bluuebunny/crossref_metadata_2025_split huggingface dataset:
GMJ Coding Using Even Felicicitous Labeling and Two Star Graphs
Authors: Sudhakar S , Ranjani T , Swathy V , Balaji V 
Published: July 2021

Abstract
In this paper, we have found a technique for coding a secret messages by applying the even felicitous labeling on the two star graph K
1,φ ∪ K
1,ψ using GMJ (Graph Message Jumbled) code. We provided two illustrations for converting plain text into cipher text (picture coding) and method for labeling the felicitous graph is described.
Privacy Preserving Message using Padovan Sequence
Authors: Angel Sherin D A , Maheswari V , Balaji V 
Published: July 2021

Abstract
An evolution of wireless technology created tremendous change in this era. Large quantities of messages are registered, altered and transmitted through wireless or network cable by fixed devices. Privacy of the transmitted message is a main concern in networks. A diversified encryption algorithm has been suggested in these years to preserve the message. We take the cyclic graph and label the edges with the Padovan sequence. The computation of the closed trail matrix is applied in matrix inversion algorithms to get the cipher text. The usage of the symmetric key is applied in the encryption and decryption process. This paper proposes matrix inversion algorithms to transfer the message from sender to receiver. And also we applied SageMath algorithm for drawing the cyclic graphs. The result shows that the proposed algorithm gives enhanced security and efficiency when correlated with existing algorithms.
A Qualitative Research on the Impact and Challenges of Cybercrimes
Authors: Krishna Viraja V , Purandare Pradnya 
Published: July 2021

Abstract
We are in the digital era where we cannot imagine our lives without the Internet. Technology has become an integral part of our daily routine, and with the significant rise in technology, we see huge growth in cybercrimes. The use of information is increasing every day with the advent of more social media platforms that utilize millions of data per second globally. These data include sensitive information such as trade secrets, privacy, and security issues. The number of crimes is increasing day by day, and these cyber crimes can impact an individual, an organization, or even a whole nation. The research study aims to spread awareness about cybercrimes by offering a detailed analysis of the awareness, impact, and challenges to anyone vulnerable to cybercrime. The methodology adopted to study and analyze the impact and challenges caused due to cybercrimes is qualitative research. On a concluding note, the study will present suggestions to overcome the challenges and talk about the research’s future scope.
Assessment of the Impact of the Hybrid Software Development Approach
Authors: Gawade Shyam , Ramteke Vidyavati 
Published: July 2021

AbstractThe paper focuses on enhancing the current or modern software development practices in Information Technology (IT) organizations. The research paper aims to address the gap between various hybrid software development approaches and existing practices that contribute to software development practices. The methodology adopted here is to obtain data from software professionals and understand how the current practices in the software development industry have contributed to the productivity of the employees and the IT organization, which has been done with the help of a survey questionnaire and by analyzing existing research articles and papers on the software development practices. This research is a conceptual model focused on a modern hybrid approach for software development, rather than focusing on a single software development approach, which can help IT organization increase productivity and deliver business value beyond customer expectations. The cost to build and time to market a software product or a software service can reduce by integrating the required software development practices. Today, staying relevant in the competitive market can be made easier by choosing the best available software development practices, frameworks, and models to fit an organization’s value and knowledge system. The conceptual model aims to reduce the gap between various hybrid software development approaches and existing practices contributing to software development. The paper concludes by discussing the benefits of the hybrid software development approach and urge IT organizations to adopt it as per their software development requirements and customer requirements.
An Improved Scheme for Vehicular Platooning using Adaptive Acknowledgement Timeout method
Authors: Farooq Mohd Umar , Pasha Mohammad , Khan Sara 
Published: July 2021

Abstract
Platooning provides the potential for substantial benefits in terms of safety, energy conservation and cost reduction. Early analysis has already demonstrated that 65 percent of existing long-haul freight miles could feasibly form platoons, lowering the usage of cumulative vehicle fuel by 4 percent. The emergence of newer communication technologies like the vehicle-to-vehicle networking in the short-range paradigm and device to device communication in 5G paradigm can be used to setup virtual links among multiple vehicles like trucks to form platoons. The vehicular networks are prone to varying channel conditions due to high mobility of nodes. The present work addresses the issue of forming platoons using an adaptive acknowledgement scheme to offer better channel usage and less packet loss. It outperforms existing schemes that uses a static model for message exchange to form vehicular platoons.
Boltzmann–Dirichlet Process Mixture: A Mathematical Model for Speech Recognition
Authors: Rajesh Kumar T , Vijendra Babu D , Malarvezhi P , Velu C M , Haritha D , Karthikeyan C 
Published: July 2021

Abstract
This article deliberates a mathematical model for the estimation of speech signals probability density function. Speech recognition is analyzed using an integration of Boltzmann equations with Dirichlet Process Mixture sequences. Usually, environmental noise, white noise, echo noise interferes with the speech signal. So, the speech identification rate decreases abruptly. By estimating the noise sequences in the speech signal, the speech identification rate increases. Rather than using a conventional Gaussian Mixture Model (GMM) procedure to recognize a pure speech, an integration of mathematical equations of Boltzmann and Dirichlet Process Mixture is proposed in this article. An uttered speech signal is identified using mean, variance, and standard deviation generated by Boltzmann-DPM. For an added white, particle, shaver percentage of noises, the speech signal to noise ratio is improved and proved experimentally using the Nil filter, GMM filters, and Extended Kalman filter.
Flexible and Proficient Routing in Mobile Ad-Hoc Network
Authors: Padmanaban K , Velmurugan A K 
Published: July 2021

Abstract
Mobile ad hoc networks (MANETs) can be distinct as a gathering amount of mobile nodes which build the irregular network lacking assist of several network structures. Every mobile node entering together as host as well as a router also it transmits the data to receiver via multi-hop manner. The dynamic topography, node mobility, offers large amount of degree, self-organizing capacity that is a features of MANET. Owing to the scenery intends to improvement of routing is disputing chore for communication surroundings. In this paper, Flexible and Proficient Routing in MANET is introduced. Here, Routing can be achieved both multi-hop and multipath. In an efficient network, care to achieve both in the most optimized manner is essential. An analysis of when multi-hop data transmission is required and when multipath transmission can be used for efficient communication is analyzed. The results provide better routing efficiency in MANET.
Investigation of DSR protocol performance in Wireless MANET using Correlation Method
Authors: Rastogi Umang , Pattanaik Balachandra , Barani Sundaram B , Mishra Manish Kumar , Thirumoorthy Dhanabal 
Published: July 2021

Abstract
As we know already MANET means Mobile ad-hoc network that works made by two words Mobile and Ad-hoc Network collection of moving nodes shows mobile and kind of temporarily network which do not have any fixed point or centralised administration. Here assortment of nodes forms a network.it can be adjust mobility to bandwidth in high or low level. In this paper, we evaluate performance of DSR protocol. In this unique design shows the results in terms of how protocol changes quickly according to nodes movement along with compare by correlation method. The result of this paper is coming after analysing of different behaviour of DSR can be applied in other new protocols that are using DSR framework. In this paper I showed results in term of break time, PDF, delay, throughput etc by simulation. These simulation results are applied on correlation method and finding out in which point DSR protocol parameters are performing good performance. In this result shows when pause time is increases along with no of nodes then correlation will be high.
Best Practices for Ensuring Security in DevOps: A Case Study Approach
Authors: Desai Rajavi , Nisha T N 
Published: July 2021

Abstract
DevSecOps is an advancing area that is highly preferred in the field of Information technology. The main idea of DevSecOps revolves around how security could be integrated with DevOps. There exist certain tools and practices for implementing DevSecOps, but this area is not fully explored. The research serves to find out the best practices that could be implemented to enhance security in DevOps. The main objective is to provide best practices covering all the aspects of DevOps.The solutions provided in the research papers that were referred to, the results of these research papers, and reviews were considered for the study. From the data gathered a descriptive review of literature is formed and overviewed to develop all the possible effects and most widely used practices to implement DevSecOps the challenges that could be faced during DevSecOps implementation.
This paper aims to provide a range of options that could be implemented for enhancing the security of the system.
Smart survey on recent trends in water level, drought and water quality analysis system
Authors: Balajee J , Saleem Durai M A 
Published: July 2021

Abstract
Over 200 million yearly reports of diseases identified with scarce water and sanitation conditions, 5-10 million deaths occurred worldwide. Water quality checking has subsequently gotten important to supply clean and safe water. This survey work depicts the fundamental explanation behind the requirement for robust and productive Water level, Drought, and water quality control in the level framework, which will keep human assets healthy, sustainable and diminish water use for household purposes. Climate change and variability have so many significant impacts caused by the natural environment’s water system. Incredible methods, collection of water samples are tested alone and analyzed in water laboratories. However, it is not always easy to capture, analyze, and rapidly disseminate information to relevant users to make timely and well-informed decisions. The review work encompasses traditional methods based on Machine Learning (ML), and Deep Learning (DL) approaches.
Network Virtualization Incorporation and Projection System Technologies Using Block Chaining
Authors: Prasanna Srinivasan V , Viswanathan C , Sailaja P , Manimala G 
Published: July 2021

Abstract
With the proposed time-lock encryption method, mutually untrustworthy users will create a shared public key for the implementation in a completely distributed and asyncratic setting like internet or blockchain networks with time-critical privacy conservation applications such as e-voting or online auction. A “putting puzzles inside another puzzle” construction mechanism was proposed to resolve the probabilistic characteristics of the predicted key crack time. Experimental findings indicate that the solution proposed will deliver a more precise main break time, which would make it faster and more exact to reach the expected time limit. As described above, we can further estimate computing power by combining our scheme and the blockchain, to decode time-sensitive message. Miners are ready to supply under the updated PoW scheme.
Blockchain Infrastructure with Fragments Dependent Security Deposit Solution
Authors: Jaya R , Thirukkumaran R , Saravanan S , Sivabalan N 
Published: July 2021

Abstract
Blockchain is considered a shared ledger technology to be a viable alternative for heavily focused control process applications. However, most of the current blockchain networks are used for the proof of work called the Hash-Puzzle-Solving Consensus Protocol. The competition to solve the puzzle leads to high latency, leading directly to a lengthy cycle of transaction processing. One solution to this problem is the establishment of a shards blockchain network. In this article, we concentrate on the blockchain network and follow a consensus protocol on security deposits to explore the issue of how to reconcile the economic reward and incentive. The knowledge asymmetric dilemma between beacon and users is also posed by the intrinsic features of the blockchain, i.e. transparency and decentralization. The philosophy of the contract is used to describe the dilemma. The optimum incentives for the various types of validators as well as the required deposits will also be obtained. The flexible deposits may provide ample economic stimulus for participants relative to fixed deposits without sacrificing the safety incentives. Moreover, the results of simulation suggest that the contract theory strategy will optimize the effectiveness of the beacon chain and fulfil the participants’ reward compatibility and individual rationality.
Forex exchange using big data analytics
Authors: Sadhasivam Jayakumar , Arun M. , Deepa R , Muthukumaran V , Lokesh Kumar R , Prasanna Kumar R B 
Published: July 2021

Abstract
Analysis and Prediction of forex has gained immense value in today’s economy. The stock price prediction is a difficult process owing to the irregularities in stock prices. Every trader wants to know if the pattern has been repeated in past to know what the possible output of the current situation will be. The primary objective is to propose a methodology that will use a historical dataset and provide a more accurate prediction on stock price. In this paper, we will be using machine learning pattern recognition algorithm on forex tick dataset. The learned model then will produce pattern from the given dataset and on the pattern of increasing or decreasing, the buyer will initiate a buy or sell the stock respectively. We will use python coding to execute the algorithm in jupyter notebook. Matplot library will help us to perform graphing in the process and Numpy will be helpful in doing statistical analysis of data.
An Information and Predictive Credibility Control System Using Blockchain Technique
Authors: Shakkeera L , Arumugam S S , Jegan Amarnath J , Narasima Venkatesh A 
Published: July 2021

Abstract
Since then, the use of the blockchains for emerging technologies such as AI has been explored by leading community science, where several actors or agents work together to settle for consensus. To do this, data must be converted into blockchain information in blockchain storage. This blockchains are referred to as blockchains based on information. Information blockchains can be useful for effective implementation of risk management. A previous work implemented the blockchain probabilistic which renders blockchains dependent on information simpler. This article suggests an extension of the definition of the stochastic blockchain. It is suggested that a social marketing system should be developed for such blockchains. It is planned to satisfy the needs of a wide variety of applications. In general, we use it to detect relevant nodes and reduce its effect on the consensus mechanism of the stochastic blockchains. We test the system using multiple adversary tactics by applying it to a benchmark. We also evaluate unilateral decisions both with and without identification of malicious nodes. Both outcomes indicate a sustainable efficiency, in which the planned work outcomes and results are outstanding.
Smart Monitoring at the Surface of a Compact Blockchain Privacy Defence
Authors: Anantha Raman G R , Srinivas Porandla , Ashok Maram , Kiran Kumar Reddy P. 
Published: July 2021

Abstract
As surveillance video tracking (VSS) is being more and more deployed, more and more people are struggling with concerns related to breaches of data protection. While monitoring for crime dissuasion is favourable for the majority of the population, citizens do not embrace intrusive private life oversight. However, there is currently no easy-to-use and secure video monitoring system privacy preservation solution. This difficult topic has been shed light on the new progress of blockchain (BC) technology besides their Internet of Things (IoT) implementations. In this article we suggest a Blockchain based Lightweight Confidentiality Framework for edge cameras surveillance. It helps the VSS to monitor the discretion of individuals caught in the videos without violating them. The Lib-Pri system converts the used VSS into a system, which acts as a amalgamated blockchain system that controls integrity, handles bubbly keys, shares functions and endorses video entry. The policy implementation of data protection controls on the edge of computers is done without intervening with the network for real-time video analytics.
Intelligent MPPT Control for Wind Energy Conversion Systems Based on Reinforcement Learning
Authors: Pallekonda Arun Kumar , Muthukrishnan S. , Meenakshi B. , Saravanan R. 
Published: July 2021

Abstract
This article gives the best intellectual strength wind energy variable-speed point detection algorithm systems of transfer focused on improving instruction. Since reinforcing learning (RL) helps the variable - speed wind method to learn by direct contact with the environment. Awareness of factors of wind turbines or wind speed is not concerned. The first proposed MPPT control scheme facilitates a mix of the ANN and the Q-learning method to ensure the optimal coordination between PMSG engine speed and power. The proposed ANN-based RL MPPT control algorithm is supplied with simulation and experimental data.
A survey on modern day trends in water level and quality analysis system
Authors: Revathi N , Sengottuvelan P , Thimmia Raja J 
Published: July 2021

Abstract
Our goal is to explore consistent water quality systems, the dry season, and the water quality standard structure. In fact, river water will be destroyed by a variety of hazards such as capital sewage, agricultural waste and current waste, making it unusable for anthropological practice. Employees are expected to add web water testing and submit it to the evaluation office and then conduct assessments at different water boundaries, which is an exaggerated and long-term relationship. The light display shows the distribution of information between the central lights. Information is transmitted to the cloud via a mobile screen to reduce energy consumption. In addition, these assessments can be used to configure IoT infrastructure so that a decision can be made whenever there is a dramatic change in the assessment of any water quality toilets. The project is proposed for natural water observations under a network of remote sensors. It consists of three parts: information bulbs, a basic information center and a remote authentication focus. Valid multi-temperature sensor sensors must be aware of the bulbs to meet the requirements of the multi-water display and access to rest areas. Water is one of the basic compounds that affects the environment inside and out. In this way, the water control center is important to see water quality in large areas such as lake, stream, and hydroponics. Looking at the level of pollution, water surveys are becoming more widespread. Guidelines for identifying water quality essentially exacerbate the deterioration of water quality. To think about this substance, we need a web control center for water quality integration.
Novel Approach of Designing of a Low-Cost Artificial Ventilators
Authors: Narendra M , Sabhanayagam T , Martin Sahayaraj J , Senthil Kumar T 
Published: July 2021

Abstract
In addition to expected ventilator scarcity, induced by the disease outbreak of COVID-19, several organizations have Low-cost emergency breathing apparatuses have been developed. Pressure-cycled pneumatic ventilators are some of these devices that are easy to be using. The signaling or alert features are produced but often not included, on industrial ventilators. This article reports a simplified, simple electronic pressure-cycled respirator sensor & alert device that measures theoretically efficient parameters such as strain & respiratory rate & sounds of alarm; when the respirator malfunctions. A signal processing is for low complexity. A set of time-varying recursive envelope trackers are used in the algorithm to Signal control from a wired digital pressure sensor Trachea of the client. Measurements on each specimen such that it can operate on virtually every test on a microcontroller.
Machine learning based recommendation system on movie reviews using KNN classifiers
Authors: Ananda babu J , Vinay D R , Kumaraswamy B V , Basavaraddi Chethan Chandra S 
Published: July 2021

Abstract
Recommender systems are the systems that are designed to recommend items to the consumer depending on several different criteria. These systems estimate the most possible product that the consumers are most likely to buy and are of interest to. Companies like Netflix, Amazon, etc. use recommender services to allow their customers to find the right items or movies for them.In the current system recommendations, the content of ltering and collective ltering typically fall into two groups. The method is formerly Periment in our paper in all methods. We take film features such as stars, directors, for content-based ltering. Movie definition and keywords as inputs use TF-IDF and doc2vec for measuring the film resemblance. For the first time, Input to our algorithm is the film ranking encountered by users, and we use neighbours nearest K, as Factorization of matrix to estimate film scores for consumers. We find that teamwork functions better than content. Predictive error and estimation time ltering.
A Hybrid Structural Building Data Mining System Based On the Data Tracking Through Devices
Authors: Sangeerani Devi A , Ravi Prasad B , Loganathan Venkateshwaran , Saurav Swapnil 
Published: July 2021

Abstract
One of several traditional megaprojects is underground construction, given its long building time high building expense and possible risks. In tunnel engineering, trench boring devices are generally used to increase work performance and safety. During the tunnelling process, system has recorded vast volumes of tracking data to ensure building safety. The processing of vast real-time surveillance data also lacks successful techniques, and, in many situations, it must be performed manually that pose possible safety hazards. This paper suggests an approach for hybrid data mining (DM) to automatically process the TBM data for real-time tracking. Three separate DM strategies are merged in order to improve the operation of mining also to help security management. The sequential pattern method is executed to remove connections between TBM parameters in order to give people the expertise needed for an irregular on-site judging. A random forest model is built to identify training data in order to complement knowledge needed for building decision-making system. Finally, neural network models measure the penetration rate (ROP) in order to detect irregular data and to alert early. In the case of a tunnel project in China, the suggested technique was applied, and the findings of the application concluded that the approach offered a reliable and effective way of evaluating TBM protection management data in real time during buildings.