bluuebunny/crossref_metadata_2025 huggingface dataset:
The Profiles of Students’ Problem Solving Abilities Visual Static Models in Mathematics
Authors: Nugraha D , Rahman A , Asdar  , Upu H
Published: May 2021

This study aims to determine the profile of the Mathematical Visual Static Model Problem Solving Ability. This study applies a qualitative approach by involving 8th-grade students at SMPN 1 Ajangale, who are selected from five different prototype groups and are based on students’ equations or mistakes in solving visual static model problems. Research subjects were selected during the data collection process from visual static model tests and interviews. The results showed that in completing the visual static model test, namely the first subject: overall good problem solving in knowledge skills, logical thinking, and mathematical logic, but did not have mathematical visualization and mathematical representation; for the second subject: mathematical representation, but lacks the ability of mathematical knowledge, logical thinking, mathematical understanding, visualization, and problem solving; for the third subject: mathematical knowledge skills, mathematical representation, mathematical understanding, problem solving, logical thinking, and mathematical visualization; for the fourth subject: logical thinking, but does not have mathematical understanding, mathematical knowledge skills, problem solving, mathematical representation, and mathematical visualization; and for the five subjects: logical thinking and mathematical representation, but lack of knowledge of mathematics, problem solving, mathematical understanding, and mathematical visualization.
Profile of Junior High School Students’ Scientific Thinking Ability
Authors: Aryungga S D E , Agnafia D N , Fanani F H
Published: May 2021

The purpose of this study was to describe the profile of the scientific thinking ability of junior high school students. This type of research is descriptive research. The target of this study was 223 junior high school students (13-15 years old) in Ngawi, East Java. This research uses the Classroom Test of Scientific Reasoning (CTSR) developed by Lawson, the result of revision in 2000 which has been translated by Asnawi into Indonesian. The test has a reliability coefficient, calculated by the KR-20 formula, of 0.76. This instrument consists of 24 multiple-choice questions. The result of the research obtained is the profile of the level of scientific thinking ability of junior high school students is 89.24% of students at the concrete level, 8.97% of students at the Low Formal level, and 1.79% of students at the Upper Formal level.
The Development of Mathematics Learning Tools Based on Realistic Approach of Cooperative Model
Authors: Mulbar U , Minggi I , Rahmadani  , Herwandi
Published: May 2021

This research was development research which aimed to develop mathematics learning tools based on the realistic approach of cooperative model in cube and cuboid materials. They included lesson plans, student books, teacher books, student activity sheets, and Assessment Sheets. The study subjects were students of Class V SDIT Al-Fityan School Gowa. The development procedures used in this research were the Thiagarajan models or 4-D models which included four stages, namely the limitation stage, the design stage, the development stage, and the dissemination or socialization stage. The purpose of this research was to produce learning tools that were valid, practical, and effective based on the realistic approach of cooperative model in cube and cuboid materials. Mathematics learning tools developed had been validated and revised so they were feasible to use.
The Impact of Discovery Learning with a Scientific Approach in Mathematics Learning
Authors: Alimuddin  , Mulbar U , Rahmadani
Published: May 2021

This study aimed to determine the impact of discovery learning with a scientific approach in mathematics learning on junior high school students in Makassar city. The research samples were students of class VIII MTs Negeri Model Makassar. Data collection methods in this research were test and interview. The test method was used to obtain learning outcome data. While interviews were conducted to obtain data about the impact of discovery learning with the scientific approach in student mathematics learning outcomes. The analysis techniques used were descriptive statistics and inferential statistics. The results of descriptive and inferential analysis showed that the average score of student mathematics learning outcomes in experimental class was 91.33 with classical completeness around 97%. It showed student learning outcomes increased after the discovery learning with the scientific approach was applied. Thus, discovery learning with the scientific approach was better than conventional learning.
Analysis of Activity Improvement and Student learning Outcomes on Salt Hydrolysis through Discovery Model Learning
Authors: Sugiarti  , Sulastri T , Wijaya M
Published: May 2021

This research is a quantitative descriptive study that aims to analyze the increase in activity and learning outcomes of salt hydrolysis of Class XI MIPA students at SMA Negeri 11 Makassar through discovery learning model. The types of activities that are used as indicators are visual, writing, oral, listening and mental activity. Learning outcomes are seen from five indicators, namely: 1) Understanding the principle of the hydrolysis reaction, 2) Analyzing salts that undergo hydrolysis, 3) Writing the hydrolysis reaction equation, 4) Determining the hydrolysis constants and pH of the hydrolyzed salt solution, and 5) Determining the graph the relationship between changes in pH value in acid-base titrations to explain the nature of the hydrolyzed salt. Research data obtained through observation of learning activities during learning process and evaluation at the end of each lesson of salt hydrolysis. The results shows that students’ learning activities other than oral and listening activity are in the very active category in all syntax, but for oral and listening activities in data processing syntax and proof that initially in the active enough category, each meeting has increased into a category active at the next meeting. Likewise, learning outcomes have increased from each meeting by 14%. The indicators of salt hydrolysis that experience completeness are the first, the fourth and the fifth indicators.
Inovation of Biology learning through the development of authentics assessment based on scientific literacy for student of senior high school
Authors: Bedduside N , Hadis A , Jalal. A I A. , Syamsiah  , Patongai D D P U S
Published: May 2021

This study is a development research, which uses ADDIE development model. The study was conducted in the even semester of the academic year 2019/2020. The authentic assessment instruments developed consist of cognitive and psychomotor assessment instruments for measuring the students’ science literacy skills in 10th grade on Environmental Change material. Indicators of scientific literacy refer to indicators developed by Gormally (2012). Measurement aspect were the validity by the expert appraisal and empirical validity test, difficulty level and practicability of instrument. The results of study showed the authentic assessment instruments that had been developed were proper to use with validity value 4.43. Empirical validity data for multiple choice were analysed using point biserial correlation. Result showed 76% in valid category with reliability value 0,82. For essay and psychomotor assessment showed 100% in valid category. The reliability value for essay is in the reliable category with value 0,62. Psychomotor assessment with reliability value 0,89. Difficulty index of assessment instrument in cognitive domain for multiple choice were 24 % in difficult level, 44 % in moderate level and 32 % in easy level, meanwhile for essay 40 % difficulty index in moderate level and 60 % in easy level. Result of data analysis for and practicality of authentic assessment instruments based on scientific literacy were in practically category.
Kinematics of “Traffic Light”: A Socio Scientific Issue Performed by Undergraduate Physics Students
Authors: Suprapto N , Admoko S
Published: May 2021

This research proposes an approach, especially on the socio-scientific issue in relating to the kinematics of traffic light (TL). The research utilised the one-shot case study that, an experimental treatment - modelling of SSI of the kinematics of TL is administered and then a post test is conducted to measure the effects of the treatment. Through the course of Physics for School, twenty-five junior physics students (3 males and 22 females) participated in the study. The results showed three main themes of the SSI item developed by students including: what should the driver do in the road for safety regarding the TL?; how much do the constant velocity for certain light of TL?; and which one the car across the TL?. Students’ understanding of SSI issues on the kinematics of TL ranging from 48 to 92 point of 24 items. All items categorised as reasoning items and belong to HOTS; these questions are also contextual. It teaches us an orderly culture of traffic and road safety. Moreover, it also gives a lesson about science for all and science communication.
LEARNING ENVIRONMENTAL LESSONS FROM INDEGENOUS AMMATOA KAJANG TO PRESERVE THE FOREST
Authors: Samad Irsyad Dhahri , Niswaty Risma , Agus Andi Aco , Arman Andi
Published: May 2021

The existence of Kajang indigenous community of Bulukumba Regency in Indonesia has been recognized before the 1918s and conflicted in many ways under atavism and modern perspective of political powers around the area. However, the decision and the commitment of the community members with Ammatoas to preserve the nature and environment amidst onslaught prevailing civilization and current socio-political and developments is a survival phase in gaining respected indigenous rights. Implementing concepts of „cukup-enough’ and ‘Pasang-Advices’ as lessons to communicate with the environment and surrounding forests is eventually recognized and respected. Though, the indigenous community is still continually experiencing difficult alluring occurrences in maintaining the tribal concept till now.
Accelerated e-Learning Implementation through Youtube Videos Using Smartphones
Authors: Amaliyah Aam , Agusmiati Sinta , Zakiyah Bz , Ummah Wilda Khairul , Hasanah Uswatun , Baini  , Abdullah Dahlan
Published: May 2021

This writing aims to determine the acceleration of implementation of learning through YouTube video using smartphones in the phone’s. Implementation of learning with an e-Learning model that is new in the field of teaching and learning and there are differences of teaching strategies with digital techniques, thus providing a more effective quality of learning in increasing the learning interest of learners. E-Learning system is indispensable to anticipate the development of the era with information technology support. At this time all heading towards digital, both mechanisms and content. One such information technology is the Smart phone that is becoming a medium in learning today. Smart phone is that come with advanced and high-capability features such as a computer. On smart phones, there are interesting and growing applications that grow rapidly in accordance with the growth of social media development that has become one of the internet attraction that also grow rapidly. One of them is video You tube. You Tube is one of the applications that is easily accessible through smartphones and can be a modern learning resource so that many students who are interested in doing learning especially language learning. In addition to the easily accessible images contained in YouTube videos is very interesting so it can increase the learning interest of learners.
Utilization of Digital Applications in Learning Assessment
Authors: Dakir  , Zamroni  , Baharun Hasan , El Iq Bali Muhammad Mushfi , Qatrunnada Wasilah , Kulsum Umi , Asiyah Umi Siti , Abdullah Dahlan
Published: May 2021

This study aims to analyze the problems faced by teachers in the use of digital report cards in learning assessment activities in the Madrasah
Ibtidaiyah Nahdlatul Ulama, Kraksaan, Probolinggo, East Java, Indonesia. This research uses a qualitative approach with case study. The results showed that the problems faced by teachers in the use of digital report cards in madrasah are as follows; the complexity of making grading descriptions from numbers into letters and the complexity of entering grades, the number of teachers who are less familiar with technological devices, and the lack of time to process report cards and the limitations of teacher access to existing applications.
The Effect of Using Edmodo Application on Students’ Mastery Skill of Technology
Authors: Mahmud Eka , Rozi Fathor , Hefniy  , Baharun Hasan , Syakroni Agus , Muali Chusnul , Widad Romzatul , Azizah Nur , Zuhriya Siti Aminatus , Abdullah Dahlan
Published: May 2021

This study aims to determine the effect of using the Edmodo application on students’ technology mastery skills at SMA Nurul Jadid. This study used a quantitative approach with the type of exposure factor, the population taken in this study were students of class X SMA Nurul Jadid. The sampling technique used a purposive sampling technique, and data collection techniques were carried out through questionnaires and tests. While the data analysis using linear regression analysis with t and F tests. The results showed that the partial test results (t) were obtained with a tcount of 4.534 with a significance value of 0.00 <0.05., so Ho was rejected and Ha was accepted. Thus obtained from the results of R Square shows that the conclusion of this study has an effect of 14.80% and the remaining 86.20% is influenced by other factors that are not examined in this study.
Augmented reality-based student’s worksheets on algebra word problems
Authors: S Salim S , Jainuddin  , Darmawan F A
Published: May 2021

Students working on a word problem sometimes missed the answer for some reasons. The most common reason is that the students misinterpreted the question. Word problems sometimes mention a vocabulary that is somewhat difficult to define by the students. Besides, word problems, especially algebra word problems, are not easy to be visualised because the comparative vocabularies used are confusing for some students. As a result, they end up with incorrect conclusions instead. As such, this study aims to create augmented reality-based student’s worksheets to assist the students to visualise algebra word problems using animations. This is a design and development study, which consists five stages. The first stage is investigating students’ needs (amid covid-19 pandemic in particular). After that, the augmented reality-based student’s worksheets are designed by considering the investigating result. Next, the worksheets are constructed before being tested and evaluated. Based on the evaluation, the worksheets are revised then finally it is ready to be implemented. The recent progress of the research is that the augmented reality-based student’s worksheets has been revised and ready to be implemented. The worksheets allow students to study from home by scanning codes using their devices (android smartphones are advised) then video animations will appear and explain the algebra word problems they are working on.
An interactive e-book development based on green chemistry study on Hydrocarbon
Authors: Anwar M , Alimin  , Munawwarah
Published: May 2021

The aim of this study is to make an interactive e-book based on the green chemistry approach. This interactive e-book was prepared by using the development rearch method by Richey, Klein, and Nelson with the DDE model (Design, Development, and Evaluation). Interactive aspects of this teaching material are the “watch for know” coloumn that presents related learning videos, links that contain related general knowledge, practice questions and competency test at the end of learning activities that consist of questions, scores, and the answer key. This interactive e-book includes green chemistry aspect as an approach by providing contextual cases in hydrokarbon subject. This interactive e-book is valid after going through two types of validation, that were content and media validation. There are two validator in each type of validation. The validation questionnaire is an instrument used in this study. The content validation questionnaire consist of subject accuracy, recency, and communication aspect. The media valiodation questionnaire consist of media design and navigation/operation.
E-Learning Integrated Active Learning Strategies to Improve the Critical Thinking Skills
Authors: Palloan P , Usman  , Azis A , Hakim A
Published: May 2021

Physics learning is expected to provide students with the provision to grow and improve critical thinking skills. Learning that is suitable for improving critical thinking is an active learning strategy that is integrated with e-learning. The results of previous studies indicate that college students’ critical thinking skills are in low category. This study aims to analyze the improvement of students’ critical thinking skills through active learning strategies. The active learning strategies used are Reading guides, Concept Mapping Strategy, and Information Search Strategy. The design of this study used posttest only control group design. Students’ critical thinking skills are measured using 6 essays and through student worksheets. The results showed that critical thinking skills of experiment group were higher than control group.
The use of information technology to improve student’s deep understanding of matter and energy
Authors: Martini  , Erman  , Qosyim A
Published: May 2021

Advances in information technology make it easy to get a lot of information from internet. Therefore, teachers must facilitate learning that encourages students to increase their deep understanding with the use of information technology. Through the implementation of the PDCA model, which consists of Plan, Do, Check, and Act, students gradually search for information on the topic of material change. The topic which consists of three sub topics, namely: (1) the composition; (2) the electricity; and (3) the magnetism. The subjects in this study were 20 students from the superior class of S1 Science Education. The implementation of the PDCA model is designed as follows, (1) the planning stage, students are given the task of finding information by internet about the sub topics that become their assignments. Students read and understand it; (2) the doing stage, students are asked to describe what is read, and formulate questions from the information read; (3) the checking stage, students re-examine the questions formulated; and (4) the action stage, students look for information to answer the questions in the previous stage. The study was conducted in two cycles. The results were obtained that there was an increase in students’ deep understanding of all sub topics.
Distance Learning and Independent Learning of Students in Higher Education
Authors: Rozi Fathor , Ramdlani Maghfur , Najah Faizun , Azizah Noer , Niswa Harisatun , Abdillah Moch , Rozi Fakhrur
Published: May 2021

This study aims to determine the effect of distance learning on the learning independence of students at the Islamic Faculty of Nurul Jadid University. This study uses a quantitative approach with the type of exposure factor, the population taken in this study is the entire study program at the Islamic Faculty consisting of 100 students of each study program. The sampling technique uses simple random sampling and data collection techniques. done through questionnaires and tests. While the data analysis using linear regression analysis with t and F tests. The results showed that the partial test results (t) were obtained with a tcount of 4.666 with a significance value of 0.00 <0.05, so Ho was rejected and Ha was accepted. Thus obtained from the results of R Square shows that the conclusion of this study has an effect of 13.60% and the remaining 86.40% is influenced by other factors not examined in this study.
Student’s Learning Motivation and Interest; The Effectiveness of Online Learning during COVID-19 Pandemic
Authors: Fajri Zaenol , Baharun Hasan , Muali Chusnul , Shofiatun  , Farida Lilik , Wahyuningtiyas Yulis
Published: May 2021

Online learning is one of the solutions needed by educators and students in the COVID pandemic 19 periods that occurred in February 2020. The purpose of this study was to determine the effectiveness of online learning using the zoom cloud meeting application as an alternative to solving the problem of student learning activities at Nurul Jadid University in COVID-19 pandemic period. This research method uses descriptive qualitative research methods using survey techniques. The instruments used were observation, questionnaires, and interview online. Based on the results of the questionnaire the effectiveness of online learning using the zoom cloud meeting application reached 93.75% followed by the results of interviews and observations that can increase student motivation and learning interest.
A Novel Approach for Pattern String Matching in Intrusion Detection System
Authors: Azarudeen K , Chakkaravarthy G Vinoth , Murugiah Premkumar , Kharthikeyan S
Published: May 2021

String matching algorithms are critical for web usage devices which screen the packets and moves on the basis of load. Intrusion detection or prevention systems, web cleansing, anti-virus and junk preventive systems all have a necessity for effective algorithms when managing string matching scenarios. Some of the algorithms viz. Aho-Corasick, WuManber, Rabin-Karp, Commentz-Walter, Bit parallel etc. entails lot of space and time. AhoCorasick algorithm is built on the basis of finite state machines. On the shadow of KnuttMorris-Pratt, Commentz Walter developed an algorithm which in turn uses finite state machines. Bit parallel algorithms like shift-or takes the help of varied computer words ie. the registers in CPU, to compare the efforts. Rabin Karp implements hashing for discovering matching pattern strings in a given text. Wu-Manber looks text in chunks than of every character coalescing the work of Aho-Corasick and Boyer-Moore. Our algorithm reduces character comparisons and consumption of memory on the basis of graph evolution structure and search procedure by means of dynamic linked list. Theoretic study and trial results demonstrates that the projected work is much enhanced in terms of space and time consumption, when compared with previously known pattern-matching algorithms.
Identification of Plant leaf diseases using Adaptive Neuro Fuzzy Classification
Authors: Nandhini N , Srisathya KB
Published: May 2021

The Plant Leaf infection attestation tallies gathers on segregating different sorts of highlights from leaf pictures of weakened plants. The Leaf disorders are critical segments, as it can cause colossal abatement in both quality and number of harvests in agribusiness creation. Thusly, area and portrayal of ailments is a huge task. The highlights extricated from the leaf pictures depends on the grouping cycle. The leaf picture-based infection acknowledgment approach comprises of three techniques: locale division of unhealthy leaf pictures utilizing K-implies bunching, extraction of surface and shape highlights from grouped injury pictures, and arranging the ailing leaf pictures utilizing Adaptive Neuro Fuzzy characterization. The framework produced for leaf sicknesses acknowledgment is used to remove the features from tainted leaves and will be used to gather leaf ailments using ANFIS.
Improved Haar Cascade Feature Extraction and Access Control Framework for Rich Internet Applications
Authors: Srithar S , Mettildha Mary I , Baskaran P , Maheswaran T
Published: May 2021

In the digital era, internet application access protection against malicious access is a major concern. The security aspects such as password, pattern lock, and biometric are commonly preferred in mobile applications. To enforce the security feature in all aspects the face recognition padlock framework is used to prevent unauthorized or malicious accesses. The proposed system will secure the rich internet applications from malicious accesses and threats. The improved haar cascade classifier effectively detects and recognizes the objects. The model will take a 4*4 feature matrix to train the positive and negative images. The positive image is the factual confident image whereas the negative image is everything else other than the confident image. The system will take 100 good samples to train the model. The internet application is eligible to access only when the confidence rate is greater than 90 percent. The confident rate is the match probability of the trained image and actual image.
Fog Computing-based Internet of Things and its Applications in Healthcare
Authors: Bansal Malti , Sirpal Varun
Published: May 2021

Internet of Things is the most revolutionary and attractive technology of today, which employs a combination of sensors, embedded systems, software and artificial intelligence. These devices are usually coupled with the cloud to produce significant insights. However, the cloud comes with its own issues such as network latency and jitter, which makes it inappropriate for delay-sensitive applications such as healthcare. Hence, a novel paradigm came about known as fog computing, in which computation is carried out at a data collection edge/source. In this paper, we have studied fog computing in a bottom-up fashion, starting from its key features, merits, and then an architecture to show that its integration into a traditional cloud-based IoT system makes it suitable for latency-sensitive applications. We have further made a deep dive into how fog-based IoT systems can be utilized in the field of healthcare, studying the architectures for context-sensitive and at-home healthcare monitoring.
Breast Cancer Prediction using Decision Tree
Authors: Ravi Shankar J S , Nithish S , Nithish Babu M , Karthik R , Shahid Afridi A
Published: May 2021

Cancer is one of the most difficult types of illnesses today, diagnosing the disease in the early stage is still tough for doctors. Genetic profiling plays a fundamental role in discovering environmental risk factors for cancer. a special mixed layered strategy of option tree and cluster is applied to create a most cancers risk assessment scheme. The proposed gadget is an invaluable device that forecasts certain types of cancers and it’s worth your serious considerations. This research uses statistical tools such as grouping, clustering and estimation to discover the aptitude of cancer patients. We have suggested this cancer prediction method in our paper based on the information-mining strategy. This computer reports the number of human breast cancers in the immediate future. This gadget is checked to be completed with previous clinical knowledge. The aim of this model is to protect the customers and to make it affordable to the person using it. and a predictive model will aid in physical injury prevention and diagnosis. This research helps detect a person’s chances of developing cancer at an early stage of treatment.
A Review on Wearable Epileptic Seizure Prediction System
Authors: Seethalakshmi V , Naveenkumar P , Prabu G Kavin , Kumaar S Praveen
Published: May 2021

Epileptic is a neurological condition that affects approximately 50 million people worldwide. Epileptic seizure prediction lowers the risk of a patient’s life being endangered by a seizure that occurs unexpectedly. The latest seizure prediction methods are computationally intensive due to the complicated hand-crafted features they extract, and they take a lot of memory to store their parameters, which makes them Inappropriate for IoT and connected systems with limited capabilities. In this paper, a deep learning-based IoT framework for accurate epileptic seizure prediction is presented. The proposed method combines the feature extraction and classification stages into a single integrated system in which raw data heartbeat and temperature signals are implemented without any pre-processing, reducing computing complexity even further. A machine learning based prediction model is proposed that extracts the relevant information from the temperature, heartbeat and haemoglobin value using of machine learning algorithm The health condition of patient or person can be found and give some analysis result like normal or abnormal condition. If abnormal condition is observed then the system predicts some medicine or dosage based on health condition and also send alert message using of GSM. In this work, a location tracking of patient is also included and alert is sent to authorized person when the patient fall down or patient get panic or abnormal health
Intelligent Stroke Subtyping Using Recursive Elimination
Authors: Lavanya G , Pradeep S , Prakash J , Prince S Selva
Published: May 2021

Ischemic stroke subtyping is essential for the forecast of ischemic stroke apart from its usage in effective design and treatment of the same. The manual assessment of affliction grouping procedure is time-consuming, having limitation on dataset and is prone to error. This work considers feature selection and forecast problems in medical datasets. Shapiro-Wilk algorithm has been used to rank the features and Pearson correlations between features have been analyzed. Additionally, the proposed work uses the Recursive Feature Elimination with Cross-Validation (RFECV) using linear SVC, Random-Forest-Classifier, Extra-Trees-Classifier, AdaBoost-Classifier and multinomial - Naïve-Bayes-Classifier to select the important features. Then a simple deep learning model has been exploited to classify the ischemic stroke subtype on the International Stroke Trial (IST) dataset. The proposed method classifies the ischemic stroke subtype exactly and the results also proved that the machine learning approach performed well than the human professionals.
IoT Based Automatic Monitoring and Control System
Authors: Chandra Prabha S , Ganishka G , Anto Mamman Shane S , Gayathri S
Published: May 2021

This paper is of systematic review is to analyze this research done on the period of time activity or trailing of the number of intravenous fluid (IV) level during a saline bag and additionally to watch the heart rate and temperature level of the patient. This technology provides health service for patients, particularly who are in intensive care Unit(ICU). Among the varied treatments, the saline medical aid, heart rate and temperature watching is that the most significant treatment that a lot of patients receive from the hospitals. According to this paper, an IoT based mostly system has been enforced which will monitor the heartbeat and temperature and live or track the number of IV fluid level from the output given by a hardware system consisting of a NodeMCU and pulse sensor and temperature sensor. Further, an alert system is value-added that is executed if the IV fluid level goes below the permissible level given within the devised algorithmic rule. The alert message is received by the doctor through associate degree alarm sound by using buzzer and additionally value-added to it, if the heart rate or temperature level goes above or below the permissible level the light can blink on the monitor to point the seriousness level of the patients. By this example the doctors will access the heartbeat rate, temperature and IV fluid level information of the patient from any location. The nurses or the duty doctor obtainable at the hospital will monitor the on top of mentioned information of the patient within the serial monitor through the period of time watching system. The period of time watching is completed via Google platform, this platform is safer to store the main points. The on top of mentioned information and different personal details of the patient area unit keep within the cloud, this may be utilised for future studies on the health condition of the patient. The example is realised using NodeMCU, pulse sensor, load cell, temperature sensor, and Google Platform.
Vehicle Speed Control and Accident Prevention System in Smog Zone
Authors: Kathirvelu M , shree A C Nithia , Manasa M , Naveen L , Karthi N
Published: May 2021

The air quality index (AQI) is a proportion of what air contamination means for one’s wellbeing inside a brief timeframe. The higher the AQI esteem, the more noteworthy the degree of air contamination. In a smog zone, the air pollutants can be detected with an air quality detector that will provide information about invisible toxic pollutant matters present in the air. This paper is concentrated on vehicle collision avoidance in smog places. For instance in the road, the driver suffers from unclear vision because PM (Particulate Matter) enters his/her eyes which leads to vehicle collision. A vehicle collision avoidance system with a microcontroller and onboard sensors in the smog zone is developed. It mainly focuses on the digital driver-vehicle interface implementation by using CAN protocol. The framework of CAN lessens wiring by and large. In this system, information like humidity, temperature, and distance is obtained. The humidity module measures both the temperature and humidity content and an the ultrasonic sensor is adjusted to gauge the distance between the object and vehicle, if a hindrance is identified inside 300cm from the vehicle, the alarm gives a signal to the driver. Once an individual vehicle enters the smog zone, it lowers the speed.
Monitoring and Intelligent Prediction Method Using IoT
Authors: Saravanan K , Nivedhaa M , Kavya shree V , Manikandan S , Kumar Raj
Published: May 2021

Clinical methods for checking domesticated animals’ wellbeing are lacking, as they give just irregular data and required a lot of asset interest as far as time and veterinary aptitude. The creature wellbeing observing framework that is assigning equipment which will mount on the creature body, at present there are no such frameworks which will give on current status of the creature. At present to distinguish the wellbeing status of creature we needed to sit tight for veterinary mastery which set aside long effort for its appearance. The framework won’t just improve singular creature wellbeing, yet it likewise distinguishes and forestalls far and wide infections, regardless of whether it started from common causes or from natural assaults. Such a framework would help in early conclusion of sicknesses. The framework comprises of various sensors for example Temperature sensor, Heart rate sensor. The gadget is vital just as supportive for the medical care of creatures.
Solar Based Charging Station for E-Vehicle
Authors: Gayathri A , Prasanna C , Priyanka M , Rahul M , Abdullah K Mohamed
Published: May 2021

An E-vehicle charging station, otherwise known as an EV charging station, an electric re-energize point, a charging point, an electronic charging station (ECS), or an electric vehicle supply hardware (EVSE), is a piece of a framework that gives electric energy to the re-energizing of module electric vehicles, like electric vehicles, local area electric vehicles, and module mixtures. The main objective of this paper “Solar Based Charging Station for E-Vehicle” is to generate maximum power from the solar panel by tilting its angle based on the intensity of the light that falls on the solar panel. Also, the amount of power available in the charge station is continually monitored locally and from the remote area by using the concepts of Internet of things
Power factor correction based EV battery charger using a bridgeless isolated SEPIC converter
Authors: Prabaakaran K , Senthil Kumar R , Katta Pradeep , Balaji A , Dilipan P , Kaniyappan M
Published: May 2021

Electric Vehicle (EV) battery chargers which uses the conventional PFC (power factor correction) circuits have the limitation of efficiency because of its high conduction loss which occur at the input of DBR (diode bridge rectifier). To solve this issue, a bridgeless isolated single ended primary inductance converter (SEPIC) is used. Throughout the charging process, the input current operates with a power factor of one. Conduction losses are drastically reduced by the removal of the DBR and current conduction due to fewer devices. The overall performance of proposed system is shown by means of various modes of operation, simulation and experimental process. EV batteries are typically charged in constant current or voltage mode, which increases the charger’s overall efficiency.
Solar PV Based Super Lift LUO Converter for BLDC Motor Drive
Authors: Mohammed Ovaiz A , Katta Pradeep , Senthil Kumar R , Yugin M , Dhiwakar M , Chandru S , Manikandan P
Published: May 2021

Nowadays, in electronic circuit design we are mostly using Voltage lift technique. In an arithmetic progression, it depicts the rise of voltage stage by stage. It gives voltage rising stage by stage in a geometric progression using a Super-lift converter, which is often used in solar PV applications. In power series, it enhances the transfer gain effectively. For providing good statistics and dynamic performance, Developed Cuckoo algorithm based on MPPT is used. MATLAB software is used to investigate the dynamic characteristics and analyse the closed loop performance of these converters with resistive loads under supply and load. Boosted power is supplied to BLDC motor.
Detection of Online Fake Reviews Based on Text Emotion
Authors: Kiruthika S , Priyan V Vishnu
Published: May 2021

online groups offer clients with ways to overpower a few data hurdles and limitations, like the challenge to get self-governing data about movies and for the co-occurrence of positive and negative reactions within reviews. False reviews will disturb such choices because of misleading data, causing commercial disadvantages for the customers. Recognition of false opinions has thus expected very large concentration now days. But, many websites have only concentrated on handling the problematical comments and reviews. Our work tends to categorize people opinions into groups of true orfalse polarization by employing text feature analysis. In our work, our team analyze people opinions by implementing Sentiment Analysis techniques to recognize false opinions. Sentiment Analysis and text feature categorization techniques were used to a database containing people opinions. Furthermore, the estimation reviews acquired from reviewers could be categorized into good or bad opinions, that could be utilized by a customer to choose a movie. Further the proposed technique will graph based on the classification of true and fake reviews as the analysis of good and bad reviews for a product (movie). It will help us to predict the ratio of fake reviews to true reviews easily. To estimate the accomplishment of SA technique, this work has employed accurateness, exactness, recollection and F-degree as a performance rate.
Daily stress classification using functional near infrared spectroscopy
Authors: Devi S Siamala , Elamparithi  , Gowtham V , Sharon B Julian
Published: May 2021

Any mental or physical pressure can be termed as a stress. Stress usually originates from any action or feelings that make a person to feel irritated or panic. An external inducement, action or an atmosphere that pressurizes an individual person is known as a stressor. Several studies related to mental stress have pointed on the insight of psychological state in the presence or absence of investigational stressor. Anyhow, considering psychological state without investigational stressor will not precisely signify the no stress state as people naturally experience extensive pressure in their day-to-day life. It is high time to improvise the stress detection in an exact manner. In this paper, functional near-infrared spectroscopy (fNIRS) was evaluated in 41 healthy members to enumerate their prefrontal cortical oxygenation while executing a reasoning task as an investigational stressor, by considering distinct strain level. The primary six attributes are mined which includes slope, mean, standard deviation, peak, skewness, and kurtosis of the oxygenated hemoglobin concentration. With the help of Support Vector machines (SVM), by considering the several attribute combinations and its time frame, the daily stress and mental stress were properly classified. Our discoveries show that the higher the use of web-based media, the higher the danger of sadness, with young ladies being exposed to the most elevated danger. An early misery locator is proposed to track and control this danger factor of web-based media usage. We similarly misuse multi-source learning in SNMDD and suggest another SNMD-based Tensor Model (STM) to advance the exactness. To extend the flexibility of STM and to additionally improve the capability with execution guarantee. Our structure is assessed through a customer concentrate with 3126 online casual network customers. A segment examination is applied, and besides applies SNMDD for huge extension datasets and analyses the features of the three SNMD types. The experimental results show that SNMDD is hopeful for recognizing on the web relational association.
Noval Approach For Chronic Kidney Disease Using Machine Learning Methodology
Authors: Abinaya U , Devi S Anitha , Haritha B , Raghunathan T
Published: May 2021

Chronic kidney disease (CKD) is a health-related problem in the global context which has high mortality and mobility rate. It in-turn which induces other health diseases. Patients regularly neglect the illness, since there are no conspicuous side effects during the beginning phases of CKD. Discovering CKD at the earliest empowers opportune treatment to the patients and enhances the movement of the infection. Machine learning models helps therapist accomplish this objective because of their rapid and precise acknowledgment execution. Here, we proffer an KNN and Logistic regression, system for detecting CKD. From the reputed University of California Irvine (UCI) AI store, the CKD data set was collected, which contains tremendous set off non existing characteristics K Nearest Neighbour attribution isutilized in the place of non-existing qualities that chooses a few examples with most of the comparative estimations that handles missing information for each fragmented example. The qualities that are missing generally found, all things considered, clinical circumstances since patients may miss a few estimations for different reasons. After adequately rounding out the fragmented informational index, six AI calculations (strategic relapse, irregular backwoods, uphold vector machine, k-closest neighbour, feed forward neural organization and credulous Bayes classifier) were utilised to set up the models. Among these AI models, irregular woodland accomplished the best execution with 99.75% conclusion precision. We proposed an incorporated model, by breaking down the misjudgments produced by the set up models. Utilising perceptron, which consolidates calculated relapse and irregular woods, which could accomplish a normal exactness of 99.83% after multiple times of re-enactment.
Defect Detection of Industrial Products Using Image Segmentation and Saliency
Authors: Prabha P Anantha , Bharathwaj M , Dinesh K , Prashath G Hari
Published: May 2021

The manufacturing industries have been searching and developing new solutions to increase the product quality and to decrease the time taken and costs of production. Defect detection methodologies consume much time in manufacturing and manual inspections for quality enhancement. The existing systems cannot handle the data other than the trained ones as they followed the comparison process with the dataset which is of more time consuming and lack of effective depth representation. In the proposed system, multi scale saliency defect detection algorithm is implemented to obtain the boundaries and range of defect in the surface of industrial products. The defect in the products can be detected using pre-processing defect image with color channels, detecting uneven illumination and post processing the defect image thereby splitting out the defect part from original image with edge detection and contours. Hence the output will be of more robust and accurate comparing to the existing systems.
Self-Powered Vehicle with Enhanced Battery Technology
Authors: Revathi R , Sasidharan S , Kumaran G , Mariesh M
Published: May 2021

The covid-19 pandemic has created a situation where public transportation turns out to be not advisable, and people start encouraging their vehicles for safety reasons. If this was the situation, then the number of vehicles on the road would be increased drastically which will lead to a lot of pollution problems and also demand for fuel. To balance the situation, an innovative vehicle with a self-powered facility using piezo transducer and regenerative braking technology with innovative battery pack technology has been created and it turns transportation into a sustainable one. The battery system is designed with new innovative and efficient techniques. All the innovations and designs lead to eco-friendly, sustainable, and more comfortable transport facilities with cheap prices that could be affordable by normal people. The application for the designed self-powered vehicle including Battery Management System (BMS) can be applied in various application of battery vehicles. This innovative technology move on the fact of renewable energy and the environmentally friendly process is a goal aiming to stop the the valuable natural resources which pretend to destroy. Self-powered source of energy plays a major part in the future of the nation. It is cent percent sure that the development of this prototype will indeed contribute to the technology development in electrical and electronics engineering, which make the pride of very own country, India.
Design and Fabrication Of Microstrip MIMO Antenna For 5G Smart Phones
Authors: Nithya S , Sandhiya M , Sathish Kumar R , Vaishnavi S , Vishnu Prasad S R
Published: May 2021

Now a days, extensive research on the 5G technology is on the rise. With the commercialization of the fifth generation (5G) mobile communication, high data rate communication and intelligent wireless services is approaching. In this project a wide band eight element MIMO (Multiple Input Multiple Output) array with high element isolation enrichment for 5G metal frame smart phones is presented. We built a rectangular patch antenna with 56 radiation and 2×4 elements. The MIMO microstrip antenna with 112 radiation using the microstrip feedline is designed for 5G wireless communication. The 2×4 MIMO microstrip antenna provides excellent results with a bandwidth impedance of 0.7GHZ and access to recovering 32dB loss to 7GHZ. The designed MIMO antenna array comprises of T shaped and inverted T shaped slots. To improve the bandwidth, the required resonances can be obtained by adjusting the E shaped slots. Furthermore, to improve the element isolation between two antennas, L and T shaped slot is introduced between each antenna element.
Arduino enabled IoT based Smart Shopping Trolley
Authors: Nithiavathy R , Asmitha Shree R , Praveen Kumar S , Raghul S
Published: May 2021

As technology evolves and sees new developments in various fields, including artificial intelligence, machine learning, so on, there are growing customer expectations in world wide web. With the rapidly changing lives, customers have absolutely no time to wait in long lines to do their jobs. We present a clever shopping method with RFID and arduino controller in this paper. The trolleys in the shopping centers are a protocol so that they can verify the items placed in them automatically and the last bill is forwarded to a web application, available on any phone or handheld computer. The system is also subject to anti-theft management, where the system allows no customer to take unchecked products.