bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of Sand Proppant and Its Improvement via Polyurethane Coating
Authors: Fitrah Abu Bakar Noor , Norhidayah Abdullah Zawawi Siti , Mohd Zin Rohani , Abdul Rahman Norazah , Kassim Shaari Norin 
Published: July 2024

Characterization of sand as proppant, its improvement using a simple polyurethane coating technique without heating and its coating evaluation using impingement test were investigated. Sand samples were obtained from eight locations in Malaysia beaches. Several important properties of proppant namely particle size distribution, density, turbidity, acid solubility, roundness and sphericity, and crush resistance were determined. Sample from Pantai Bachok, Kelantan showed the best characteristics of proppant that complies with the specifications set by API and ISO except for acid solubility and crush resistance. The proppant sample size of 20/40 mesh size was with density of 1.67g/cm3, turbidity of 162 FTU, acid solubility of 2.8%, roundness and sphericity of 0.46 and 0.7, respectively. For crush testing, all sand samples can only withstand pressure up to 2000 psi. Polyurethane (PU) formulated from palm oil-based polyols has been used to coat the sand particles to improve acid solubility and crush resistance of the beach sand.Â The PU-coated sands from Pantai Bachok, Kelantan showed better acid solubility of only 0.38% and crush resistance of approximately 10% at 4000 psi than the uncoated ones.Â The impingement test showed that PU-coated sands gave less impact towards metal target and lower metal losses.Â Â
Author Identification for Telugu Classical Poems
Authors: Pandian A. , V.Ramalingam V. , Manikandan K. , Jeevan Reddy V. , Sai Krishna Pavuluri 
Published: July 2024

Artist finding is the errand of distinguishing the creator of a given test from an arrangement of suspects. The free worry of this errand is to characterize a fitting portrayal of test that catches the composition styles of creators. In this task, weka based machine learning instruments are utilized for distinguishing proof of creator for highlight extraction of reports spoke to utilizing variable size character n-grams. We wrote our own java program to extract the features like number of words, sentences etc. From, the poem which in turn fed as input to weka tool for the identification of author then after testing the input with all the algorithm all the accuracy rates are noted down to see which algorithm is given us the best accuracy rate. Now to find the author name for an anonymous poem the poem features are extracted using the java code and the output is taken in the java file given to the weka tool and tested with the algorithms and then the author name is given to the anonymous poems.Â Â
Human Activity Monitoring and Recognition of Elderly People with Mild Cognitive Decline
Authors: Selvi S Arul , M S Sruthi , M Madhangiri 
Published: July 2024

Elderly people suffering from Dementia and Alzheimer meet with a progressive cognitive decline. This make them experience hardship in performing their everyday conventional activities especially in their outdoor navigation as they tend to forget landmarks even in familiar environments due to gradual decline in their memory and thinking abilities. Hence, disorientation and wandering become common issue. Providing assistive guidance to the elderly people in their outdoor mobility has become a challenging task for caretakers and family members as most of the elders prefer to live independently. Thus, there arises a need for efficient solutions that can monitor the elderly people movements and notify the caretakers in the event of disorientation or wandering being detected. The main objective of this paper is to propose one such solution which can support the provision of the best monitoring care in the outdoor navigation by mining through the elderâ€™s historical movement trajectories and detecting outliers if any, in the elderâ€™s current on-going trajectory. Further, the system tries to identify the underlying wandering pattern such as lapping, pacing or random in the outlier that could possibly help in analyzing the effect of medication in the treatment of dementia.Â Â
Biometric Authentication System Using Matlab
Authors: Dharunya Santhosh D. , Balakrishnan S. , K.Dhivyasshri C. , Prakash N. 
Published: July 2024

The human face is an appealing biometric identifier and face recognition has surely enhanced a ton since its beginnings nearly three decades back, yet its application in genuine world has made restricted progress. In this work, I have concentrated on a neighborhood highlight of the human face to be specific the lip and break down it for its importance and impact on individual acknowledgment. Top to bottom investigation is completed as for different advances included, for example, recognition, assessment, standardization and the utilizations of the human lip movement. At first we show a lip location calculation that depends on the combination of two free techniques. The proposed strategy for lips biometrics is the effect of the lips character acknowledgment for examination. Truth be told, it is a testing issue for character acknowledgment exclusively by the lips. In the primary phase of the proposed framework, Jones and viola calculation is utilized for enhancing high handling effectiveness. At that point, different corners of the mouth are distinguished through the predefined conditions, in which it is likewise ready to recognize shadow, facial hair, and revolution issues. For the element extraction, two geometric proportions and ten allegorical related parameters are received for promote acknowledgment through the help vector machine. Hence, the proposed framework can be successfully utilized for facial biometrics applications. It is additionally exceptionally precise even the other facial organs are secured or likewise it can be connected for an entrance control framework.Â Â
Rule based Hybrid Weighted Fuzzy Classifier for Tumor Data
Authors: Winston Paul D. , Balakrishnan S. , Velusamy A. 
Published: July 2024

Examination of gene based information has turned out to be so essential in biomedical industry for assurance of basic ailments. A fuzzy rule based classification is a standout amongst the most mainstream approaches utilized as a part of example arrangement issues. The fuzzy rule based classifier creates an arrangement of fuzzy if-then decides that empower exact non-straight order of information designs. In spite of the fact that there are different techniques to create fluffy if-then guidelines, the advancement of lead producing process is as yet an issue. Here, we introduce a half and half weighted fluffy order framework in which few fluffy if-then principles are chosen by methods for offering weights to preparing designs. Further, we utilize a genetic algorithm (GA) to streamline the classifier for quality articulation investigationÂ Â
Intelligent Speed Controller for Four Phase Switched Reluctance Motor
Authors: Mahalakshmi G. , Maladhi D. , Manochitra G. , Bhavatharini T. , Nandhakumar T. 
Published: July 2024

This paper examines the performance of Fuzzy logic controller with conventional PI controller speed control of four phase Switched Reluctance motor. Switched Reluctance motor has acquired attentiveness in Adjustable speed drive .Because of its less manufacturing and operating cost, fault tolerant capacity ,and high efficiency ,this motor is gains considerable attention. SRM is anyway somewhat hard to control, due to its nonlinear attributes. The dynamic execution anticipated from a variable speed drive incorporates least torque swell, low consistent state blunder, diminished speed overshoot, adaptation to non-critical failure and lessened speed wavering. Rather than linearizing the plant for particular working condition and afterward outlining a direct controller, a straightforward drive framework has been created. The controlled framework incorporates an inward current loop and external speed loop. Winding current and turn on ,turn off angles are utilized as control factors.Â Â Â
Formal Specification Languages: Features, Challenges and Future Directions
Authors: Ahmed Hussin , Hussain Azham , Baharom Fauziah 
Published: July 2024

Natural language is used as a popular way for Software Requirements Specification (SRS) to ensure successful communication between stakeholders. However, natural language suffers from ambiguity which motivated software community to devise Formal Specification Languages (FSLs) to state requirements precisely. Since the advent of FSLs, a heated debate among researchers and practioners was raised to judge on the practical use of FSLs in industry. In this research, a contemporary review is conducted to shed light upon the features, challenges and future directions of FSLs.Â Â
Current Challenges and Approaches in Recommending Venues by Using Contextual Suggestion Track from TREC
Authors: Tan KianLam , Ur Rehman Khan Haseeb , Kim Lim Chen 
Published: July 2024

Contextual suggestion systems have been emerging as an entrance region of research, attributable to the innovative advances in smart connecting things and rapid growth of Big Data. In this regard, the primary purpose of contextual suggestion systems is to propose things that assist users to settle on choices from countless activities, for example, according to their specific context, the system may predict what place users would find interesting to visit or in what restaurant they would prefer to eat. In a smart environment using big data, usersâ€™ current activity and past behavior could be incorporated into the suggestion process with an end goal that provides right suggestion at the right time with appropriate location on users personal preferences. The objective of this paper is to provide an overview of contextual suggestion system and a review of TRECâ€™s contextual suggestion track to investigate the approaches have been used in order to develop a model for contextual suggestion.Â Â
The Impact of Wi-Fi usage on Studentsâ€™ Academic Performance
Authors: Omar Mazni , Ahmad Mazida , Yasin Azman , Ibrahim Huda , Ghazali Osman , Khamis Shakiroh 
Published: July 2024

Studentsâ€™ academic performance is one of the main concerns that demand serious investment from the educational provider. One of the investments pertains to the technology support, namely, the Wi-Fi facility in the campus, aiming at providing students a meaningful learning experience. The study elaborated in this paper, sought explanation on the relationships between the Wi-Fi usage and the studentsâ€™ academic performance. Using a dataset from 147 Universiti Utara Malaysia (UUM) undergraduate studentsâ€™ Wi-Fi usage and their academic Cumulative Grade Point Average (CGPA), a Spearman correlation test was executed. The results indicate that Wi-Fi usage does not affect studentsâ€™ academic performance. Additionally, analyses on Wi-Fi hardcore users also found that the usage does not affect their academic performance. Based on website categories has been used by students, it was found that downloading and online games are the two web categories of usage affecting studentsâ€™ performance with CGPA between 2.00 to 2.99. Ways to better assist students to use Wi-Fi wisely to benefit their academic performance are also discussed.Â Â
Time-Frequency Analysis of Power Quality Disturbances via the Transform based Techniques
Authors: Murugesan P. , Prabakaran S. 
Published: July 2024

Digital India focuses the increased usage of semiconductor devices. These power electronic devices pollute the electric power in the power system which degrades the quality of power. The polluted power affects not only the generation, transmission and distribution side but also affects the modern equipments of customers. The goal of monitoring non-stationary electric signal is to quantify the transient nature of these signals and to extract the important features, which support the smart integrated monitoring system to activate the protection on time, to provide proper maintenance scheduling and to reduce the economical burden. This paper documents an alternate method of Fourier transform, where different digital signal processing techniques has been used to analyze different power quality events to provide visual examination. Its performance has been analyzed with different time-frequency representation methods like STFT spectrogram, CWT scalogram and DWT multi-resolution technique. The DWT can detect the dynamic changes of the non stationary PQ signal accurately.Â Â
Stress Analysis of SIC Reinforced Polyester Nano Composite Spur Gear
Authors: Selvam R. , Ravi S. , Balasubramanian K. 
Published: July 2024

Gears are most powerful machine element to transmit the motion between rotating shaft. It acts as a dominating transmission system from many years ago. In this study, we analyzed a spur gear machine toolfor special application Â using theoretical method and Finite element analysis. Here, the bending stress on the spur gear is analyzed since these stresses induced play a vital role in gear life. The analysis presented the effect of gear material on induced bending stress. Finally results of theoretical method and Finite element analysis were determined and when compared gives a better results.Â Â
Accessibility, Disability and Deaf: a Review
Authors: Soosay Nathan Shelena , Berahim Mazniha , Ramle Rosni , Hussain Azham , Laily Hashim Nor , Qurat-Ul-Ain Ansa 
Published: July 2024

Usability is an important attribute that needs more concentration in determining the production of a successful mobile application. Currently, deaf people has increased using mobile and the application tremendously. However, accessibility being under measured as many disability applications are being left unused after quite some time. To better suit the need of mobile applicationsfor the disability people, the level of accessibility needs to be measured accordingly. This study uses Systematic Literature Review (SLR) to review accessibility needs for a disability people application especially deaf people mobile application. Result from SLR shows that accessibility for mobile application for the deaf are measured limited in terms of its usage among deaf people due to lesser appropriate needs incorporated. This study helps mobile developers and evaluators in evaluating mobile application for the deaf by ensuring the accessibility are measured accordingly.Â Â
Information Security Threats on Social Network Sites: a Security Readiness and Mindfulness among IT and Non-IT Postgraduate Students
Authors: Moh. T. L. Ashafee Somia , Haryani Zakaria Nur , Mohamad Tahir Hatim , Katuk Norliza , Nizam Omar Mohd 
Published: July 2024

The concept of security and privacy in Social Networks Sites (SNS) are becoming very popular and the number of users are increasing rapidly. These issues run from unapproved access to individual data to digital harassing. Past researchers have been applying alternate points of view including specialized tools and law to ponder protection and security issues. The issues of security and protection is by all accounts continuous. In perspective of the security dangers and protection issues of students utilizing SNS, this investigation embarks to analyst the security mindfulness, readiness towards digital assaults and security practices among IT and Non-IT postgraduate understudies. A total of 400 postgraduate students were studied utilizing a self-directed poll. The discoveries announced in this examination uncovered that IT understudies have altogether high security mindfulness and conduct when contrasted with Non-IT students. Be that as it may, there is no critical contrast between the readiness towards digital attacks of both IT and Non-IT students. This investigation exhibits that there is a critical connection between readiness towards digital attacks and security practices. The hypothetical and common-sense ramifications of this investigation feature the significance of security mindfulness and comprehension of specialized know how in seizing security assaults among SNS clients.Â Â
Predicting the Blood Sugar using Machine Learning Approach
Authors: V.Ramalingam V. , Pandian A. , Manikandan K. , Mega Samala Roobanvaikundaraja Neela , . . , . . 
Published: July 2024

Background/Objective: This study is performed for predicting the blood sugar level by machine learning classifier techniques and identifies the best techniques among the techniques. Diabetes mellitus known as Diabetes caused due to increase in the blood glucose level. This will be impacting the pancreas and will be affecting the body beta cells. The beta cells play the major role in converting the glucose into energy. If the blood glucose remain undiagnosed for longer tenure, can cause various health complications like cardiovascular diseases neuropathy, nephropathy, organ failures and Eye disease. Diagnosing the sugar level in the earlier stage can help to prevent and control the health issues and save our life. Methods/Statistical Analysis: There are many classifiers already available in the computerized system. This analysis is to compare and identify the best classification technique between the classifier techniques like NaÃ¯ve Bayes (NB), Decision Tree (DT), Support Vector Machine (SVM), Classification and Regression Tree (CART), K â€“ Nearest Neighbour (K-NN) and C5. Findings: In 2017 the International Diabetes Federation had anticipated that 50% of the people in the world with the age group of 20 to 79 are not worried about their Diabetes and not aware that they may be impacted by Diabetes in near future. It also explained that 76.5% of Diabetic patients are from very low-income countries. These are not yet diagnosed if you really speaking that they donâ€™t know that they have Diabetes. So, there is a need to diagnose and monitor the diabetes to support and help them to cure it. Keeping that in mind there are various classification techniques used to predict the diabetes. The main objective of this study is to make a comparative study and identify the best classifier which is consistent among the various datasets. The datasets used for this comparative study is University of California, Irvine machine learning repository (UCI) and PIMA Indian Diabetes Dataset. Application/ Improvements: In this study, the R-Studio application tool is used for developing and comparing the classifiers.Â Â
Performance Measurement towards Crowd-Workers Reliability in Crowd Computing using Bayesian Probability Model
Authors: Hussin Masnida , Aliya Rozlan Nur 
Published: July 2024

Crowd computing becomes increasingly popular nowadays to Internet users. It has been chosen as distributed processing mechanism to solve computing problems which offer less policy but better business. Some of advantages in using the crowd computing are significant in time and cost used. In the crowd computing, the usersâ€™ tasks are completed by crowd workers. These workers have different skill, knowledge and style in finishing the task that allocated to them. Satisfaction on the completing the tasks is really challenging to measure in the crowdsourcing due to its dynamic environment. Furthermore, it is raised when behaviour or commitments of crowd-workers in providing services are started to query, either it can be trusted or not.Â In this work, a Bayesian probability model utilized to assess workers reliability in crowd computing is proposed. Specifically, we formulate trust factor by using the Bayesian model for indicating the reliability of the available workers in crowdsourcing platform. The process of prediction and hypothesis of workersâ€™ commitment are identified to relate with the crowd-sourced computing system. We designed the significant behavioural factors to measure the workers performance towards user satisfaction. We then developed an automation measurement system that used to verify Bayesian formulation towards workers performance. The web-based automation system is able to identify the workersâ€™ reliability values according to the input/response from the users. Optimistically, by using Bayesian probability model provides guidelines for designing trustworthy system in crowd sourcing platform.Â Â Â
Effects of Demographic Factors on Performance Strategies and Brain Wave Quality on Performance among Athletes
Authors: Mazlina Ghazali Nor , Fauzan Norsiah , Anuar Azzahrah , Aden Edris , Marzuki Wan Jaafar Wan 
Published: July 2024

The purpose of this research is to investigate the effects of demographic factors and brain wave quality on performance strategies among athletes. The demographic factors such as gender, years of study, and years of involvement in sports play an important role in the use of performance strategies in determining their performance strategies in sports. The instruments used for this research is the Test of Performance Strategies (TOPS) to measure the performance strategies. The findings have revealed that there were significant differences in the performance strategies by the demographic factors as follows; gender at t (21) = 13.75; p < .05; years of study at t (21) = 9.46;Â Â p < .05, and years of involvement at t (20) = 11.37; p < .05. In addition, there were also significant differences in the sub factors of the performance strategies such as goal setting, relaxation, activation, imagery, self-talk, attentional control, emotional control, and automaticity. Based on the finding from the qEEG application, in the stroop effect tasks, the Beta and Gamma wave had the tendency to dominate the Frontal region (Fp1,Fp2), somatosensory area (C3,C4) which related to the development of the psychomotor skills and visual spatial area (P3,P4) and O1 and O2. The athletes have less thought process in seconds prior to the shot and have quieter mind than the non-athletes. It could be inferred that the athletes needed to be calm and relaxed while facing their challenge so that they could focus on their target and performance. The implication of this research includes the brain wave quality and effect on the performance strategies. The improvement in the brain quality (Alpha, Beta and Gamma) wave would assist the athletes to perform.Â Â
Thwarting Sybil Attack by CAM Method in WSN using Cooja Simulator Framework
Authors: Singhal Prateek , Sharma Puneet , Rizvi Sheenu 
Published: July 2024

In the area of IoT Sybil attack is vulnerable where the fake identities can manipulate or misuse pseudoidentities to negotiate the successof spam and Internet of Things. The nodes illegitimately claim multiple identities against sensor and Ad-Hoc networks. The hostile or faulty remote computing elements faces the security thread on large- scale peer-to-peer systems. We have a trust agency to certify the identities prevent from the â€œSybil Attackâ€. Multiple identities that control sustainable fraction of systems so prevent from loss of information while data exchanging via networks or internet.In this paper the proposed CAM (Comparing and Matching) approach to prevent from Sybil attack by verifying the position of the sensors or node with their location ID. We match the ID of the node while data exchanging over network. We specifically given a complete assure security for WSN that these kinds of attack come out with unicast as well as multicast. We have practically analysis the simulation of network by gagingthe end-to-end delay, pack delivery and throughput of packets under the numerous circumstances to compute the effectiveness of packets. This simulation is on the erudite tool that is Cooja under a Contiki OS and highlight the security over data exchanging and exemplify the use feature for intrusion detection â€œSybil Attackâ€ in the Internet of Things.Â Â