bluuebunny/crossref_metadata_2025 huggingface dataset:
Imitating Simulation of Thermomechanical Processing of Metals
Authors: Et al. Akhmedov Akrom Burkhanovich
Published: April 2021

Thermomechanical processing of metals by cutting is a complicated technological problem that is difficult for mathematical simulation. The various phenomena observed in this process are so closely intertwined with each other and their interaction is so complex that eleven relatively independent theories not coming yet to a holistic unity are focused on the cutter edge. These are a theory of chip formation, metal cutting mechanics, a friction theory in metalworking, thermodynamics of cutting, a theory of wear and resistance of cutting tools.

A mesh-free method of Smoothed Particle Hydrodynamics (SPH) has been used for simulation in this paper. The SPH-based simulation in LS-DYNA is performed to predict cutting forces and plastic deformations for machining processing of metals by cutting. The results characterizing the distribution patterns of the strain tensor components and the temperature field at different points in time and space have been presented. The performed studies have demonstrated that it is possible to use changes in the temperature fields as a criterion for estimating the elastic-plastic deformations.
The Effectiveness of Teaching Social Sciences With Using Questioning Strategies in Enhancing Creative Thinking Skills Among Secondary School Students in Kuwait
Authors: Jaber Al-Mutairi Dr. Abdul Rahman
Published: April 2021

This study aimed to know the effect of questioning strategies to study psychology in the State of Kuwait on developing innovative thinking skills among high school students. The number of study individuals reached (83) students from the eleventh grade, distributed among four classes in two schools that were intentionally chosen , And the number of students of the experimental group reached (21) students, and the students of the control group (19), while the number of students of the experimental group reached (21) students, and the number of students of the control group was (22) students. The study tool was prepared by the researcher himself, which is a skills test Innovative thinking, after verifying their sincerity and reliability.

The results showed that there are statistically significant differences in favor of questioning strategies by combining the strategies of the associative / focused probe question, the summit question, and the plateau question in developing innovative thinking skills. As for gender, the superiority in favor of females in innovative thinking skills.

The interaction between them had no effect on that, and there were also no statistically significant differences attributed to gender.
Software Cost Estimation Technique Based On Multiple Artificial Neural Network Models
Authors: Hamed Wathq Asmael
Published: April 2021

Software cost estimation is an essential and important endeavor for the effective implementation of applications development project concerning its price & time plus its direction concerning its monitoring of autonomous applications development jobs. Software cost estimation is the prediction of software development endeavor and applications development time necessary to create a software job. The scheduling is of scheduling Resources, Budget, Time and several equally Precise software cost estimation is regarded as a tricky job as the information concerning the application project to be designed in the time of its beginning and completion remains obscure, thus drives the investigators from both professors and business to research in the exact same. What's more, it's always preferable for any approximation version to be inclusive because precision in estimation versions mutually lies together using their inclusiveness. So software cost estimation procedure being predictive in character hence requires for inclusiveness that will consequently bring inside that the precision. Within this paper, we'll present many versions for software cost estimation according to variants from Artificial Neural Networks which were completed within the research study. One of those models relies on exact choice of drivers as input into an Artificial Neural Network. And others derive from hybrids of Artificial Neural Networks with distinct Meta-heuristic algorithms as utilization of meta-heuristics in forecast issues such as that of program cost estimation is becoming more popularity. Everyone these versions have been experimented with variety of valid data collections.
The Effect of Leverage, Profitability and Company Size on Tax Avoidance (An Empirical Study on Mining Sector Companies Listed on Indonesia Stock Exchange Period 2013-2019)
Authors: Sari Diana
Published: April 2021

The interests of tax authorities who want to earn large continuous tax revenues are in contrast to the interests of companies that want to pay as little tax as possible. In addition, the phenomenon of differences in interests between taxpayers and the government, and the average tax ratio that has not reached the target can indicate tax avoidance activities. This study aims to determine the relationship between the effect of leverage, profitability and company size on tax avoidance in mining sector companies listed on the Indonesian stock exchange for the period 2014-2018. The factors tested in this study are leverage, profitability and firm size as independent variables; and tax avoidance as the dependent variable. The research method used in this research is explanatory and descriptive research methods. The population in this study were 47 mining sector companies. The data used are financial reports from a total sample of 21 companies in the mining sector. The results showed that leverage and company size have an effect on tax avoidance, while profitability has no effect on tax avoidance. For further research, this study suggests adding research model variables that have an influence on tax avoidance.
The Concept Of The Body In The Contemporary Global Formation
Authors: Mankhi Ahmed Khlaif
Published: April 2021

The current research deals with the concept of the body within the framework of the global formation because of its great potential for significance and expression according to the aesthetics of our current era within the conceptual and intellectual system intertwined between truth and imagination to reconfigure reality with the vision of the artist of the present age, so that the body has become a present element in the modern formation with a physical presence after If it was just copies of reality executed with different materials, then the artist invested the expressive energies of the body in the second half of the last century as distinct works of art.
Optimal Use Of ANN In The Integration Between Digital Image Processing And Encryption Technique
Authors: Fahdel Al-Abaidy Shaimaa Abbas
Published: April 2021

Recently An ANN is the very much powerful and strong technology for solving various real world-real time issues in area of image processing such as medical, research center etc. This paper represents the Artificial Neural network in combination with the image processing. The main aim of this paper is to study the ANN in integration with digital image processing and encryption technologies. So in this sense we discussed the basics of image processing, digital image processing, artificial neural network and encryption. With the help of proposed block diagram we discussed ANN with and without encryption. When an ANN is used with digital image processing several algorithms are available. Here we discussed the few algorithms in shortly with their iteration equation used at time of learning the ANN.
The Principle Of Good Faith In Civil Law
Authors: Rustamjonovna Mahsuda Tadjibayeva
Published: April 2021

The article explores the essence of the principle of good faith in modern civil law, the doctrines in which this principle is reflected, the functions of the principle of good faith in civil law, the need for the concept of good faith in civil law and problems in the application of this principle in the Civil Code. To this end, the author discusses not only the expression of this principle in doctrines, but also the extent to which it has been studied in civil law in foreign countries, and the expression of the principle of good faith in the current Civil Code and the draft of the new Civil Code of Uzbekistan.

In addition, a number of civil law relationships that have not been sufficiently explored have been studied, requiring the systematization of knowledge due to the different manifestations of the category of integrity, as well as the practical significance of this category in civil law relations. In this regard, this article

highlights the shortcomings of the principle of good faith in the current Civil Code of the Republic of Uzbekistan.
Types Of Legal Protection Of A Trademark (Service Mark) In Foreign Countries: The Example Of The Madrid System
Authors: Abdugopirovich Yuldashov Abdumumin
Published: April 2021

The article examines the place of a trademark (service mark) in the economy, the importance of the Madrid Protocol regarding the ownership of a trademark, its registration abroad and advantages. The Madrid Agreement and the Madrid Protocol also include such important issues as the need to adopt these documents. The article also describes the procedure and practice of registering a trademark abroad through the Madrid system, and also provides statistics on trademarks that have been registered using this system in recent years on the example of countries and individual entities. Including the article also discusses warning signs aimed at preventing the use of trademarks without the permission of the copyright holder.
Legal Regulation Of Social Networks: Necessity And Prospects (On The Example Of The Republic Of Uzbekistan)
Authors: Akmaljon ugli Khujayev Shokhjakhon
Published: April 2021

This article analyzes the scientific and practical issues of regulation of social networks, in particular, the issues of the need for legal regulation of social networks in the context of digital development of the Republic of Uzbekistan. Scientific novelty of research consists in the fact that the article was first explored the issues of forming legal basis of social networks, the regulation of relations in social networks, protection of rights and freedoms, interests of legal entities and the state of information security. The study is considered important from the point of view of the fundamental study of legal relations in social networks in Uzbekistan. The practical significance of this article is the possibility of using the results obtained in the course of the study in the implementation of the tasks provided for in the Laws of the Republic of Uzbekistan «On Informatization», «On the principles and guarantees of freedom of Information», «On Guarantees and freedom of access to information».
An Analysis Of The Strategic Effect Of Lnformation System On The Lmmunity Enhancement Of Gallbladder Patients
Authors: Lee Seong-Ran
Published: April 2021

This paper is to conduct a strategic analysis of the information system to improve the immunity system of gallbladder cancer patients. The subjects of the study were 146 people who visited internal medicine clinics located in Chungcheong Province from March 11 to May 13, 2019. The group of people who mediated the information system was classified as 53 people and those who did not mediated the information system were classified as 53 people.  The change in patient condition was analyzed as t-test following the application of the information system. The application of the body’s immune system to the information system was measured at 4, 8, 12, 16, 20 and 24 weeks. The results of this study are as follows. First,  LDL, a bad cholesterol decreased significantly after the information system was applied(t=3.72, p<.05). Second, the physical immunity continued to increase after the application of the information system. However, the body's immunity has tended to decline since the 16th. Therefore, to prevent the incidence of gallbladder cancer, diet management such as greasy and meat diet is required.
New Paradigm of Outcome-Based Education – A Higher Education Boon
Authors: G. Ganesh Narayanan Dr.K. Bala Sathya,
Published: April 2021

Outcome-Based Education (OBE) is a vibrant model and considered as a giant leap forward to improve higher education and assists all graduates contend with their global counterparts. It is a student-centered tutoring conception that focuses on measuring student performance through outcomes. The Higher Education Institutions should frame appropriate course outcome, program outcome and these outcome should correlate with institutional objectives. But the actual success lies in the effective implementation and rigid accreditation process to ensure the quality of education. Hence, it is imperative to analyze the strength, weakness of the model and practical difficulties in case of implementation. This study reveals basic concepts, Implementation Strategies and OBE Practices and standards. The OBE-Steering Committee in each HEI offers ideas to frame Newfangled Curriculum with finest outcome and effective teaching methods with ICT tools and evaluation pattern based on blooms taxonomy.
Design and Properties of Magnetically Controlled Sorbents
Authors: Butusova O.A.
Published: April 2021

In this work, the main parameters and advantages of magnetically controlled sorbents are considered. A large surface of nanodispersed magnetically controlled sorbents adsorbs large amounts of toxins, therefore, the consumption of magnetically controlled sorbents in each operation is insignificant. The ability to quickly replace the spent magnetically controlled sorbents in the detoxification apparatus with a new portion of magnetically controlled sorbents increases the reliability, simplicity and ease of use of the method under consideration. The small thickness of the sorbent layer and the availability of the sorbent surface provide almost instantaneous establishment of equilibrium concentrations, which significantly reduces the required processing time for the biofluid and increases the productivity of the purification process.
Application of Magnetically Controlled Sorbents for Detoxication
Authors: Butusova O.A.
Published: April 2021

This work shows the conditions that ensure the efficiency of the device for extracorporeal detoxification using new technologies using magnetically controlled sorbents. The above technique allows calculating and, accordingly, optimizing the parameters of one of the important components of this device - the unit for sorption and removal of toxins from biofluid. A weighted estimate of the required concentration of magnetically controlled sorbents in the biofluid being purified, the amount and concentration of an emulsion containing a magnetically controlled sorbent, and the duration of the procedure ensures the safety and effectiveness of this method of medical care.
Investigation of Effective Mechanical Characteristics of Nanomodified Carbon-Epoxide Composite by Numerical and Analytical Methods
Authors: Kaptakov M.O.
Published: April 2021

In this work, the mechanical properties of composite samples prepared using a conventional and nanomodified matrix were studied. The thickness of the monolayers in the samples was 0,2 μm. It was found in experiments, that the addition of fullerene soot as a nanomodifierled to an increase in the mechanical properties of the samples along the direction of reinforcement. At the same time, an improvement in the quality of the contact of the matrix with the fibers in the samples with the nanomodifier was observed: on the fracture surface, the nanomodified matrix envelops the fibers, while the usual matrix completely exfoliates. The obtained effects of changing the strength of composites can be associated, among other things, with a change in the level of residual stresses arising in composites during nanomodification. Analytical and numerical modeling methods are used to explain these effects.
Application of Topsis Reverse Logistics Operating Method
Authors: Kumar Amit
Published: April 2021

Coordination’s re-appropriation is becoming increasingly necessary because more and more organizations worldwide are unable to deal with their troubling versatile chains, re-appropriate exercises in coordination with the outsider coordinators (3PL) or professional co-operatives in coordination. Through redistributing teamwork exercises, businesses will focus on their business tasks at the core while at the same time achieving economic productivity and enhancing transport delivery and customer loyalty. Transport structure and the board of directors are of fundamental benefit to 3PLs. You can transport your own armada or haggle with at least one external carriers. In addition, 3PLs have traffic light inbound and outbound. To boost the courses, transport uses various transport methods and administration of installations. Switch coordination is one form of coordination that has an important impact on the board through ecological implementation and growing client awareness. The purpose of this paper is to enable heads of organization to determine most appropriate invert collaboration modes of operating with the complex models. There are three basic work method of coordinating for big corporations: self-supporting, joint endeavor and redistribute. To rank the other options, we applied TOPSIS as a dynamic apparatus. At long last, a model has been delineated to feature procedural execution of proposed model.
Development of Solar-Powered of Sensors Based Smart Waste Monitoring System
Authors: A.Nagavardhan N.Dinesh, M.Gopla D  Anirudh Polaiah Bojja, Pamula Raja Kumari,
Published: April 2021

Dustbins (or Garbage Bins, Trash Cans, whatever you name them) are small containers of plastic or metal used on a temporary basis to store trash (or waste). They are also used for the collection of waste in houses, workplaces, highways, parks, etc. Littering is a major crime in some countries, and public waste bins are also the only way to dispose of small waste. Usually, using different bins for handling wet or dry, recyclable or non-recyclable waste is a common practice. From an ETS perspective, smart waste collection can help municipalities and private waste management companies avoid the need for collection sites, waste disposal facilities and waste treatment plants. As communities increasingly rely on smart city technology to improve, among other things, the quality of life of their residents and the environment, city leaders recognize that smart waste management can also help them achieve sustainability goals such as zero waste and improve services to residents, while improving service to residents. As an example, Development of Some solar-powered bins and recycling bins are already equipped with sensors that analyze data on what is disposed of or recycled and notify collectors when the bin is too full and needs to be picked up. These developed Smart waste management solutions use sensors placed in waste bins to measure levels, notify municipal waste collection services, when the bins are ready to be emptied, and also notify municipal waste collection with a ton has been emptied. Therefore, the solar-powered of sensors based smart waste monitoring system is more and more useful to the current smart cities policies under the smart city project works.
Design and Analysis of a Uniform Meander RF MEMS Switch
Authors: K Ch Sri Kavya, K Sarat Kumar C Leela Mohan,
Published: April 2021

This paper projected to uniform meander RF MEMS capacitive shunt switch design and analysis. The less pull in voltage is obtained in flexure type membrane by proposed RF MEMS Switch. The materials selection for the dielectric layer and beam is explained in this paper and also shown the performance depends on materials utilized for the design. The good isolation of -31dB  is achieved for the pull-in voltage of 11.97V with a spring constant of 2.38N/m is produced by the switch and is obtained by the optimization process at a frequency of 38GHz.
Estimation and Validation of Land Surface Temperature by using Remote Sensing & GIS for Chittoor District, Andhra Pradesh
Authors: Dr. S.Varadarajan A. Rajani,
Published: April 2021

Land Surface Temperature (LST) quantification is needed in various applications like temporal analysis, identification of global warming, land use or land cover, water management, soil moisture estimation and natural disasters. The objective of this study is estimation as well as validation of temperature data at 14 Automatic Weather Stations (AWS) in Chittoor District of Andhra Pradesh with LST extracted by using remote sensing as well as Geographic Information System (GIS). Satellite data considered for estimation purpose is LANDSAT 8. Sensor data used for assessment of LST are OLI (Operational Land Imager) and TIR (Thermal Infrared). Thermal band  contains spectral bands of 10 and 11 were considered for evaluating LST independently by using algorithm called Mono Window Algorithm (MWA). Land Surface Emissivity (LSE) is the vital parameter for calculating LST. The LSE estimation requires NDVI (Normalized Difference Vegetation Index) which is computed by using Band 4 (visible Red band) and band 5 (Near-Infra Red band) spectral radiance bands. Thermal band images having wavelength 11.2 µm and 12.5 µm of 30th May, 2015 and 21st October, 2015 were processed for the analysis of LST. Later on validation of estimated LST through in-suite temperature data obtained from 14 AWS stations in Chittoor district was carried out. The end results showed that, the LST retrieved by using proposed method achieved 5 per cent greater correlation coefficient (r) compared to LST retrieved by using existing method which is based on band 10.
Towards Intelligent Machine Learning Models for Intrusion Detection System
Authors: P V R N S S V Sai Leela, Bankapalli Jyothi Pullagura Indira priyadarsini,
Published: April 2021

The Internet has become an important resource for mankind. Explicitly information security is an interminable domain to the present world. Hence a more potent Intrusion Detection System (IDS) should be built. Machine Learning techniques are used in developing proficient models for IDS. Imbalanced Learning is a crucial task for many classification processes. Resampling training data towards a more balanced distribution is an effective way to combat this issue. There are most prevalent techniques like under sampling and oversampling.In this paper, the issues of imbalanced data distribution and high dimensionality are addressed using a novel oversampling technique and an innovative feature selection method respectively. Our work suggests a novel hybrid algorithm, HOK-SMOTE which considers an ordered weighted averaging (OWA) approach for choosing the best features from the KDD cup 99 data set and K-Means SMOTE for imbalanced learning. Here an ensemble model is compared against the hybrid algorithm. This ensemble integrates Support Vector Machine (SVM), K Nearest Neighbor (KNN), Gaussian Naïve Bayes (GNB) and Decision Tree (DT). Then weighted average voting is applied for prediction of outputs. In this work, much Experimentationwas conducted on various oversampling techniques and traditional classifiers. The results indicate that the proposed work is the most accurate one among other ML techniques. The precision, recall, F-measure, and ROC curve show notable outcomes. Hence K-Means SMOTE in parallel with ensemble learning has given satisfactory results and a precise solution to the imbalanced learning in IDS. It is ascertained whether ensemble modeling or oversampling techniques are dominating for Intrusion data set.
Ethnocentrism: Enemy of Productive and Happy Multicultural Workplace
Authors: Avnish Sharma Aneesya Panicker,
Published: April 2021

Organizations and professionals are usually unaware about the fundamental rationale behind workplace ethnocentrism. Due to globalization today’s workplace are becoming multi-cultural, thus to address and understand the intricacies of ethnocentrism and being sensitive towards the issue is the need of the hour. Effective management of culturally diversified workplace is significant point of concern. As it may germinate challenges before the organization, one such challenge is related with ethnocentric feeling among culturally diversified workforce towards each other. This paper will explain the concept of ethnocentrism at workplace, the psychology of ethnocentric tendency and the various problems that an ethnocentric view presents before the multicultural organization while dealing with culturally diversified employees by synthesizing various research studies done in this area, comprising of examining various approaches to ethnocentric tendency. It also answers why diversity at workforce that exemplifies a changing world and contemporary workplace which is vital for creating competitive work environment that enhance work productivity. It will also discuss the implication of ethnocentrism in multicultural organizations and how to avoid the intricacies of ethnocentric phenomenon and resultant conflicts and disruptions arising at the workplace.
Consumer Perception about Selected Aspects of Global and Local Brands
Authors: Singh Dr. Trilok Pratap
Published: April 2021

The aim of this paper is to examine the relationship between consumer brand equity (CBE). This work examines the gaps between global and local brands in the Indian market. Attitudes towards items around the world and the casual clothing brand of the Indian market are being investigated. Brand equity, consisting of brand identity, impact on the perception of consumer products regardless of age (people, inclination to local brands, personal experience, costs, advertising, sponsorships and endorsements) are recognized. A total of 255 students took part in the survey. This research shows that Indian consumers perceive global and local brands differently based on brand meaning.
Happiness and Positivity at Workplace in Context of Spirituality: A Conceptual Framework
Authors: Dhamija Aruna
Published: April 2021

Happiness when associate with spirituality in the workplace may be one of the hardest tasks for the employees who have ever witnessed. The potential threat to manage work with happiness in every profession due to competition, expectations and new challenges has engulfed the organizations by now. Employees react differently in their style that depends on how much the individual is spiritual and reflecting happiness at the workplace. This paper attempts to determine the ways to remain happy at the workplace with the help of the Alexander Krolof model. The purpose of this study is to manage the difficult situation and bolster efficiency and effectiveness at the workplace.
Strength And Durability Properties Of Steel Fiber Reinforced Self Compacting Concrete
Authors: K.Tarunkumar, A. Jagadish Babu Sumith Vangara, S Siva Rama Krishna, Venu Malagavelli,
Published: April 2021

In this present study the durability characteristics of Steel fiber reinforced Self compacting concrete (SFRSCC) is determined for M30 and M40 grade concrete mixes. Along with durability strength and sorptivity is carried out and comparison is made with Plane self-compacting concrete (SCC) by chemical resistances, Initial Surface Absorption Test (ISAT).

In the present study, the rational mix design procedure for self-compacting concrete is used. SCC mixes contains large quantity of powder (material whose parcel size is 0.125 mm) to maintain the plastic yield of the properties of fresh concrete as per the general guidelines for design of SCC mixes given in the EFNARC (2005). The present project consists of two phases. In the first phase, SCC mixes for different grades are developed without steel fibers and with steel fibers. The mechanical properties like compressive strength of the different grades were studied. In the second phase, based on the experimental results, durability properties were studied with the using of specimens of size 100 mm × 100 mm × 100 mm. Durability studies like Acid attack factors, Acid-Durability factors, Sulphate attack factors, Sorptivity are studied for the Plain SCC and steel Fiber Reinforced SCC and a comparison is made.
Vehicles for Open-Pit Mining with Smart Scheduling System for Transportation Based on 5G
Authors: Husam K Salih Juboori Mohanad F Jwaid,
Published: April 2021

In the Recent times, various technological enhancements in the field of artificial intelligence and big data has been noticed. This advancements coupled with the evolution of the 5G communication and Internet of Things technologies, has helped in the development in the domain of smart mine construction. The development of unmanned vehicles with enhanced and smart scheduling system for open-pit mine transportation is one such much needed application. Traditional open-pit mining systems, which often cause vehicle delays and congestion, are controlled by human authority. The number of sensors has been used to operate unmanned cars in an open-pit mine. The sensors haves been used to prove the real-time data in large quantity. Using this data, we analyses and create an improved transportation scheduling mechanism so as to optimize the paths for the vehicles. Considering the huge amount the data received and aggregated through various sensors or sources like, the GPS data of the unmanned vehicle, the equipment information, an intelligent, and multi-target, open-pit mine unmanned vehicle schedules model was developed. It is also matched with real open-pit mine product to reduce transport costs, overall unmanned vehicle wait times and fluctuation in ore quality. To resolve the issue of scheduling the transportation, we prefer to use algorithms based on artificial intelligence. In addition to four other models we are proposing a decomposition-based restricted genetic dominance (DBCDP-NSGA-II) algorithm, which retains viable and non-facilitating solutions in small areas in order to improve the convergence, distribution and diversity of traditional high-dimensional multi-objective fast-dominated genetic sorting Algorithms (NSGA-II).
Mechanism For The Development Of The Education Market In The Context Of Economic Transformation
Authors: Abdufattoevna Hamidova Aziza
Published: April 2021

This article describes characteristics of price and demand for educational services in the market of educational services, interdependence of education and production, structural changes in the system of higher education, characteristics of individual demand for educational services, internal and external factors, level of demand for educational services. The factors of individual competitiveness as an element were studied.
Automated Warehouse Management Wagon Depot
Authors: Nurmukhamedov Tolaniddin Ramziddinovich
Published: April 2021

: The research paper provides an analytical review of the rational organization of storage in transport, notes the works of scientists that are of great importance for the railway industry, and considers the issues of optimal placement of inventory items in the carriage depot of the Joint Stock Company "Uztemiryulyulovchi" ("Uzdzheldorpass"). The structure of a warehouse reflecting the main elements of technological sections, consisting of an unloading section, a cargo receiving section, a storage area (temporary and main), a picking section, a service and technical room, is presented. The developed mathematical models for determining rational placement, graphs of the effect of the life cycle of goods on the logistics cycle of replenishment of stocks, methods for determining the amount of supply of spare parts for mobile units when managing their stocks are presented.
The Perception of Green Promotion and Green Product: A Revolution on Consumer Buying Method
Authors: Singh Krishanveer
Published: April 2021

As the natural issues are deteriorating, the purchasers' pursuits approximately the ecological protection have added approximately the broadening in consumer shopping approach in the direction of a green way of existence. Along these strains, companies are making a flow into to make viable organic methodologies within the inexperienced marketplace enterprise. Green showcasing and green item development are valuable techniques which is probably utilized by using agencies to increment top hands and function an opportunity of studying the success of shoppers so on accomplish the affiliation's important imaginative and prescient. Green showcasing and green item improvement have specific blessings to companies regarding developing the maintainable herbal benefits and to create the familiarity with brand photograph of the business employer organization. This exam centers spherical the concept of inexperienced advertising and advertising and inexperienced object development, the particular consumer utilization close to green promoting and inexperienced item improvement, and eventually appears at the troubles that businesses have faced after they have unnoticed to execute inexperienced showcasing and green item development.
Evolution of the Modern Voter: A Branding Perspective
Authors: Kumar Dr. Amit
Published: April 2021

The concept of branding is to be found in every aspect of our lives and on a day-to-day basis. It has made its presence felt in almost every domain of human existence to such an extent that a sense of surety and assuredness seeps in whenever we buy a branded product over an unbranded one based on our positive experience related to its usage. The concept of branding could be applied to the field of politics as well in the modern times based on the evolution of politics. Political branding has found its place in the modern scheme of things when one talks about the contemporary facet of polity. Such a phenomenon is quite popular in the western democracies and has been a late entrant in the Indian scenario but the effectiveness of the same is second to none. This research paper would delve into the rise of political branding pertaining to India thereby exploring its effectiveness in turning the tide as far as existing patterns of voting are concerned which were very much visible in the last general election of the nation. The work would also focus upon the performance of the regional political brands and how the electorate of India has came to vote differently in the two sets of election, national and state.
Pilgrimage Tourism Satisfaction with Reference to Prayagraj and Varanasi: An Empirical Study
Authors: Sharma Ritesh
Published: April 2021

In this paper the researcher find out the relationship between the tourists and pilgrims visiting Prayagraj and Varanasi and their overall satisfaction. In order to conduct research, the researcher has taken in consideration various temples and the facilities prevailing in these two sites. These sites are the prominent pilgrimage destination of Eastern Uttar Pradesh. In order to improve the infrastructure many developmental projects are in the process which actually can develop the spiritual and pilgrimage tourism in these places. It is evident that Pilgrimage Tourism is the key which actually helps pilgrims to develop spiritually. Pilgrimage, Spiritual and religious tourism, is a type of travel which is totally inspired because of some pious goals. These goals are relative as well. It could to lead to spiritual growth, happiness and to have peace and which leads to final destination in life that is self- actualization or Moksha. Pilgrimage tourism is one of the ways to reach this goal. In India people from all across the globe come for various reasons, out of which Spirituality and growth in this area is the most common. Therefore, a study on Prayagraj and Varanasi was conducted to identify and explore Pilgrims inclination towards Spiritual Tourism Development in these places.  This study is an effort to discover visitor's inclinations, recognition & fulfillment with different type of services accessible at Varanasi and Prayagraj and also to find out the degree of fulfillment of pilgrims related to nourishment, transport offices, darshan/seva accessibility, books, etc In this study we used factor analysis to filter out the main variables and also to find the fundamental scope of pilgrim’s total satisfaction.
Perceived Social Support and Life Satisfaction: A Mediating Role of Quality of Life
Authors: Tarkar Dr. Preeti
Published: April 2021

The purpose of the study is to examine the association between perceived social support, quality of life and life satisfaction after retirement through empirical examination. A sample of 300 government retired professionals was selected for conducting the study. Snowball sampling technique was used to collect the data for the study. In order to collect the data, a questionnaire was administered. SEM through AMOS was applied for data analysis to test the hypothesis. Based on the findings that quality of life of retired persons is significantly affected by the social support. Further, results show that life satisfaction is significantly affected by the quality of life. Overall model is significant. In this research the relationships between life satisfaction, quality of life and perceived social support were established. In order to enhance the quality of life and life satisfaction, family and friends support plays an important role in old age.
Sentiment Analysis - An Assessment of Online Public Opinion: A Conceptual Review
Authors: Sainger Dr. Garima
Published: April 2021

This conceptual paper discusses sentiment analysis as a technique of research. It is a tool support decision for textual data collection and analysis available on the internet. It is also considered as a technique of data mining. It uses machine learning language to evaluate textual content. As a method of research, it is computational by nature and identify and categories opinions in the form of text. It targets a large data without any delay and hurdle and also facilitates the collection of data and its analysis. It helps domain leaders to collect real time data about emotions, opinion and attitude, without compromising, validity, reliability and generalizability. The paper also presents this as a way to divide quantitative and qualitative data through real time innovative ways of collection and analysis of data. The paper also discusses limitations one experience when applying this in their domain of research.
Effect Of Technological Parameters Of Production Of Tfp Preforms Of Gas Turbine Engine Blades On Their Physical And Mechanical Properties
Authors: Et al. Orlov Maksim Andreyevich
Published: April 2021

The article discusses the features of the destruction of carbon fiber reinforced plastics on the basis of tfp-preforms produced using various stitching mode parameters, and provides for studies of their physical and mechanical properties and structure. The effect of the carbon fiber laying density and the piercing step of the aramid yarn on the elastic-strength properties of composites is shown. The optimal technological parameters for creating tfp-preforms of gas turbine engine blades were chosen.
An Application on Women Safety Using Embedded Systems and IoT
Authors: Et al. K Hari Kishore
Published: April 2021

As far as women safety is concerned. Especially in our country the standards are going on decreasing day by day. According to National Crime Records Bureau (NCRB) the incidents of kidnapping and abductions rose to 64 per million to 74 per million which is devastating. If it goes on increasing like this, In the coming years there will be a tremendous rise in crime rate especially against women. It is our responsibility to protect our mothers, sisters, friends and each and every woman in our family. There are many devices in the market for this application that is sending locations and alert messages to the family of the user. But, all the devices need the response from the user when they are in danger to send the alert messages or such to their family or emergency services. But there might be situations where the user has zero chances to respond or send any alert messages to their family. We came up with a solution where the alert messages and current location of the user are sent automatically to their family when they are in danger without any response from the user. We achieved it using the pulse rate sensor PPG (Photoplethysmography sensor) using which we measured the abnormal rise in heart rate when the user is in danger. This paper deals with the functionality and implementation of our idea in Embedded Systems and IoT.
TFP Technology As Theadvanced Method Of Manufacture Of 3D Reinforced Preforms Frompolymer Composite Materials
Authors: Et al. Nelyub Vladimir Aleksandrovich
Published: April 2021

This paper contains an overview of world trends in the development of the TFP technologyenabling 3D printing of carbon fiber reinforced plastics. The review of the equipment used for the automated preformpatching is included. Primary factors restraining the large-scale implementation of the TFP technology in the manufacture are identified, and prospective research trends for further development of the technology are proposed.
Managing LearningThrough Mathematical Literacy Based on Cognitive Load
Authors: St Budi Waluya, Hardi Suyitno, Iwan Junaedi Andes Safarandes Asmara,
Published: April 2021

The object of mind is something that must be taught by the teacher to the student in the form of learning, or we know that the teaching is the process ofinteraction between students, between students and teachers, and learning resources in the learning environment so that with it we as educators need to optimize thestudent's thought process so that students can be optimal for information. There are three sources of how students obtain optimization in the learning process, namely: intrinsic cognitive load (dependingon the difficulty level of amaterial), extraneous cognitive load (depending on the presentation of thematerial) and germane cognitive load (whichis imposed by teaching methods that lead to better learning outcomes). the results showed that the interactive element is well managed and extraneous cognitive load is suppressed to a mable so that it creates a large enough germane cognitive load.
Machine Learning Era In Heart Disease Prediction- An Intense Learning Analysis With Big Data
Authors: Prasad Dr. Smrity
Published: April 2021

Machine learning and adaptation is a collection of machine learning methods consisting of several stacked layers and using data to explore hierarchical abstractions. As computer power has increased and large data has emerged, deep learning is an appropriate structure for cardiological tasks. The need to optimize medical treatment varies from diagnostic to therapeutic in the absence of a medical Centre. Machine learning systems are previous attempts to imitate medical practitioners in their protocol for solving medical tasks or for producing observations. These systems are known not to be useful as they require extensive design features and domain expertise in order to achieve the new cardio data highly accurate and difficult to map. Overall, with any technical progress, cardiometry and medicine are autonomous and become closer to an automated, detailed learning area. But no complete conceptual basis for in-depth education can be found. A thorough analysis of its internal functional qualities and constraints is required to enable the field to adopt its position on the disease of the heart.In this study, a large number of very complex machine learning concepts integrated into the cardio domain with big data have been studied over a very short time period of time.
Design of Deep Learning-based Technology for Place Image Collecting
Authors: Jang Jin-wook
Published: April 2021

This research study designed a location image collecting technology. It provides the exact location information of an image which is not given in the photo to the user. Deep learning technology analysis and collects the images. The purpose of this service system is to provide the exact place name, location and the various information of the place such as nearby recommended attractions when the user upload the image photo to the service system. Suggested system has a deep learning model that has a size of 25.3MB, and the model repeats the learning process 50 times with a total of 15,266 data, performing 93.75% of the final accuracy. In a performance test, the final accuracy of the model is calculated 93.75%. This system can also be linked with various services potentially for further development.
A Study on Target Detection using Covariance Correlation Matrix of Spatial Adaptive Processing
Authors: Lee Kwan-Hyeong
Published: April 2021

In this paper, we study for direction of arrival estimation of the desired target in spatial adaptive processing system. The interference signal removed by using the optimal weight of the covariance correlation matrix in order to estimate desired target signal. The spatial adaptive processing system updates the weight of the direction of arrival algorithm to estimate the desired signal. The weight update use an adaptive algorithm such as MUSIC. The optimal weight is obtained by Lagrange multiplier and the covariance correlation matrix. The covariance correlation matrix applies signal phase matching and uses the output power spectrum of the direct of arrival algorithm to estimate the desired target direction. We compare the performance of the proposed method with the existing method by computer simulation. The existing method has poor resolution due to phase errors of 5o and -3o in the estimation of three targets [10o, 20o, 30o]. While, the method proposed in this study accurately estimated the desired three targets. This study proved that the proposed method is superior to the existing method as a result simulation result.
A Study on the Utilization of MobileElectronic Notice Service using Korean Digital Identity Guidelines
Authors: Kim Jong-Bae
Published: April 2021

Recently, due to the spread of infectious diseases, the demand for services in a non-connected environment is increasing worldwide. Identifying the service counterpart in such a non-face-to-face environment has become the most important task.In this paper, we examine the status of overseas personal identification systems and explain the Korean digital identity guideline. Using the Korean digital identity guideline, it presents the application plan of mobile electronic notification service that has delivery and proof effect. For personal digital identity, Korea identifies citizens based on a registration number (RN) that is uniquely assigned at birth. However, if the RN is leaked or exposed, the problem of personal privacy invasion has emerged, and in the end, due to personal information protection issues, RNs cannot be collected unless required by law. Therefore, connecting information (CI) was utilized as a digital identity capable alternative to RN to clearly identify users online.CI has the advantage of being encrypted as a 1:1 match to the RN and not being able to identify an individual even if leaked.The mobile electronic notification service is designed to accurately deliver information to the target person in a non-face-to-face environment using CI.This service uses CI to identify the recipient of the electronic document, and after receiving identification from the personal identity proofing agency (PIPA), the service can be verified by reading the information.In this paper, we propose a method to easily provide information in the non-face-to-face era by presenting a method to apply to mobile electronic notification service (MENS) using Korean user identification guidelines.Through the proposed method, it can be confirmed that a system can be established to facilitate the mobile electronic notification service, which has the same effect as the delivery of information online and offline in the non-face-to-face era.