bluuebunny/crossref_metadata_2025_split huggingface dataset:
Renewable Energy Based Grid System Using UPQC for PQ Improvement
Authors: Murugan K , Guruprasad B , Perumal Varatharaju , Arul T G 
Published: July 2021

Abstract
This paper proposes the grid-connected renewable energy sources (RES) based power quality (PQ) improvement is accomplished using the power compensation device of a unified power quality conditioner (UPQC). In recent days, power quality improvement is essential to the grid system and connected sensitive loads. The photovoltaic (PV) system is utilized to the power provision for the UPQC device through a boost converter which improves the Dc link voltage with pulse width modulation control. The inverters in the UPQC device are controlled using the model predictive controller (MPC), improving the voltage and power compensation. The proposed system results are validated using the MATLAB/Simulink environment.
Diabetes disease prediction using decision tree for feature selection
Authors: Sadhasivam Jayakumar , Muthukumaran V , Thimmia Raja J , Joseph Rose Bindu , Munirathanam Meram , Balajee J M 
Published: July 2021

Abstract
In this paper more than one approaches are evaluated to optimise machine learning models for diabetes disease diagnosis. The main goal is to sort the medical data computation and choose the most suitable parameters to construct a faster and more perfect model using feature selection. Reducing the number of features to construct a model could direct to more useful machine learning algorithms which helps the doctors to focus on what are the most significant assessment to take into story. Feature selection is one of the process in machine learning which choose a subset of topical features namely variables for construction of models. In this research paper we use three feature selection techniques like Recursive Feature Elimination (RFE), Genetic Algorithm (GA) and Burota Package. After using feature selection at the end we use Decision Tree to predict the diagnosis Diabetes using a dataset named Pima Indian Diabetes Dataset and verify the performance of result model.
Test Study on Concrete by Partial Replacement of Cement with GGBS
Authors: Ramalakshmi M , Parkavi R 
Published: July 2021

Abstract
A Composite material of the solid that having its remarkable physical and mechanical quality, which chiefly helps the business, likes development. The current investigation is done in two stages in an underlying blend of M30 grade concrete, and part of the way supplanted from concrete to GGBS by 0%, 2%, 4%, and 6% analyses are utilized to locate the greatest substitution rate and accomplished the solid strength attributes. This work is experimented that the GGBS based material have achieve to improve in length intended to 30% substitution of cement at the period of 7, 14, and 28 days. As far as cost is concerned, the expense of GGBS in the market, including bundling and moving, is multiple times not exactly of OPC. In this way, the incomplete substitution of OPC in cement by GGBS isn’t just practical yet also encourages environmentally-friendly removal of the waste slag into a valuable item produced in enormous amounts from the iron and steel enterprises. The ideal strength was accomplished with the blend of 6% of GGBS with concrete.
An IoT Based Safe Assembly Point Alert System
Authors: Mangayarkarasi T , Umapathy K , Sivagami A , Subitha D 
Published: July 2021

Abstract
A large population depends on many industries for its livelihood like electrical, embedded, software product sectors. An IoT environment includes feedback phones that use smart devices, such as MCU (microcontroller unit), sensors and different sensors, collect, distribute, and act on messages they collect from their environment. IoT systems share the sensory data they receive when data has been either sent to the cloud for global applications or analysis by linking to an IoT gateway or other edge device. For the electrical maintenance occur in the industries will need a specific alert signal. The loss of manufacturing workers/workers may be controlled by a specific, minor accident. Therefore, it is essential to provide an emergency device able to detect the non-safety state of coal and produce an alarm to reduce the possibility of risks in the system. We are proposing an IoT-based alert system via mobile phones, as smartphones’ general usage is very common in the industries rather than using a walkie-talkie.
Design and analysis of hydraulic fixture for hydraulic lift housing
Authors: Jegan M M , Pitchia Krishnan B , Shanmugam Manoj Kumar , Infant Kebin Raj P , Bose K T 
Published: July 2021

Abstract
Fixtures are used to hold the work piece during machining operations. It is also used during the time of inspection, welding and assembling process. This paper presents, design analysis and development of hydraulic fixture for real industrial fixture. The component is hydraulic lift housing which is tractor part. The operations to be performed are milling, drilling, reaming & chambering on VMC. In existing design, the fixture set up is done by hydraulic. The existing fixture design is vibration occurs from the machining process, so product quality is less. From existing research analysis in this area, our project idea is extra hinge clamp device has to be added. Hydraulic fixture to reduce vibration and increase the product quality. In this research is analyzed by ANSYS we have found that the new fixture design will be better than existing model because the new model will give the less amount of vibration than existing model.
Design of Deep Neural Architecture for Brain Cancer Classification Using Pyramid Design
Authors: Mohan Kumar S , Yadav K P 
Published: July 2021

Abstract
In this study, Deep Neural Network (DNN) with Pyramid Design (PD) is developed for brain image classification. The main objective is to design a non-invasive procedure for diagnosing brain cancer using deep learning. The signal intensities obtained from the brain tissues using Magnetic Resonance Imaging (MRI) can be used for effective treatment. A pyramid consists of a predefined number of convolution layers and a max pool layer to abstract features. In the DNN-PD approach, the pyramid is stacked with an increasing number of convolution layers and convolution filters from one pyramid to the next pyramid and so on. The stacking is employed recursively to get more accurate results. It shows that the proposed architecture gives efficient results with 98.5% accuracy using REpository of Molecular BRAin Neoplasia DaTa (REMBRANDT) database. The diagnostic results of the proposed Deep Neural architecture with the expert’s analysis can reduce the biopsies, a dangerous procedure with a great deal of pain.
A review on arbuscular mycorrhizal fungal communities in response to disturbance
Authors: Amalia A V , Dewi N R , Heriyanti A P , Daeni F , Atunnisa R 
Published: July 2021

Abstract
Disturbance, both natural and anthropogenic, is considered a major structuring force in communities and influences overall species. Arbuscular mycorrhizal (AM), a symbiosis between plants and members of Glomeromycota fungi, enhances water and nutrient supply. These fungi play a significant role in the establishment and resilience of vegetation. Understanding arbuscular mycorrhizal (AM) fungus response to disturbance is necessary to preserve and rehabilitate functional plant communities in a post-disturbance landscape. The methods used in this study is a literature review. Firstly, the researcher determines the scope definition of the disturbance type used in the study. The next step is to find a research study that describes the community response, such as the diversity and community changes of AM fungi. The researcher then analyzes the response in different types of disturbances and synthesizes AM fungal diversity and community structure responses. In some studies, soil disturbance reduces AM fungal diversity, spore density, and changes or unchanged in community composition. These findings indicated various responses to disturbance in diversity and community structure.
Project Based Learning (PjBL) integrated with realia media towards learning outcomes on students’ creativity and learning interest in classification of living things at SMA Negeri 3 Tondano
Authors: Nukak S K , Rayer D J J , Maramis A A 
Published: July 2021

Abstract
The purpose of this study was to see student learning outcomes using the Project-Based Learning (PjBL) learning model combined with realia media on students’ creativity and learning interest in the classification of living things at SMA Negeri 3 Tondano. The form of research used is a quasi-experimental research design with the non-equivalent pretest-posttest control group design. The research subjects were students of class X MIPA III and X MIPA IV totalling 52 students. The instruments used are creativity rubrics, learning interest questionnaires, and multiple choice questions. The creativity rubric is used by researchers to assess creativity during the learning process through indicators of student creativity, namely fluency, flexibility, authenticity and detail. Students’ interest in learning questionnaires were filled in by students to assess the extent of students’ interest in learning and were given multiple choice questions that were used to measure student learning outcomes whether they experienced differences in grades in the control and experimental classes. The results showed that there was an increase in learning outcomes in the experimental class for the pre-test 8.00 and for the post-test 10.84 with students’ creativity in working on realia media (herbarium) where the assessment was based on four indicators, 75% fluency in good category, 60% flexibility in sufficient category, Originality 88% with very good category and 66% elaboration with good category. Creativity also assesses the Realia Media Making Practicum Report (herbarium) based on four fluency indicators reaching 70% in the good category,
Description and analysis of physics process on island hilly land for learning the availability of clean water for junior high school students
Authors: Marianus M , Laira A 
Published: July 2021

Abstract
The surrounding environment has many facts and phenomena that teachers can use as a learning resource for students. The characteristics of land and process physics the inclusion of rainwater into the surface of the soil can be excavating physical concepts to become learning materials. This research aims to measure, analyze and describe the process of physics, infiltration and erosion surfaces and design and implement learning activities outside the classroom. This research uses methods of descriptive analysis. The outdoor research shows that the fastest infiltration process is on grass fields and the largest erosion potential on the open land. The results of the infiltration and erosion measurement of the surface are connected with the concept of science based on the fact phenomenon, implemented to the students with a form of assessment of the process ability and learning group achievement of students seen in the average results, as for the level of diversity of score variation between facts and the overall phenomenon seen from the value of variances. The results of this study became a teaching material as a supporter of science learning design that utilizes the environment in the form of thematic learning.
The development of Geogebra-assisted mathematics learning media on geometry of space flat-side of cubes and blocks
Authors: Pakaya A , Machmud T 
Published: July 2021

Abstract
The purpose of this research is to develop the mathematics learning media assisted by Geogebra on Geometry of space flat-side of cubes and blocks. This study uses the ADDIE development model, which are Analysis, Design, Development, Implementation and Evaluation. The subjects of this study were students of class VIII SMP. The results of the study based on the validation of media experts and material experts show that this Geogebra-assisted learning media is appropriate and suitable for use in the mathematics learning process. Meanwhile, based on the evaluation by the teacher, this developed media achieved practical criteria. The overall student response to this learning media is in the very positive category with a percentage of 87.1%. Thus it can be concluded that the Geogebra-assisted mathematics learning media is feasible, valid and practical to be used in mathematics learning on geometry of space flat-side of cubes and blocks.
Numerical solution for system with Atangana-Baleanu-Caputo derivative: An influenza epidemic model
Authors: Purnomo A S , Darti I , Suryanto A 
Published: July 2021

Abstract
In this work, we discuss the fractional three strain influenza epidemic model with vaccination for strain 1 and awareness of strain 2. We use Atangana-Baleanu in the Caputo sense. We show that the model has a unique solution, and we perform the numerical simulation with various values of derivative order. It is shown that by decreasing the value of the derivative order, the maximum value also decreases.
Use of the four-tier diagnostic test with PIMCA model on learning of microscope
Authors: Lampeang N S , Mondolang A H , Tumangkeng J V , Makahinda T , Umboh I , Poluakan C 
Published: July 2021

Abstract
In learning physics, students often find misconceptions. This research aims to determine misconceptions on the subject of an optical microscope by using the four-tier diagnostic test with the PIMCA model (Presentation, idea mapping, conceptualization, and assessment formative) which was introduced and developed by Cosmas Poluakan. The method used is the One Group Pre-test – Post-test Design with 24 respondents as prospective physics teacher’s students at the Department of Physics, Manado State University. The instrument used is a test instrument in the form of a (four-tier diagnostic test). The research started with the pre-test, the implementation of the physics learning followed the 4 steps of the PIMCA model and ended with a post-test. The results showed a pre-test average value of 45 and the average post-test value of 93. Based on the research results, it is shown that the learning outcomes of the students with the PIMCA MR-SR learning model increase on the subject of the optical microscope.
Phyphox application with PIMCA learning model
Authors: Mayampoh L B , Tulandi D A , Rende J , Poluakan C , Komansilan A 
Published: July 2021

Abstract
Research has been to do related to the experiment of Doppler effects using the phyphox application with the PIMCA learning model. Online laboratories will be the solution in the era of the Covid-19 pandemic, which still requires students to learn from home. PIMCA learning model, introduced by Cosmas Poluakan, is go together by experimental steps with the Phyphox application. The purpose of this research is to describe the ability of students to understand the concept of the Doppler effects through Doppler effects experiments. The research method begins with preliminary tests and followed by conduct the experiments with Phyphox after the PIMCA model step. The research was conducted in the physics department of Manado State University on odd semester students. The results showed that the average percentage of pre-test results was 28.125%, while the average percentage after the test was 78.125%. These results show that by doing the Phyphox experiment with PIMCA learning, students can improve their mastery the concept of Doppler effects. The observations also showed that experiments with the Phyphox application with PIMCA model learning steps could be carried out individually. The implications of this study makes it possible to carry out individual experiments at anytime and anywhere.
The use of the MR-SR based PIMCA learning model in eye as optical tools subject
Authors: Mamengko C Q , Poluakan C , Mondolang A H , Taunaumang H , Mongan S W 
Published: July 2021

Abstract
The learning model has long been the focus in almost all research on physics education. Research was carried out on the physics learning model in the subject optical tool. The purpose of this study was to find out learning outcomes using the PIMCA learning model (Presentation, Idea Mapping, Conceptualization, and Assessment Formative) introduced and developed by Cosmas Poluakan. This research method uses the group pretest-posttest design. This research was conducted at the Manado State University Department of Physics with 24 students as respondents. The data collection instrument was a test. The research procedure started with the pre-test, followed by the implementation of physics learning according to the four steps of the PIMCA model, which ended with a post-test. The results of the data analysis gave an average of 43.75 before the test and 77.08 after the test. The results of this study show that student learning outcomes increase in optical eye subject. The results showed that the MR-SR-based PIMCA learning model was very effective in the physics learning process of eye as an optical tool subject.
Seismicity of Suwawa Timur area based on analysis of earthquake: the depth and magnitude
Authors: Ponto N F , Manyoe I N , Zakaria S A P , Usman M M , Sumarjis S A I 
Published: July 2021

Abstract
North Sulawesi is an area close to the earthquake source due to tectonic processes such as active faults. This study aims to analyze the earthquake in Suwawa Timur from the earthquake depth and magnitude data. The method used in this research is a qualitative method by collecting and processing earthquake data. The analysis was carried out by creating a seismicity map of the Suwawa Timur area. The map shows that the earthquake points in Suwawa Timur are at shallow earthquakes (0 - 70 km) and moderate earthquakes (70 - 300 km). Shallow earthquakes are usually sourced from active seismic movement activity. Lithological conditions and structural geology affect the magnitude and depth of the earthquake value. Zonation map relates to the epicenter point of Suwawa Timur. Suwawa Timur is dominated by minor earthquakes (0.0 - 3.9), light earthquakes (4 - 4.9), and there is one point of a moderate earthquake (5 - 5.9).
Geological study of Pantai Indah for geotourism development based on geological observation and assessment of science, education, tourism and the risk degradation
Authors: Arifin Y I , Manyoe I N , Napu S S S 
Published: July 2021

Abstract
Gorontalo has geological diversity that can be developed for geotourism. One of the tourist destinations of Gorontalo that has geological features is Pantai Indah. This study aims to examine the geological features in the Pantai Indah area based on the assessment of the value of science, education, tourism and the risk of degradation. The method used is geological observation and geological feature assessment issued by the Geological Agency. The research’s results reveal that the landforms of Pantai Indah were composed of intrusion hills and marine plains. The lithology of the Pantai Indah area is granite and alluvial deposits. There is a geological structure that is indicated as a normal fault. The weighting of the criteria for the values of science, education, tourism and the risk degradation in the Pantai Indah area is 53.75%, 77.5%, 65%, 76.25%, respectively.
Analysis of fluid characteristics and estimation of geothermal reservoir temperature in Kaleosan Area, North Minahasa Regency
Authors: Polii J , Wantalangi W , Tambahani B , Ratumbuysang R 
Published: July 2021

Abstract
The appearance of manifestation characterizes the existence of geothermal potential. This research was conducted in the Kaleosan area of North Minahasa Regency, in North Sulawesi Province, Indonesian, which has a manifestation of hot water with a temperature of 90°C with pH of 6.89, and there are silica deposits around it, all of which are characteristics of a water-dominated geothermal reservoir. This research was carried out by analyzing the characteristics of the surface fluid samples of the Kaleosan hot water manifestations. Analysis of fluid characteristics using the Q-SO4-HCO3and Na-K-Mg. From the Q-SO4-HCO3diagram, it is found that the geothermal fluid in Kaleosan is a type of chloride. The high chloride content is thought to be due to the increase in geothermal fluids containing CO2and condensing in shallow aquifers. From the Na-K-Mg diagram, it is obtained that the Kaleosan hot springs are immature water where this manifestation fluid has undergone dilution and cooling by meteoric water during its trip to the surface. From the quartz silica geothermometer, the reservoir temperature estimate is 236.6°C, which indicates that the geothermal reservoir in the Kaleosan area is a high enthalpy geothermal system.
Vision-based Position estimation and Indoor scene recognition algorithm for Quadrotor Navigation
Authors: Anbarasu B , Anitha G 
Published: July 2021

Abstract
In this paper, an effective and simple Grid based vanishing point detection position estimation algorithm and Enhanced GIST descriptors based indoor scene recognition algorithm for navigation of MAV in indoor corridor environment is described. Two different classifiers, k-nearest neighbour classifier and support vector machine is employed for the categorization of indoor scenes into corridor, staircase or room. Indoor scene classification was performed on Dartaset-1. In the training phase of the indoor scene recognition algorithm, GIST, HODMG and Enhanced-GIST feature vectors are extracted for all the indoor training images in the Dataset-1 and indoor scene classifiers are trained for the extracted image feature vectors and assigned image labels of the indoor scenes (corridor-1, staircase-2 and room-3). In the testing phase of the indoor scene recognition algorithm, for each unknown test image frame GIST, HODMG and Enhanced-GIST feature vectors are extracted and the indoor scene classification is performed using a trained scene recognition model. The proposed indoor scene recognition algorithm using SVM with Enhanced GIST descriptors produced high recognition rates of 99.33% compared to the KNN classifiers. After recognizing the indoor scene as corridor, the MAV has to estimate its position based on the detection of vanishing point in the indoor corridor image frames. Experimental results show that the proposed method is suitable for real time operations.
Development of quadruped walking robot with passive compliance legs using XL4005 buck converter
Authors: Wong L H , Sivanesan S , Faisol M F A , Othman W A F W , Wahab A A A , Alhady S S N 
Published: July 2021

Abstract
A quadruped walking robot has an advantage on uneven terrains. In a real-world application, robots can carry heavy loads and can scout in a dangerous area. The main disadvantages of walking robots are relatively slow and high energy consumption. In recent years developed quadruped robots are mimicking several kinds of mammals. Bio-inspired mechanisms are helping to improve the overall performance. The implementations have reduced energy consumption, enhance stability, and a more comprehensive range of locomotion—this article introduces a quadruped robot with passive-compliance three segments’ legs. The leg compliance is implemented by adding an elastic spring to the leg. From the experiment conducted, the fabricated quadruped walking robot’s average walking speed is 0.06850 m/s.