plants across Vietnam such as corn mint, clove, clove basil, eugenol, tea tree, terpinen-4-ol, kaffir lime, Mexican mint, rosemary, Homalomena occulta, and betel. By chemical reaction and fractional vacuum distillation method, eugenol and terpinen-4-ol was isolated from clove basil and tea tree oils with the content reaching up to 97.0% and 95.8%, respectively. The antibacterial activity against Staphylococcus aureus, Bacillus subtilis, Escherichia coli of essential oils was determined by disk diffusion and broth dilution method. As a result, Mexican mint oil and eugenol exhibited high antibacterial properties with low MICs and MBCs (62.5 to 125 uL/L), whereas other essential oils (clove, clove basil, betel, tea tree, terpinen-4-ol) had higher MIC and MBC values ranged from 125 to 500 uL/L.
Vehicle Recognition using extensions of Pattern Descriptors
Authors: Keerthi Kiran V , Dash Sonali , Parida Priyadarsan
Published: July 2021

Vehicle identification and classification for still images are incredibly useful and can be extended to a range of traffic surveillance operations. Reliable and accurate recognition of vehicles is however a challenging issue due to changes in vehicle appearance and illumination difference in real time scene. In this paper, we present a simple and effective way of vehicle recognition technique based on vehicle’s local texture features extraction and classification. The local features are extracted individually using the Local Binary Pattern (LBP), Median Binary Pattern (MBP), Gradient directional pattern (GDP), and Local Arc Pattern (LAP) descriptors and feed into Support Vector Machine (SVM) for classification. We also focus on vehicle classification using various color spaces like RGB, HSV, YCbCr for the texture descriptors extraction. The primary focus is to observe the effect of colour information on vehicle classification efficiency across different colour spaces. Initially, experiments are conducted for the classification of gray-level vehicle images of five different classes from the CompCars dataset. Then experiments are extended to different color spaces for the same dataset for color texture classification. The integration of different colour details increases the efficiency of vehicle classification, according to the experimental results.
Ab-initio Modeling of Functionalized 2D-Stanene nanostructure in context of FET based Toxic Gas Sensor
Authors: Verma Swati , Kumar Arun , Kumar Hemant , Baghel Rahul , Pinjarkar Latika , Verma Mohan L
Published: July 2021

Detecting toxic gases in the environment cannot be minimized in today’s highly polluted world and the reality of global warming. Carbon monoxide is a highly toxic air pollutant and can cause serious health problems. Sensing materials plays a critical role in the performance of gas sensors. Nanostructure materials exhibit better performance as sensing channels in application for developing novel FET-based sensing devices. In the proposed work, the ab-initio study is performed to explore the performance of 2D-Stanene nano sheet as a sensing substrate for application of field-effect transistors as gas sensor. We explored CO gas-adsorption behaviour on pristine, hole-defective, and Pt-doped Stanene sheet and analyzed structural, charge-density, electronic and transport properties by first principles calculations and exploit its potential for high-performance gas sensing. Here in, to get the measure of sensing properties of Stanene nano sheet after the adsorption of gas molecule, first the molecular model of all the adsorption cases are modelled by considering all possible anchoring sites and optimized, and then calculations were performed based on density functional theory (DFT).
Comparative Analysis of Solution Methods for Swing Equation in Power System for Transient Stability Studies
Authors: Sanitha Michail C
Published: July 2021

In power system swing equation plays a remarkable role in investigating the transient stability. Disturbances in system creates imbalance and it may lead to lose the synchronism. Solution of swing equation will help the operators to analyze the stability of the system during the disturbances and initiate the protective mechanism to save the system. The non linear differential swing equation is complex in nature. Commonly used numerical methods to solve swing equations like Point by Point, Modified Euler’s and Runge Kutta have explained in the paper. Along with numerical methods, two other methods, evolutionary algorithm based Particle Swarm Optimization method and analytical based Maximum Lyapunov Exponent method has also been investigated in this paper.