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Full-Text Articles in Engineering

Artificial Intelligence-Driven Remaining Useful Life Prediction Of A Machinery-A Review, Dvij Barot, Honey Sharma, Mahika Yadav, Pooja Kamat Apr 2021

Artificial Intelligence-Driven Remaining Useful Life Prediction Of A Machinery-A Review, Dvij Barot, Honey Sharma, Mahika Yadav, Pooja Kamat

Library Philosophy and Practice (e-journal)

The Remaining Useful Life of a machine is very useful statistical information for the operator and manufacturer. It provides a very clear perspective to the user how long the machine can be operated and if any faults are detected how can they be prevented and ultimately increase the Remaining Useful Life. If the operators are aware of the forthcoming issues of the machine the downtime caused in the inspection, part delivery and eventually replacing parts is significantly reduced.

The paper presents a study on the remaining useful life of machinery as it is an emerging technique, starting from the year …


Recent Trends In Cloud Computing And Edge Computing, Sonali Deshpande, Nilima Kulkarni Apr 2021

Recent Trends In Cloud Computing And Edge Computing, Sonali Deshpande, Nilima Kulkarni

Library Philosophy and Practice (e-journal)

Background: This study aims to analyze the work done in domain of cloud computing and edge computing using artificial intelligence from 2015 to 2021. Recent research shows the bibliometric methods are useful for such kind of analysis. Thus in this paper analysis is carried out using the bibliometric methods.

Methods: different articles on edge computing and edge intelligence were retrieved using one of the most popular database- Scopus. The research articles are considered between 2015 to 2021. Scopus analyzer is used for getting some analysis results such as documents by year, source, country and so on. VOSviewer Version 1.6.16 is …


Discourse On Digital Government And Regulation: A Bibliometric Analysis, Prakoso Bhairawa Putera, Amelya Gustina Apr 2021

Discourse On Digital Government And Regulation: A Bibliometric Analysis, Prakoso Bhairawa Putera, Amelya Gustina

Library Philosophy and Practice (e-journal)

This study aims to discuss digital government and regulation, analyzed through the bibliometric approach with the Scopus database for the last 20 years and visualized through the VOSviewer software version 1.6.16. The results indicate that the topic of e-government has become essentially prominent and has been the most discussed in the past two decades. Approximately 41.1% of digital government and regulation articles are classified under the subject area of 'Computer Science', continued by Social Sciences (18.3%), and Business, Management and Accounting (10.2%), with the majority of being 'All Open Access' (46%). The trend of publication in this field includes the …


Internet Of Things Based Messaging Protocols For Aquaculture Applications - A Bibliometric Analysis And Review, Rupali Shete, Anupkumar M. Bongale Dr., Arunkumar Bongale Dr. Apr 2021

Internet Of Things Based Messaging Protocols For Aquaculture Applications - A Bibliometric Analysis And Review, Rupali Shete, Anupkumar M. Bongale Dr., Arunkumar Bongale Dr.

Library Philosophy and Practice (e-journal)

Internet of Things (IoT) which connects real-world physical objects with various identities involves different technologies and research areas. As it is an integration of different standards and technologies with numerous capabilities, the implementation phase needs to consider important parameters of communication. In IoT this is achieved through messaging protocols. Each object has its own limitations in terms of sensing capability, storage capacity, connectivity, power utilization, etc. And hence when such objects are deployed for different applications, they need to perform well in terms of their various capabilities. Messaging protocols at this stage need to consider these diverse elements. One of …


Bibliometric Survey For Stock Market Prediction Using Sentimental Analysis And Lstm, Pooja Bagane, Nimit Mehta Mr, Parth Kakde Mr, Nisarg Bramhbhatt Mr, Ishansh Sahni Mr, Sirbi Kotrappa Dr Mar 2021

Bibliometric Survey For Stock Market Prediction Using Sentimental Analysis And Lstm, Pooja Bagane, Nimit Mehta Mr, Parth Kakde Mr, Nisarg Bramhbhatt Mr, Ishansh Sahni Mr, Sirbi Kotrappa Dr

Library Philosophy and Practice (e-journal)

Creating an overview of the flow fundamentals of the global market trading and sublimation of equities into a superimposed system of economic agendas. Furthermore this leads to dynamic overlapping with the current technological advancements to create a platform for information exchange and inculcations. This created a new field of access points where we could enhance and analyse the data available and create an interface to predict the rise and fall trends involved with the stock market. These help create a sense of control and format over the public personification over the economic impacts and use social media and involve discrete …


Analysis Of Recent Trends In Malware Attacks On Android Phone: A Survey Using Scopus Database, Sonali Kothari Tidke, Vijayshri Khedkar Mar 2021

Analysis Of Recent Trends In Malware Attacks On Android Phone: A Survey Using Scopus Database, Sonali Kothari Tidke, Vijayshri Khedkar

Library Philosophy and Practice (e-journal)

In past few years, smartphone use has shifted from professional access to personal need. Smartphone has now become an essential requirement to perform day to day activities. This has made smartphones unsecured and vulnerable to cyber threats and malware attacks. This study is also focused on finding intersection between malware attacks and Android OS considering Android as the most widely used mobile OS. A comprehensive search is conducted on Scopus Database for peer-reviewed articles. The study is carried out on bibliometric data of the considered articles to generate a highly useful concept map.


Review And Analysis Of Failure Detection And Prevention Techniques In It Infrastructure Monitoring, Deepali Arun Bhanage, Ambika Vishal Pawar, K Kotecha Mar 2021

Review And Analysis Of Failure Detection And Prevention Techniques In It Infrastructure Monitoring, Deepali Arun Bhanage, Ambika Vishal Pawar, K Kotecha

Library Philosophy and Practice (e-journal)

Maintaining the health of IT infrastructure components for improved reliability and availability is a research and innovation topic for many years. Identification and handling of failures are crucial and challenging due to the complexity of IT infrastructure. System logs are the primary source of information to diagnose and fix failures.

In this work, we address three essential research dimensions about failures, such as the need for failure handling in IT infrastructure, understanding the contribution of system-generated log in failure detection and reactive & proactive approaches used to deal with failure situations.

This study performs a comprehensive analysis of existing literature …


A Bibliometric Analysis Of Authentication Based Access Control In Cloud Using Blockchain, Yogesh Gajmal, Udayakumar R. Mar 2021

A Bibliometric Analysis Of Authentication Based Access Control In Cloud Using Blockchain, Yogesh Gajmal, Udayakumar R.

Library Philosophy and Practice (e-journal)

Access Control is mentioned to as the imprisonment of particular activities of an individual to carry out an action. Cloud storing similar to any other untrusted surroundings wants the capacity to protect the shared data. The one of the apparatus of access mechanism is ciphertext-policy attribute-based encryption system over and done with dynamic characteristics. With a blockchain based distributed ledger, the scheme offers immutable log of whole significant safety events, for example key generation, change or revocation, access policy assignment, access request etc. Number of different problems similar to single point of failure, security and privacy etc. were targeted through …


Analysis Of Recent Trends In Continuous Sign Language Recognition Using Nlp, Vijayshri Nitin Khedkar, Sonali Kothari Dr, Aarohi Prasad, Arunima Mishra, Varun Saha, Vinay Kumar Mar 2021

Analysis Of Recent Trends In Continuous Sign Language Recognition Using Nlp, Vijayshri Nitin Khedkar, Sonali Kothari Dr, Aarohi Prasad, Arunima Mishra, Varun Saha, Vinay Kumar

Library Philosophy and Practice (e-journal)

Oralism is an ideology and practice that advocates communication that is based solely on speech. This practice is encouraged from a pretty early age in our country. As a consequence, the hard of hearing are constantly forced to negotiate with schools, colleges, organisations, workspaces, and families that don’t acknowledge the need and preference for sign language over oral languages. This results in inconsideration of an entire community for admissions, jobs and general social position. We aim to close that communication gap a little and take a step towards fighting the stigma associated with Sign Language. The aim is to provide …


Bibliometric Survey On Predictive Analysis Using Multiple Regression For Invoice Generation System, Chetana Nadekar, Subodh Awate, Dattatray Damse, Smita Khairnar Feb 2021

Bibliometric Survey On Predictive Analysis Using Multiple Regression For Invoice Generation System, Chetana Nadekar, Subodh Awate, Dattatray Damse, Smita Khairnar

Library Philosophy and Practice (e-journal)

The research is exploring the opportunities available for the application of Predictive analysis using multi regression for invoice generation systems. We work by analyzing the data generated and saved in the database of the clinic. This database contains the financial operations along and also contains other useful information that is being gathered about the patients.

We are proposing a different approach for a billing system to make the task easier for the generation of invoices for the clinic. The mapping of the relational data and using a predictive model that is based on a regression analysis that will predict the …


Bibliometric Analysis Of One-Stage And Two-Stage Object Detection, Aditya Lohia, Kalyani Dhananjay Kadam, Rahul Raghvendra Joshi, Dr. Anupkumar M. Bongale Feb 2021

Bibliometric Analysis Of One-Stage And Two-Stage Object Detection, Aditya Lohia, Kalyani Dhananjay Kadam, Rahul Raghvendra Joshi, Dr. Anupkumar M. Bongale

Library Philosophy and Practice (e-journal)

Object Detection using deep learning has seen a boom in the recent couple of years. Observing the trend and its research, it is important to summarize bibliometrics related to object detection which will help researchers contribute to this subject area. This paper details bibliometrics for one-stage object detection and two-stage object detection. This uses Scopus database for data analysis. This also uses tools like Sciencescape, Gephi, etc. It can be observed that the advancements to the field of object detection are seen in recent years and explored to its full extent. It is observed that Chinese universities and researchers are …


A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Based On Scopus And Wos, Shivali Amit Wagle, Harikrishnan R Feb 2021

A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Based On Scopus And Wos, Shivali Amit Wagle, Harikrishnan R

Library Philosophy and Practice (e-journal)

The maneuver of Artificial Intelligence (AI) techniques in the field of agriculture help in the classification of diseases. Early prediction of the disease benefits in taking relevant management steps. This is an important step towards controlling the disease growth that will yield good quality products to fulfill the global food demand. The main objective of this paper is to study the extent of research work done in this area of plant disease classification. The paper discusses the bibliometric analysis of plant disease classification with AI in Scopus and Web of Science core collection (WOS) database in analyzing the research by …


A Bibliometric Analysis Of Distributed Incremental Clustering On Images, Ayushi Agrawal, Preeti Mulay, Krithika Iyer, Saloni Sarbhai Feb 2021

A Bibliometric Analysis Of Distributed Incremental Clustering On Images, Ayushi Agrawal, Preeti Mulay, Krithika Iyer, Saloni Sarbhai

Library Philosophy and Practice (e-journal)

Unstructured information is continuously irregular and streaming information from such a sequence is tedious because it lacks labels and accumulates with time. This is possible using Incremental Clustering algorithms that use previously learned information to accommodate new data and avoid retraining. This paper therefore seeks to understand the status of "Distributed Incremental Clustering" on images with text and numerical values, its limitations, scope, and other details to devise a better algorithm in future. To further enhance the analysis, we have also included methodology, which can be used to perform clustering on images or documents based on its content.


Bibliometric Survey On Zero-Knowledge Proof For Authentication, Adwait Pathak, Tejas Patil, Shubham Pawar, Piyush Raut, Smita Khairnar, Dr. Shilpa Gite Jan 2021

Bibliometric Survey On Zero-Knowledge Proof For Authentication, Adwait Pathak, Tejas Patil, Shubham Pawar, Piyush Raut, Smita Khairnar, Dr. Shilpa Gite

Library Philosophy and Practice (e-journal)

Background: Zero Knowledge Proof is a persuasive cryptographic protocol employed to provide data security by keeping the user's identity, using the services anonymously. Zero Knowledge Proof can be the preferred option to use in multiple circumstances. Instead of using the public key cryptographic protocols, the zero-knowledge proof usage does not expose or leak confidential data or information during the transmission. Zero Knowledge Proof protocols are comparatively lightweight; this results in making it efficient in terms of memory. Zero Knowledge Proof applications can reside in authentication, identity management, cryptocurrency transactions, and many more. Traditional authentication schemes are vulnerable to attacks …


Estimating Remaining Useful Life In Machines Using Artificial Intelligence: A Scoping Review, Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Anupkumar Bongale, Shruti Patil Jan 2021

Estimating Remaining Useful Life In Machines Using Artificial Intelligence: A Scoping Review, Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Anupkumar Bongale, Shruti Patil

Library Philosophy and Practice (e-journal)

The remaining useful life (RUL) estimations become one of the most essential aspects of predictive maintenance (PdM) in the era of industry 4.0. Predictive maintenance aims to minimize the downtime of machines or process, decreases maintenance costs, and increases the productivity of industries. The primary objective of this bibliometric paper is to understand the scope of literature available related to RUL prediction. Scopus database is used to perform the analysis of 1673 extracted scientific literature from the year 1985 to 2020. Based on available published documents, analysis is done on the year-wise publication data, document types, language-wise distribution of documents, …


Time Series Data Analysis Using Machine Learning-(Ml) Approach, Mvv Prasad Kantipudi Dr., Pradeep Kumar N.S Dr., S.Sreenath Kashyap Dr., Ss Anusha Vemuri Ms Jan 2021

Time Series Data Analysis Using Machine Learning-(Ml) Approach, Mvv Prasad Kantipudi Dr., Pradeep Kumar N.S Dr., S.Sreenath Kashyap Dr., Ss Anusha Vemuri Ms

Library Philosophy and Practice (e-journal)

Healthcare benefits related to continuous monitoring of human movement and physical activity can potentially reduce the risk of accidents associated with elderly living alone at home. Based on the literature review, it is found that many studies focus on human activity recognition and are still active towards achieving practical solutions to support the elderly care system. The proposed system has introduced a joint approach of machine learning and signal processing technology for the recognition of human's physical movements using signal data generated by accelerometer sensors. The framework adopts the concept of DSP to select very descriptive feature sets and uses …


Bibliometric Of Feature Selection Using Optimization Techniques In Healthcare Using Scopus And Web Of Science Databases, Rahul Joshi, Harita Gadikta, Saneeka Kharat, Soumi Mandal, Kalyani Kadam, Anupkumar M. Bongale Dr., Siddhant Pandit Jan 2021

Bibliometric Of Feature Selection Using Optimization Techniques In Healthcare Using Scopus And Web Of Science Databases, Rahul Joshi, Harita Gadikta, Saneeka Kharat, Soumi Mandal, Kalyani Kadam, Anupkumar M. Bongale Dr., Siddhant Pandit

Library Philosophy and Practice (e-journal)

Feature selection technique is an important step in the prediction and classification process, primarily in data mining related aspects or related to medical field. Feature selection is immersive with the errand of choosing a subset of applicable features that could be utilized in developing a prototype. Medical datasets are huge in size; hence some effective optimization techniques are required to produce accurate results. Optimization algorithms are a critical function in medical data mining particularly in identifying diseases since it offers excellent effectiveness in minimum computational expense and time. The classification algorithms also produce superior outcomes when an objective function is …


Diabetes Prediction Using Machine Learning : A Bibliometric Analysis, Vijayshri Nitin Khedkar, Sina Patel Jan 2021

Diabetes Prediction Using Machine Learning : A Bibliometric Analysis, Vijayshri Nitin Khedkar, Sina Patel

Library Philosophy and Practice (e-journal)

Diabetes Mellitus is a chronic disease which can be deadly if undetected for longer time. Artificial intelligence is helping in healthcare industry to a great extent by helping professionals to derive useful information and patterns from data available in various formats: Survey data, electronic health records, laboratory data.. Diabetes, if predicted at an early stage can help many people to save lives and cost for healthcare. Decision-making, diagnosing and predicting diabetes have become an increasing trend in recent years. There are numerous publications in diabetes prediction and yet it’s an ongoing research topic with availability of new data and methods. …


A Bibliometric Analysis Of The Tea Quality Evaluation Using Artificial Intelligence, Amruta Bajirao Patil Research Scholar, Mrinal Rahul Bachute Ph.D Guide And Associate Professor Jan 2021

A Bibliometric Analysis Of The Tea Quality Evaluation Using Artificial Intelligence, Amruta Bajirao Patil Research Scholar, Mrinal Rahul Bachute Ph.D Guide And Associate Professor

Library Philosophy and Practice (e-journal)

ABSTRACT: In this study, we have carried the bibliometric review of the “Tea quality evaluation using artificial intelligence”. Only the Scopus database is under consideration for this analysis. To coat all possible research approaches here we have generated the valid search queries which excludes irrelevant literature. The result analysis shows overall 602 useful papers are available on the tea quality evaluation out of which 12 papers are specifically on artificial taste perception of tea. This survey illustrates the emerging trend of quality evaluation and assurance (QEA) in tea industry and its importance. As the production of tea is huge, storage …


Effect Of Information Technology Capital: Technology Infrastructure, Database, Software, And Brainware Toward Optimize The Use Of Information Technology (Case Study : Uin Sunan Ampel Of Surabaya), Rismawati Br Sitepu, Ilham M.Said, Tanti Handriana, Praptini Yulianti Jan 2021

Effect Of Information Technology Capital: Technology Infrastructure, Database, Software, And Brainware Toward Optimize The Use Of Information Technology (Case Study : Uin Sunan Ampel Of Surabaya), Rismawati Br Sitepu, Ilham M.Said, Tanti Handriana, Praptini Yulianti

Library Philosophy and Practice (e-journal)

This research was conducted to determine the extent of the influence of technology infrastructure costs, software costs, database costs and brainware costs to increase the information technology budget of the Sunan Ampel State Islamic University in Surabaya and efficient use of the budget. The purpose of this study is to prove that there is a positive and significant influence of technology infrastructure costs, software costs, database costs and brainware costs to increase information technology budgets by using validity and reliability tests and classic tests such as the Normality test, Multicollinearity test, autocorrelation test, Heteroskedasticity test , and Linearity test. This …


A Literature Survey And Bibliometric Analysis Of Application Of Artificial Intelligence Techniques On Wireless Mesh Networks, Smita R. Mahajan Mrs., Harikrishnan R Dr., Ketan Kotecha Dr. Jan 2021

A Literature Survey And Bibliometric Analysis Of Application Of Artificial Intelligence Techniques On Wireless Mesh Networks, Smita R. Mahajan Mrs., Harikrishnan R Dr., Ketan Kotecha Dr.

Library Philosophy and Practice (e-journal)

Recent years have seen a surge in the use of technology for executing transactions in both online and offline modes. Various industries like banking, e-commerce, and private organizations use networks for the exchange of confidential information and resources. Network security is thus of utmost importance, with the expectation of effective and efficient analysis of the network traffic. Wireless Mesh Networks are effective in communicating information over a vast span with minimal costs. A network is evaluated based on its security, accessibility, and extent of interoperability. Artificial Intelligence techniques like machine learning and deep learning have found widespread use to solve …


Bibliometric Review On Image Based Plant Phenotyping, Shrikrishna Ulhas Kolhar, Jayant Jagtap Jan 2021

Bibliometric Review On Image Based Plant Phenotyping, Shrikrishna Ulhas Kolhar, Jayant Jagtap

Library Philosophy and Practice (e-journal)

Plant phenotyping is a quantitative description of structural, physiological and temporal traits of plants resulting from interaction of plant genotypes with the environment. A rapid development is in progress in the field of image-based plant phenotyping. Plant phenotyping has wide range of applications in plant breeding research, plant growth prediction, biotic and abiotic stress analysis, crop management and early disease detection. The main motive is to provide detailed bibliometric review in order to know the available literature and current research trends in the area of plant phenotyping using plant images. The bibliometric analysis is primarily based on Scopus, web of …


Predictive Maintenance Of Bearing Machinery Using Simulation- A Bibliometric Study, Karan Gulati Mr., Keshav Basandrai Mr., Shubham Tiwari Mr., Pooja Kamat Prof., Satish Kumar Dr. Jan 2021

Predictive Maintenance Of Bearing Machinery Using Simulation- A Bibliometric Study, Karan Gulati Mr., Keshav Basandrai Mr., Shubham Tiwari Mr., Pooja Kamat Prof., Satish Kumar Dr.

Library Philosophy and Practice (e-journal)

Modelling is a way of constructing a virtual representation of software and hardware that involves a real-world device. We will discover the behaviour of the system if the software elements of this model are guided by mathematical relationships. For testing conditions that may be difficult to replicate with hardware prototypes alone, modelling and simulation are particularly useful, especially in the early phase of the design process when hardware might not be available. Model-based approach in MATLAB-Simulink can be useful for predictive maintenance of machines as it can reduce unplanned downtimes and maintenance costs when industrial equipment breaks. Through this bibliometric …


Assessment Of The Privacy And Security Practices Of The Indian Academic Websites, Chanlang Ki Bareh Jan 2021

Assessment Of The Privacy And Security Practices Of The Indian Academic Websites, Chanlang Ki Bareh

Library Philosophy and Practice (e-journal)

The study presents the comprehensive assessment of the Indian Institutions of National Importance (IoNI) website’s privacy and security practices. These 130 IoNI websites were selected because of the status conferred to premier institutions by the Government of India. This empirical study was based on webometric methods that assessed the quantitative aspects of information technologies structures on the web. The study also employed content analysis for analyzing the sites privacy policies. The assessment reveals numerous security vulnerabilities like the adoption of HTTPS may not always provide better protection to their users because 39 websites do not have TLS encrypted connection; still …


Demystifying Artificial Intelligence Based Behavior Prediction Of Traffic Actors For Autonomous Vehicle- A Bibliometric Analysis Of Trends And Techniques, Suresh Sudam Kolekar, Shilpa Shailesh Gite, Biswajeet Pradhan Jan 2021

Demystifying Artificial Intelligence Based Behavior Prediction Of Traffic Actors For Autonomous Vehicle- A Bibliometric Analysis Of Trends And Techniques, Suresh Sudam Kolekar, Shilpa Shailesh Gite, Biswajeet Pradhan

Library Philosophy and Practice (e-journal)

Background: The purpose of this study is to examine, using bibliometric methods, the work done on behavior prediction of traffic actors for autonomous vehicles using various artificial intelligence algorithms from 2011 to 2020.

Methods: Using one of the most common databases, Scopus, numerous papers on behavior prediction of traffic actors for autonomous vehicles were retrieved. The research papers are being considered for the period from 2011 to 2020. The Scopus analyzer is used to obtain some results of the study, such as documents by year, source, and country and so on. VOSviewer Version 1.6.16 is used for the analysis of …


Quantum Clustering Drives Innovations: A Bibliometric And Patentometric Analysis, Shradha Deshmukh, Preeti Mulay Jan 2021

Quantum Clustering Drives Innovations: A Bibliometric And Patentometric Analysis, Shradha Deshmukh, Preeti Mulay

Library Philosophy and Practice (e-journal)

The paper presents a bibliometric analysis from 2014 to 2020 of the emerging and engaging field of quantum computing called Quantum Machine Learning (QML). The study discusses the analysis results from the comprehensive high indexed databases worldwide such as Institute of Electrical and Electronics Engineers (IEEE), Scopus, Web of Science (WOS), Google Scholar and the Association for Computing Machinery (ACM). Tools like iMapbuilder, IBM and SPSS Statistics are used to provide meaningful insights and flawless representations of the extracted data. There has been little research to provide a macroscopic overview of renowned authors, subject areas, funding agencies and patent applications …


Hr Process Automation: A Bibliometric Analysis, Shubham Mishra, Monica Kunte, Netra Neelam, Sanjay Bhattacharya, Preeti Mulay Jan 2021

Hr Process Automation: A Bibliometric Analysis, Shubham Mishra, Monica Kunte, Netra Neelam, Sanjay Bhattacharya, Preeti Mulay

Library Philosophy and Practice (e-journal)

Automation is interpreted as the replacement of manual operations by electronics and computer-controlled systems. Human resource management is an indispensable part of every firm be it the space of retail, healthcare, education or any other sector. Activities such as hiring new workers, training, or making sure that local labour laws are obeyed with HR processes and are a crucial part of every organisation. HR has typically been believed of as an extremely manual department procedure. Employees are accustomed to doing this manually and getting the job done themselves. But everything around the HR processes are changing rapidly. HR Automation is …


A Bibliometric Analysis On Optimization Of Application Layer Protocols In The Internet Of Things, Sagar Jaikar Jan 2021

A Bibliometric Analysis On Optimization Of Application Layer Protocols In The Internet Of Things, Sagar Jaikar

Library Philosophy and Practice (e-journal)

Internet of Things (IoT), getting popular day by day, thanks to the every object that has been made intelligent and started communicated among themselves with ease. These objects are equipped with sensors and capable of connecting and exchanging the application data over the Internet. While the application data is getting exchanged among these intelligent objects smoothly, there are various concerns with these intelligent objects like they are constrained when it comes to resources like memory, processing capability, power consumption etc. In this regard many attempts are made to enhance or to optimize existing messaging protocols so that we can get …


Clustering School Libraries In Indonesia Using C4.5 And K-Means Algorithm, Dian Wardiana Sjuchro, Rulinawaty Rulinawaty, Fathurrahim Fathurrahim, Danu Eko Agustinova, Rima Herlina S Siburian, Pandu Adi Cakranegara, Ardianto Ardianto, Robbi Rahim Jan 2021

Clustering School Libraries In Indonesia Using C4.5 And K-Means Algorithm, Dian Wardiana Sjuchro, Rulinawaty Rulinawaty, Fathurrahim Fathurrahim, Danu Eko Agustinova, Rima Herlina S Siburian, Pandu Adi Cakranegara, Ardianto Ardianto, Robbi Rahim

Library Philosophy and Practice (e-journal)

This research is to analyze the data mining by analyzing clusters formed. This study was about determining the number of libraries available at the primary and junior high school levels in Indonesia. The main role of libraries is in the current implementation of quality education. The data are from the central statistics agency which contains 34 records indicating the number of libraries at the primary and junior high school levels. The proposed method is a combination of the C4.5 and k-means methods. clustering is performed based on the number of clusters (k). Thus, the results will be classified according to …


A Bibliographic Survey On Detection Of Covid-19 Patients Using Various Sensors In The Field Of Iot, Rutuja Patil, Akshay Sharma, Divya Bhatia, Mugdha Kulkarni, Yashika Patl Dec 2020

A Bibliographic Survey On Detection Of Covid-19 Patients Using Various Sensors In The Field Of Iot, Rutuja Patil, Akshay Sharma, Divya Bhatia, Mugdha Kulkarni, Yashika Patl

Library Philosophy and Practice (e-journal)

Due to a pandemic situation arising from the past few decades and the covid -19 patients are increasing at the rapid rate. Looking in the near future an IOT model is build which can be useful for people in coming years and allows rapid testing and efficient testing methodologies using various sensors such as Temperature, Respiration, RFID etc which takes various parameters. The study focuses around 412 scientific documents such as Journals, articles, book chapters and Patents in various papers. These documents are extracted from the scopus databases after querying with the keywords related to covid patients and IOT. The …