bluuebunny/crossref_metadata_2025 huggingface dataset:
Changes in Cattle Rustling on Gender Relations Among the Pokot in West Pokot, Kenya
Authors:   Kenyatta University, Kimani Andrew Gitau , Okemwa Pacificah Kwamboka ,   Kenyatta University, Masiga Casper ,   Kenyatta University
Published: June 2021

Evidence of change in cattle rustling practice among pastoralist communities worldwide has been noted with globalisation, education, and modernisation, among other factors. However, there is little known about transformation in men and women's involvement in this practice in the wake of easy accessibility of small and light weapons and breakdown of the traditional leadership and control systems. This paper examined the transformation in cattle rustling practice among the Pokot community in West Pokot county. This study's target population included adult residents of the Pokot community, community elders, opinion leaders, political and administrative leaders, and local and international NGOs dealing with cattle rustling issues in West Pokot County. A multi-stage sampling technique was used to recruit 350 respondents. An unstructured questionnaire, a critical informant interview guide, a focus group discussion guide, and an observation guide were used to collect primary data. Qualitative data collected was analysed using patterns and critical themes of this particular objective. Quantitative data analysis was organised using the SPSS software version 2.0 and analysed using various descriptive statistics. The findings indicated that transformation in cattle rustling had seen a cultural activity for the young people to demonstrate their courage and wit and become a murderous criminal endeavour. The community no longer benefits from cattle rustling, but only a few are driven by greed to reap where they never sow. Illiteracy, poverty, unemployment, community conflicts, possession of firearms and insecurity were identified as the leading causes of cattle rustling. Access to formal education has seen many in the school-going age among the West Pokot get exposed to literacy, which has gradually recorded a positive transformation about its cattle rustling practices. Based on the findings, the paper makes the following recommendations to address the problem of cattle rustling among the people of West Pokot County: Enlightenment on contemporary ways of life; formal education among the Pokot to be advocated for; enhancing Security in West Pokot; opening a platform for peace talk and persuasions and operationalising the Eastern Africa Police Chiefs Cooperation Organisation protocol.
Functioning of Proper Names in the English Literary Text
Authors:   Azerbaijan University of Languages, Yunusova Gunel Xanlar
Published: June 2021

This article discusses the functioning of proper names in a literary text. The primary attention is paid to the study of the essential functions of anthroponyms. This work will focus on studying the origin of anthroponyms and their use in a poetic text. The features of each functional style have long made it possible to contrast the literary and artistic style with everyone else in the presence of exceptional semantic complexity in the literary texts, a multi-tiered composition, and the aesthetic function of the word that organises the entire context of the work. Onomastic units are integral components of the space of a literary text; they are a connecting, constructive element of the meaningful and semantic space and structure of the text. Proper names participate in the creation of semantic multidimensionality of the text, are a means of translating the author's intention and the artistic idea of the work. The article uses descriptive and comparative linguistic methods. It is noted here that the creation of proper names is a practical process and is directly related to the mental-national thinking of the people. The scientific and methodological study of names is theoretical. The proper name in a work of art performs some artistic functions. They include identification, ensuring unity of perception, characterising a character, shaping his image and plot of work, forming subject-object relationships, spatio-temporal and compositional organisation of work, and implementing intertextual connections.
Theoretical Prerequisites for Training Future Primary School Teachers to Form Students’ Media Educational Skills
Authors:   Oleksandr Dovzhenko Hlukhiv National Pedagogical University, Pluhina Alona
Published: June 2021

The article substantiates the theoretical prerequisites for training future primary school teachers to form students’ media educational skills. The development of new technologies necessitates managing information, choosing the primary information from a large flow within minimal time. The digitalization of society requires a person to be able to work correctly with media resources. Massive information flow covers all areas of human life, and the main difficulty is not to obtain specific information but to determine which information is needed. Because many current media do not verify the authenticity of the data published, manipulative technologies are spreading. Currently, the purpose of higher educational establishments is to train an educated specialist, who should be focused on lifelong learning and his or her ongoing personal and professional development. To be able to develop students’ media educational skills, teachers themselves need to be media-competent. Media competence affects students' professional competence and ensures the development of critical and analytical thinking. Pedagogical institutions of higher education are designed to provide future teachers with a high level of professional media knowledge and media skills to form a creative personality of a modern teacher, capable of research and innovation. In higher educational establishments of Ukraine, there have been revealed a number of problems related to the lack of orientation of the educational process on the professional training of future teachers to form media educational skills of students, namely: weak motivation of students to acquire media academic knowledge; episodic application of media educational technologies in the educational process; lack of future teachers’ interest in improving their level of media competence; insufficient level of theoretical knowledge and practical skills, associated with the effective use of media education, their didactic capabilities and functions; future teachers do not have the desire to improve their knowledge and skills through the use of media education technologies.
Beyond Traditional Social Work with Elderly: Reflections from Ukraine in Times of Social Distancing
Authors:   Academy of Labour, Social Relations and Tourism, Semigina Tetyana , Karagodina Olena ,   Academy of Labour, Social Relations and Tourism, Pozhydaieva Oksana ,   Academy of Labour, Social Relations and Tourism
Published: June 2021

The global COVID-19 pandemic envokes numerous challenges in many areas of societies, including social services. The idea of ‘social distancing’ contradicts the whole idea of social work and inevitably causes deepening social exclusion. This study is aimed to analyse peculiarities of Ukrainian social workers’ activities under severe quarantine restrictions or lockdown. Special attention is paid to local social services for the elderly as a group recognised as most vulnerable to COVID-19. A survey of representatives of territorial centres of social services in Ukraine, conducted in August 2020, revealed some problems caused by restrictive quarantine measures and positive changes in the centres. The study highlights some surprising contradictions in the impact of the pandemic on social work practice with the elderly. Social services providers in local communities (territorial centres of social services, social services centres for families, children, youth, etc.) received almost no additional support during the quarantine. Yet, they consider introducing new, distant forms of communication, adjusting the work schedule, etc., as positive changes in service provision. The study determines that the response to the challenges of a problematic situation depends on local characteristics and mostly on human resources – work organisation and professional adaptability. An important role belongs to the ability of social workers to act in emergencies, the availability of standard procedures, protocols, and resources for use in such situations, understanding the need to adhere to values of social solidarity. The specific applications from the study results are drawn for Ukrainian social work.
Reducing the Amount of Maintenance: Problematic Issues Related to Minor Lawsuits (Judicial Practice in Ukraine)
Authors:   Supreme Court, Serdiuk Valentyn , Skrynkovskyy Ruslan ,   Lviv University of Business and Law, Babii Anastasiia ,   Supreme Court, Khmyz Mariana ,   Ivan Franko National University of Lviv
Published: June 2021

The article is devoted to problematic issues of judicial practice in Ukraine, related to the consideration of civil cases on reducing the amount of maintenance in the context of defining this category of cases as minor. Attention is drawn to the fact that according to the current Civil Procedure Code of Ukraine, the cases of recovery of maintenance, increasing its amount, payment of additional costs for the child, collection of penalties for late payment, indexation of maintenance, changing the method of collecting the maintenance payments are considered minor unless they are related to establishment or contestation of paternity (maternity) (paragraph 3 of Part 6 of Article 19 of the Civil Procedure Code of Ukraine). However, in this norm, there is no legislative instruction to refer reduction of maintenance to the category of minor lawsuits, which, taking into account the number of such cases that can be reviewed in cassation, is viewed as a legislator’s fault.
Idyllic Chronotope in Taras Prohasko’s Novel “The UnSimple”
Authors:   H. S. Skovoroda Kharkiv National Pedagogical University, Ryabykh Svitlana
Published: June 2021

The article focuses on the standard features of different idyllic chronotope associated with the unity of the folklore period. Emphasis is placed on the inseparability of human life from a particular place where ancestors lived and where descendants will live. In Taras Prohasko’s novel “The UnSimple”, great importance is attached to family traditions, according to which children at the age of fifteen were shown places related to family history. M. Bakhtin calls this feature the unity of place. This feature unites generations, blurs the time boundaries between the individual life of each person and different periods of the same life. The rhythmic cycle of time is demonstrated in the novel “The UnSimple” on the example of Sebastian and his Anna, who was the only possible woman in his life. In Taras Prokhasko’s novel, the opinion is affirmed that the home for most people is an idyllic place, the basis of biography and the result of existence. It is a place where a person feels protected and confident. The relationship between man and nature in work is shown idealized. Through an exaggerated image of floriculture, the author offers an alternative world in which a responsible, caring, careful attitude to the world around us prevails. It is proved that in Taras Prohasko’s novel “The UnSimple”, the landscape is both a necessary and sufficient condition for a complete human life. It was found that the most important place in T. Prokhasko’s prose is given to the epic of family places, which are the basis of the idyllic chronotope.
International Standards for the Formation of the Judiciary as a Basis for Improving the Guarantees of Independence of the Court and Judges in Ukraine
Authors:   Lviv University of Business and Law, Hudyma Vitaliy
Published: June 2021

The article covers the international standards and reveals their features in the context of the formation of the judiciary as a basis for improving the guarantees of independence of the court and judges. It is established that the reorganization of the judiciary will affect the relationship between the Supreme Council of Justice and the Supreme Qualification Commission of Judges of Ukraine. Ensuring the independence of the judiciary is currently one of the main priorities of this reorganization. It is determined that the main principles of independence of the judiciary and judges are legality, freedom of personal beliefs, in particular, a high level of legal awareness. It is established that one of the guarantees of the independence of the court and judges is the procedure of selecting candidates for the position of a judge. It was found out that a judge could not be subject to disciplinary action for a court decision that he had made, except in cases of a crime or disciplinary misconduct. It is proved that the main grounds for bringing a judge to disciplinary responsibility are: 1) cases of frequent reversal of court decisions made by a particular judge, based on the grounds of their illegality and/or unfoundedness; 2) non-compliance by a judge with the requirements of procedural decisions, which provide the basic principles of the tasks of court proceedings, or failure to take into account some evidence that is present in the case file during the trial and the relevant court decision. It is established that the international standards of formation of the corps of judges are divided into 1) standards that determine the procedure for selection of staff for the position of a judge; 2) standards that contain requirements for personnel applying for the position of a judge; 3) standards that define the features of the training of judges; 4) standards that define guarantees in the course of judges’ performance of their duties. It is proposed to identify areas of legal and organizational improvement of forming the judiciary in Ukraine as the prospects for further research in this direction.
Landsat-8 vs. Sentinel-2: Landuse Landcover Change Analysis and Differences in Gudur Municipality
Authors: Reddy R. Sanjeeva
Published: June 2021

With the recent free availability of moderate to high spatial resolution data (10m-30m), land use analysis became more robust. The launch of Sentinel-2a by the European Space Agency, coupled with the availability of free Landsat data, availed more analysis capabilities for the science community with a wide variety of temporal, spatial, and spectral capabilities. This study compares the synergetic use of Landsat and Sentinel-2 in mapping Land Use Land cover themes in Gudur, explicitly utilizing the red edge band of Sentinel-2. A combination of both sentinel and Landsat data results in higher spatial resolution. Classification of the red edge band produces better resolution than the classification of Landsat Imagery.
Efficient Lung Infection Detection using Machine Learning Approach
Authors: D Abinash.
Published: June 2021

Extraction of various structures from the chest X-ray (CXR) pictures ANd abnormal classification ar typically performed as an initial step in computer-aided diagnosis/detection (CAD) systems. With the growing range of patients, the doctors overwork and can't counsel and beware of all their patients. This paper presents our machine-controlled approach for respiratory organ boundary detection and CXR classification in standard poster anterior chest radiographs. We tend to extract the respiratory organ regions, sizes of regions, and form irregularities with segmentation techniques that are utilized in image process. At the start data sets were collected and preprocessed to avoid unwanted or howling data and born-again into needed image size. CNN is employed to investigate pictures and notice whether or not the actual patient is full of respiratory organ infection or not. By utilizing deep learning approach correct detection of unwellness infection has been done. With relevancy current scenario each traditional and covid pictures are utilized for prediction.
Tracking and Detecting Moving Object in Real Time Video Surveillance
Authors: Powar Shivani S.
Published: June 2021

Analysis or monitoring crowd is very important in behavior of human nature, purpose in security system, application like computer vision. Video surveillance is very important application to monitor crowd and its play crucial role for detection and tracking human in crowded area. System development use real time data. Extract input video for preprocessing stage. Optical flow algorithm is used for the motion estimation. Background subtraction algorithm is used for detecting foreground moving object. Kalman filter used for tracking moving object in frame sequence.
Digital Garage System for Android Smartphone
Authors: Mahajan Anita
Published: June 2021

The objective of the research is 1) To study on the development of the Digital Garage System for Android Smartphone Knowledge Management. 2) The design of the DSG system for Android smartphones; 3) The development of the DSMS for the Digital Garage System for Android smartphones ; A digital garage system will be supported by the requester. In this system, users will be able to look at their car document and send the user with an alert notification and also give user service notification. In this system admin can also include service input and vehicle and admin section.
Bare Face Person Recognition System using Deep Learning
Authors: Satpute Prachi
Published: June 2021

Nowadays, maintaining a good hygiene is very important to prevent many diseases like Corona Virus Disease (COVID-19). It has been rapidly affected our day-today life by disrupting the world trade and movements. The World Health Organization (WHO) recommend to the world that all people must wear a mask to prevent COVID-19. The use of masks is part of a comprehensive package of prevention and control measures that can limit the spread of certain respiratory viral diseases. Wearing a protective mask has become a new normal and beneficial for human being to avoid certain diseases. In the near future, many public service providers will ask the customers to wear the masks to provide their services. Therefore, face mask detection has become an important task to help global society. This paper introduce a simplified approach for face mask detection by using Deep learning and python as the programming language. We are also using Open-CV, to search for faces within a picture and then identifies if it has a mask on it or not. By using this system, the surveillance camera system present at some public Space will automatically detect whether the persons are wearing a mask or not.
Artificial Intelligence based Intelligent Tourism System-Go My Way
Authors: Singh Alka
Published: June 2021

At the moment, we find that tourists usually spend more time planning their trip because they need to spend every minute. In this context, this application aims to identify the main computer needs to support the improvement of the tourist promotion point, using the mobile application proposal. Currently, for regular tourists and travelers they spend a lot of time planning and deciding on their trip to achieve maximum satisfaction. In this case, the app aims to identify the main computer needs to support the development of the tourist promotion point. This paper suggests a model for use in an intelligent visitor information system. It uses the concept of knowledge-base. The model will be based on a study of human behavior as a tourism guide. It builds a relationship between an information-based system and a guide, to provide a service to any visitor who meets their needs and the purpose of obtaining location information. There are different modules, different methods of acquisition methods and a shorter way to acquire the ingenuity of the artificial intelligence in this thesis. The proposed system should be designed in such a way that it works on most devices namely palmtop and mobiles. So it can be helpful when visiting new places. This application will find the route using user terms. The short-term method of finding an algorithm should work well and in the right way in most cases. The system must find a method that fulfills the user's terms, indicating the name of the item, images related to a brief description of the location. It should also be able to find the distance, time and travel costs to your destination and over time the user can also make bookings using the app interface only.
Suspect Face Depiction and Recognition
Authors: S. Prof. Rakesh
Published: June 2021

In forensic science, it's seen that hand-drawn face sketches are still very inadequate and time-consuming when it involves using them with the newest technologies used for the identification of criminals. Through this paper, we introduce an independent software that allows users to make composites suspect face sketch of the suspect without the assistance of forensic artists using the drag-drop feature inside the software and automatically match the suspect face sketch with the police database much faster and efficiently using deep learning and cloud infrastructure.
Study on Performance of Solar Dryer with Thermal Storage and Desiccant
Authors: Gaikwad Mr. Jeevan
Published: June 2021

This paper presents experimentation on model developed to compare the performance of solar drying with and without dehumidification system. Basic components of system consist of flat plate solar collector, drying chamber, desiccant bed and blower to maintain forced air circulation inside the system. Humidity of fresh air supplied to collector reduced by passing it through two stationary desiccant beds, which work alternately for adsorption and regeneration. Exhaust heat used for regeneration thereby overall efficiency of system increased. Drying rate obtained from solar drying with desiccant bed, solar drying without desiccant bed and open sun drying are 0.1094 Kg/hour, 0.09375 Kg/hour, and 0.0775 Kg/hour respectively. It concluded that by use of desiccant bed increases drying rate that takes near about three hours less to reach same moisture content compared with solar drying without desiccant bed. From results obtained it further found that desiccant bed based solar dryer gives higher drying chamber efficiency than without desiccant bed system due to increased moisture pick-up capacity. Also, in built latent heat thermal storage was able to provide 7 to 8 0C higher temperature than surrounding after sunset for about 2 hours.
IOT based Smart Greenhouse
Authors: Singh Vishal
Published: June 2021

Internet of Things is one of the most important technologies of the 21st century. Smart green Housesystem is basically a system in which various sensors are used for controlling and monitoring various parameters inside greenhouse such as temperature, pressure, humidity, soil moisture, ph sensors etc. And green house is basically a place or we can call it an environment where plants like vegetables and flower and grown and they are usually covered with glass or ''translucent plastic roofs". The purpose of this project is to design an easy, easy to install, user-friendly to monitor and trace the values of parameters such as temperature, humidity, natural sunlight which are continually monitored and controlled with an aim to optimize them for getting maximum possible plant increase and yield
IOT based Remote Health Monitoring System
Authors: Chaudhary Manish
Published: June 2021

As the technology changing every year so, there has been an attempt to apply the new technology in numerous areas to increase the quality of human life. One of the main fields of research that has seen an implementation of the technology is the healthcare sector. Consequently, our paper is an effort to solve a healthcare problem currently people are facing. Main objective of our paper is to enterprise a remote healthcare system. It covers of three key parts. The first part is, detection of patient’s condition with the proposed system, second is to storing data on cloud storage and the last part is to provide the data for isolated viewing. Remote observing of the data empowers a doctor or custodian to television a patient’s health advancement from anywhere. In this project, we have obtainable an IoT architecture personalized for healthcare applications. The main motive of this scheme is to come up with a Remote Health Monitoring System that will completed with locally available sensors with a view to manufacture it reasonable for everybody
Inverse Sum Status Energy of a Graph
Authors: Prakasha K. N.
Published: June 2021

Motivated by the inverse sum status index, we introduce the inverse sum status matrix ISS={■((σ_u σ_v)/((σ_u+σ_v ) ) if u_i~v_j,@0 otherwise)┤ Thus we also obtained the results for well known graphs. Keywords: Inverse sum status energy, Inverse Sum Indeg matrix. 2010 AMS Subject Classification: 05C50.
Big System Failure: A Queuing Theory Model to provide Oxygen to a COVID Infected Person during COVID- 19 Pandemic
Authors: Sharma Dr. Umesh
Published: June 2021

This paper describes the methodology designed to maximize the service of medical system in hospitals. We apply the result of queuing theory to find maximum number of servers served by hospital authorities to provide oxygen. Too much waiting may be fatal to a critical patient and it may leads to increase the mortality rate than expected further a serious situation for Government and Medical authorities.
Online Exam Portal
Authors: Chaudhari V. J.
Published: June 2021

“Online Exam Portal” is an on-line test simulator is to take online examination, test in an efficient manner and no time wasting for manually checking of the test paper. The main objective of this web based online exam portal is to efficiently evaluate the student thoroughly through a fully automated system that not only saves lot of time but also gives fast and accurate results. For students they give papers according to their convenience from any location by using internet and time and there is no need of using extra thing like paper, pen etc. Online exam portal helps students to offer a quick and easy way to appear for the test. It also provides the results immediately after the examination with 100% accuracy and security. Student can enter to perform exam only with their valid username and password. This examination contains multiple choice questions and appropriate number of options. There are no limitations on number of options and it can be randomized so same set of question will not appear to all student so it prevent manipulation. More than one option can be correct but the user can select only one option. This provides time limit. The user can see their results after completing the exam. This helps the students to write the exam from far distance and which can provide security and simplicity and other beneficial features to the user
On (1, 2) - Domination of Certain Graphs
Authors: Isido D. Florence
Published: June 2021

A vertex subset S of a graph G = (V,E) is called a (1,2)-dominating set if S is having the property that for every vertex v in V- S there is atleast one vertex in S of distance 1 from v and a vertex in S at a distance atmost 2 from v. The minimum cardinality of a (1, 2)-dominating set of G, denoted by ϒ (1, 2)(G), is called the (1, 2)-domination number of G. In this paper we discuss about the (1, 2)-dominating set of Shell graph C(n,n-3,), Jewel graph Jn and Comb graph Pn ʘ K1.
Patient Information Maintaining & Analyzing
Authors: Ganvir Mayank
Published: June 2021

Hospitals presently use a manual system for the management and maintenance of essential info. This system needs various paper forms, with knowledge stores unfold throughout the hospital management infrastructure. Usually, info (on forms) is incomplete or does not follow management standards. Forms are usually lost in transit between departments requiring a comprehensive auditing method to confirm that no important info is lost. Multiple copies of similar info exist within the hospital and should result in inconsistencies in knowledge in numerous knowledge stores. A significant part of the operation of any hospital involves the acquisition, management, and timely retrieval of nice volumes of knowledge. This info generally involves; patient personal info and case history, staff information and ward scheduling, scheduling programming, operating theatre scheduling, and numerous facilities waiting lists. All of this info should be managed in an economical and cost-wise fashion so that an institution's resources could also be effectively utilized. Patient info maintaining & Analyzing can automate the management of the hospital creating additional economic and the error free. It aims at standardizing data, consolidating data, reducing inconsistencies, and ensuring data integrity.
Virtual Dietician for Diet Plan Recommendation
Authors: Thakar Ajay
Published: June 2021

In this fast and busy schedule life, people are not giving importance to the quality of food they are eating. They tend to neglect their eating patterns and habits. The fast-food consumption rate is alarmingly high and this consequently has led to the intake of unhealthy food. This leads to various health issues such as obesity, diabetes, an increase in blood pressure etc. Hence it has become very essential for people to have a good balanced nutritional healthy diet. There are many applications which are booming to help people so that they can have control over their diet and hence can reduce weight or they can help them to keep them ﬁt and healthy. The project is proposing healthy food habits and dieting patterns so that anyone can know the number of calories burned, the intake of macro nutrients and so on using on data mining tools. This tool is used for discovering hidden patterns and customer eating habits from different types of data sources. This system will help in tracking and improving the individual’s health and the type of food which they can avoid leading towards the risk of illness. A balanced diet means that the intake of each necessary nutrient meets its adequate demand and actual caloric intake balances with calories burned. Additionally, making a diversity of choices from various types of food is also essential to reduce the risk of developing chronic diseases. This diet recommended system focuses on every individual based on their eating habits and body statistics. This research helps in the prediction of a healthy diet for any individual and nutrition is to doctor to design a diet plan as per patient’s need.
Building a Chatbot for the Department of ECE using Flask
Authors: Kumar G V Pradeep
Published: June 2021

A Chatbot aims to make a conversation between both human and machine. The machine has been embedded with knowledge to identify the sentences and make a decision as the response to a question. The present technical project consists of developing a system for ECE Department enquiry using web based Chatbot. The ECE Department Chatbot has the capacity to make friendly conversations and gives the link for academic syllabus of different years as well. It also gives the faculty details such as their email address and mobile number. Implementation of the ECE Department Chatbot overcomes certain barriers of a website since it correctly understands the user's questions, asks clarifying questions if required and then retrains the system to give the response that the user intends to get. The heart of ChatBot technology lies in Natural Language Processing or NLP. The project uses Artificial Intelligence Mark-up Language (AIML) which is an XML based mark-up language meant to create artificial intelligence applications. AIML makes it possible to create human interfaces while keeping the implementation simple to program, easy to understand and highly maintainable. Along with AIML it uses Flask, which is a web-framework similar to Django, but is more Pythonic. Implementation is done in Python using some of its software libraries.
Rice Grain Quality Detection
Authors: Vaishnavi V.
Published: June 2021

The quality of grain is of great importance for human beings as it directly impacts human health. Hence there is a great need to measure the quality of grain and identifying non-quality elements. Analysing the grain samples manually is a more time-consuming and complicated process, and having more chances of errors with the subjectivity of human perception. To achieve uniform standard quality and precision, machine vision-based techniques are evolved. Rice quality is nothing but a combination of physical and chemical characteristics. So, to get the physical characteristics of the rice grains, image processing techniques are applied. Grain size and shape are some physical characteristics. The obtained all physical features grades the rice grains using canny edge detection.
Smartphone Operated Multipurpose Agriculture Robot
Authors: C P Abhishek
Published: June 2021

Many countries in Asia including are agrarian economies and most of their rural populations depend on agriculture to earn their livelihood. Aimed at increasing the productivity and reducing the labour involved, this robot is designed to execute the basic functions required to be carried out in farms. We aim to create a multitasking agriculture robot which will focus on basic work of plantation. To sow the seeds a robotic arm will dig to a precise depth with equal distance between the seeds. At bottom of robot water pump will be placed and as per the requirement water will be sprinkled. This project aims to design an agriculture robot, which helps the people to survive where it performs operations such as digging of soil, sowing of seeds, spraying water and cutting the plants. In previous projects the technique used were complicated as well as expensive.
Study of Additional Interactions of Heterodimeric GW7604 Derivatives at the Coactivator Binding Site through Pharmacophore Modeling
Authors: Kadu Nilesh S.
Published: June 2021

Breast cancer is still the most common cancer in women worldwide, affecting one in eight women in high-income countries, and the incidence is further increasing. Endocrine therapy, including aromatase inhibitors or selective estrogen receptor modulators (SERMs)/selective estrogen receptor down-regulators (SERDs), consequently represents an indispensable treatment opportunity. Unfortunately, acquired endocrine resistance is an inevitable issue, which manifests after prolonged therapy. Consequently, developing a novel drug for the treatment of breast cancer is need of the hour. But it is an established fact that designing or repurposing a drug using ‘trial and error’ approach is a tricky, long, expensive and could be a failure in clinical stage. Hence, there is a need to employ alternative approaches like computer aided drug design (CADD) to overcome these shortcomings of conventional approach. Recently, CADD has gained a high popularity among drug designers and medicinal chemists due to several advances associated with it. Pharmacophore modeling is an efficient and useful approach to identify important patterns in a series of molecules for optimizations. Hence, in this analysis, an attempt is made to develop consensus pharmacophore model of heterodimeric GW7604 derivatives using alignment approach. The dataset consists of fourteen heterodimeric GW7604 derivatives exhibiting the binding activity in a transactivation assay ERα and ERβ to the coactivator binding site. The heterodimeric GW7604 derivatives possess good variation in substation pattern like the presence of different diaminoalkane spacer and CABS binder. The consensus pharmacophore model revealed the importance of structural features and their correlation with the biological activity.
IOT based Voice Controlled Robot with Pollution Detection
Authors: Sreesurya Aitha
Published: June 2021

Air pollution is a serious situation which ruins future generations.as of increasing population daily, lots of exploitation of resources takes place which in turn causes pollution. Mainly pollution due to vehicles & industries leads to much damage of health hazards and turned out to be one of the major problem world is facing now. Apart from oxygen, we breathe in fumes. outdoor air pollution has existed for a long time. Radon, volatile organic compounds, formaldehyde, biological contaminants, and combustion by-products such as carbon monoxide, carbon dioxide, sulfur dioxide, hydrocarbons, nitrogen dioxides, and particles contribute to indoor air pollution, sulfur dioxide, carbon monoxide, nitrogen oxides, ozone, total suspended particle matter, lead, carbon dioxide, and hazardous pollutants are the principal pollutants that contribute to outdoor air pollution. Air pollution causes severe diseases like asthma, cancer, breathing, skin irritation, and liver problems. We see there’s a lot of pollution around us makes it difficult for plants, animals, and humans to survive as the air becomes polluted. the pollution due to vehicles is one of the major aspects of pollution. this is because of in efficient fuel in vehicles and long term of vehicles (internal problem). so we have come up with a solution by testing this application by making voice controlled robot with pollution detection at toll gates.
Level of Micro Albuminuria and Triglyceride in Type 2 Diabetes Mellitus
Authors: Shaju Aparna
Published: June 2021

Experimental and clinical studies have shown a strong association between hypertriglyceridemia and diabetic nephropathy. High triglyceride variability affects the microalbuminuria
Computational Investigation of through the Width Delamination of a Composite Laminate using VCCT
Authors: Vishwanath K. S.
Published: June 2021

The fiber reinforced polymer laminates have found extensive applications because of its advantages over other materials in terms of strength, stiffness, stability, weight saving features, resistance to corrosion and erosion and many more. But due to poor transverse direction strength, a failure mechanism called delamination will occur in case of poor manufacturing or when tools are dropped which would make an impact. In this paper, VCCT is implemented at the interface between base and sub laminate to investigate for 20mm through the width buckling driven delamination growth. The computational prediction of delamination growth initiation is obtained by solving a T300/976 specimen for geometric non linearity using SC8R continuum shell elements of Abaqus CAE and by plotting the required energy release rate at the edge of delamination geometry.
Vegetable Waste Management using Android App
Authors: Parpanathan Anisha
Published: June 2021

Wasting food is common problem in our society. Vegetables market food are wasted. We have identified the use of mobile technology which will supply food waste from vegetables market to biogas plant.
Product Evaluation using Sentiment Analysis
Authors: Rao Nagulavancha Gayathri
Published: June 2021

Sentiment analysis is a machine learning technique which helps machines to understand and read emotions in human and predicts the same using Artificial Intelligence. In this paper we are trying to evaluate the product reviews in platforms like Amazon, flipchart etc whether it is positive, negative or neutral using Natural language processing technique. Because evaluating product reviews helps companies to make changes in product if needed and keep themselves in the market Competition. To classify reviews, we use Naïve Bayes Classifier (NB) and NLTK library which is a open source platform in Natural Language Processing helps machines to convert the Text into Polarity Score using its Functions like Tokenization, Lemmatization etc. This library helps to calculate Subjectivity and Polarity. And also, we trained our model with Bag of words or lexicons dictionary and test it on the analysis status. More the accuracy score better will be the classification. And also, we have used the Term Frequency-Inverse Document Frequency for the extraction of frequency of words from the reviews of Product.
Real Time Facial Gesture Recognition using Deep Learning
Authors: Sharma Abaikesh
Published: June 2021

The human faces have vibrant frequency of characteristics, which makes it difficult to analyze the facial expression. Automated real time emotions recognition with the help of facial expressions is a work in computer vision. This environment is an important and interesting tool between the humans and computers. In this investigation an environment is created which is capable of analyzing the person’s emotions using the real time facial gestures with the help of Deep Neural Network. It can detect the facial expression from any image either real or animated after facial extraction (muscle position, eye expression and lips position). This system is setup to classify images of human faces into seven discrete emotion categories using Convolutional Neural Networks (CNNs). This type of environment is important for social interaction.
RFID based Attendance Management System
Authors: Mukherjee Tathagata
Published: June 2021

This paper presents the Radio-Frequency Identification (RFID) based attendance management system for the employees of a company, institute, or organization. This system is developed for a daily purpose attendance recording system in every organization. In every corporate organization or company, a proper attendance management system plays a vital role in managing the salaries of employees. As we are all aware that proper maintaining of attendance will help the organization to track the regularity and sincerity of employees towards their occupation. And now in this digital world maintaining attendance manually using pen and paper has become outmoded. In earlier days, when the employees gave their attendance using pen and paper then discrepancies occurred in the entries by employees and for this during the time of entry even if the employee was late they are not marked accordingly, and there led to the improper evaluation of attendance. The time comes when the management analyses the record of each employee’s attendance and there arises a big issue with date and time and that particular employee’s attendance can be analyzed over the month. To overcome these shortcomings we had developed a system that not only removes the tedious task for tracking attendance manually but also helps in maintaining a system of records that will also help the organization with the proper and appropriate evaluation of salary, regularity, and even punctuality of an employee’s attendance. The main purpose of developing RFID based attendance management system is to computerize the attendance of each employee in an organized manner. Each employee of that organization will be having their ID card and the backside of the ID card is having an RFID tag and as employee scan their id card while entering, then their necessary details will automatically get stored in the database and which can be then computed.
Hill Climbing Algorithm based Maximum Power Tracking of a PV Array
Authors: Teja Pyatla Charan
Published: June 2021

In this paper we are going to see how the MPPT algorithm is used to obtain maximum power using a booster converter from a PV array. The booster converter steps up the voltage to required level. The main aim is to track the maximum power point of a solar module and there by using it effectively and efficiently
Tracking Maximum Power Point of a PV Array based on Change in Conductance Method
Authors: Teja Pyatla Charan
Published: June 2021

In this paper we are going to see how the MPPT algorithm is used to obtain maximum power using a booster converter from a PV array. The booster converter steps up the voltage to required level. The main aim is to track the maximum power point of a solar module and there by using it effectively and efficiently.
Design of Active Microstrip Semi-Circular Patch for UWB Applications
Authors: Rao Dr. N. Srinivasa
Published: June 2021

In this paper, we have proposed a semi-circular patch antenna with a slot in the patch and a ground plane with a notch. The proposed antenna is designed using FR-4 substrate with a dielectric constant of 4.4 and the height of the substrate is 1.6mm. We simulated the antenna using HFSS and obtained the S11 < -10dB in the range of 3GHz to 15GHz, which covers the UWB range of 3.1GHz to 10.6GHz. An active circuit is designed and simulated using ADS to improve the gain of the antenna when working in a lossy medium other than air.
Computational Investigation of Square Embedded Delamination of a Composite Laminate using VCCT
Authors: Vishwanath K. S.
Published: June 2021

The fiber reinforced polymer laminates are widely implemented in aviation industry due to its advantages and applications other materials in terms of strength to weight ratio, dsign features and many more. The strength of the interface compared to longitudinal and lateral directions of the plies are comparatively less and give rise too poor transverse direction strength. Hence a failure mechanism called delamination will occur in case when tools are dropped or due to poor manufacturing which would give rise to interface delamination. In this paper, VCCT is employed at the interface between base and sub laminate to investigate for a square shape delamination geometry of 20mm buckling driven delamination growth. The computational prediction of delamination growth initiation is obtained by solving a T300/976 specimen for geometric non linearity using SC8R continuum shell elements of Abaqus CAE and by plotting the required energy release rate at the delamination geometry.
Effective Methodology in Shopping Mart using QR Code
Authors: Bhoknal Gayatri
Published: June 2021

Today's shoppers are looking for more than just provided by websites. Malls have always been a destination . Shopping malls are the place where people get their requirements like food items, clothing, accessories, electrical appliances and so on. Malls are still considered a destination, but it’s because they now offer amenities, Experiences to enhance shopping experience. Brick-and-mortar retail clearly isn't dead. Sometimes customers face the problem of having incomplete information about the products and have to waste their time at the billing counters by waiting for their turn to come. Continuous updation is required in the traditional billing system to advance the quality of shopping experience for the customers. In addition, the process of obtaining the products is rather complicated as the shoppers must carry a basket each & every time for finding the products they want and place them into the basket, also has to deal with the calculation of the expenses. In order to solve all these problems, this paper presents the development of effective methodology in shopping mart using QR code. In this smart shopping system, QR is provided to every product and hence shopper scan the QR code by QR code reader available in smartphone. All the details of product are provided to shoppers through QR code. The scanned product id will be transferred to the managing staff .Thus, proposed system saves time & provide comfort by no longer waiting in the queue for paying the bill & checkout.