bluuebunny/crossref_metadata_2025_split huggingface dataset:
Paramount feat to sway and purge pollution by adopting computational intelligence
Authors: Et.al Prof. (Dr.) K. P. Yadav 
Published: April 2021

Human's can't imagine machines independent. From Vacuum Tubes technology to transistors and now with Integrated chip (IC), semiconductor technology defined another industrial revolution. The modern industrial twirl is already in transpire. Artificial intelligence (AI) is ushering in the new age of technologies that are super fast, more flexible, much potential, and initiating the world more digitally connected. No doubt the potential of IoT and AI to clean up the environment is cosmic. A computational concept like fuzzy logic, neural network, and machine learning will change the perspective of machine how they are used now. Our study reveals retrospect progression in the internet of things and artificial intelligence technologies to curb ecological pollution. New generation AI-enabled intelligent control systems are optimized with a complex algorithm to identify and eliminate pollutants for environmental clean-ups. With AI automation pollution management and mitigation, developments are examined. Adopting tech-savvy IoT and AI technology, dependency on machines can be seemly employed. For example; Transportation Management System using AI and IOT can be used to determine the best shipping routes by cutting fuel and gas consumption. To some extent ICT, wireless technology adds a contribution to reducing E-Waste. ICT together with IoT acts as a mediator while renting and sharing devices among people with different industries. AI helps to solve complex data analysis that supports Quick Decision System and policymaking. With intelligent robots, we can monitor and control acidification on Soil and water. The concept of neural network and fuzzy logic are greatly used to develop intelligent machines that predict different gas rates and chemical processes. AI machines that continuously check the pH level of water, Analysis Air Quality Index can be built to monitor water resources and atmosphere. Some AI robots can identify pollutants and helps to separate them. Now we are successful in a bifurcation of paper with plastic, Iron with aluminum. Such a method contributes to the waste management system appropriately. Our study also inspects the challenges of implementing AI, How data mining and big data management feed system.
Authentication/Authorization work with industry and governing authority. Inspection of a biased algorithm, poor network, and security. There is no new route to achieve our goal. Our goal is to achieve paramount measures with two concepts in mind, that are Humans assist machines and Machines assist humans to control and prevent pollution in these critical situations. Both humans and machines together find an instant solution with renting and sharing that helps to minimize ecosystem effluence
Relations of Pre Generalized Regular Weakly Locally Closed Sets in Topological Spaces
Authors: Et.al Vijayakumari T 
Published: April 2021

In this paper pgrw-locally closed set, pgrw-locally closed*-set and pgrw-locally closed**-set are introduced. A subset A of a topological space (X,t) is called pgrw-locally closed (pgrw-lc) if A=GÇF where G is a pgrw-open set and F is a pgrw-closed set in (X,t). A subset A of a topological space (X,t) is a pgrw-lc* set if there exist a pgrw-open set G and a closed set F in X such that A= GÇF. A subset A of a topological space (X,t) is a pgrw-lc**-set if there exists an open set G and a pgrw-closed set F such that A=GÇF.
The results regarding pgrw-locally closed sets, pgrw-locally closed* sets, pgrw-locally closed** sets, pgrw-lc-continuous maps and pgrw-lc-irresolute maps and some of the properties of these sets and their relation with other lc-sets are established.
Comparative Analysis of Dry-EDM and Conventional EDM in machining of Hastelloy
Authors: Et.al Apurva A Kulkarni 
Published: April 2021

Dry EDM may be a modification of the traditional electrical discharge machining (EDM) process during which the liquid dielectric is replaced by a gaseous medium. High velocity gas is supplied through it into the discharge gap. The flow of high velocity gas into the gap facilitates removal of debris and prevents excessive heating of the tool and work piece at the discharge spots. it's now known that aside from being an environment–friendly process, other advantages of the dry EDM process are low tool wear, lower discharge gap, lower residual stresses, smaller white layer and smaller heat affected zone.[1]
Keeping literature review into consideration, during this research, an effort has been made by selecting compressed gas as a dielectric medium, with Hastelloy as a work piece material and copper as a tool electrode. Conventional experiments were also performed. Experiments are performed using Taguchi DoE orthogonal array to watch and analysis the consequences of various process parameters to optimize the response variables like material removal rate (MRR) and gear wear rate (TWR).
A Mathematical Model For Maximum Likelihood Estimation To Atrazine Inhibits Pulsatile Gonadotropin-Releasing Hormone In Animals
Authors: Et.al R.Kalaiselvil 
Published: April 2021

In this study, we present a Extreme possibility estimation to analyze examine the strong ATR doses can work hypothalamic GnRH inhabiting life unlocks patterns in a style that is exactly the same as seen in the LH secretion. In presentation, inflammatory hormone levels are likely to work in response to GnRH. Finally, we decide that a computational model is based on the submission portion and we result with the medical refort . This paper will be very useful in the future for medical field.
A Watermark Approach for Image Transmission: Implementation of Channel Coding Technique with Security
Authors: Et.al G.Aparna 
Published: April 2021

In this paper an approach for secured digital image transmission with watermark is being proposed. The tremendous growth in technology for various applications demand secured communications across the wireless channels. Secured image transmission is the one of the prominent process in digital communication applications. A watermark is embedded in to the image data that is to be protected from unauthorized users. The cryptographic algorithms chosen for secured transmission led to the need for hardware implementation. In the process of secured image transmission turbo encoder is proposed for error correction. The proposed approach is realized in terms of hardware for the digital logic size, area and power consumption using Xilinx 14.2 software. Synthesizing and implementation of verilog code on the target device xc6slx150-2fgg484 for timing constraints, device utilization and performance details.
© 2020 Elsevier Ltd. All rights reserved.
Selection and/or Peer-review under responsibility of International Conference on Mechanical, Electronics and Computer Engineering
An intelligent Model for Defect Prediction in Spot Welding
Authors: Et.al Christopher Paulraj 
Published: April 2021

There are more than 30% defect in the spot welding of cars and randomly chosen cars are performed ultrasound or destructive testing. This makes the process very vulnerable and unpredictable. This results in huge reworks, productivity, monetary loss and negative impact on brand name.
This research paper presents the prediction of defect using machine learning models and as well forecasting models in spot welding through optimized methodology. This defect prediction model is useful in determining the defects that are likely to occur during spot welding. The forecasting model for process parameters data pattern, trends, etc. helps to identify the link between predicted defects. This model can evolve and improve over time by considering data from previous phases and history data of the spot welding cycle. Predicting the defects before testing begins improves the quality of the product being delivered and helps in planning and decision making for future spot welding.
The optimized defect prediction methodology in spot welding reduces the defects and predicted sample for testing which reduces the rework and increase the productivity, monetary value and brand name.
The experimental result shows that the spot-welding methodology has shown improvement over existing spot-welding method. Please see the six-sigma (Fig:13) chart for before and after improvement curve and value.
A Novel System for the Identification of Diabetic Retinopathy using Computer Based Statistical Classification
Authors: Et.al Sunil S S 
Published: April 2021

Diabetes Retinopathy (DR) is an eye disorder that affects the human retina due to increased insulin levels in the blood. Early detection and diagnosis of DR is essential in the optimal treatment of diabetic patients. The current research is to develop controls for identifying different characteristics and differences in colour retina and using different classifications. This therapeutic approach describes diabetes recovery from data collected from multiple fields including DRIDB0, DRIDB1, MESSIDOR, STARE and HRF. Here machine learning, neural networks and deep learning algorithms issues are addressed with related topics such as Sensitivity, Precision, Accuracy, Error, Specificity and F1-score, Mathews Correlation Coefficient (MCC) and coefficient of kappa are compared. Finally due to the deep learning strategy the results were more effective compared to other methods. The system can help ophthalmologists, to identify the symptoms of diabetes at an early stage, for better treatment and to improve the quality of life biology.
Awareness On Healthy Dietary Habits Among Prospective Teachers In Tirunelveli District
Authors: Et.al Dr.M.Maria Saroja 
Published: April 2021

Unhealthy dietary habits are related to diabetes, cardiovascular disease, and increased obesity risk over the past decades. It’s mainly due to the dietary factors and lack of physical activities among students. Unhealthy food eating habits and lack of food knowledge and health products leads to severe health problems in the young generation. They prefer food based on their taste, look especially in their psychological point of view not based on their healthy aspects. They often prefer outside foods especially from hotels and local food shops this may affect their immunity and increase the risk of various disease. The main objective of the present study was to find out the awareness on healthy dietary habits among prospective teachers in Tirunelveli district. Survey method was adopted by the investigators to conduct this study. The sample consists of 250 prospective teachers in Tirunelveli District. Healthy Dietary Habits Awareness Scale was developed by Maria Saroja, M and Michael Jeya Priya, E (2020) has been used for collecting data. Mean, SD, ‘t’- test and ꭓ2 was used for analysis the data. The investigators found that i) there is significant difference between rural and urban, nuclear and joint family prospective teachers in their awareness on the healthy dietary habits (ii) there is no significant difference between girls and co-education prospective teachers in their awareness on the healthy dietary habits (iii) there is no significant association between prospective teachers in their awareness on the healthy dietary habits with reference to the father’s educational qualification and mothers educational qualification.
Factors Affecting Millenials’ Acceptance of E-Money Application in Jakarta
Authors: Et.al Muhammad Reiza Indrawan 
Published: April 2021

The use of e-money applications such as OVO, Gopay, Dana, LinkAja and other e-money applications have significantly increased the volume of non-cash transactions in Indonesia, but, Indonesia’s non-cash transaction is still below its region’s countries. On the other hand, Millennial generations (Millenials) is reported as the largest users of e-money applications as well as the largest potential market in Indonesia, however, limited researches have been conducted to study the acceptance of e-money applications by Millennials. This research is intended to determine factors that have significantly influenced Millenial’s acceptance of e-money applications based on the theory of Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB), which covers variables include Perceived Usefulness, Perceived Ease Of Use, Trust, Subjective Norms, Attitude Toward Use and Behavior Intention. This research examined 100 Millenials in Jakarta, which selected with purposive sampling technique, and tested using PLS SEM statistical analysis method. The results show that Perceived Usefulness has the strongest positive effect on Attitude Toward Use, followed by Trust. While Attitude Toward Use and Subjective Norms have positive effect on Behavior Intention. Whereas, Perceived Ease of Use and Subjective Norms have no significant effect on Attitude Toward Use. It is concluded that Perceived Usefulness and Trust are the two main factors which influenced Millenial’s acceptance of e-money applications in Jakarta.
A Selective reliable communication to reduce broadcasting for cluster based VANET
Authors: Et.al R. Shiddharthy 
Published: April 2021

Vehicular Ad hoc Network (VANET) is one of the subset of Mobile Ad hoc Network (MANET) and it is a self-organised system with a group of vehicles, which are capable of short-range communication using On Board Unit (OBU). This unit is comprised with the vehicles that are possible to communicate with the nearby vehicles. VANETs rely on heavy broadcast transmission due to sharing data (messages) between the nearby vehicles about the traffic, collision and so on. This redundant information spoils the nature of VANET that affects the inter-vehicular communication, rebroadcasting and information on collision. This message transmission increases largely as the number of vehicles increases. This problem is typically named as broadcast storm and it is relatively reduced through the proposed Selective Reliable Communication (SRC) Protocol. Through a reliable communication, packets are retransmitted to reduce a number of transmission in the network within the acceptable level of QoS. The proposed SRC protocol automatically detect the vehicle clusters as “Zone of Interest”. Generally, the proposed protocol forwards the packets to the cluster-heads and the cluster-head forwards the packets to the cluster-members. The proposed protocol outperforms than the existing protocols in terms of Throughput, Packet Delivery Ratio (PDR) and Average delay.
Detecting Misleading Information on COVID-19 : A Machine Learning Perspective
Authors: Et. al. M.Arunkrishna 
Published: April 2021

Online Social networks become a popular way for sharing information among people. With increasing technology like Wi-Fi, Wi-Max ,3G/4G along with handheld devices like smartphones and tablets, popular applications such as Instagram, Facebook, Twitter and YouTube, becomes a dominant platform for news and entertainment. The extensive use of these social networks has an incredible influence on sharing news among people It holds both positive and negative effects of its own. Because of it’s high popularity,Online Social Networks(OSNs),has become the target for spammers. Also, false news for different political and commercial purpose has been evolving in the large count and spread worldwide. After the spread of COVID-19, there had been a lot of confusion and pitfalls on the topic of who to believe and who should be rejected. With the advent of time, several companies like Facebook, and Twitter joined hands to identify the news and regard it authentic or not. This effort was very hard for people, as the news are spreading at a rapid pace, no matter how many people are upon the task, the rate of expansion of news is always faster than the rate of evaluation of whether the news is authentic or not. Additionally, it can be observed that the news cannot be regarded as fake or true before careful evaluation. This evaluation is based on the results. So it is important to create a method for identifying fake news and distinguishing it from individuals. Thus, the paper evaluates several models in order to find the best fit with the highest level of accuracy.
When do we fly again? Managing Airlines in a Pandemic: Challenges and Recommendations
Authors: Et. al. Mark Loo 
Published: April 2021

This paper aimed to identify the challenges and propose recommendations to manage sustainability of the airline industry in a pandemic. When the World Health Organization stated Covid-19 as pandemic on March 11, 2020, governments in all countries ordered lockdowns, imposed travel restrictions, and required quarantine of 14 days for visitors and citizens upon arrival at the airport. The airlines industry came to a standstill. As Covid-19 is a recent and evolving phenomenon, the methodology employs secondary research based on data from authoritative sources such as the World Health Organization, International Civil Aviation Organization (ICAO) and International Air Transport Association (IATA) to identify the challenges. Peer reviewed research on past pandemics, especially the Severe Acute Respiratory Syndrome (SARS) in 2002-2003 help formulate recommendations to manage sustainability. The challenges are financial crisis, travel restrictions and customer distrust. The recommendations are positioning customer safety first, customer engagement, pricing strategy and collaboration with government. Limitations of the research and future research suggestions are presented
Formulation of Nao Equation According to Nao Framework
Authors: Et. al. A. H. Abdul Rasib 
Published: April 2021

Companies in manufacturing often find strategies to increase production efficiency and quality to be competitive in the long run. These strategies make companies remain profitable in a highly competitive market. Nonetheless, attempting to maintain a shorter production lead time is also vital as efficiency becomes a competitive priority. Whenever there are longer lead times, overtime is taken into account to meet the target. Overtime can be the most cost-effective way for companies to achieve their quality needs.
Nevertheless, if poorly managed, overtime could quickly outstrip financial gains. This study aimed to establish the manufacturing industry model of non-value-added overtime (NAO) and formulate NAO equations. In this regard, the NAO equations were acquired from the critical factors of NAO. The vital aspects of NAO were then presented through the activities flow in the input/output manufacturing concept. The study results indicated that the highest critical factors contributed to the three processes: pre-process, in-process, and post-process.
Relationship between Covid-19 pandemic and firm’s performance towards unemployment across countries
Authors: Saad Noriza Mohd 
Published: April 2021

As a result of the consequences of the Covid-19 pandemic, stock market players issued their quick response on how coronavirus has affected the performance of firms whereby most of the affected sectors are airlines, tourism, hotels, transportation and many more. This has led to an increase in the unemployment rate worldwide. Considering this global issue, this study was aimed at investigating the relationship between unemployment with a number of confirmed cases of Covid-19 and firms’ performance as well as the controlling factors across seven (7) countries. Secondary data were utilized with the data obtained from Bloomberg and Worldometers website. The dataset for dependent as proxy by unemployment rate and explanatory variables proxies by COVID-19 and firm’s performance were then tested using multivariate regression approach. Finally, from the study, it is suggested that an increase in the number of Covid-19 cases will affect business performance as controlled by macroeconomics factors which lead to a significant positive relationship between the unemployment rates in all the countries of this study. This factor may affect the government’s decision to implement the Movement Control Order (MCO), for instance by the Malaysian Government. By Covid-19 vaccine development in the market nowadays, hopefully, the spread can be mitigated and firms’ performance can return to normalcy to avoid increasing rate of unemployment in the world.
Layered-Division Multiplexing in 5G New -Radio for Terrestrial Broadcast Services
Authors: Et. al. MadhusmitaShial 
Published: April 2021

The 5G system can deliver simultaneouslyunicast services, multicast services and broadcast services using the conventional high-power high- tower (HPHT) infrastructure and with the same spectrum.The Third Generation Partnership Project (3GPP) LTEevolved -multimedia broadcast- multicast service (eMBMS) have new features designed for Terrestrial Broadcast services in Release 14. A broadcast service means only receive mode, only downlink no uplink or inserting a SIM card not needed. In free to air reception without a SIM card or without user device registration with the network the content can be received. This specification is standardized in release 15. In this study a two layer Layered-Division Multiplexing (LDM) is used in 5G new radio (NR).A significant performance could be analyzed in a 5G- NRMBMS by using two layer LDM system for delivering terrestrial broadcast services. The performance analysis demonstrated by computer simulations. Using two-layer LDM in 5G-NRMBMS system a high-qualityservice can be provided to both handheld and fixed devices
Aging In Teaching: What Does It Bring?
Authors: Et. al. Honesto Odi Camino 
Published: April 2021

This descriptive-correlation study inquires on the influence of length of experience in teaching on the organization values and on the teaching-related emotions of 251 public school teachers in a rural district in Southern Luzon, Philippines. The respondents were conveniently selected (participants in a district-wide in-service training). Data gathering was done during an in-service training using two scales: a 30-item scale that measures their and their perception of their colleagues’ and superiors’ adherence to organizational values and a 75-item scale that measures their teaching-related emotions. Spearman Rank Correlation was used to test the direction and magnitude of relationship between variables. Findings suggest the need to consider the affective aspects of the teachers in policy and program making as well as institution-based professional development program for teachers.
Social Learning Management System (Slms) For Technical Vocational Education And Training (Tvet) Program With Filtered Foul Words
Authors: Et. al. Raquel SALAZAR 
Published: April 2021

This study aimed to develop, deploy and evaluate a Social Learning Management System for the Technical Vocational Education Training (TVET) Programs with Filtered Foul Words as a tool for the faculty and students in the institution. Specifically, this sought to identify the challenges met and experienced by the respondents in conducting academic services and teaching-learning activities; levels of satisfaction on the features offered by the proposed system; and the issues encountered in the facilitation of the proposed system.
After developing SLMS, researcher-made questionnaire was administered to the randomly selected 338 students and 14 faculty members from the Polytechnic University of the Philippines Institute of Technology to evaluate the proposed system. Rate and Weighted Mean were utilized in treating the information.
The study reveals the challenges met and experienced by the respondents in conducting academic services and teaching learning activities. Aside from that, respondents are very satisfied in the usability, functionality, efficiency, reliability and portability features of the developed system. There were very minimal number of problems during the deployment of the system