bluuebunny/crossref_metadata_2025 huggingface dataset:
Real-Time Monitoring and Controlling of Refrigerated Truck Using IoT
Authors: Shinde Mr. Harsh , Patel Mr. Rohan , Jadhav Mr. Yogesh , Band Mr. Shivraj , Ghate Mr. Pravin
Published: June 2022

Abstract: Transportation is an important part of food chain, aiming at monitoring the temperature, humidity inside the refrigerator trucks and tracking the location of the refrigerator trucks. In this system, we have designed an intelligent monitoring system based on the Internet of thing, realized monitoring temperature and humidity inside the refrigerator trucks , and tracking the location of refrigerator trucks real-time in the entire transportation process by using advanced technologies like MQTT, Cloud Computing, sensor technology and the wireless communication technology. The proposed system uses an ESP32 as main control unit, DHT22 , proximity sensor, RTC, and GSP module. The system is very capable to monitor refrigerated truck from anywhere and anytime using a mobile application. This system is capable of monitoring data which can be displayed through mobile application and if any problem is detected the issue can be solved by human intervention. We can achieve good results of data monitoring such as temperature, humidity, door status and location with MQTT protocol. It is satisfied with the performance through the analysis of monitoring system and experiment results for the designed refrigerated truck monitoring system. Moreover, this proposed system has main advantages which minimizes the human efforts for the manual monitoring and product loss due to uncontrolled environment. Keywords: Refrigerator Trucks, Internet of Things, MQTT, ESP 32, Live GPS Location
Face Mask Recognition Using Machine Learning
Authors: Upadhyay Shubham , Malik Avdeep , Rastogi Deependra
Published: June 2022

Abstract: Face mask detection software saves time and effort by automating various processes. A camera is used to capture visual input from a specific area. Then the graphics are compared to the predefined dataset. Determine whether or not a face mask is present. Once we've done that, have the input in graphic form, it can be presented as an input to a deep learning model for action prediction or this is the output that should be served to the user. Then it is necessary for the model to have patterns in which it may operate. Discern between persons who are masked and those who are not. The model will also include the actions that must be completed. When it detects the existence of a face mask, it proceeds to the next step. In addition, the most fundamental requirement for this software is for implementation, python libraries such as tensor flow, numpy, and sklearn are employed in realm of artificial intelligence. A window will appear in response to the user's command and will show the camera's graphics for identifying the face mask and the output will then be displayed based on whether the user is facing up or down. Is there a mask on or not? Face mask detecting software has been developed. In this pandemic period, there are numerous applications. Keywords: OpenCV, Machine Learning, MobileNetV2, Keras are all terms that can be found in the index.
Case Study of Trenchless Technology Around The Globe
Authors: Choudhary Chandan , Bulkund Sankalp , Shinde Ganesh , Kadve Akshay , Gaikwad Hrithik , Harne Sarita
Published: June 2022

Abstract: Trenchless technology is the science of installing, repairing and renewing underground constructions, pipes, and cables that minimize the use of open-cut excavation methods. The use of traditional construction techniques, preferably open-cut construction are being used less because of innovation in trenchless methods. These methods reduce the impact on the environment i.e harmful gas and disruption i.e traffic delays, pedestrian problems, noise problems, and surface issues. This research will describe the advantages of trenchless methods over conventional trenching methods. Keywords: Trenchless technology, Open-cut excavation.
Effect of Jaggery on the Properties of Concrete
Authors: Bende Sayali Panditrao , Wagh Manoj P.
Published: June 2022

Abstract: Concrete is a composite material used because all imaginable design structures are made of concrete. The report emphasizes that using locally available materials such as jaggery may improve concrete features. The test was completed to test the quality properties of the concrete using Jaggery as a mixer in the creation of the concrete. These types of blends are often used as part of unusual cases such as large wharves and long piles. Four different levels of admixtures (Jaggery) were selected for testing as 0.5%, 1%, 2%, 2.5%, 3%, 3.5%, 4%, 4.5% and 5% by weight of cement by M25 grade, mix design concrete. Finally, it was thought that the performance and compressive strength of the concrete were improved when Jaggery mixtures were applied to the concrete mix. Keywords: Jaggery, Concrete, Consistency, Setting Time, Slump Value., Compaction Factor, Compression, Scanning Electron Microscopy
Fredric Henry: A Lost Hero in Hemingways Novel: A Farewell to Arms: An Existential Analysis
Authors: Thakur Kuldeep Singh
Published: June 2022

Abstract: In Hemingway’s earlier novels such as The Sun Also Rises, A Farewell to Arms and many of his short stories, the major characters such as Jack Barnes, Frederic Henry and Nick Adam experience emptiness and alienation. These characters experience lostness and nothingness. They suffer from insomnia and this makes them cry bitterly. Frederic Henry, from the very beginning, remains uprooted. His participation in war and his involvement in dancing parties, sex and even his love for Catherine is nothing else but to avoid reality and adopt an attitude of ‘bad faith’. Keywords: Bad faith, Lostness, Reality, Being, Unauthentic Existence
E-Gift Shop Application
Authors: Kumar K Senthil , M Sakthi Kumaran
Published: June 2022

Abstract: It is a very important feature used in E-commerce to assist people making gift purchasing through online. The business to consumer aspect of electric commerce is the most visible business use of the world wide web. E-commerce site is to sell goods and services online. Shopping project has been developed to allow business grows larger and faster .Customers to view and order products online from any part of the word. The site sells different types of gifts. Under this website many products and services can be ordered. Its Expended permanently through new products and services in order to offer a product corresponding to the market. Private customers can have a payment option through credit card only. In order to use the load writing procedure, the customers registers itself and receives a login for its purchase name. It is an internet application. Login functionality should check the authenticity of the user from the database. This site contains an online catalog for the user. Keywords: Event based gifts, Address, Brands, Price
Online Patients Appointment Platform
Authors: Yadav Sunil Kumar , Prajapati Shubham , Yadav Shivakant , Yadav Vinay Kumar
Published: June 2022

Abstract: Over the years we see that our dependence on the internet has played a major role in all areas of development. We can say that the internet is a common thing among us. This project is a web-app to use for the project appointment scheduling. Along with the patient,there is also a doctor and a super user known as admin. The only administrators have to control all the activities of the project functions. The main motivation of this project is nowadays we are seeing people are facing variousproblems in booking slots of doctor’s available in hospitals for the purpose of medical checkups and surgery etc. For booking the slots of the available doctors. People need to visithospitals by taking various means of transportation and wasting their time traveling. So, we try to avoid transportation and reduce the time in taking an appointment. By using our platform people will easily be able to book their appointment as available to the doctor slots. In this project Online Patient’s Appointment Platform in hospital is necessary for a competent administration when handling patients, the flow of business is determined by the information of the patient, unfortunately the current record management system leads to the misplacement of patient details, the doctor's record of reports, and a lack of security for the records. This research project seeks to automate the whole process of keeping records about Patients, Hospitals, and Doctors. To accomplish this, a comprehensive SystemAnalysis and Investigation was conducted using data collected from existing documents and data flow charts. The concept of report production has been automated, therefore, there is no more delay in receiving reports from the Hospital, Patient, or Doctor. Errors on handheldcalculators have been completely eliminated. The method used to develop the system includes an iterative waterfall model. approach, dataflow, logical and entities relationship diagram were used to design the system and use CSS, SQL server, html and PHP languages.
Hand Gesture Recognition
Authors: Nawaz Bilal , Verma Dr. Indradeep , Sharma Simran , Gupta Mansi
Published: June 2022

Abstract: Hand gesture recognition system has evolved within the recent few years due to evolving of technology and mostly due to device dependent life. People are now turning towards technology for a far better life with computer and portable devices being an enormous part of it. Not only people but companies too are shifting towards technology for improved performance of their products. Keywords: Hand gesture, computer vision, deep learning, feature extraction classification, Neural network.
Use of Municipal Solid Waste Incinerated Bottom Ash and Construction Demolition Waste in Pavement
Authors: Akrama Md , Anwer Mohammad Talha , Dwivedi Ayush , Singh Atul , Kumar Ayush
Published: June 2022

Abstract: This study focuses on the introduction of a layer of municipal solid waste incinerated bottom ash, sewage sludge and construction and demolition waste and the effect of this layer on the settlement and strength of the pavement. The primary principal of this paper is to deal with the use of MSWI bottom ash in a sustainable manner. This paper investigates the validity of mix layer as an applicable conventional subgrade. The objective of the paper is to study the viability of the utilization of Construction Demolition Waste (CDW) for improving the performance of sub grade and sub-base layers in the road design. On this mixture, certain tests are conducted like Aggregate Impact Value Test, Crushing Value Test, Specific Gravity Test, and Loss Angeles Abrasion Test. The results are analysed and discussed for the use of CDW for enhancing the performance of sub grade and sub-base layers in the pavement. Keywords: Construction Demolition Waste, Municipal Solid Waste, Sub-base
Review on CNTFET: Recent Developments in Biosensors for Health Care Applications
Authors: K M Puneeth , R Shruthi , A Veditha , Baliga B Poorvi
Published: June 2022

Abstract: With the increasing use of high-performance component circuits (VLSI) in biosensing, there has been remarkable progress in the field of nanotechnology. The carbon nanotube is basically made of graphite sheets wrapped to form a tubeshaped structure, with a periodic boundary structure that makes a hexagon that never breaks. Carbon nanotube field-effect transistors (CNTFETs) have lower latency and power consumption compared to compatible CMOS devices, so they are considered a viable option to switch CMOS devices to VLSI circuits with very low power. Biomedical sensors have received a lot of attention in the field of health care. CNTFETs have a high potential to drive many technological advances in the industry due to their unique electrical structures of CNTs. In this review, we focus on the use of CNT-based FET (CNTFETs) in biomedical systems. It starts with the introduction of the device and discusses four applications where CNTFETs are used, namely covid-19, hearing aid, cholesterol, and cancer. Finally, we conclude the review with an overview of CNTFET in the medical field. Keywords: Biosensing, Nanomaterial, CNTFET, Covid-19, Hearing aid, Cholesterol, and Cancer
Study of Composite Bricks from Sawdust and Cement
Authors: Narsinge Ms. Mayuri
Published: June 2022

Abstract: Many timber producing countries generate more than 2 million m3 of sawdust annually. In developing countries, sawdust is often disposed of by open dumping, open burning, or dumping in landfills. The majority of wood sawdust wastes is accumulated from the countries all over the world and causes certain serious environmental problems and health hazards. This poses huge environmental challenges related to air pollution, greenhouse gas emission and destruction of plant and aquatic life. Finding from this experiment that sawdust can be used to make sawdust construction composites with good water absorption and strength characteristics. In this experiment concludes that partially replacing 10%, 20% and 30% of sawdust with sand and cement. Sawdust composites are also attractive for their low thermal conductivity, high sound absorption and good sound insulation characteristics. These findings indicate that increased utilization of sawdust composites in construction will mitigate against potential sawdust environmental pollution, conserve energy and reduce disposal costs. It shows a potential to be used for walls, wooden board substitute, economically alternative to the concrete blocks, ceiling panels, sound barrier panels, etc. Keywords: Sawdust, Sawdust Composites, Thermal Conductivity, Sound Absorption, Sound Insulation etc.
Soil Classification and Crop Suggestion using Machine Learning Techniques
Authors: Gaikwad Saurabh , Aiwale Ajay , Rekade Vishwanath , Kalunge Vishwas
Published: June 2022

Abstract: Soil is important to humans and all living things on earth because it acts as the root source for agriculture, food and medicine. Soils are of different types and each soil type can have different composition of minerals, humus, organic matter and can hold different characteristics based on which different crops can be grown. So we need to know the features and characteristics of various kinds of soils of different places to understand which crops grow better in certain soil types in different climatic conditions and what kind of fertilizers/ pesticides can be added to make the crop grow healthily. So we've proposed a system which can be a great use to the farmers and common public to predict what kind of crops can be grown for different types of soil series based on agricultural data analysis using machine learning techniques and image processing Keywords: Soil, Crop, Agriculture, crop recommendation, soil classification, machine learning
IoT Based Saplings Protection System against Unsuitable Natural Climate
Authors: Mitra Sourish , Das Pallabi , Chakraborty Nilimesh , Majumdar Sounak , Barman Tiyasa , Das Poulomi , Pahan Riya , Ghosh Tiyas
Published: June 2022

Abstract: Plants need air, water and sunlight and other weather recourses for healthy and natural growth but over exposure of these natural recourses create harm. Due to excessive sunlight many of the plants and saplings gets scorched thus resulting death in bulk whereas over raining causes excessive water-clogging in root area due to which saplings gets wilted or rotten. For healthy growth of any plant pesticide and fertilizer sprinkling is also required. After focusing all above mentioned problem area we have implemented an automated IoT based baby plant protection system which can be able to stop the death of saplings and sensitive plants from aforesaid natural recourses like high sunlight, huge amount of rain water, excessive dew etc. Our proposed hardware prototype model is already commercialized for protecting outdoor baby saplings from unsuitable natural climate. Keywords: IoT, saplings, scorch, water-clogging, prototype etc.
Corroboration of Twitter Sentiment Analysis and Event Analysis of Indian Budget 2022 on the Bitcoin Market
Authors: G Abhinand , Maheswari Dr. V. Uma
Published: June 2022

Abstract: This study aims to understand the corroboration of the results of Sentimental analysis with Event Analysis on the Indian Budget 2022 announcement on cryptocurrency. Sentimental analysis tries classify the tweets on Bitcoin on the budget day into Positive or Negative and deciphers the overall sentiment of the bitcoin investors on the Budget Day and the subsequent 2 days. This has been made possible by using a supervised machine learning algorithm. Event Analysis identi- fies whether any abnormal returns are seen on the event day and the subsequent 10 days. This study observes that the range between the positive and negative sentiments is minimal and there is no abnormal returns found post the budget announcement in the event study. It may be con- cluded that positive sentiments nullified the negative sentiments where the overall sentiments have a mean subjectivity score that is more leaning towards the less-opinionated side, which may be accounted for the lack of abnormality was found on the event day as well as the adjustment period. Keywords: Sentiment Analysis, Event Study, Bitcoin, Union Budget, Machine Learning
IoT Based Smart Agriculture and Animal Detection System
Authors: Narula Harneet , Pathak Dr. Ajita
Published: June 2022

Abstract: Agriculture, the science and art of cultivating plants, plays a pivotal role in the evolution of a primary agricultural economy. More than 50% of the population in India depends upon farming. Hurdles concerning agriculture have significantly retarded the growth in this sector. The most significant obstacle incurred by the farmers is inefficient crop management and crop raiding by external sources, especially the human-wildlife conflict. A cumulative approach including the application of “Internet of Things” and traditional farming techniques, along with methods to barricade crop destruction has been elaborately highlighted by way of integrated systems. Hence this proposed module targets at making agriculture smart by proposing a device detects the presence of any living being by using either PIR Sensor or Ultrasonic Sensor, especially animals around the land to be cultivated, along with smart irrigation control and real-time data analysis which is also inclusive of smart warehouse management parameters like- temperature, humidity and pressure measured by using (DHT22 Sensor and BMP180 Sensor). This data may either be visualized by using the Blynk Software or received in the form of messages through the GSM Module. To combat the ruckus caused by animals, detection of their presence along with a laser security system has been provided in the proposed system. Efforts have been made to help the farmer in rectifying multiple issues at once. Keywords: PIR Sensor, DHT22 Sensor, BMP180 Sensor, Blynk App, GSM Module
Affordable Earthquake Building
Authors: Patil Pranali , Kolhe Aditya , Walhekar Aditya , Shilimkar Pranav
Published: June 2022

Abstract: Nowadays springs are the main component in the structures. A new low-cost seismic isolation system which is related on spring tube bracings has been proposed and studied, and according to that study when springs are performed their designated jobs there is very little reason to spare them much thought. One area that you might not have considered the worth of springs within is the science of architecture, but actually springs are being used in buildings all around the world. As per the study, multiple compression-type springs are positioned in a special cylindrical tube to obtain a symmetrical response in tension and compression-type axial loading. An isolation floor, which consists of pin-ended steel columns and spring tube bracings, is constructed at the foundation level or any intermediate level of the building. An experimental campaign with three stages was completed to evaluate the capability of the system. First, the behavior of the spring tubes subjected to axial displacement reversals with varying frequencies was determined. In the second phase, the isolation floor was assessed in the quasi-static tests. Finally, a ¼ scaled 3D steel frame was tested on the shake table using actual acceleration records. The transmitted acceleration to the floor levels is greatly diminished because of the isolation story, which effects longer period and higher damping. There are no stability and self-centering problems in the isolation floor.
Machine Learning Approach for Credit Card fraud Detection
Authors: Ghatge Shruti Mohan
Published: June 2022

Abstract: Finance fraud is a growing problem with far consequences in the financial industry and while many techniques have been discovered. Data analysis is to be applied to finance databases to automate analysis of huge volumes of complex data. Data analysis has also played a salient role in the detection of credit card fraud in online transactions. Fraud detection in credit card is a data analysis problem, It becomes challenging due to two major reasons–first, the profiles of normal and fraudulent behaviors change frequently and secondly due to reason that credit card fraud data sets are highly skewed. This project propose investigation and to check the performance of various algorithms on highly skewed credit card fraud data. Dataset of credit card transactions is sourced from European cardholders containing 284,786 transactions. These techniques are applied on the raw and preprocessed data. The performance of the techniques is evaluated based on accuracy, sensitivity, and specificity, precision.
Review Paper on Computer Network Security and Privacy
Authors: Mali Ms. Smruti R. , Patil Ms. Amruta D. , Rode Prof. Mrs. K. N.
Published: June 2022

Abstract: As the sizable recognition of laptop community applications, its safety is likewise acquired a excessive diploma of attention. Factors affecting the protection of community are complex. Network safety is a scientific paintings, has the excessive challenge. For protection and reliability troubles of laptop community gadget, this paper mixed with realistic paintings experience, from the risk of community safety, safety technology, community a few Suggestions and measures for the gadget layout principle, with a purpose to make the loads of customers in laptop networks to decorate protection attention and grasp positive community safety technology. Keywords: Network, Security; Technology, Strategies, Principle.
A WebRTC Based Video Conferencing System with Screen Sharing
Authors: Kasetwar Abhay , Balani Nikita , Damwani Deepika , Pandey Alfiya , Sheikh Aafreen , Khadse Apeksha
Published: June 2022

Abstract: With the modern and rapid development of the internet, people's connections are more important than ever, and they're looking for new ways to communicate with one another in real time. WebRTC is a futuristic technology that enables realtime communication in audio, video, and data transmission through web browsers without the need for a plugin by using JavaScript APIs (Application Programming Interface). In this paper, we present a web peer-to-peer real-time communication system that allows users to communicate across a communication channel with high-speed data transmission using WebRTC technology, HTML5, and a Node.js server address. The outcome demonstrates that the system is stable, fully functioning, and secure. Keywords: WebRTC, Vide o Conferencing Application, Peer to Peer
Design of MBBR Based Sewage Treatment Plant
Authors: Kamble Priyanka R. , Lilhare Hiradas , Thakre Nalini
Published: June 2022

Abstract: Waste water recovery is the treatment or processing of waste water to make it applicable. In educational premises where the demand for water is huge, it's largely doable to borrow a system of waste water recycling for purposes like restroom flushing, gardening/ husbandry and for conservation of geography, since these are exercises with low physical contact. Among the available technologies for waste water treatment, MBBR grounded sewage treatment is most suitable. This paper demonstrates the detailed procedure for the design of a MBBR grounded sewage treatment factory of 530 KLD capacity for an educational lot
Assessment of Behaviour of High Performance Concrete on Incorporation of Waste Materials
Authors: Subudhi Tapan Kumar , Kumar N Manoj
Published: June 2022

Abstract: Disposal of wastes is one of the issues confronting the world today. Scientists all over the world are making efforts to minimize the production of wastes and to effectively recycle the waste. Reducing the green house gas emission and recycling of industrial wastes are the key areas of concern. Production of wealth will be a boon to the industries as the benefits are twofold: the pollution problem is addressed and the raw material shortage problem is also effectively tackled. Against this back-drop, in the present work, copper slag (CS) and Rice Husk Ash (RHA) is utilized as viable substitutes in concrete. M20 grade concrete with different mix proportion of sand replaced with copper slag from 0 to 70% and 0 to 25% cement replaced with Rice Husk Ash (RHA) and a combination of both (30% CS +10% RHA) is prepared. Tests for strength (compression and split tensile strength), acid resistance test and SEM analysis are carried out. The results of this work undertaken have revealed that peak strength is obtained on 30% replacement of sand with copper slag (45.3N/mm2) and 10% of cement with RHA (38.8N/mm2) and the combined mix gives good strength of 46.5N/mm.2 Keywords: Copper slag, Rice Husk Ash, Compression test, Acid resistance test, waste disposal
Design and Simulation of DFIG based Wind Energy System using AI EMS
Authors: S Rubini , Sankar Prof. P.
Published: June 2022

Abstract: Renewable energy sources are considered to be an unpredictable resource especially in wind turbines; rapid variation in wind speeds cause power fluctuations leads to interrupt the power system stability during the high-level power operation. To overcome these issue energy storage systems such as Battery storage is added to balance the grid and helps to balance the generated power and the power demand. The battery system is also used to mitigate the power fluctuations and helps to give more power to balance the load requirement. The proposed (EMS) Energy Management System integrates with the Artificial Neural Network for operation of both battery and wind system depending upon the demand need. In the case of the battery management system, the intelligent controllers help to control the State of Charge (SoC) limits of the battery to make sure the required time of charging and discharging. The proposed Artificial Intelligent Controller acts as an Energy Management System and Battery Management System as well as it is used for power balance generation and load also efficiently mitigating the voltage fluctuation during variation in the load. MATLAB is used for the simulation process since it contains the features of Artificial Intelligence which can in turn function as switching device. Keywords: Renewable energy sources, Battery Storage, Energy management system, State of charge, Artificial neural network etc.
Android Application for Image Steganography using Android Studio
Authors: Velmurugan Dr. K. Jayasakthi , S Ganesh , Visuvasam W Daniel Alfred , K R Akash
Published: June 2022

Abstract: Image Steganography is mainly used for hiding an image or secret message in a cover image. For data hiding, this technique is being widely used for so many years. Image steganography is being used now by government, individual sender and receiver, in business and in so many fields. Now-a-days, this process has become very popular worldwide. People are doing research on image steganography and inventing new even stronger algorithms for image steganography. Hiding data in cover image by modifying bits of that is now optimized by so many new algorithms. Enthusiastic people are increasing demand of researching on image steganography and developing PC software and mobile application using different developing tools, programming languages and their own invention, algorithms etc. Steganography is the process of hiding a secret message within a larger one, in such a way that someone cannot know the presence or contents of the hidden message. Although related, steganography is not to be confused with Encryption, which is the process of making a message unintelligible. Whereas, steganography attempts to hide the existence of communication. The main advantage of steganography algorithm is because of its simple security mechanism. Because the steganographic message is integrated invisibly and covered inside other harmless sources, it is very difficult to detect the message without knowing the existence and the appropriate encoding scheme. Keywords: steganography, hiding, algorithms
Virtual Reality (VR) and Augmented Reality (AR) Based 360 Degree Panoramic Environment Generator for Virtual Tour
Authors: Mitra Sourish
Published: June 2022

Abstract: We are entering an era of digital wonders and some of the most fascinating fields to have emerged from the technological revolution are virtual-reality and other related technologies, which are playing an increasingly important role in connecting the whole world like never before. The proposed platform will enable the rapid origination of virtual interactive environments using panoramic photos, videos with 360-degree orientation and audio along with the capability to integrate live audio and video in the virtual environment. A prototype for this platform has been designed by using the open-source Marzipano tool that uses the Apache 2.0 license and is hosted on an Amazon Elastic Compute Cloud-server. To create a virtual model, environment suitable panoramic images with 360-degree orientation are supplied and then interconnected together to form the virtual experience. In the present day and age, the need for such a platform has become increasingly vital as such a platform can be implemented to avoid social interactions as and when necessary, viz., in a situation where physically visiting a place is not possible due to the enactment of lockdown measures. The platform can also be used to very rapidly design and implement virtual-tours and campaigns. This brings with it the promise to ensure that people don’t feel isolated in case a physical visit to a location is not possible due to unforeseen circumstances such as pandemics and it can also be used by organizations and businesses for product marketing purposes by quickly creating interactive virtual environments showcasing their products to their prospective clients or by creating interactive virtual models which will enable their clients to gain an idea about their services in a manner similar to that of kinaesthetic-learning. Keywords: virtual-reality, Marzipano, Cloud-server, virtual-tours, pandemics, kinaesthetic-learning etc.
Selective Inventory Control Using ABC And FSN Analysis in Retail Sector: A Case Study
Authors: Kumar Amit , Shukla Dr. A. C
Published: June 2022

Abstract: Inventory is the most important assets of any Enterprises whether it is micro, small or medium. The efficient use of selective inventory control model will result high flexibility and control over surplus and deadstock inventory. The aim of this study is to identify various factors that affect the enterprises performance in urban region. The study is conducted in A2Z Pharmacy store in an urban region. Data that has been collected is of primary type and has been collected from the database of the pharmacy store. ABC and FSN analysis methods are used on 190 types of medicine. ABC-FSN matrix is prepared using ABC and FSN combined analysis. On the basis of combined analysis and priority matrix there are three sub-categories in which some sub-category element has to be eliminated by anyhow and some sub-category element has to be maintained with minimum stocks (i.e. safety stock) and some sub-category elements has to be maximised or maintained. Keywords: Inventory management, Selective control model, Pharmacy, Retail sector, ABC analysis, FSN analysis, ABS - FSN matrix, Urban region
Bank Loan Approval Prediction Using Data Science Technique (ML)
Authors: R Subhiksha , L Vaishnavi , B Shalini , Manikandan Mr. N.
Published: June 2022

Abstract: Banks are making major part of profits through loans. Loan approval is a very important process for banking organizations. It is very difficult to predict the possibility of payment of loan by the customers because there is an increasing rate of loan defaults and the banking authorities are finding it more difficult to correctly access loan requests and tackle the risks of people defaulting on loans. In the recent years, many researchers have worked on prediction of loan approval systems. Machine learning technique is very useful in predicting outcomes for large amount of data. In this paper, four algorithms are used such as Random Forest algorithm, Decision Tree algorithm, Naive Bayes algorithm, Logistic Regression algorithm to predict the loan approval of customers. All the four algorithms are going to be used on the same dataset and going to find the algorithm with maximum accuracy to deploy the model. Henceforth, we develop bank loan prediction system using machine learning techniques, so that the system automatically selects the eligible candidates to approve the loan. Keywords: Loan approval, Loan Default, Random Forest algorithm, Decision Tree algorithm, Naive Bayes algorithm, Logistic Regression algorithm, Loan prediction, Machine learning.
Smart Patriarch: Home Security and SMS Security Using IoT and Machine Learning
Authors: Abraham Snehal Mariam , Badhsha Ibrahim , Kurian Bobby , Jayalakshmi K , Mano Aiswarya , V V Krishnaveni
Published: June 2022

Abstract: A large fraction of the old in our society live away from nears and dears. Newspapers of today are flooded with attacks towards them. These attacks are not only physical, they are technical too. This paper presents a system employing fraudulent message detection wiping out the chances of old beign victims of fraud SMS ,and face detection, home automation, health monitoring system ensuring their physical security. An android application and a blynk application installed in both old users andchild’s mobile are the two applications employeed. The fraudulentmessage detection module classifies SMS delivered to the oldusing SVM classifier. Spam SMS alerts are displayed in the android application. Face detection module uses ESP32Cam to capture video frames and thereafter OpenCV to crop faces anda face recognition model to classify obtained faces as known and unknown. Unknown face alerts are given via the android application. The old might be unable to turn ON/OFF lights and fans everytime. Home automation system uses two PIR sensors one for light and other for light. PIR sensors detect motion and pass signals to relay modules and accordingly fan and light turn ON and OFF. Lights and fans can also be operated manuallyvia the android application. Most importantly health is what that matters .A health monitoring system in the form of blynk application collects data from temparature and pulse sensors anddisplays in the application. Alerts are displayed once the vitals exceed the preset threshold value. Index Terms: SVM, Home Automation, Convolutional neural networks, OpenCV
The Relationship of Employees' Promotion Focus and Job Crafting: Psychological Empowerment As a Mediator
Authors: Chen Weilong , Xiao Yuchun , Liu Yaxin , Wang Baohua
Published: June 2022

Job-crafting behavior has been found to be positively related to many organizational outcomes. This paper studied the relationship between individuals' promotion focus and job crafting via the mediating role of psychological empowerment. We collected data from 447 employees of two Internet companies in China using a survey consisting of items from scales validated in prior studies. We found that employees' promotion focus was related to their job crafting, and that psychological empowerment partially mediated this relationship. Our findings provide a reference for how to initiate employees' job crafting. We present the theoretical and practical implications of our findings and discuss future research directions.
Planificación del sendero Crestones-Terbi-Ventana, para protección de malacofauna endémica, Parque Nacional Chirripó, Costa Rica
Authors: Arias Navarro Hanz , Arias Navarro Adrián
Published: June 2022

Introducción: La creación de senderos dentro de áreas silvestres protegidas se ha realizado en gran medida según lineamientos culturales y sociales, más que por necesidades de flora y fauna, endemismo o capacidad de carga. Objetivo: Proponer un sistema de senderos que proteja a los caracoles y babosas locales. Métodos: Se aplicó una evaluación multivariada con la herramienta del programa ArcGis 10.6, incluyendo distancia/costo y Spatial Analyst, al sendero actual, y a tres alternativas. También encuestamos a personas con papeles clave en el uso y mantenimiento de senderos. Resultados: Una de las alternativas obtuvo los puntajes más altos (33 de 45 y 7,3 puntos ponderados) mientras que el camino actual obtuvo solo 11 y 1,9 puntos, respectivamente. Conclusión: Uno de los nuevos senderos propuestos beneficiaría tanto a los humanos como a la biota del parque.
Investigación participativa y conservación de especies amenazadas en dos áreas silvestres protegidas de la cuenca del río Cotón, Costa Rica
Authors: Gómez Hoyos Diego A. , Méndez José , González Estefany , Jiménez-Corrales Kerlyn , Fallas Ruddy , Méndez Adams , Méndez Rafael , Camacho-Durán María José , Jiménez Randall , Seisdedos de Vergara Rocío , Sandi-Amador Henry , Rojas Julio , Porras Junior , Schipper Jan , González-Maya José F.
Published: June 2022

Introducción: Las especies categorizadas como amenazadas según la UICN son reconocidas como una prioridad mundial de conservación, y su vulnerabilidad a la extinción demanda acciones inmediatas de conservación. La cuenca del río Cotón, que incluye la Zona Protegida Las Tablas y la Reserva Biológica Pájaro Campana, es una de las cuencas con más especies amenazadas en Costa Rica: al menos 35 especies de vertebrados en peligro de extinción. Objetivo: Identificar las especies amenazadas en la cuenca y sus amenazas, como base para su conservación. Métodos: Desde 2016 se identifican especies con cámaras trampa, observación directa en transectos, conteos puntuales y censos libres. Las amenazas se identificaron con talleres presenciales de “mapeo social”. Resultados: Obtuvimos registros recientes de 12 especies Vulnerables, 7 En Peligro y 1 En Peligro Crítico (13 de estudio convencional y 18 de los talleres). Las amenazas incluyen la caza ilegal, la deforestación y el uso excesivo de agroquímicos. Conclusión: Recomendamos esfuerzos directos y de sensibilización para conservar la importante fauna amenazada de la cuenca del río Cotón.
Prevalencia del hongo quitridio en la “especie abanderada” Atelopus varius (Anura, Bufonidae), Zona Protectora las Tablas, Costa Rica
Authors: Seisdedos de Vergara Rocío , Gómez Hoyos Diego A. , Alvarado Gilbert , Abarca Juan G. , Estrella Josimar , Schipper Jan , González Maya José F.
Published: June 2022

Introducción: El sapo arlequín, Atelopus varius, se encuentra en peligro crítico y fue declarada “aparentemente extinta” en Costa Rica en 1996. Una de las posibles causas fue el hongo patógeno Batrachochytrium dendrobatidis. En 2008 se redescubrió una población viva en Las Tablas y aquí analizamos la situación con este hongo. Objetivo: Evaluar prevalencia y probabilidad de infección del sapo por B. dendrobatidis. Métodos: Se recolectaron hisopados de piel de individuos vivos (para pruebas de ADN) y trozos histológicos de individuos muertos (para observación microscópica directa). Resultados: De 363 animales, solo el 6% tenía el hongo, particularmente los subadultos. Conclusión: La población de sapos parece estable, pero se debe tener cuidado de no propagar el hongo, aunque este sea actualmente escaso.
Marco conceptual para la conservación: investigación participativa, educación y comunicación en el Corredor Biológico AmistOsa
Authors: Gómez-Hoyos Diego A. , Valverde María Rosa , Marín Fabiana , Jiménez Corrales Kerlyn , Gutiérrez Figueroa Julissa , Amador Fernández Xaviera , Villegas Sandí Gilberth , Chacón Segura Lilliana , Seisdedos de Vergara Rocío , Trigueros Gómez Alexis , Salazar Alfaro Jaime
Published: June 2022

Introducción: Existen iniciativas de investigación participativa y educación ambiental en el corredor biológico AmistOsa, Costa Rica, pero aún no está clara la integración de estos procesos comunitarios. Objetivo: Proponer y probar un marco conceptual que integre la investigación participativa con la educación ambiental. Métodos: Consultamos a la comunidad para identificar la fauna y sus amenazas; produjimos un currículo para niños; y desarrollamos una estrategia de comunicación. Resultados: Identificamos 19 especies de vertebrados amenazados por la cacería, la deforestación y otros. Produjimos y probamos un programa educativo adaptado al contexto de 14 escuelas locales. Actualmente estamos desarrollando habilidades de comunicación para llegar tanto a escolares como a personal de investigación (por ejemplo, talleres de fotografía). Conclusión: Los resultados de este abordaje son satisfactorios y podrían ser aplicados a otras comunidades del Corredor Biológico AmistOsa.
Primeras páginas 14(suppl. 1), 2022
Authors: Research journal UNED
Published: June 2022

Primeras páginas 14(suppl. 1), 2022
Entre encruzilhadas e trincheiras: uma análise da escrevivência transmascuilina a partir do poema “Trans-parto”
Authors: Santos Dayanna Louise Leandro dos , Santos Thomas Cardoso Bastos , Dias Alfrancio Ferreira
Published: June 2022

A produção literária tem sido, hegemonicamente, território de reiteração de normas e legitimação de determinadas formas de ser e existir, reservado ao “outro” o papel de coadjuvante com desfechos demarcados pela tragédia. Em contrapartida, este campo também tem sido disputado por produções que buscam construir narrativas outras, reposicionando corpos considerados subalternos nas (e para além das) páginas literárias. Compreendido não só como arte, mas também como linguagem permeada de cunho ideológico, a literatura cria ficção e produz memória. Partindo deste princípio, o trabalho tem por objetivo analisar a construção de narrativas transmasculinas negras a partir do poema “Trans-parto”. Escrito por Bruno Santana, a obra lança olhares sobre processos de transição do autor enquanto corpo transmasculino negro. Com referência nos estudos produzidos por Santana (2021), Peçanha (2021), Evaristo (2017), discutiremos o potencial discursivo presente neste (des)fazer literário ao apresentar outras formas de masculinidades, confrontando assim um dos pilares dos cânones literários: a cisnormatividade.
Improving sustainable crop protection using population genetics concepts
Authors: Saubin Méline , Louet Clémentine , Bousset Lydia , Fabre Frédéric , Frey Pascal , Fudal Isabelle , Grognard Frédéric , Hamelin Frederic , Mailleret Ludovic , Stoeckel Solenn , Touzeau Suzanne , Petre Benjamin , Halkett Fabien
Published: June 2022

Growing genetically resistant plants allows pathogen populations to be
controlled and reduces the use of chemicals. However, pathogens can
quickly overcome such resistance. In this context, how can we achieve
sustainable crop protection? This crucial question has remained largely
unanswered despite decades of intense debate and research effort. In
this study, we used a bibliographic analysis to show that the research
field of resistance durability has evolved into three subfields: (i)
‘plant breeding’ (generating new genetic material), (ii) ‘molecular
interactions’ (exploring the molecular dialogue governing
plant–pathogen interactions) and (iii) ‘epidemiology and evolution’
(explaining and forecasting of pathogen population dynamics resulting
from selection pressure(s) exerted by resistant plants). We argue that
this triple split of the field impedes integrated research progress and
ultimately compromises the sustainable management of genetic resistance.
After identifying a gap among the three subfields, we argue that the
theoretical framework of population genetics could bridge this gap.
Indeed, population genetics formally explains the evolution of all
heritable traits, and allows genetic changes to be tracked along with
variation in population dynamics. This provides an integrated view of
pathogen adaptation, notably via evolutionary–epidemiological
feedbacks. In this Opinion Note, we detail examples illustrating how
such a framework can better inform best practice for developing and
managing genetically resistant cultivars.
A simple solution for the general fractional Ambartsumian equation
Authors: Ortigueira Manuel , Bengochea Gabriel
Published: June 2022

The Ambartsumian equation is studied and solved. A simple solution
expressed in terms of a linear combination of Mittag-Leffler functions
is deduced and implemented. A fast algorithm for its numerical
realization is described and examplified.
A weighted guided image filter for vessel enhancement using multiscale vesselness
Authors: Xu Guangyu
Published: June 2022

The guided image filter (GIF) provides a useful tool for image
processing. However, few works have tried to use GIF for vessel
enhancement on medical images. This letter presents an efficient GIF
based method for vessel enhancement, in which a weighted GIF (WGIF) is
introduced by incorporating a contrast-aware weighting into GIF. The
WGIF has the adaptive property, which enables it to achieve better
performance in noise reduction and edge preservation. In addition, we
assemble the multiscale vesselness measurement with the WGIF to produce
stronger enhancement results on small and thin vessel structures. The
proposed method achieves excellent results that illustrate its
effectiveness.
Differences in anthropometric measures of the orbit between Serbian and Roma populations of the Central Serbia
Authors: Vulovic Maja , Zivanovic-Macuzic Ivana , Balaban-Djurevic Radmila , Radunovic Aleksandar , Aksic Milan , Colovic Vladimir , Vojinovic Radisa
Published: June 2022

Introduction/Objectives. The shape and size of the orbital cavity are important parameters in planning surgical interventions and have significance in anthropology and forensic medicine. The aim of this study was to determine the morphometric characteristics of orbital cavity in Serbian population and to examine if there are differences in examined parameters between Serbs and the Roma Community of Serbia. Methods. Using computer tomography and subsequent multiplanar reconstruction we analyzed orbits from 76 Serbian and 18 Roma healthy volunteers. There was no significant difference in age between the ethnicities. Results. The height and width of the left orbit and the height of the right orbit were significantly higher in Roma group, whereas the width of the right orbit was not statistically different between ethnicities. Orbital indices, however, for both left and right orbit did not significantly differ between Serbian and Roma examinees. Right orbital volume did not differ between the groups, but left orbits had significantly larger volumes in Roma population. Finally, biorbital and interorbital width were both significantly higher in Roma than in Serbian examinees. We could not show differences between sexes except for the biorbital width, which had lower values in Serbian, but not Roma women than in men. Conclusion. Taken together, our results indicate larger orbits, as well as greater distances between the eyes in Roma than in Serbian examinees.