bluuebunny/crossref_metadata_2025 huggingface dataset:
Doctor Appointment Checklist
Authors: Gillen Martie , Wilken Carolyn S.
Published: July 2022

When you have a doctor appointment, you should make the most of your time with the doctor. This worksheet will help you remember what questions you want to ask and give you a space to take notes. This document is also beneficial if you are a caregiver for an older adult and go along to appointments. This revised 5-page fact sheet was written by Martie Gillen and Carolyn S. Wilken, and published by the UF Department of Family, Youth and Community Sciences, August 2012.
FCS2236/FY746: Doctor Appointment Checklist (ufl.edu)
Final Wishes: End-of-Life Decisions
Authors: Gillen Martie , Wilken Carolyn S.
Published: July 2022

As you grow older, you should discuss your final wishes with your family members so they will know what type of medical care you will want. The Five Wishes program and brochure present an easy way to communicate these decisions to your family and create a legal document. This revised 3-page fact sheet was written by Martie Gillen and Carolyn S. Wilken, and published by the UF Department of Family, Youth and Community Sciences, August 2012.
FCS2262/FY874: Final Wishes: End-of-Life Decisions (ufl.edu)
Healthy Living: Beating Barriers to Physical Activity
Authors: Hillan Jennifer , Bobroff Linda B.
Published: July 2022

Being active can help you function better and maintain your independence. It also can reduce your risk for getting some diseases, such as diabetes, and help you manage health problems you may already have. If you’re not active, what’s stopping you from getting started? Read on to learn how to overcome some common barriers! This revised 2-page fact sheet was written by Jennifer Hillan and Linda B. Bobroff, and published by the UF Department of Family, Youth and Community Sciences, September 2012.
Stable Fly (Dog Fly) Control
Authors: Kaufman Phillip E. , Weeks Emma N. I.
Published: July 2022

The stable fly is a blood-sucking filth fly of considerable importance to people, pets, livestock, and the tourist industry in Florida. Filth flies, including stable flies, exploit habitats and food sources created by human activities, such as farming. Stable flies primarily attack animals for a blood meal, but in the absence of an animal host, they will bite people. This revised 4-page fact sheet was written by P. E. Kaufman and E. N. I. Weeks, and published by the UF Department of Entomology and Nematology, August 2012.
ENY267/IG133: Stable Fly (Dog Fly) Control (ufl.edu)
Asian Ground Beetle, Mochtherus tetraspilotus (MacLeay) (Coleoptera: Carabidae: Lebiini)
Authors: Choate Paul M.
Published: July 2022

Mochtherus tetraspilotus (MacLeay) was first detected in southern Florida in 1992. Since then specimens have been collected in Gainesville and at Archbold Biological Station in Highlands County. Adult members of this group of Carabidae are known to be predators. The impact of this species on our native species remains to be determined, as does the source of introduction. Its rapid spread in Florida suggests that it may soon be found throughout the Gulf States. This 2-page fact sheet was written by Paul M. Choate and published by the UF Department of Entomology and Nematology, September 2012.
EENY-533/IN951: An Asian Ground Beetle, Mochtherus tetraspilotus (MacLeay) (Coleoptera: Carabidae: Lebiini) (ufl.edu)
Fusarium Wilt of Canary Island Date Palm
Authors: Elliott Monica L.
Published: July 2022

As the name implies, Fusarium wilt of Canary Island date palm is primarily observed on the Canary Island date palm. It was first documented in the United States in the 1970s in California, but it was not documented in Florida until 1994. It now occurs throughout the state. The fungus obstructs the xylem (water-conducting) tissue, which results in desiccation and death. This revised 5-page fact sheet was written by Monica L. Elliott, and published by the UF Department of Plant Pathology, August 2012.
PP-215/PP139: Fusarium Wilt of Canary Island Date Palm (ufl.edu)
Colletotrichum Crown Rot (Anthracnose Crown Rot) of Strawberries
Authors: Peres Natalia A. , MacKenzie Steven J.
Published: July 2022

Colletotrichum crown rot is caused by the fungi Colletotrichum gloeosporioides and Colletotrichum fragariae. Both pathogens kill strawberry plants by aggressively invading crown tissue. Crown rot is a serious disease in warm production regions, such as those in the southeastern United States. This revised 3-page fact sheet was written by Natalia A. Peres and Steven J. MacKenzie, and published by the UF Department of Plant Pathology, September 2012.
PP 238/PP156: Colletotrichum Crown Rot (Anthracnose Crown Rot) of Strawberry (ufl.edu)
Enfermedades fúngicas foliares de los cítricos para los patios y zonas residenciales
Authors: Dewdney Megan M. , Burrow Jamie D.
Published: July 2022

Este documento es una hoja de dos páginas ilustrativas para la identificación de las enfermedades fúngicas foliares de los cítricos.
This 2-page fact sheet was written by M. M. Dewdney and J. D. Burrow, and published by the UF Department of Plant Pathology, August 2012.
PP297/PP297: Enfermedades fúngicas foliares de los cítricos para los patios y zonas residenciales (ufl.edu)
Private Well 101: Drinking Water Standards
Authors: Zhuang Yilin , Albertin Andrea , Hornsby Arthur G.
Published: July 2022

Drinking water comes from a variety of sources, including public water systems, private wells, or bottled water. While public water systems are monitored under the federal Safe Drinking Water Act, private wells are not regulated. Private well users are responsible for the management and protection of their wells and water quality. This publication of the Department of Soil, Water, and Ecosystem Sciences is for Florida homeowners who are interested in learning more about drinking water standards. It also serves as a reference for well owners to understand their drinking water quality. Major revision by Yilin Zhuang, Andrea Albertin, and Arthur G. Hornsby; 10 pages.https://edis.ifas.ufl.edu/ss297
Reconociendo las Serpientes Venenosas de Florida
Authors: Johnson Steve A. , Main Martin B. , Areingdale Alejandra , Acevedo Miguel , Ubeda Armando
Published: July 2022

En Florida habitan más de 50 especies de serpientes nativas, de las cuales sólo seis son venenosas. Las especies venenosas incluyen cinco víboras crotalinas (la serpiente oriental de cascabel de dorso de diamante, el crótalo de los cañaverales, el crótalo pigmeo, la cabeza cobriza, la boca de algodón) y la serpiente coral. Las cabezas cobrizas y las serpientes crótalo de los cañaverales tienen un rango de distribución limitado en Florida. Esto incluye una área pequeña al oeste de Tallahassee y algunos condados al Noroeste de la Florida para las cabezas cobrizas, y el norte de Florida cerca de la ciudad de Gainesville para las serpientes crótalo de los cañaverales. Las otras cuatro especies venenosas son comunes en todo el estado. Las serpientes venenosas de Florida viven en una variedad de hábitats naturales, que incluyen desde los humedales hasta los bosques secos.
This is a Spanish language translation of the February 2020 version of: 
Johnson, Steve A., and Martin B. Main. 2005. “Recognizing Florida’s Venomous Snakes: WEC 202/UW229, 9/2005”. EDIS 2006 (2). https://doi.org/10.32473/edis-uw229-2005.
Instructional Methods for Distance Education
Authors: Telg Ricky W.
Published: July 2022

Much of the time, teaching with distance education technologies is a matter of adapting the teaching styles and instructional methods teachers have been using for years in the traditional classroom. This revised 5-page fact sheet applies basic teaching principles to distance education technologies. Written by Ricky W. Telg and published by the UF Department of Agricultural Education and Communication, September 2012.
AEC 345/WC026: Instructional Methods for Distance Education (ufl.edu)
Establishment of Agricultural Leadership Programs and the International Association of Programs for Agricultural Leadership
Authors: Carter Hannah , Culbertson Avery
Published: July 2022

The Kellogg Farmers Study Program established agricultural leadership programs in 1965. Today these programs, which are part of the International Association of Programs for Agricultural Leadership, are used around the world to develop leaders for “continued or future service to their community—rural, agricultural, or otherwise.” This 3-page fact sheet was written by Hannah Carter and Avery Culbertson, and published by the UF Department of Agricultural Education and Communication, October 2012.
2021 Snapshot of Citizens’ Awareness and Understanding of Florida’s Irrigation Restrictions
Authors: Warner Laura A. , Dukes Michael D. , Taylor Nicholas , Irwin Deirdre , Harmon Jim
Published: July 2022

A new 5-page UF/IFAS numbered publication of the Department of Agricultural Education and Communication. The information presented here is intended to inform water management district personnel, utility staff, public employees, and other educators and communicators who are charged with developing policies, promoting water use efficiency, and enforcing irrigation restrictions as a water conservation tool. Written by Laura A. Warner, Michael D. Dukes, Nicholas Taylor, Deirdre Irwin, and James Harmon.https://edis.ifas.ufl.edu/wc418
Game Edukasi Mengenal Negara Asean Untuk Meningkatkan Minat Belajar Berbasis Android
Authors: Saputra Wahyu , Ade Irma Purnamasari  , Raditya Danar Dana  , Fathrurrahman  , Ade Rizki Rinaldi
Published: July 2022

Ilmu pengetahuan merupakan kebutuhan dasar setiap manusia yang pada dasarnya harus dipenuhi sebagai bekal hidup dimasa mendatang. Dalam hal ini sebuah pengetahuan harus lebih diperdalam untuk menembah wawasan seseorang. Namun tidak semua sistem dan fasilitas dalam sekolah mencukupi kebutuhan belajar mengajar yang baik. Pembelajaran ilmu pengetahuan sosial sudah diajarkan kepada pendidik sejak sekolah dasar, salah satunya mengenai pembelajaran pengenalan negara ASEAN. Kurangnya media pembelajaran pendukung dalam proses pembelajaran, mengakibatkan siswa-siswi menjadi cepat bosan menurutnya jika sebuah metode pembelajaran yang menarik akan membangkitkan semangat siswa-siswi dalam proses belajar. Dengan membangun media pembelajaran pendukung berupa game edukasi pengenalan negara ASEAN yang diterapkan ke  sebuah smarphone berbasis android sehingga dapat digunakan oleh semua kalangan. Berdasarkan teori pengembangan SDLC (System Development Life Cycle) yaitu: analisis, desain, implementasi, pengujian, dan pemeliharaan. Pengujian blackbox yang dilakukan mampu menampilkan dengan baik dan dapat memainkan fungsi yang diinginkan. Pengujian data kelayakan game bahwa variabel Perceived Usefulness (0,003)  dan Perceived Ease of Use (0,038) dikatakan < dari 0,05 sehingga berpengaruh terhadap game yang diterapkan pada siswa-siswi kelas 3 SDN 3 Buntet Cirebon
Klasifikasi Surat Pemberitahuan Pajak Daerah Menggunakan Metode Regresi Logistik Biner Untuk Mengetahui Patuh Dan Tidak Patuh Dalam Pembayaran Pajak Daerah
Authors: Mohamad Ripai  , Umi Hayati  , Wita Widyawati  , Heliyanti Susana  , Fathurrohman
Published: July 2022

Pajak adalah sebagai suatu kewajiban warga negara berupa pengabdian serta peran aktif warga negara untuk pembangunan nasional maupun daerah berdasarkan Peraturan Undang-Undangan. Tetapi Tingkat kepatuhan wajib pajak yang masih rendah karena belum tercapainya target penerimaan pajak daerah, oleh karena itu peneliti tertarik untuk meneliti bagaimana tingkat kepatuhan wajib pajak di Badan Pengelola Keuangan dan Pendapatan Daerah (BPKPD) Kota Cirebon. Tujuan dari penelitian ini adalah untuk menklasifikasikan jenis dan wajib pajak mana saja yang masih banyak menunggak terhadap Kepatuhan Wajib Pajak. Metode yang digunakan dalam penelitian ini yaitu menggunakan metode Regresi Logistik, untuk mencari hubungan antara variabel respon (y) yang bersifat biner dengan variabel prediktor (x) dari 2 kategori yaitu tepat waktu dan tidak yang dinotasikan dengan y=1 (patuh) dan y=0 (tidak patuh). Hasil yang diharapkan yaitu diketahuinya tingkat kepatuhan wajib pajak berdasarak jenis pajaknya.
Gingival Crevicular Blood as a Diagnostic aid for the Detection of Diabetes Mellitus: an in-Office Chairside Test in Dental Practice
Authors: Pragna Battu , Shukla Pradeep , Ahsan Aamir , Shirisha G. , Goud Balasani Vinay , Padma Kothuri
Published: July 2022

Background: Diabetes is a chronic metabolic disease because of the elevated levels of glucose in the blood. And usually most of the diabetic patients are left undiagnosed in their early stages of the disease because of the unnoticeable symptomsby the patients

which could lead to the severe damage to the body system, hence an early diagnosis is very important and life saving indiabetic patients.

Aim: aim of the present study is to evaluate the accuracy of gingival crevicular blood as a diagnostic tool in diabeticpatients.

Methods: This study involves total 50 patients 25 diabetic and 25 non diabetic patients, with moderate to severe periodontitis. Regular dental check-up is done including periodontal pocket depth probing. Blood oozing from the gingival crevice was collected with the strips of glucose self monitoring devise. To the same patient finger stick Blood glucose level and venous blood[ VB] glucose level with standardized laboratory method was taken.

Results: The results showed significant strong correlation between all three groups. With p value (P < 0.001).

Conclusion: Blood oozing during the pocket detection can be used for diagnosing aid in diabetes.

Keywords: gingival crevicular blood, Finger stick blood, venous blood, diabetes mellitus, Glucometer, chronicperiodontitis.
Accident Alert System Using IoT
Authors: Prof. Girija Chiddarwar  , Sanket Dhivar  , Atharva Kulkarni  , Bodhisatva Gajbhiye  , Nishant Chaudhari
Published: July 2022

As technology has developed so has our methods of interacting with them. The system proposed during this paper is to detect the accident of user/person at anytime from anywhere in world. Accident threatens human lives more. Road accidents are common today. Accident Alert System (AAS) is utterly a completely unique research area. So as to avoid such collisions we’ve got designed the system called “Accident alert system using IoT”.
This project presents localization system using GPS and SMS services. Many lives could have are saved if the desired attention was given at the time of need. With the assistance of this technique, the desired attention may be given to the victims by alerting the victim’s members of family, colleagues and friends. This technique helps to locate the victim and track him down. If the vehicle is stolen or misplaced then the system helps us to seek out the vehicle using GPS. The placement of the victim is transmitted to the dear ones by using GSM technology. Together with the notification as a SMS, the location at which the accident is taken place is shared using the Google maps link. Various different technologies like GSM, GPS, and switch sensor have been used for designing such system. During this report, a number of this method are discussed and revived so as to focus on their advantages, disadvantages and future scope.
Accident alert system main aim is to rescuing people in accidents. Also tracking a vehicle just in case of any theft has become a tricky job. This method aims to alert the near and dear ones of the person within the vehicle about the accident to produce immediate treatment. During this system when a vehicle meets with and accident immediately impact sensor will detect the signal and send it to Arduino (atmega328p). Immediately microcontroller sends the signal to GPS module to convey the precise geographical location.
Evaluation of Machine Learning Approaches for Classification of Fake News
Authors: Reeya Baria  , Sheshang Degadwala  , Rocky Upadhyay  , Dhairya Vyas
Published: July 2022

Due to the obvious easy accessibility and exponential increase of information accessible on social media channels, differentiating between bogus and authentic information has become challenging. As a consequence, some scholars are concentrating on identifying bogus news. The bulk of saliency detection tools focus on the device's linguistic properties. However, they have problems recognizing particularly ambiguous false news, that could only be detected after establishing the content and most current linked information. To solve this problem, this research will provide a new Indian false news detection method based on a factual data base that's also generated and refreshed by human morality after accumulating evident facts. Our system takes a hypothesis and scans the Fact central database for conceptually similar stories in order to assess whether the given claim is false or not before contrasting it to the similar stories. To bypass these limits, the review will describe a unique matching strategy that takes use of all the article streamlining and entity discovery sets.
In this survey we learned different machine learning algorithms and its functionality with its benefits and downsides.
Agricultural Production Optimization
Authors: Kavya Gupta  , Nidhi Senger  , Vasudha Bahl  , Amita Goel
Published: July 2022

A large number of people have attempted to create mathematical models in order to develop and optimize agricultural production; however almost none of them address the factors such as use of fertilizers (N, K, P) and PH of the soil. More use of fertilizers can deteriorate the fertility of soil and can lead to the low production for years to come. In this study a predictive model is formulated that aims to predict the best crop to be grown in available weather conditions and nutrients present in the soil thereby reducing the use of chemicals and taking a step forward towards organic and chemical free agriculture. This model also focuses on the point that there is no need to grow the same crop in same field every time.
Detection of False Statement from Social Media using Machine Learning Algorithms
Authors: M. Sree Vani  , Gousya Begam
Published: July 2022

The proliferation of misleading information in everyday access media outlets such as social media feeds, news blogs, and newspapers has made it challenging to identify trustworthy news sources, thus increasing the need for computational tools able to provide insights into the reliability of online content. People intentionally spread these counterfeit statements with the help of web-based social networking sites. The fundamental objective of false statements is to influence the popular belief on specific issues. The main goal of false statements is to affect public opinion on certain matters. The aim of this paper is to find and detect false statements made by individual public figures using machine learning algorithms. A system is proposed in this paper that identifies whether a given statement is false or not by making use of a provided training dataset and the algorithms used. The results are concluding that Logistic Regression provides 98% the highest percentage of accuracy among various machine learning algorithms.
LPG Gas Leakage Detector with RC - Car: Using Arduino
Authors: Jinesha Sharma  , Megha Dhotay
Published: July 2022

Gas Leakage which has caused tremendous Industrial and human loss, which is a threat to human lives. To prevent such accidents a Gas Leakage detector is much needed. To overcome this Problem we have introduced an Arduino based LPG Gas Leakage Detector which will detect the Hazardous Gas Leakage with the use of a Sensor. Advantage of this system is It can be used anywhere it is safe and works with efficiency. A Gas Sensor can be used in Industries as well as households, restaurants, service stations, cars, storage tanks , etc. To sense the Gas Leakage it is attached to an alarm circuit that gives us an alert to the operators through buzzer sound in the area where the Gas Leakage is occurring. One main motive about introducing this IOT model is to promote smart homes and industries.
Analysis of Data Performance that Reduces Resource Utilization Overheads and Increases the Efficiency
Authors: Anilkumar Ambore  , Udaya Rani V
Published: July 2022

In today, the size of the data is increasing at a random speed. So, this leads to processing of Big data. When we compare this in business applications where the volume of data is huge and at the same time it should be processed in efficient manner. Traditional system fails to process the bigdata because most of the data in bigdata is unstructured. To improve performance in distributed data processing resource utilization plays vital role. There are resource gaps develop while execution occurs. This is more frequent in heterogeneous environment. In the previous techniques there is wastage or not efficient usage of resources. To process data in distributed environment multiple platforms used such as Apache Hadoop, Apache Spark etc. Here we develop new algorithm that reduces the usage of resources and increases the performances. The algorithm implemented in Apache Spark distributed environment. The experimental results indicate efficient utilization of resources and increase in performance.
Face Mask Detection using Open-Source Computer Vision Library and Scikit-Learn using Machine Learning
Authors: G. Poojitha  , S. Ganesh Kumar  , G. Harsha Vardhan  , M. Bhargavi  , Mr. Vishwanadha Reddy
Published: July 2022

In this pandemic has rapidly affected our day to-day life disrupting the world trade and movements. Wearing a protective face mask has become anormal. In the near future, many public service providers will ask the customers to wear masks correctly to avail of their services. Therefore, face mask detection has become a crucial task to help global security. This project presents a simplified approach to achieve this purpose using some basic Machine Learning packages like OpenCV and Scikit-Learn. The proposed method detects the face from the image correctly and then identifies it has a mask on it or not. As a surveillance task performer, it can also detect a face along with the mask in motion. This method attains accuracy almost up to 90% on two data sets. We explore optimized values of parameters using the Viola Jones detection framework used to detect the presence of masks correctly without causing over-fitting.
Spoken Language Recognization Based on Features and Classification Methods
Authors: Pooja Bam  , Sheshang Degadwala  , Rocky Upadhyay  , Dhairya Vyas
Published: July 2022

In Western countries, speech-recognition applications are accepted. In East Asia, it isn't as common. The complexity of the language might be one of the main reasons for this latency. Furthermore, multilingual nations such as India must be considered in order to achieve language recognition (words and phrases) utilizing speech signals. In the last decade, experts have been clamoring for more study on speech. In the initial part of the pre-processing step, a pitch and audio feature extraction technique were used, followed by a deep learning classification method, to properly identify the spoken language. Various feature extraction approaches will be discussed in this review, along with their advantages and disadvantages. Purpose of this research is to Learn transfer learning approaches like Alexnet, VGGNet, and ResNet & CNN etc. using CNN model we got best accuracy for Language Recognition.
Error Detection and Correction for Golay Code & Extended Golay Code using Cyclic Redundancy Check
Authors: Sudha Kumari  , Dr. Laxminarayan Gahalod  , Dr. Soni Changlani
Published: July 2022

In this paper certain optimization techniques are proposed to reduce the encoder and decoder computation time of cache memory that is affected by soft error and by implementing ECC such as cyclic and block codes. Error that is adjacent by a width of three and two bits are the prime concern of this thesis. Optimised Golay code (23, 12) and new block code size (32, 19) which is also optimised are presented. Nevertheless, cyclic code is efficient compared with block code however, the prime concern of the thesis is to address the triple and double adjacent errors which also includes single bit error, in this regard built-in capability of Golay code is optimised and used for comparison. The extended Golay code is implemented in term of number of slice, number of LUT and maximum combinational path delay compared with existing Golay code.
Voice Controlled Robotic Car using Arduino
Authors: Prof. Swati Khawate  , Komal Prajapati  , Yash Anand  , Kakshil Chandodwala
Published: July 2022

The project entitled “Voice Controlled Robotic Car” aims to build a car that reacts in accordance to the corresponding voice command of the user. Simple voice commands like left, right, forward, back, and stop is used for various movement of the car. The idea is to first design the hardware prototype and then develop the entire working code. At the heart of the car is Arduino UNO, which acts as the brain of the car. To the Arduino UNO are all the other hardware interfaced. The code is then developed, simulated, and fed to the Arduino UNO using the IDE. The car is then connected and controlled wirelessly via a smartphone. This wireless coordination is accomplished with the help of a HC-05 Bluetooth module. Voice commands are given to the robotic car via the android application installed in the smartphone Additionally, an HC-SR04 ultrasonic sensor is also interfaced, which when on detecting an obstacle stops the car, henceforth, preventing the collision.
Network attack Prediction using Supervised ML Algorithm
Authors: R. Geetha  , Shubham Burman  , Vikram Posala  , Pavan Kumar S  , Sagar K K
Published: July 2022

Generally, to create data for the Intrusion Detection System (IDS), it is necessary to set the real working environment to explore all the possibilities of attacks, which is expensive. Software to detect network intrusions protects a computer network from unauthorized users, including perhaps insiders. The intrusion detector learning task is to build a predictive model (i.e. a classifier) capable of distinguishing between "bad" connections, called intrusions or attacks, and "good" normal connections. To prevent this problem in network sectors have to predict whether the connection is attacked or not from Kaggle dataset using machine learning techniques. The aim is to investigate machine learning based techniques for better packet connection transfers forecasting by prediction results in best accuracy. To propose a machine learning-based method to accurately predict the DOS, R2L, UU2R, Probe and overall attacks by prediction results in the form of best accuracy from comparing supervise classification machine learning algorithms. Additionally, to compare and discuss the performance of various machine learning algorithms from the given dataset with evaluation classification report, identify the confusion matrix and to categorizing data from priority and the result shows that the effectiveness of the proposed machine learning algorithm technique can be compared with best accuracy with precision.
Attendance Management System Using Facial Recognition
Authors: Rajesh Kumar S  , Farzana A  , Gurijala Prajwal Nagabhaskar  , Lakshmi  , Vanitha T P
Published: July 2022

The main purpose of this project is to build a face recognition based attendance management system for any institution or organization to enhance and upgrade the current attendance monitoring system in to a more efficient and effective one. The current system has lot of ambiguity that causes inaccurate and inefficient attendance record. Problems of attendance monitoring and management that exists in the current system can be resolved using current emerging technologies. The technology working behind this proposed project will be the face recognition system. The human face is one of the natural traits that can uniquely identify an individual. Possibilities for a human face to change or being duplicated is low. In this project, databases of human face images will be created to use them in the recognizer algorithm. During the attendance human faces will be compared against the stored data to seek for identity. When an individual is identified, attendance will be recorded automatically by saving the necessary information in to an excel sheet database. Further the saved attendance information can be used for monitoring and management purposes.
Task and Sales Manager Web Application
Authors: Gaurav Mishra  , Achal Srivastava  , Mohit Kumar Pandey  , Pulkit Garg  , Anjali Awasthi
Published: July 2022

The purpose of the Web Application and Sales Manager Web application is to automate the existing hands-on system with the help of fully computerized software and software, to meet their needs, so that their important data / information is stored longer and easily accessible. and similar fraud. The required software and hardware are easily accessible and easy to operate. This application can lead to a flawless, secure, reliable, and fast management system. It can help the user to focus on other tasks instead of focusing on keeping records. Thus, it will help to plan for better utilization of resources. An organization can store computer records without unnecessary access. That means you don't have to be distracted by useless information, while being able to access information. Basically, the project outlines how to manage efficiency and better customer service.
Preparation of Action plan for elimination of Accident at black spot (A Case Study)
Authors: Ajit Bhadade  , Dr. Ishfaq Rashid Shaikh  , Dr. P. L. Naktode
Published: July 2022

The number of traffic accidents globally is increasing as the world's population expands and cars become more widespread. Improved geometric design, congestion management tactics, and greater driver education and enforcement are all traditional ways to prevent collisions. While these procedures are often beneficial, they are frequently impractical or prohibitively expensive to put in place. Many factors play a role in traffic accidents, and some of them have a significant impact on one another, making it impossible for transportation safety engineers to use just one parameter to adequately explain the severity of traffic accidents. The number of traffic crashes can be reduced by studying parameters involved in traffic crashes utilizing combined contemporary models that include the interplay of input and output variables. Road and traffic accidents are a leading source of death and disability around the world. A collision between a conveyance and another conveyance, a person, or other items is referred to as a road contingency.
In rapidly developing metropolitan agglomerations, road traffic accidents are a big concern. There is a substantial body of research literature that sheds light on the scope of the problem and the remedies that are required. Road traffic accidents are the third leading cause of unnatural death among all deaths. Transportation engineers and academics have attempted to construct safe roads that adhere to suitable design standards, yet traffic accidents are inescapable. If an accident occurs, the reasons that caused it must be identified, and suitable corrective measures must be established and implemented as soon as possible. The goal of this study is to gain a better knowledge of the problem of road traffic accidents and identification of black spot-on BG Road in Sivasagar City and ends at Sapekhati and the factors that may contribute to the high accident rates.
Effect of UV-curing conditions on the cationic polymerization kinetics of vinyl ether monomers
Authors: Duong Hong Quyen  , Hoang Thi Kieu Nguyen
Published: July 2022

In this study, the performance of a new triarylsulfonium photoinitiator in the initiation of cationic polymerization of vinyl monomers was investigated by infrared spectroscopy (IR). The effect of the emission spectrum of light sources on the kinetics of the curing process was examined. The results indicate that the light source characterized by a total overlap of its emission spectrum with the photoinitiator absorption spectrum is the best system for effective cure. In the case of smaller overlap of spectrums, the conversion degree and the rate are lower. Nevertheless, it is easy to regulate by extending the energy of the emitted light. At the UVB light source, the maximal conversion degree is 71.8%, with the polymerization rate of 1.68 s-1, which is faster than the corresponding free-radical photopolymerization of acrylic monomers.
Design and Fabrication of Chairless-Chair using Pressure Cylinder and Flow Control Valves
Authors: Adarsh P. D  , Vinayak Bhajantri  , Dr. Ravi Prakash M
Published: July 2022

Today the world is now going to be compact. For suitability to the world, things are also going to be made of compact and smaller in size. Now the battle is also done between machines instead of man to man. Machine, which is fighting, are operated and driven by man sitting instead the vehicle or being in touch with the machines. Also, the human has to win the war against the increasing oil prizes and tremendously increasing pollution level in the air. To win this war and to thought regarding another parallel motive force to the auto- mobile, we have thought of manufacturing “CHAIRLESS CHAIR” through the mission of project. Project is a mission of creating something new, which is innovative i.e. manufacturing of a new product.
Effect of Ink Tack Value on the Ink Trapping in Lithographic Printing
Authors: Duong Hong Quyen  , Hoang Thi Kieu Nguyen
Published: July 2022

This study investigated the effect of ink tack value on the ink transfer process in lithographic printing. The ink trapping is estimated optically with the use of densities. The ink trapping alters as a function of ink tack difference between the lower and upper ink. For the set of process colour inks that the tack difference between them is lower than 1 point, the ink trapping increases as the higher tack ink overprints lower tack ones. The proper ink sequence for the investigated system is M-C-Y.
Fashion-MNIST Clothing Classification using Deep Learning
Authors: Rajesh Kumar S  , Darshan R  , Akshay G S  , Bhoomika M
Published: July 2022

Online fashion market is constantly growing, and an algorithm capable of identifying garments can help companies in the clothing sales sector to understand the profile of potential buyers and focus on sales targeting specific niches, as well as developing campaigns based on the taste of customers and improve user experience. Artificial Intelligence approaches able to understand and label humans’ clothes are necessary, and can be used to improve sales, or better understanding users. Convolutional Neural Network models have been shown efficiency in image c1assification. It presents four different Convolutional Neural Networks models that used Fashion-MNIST dataset. Fashion-MNIST is a dataset made to help researchers finding models to classify this kind of product such as clothes, and the paper that describes it presents a comparison between the main classification methods to find the one that better label this kind of data. The main goal of this project is to provide future research with better comparisons between classification methods.
Controlling and Monitoring Greenhouse Temperature using IoT
Authors: Suchethana H C
Published: July 2022

Current agricultural practices modern technologies for better yields. It provides a model of a smart greenhouse, which helps the farmers to carry out the work in a farm automatically without the use of much manual inspection. Greenhouse, being a closed structure protects the plants from extreme weather conditions namely: The Temperature, Humidity, Air and, Soil Moisture and is accessed by the authorities. The technique works on the strategies of IOT that may be a rising technology supported the fusion of natural philosophy and applied science. The concept of IOT helps to access data from remote locations. Greenhouse system provides the ability for specific people to monitor and manage their systems remotely, using a web application.
Secure Digital Voting System Based on Blockchain Technology - A Survey
Authors: Kantharaju. V  , Dhanalakshmi M. V  , Nidhi  , Deepa B  , Almas A
Published: July 2022

Online voting is a trend that is gaining momentum in modern society. It has great potential to decrease organizational costs and increase voter turnout. It eliminates the need to print ballot papers or open polling stations— voters can vote from wherever there is an Internet connection. Despite these benefits, online voting solutions are viewed with a great deal of caution because they introduce new threats. A single vulnerability can lead to large- scale manipulations of votes. Electronic voting systems must be legitimate, accurate, safe, and convenient when used for elections. Nonetheless, adoption may be limited by potential problems associated with electronic voting systems. Blockchain technology came into the ground to overcome these issues and offers decentralized nodes for electronic voting and is used to produce electronic voting systems mainly because of their end-to-end verification advantages. On the other hand, the most often mentioned issues in blockchain applications are privacy protection and transaction speed. For a sustainable blockchain- based electronic voting system, the security of remote participation must be viable, and for scalability, transaction speed must be addressed. Due to these concerns, it was determined that the existing frameworks need to be improved to be utilized in voting system.
Employee Background Verification on Blockchain
Authors: Karan Mahajan  , Saurabh Pathak  , Shubham Take  , Dr. Chhayaa Pawar
Published: July 2022

In any hiring process, verifying the accuracy of the information provided by the recruiter is the first step in establishing compliance with the company and the employee. For the same reason, miles are too sensitive to make a complete history check for each hired student, without exemption. The study record reveals that employers around the world face a huge loss annually due to misrepresentation of confidential information by hired applicants. Particularly in India, it has been reported that one in six applicants misrepresents themselves. Such alarming data has accelerated the search and visibility of historical experiments in recent years. With the global transformation of the job market, it is very difficult to get a job in a company. People use their curriculum vitae with incorrect details to find the process. International organizations are investing closely to verify the historical facts of job applicants. However, the background verification process completed by those organizations is expensive, time-consuming, and inefficient. To address this issue, we have introduced a powerful response to the use of Design Science Research Methodology where the hash values of all application files offered by multiple companies are stored within the consortium blockchain. Details of the applicant's process can be established at a specific time in the hiring process by checking the hash file value given the document hash value that will be available within the blockchain. This method can be efficient, time-consuming, and cost-effective to include all types of companies.
Design And Implement of Automatic Fire Detection and Monitoring In Forest Zone
Authors: Dr. R. Suganya  , S. Jamuna
Published: July 2022

Separately as of cause sad defeat of life and precious usual and person property counting thousands of hectares of woods and hundreds of house, woods fire are a huge threat to not wastefully fit full-grown forest and defence of the surroundings. Every day, thousands of woods fire crossways the sphere reason disaster further than gauge and account. This subject has be the investigate attention for a lot of being; present are a enormous quantity of extremely healthy deliberate solution obtainable out present for difficult or still prepared for employ to make your mind up this difficulty. The wood is one of the mainly significant prosperity of each state. The forest fire destroy the flora and fauna habitat, compensation the surroundings, affect the climate, plunder the organic property of the earth, etc. So the woodland fire discovery is a chief subject in the three decade. At the similar occasion the woods fire contains to be detect as quick as likely.
Implementation of SHA256 Algorithm for Securing Medical Data using Machine Learning and Block chain Techniques
Authors: Ravindra Changala  , M. Naresh
Published: July 2022

Data is the input for various artificial intelligence (AI) algorithms to mine valuable features, yet data in Internet is scattered everywhere and controlled by different stakeholders who cannot believe in each other, and usage of the data in complex cyberspace is difficult to authorize or to validate. As a result, it is very difficult to enable data sharing in cyberspace for the real big data, as well as a real powerful AI. In this paper, we propose the SecNet, an architecture that can enable secure data storing, computing, and sharing in the large-scale Internet environment, aiming at a more secure cyberspace with real big data and thus enhanced AI with plenty of data source, by integrating three key components: Blockchain-based data sharing with ownership guarantee, which enables trusted data sharing in the large-scale environment to form real big data; AI-based secure computing platform to produce more intelligent security rules, which helps to construct a more trusted cyberspace; Trusted value-exchange mechanism for purchasing security service, providing a way for participants to gain economic rewards when giving out their data or service, which promotes the data sharing and thus achieves better performance of AI. Moreover, we discuss the typical use scenario of SecNet as well as its potentially alternative way to deploy, as well as analyze its effectiveness from the aspect of network security and economic revenue.
A Review on Ecopharmacovigilance and their Major Impact on Bio-Diversity
Authors: Miss. Rakshe Payal  , Mr. Tambe Abhijit  , Miss. Kumbhar Jagruti  , Miss. Uchale Pratiksha  , Prof. Datkhile Sachin
Published: July 2022

Ecopharmacovigilance (EPV) included science and activities associated with the detection, evaluation, understanding, and prevention of adverse effects of pharmaceuticals in the environment. These drugs enter the environment in a variety of ways, creating negative impacts. Vultures dying after eating the carcasses of animals treated with Diclofenac sodium, Ethinyl oestradiol negatively affecting fish through "feminization" of males, Ivermectin negatively affecting dung beetle growth, Fluoxetine causing behavioural changes in shrimps, and bacterial resistance are just a few examples of drugs that have harmful effects on the environment. Some corrective methods that can be expected to reduce the number of pharmaceuticals entering the environment include lowering pharmaceutical waste, enhancing the efficiency of sewage treatment plants, green pharmacy, and developing better medication disposal systems. Regulatory agencies have tried a variety of approaches to mitigate the environmental impact of pharmaceuticals, including Environmental Risk Assessment (ERA) of drugs, Resource Conservation and Recovery Act (RCRA), and Risk Mitigation Measures. Drug effects must be monitored not only for medical reasons, but also to protect the environment.
Aspect Based Sentiment Analysis
Authors: Prachi Chavan  , Sneha Bohra
Published: July 2022

Sentiment analysis, which addresses the computational treatment of opinion, sentiment, and subjectivity in text, has received considerable attention in recent years. In contrast to the traditional coarse-grained sentiment analysis tasks, such as document-level sentiment classification, we are interested in the fine-grained aspect-based sentiment analysis that aims to identify aspects that users comment on and these aspects’ polarities. Aspect-based sentiment analysis relies heavily on syntactic features. However, the reviews that this task focuses on are natural and spontaneous, thus posing a challenge to syntactic parsers. In this paper, we address this problem by proposing a framework of adding a sentiment sentence compression (Sent Comp) step before performing the aspect-based sentiment analysis. We apply a discriminative conditional random field model, with certain special features, to automatically compress sentiment sentences. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in textual data. sentiment analysis proves to be an incredible asset for users to extract essential information and assists organizations with understanding the social sentiment of their brand, product or service while monitoring online conversations.
Mobile Phone Based Home Surveillance System
Authors: G. K. Singh  , S. J. Sharma
Published: July 2022

This paper presents an application of the GSM technology. Using the public GSM networks, a mobile phone based home surveillance system has been designed. The system automatically sends sms messages to specified phone / phones in case any door or window is opened by some intruder. The system also allows the homeowner monitoring and controlling the electrical home appliances via the mobile phone by sending commands in the form of SMS messages and receiving the appliances status. Virtual control panel is realized using VB on windows 98. Electronic circuit to control security and electrical appliances is interfaced to PC using PCL-812 Lab card. This home surveillance system has been tested and found to very effective in security control as well as controlling and monitoring electrical home appliances virtually from any place.
Experimental Studies on Estimation of Damping: Cantilever Beam
Authors: K. Guru Brahmam
Published: July 2022

Present study deals with the finding the damping ratio experimentally for different methods and diffentiate between methods, such as Logarithmic decrement. Circle fit Method, F-D curve, half power method, and Sine sweep method. The assumptions followed is linear system where its dynamic behavior can be described by a second order diffential equation in It is time invariant, It is under damped system. MATLAB coding developed for above methods. Damping ratio is formulated and discussed for different methods.
Shape Optimization of Swarm Robot
Authors: Shubhangi G. Kamble  , Ajinkya Patare  , Komal Bhusate
Published: July 2022

Shape Optimization attempts to integrate the geometrical modelling, Structural analysis and optimization into one complete and automated computer aided design process. It determines the optimal shape of the object while considering all of the conditions. This paper presents are simpler and less computationally expensive technique to perform the Shape optimization. Finite elemental analysis on limited number of model and generation of Surrogate model is the key idea to limit the number of simulations. Finally, The Genetic Algorithm is implemented to obtain the optimal shape of the model. This complete procedure is implemented for the Swarm robot, where it's optimal shape is obtained while considering all of the conditions and constrains.