bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of the PIMCA model to learning convex mirror
Authors: Reskin S , Silangen P M , Tumangkeng J V , Poluakan C , Londa T K , Mondolang A H 
Published: July 2021

Abstract
Learning in the 4.0 era requires various learning models, one of which is the MR-SR based PIMCA learning model (Presentation, Idea Mapping, Conceptualization, Assessment Formative) which presents the same concept in several formats. This study aims to determine the increase in student learning outcomes before and after implementing the MR-SR based PIMCA learning model introduced and developed by Cosmas Poluakan. The research method used of One group pre-test post-test design. This research of conducted in the Department of Physics, State University of Manado, with 29 student respondents. The research process begins with problem formulation, management, analysis of data, and conclusion. The results of the data analysis showed that the average score before the test of 20,69 and the average score after the test is 72,41. With a maximum value of 75, a gain of 0.9 is obtained. This means that there is an increase in learning outcomes in the high category because g > 0,7. The results of this study indicate that the MR-SR based PIMCA learning model can improve student learning outcomes in mastery of physics concepts.
Students learning difficulties in understanding the Lorentz force
Authors: Rettob R J , Poluakan C , Tulandi D A , Mongan S W , Polii J 
Published: July 2021

Abstract
Research has been carried out using the PIMCA learning model introduced by Cosmas Poluakan. The aims of this study is to describe the learning difficulties of the third semester students of Physics Education study program, in understanding the Lorentz force concept through learning using PIMCA learning model based on MR-SR (multiple representations - semiotic source). The research method is a descriptive analysis method, with the procedure beginning with giving a pre-test, then following the 4 stages of PIMCA learning. The results showed that the average of pre-test results was 7% and the average of post-test results was 37%. These results indicate that even though there is an increase in the average of mastery the Lorentz force concept, generally students still have difficulty in writing down the complete vector magnitude, determining the relationship of force, electric current and magnetic field in a three-dimensional coordinate system and also need to be given more time so that students more freely explore the concept of Lorentz force. The results of this study recommend that in order to understand the Lorentz force concept, the use of the PIMCA model needs to be accompanied by giving more practice questions, and doing virtual practicum.
Development of two variable linear equation system learning development with a problem-based learning model
Authors: Lainata R P , Damai I W , Pesik A 
Published: July 2021

Abstract
This study aims to produce a two-variable linear equation system learning tool using the Problem Based Learning model for students of Santa Rosa De Lima Tondano Catholic Middle School. This research method is a descriptive method. At the research, development stage, the device development model used in this study was a modified 4-D model. The learning tools developed are the Learning Implementation Plan, Student Activity Sheets, and Evaluation of Learning Outcomes. Based on the results of the descriptive analysis, it was found that the development of the Problem Based Learning model of learning produced good learning tools because it met valid criteria based on expert opinion, the ability of teachers to carry out learning was also good, Students were active during the learning process, students gave positive responses to learning, and evaluation of results. Learning meets the criteria of valid, sensitive, and reliable. Based on the descriptive analysis, it can be concluded: (1) The development research carried out at Santa Rosa De Lima Tondano Catholic Junior High School with the research subjects being students of class VIII in the 2019/2020 school year has produced learning tools that are valid, practical, and effective after being tested and through the process. Content validation. The tools developed are the Learning Implementation Plan, Student Worksheets, Evaluation of Learning Outcomes with the Problem Based Learning model on the material of the two-variable linear equation system, (2) Validated learning devices produce data with valid criteria, (3) In terms of practicality, the tool, learning is in the very practical category according to student responses or responses, and (4) Effective learning tools in terms of the Teacher Readiness Level which are in the very good category and the percentage of classical completeness is in the very good classification.
Analysis of ecotourism potentials of Botutonuo Beach in Bone Bolango Regency, Gorontalo Province
Authors: Eraku S , Hendra H , Permana A P , Syamsurizal A , Baruadi N 
Published: July 2021

Abstract
The ecotourism potential of the beach area in Bone Bolango regency, if developed optimally, is very high. Ecotourism development is a tourism activity that incorporates the principles of environment-friendly attitudes. It emphasizes the aspects of nature conservation, empowerment of the local community’s economic, social, and cultural competence, as well as education. Botutonuo beach is among the coastal areas in Bone Bolango regency with high ecotourism potential. The present study aimed to analyze the ecotourism potential of Botutonuo beach based on the physical, sociocultural, economic, and institutional parameters. It employed an ecological-spatial approach by involving the Geographic Information System (GIS). The research method comprised field observation; the data were retrieved by field measurement, interview, and questionnaire. The data were analyzed in a quantitative manner with descriptive statistical analysis, scoring analysis, and qualitative descriptive analysis to result in the final evaluation score of the site’s ecotourism potentials. The analysis result on the site’s physical parameters (vegetation, environmental hygiene, materials, and water brightness) indicated that the Botutonuo beach has high potential. The same criteria were also given in other physical parameters that consisted of distance, facilities, accessibility, and site attractiveness. Moreover, high ecotourism potential was also shown by the site’s other parameters (institutional, sociocultural, economic, and environmental parameters). The site’s high ecotourism potential was due to the beach’s characteristics. The site is a sandy beach that is naturally formed. On top of that, the community’s contribution to constructing tourism facilities was influential in boosting the ecotourism potentials.
Surface and subsurface analysis based on the geological structure and electrical resistivity Data in Gorontalo Outer Ring Road (GORR), Huidu Utara
Authors: Robot L C , Manyoe I N , Arifin Y I , Saputra M J A , Bilgais A A , Abdullah R A , Napu S S S 
Published: July 2021

Abstract
Gorontalo is one of the areas prone to earthquakes because Gorontalo has a geological structure, which is a fault. This fault has a northwest-southeast direction that cuts across the Gorontalo City area and crosses Lake Limboto. The research objective is to determine the direction of subsurface geological structures and analyze the impact of geological structures on the GORR development infrastructure. The research method is divided into several stages, namely, the preparation phase, the stage of data collection and the stage of data processing and analysis. The preparatory phase includes literature studies and regional geological studies. The next step is data collection in the field including lithology, geomorphology and structural data. And finally, data processing and analysis uses several classifications. Based on surface data, there are several types of lithology such as tuff, clay, and limestone which have started to decay. Geological structure in the form of fault / normal fault with northwest-southeast direction is also found in the study area. Based on subsurface data there are three types of layers namely clay sand, alluvial, and sandstone which are determined based on the classification of rock and mineral resistivity. Subsurface data also shows faults, in the same direction. And based on the vertical resistivity cross section shows the slip area seen from the resistivity value of the layer above it has a lower value than the layer below, it is very possible for landslides because the layer is more easily eroded and flowed, plus supported by a fairly steep field and rainfall in the GORR Region high enough.
Design of hoeckens linkage based walking robot with MPU6050 IMU as navigation sensor
Authors: Ooi K R , Rosli M A A , Latiff A R A , Othman W A F W , Alhady S S N , Wahab A A A 
Published: July 2021

Abstract
This article introduces a 4-legged walking robot using Hoeckens Linkage. In some applications, a legged robot is preferred if compared with a wheeled robot because it has a more considerable degree of freedom and can move on uneven surfaces. Hoeckens Linkage is one of the linkages that can convert rotational motion to approximate straight-line motion, which allows the robot to move faster than other linkages. This robot is designed using SolidWorks to simulate the Hoeckens linkage path, and its structure is built using 3D printed parts. Arduino Mega was used as a microcontroller to process the feedback signals so that the robot able to move in the desired pattern. The hall effect encoders were used so that DC motors always rotate with the desired RPM regardless of walking surfaces and power supplied to them. MPU 6250 gyro sensor also be used in this walking robot as a navigation sensor. Gyro sensor allows the robot to travel in a straight line or rotate a certain degree by computing yaw value from its raw data and DC motors’ control speed using a P controller. The speed average of the fabricated robot is 3.00 m/min.
Development of Theo Jansen inspired all-terrain quadruped mini mobile robot
Authors: Roslee H H , Tew J C , Ismail M A U , Adli A A A , Othman W A F W , Wahab A A A , Alhady S S N 
Published: July 2021

Abstract
This paper discusses an ongoing project of building a quadrupedal robot designed for operations in rugged terrain by using Theo Jansen’s linkage mechanism. The robot is unguided, but it is still able to maintain the ability to evade obstacles and change its course automatically. The robot utilizes Jansen’s linkage mechanism for all four legs to mimic a four-legged animal’s movement and stability. Due to the smooth motion nature, it can provide a very high degree of stability, enabling it to carry items that require a smooth and stable motion. Jansen’s linkage mechanism is also easy to operate and design; a pair of legs could also be powered by one rotational movement, reducing overall energy consumption. The quadrupedal robot’s goal was to maintain a smooth and stable motion even when navigating obstacles and could ensure item delivery safety. The fabricated robot’s average speed is 0.02178 m/s, and the power consumption is 5.71 W.
Neural Network Based Inverse Kinematic Solution of a 5 DOF Manipulator for Industrial Application
Authors: Aravinddhakshan S. , Apte Sudhanv , Akash S M 
Published: July 2021

Abstract
This paper showcases the application of Neural Networks for manipulation. Algorithm based approaches work well although are limited in their ability to find solutions sometimes. The tedious task of programming a manipulator can be replaced with Neural Networks which can learn how to solve Inverse Kinematics. We present a pick and place scenario using Neural Network to solve Inverse Kinematics. Their ability to learn from examples make them a good candidate to solve the inverse kinematics problem. For this purpose, a unique configuration of 5 DOF arm is designed to suit industrial needs. To train the network, a dataset of random joint positions is created and forward kinematics is derived for the corresponding joint angles. The joint variables are then fed to a path planner in Simulink and then the process is simulated.
Performance and ferrography analysis for determining the wear of an external gear pump
Authors: Dhote Nihal , Khond Mohan P. , Sheikh Shadab , Patange Abhishek D. 
Published: July 2021

Abstract
The present work employs an experimental and analytical method to investigate the wear of an external gear pump. The first part of experimental method involves, running the gear pump on test rig for set number of working hours and the performance curves are plotted for studying any variation during the course of experiments. In the second part of experimental method the circulated oil was studied for any contamination. Contaminated oil is an indication of wear which is to be detected using ferrography. The gear pump therefore was run for maximum number of hours to study the variation in performance of gear pump due to wear during the running operation. The oil samples were collected after the pump has been run at a set discharge pressure for a certain number of hours. Wear was expected to occur to detect the presence of ferrous particles for checking whether the gear pump components have worn out after the operation. Direct ferrogram reading machine was used to detect small and large particle size concentration and based on this the wear severity index was found out analytically. Also the necessary conclusions using graphical trend are obtained between particle size concentrations and wear severity index with respect to time.
Intelligent manufacturing in the context of industry 4.0: A case study of siemens industry
Authors: Kishorre Annanth V , Abinash M , Rao Lokavarapu Bhaskara 
Published: July 2021

AbstractAt present, the methods by which products are designed and manufactured are advancing at a rapid pace just before our eyes. The contemporary period known as Industry 4.0 is realizing an evolution from manual to digital operations and it has great importance to manufacturers throughout the world. In the context of Industry 4.0, intelligent manufacturing is a paradigm enabled for the integration of smart sensors and controls. Traditional manufacturers are exploring intelligent manufacturing approaches (Machine Learning/Artificial Intelligence, Internet of Things, Digital Twin, etc.) to improve their competitiveness, but lack in implementing them. This paper reviews the intelligent manufacturing approaches and extends a study on how a manufacturing production plant applies its intelligence in executing these approaches to transform from discrete manufacturing to intelligent manufacturing. The case study initiates the implementation of Siemens manufacturing production plant into a model based on intelligent manufacturing, thereby transforming the whole into an intelligent manufacturing industry. A broadened path about the implementation of intelligent manufacturing in this industry is outlined. In the operation of selecting these approaches, the manufacturing plant continuously mechanizes its products, informatizes its management, and digitizes its operation.
A Review on Design and Efficiency Improvement of Worm and Worm Wheel of a Gear Motor
Authors: Honkalas Rahul , Deshmukh Bhagyesh , Pawar Prabhakar 
Published: July 2021

Abstract
Geometry and operating standards determines that worm drives are critical components in and of applications within the power transmission industry. In one reduction point, it is used in large drive ratios with compact assembly dimensions. Worm and worm wheels are provided with a quiet operation owing to the movement of slipping between the worm and worm wheels tooth flanks. Its efficiency depends significantly on the thickness of the lubricating film, which in turn is dependent on various operating parameters. The different researchers have performed detailed research in the field of worm and worm wheel construction. Many researchers have developed and suggested methods for the prediction of worm and worm wheel gearbox performance with respect to different factors such as tribology, analytic and geometry. This paper includes a comprehensive literary analysis to obtain thorough knowledge of trends in the fields of worm and worm gears.
Intelligent Shophouse System
Authors: Ping Chew Rui , Wahab Aeizaal Azman A. , Bt Mohd Sabri Nurul Farah Aina , Bin Shairunizam Syazwan Iman , Mohamad Nazari Mohamad Haikal Bin , Nazli Alhady Syed Sahal , Wajdi Othman Wan Amir Fuad 
Published: July 2021

Abstract
An Intelligent Shophouse System has been developed and built which can applied in most of the small-scale stores such as convenient store and retail pharmacy. By implementing IoT, efficient customer monitoring systems enables to limit the customers from enter to the store and practice hygiene environment within the store. Compromising of different sensors which capable to detect the customers that come into the stores and track for the number of customers inside the store. The information from sensor help to count on for the customers and display the available spaces at outside the premise. An ESP32 is used to allow bidirectional communication between sensors and MIT application. The data from sensors will always updated into the IoT Cloud and users able to view the number of customers inside the premise in real time, while the users able to adjust the limitation of customers at anytime. Contactless hand sanitizer implemented to ensure hygienic of the customers and reduce spreading of virus. This is beneficial for users especially for shop owners which would like to limit and monitor number of the customer inside the store without being in contact with them and help to reduce the virus in their surroundings.
Predictive Handoff Management in Vehicular Networks Using both Weight Value Based and K-Means Algorithm Based Clustering Algorithm to Meet Desired QoS
Authors: Ramalingam M , Vinothkumar S , Varadhaganapathy S , Ramya P 
Published: July 2021

Abstract
Vehicular Ad-hoc Networks is a interesting and key research area which have more number of issues which needs immediate attention when moving towards intelligent transportation system. In this research work, we have proposed a new mechanism of IP scheme which highly helps in handover of vehicle from one RSU to RSU. RSU is playing a key role in delivering of one vehicle from its range to other RSU. Here, how Quality of service can be handled when unexpected handover happens between RSU. So, A new mechanism to predict the vehicles which may enter into handoff process based on its mobility and GPS location. This proposed IP scheme and the predicted handoff is tested through two protocols called Weighted Clustering algorithm and also with Mutated K-Means algorithm to test the performance. The results shows better results to maintain the QoS demands of the vehicle when the handoff is predicted in prior.
The Amalgamation of Internet of Things and Recommender Systems
Authors: Sharma Sheetal , Gupta Kamali , Gupta Deepali 
Published: July 2021

Abstract
The Internet of Things (IoT) has upgraded the things and regular devices around to smart devices that can interact, share information and collaborate. With the plethora of IoT products, solutions, and workflows available online, the consumer finds it challenging to find the most suitable one. IoT, when integrated with the recommender system, can extend its features to the new space of innovation, usability, viability, and success. Various recommendation techniques can be employed to support users to get the best fit services, applications, sensors, products, and IoT workflows. This article will steer via the basic introduction of the IoT, its building blocks, hardware, software, applications, and its challenges. It analysed scientific articles indexed in the Scopus database with help of biblioshiny tool based on Rstudio software. The analysis is directed on 260 articles to figure out the trending amalgamation of Recommender System with the Internet of Things. Results point to fact that personalized recommendations for IoT-based applications are the most worked on topic by the authors.
Reviewing Trust Issues in Cloud Computing
Authors: Singh Amanpreet , Kaur Amandeep , Gupta Deepali 
Published: July 2021

Abstract
Cloud computing is a technique to minimize the use of hardware and software infrastructure digitally for the dynamic delivery of services. There are numerous components of current cloud computing models: end-user computers, networks of contacts, access management systems, and infrastructures of applications. Different organizations of cloud computing are providing various policies for handling tasks of cloud vendors and consumers. During task migration, whenever data is transferred over the cloud from one node to another; then the sink node should be trustworthy. It becomes a challenging task to create reliable and trustworthy cloud platforms. As the base from the concept of cloud computing, many authors proposed data privacy, security problems, security challenges, trust models, trust issues, challenges of trust management In this paper, we highlight some of the trust issues faced by both cloud vendors and cloud customers while using cloud services.
A Comprehensive Study on Offline Signature Verification
Authors: Sharma Neha , Gupta Sheifali , Mehta Puneet 
Published: July 2021

Abstract
Handwritten Signatures are special types of behavioural biometric which are used in many applications such as banks, credit cards, passport, check processing, and financial documentation, etc. Verification of these signatures is a challenging task especially in the case of offline where there is no information of signing process. So there is a need for a system that can distinguish between the genuine and the forged signature to avoid the chances of theft or fraud. Many types of researches have been done in this area in the last three decades. Earlier this task was performed by handcrafted features and recently deep learning techniques have been employed for this task, but still, there is a chance of enhancement in the accuracy of the system. In this paper, we present a comprehensive study of the work done in the field of offline signature verification and also the challenges which are still present in this area.
A Comprehensive Study of Recommender Systems for the Internet of Things
Authors: Mudita  , Gupta Deepali 
Published: July 2021

Abstract
Internet of Things (IoT) is an advancing technology that is a network of many smart devices connected together to provide services to various application domains such as smart offices, health monitoring, agriculture, etc. IoT-based recommendation technologies are becoming one of the key requirements that will recommend future IoT solutions. A review of existing recommendation technologies in the vibrant field of IoT is discussed in this paper. The main aim of this paper is to present a comprehensive analysis of existing literature on recommendation approaches. Several issues of applying recommendation systems to IoT are also discussed. Nearly 1000 research papers have been considered for analyses which are published by ACM, Springer, IEEE and Science Direct from 2011 to 2017. Finally, the recent research trends are spotted for future researchers intended to work in the recommendation-based IoT domain. Moreover, this paper also envisages the future of the Recommender System (RS) that opens up the newest research directions for young researchers.