bluuebunny/crossref_metadata_2025_split huggingface dataset:
Student performance assessment strategies by involving peer students
Authors: Setemen K , Purnamawan I K 
Published: March 2021

Abstract
One of the important factors in achieving students’ learning outcomes is the implementation of assessment on the learning. It is vital to uncover or obtain information related to the students’ achievement of the competencies comprehensively. Therefore, data is needed as an item of evidence and basis for decision making regarding the student’s achievement of the competencies. To allow the students to demonstrate their competencies is one of the processes in collecting those items of evidence. Students demonstrating their competencies is a type of student performance. As a result, there is a need to engage with this performance assessment. The aim of the present study was to conduct the students’ performance assessment by using Google Form and the involvement of peer students. Google form is an alternative computer-based assessment. The application is easy to use with the availability of useful features. It is also relevant to be used today as learning and teaching are mostly conducted online. Based on the performance assessment that involved peer students, score distribution in every performance task given was born in the normal curve. The result showed that the involvement of the peer students in the performance assessment yields positive outcomes. It can be said that the involvement of the peer students in assessment guaranteed the objective assessment based on the given rubrics.
Identifying students’ learning difficulties in human and computer interaction course through the implementation of project based learning model
Authors: Damayanthi L P E , Sugihartini N , Damasanti I A R , Ryantini K T D 
Published: March 2021

Abstract
This study aimed at identifying students’ learning difficulties in Human and Computer Interaction course through the implementation of Project Based Learning model (PjBL model). PjBL Model has 6 stages, starting from giving essential questions, continuing with designing a project, writing the project implementation schedule, monitoring, carrying out the project product evaluation, and ending with carrying out the learning experience evaluation. The study used observation sheet, rubric and interview guide for collecting the data and descriptive qualitative analysis for analyzing the data. The collected data were reduced and presented and then analyzed to get some conclusions. The result of the study showed that it was still found out or identified that the students had difficulties in learning in Human and Computer Interaction course through the implementation of the PjBL model. However, the amount of the difficulties was not significant. The learning difficulties experienced by the students were caused more by an internal factor, namely the low motivation of the students as the result of their low interest in courses that contain programming and they tended to prefer a multimedia course. However, it was admitted by the students that Human and Computer Interaction course taught by the PjBL model had given them unique experiences. The students felt that there was an increase in knowledge from the problem-solving activities that they did, since they had a great opportunity to explore their abilities by themselves so that they had new knowledge and experience which made their learning activities better.
Development of housekeeping learning module based on e-learning
Authors: Budhyani I D A M , Angendari M D 
Published: March 2021

AbstractLearning module is needed because the use of a learning module can make learning activities more well planned. This study aims were (1) to describe the development of Housekeeping learning module based on e-learning, (2) to determine the feasibility of Housekeeping learning module according to the responses of content experts, (3) to determine the feasibility of Housekeeping learning module according to the responses of media experts, (4) to determine the feasibility of Housekeeping learning module according to the responses of students as a target test. This research is a development research using the ADDIE model. The research variable was the Housekeeping learning module and the data collection technique used a questionnaire. The analysis used was descriptive quantitative analysis. The results of this study are: (1) Housekeeping learning module based on e-learning using the ADDIE development model, (2) the content expert’s test showed that the learning module were in a very good qualifications with a percentage of 98.34%, (3) the media expert’s test showed that the learning module were in good qualifications with a percentage of 88% (4) the target test showed that the learning module were in a very good qualifications with a percentage of 90.44%.
The effectiveness of CIPP model’s implementation in secondary school
Authors: Santiyadnya N 
Published: March 2021

Abstract
This present study aimedat determining the effectiveness of implementing research councils in secondary schools. To determine the effectiveness of the implementation of the research council in preparing students to participate in scientific writing competitions, and the ability of students to innovate in research, it is necessary to do evaluation. The method used to evaluate the implementation of research boards in schools is the CIPP evaluation model. The use of CIPP model, the implementation of school research boards was evaluated in terms of context, input, process and product. This research was conducted at the Bali Mandara State Senior High School. The result of this research showed that, from a contextual perspective, was the legality of the existence of the research board in schools as indicated by the school’s decision letter regarding the research board. However, from the students’ point of viewthere were 140 students and teachers involved in research council activities, supported by assignments. Meanwhile, from a process perspective, the research council’s activities were carried out through extra-curricular activities. The last, in terms of products, the research council’s activities produce scientific work of students who were ready to take part in scientific writing competitions. There were 4 students whose research results succeeded in becoming Indonesian students’ research competency finalists and 6 students who passed the scientific writing competition.
The utilization of lady fingers banana flour into cake as creative product to empower the local ingredients
Authors: Masdarini L , Ariani R P , Ekayani I A P H 
Published: March 2021

Abstract
This research aimed at creating good quality cake made of lady fingers banana flour as a way to support the empowerment of local ingredients as well as the food shelf life. The target of this research was to gain a variation of cake made of lady fingers banana with good quality standard formula. Meanwhile, the specific targets were: (1) gaining an accurate formula of lady fingers banana cake, (2) gaining the quality of lady fingers banana cake seen from its volume, pore, aroma, texture, and taste through organoleptic test, (3) gaining feedback about the society’s taste towards the lady fingers banana cake. The data were obtained by observation using quality test observation sheet (organoleptic test) to 5 expert panelists and the taste test observation sheet to 15 people in the society. Then, the data were analyzed descriptively. The result shows that (1) the formulation of 75 % lady fingers banana flour was the best formulation for standard recipe of making lady fingers banana cake, (2) the variation of lady fingers banana cake had organoleptic quality in the rate of good in the aspect of volume, pore, aroma, texture, and taste, (3) the society liked the product of lady fingers banana flour from the aspect of volume, pore, texture and taste. Meanwhile, society shows that they quite liked the aroma of lady fingers banana cake.
Development of bit fruit extract (beetroot) as a natural color for tempe noodle products
Authors: Damiati  , Suriani M 
Published: March 2021

Abstract
This study aimed at obtaining tempe noodles by optimizing the natural coloring ingredients of beetroot extracts to support the empowerment of natural dyes as functional ingredients by: (1) Beetroot extract formulation in processing tempe noodle products, (2) Knowing the nutritional value of tempe noodle products using beetroot extract natural dyes, (3) Determine the quality (taste, color, and texture) of tempe noodle products using beetroot extract natural dyes. This was experimental research. The design of this study provided 150 ml, 100 ml and 50 ml beet extract formulations. While the data collection techniques were carried out through organoleptic quality tests with parameters, namely color, taste, and texture. There were 30 panelists involved. The data collected were analyzed descriptively. The results showed that: (1) tempe noodles with a 150 ml formulation of beet extract were quite preferred in terms of color and texture. (2) tempe noodles with formulation of 100 ml beetroot extract were preferred in terms of color, texture and taste. (3) tempe noodles with formulation of 50 ml of beetroot extract were quite preferred in terms of texture and taste, while in terms of color, thet were less preferred. The nutrient content (protein) with a 100 ml formulation of 27.355 gram was higher than the 150 ml (23.418 gr) and 50 ml (24.4108 gram) formulations. Thus optimizing the processing of noodle products using beet extract is a 100 ml formulation because it produces the best quality of taste, color, texture and protein concentration.
Processing mocaf into pie susu with the addition of super food ‘spirulina’
Authors: Ariani R P , Ekayani I A P H , Masdarini L 
Published: March 2021

Abstract
The purpose of this study was to obtain pie susu mocaf-spirulina products with local fruit varieties (pineapple and Balinese grapes). Mocaf (modified cassava flour) has characteristics similar to low protein flour and gluten free. Spirulina is a type of blue-green algae that is considered a super food because of its nutritional properties that are very good for health. The research method includes 1) experimental trials of the formula for mocaf spirulina pie susu, in the variation of the addition of spirulina to the formulation of mocaf pie susu 2) conduct an Organoleptic Test, with an instrument using the Visual Analog Score (VAS) for the Hedonic test (preference) 3) Perform an Organoleptic Test, with an instrument using VAS for the Hedonic Quality test (quality). The results showed: 1) obtained a pastry formulation (skin) of mocaf pie susu with the addition of 2.5 gr of spirulina (0.5% of the weight of the ingredients) ained mocaf pie susu formulation with the addition of 2.5gr spirulina to mocaf pie susu with pineapple and grape vla; 2) The level of preference for mocaf spirulina pie susu (pineapple vla and grape vla) is the color of the likes category, the texture of the likes, the aroma of the likes and the taste of the likes. 3) the quality level of mocaf spirulina pie susu (pineapple vla and grape vla) is greenish color, crunchy texture, pastry fragrant aroma and sweet taste.
A Study for taking an approach in Industrial IoT based Solution
Authors: Hassan Shakib Kazi , Faiza Neha Farhin 
Published: March 2021

Abstract
In present era demand for small and portable electronic devices which supports internet connectivity is increasing all around the world and across all industries. These IoT based devices are gaining popularity because of their ease of use. These devices also provide powerful interoperability and feasibility in almost all situation. We can use Internet of Things (IoT) as a great instrument for achieving the desire of connecting people and devices everywhere all the time and in all situations. IoT builds a network of different types of devices such as small handheld devices, vehicles, home appliances etc. that are connected together. This network is incorporated with small sensor nodes, wireless connectivity and actuators for collecting data from adjacent environment and transfer data seamlessly to the base station without any computer or human interaction. Though Internet of Things (IoT) is a primitive term which has greatly attracted the attentions of researchers and academicians it is now getting limited by a number of factors such as flexibility, interoperability, concurrency, scalability and addressing issues. In this paper we will discuss how to make approach when we will go for IoT based solutions considering several parameters such as cost effectiveness, profit generation, maintenance, security etc. In which projects IoT based solutions will be feasible considering. Its network infrastructure, architecture, processing power and scalability.
Power Quality Disturbance Classification based on Kalman filter and Adaptive Neural Fuzzy Inference System (ANFIS)
Authors: Kalyana sundaram P. , Girishkumar G. 
Published: March 2021

Abstract
The paper introduces a new method for analyzing and classifying various Power Quality (PQ) disturbances using Kalman Filter (KF) and Adaptive Neural Fuzzy Inference System (ANFIS). The variety of distortion waveforms are simulated on the test system using MATLAB software and various input features like amplitude and slope have been used in ANFIS classifier technique inorder to clasify the PQ disturbances. This is mainly achieved by implementing and training ANFIS classifier through the obtained features by KF method for disturbance classification. The results indicates that the KF based ANFIS method is clearly detected and classify the several PQ disturbance signals. The performance of the KF based ANFIS has been evaluated by comparing the results against KF based neural network and KF based fuzzy system.
Overview of Cognitive Radio Networks
Authors: Hassan Mohamed , Singh Manwinder , Hamid Khalid 
Published: March 2021

Abstract
Cognitive radio (CR) allows the best use of dynamic access to spectrum and wide spectrum diversity to mitigate spectrum depletion issues and fulfil huge wireless networking requirements. This paper also illustrates, discusses, and focuses on some essential applications, a proactive spectrum sharing strategy using full-duplex (FD) in the cooperative Cognitive Radio Networks (CRN).
Fuzzy based hierarchical optimized approach with connectivity in WSN using multiple conflicting factors for application in the supervision of pipeline
Authors: Rajpoot Prince , Dwivedi Pragya 
Published: March 2021

Abstract
Wireless sensor network presents a real-time system different from its traditional infrastructure, which comprises of sensor nodes have limited computation, energy and storage space. The main issue of WSN is to maximize the network lifetime of WSN as sensor nodes began to die after a certain interval of time. To resolve this issue many algorithms have been proposed keeping clustering as the best solution. The best cluster head selection has extremely minimized energy consumption. We have worked on a hierarchical algorithm which deals with fuzzy logic approach rooted on four parameters- a) Delay, b) Connectivity to Sink, c) Average Lifetime of Member Nodes, d) Standard Deviation of Lifetime of Members. We have used these parameters for data communication regarding the hazardous activities in the pipelining like: leakage of gas, petrol etc. This algorithm is for low computational sensor networks in nature where we can’t compute a lot. Connectivity confirms the effective data communication between CH to BS. We have shown a graphical rep The results and simulation depict the efficiency of the proposed algorithm with the base algorithm. A worthy increase in the existence of the network can be examined as compared to traditional ways of selecting the cluster head.
Tuning Neural Networks for Geofencing Applications
Authors: Eldho John George , Joseph Mamutil Rohit 
Published: March 2021

Abstract
Neural networks have been used in a wide range of applications such as Image processing, Object detection, Weather and Economic Forecast and many other areas where algorithms which could learn from data have been revolutionizing. This study elaborates on the usage of neural networks in the field of geofencing. Ever since the advent of satellite-based Maps, Geofencing has been mentioned as one of the key possible features. With the booming usage of smartphones and IoT based devices, Geofence has a key role to play in location based advertising, marketing, GPS tracking, etc. This paper explains how to use neural networks for detecting whether a point is in geofence or not. It is proved in this study that neural networks perform better over commonly used techniques such as the Ray casting method in some scenarios.
On Choosing Structure for a Machine Learning-based Reaction Force Predictor for Walking Robots
Authors: Zalyaev E , Savin S , Salikhzyanov A , Golousov S 
Published: March 2021

Abstract
This paper focuses on the topic of contact reaction prediction for walking robots, namely on the analysis of performances on different structures of the machine-learning-based predictors. Predicting reaction forces is important due to the fact that it can allow us to retrieve a simplified model of the contact scenario, as was proposed in the literature preciously. This allows to turn the problem of contact model identification into a data collection and processing problem. In order to do it effectively, both a data compression (feature extraction) and regression strategies might be used. This research provides an analysis of both with respect to the discussed problem.
An Automated Retrofittable Street Light Solar Panel Cleaner
Authors: Kanna Sivakumar Vishaal , Mani Hema Vishnu , Krishnapuram Seetharam , Saha Shubhodeep , Bharadwaj Ajay , Surya Kumar Rohit , Ramanan Sundara Raman Raja 
Published: March 2021

Abstract
Solar energy is the most abundant and constant source available, across the surface of the Earth. A Solar panel or PV module is an essential component that is being used for the conversion of sunlight directly into direct current (DC) electricity. A major drawback of solar panel system is its extremely low efficiency of conversion of light energy to electrical energy and its further drop when there is laxity of care and maintenance of the panels. This project is focused on designing and developing a sensor-based street light solar panel cleaning mechanism which can be added as a retrofit and requires minimal human interference to operate. The water-based system with a pair of wiper blades is mounted on a pair of lead screws which are rotated by a pair of servo motors which are powered by current drawn directly from the panel. The water is supplied by a tank fixed on the underside of the panel and a catchment dugout at the bottom end of the panel allows the run-off water to get collected after the cleaning operation. The system operates based on the information collected from a timer, voltage sensor, current sensor, and humidity sensor. The operational frequency of the system is based on the information provided by the sensor and varies based on the accumulation rate of particulate matter on the panel and the reduction in transmittance because of the same.
Extraction of handwritten and printed text from a form
Authors: Shah Aayush , Doshi Neel , Shah Jainam , Goel Kunal , Raut Purva 
Published: March 2021

Abstract
A lot of offline information or request forms available at certain government firms and similar companies use text boxes to fill the information. The data from these manually filled forms has to be manually filled in the machine database requiring a person to type the data. The proposed system uses a blend of machine learning technologies to extract the text data from such forms and automatically convert it to text that can be processed and understood by the computer.
Planning Adaptive Brachistochrone and Circular Arc Hip Trajectory for a Toe-Foot Bipedal Robot going Downstairs
Authors: Bhardwaj G , Mishra U A , Sukavanam N , Balasubramanian R 
Published: March 2021

Abstract
A novel efficient downstairs trajectory is proposed for a 9 link biped robot model with toe-foot. Trajectory of hip joint plays a significant role towards stability of the robot reason being the center of mass which lies approximately close to the hip position. Brachistochrone is the fastest descent trajectory for a particle moving only under the influence of gravity. In case of downstairs movement of robot, methodology for brachistochrone and circular arc trajectories for hip joint is developed. Here, an adaptive trajectory planning algorithm is implemented along with unsupervised artificial neural network (UANN) based inverse kinematics solution, so that biped robots of varying link lengths, masses can climb down on varying staircase dimensions. Zero Moment Point (ZMP) based COG trajectory is considered and its stability is ensured. Cycloidal trajectory is considered for ankle of the swing leg. Parameters of both cycloid and brachistochrone depends on dimensions of staircase steps. Hence this paper can be broadly divided into 4 steps 1) Developing ZMP based brachistochrone and circular arc trajectory for hip 2) Cycloidal trajectory planning for ankle by taking proper collision constraints 3) Solving Inverse kinematics using UANN 4) Comparison between both proposed hip trajectories. The proposed algorithms have been implemented using MATLAB®.
Structure design and Strength check of the Re-import section of a continuous transonic wind tunnel
Authors: Xie Qiang , Yin Yongtao , Li Yin , Cai Qingqing , Luo Yuanqiang 
Published: March 2021

Abstract
In order to accelerate the development of large transport aircraft, it is important to build a continuous transonic wind tunnel. The re-import section, acted as a key part of the wind tunnel, plays an important role in maintaining the stability and balance of the wind tunnel. On this account, the structure design and strength check of the re-import section is investigated. Firstly, the 3-D model of re-import section is established based on NX software. Secondly, the layout of stiffeners is optimized to solve the bearing problem of components. Finally, the strength check of the re-import section is carried out based on ABAQUS software to validate the effectiveness of the designed structure.
Design of microcomputer anti-misoperation alarm system for substation based on intelligent Agent
Authors: Wang Chao , Zhang Bo , Ma Xiao 
Published: March 2021

Abstract
The traditional substation microcomputer anti-misoperation alarm system has some problems, such as too long judgment time and low alarm accuracy. Therefore, this paper designs a kind of substation microcomputer anti-misoperation alarm system based on intelligent Agent. BP learning algorithm is used to judge the wrong operation of power station microcomputer and determine the error coefficient of substation. Through intelligent agent technology, the substation maloperation alarm and Substation Microcomputer anti maloperation alarm system are designed. In order to verify the effectiveness of the design system, a comparative experiment is designed. The results show that the designed system has high processing efficiency and high alarm accuracy.
Outdoor terrain recognition based on transfer learning
Authors: Zeng Song , Huang Hao , Shi Zhenyun 
Published: March 2021

Abstract
Terrain recognition exerts an extremely important role in outdoor mobile robot gait planning, speed control, environment perception, etc. Compared with the traditional terrain recognition process that uses color, texture, and other underlying features to describe terrain images, the present study starts from the perspective of transfer learning. MobileNet and DenseNet are employed for high-level feature extraction, and the voting integrated learning algorithm is used to classify high-level feature data sets. In the meanwhile, we have established an outdoor terrain data set that conforms to the traveling process of outdoor mobile robots, and processed the collected video data with key frames and sliding windows. The accuracy of the classification results reached 97%, basically satisfying the needs of actual terrain recognition.