bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Alumina NANOPARTICLES as Additive on the Friction and Wear Behavior of POLANGA based Lubricant
Authors: Singh Yashvir , Sharma Abhishek , Singh Nishant , Singla Amneesh , P. Dwivedi S. , Kumar Srivastava Ashish 
Published: July 2024

Environment degradation and non-biodegradability are the major problems associated with mineral-oil based lubricants. Non-edible vegetable oils are one of the suitable substitutes for the mineral oils. In this study, polanga oil was used as the lubricant to check its feasibility for the tribological behaviour. Alumina nanoparticles are added to the polanga oil on a weight-percentage basis. The variation of alumina (Al2O3) nanoparticles concentration with polanga oil was evaluated for the coefficient of friction and wear analysis.Â Minimum coefficient of friction and wear was observed at 0.075% % concentration which gets further increased at 0.1 % concentration. The smooth surface of the pin was observed at 0.075 % nanoparticles concentration with the comparison to base polanga oil. Maximum total acid number changes was obtained at 0.1% concentration.Â Â
Modern Very Fast Decision Tree Model for Mining High-Speed Time-Series Data Stream
Authors: Vanitha Katherine A. , Kamalavalli T. , Vinothini S. , Jagannath M. , E. Jayanthi V. 
Published: July 2024

Data mining is one of the drastically growing research fields in data analysis. Data is generated on a person, object, element, label in terms of time, days, months, years. Although ample algorithms currently exist for high-speed data streams, they fail to efficiently scale up the data when the data size is large. In this paper, an algorithm is proposed to perform clustering for high-speed data streams using Modern Very Fast Decision Tree (MVFDT) model. It replaces the old decision tree model by clustering to enhance its accuracy. MVFDT takes clusters based records in the database and compares with other cluster of records if any relationship among the records. MVFDT reads a model for clustering which is similar in accuracy of Very Fast Decision Tree (VFDT). In VFDT, new samples are arrived every time for a moving window. But the result of VFDT does not provide satisfactory in terms of data scalability, i.e., large in volume. MVFDT incorporates three different functionalities such as dynamic tree formation, windowing based clustering and classification for calculating the Frequent Pattern (FP) and query process. Experiments are carried out by using large set of time-series and time-changing data streams to compare the clustering and mining efficiency of MVFDT. Experiment results seem to prove that MVFDT model provides more mining efficiency than VFDT.Â Â
Chronic Conjecture and Uncertainty Detection by Machine Learning
Authors: Jegan Amarnath J. , Kumar Sahoo Pradeep , Anand.M Suresh , Mamutha Nisha A. , Priyadharshini B. , Sumitha V. 
Published: July 2024

The early disease risk detection and appropriate diagnosis for the chronic disease is possible with the help of analysis of the medical data.Â The analysis accuracy was reduced due to the incompleteness of medical data. Different areas or regions manifest different chronic outbreak which leads to loss of many lives. In this project, we converge machine-learning algorithms for the effective risk prediction of the chronic heart disease and provide early treatment for the disease in disease-frequent communities. The electronic health record collected from the hospital is categorized based on the clinical attributes of the patient and by using the statistical analysis, the overall risk for the heart disease is found .So for reduce the risk of incomplete datas can be use an observable variable to rebuild the absent data which improves the pre-processing effectively. This project uses a new ConvolutionNeuralNetwork (CNN) supported multi-modal disease-risk prediction procedure for the un-structured data, Decision tree algorithm for structured data to find the risk of the chronic disease. Based on the level of the risk, the treatment plan is provided automatically. In the domain of medical big data-analytics, very few existing works focused on both data types.The accuracy of the proposed prediction algorithm will reach more than 94.8% with convergence speed when compared with many other prediction algorithms. This is faster than the convolution neural network (CNN) based uni-modal and existing multimodal disease-risk-prediction method.Â
Sugar Level Detection Using Thermal Images
Authors: Suresh Anand M , Balamurugan M , Shubathra R , Ragavi M , Bhagya Lakshmi Priya R 
Published: July 2024

Diabetes mellitus, commonly called as Diabetes, in which the person has high sugar level. Insulin, produced by the pancreas, is responsible for controlling the level of blood glucose level. The lack of production in insulin leads to Diabetes. If the problem left untreated, it leads to serious complications includes cardiac problems. There are various invasive techniques to diagnose diabetes. In this project we are using mid infrared rays instead of near infrared rays to acquire the thermal image of the palm. The thermal imagesÂ are pre-processed and segmented using k means clustering. Then they are subjected to feature extraction and then classified using classifiers. The classifiers like SupportVectorMachine(SVM),ProbabilisticNeural Network(PNN),K-Nearest Neighbour Network (KNN) are used to diagnose the thermal images of palm.Â Â
Study on Rotor Position Sensing Method using Inductance Displacement Sensor
Authors: Lee Won-Doo , Lee Dong-Yeol , Jeong Myeong-Sik , Kim Han , Kang Dong-Woo 
Published: July 2024

Background/Objectives: There are disadvantages of position sensing method using the encoder. In this paper, we use inductance displacement sensor to reduce the disadvantages of existing position sensing method.Methods/Statistical analysis: The inductance displacement sensor outputs the inductance value that changes according to the eddy current of the conductor surface. At this time, if the conductor pattern is provided, the inductance value changes as the motor rotates. It can be used as a sensor for measuring the rotor position at which the inductance at this time is divided by 360 degrees between the lowest value and the high value.Findings: The position sensing method using the encoder used in the existing electric motor system is difficult to downsize due to the size of the encoder itself and the additional structure, and the dynamic characteristic also decreases due to the mechanical connection part. However, when using an inductance displacement sensor, no additional structure is required, and position can be sensed simply by inserting the conductor pattern. Through the experiment, the encoder and the conductor giving the pattern were connected, the inductance displacement sensor was attached, and then the position of the rotor was measured using the LabVIEW program. As a result, it was confirmed that the position of the rotor measured by the position of the rotor inductance displacement sensor measured by the encoder matched. The measured position sensing waveform was input to a simulation PMSM (Permanent Magnet Synchronous Motor), and the result was derived to confirm that the motor was operating normally.Improvements/Applications: In this paper, we have proven that the inductance displacement sensor can replace for the encoder through the experiment, so we can solve the shortcomings of the existing encoderÂ Â
Survey on Data Security and Privacy Preserving in Big Data
Authors: A.Vineela A. , Kasiviswanath N. , Sudha Ran L. 
Published: July 2024

With the rapid growth of IT industry, big data needs the improvement in storage, computation and network field. This enhancement also brings the new security and privacy issues to the big data. The researchers are attracted towards to solve the security and privacy issues. This paper made a survey on characteristics of big data along with security issues. The traditional security methods of cloud computing are not appropriate to the big data. Privacy preserving is also one major issue in big data. This survey also provides complete study on research issues and challenges of privacy preserving and the comparison is made to the privacy preserving techniques. Finally, this paper provides comprehensive overview of the methods to solve the big data security problem.Â Â
Modeling Intelligent Health Care Using Multi-Agent System
Authors: Sarangi Lokanath , Naryan Mohanty Mihir 
Published: July 2024

Health monitoring can be automated through the help of multiple agents by data collection, coordination and storage. In this paper, we plan to organize our multi-agent architecture in two units. First one is the source unit, which contains smart wireless sensors and collection agent. The sensors read the vital signs from the patientâ€™s body and they transfer the data to collection agent. The collection agent checks the received data whether it is redundant or not. The valuable medical data are then compressed and sent to updation agent in the destination unit. The updation agent updates the medical data into the database and physician. The physician gives the exact prescriptions for the received medical data with the help of medical history obtained from the database. The prescriptions are transferred to the database and transfer agent. The transfer agent transfers the prescriptions to corresponding collection agent after the compression process. The collection agent conveys the prescriptions to the patient after the decompression. Finally, the experimentation was made and we saved 1:5 of data by our proposed MAS system. Our implementation is done using JADE.Â Â Â
Optimal Bidding by IPP in a Restructured Dynamic Competitive Electricity Market Adopting IGWO Method
Authors: Agrawal Ramachandra , Tripathy Smrutirekha , Sitikantha Debashis , Gopal Krishna , Kumar Debnath Manoj 
Published: July 2024

In a restructured Electricity Marketplace the Independent Power Producer (IPP) has to bid adequately to optimize their profits for each self independently. So each IPP of the electric power market should bid to adopt a proper strategy enabling it to win the maximum share of the total power demanded at any specific trading period from its rivals participating in the competitive market. In this present work, a very latest and efficient bio-inspired method known as Improved Grey Wolf Optimization (IGWO) has been considered to find out the optimal values of the bidding coefficients. The implementation of IGWO evidenced much better output in terms of higher profits in comparison to the earlier methods reported recently by the eminent researchers. Additionally, a new case study involving an entire trading day with the ramp rate constraints for the IPPs along with the consumer demand variation, both on an hourly basis, is presented, which has not been proposed by anyone so far. The Market Clearing Price (MCP) variation is also kept within the specified extreme boundaries during each hour of the entire trading duration of the day depicting a dynamic market environment. The proposed technique along with the simple GWO method when tested on IEEE 30 Bus standard configuration incorporating 6 IPPs in the MATLAB environment resulted in much-improved outcomes compared to the latter case.Â Â
A Powerful Web Benefit Positioning Strategy by Means of Investigating Client Conduct
Authors: Gupta Sandeep , Tyagi Nitin , Kr. Saraswat Krishan , Pratap Srivastava Arun , Awasthi Shashank 
Published: July 2024

Administration situated figuring and Web administrations are winding up increasingly prominent, empowering associations to utilize the Net for business opportunity offering Net benefits & expanding current Net administrations. By the by, through expanding reception & nearness of Net administrations, moves toward becoming more hard to locate the most proper Web benefit that fulfills the two clients' useful and nonfunctional necessities. In this paper, we propose a powerful Web benefit positioning methodology in view of communitarian sifting (CS) by investigating the client conduct, whereÂ summon and question past records is utilized to construe the probable client conduct. CS-rooted client similitude ascertained through comparative summons and comparative inquiries (counting useful question and QoS inquiry) between clients. Three angles of Web administrationsâ€”useful significance, CS rooted outcome, and QoS utility, altogether contemplate in last Web benefit positioning. Dodging effect various components, scale, & dispersion of factors, 3 positions is ascertained the 3 measures separately. Last Web benefit positioning gotten through utilizing a score accumulation strategy dependent through score stand. The paper likewise propound compelling assessment measurements for assess the methodology. Substantial parameter tests were directed dependent to the certifiable Net benefit data subdivision. Exploratory outcomes demonstrate that the proposed methodology outflanks the current methodology on the rank execution.Â Â
Effectual Recommendations Using Concealed Feature Method
Authors: Saxena Noopur , Awasthi Shashank , Pratap Srivastav Arun , Gaurang Tiwari Raj 
Published: July 2024

In the Collaborative Filtering, for the product recommendation, we not only consider the silhouette of the lively user but also consider the neighborhood of the lively consumer with analogous inclinations. In the approach of Collaborative filtering, we collaborate to assist each other in filtering the files they access, through using their reactions/comments. The recommender systems are exploited by massive researchers to improve the internet search. Content based filtering is another approach of recommender systems. In this paper, we concentrate on userâ€™s conduct rather than product/ object information. We determine the concealed characteristic of the product due to which product is highly/poorly rated by user. We estimate the missing rankings of unrated products by way of thinking about concealed characteristic and by using exploiting collaborative suggestion is performed.Â Â
On the Multimetal - Multiligand Complex Formation Equilibria of Adenine and Histidine
Authors: Verma Shalini , Kumar Srivastava Bipin , Rani Nidhi , Krishna V. 
Published: July 2024

Quaternary metal chelates of Cu (II), Co (II), Cd (II), Pb (II), Zn (II) and Ni (II) metal ions with Adenine and L-Histidine have been studied by Potentiometric technique at 0.1 M NaNO3 ionic strength under biologically relevant condition in aqueous medium. Formation of quaternary species along with hydroxyl, protonated, binary and ternary species has been reported. The percentage of species formation of different systems was determined through SCOGS computer program by utilizing titration values of ternary and quaternary systems. The obtained species percentage was shown through graphs plotted between species and solution pH. The distribution of species at different pH was sketched out through ORIGIN 6.1. The order of stability constants of quaternary system has been calculated. Speciation curves of all the quaternary system under studied show that complexation takes place simultaneously.Â Â
A Study on Consumer Perception of Copper Bottles with Reference to Hyderabad city
Authors: MM Quazzafi Mr. , Geeta Kesavaraj Dr. , . . 
Published: July 2024

Businesses benefit from eco gracious wherein general trends of lucidity, connectivity, and expanded familiarity with maintainability issues add to the general benefit of promoting messages. The customers are expecting and demanding the sustainability-oriented products in a world more candidly involved with health concerns. Â Currently, eco-friendly have an excellent opportunity to gain market grip and increase the consumer base. In coming days, eco -friendly will be a necessary aspect of the commercial world. Copper is your friendly neighbourhood superhero as far as its benefits are considered, not just to the human body, but to the environment too. It is a cheap metal, available in abundance as well as easiest to recycle. There are several benefits of copper, here are some to our health and our environment at large. Despite all the benefits of copper, one must remember that copper is only required in trace amounts in the human body. One must also remember that too much of a good thing could also become harmful, especially, if we are talking about the delicate balance of the human chemistry. Water makes 75% of our anatomy, however, one cannot keep on drinking water stored in copper vessel, all day and every day. In the above context the aim of the research is to examine the perception of buyers towards copper water bottles in Hyderabad. Data were collected through questionnaire survey of 50 customers of Hyderabad based on convenient sample. A Chi-Square test were employed to the test Association between awareness and usage of copper bottles, benefits and usage of copper bottle and effects and usage of copper bottle.Â Â
Intelligent Decision Support System for Transport Infrastructure Investment with Emphasis on Joint Logistic Concept
Authors: Abdalla Alameen Dr. , Ashu Gupta Dr. 
Published: July 2024

The point of this proposal is to give to the legislative chief/client, an instrument that can help him/her in enhancing the foundation speculation choice in the efficient, ecological and maintainable angles. This implies, the Return on Investment (ROI) of the concerned transport framework, fulfilling natural and maintainable imperatives must be certain, and comparing to an ideal venture cost. The choice emotionally supportive network can be connected in two measurements. One measurement is the place the genuine arrangement process is happening among private and open partners, called "ongoing transaction process". The second measurement is the place the arrangement procedure is induced by the client (open part) without private partners communication (yet with association through re-enactment), called "virtual transaction process". The re-enactment and nearby advancement procedures, in stage with operator innovation, utilized in the "virtual transaction process" empower us to accomplish a specific measure of elective choices to the essential/proposed choice to be assessed.Â Â
An Evaluation Using Cloud Services for Car-To-Car Communication
Authors: Yogarayan Sumendra , Azman Afizan , V Devarajan Logaraj , Chandran Premnath , Fatimah Abdul Razak Siti , Jai Raman Kirbana , Fikri Azli Abdullah Mohd , Zainab Ibrahim Siti , Sonai Muthu Kalaiarasi 
Published: July 2024

Modern hand-held devices such as smartphones and tablets have become high in demand. Wide range of commercial concepts and possibilities have come into the limelight due to the extra features fitted in these devices. In particular, most smartphones and tablets regularly include cameras, high-speed processors, GPS and internet access. With emerging technology, there are many applications that allow the processing of real time information and location based services. Mobile devices from various platforms gain much popularity and become more advanced these days. In short, we are using them to accomplish our daily tasks. Hence, two applications are developed and tested with cloud services integration.Â Â
An Integrated Vehicle Servicing and Breakdown Assistance System
Authors: Yogarayan Sumendra , Azman Afizan , Fatimah Abdul Razak Siti , Jai Raman Kirbana , Fikri Azli Abdullah Mohd , Zainab Ibrahim Siti , Sonai Muthu Kalaiarasi 
Published: July 2024

Integrated connected car management system (ICCMS) technology focused on the car management. The system of ICCMS is the inevitable development trend of the next generation connected car diagnostic system, it is important for drivers to be connected of the cars details and as well convenient possibilities. This paper is based on a system development, to manage car internal states, requesting for service/towing and to operate in centralized database. At the end of the paper, the technical development prospect was discussed.Â Â
Building TabuCount Application to counting Tabu Search iteration with Borland Delphi 7
Authors: . Miswanto , Yudha Bramantara , . Sapriyanti , Setiawan Hendra , Novel Kadinar 
Published: July 2024

This research aims to build desktop application called TabuCount with Borland Delphi 7.0 application in the Software Engineering subject. TabuCount helping other researchers or other students who used Tabu Search Algorithm like Travelling Salesman Problem to count each iteration step by step, and minimized human error for counting number. This research used Research and Development (R&D) design procedures through 5 steps, which are: (1) data classification, (2) data collecting, (3) design application, (4) field testing, and (5) building application. Based on the results of manual count with Ms. Excel and the TabuCount result, it was obtained the same result are valid and applicable. For an effective based on the research, TabuCount application were effective to use. Therefore, researchers who wanted to use Tabu Search Algorithm (Travel Salesman Problem) is suggested to use TabuCount as an alternative support application.Â Â
Comparison of Different Wavelet Sub-Band Features in the Classification of Indonesian Stop Consonants in CV Syllable Context
Authors: Kristomo Domy , Hidayat Risanuri , Soesanti Indah 
Published: July 2024

In the research field of signal processing by using wavelet method there are some factors affecting the accuracy of recognition such as the selection of the sub-band parameter, the selection of suitable mother wavelet or coefficient, and the determination of decomposition level. This paper presents a comparative study of three wavelet-based sub-bands (WBSB) combined with the moving average energy (MAE) features for classification of Indonesian stop consonants in consonant-vowel (CV) context. Three different feature sets used in this study are the MAE of each different wavelet sub-band using mother wavelet of daubechies2. The first feature set is the MAE taken from standard wavelet packet (WP) sub-band at the 4th level of decomposition denoted as WBSB. Whereas the second and third feature sets are the MAE taken from WP which the sub-band is selected based on the previous research denoted as WBSB1 and WBSB2. For the classification of the stops sound signal after feature extraction process, two different classifiers were used, based on multi-layer perceptron and random forest. The experimental result showed that the performance rank of feature extraction method were WBSB, WBSB1, and WBSB2, respectively.Â Â