bluuebunny/crossref_metadata_2025 huggingface dataset:
Sleep Needs for Children
Authors: Smith Suzanna
Published: July 2022

“Does your school-aged child complain about being sleepy during the day, doze off in class, or yawn a lot? Does he or she go to bed late or have trouble falling asleep? If so, your child may not be getting enough sleep.” This 2-page Family Album Radio transcript was written by Suzanna Smith and published by the UF Department of Family, Youth and Community Sciences, October 2012.
Respite Care for Caregivers of Older Adults
Authors: Smith Suzanna
Published: July 2022

“My 90-year-old grandmother lived with my mom and dad in her final years. She was comfortable there and had the help, support and affection she needed. My parents prepared healthy meals for her, took her shopping, to doctor’s appointments, and to visit friends. My grandmother knew she was safe, secure, and loved.” This 2-page Family Album Radio transcript was written by Suzanna Smith and published by the UF Department of Family, Youth and Community Sciences, August 2012.
Sun Protection for Your Children
Authors: Smith Suzanna
Published: July 2022

“My children were all born during the summer months, and as we gradually spent more and more time outside, I wondered how best to protect them from the hot summer sun.” This 2-page Family Album Radio transcript was written by Suzanna Smith and published by the UF Department of Family, Youth and Community Sciences, March 2012.
Playing It Safe with Play Equipment
Authors: Davis Donna
Published: July 2022

“Raising my rough-and-tumble children at times took superhuman energy, patience, and constant supervision. Even the joyful vision of a playground could be daunting when the swing was used as a human slingshot and the slide had 101 uses, of which only one was acceptable. I’m sure many parents can relate to the fear of the unknown dangers on the playground.” This 2-page Family Album Radio transcript was written by Donna Davis and published by the UF Department of Family, Youth and Community Sciences, July 2012.
Helping Your Child Adjust to Child Care: Child Care 3
Authors: Smith Suzanna
Published: July 2022

“Almost 13 million of the 18 million children younger than five years of age in the U.S. are in some form of regular childcare (Overturf Johnson, 2002). This means that millions of parents are finding ways to help their children adjust to being away from Mom or Dad and get used to a new routine and situation. Child development experts recommend a number of strategies, particularly in the early weeks of care.” This 2-page Family Album Radio transcript was written by Suzanna Smith and published by the UF Department of Family, Youth and Community Sciences, July 2012.
Preventing Foodborne Illness: Campylobacteriosis
Authors: Ahn Soohyoun , Goodrich-Schneider Renée M. , Schneider Keith R.
Published: July 2022

Over 800,000 cases per year of diarrheal disease in the United States were linked to Campylobacter, being ranked No. 4 in the pathogens causing foodborne illnesses. Campylobacter is also responsible for 15% of foodborne illness-related hospitalizations, and 6% of foodborne illness-related deaths. This revised 5-page fact sheet was written by Soohyoun Ahn, Renée M. Goodrich-Schneider, and Keith R. Schneider, and published by the UF Department of Food Science and Human Nutrition, July 2012.
FSHN032/FS098: Preventing Foodborne Illness: Campylobacteriosis (ufl.edu)
De compras para la salud: Yogurt
Authors: Meyer Stephanie B. , Medina-Solórzano Ada , Dahl Wendy J.
Published: July 2022

El yogur se ha convertido en un producto muy popular en la dieta de los Estadounidenses y se ha apoderado de la mayoría de la sección de los productos lácteos en muchas tiendas. ¿Alguna vez se ha preguntado qué es el yogur, cuáles son los beneficios para la salud o cuál es la diferencia entre los tipos de yogures? Continúe leyendo para encontrar las respuestas a estas preguntas y para aprender más sobre el yogur.
This 5-page fact sheet was written by Stephanie B. Meyer, Ada Medina-Solórzano, and Wendy J. Dahl, and published by the UF Department of Food Science and Human Nutrition, October 2012.
FSHN12-01s/FS198: De compras para la salud: Yogur (ufl.edu)
De compras para la salud: Frijoles, guisantes y lentejas
Authors: Mahan Lakshmi , Foster Lauren , Dahl Wendy J.
Published: July 2022

Las legumbres son unos de los alimentos más completos en la naturaleza que proveen una gran variedad de beneficios para la salud. Las legumbres tienen mucha proteína, fibra y vitaminas. También son bajas en grasa, no tienen colesterol y son muy bajas en grasa saturada. Los frijoles oscuros tienen alto contenido de antioxidantes.
This 4-page fact sheet was written by Lakshmi Mahan, Lauren Foster, and Wendy J. Dahl, and published by the UF Department of Food Science and Human Nutrition, October 2012.
FSHN11-05s/FS201: De compras para la salud: frijoles, guisantes y lentejas (ufl.edu)
Alimentación Saludable: Líquidos
Authors: Bobroff Linda B. , Oliver-Cordero Luisa , Minton Emily
Published: July 2022

Más de la mitad del peso del cuerpo humano adulto, es agua. El agua transporta nutrientes a las células en nuestros cuerpos y remueve los residuos. Nuestros cuerpos no podrían funcionar sin una fuente de agua adecuada.
This revised 2-page fact sheet was written by Linda B. Bobroff, Luisa Oliver-Cordero, and Emily Minton, and published by the UF Department of Family, Youth and Community Sciences, October 2012.
FCS8569-Sp/FY071: Alimentación Saludable: Líquidos (ufl.edu)
Are You Marrying Someone from a Different Culture or Religion?
Authors: Toelle Stephanie C. , Harris Victor W.
Published: July 2022

It was the author Paul Sweeney who penned, “A wedding anniversary is the celebration of love, trust, partnership, tolerance, and tenacity. The order varies for any given year.” Couples must make many adjustments as they learn to live with each other from year to year. When those adjustments include negotiating culture or religion, it adds another dimension to the process of trying to strengthen the relationship. This 7-page fact sheet was written by Stephanie C. Toelle and Victor W. Harris, and published by the UF Department of Family, Youth and Community Sciences, September 2012.
FCS2321/FY1337: Are You Marrying Someone from a Different Culture or Religion? (ufl.edu)
What Do You See? Healthy Dating That Leads to Healthy Marriage
Authors: Harris Victor W. , Hinton Ginny
Published: July 2022

Albert Einstein offered this perspective on dating and romantic relationships: “Any man who can drive safely while kissing a pretty girl is simply not giving the kiss the attention it deserves.” Dating relationships are the building blocks for healthy marriage relationships. To give them “the attention they deserve,” use different perspectives to help see why healthy dating can lead to healthy marriages or why unhealthy dating can lead to unhealthy marriages and divorce. This 4-page fact sheet was written by Victor W. Harris and Ginny Hinton, and published by the UF Department of Family, Youth and Community Sciences, September 2012.
FCS2322/FY1338: What Do You See? Healthy Dating That Leads to Healthy Marriage (ufl.edu)
Southern Pine Beetle Dendroctonus frontalis (Coleoptera: Curculionidae: Scolytinae)
Authors: Gomez Demian , Hulcr Jiri , Eickwort Jeffrey
Published: July 2022

The southern pine beetle (SPB), Dendroctonus frontalis Zimmermann, has been the most economically important forest insect in the pine timber industry in the southern United States. From 1960 through 1990, the bark beetle caused economic losses estimated at $900 million (Price et al. 1992). From 1998 to 2002, a four-year outbreak in the southern Appalachian Mountains affected more than 1 million acres with an economic loss of more than $1 billion (Clarke and Nowak 2009). In 2001,17,599 acres of pine forest were damaged by SPB in Florida alone, causing an estimated $38 million in damages.

While the spectacular outbreaks have captured attention, equally interesting are the long periods of the beetle absence between outbreaks, and the factors that maintain its low populations. Recent observations suggest that in natural conditions the beetle is a rare insect, and rarely responds with an outbreak unless silvicultural practices create a suitable environment: overstocked, even-aged, large pine stands. Despite many decades of research on the beetle ecology, we lack a complete understanding of its population dynamics, and its original (preindustrial) ecology remains elusive (Asaro et al. 2017). Fortunately, silvicultural practices leading to resistant stands are now commonplace, and principally include thinning (either mechanical or by fire) and rapid detection and removal of infestations (Nowak et al. 2015).
Alligatorweed flea beetle Agasicles hygrophila Selman and Vogt (Coleoptera: Chrysomelidae: Halticinae)
Authors: Center Ted D. , Cuda James P. , Grodowitz Michael J.
Published: July 2022

Alligatorweed is an aquatic weed native to South America that began threatening Florida’s waterways in the early 1900s. Alligatorweed flea beetles kill the plant by destroying its stored food and interfering with photosynthesis by removing leaf tissue. This insect has been an extremely effective biological control agent in coastal regions of the southeastern United States. This revised 3-page fact sheet was written by Ted D. Center, James P. Cuda, Michael J. Grodowitz, and published by the UF Department of Entomology and Nematology, October 2012.
EENY 462/IN831: Alligatorweed Flea Beetle Agasicles hygrophila Selman and Vogt (Coleoptera: Chrysomelidae: Halticinae) (ufl.edu)
Cultivos en asocio, diversidad de cultivos y manejo integrado de plagas
Authors: Smith Hugh , Liburd Oscar , MacVean Ana Lucrecia
Published: July 2022

El cultivo en asocio (o cultivo intercalado) es una práctica en donde se siembran diversos cultivos en un mismo campo. Adicionalmente plantas que no son cultivos, tales como las malezas, cultivos rastreros o de cobertura, así como plantas del hábitat, se pueden combinar en el espacio y tiempo para influir en el número de plagas o artrópodos benéficos en un cultivo principal.
This 7-page fact sheet was written by Hugh Smith and Oscar Liburd. Translated by Ana Lucrecia MacVean, and published by the UF Department of Entomology and Nematology, June 2012.
ENY-862-S/IN932: Cultivos en asocio, diversidad de cultivos y manejo integrado de plagas (ufl.edu)
Identificación en el campo de los síntomas de cancro de los cítricos y los procedimientos de descontaminación
Authors: Zekri Mongi , Dewdney Megan , Burrow Jamie , Roberts Pamela
Published: July 2022

El cancro cítrico es una seria enfermedad de los cítricos. La mayoría de los cultivos de cítricos son susceptibles, la toronja, la lima mejicana y algunas naranjas tempranas son las más susceptibles. Una infección severa puede causar defoliación, una muerte regresiva de la rama, una decadencia general del árbol, una caída prematura de la fruta, y manchas en la misma. Los árboles severamente infectados se vuelven débiles, improductivos y no rentables.
This revised 5-page fact sheet was written by Mongi Zekri, Megan Dewdney, Jamie Burrow, and Pamela Roberts, and published by the UF Department of Plant Pathology, August 2012.
PP-214-SP/PP138: Identificación en campo de síntomas de cancro de los cítricos y los procedimientos de descontaminación (ufl.edu)
Postharvest Quality and Decay Incidence among Tomato Fruit as Affected by Weather and Cultural Practices.
Authors: Bartz Jerry A. , Sargent Steven A. , Scott John W.
Published: July 2022

Postharvest decay losses for field-grown, fresh-market tomatoes are usually associated with harvests that occur when fields are wet and warm. During periods of persistently wet fields, decay pathogens infect damaged fruit on the plant as well as injuries to petioles and stems. Review of all reports and photos implicated excessive water in fruit rather than air temperatures as the primary predisposition. Excessive water in fruit is possible at virtually any time of the season and can appear at times of cold as well as warm field temperatures. This 8-page fact sheet was written by Jerry A. Bartz, Steven A. Sargent, and John W. Scott, and published by the UF Department of Plant Pathology, July 2012.
Enfermedades Exóticos De Los Citricos
Authors: Dewdney Megan M. , Burrow Jamie D. , Rogers Michael E. , Spann Timothy M.
Published: July 2022

Este documento es una hoja de dos páginas ilustrativas para la identificación de las enfermedades exóticas de los cítricos.
This 2-page fact sheet was written by M. M. Dewdney, J. D. Burrow, M.E. Rogers, and T. M. Spann, and published by the UF Department of Plant Pathology, August 2012.
PP296/PP296: Enfermedades Exóticas De Los Citricos (ufl.edu)
Manejo De Las Enfermedades Fúngicas Foliares—Para las plantaciones de cítricos comerciales
Authors: Dewdney Megan M. , Burrow Jamie D.
Published: July 2022

Este documento es una hoja de dos páginas ilustrativas para la identificación y manejo de las enfermedades fúngicas foliares de los cítricos a nivel comercial.
This 2-page fact sheet was written by Megan M. Dewdney and Jamie D. Burrow, and published by the UF Department of Plant Pathology, August 2012.
PP299/PP299: Manejo De Las Enfermedades Fúngicas Foliares—Para las plantaciones de cítricos comerciales (ufl.edu)
Effects of Climate Change on the Eutrophication of Lakes and Estuaries
Authors: Havens Karl
Published: July 2022

Recent research suggests that climate change will reinforce the negative consequences of man-made eutrophication and make it more difficult to improve water quality in lakes and estuaries. This 3-page fact sheet was written by Karl Havens, and published by the UF Department of Sea Grant, September 2012.
SGEF-189/SG127: Effects of Climate Change on the Eutrophication of Lakes and Estuaries (ufl.edu)
Solutions for Managing Tomato Culls in Florida Tomato Packinghouses
Authors: Toor Gurpal , Chahal Maninder , Santos Bielinski
Published: July 2022

Florida is the single largest producer of fresh-market tomatoes in the United States. Driven by urbanization and generation of large amounts of tomato culls, tomato packers in Florida often struggle to find ways to dispose of culls generated during the cleaning and sanitizing of tomatoes. This 5-page fact sheet provides guidelines for appropriate management practices to increase the use of culls produced in tomato packinghouses in Florida. Written by Gurpal Toor, Maninder Chahal, and Bielinski Santos, and published by the UF Department of Soil and Water Science, September 2012.
“Las Serpientes Negras”: Identificación y Ecología
Authors: Wight Bethany Rose , Steve A. Johnson  , Monica E. McGarrity  , Alejandra Areingdale  , Miguel Acevedo  , Juan Campos Krauer
Published: July 2022

En el sudeste de los Estados Unidos habitan alrededor de 50 especies de serpientes (seis de las cuales son venenosas) que viven en los estados costeros del Atlántico y el Golfo, desde Luisiana hasta Carolina del Norte. Estas serpientes utilizan una variedad de hábitats desde tierras altas hasta humedales, y tienen un gran impacto en la ecología de la región. Son depredadores, pero también presas y forman conexiones importantes en las redes tróficas.
Spring Viremia of Carp
Authors: Petty Barbara D. , Francis-Floyd Ruth , Yanong Roy P. E.
Published: July 2022

Spring viremia of carp is a viral disease that can cause significant mortality in several carp species including the common carp. It was reported in koi and feral carp in the United States for the first time in 2002. Diagnosis in farm raised fish in the U.S. may result in quarantine of the infected fish and depopulation. This revised 5-page fact sheet is intended to inform veterinarians, biologists, culturists, and hobbyists about Spring viremia of carp. Written by Barbara D. Petty, Ruth Francis-Floyd, and Roy P.E. Yanong, and published by the UF Department of Fisheries and Aquatic Sciences, August 2012.
VM-142/VM106: Spring Viremia of Carp (ufl.edu)
Cogongrass (Imperata cylindrica) Biology, Ecology, and Management in Florida Grazing Lands
Authors: Sellers Brent A. , Ferrell Jason A. , MacDonald Gregory E. , Langeland Kenneth A. , Flory Stephen Luke
Published: July 2022

Cogongrass is found on every continent and is considered a weedy pest in 73 countries. In the U.S., cogongrass is found primarily in the Southeast. It was accidentally introduced into Alabama in the early 1900s, and purposely introduced as a potential forage and soil stabilizer in Florida (and other states) in the 1930s and early 1940s. However, soon after investigations began it was realized that cogongrass could be a weedy pest. Since its introduction, cogongrass has spread to nearly every county in Florida. In some cases, it has completely taken over pastures so that it is the only species present. This is a common thread where cogongrass invades; it quickly displaces desirable species and requires intensive management. This revised 5-page fact sheet was written by B. A. Sellers, J. A. Ferrell, G. E. MacDonald, K. A. Langeland, and S. L. Flory, and published by the UF Department of Agronomy, August 2012.
SS-AGR-52/WG202: Cogongrass (Imperata cylindrica) Biology, Ecology, and Management in Florida Grazing Lands (ufl.edu)
Penerapan Algoritma Naive Bayes Untuk Mengetahui Kepuasan Mahasiswa Terhadap Layanan Administrasi Keuangan
Authors: Siliayani Lian , Iqbal Agis Junizar  , Uyu Nuraeni  , Edi Tohidi  , Irfan Ali
Published: July 2022

Kualitas pelayanan terhadap mahasiswa merupakan peranan penting untuk kelangsungan suatu institusi pendidikan. Mahasiswa merupakan peranan penting titik sentral dalam pengelolaan suatu pergutuan tinggi. Metode data mining yang digunakan untuk melakukan penelitian ini yaitu Naive bayes karena memiliki performa yang baik. Naive bayes merupakan teknik prediksi berbasis probabilistik yang sederhana berdasarkan pada penerapan teorema bayes. Indikator penilaian yang digunakan adalah tangible (bukti langsung), reability (keandalan), responsiveness (daya tangkap), assurance (jaminan) dan empathy (empati). Penerapan metode naive bayes ini diharapkan mampu memprediksi tingkat kepuasan mahasiswa terhadap pelayanan bagian akademis pada suatu perguruan tinggi.  Masalah yang terjadi yaitu untuk mengetahui seberapa besar tingkat kepuasan mahasiswa terhadap suatu pelayanan di STIKes Ahmad Dahlan Cirebon dan diiharapkan dapat meningkatkan akurasi penilaian pelayanan administrasi keuangan sehingga suatu perguruan tinggi mempunyai suatu standar dalam memberikan penilaian pelayanan administrai keuangan. Data yang digunakan pada penelitian ini adalah 328 mahasiswa dan yang menjawab kuesioner hanya 217 mahasiswa dari seluruh mahasiswa semester gasal STIKES Ahmad Dahlan Cirebon Tahun Akademik 2019/2020. Terdapat data training dengan jumlah 80% dan data testing dengan jumlah 20% dan diperoleh tingkat accuracy 97.73%, precission 100.00% dan recall 66.67%.
Pengelompokan Penjualan Madu Menggunakan Algoritma K-Means
Authors: Danya Rizki Chaerunisa  , Nining Rahaningsih  , Fadhil Muhammad Basysyar  , Ade Irma Purnamasari  , Nana Suarna
Published: July 2022

Kekayan alam Indonesia memang sudah tidak diragukan lagi, keberadaan hutan di Indonesia dengan luas lahan sekitar 195 juta hektar berpotensi untuk pembudidayaan madu. Madu merupakan salah satu produk hasil hutan bukan kayu. Di Indonesia sendiri dengan luasnya lahan, berpotensi menjadi pakan lebah madu. Selain dikonsumsi sebagai madu murni, madu juga dimanfaatkan sebagai pencampur makanan, kecantikan dan obat tradisional. Hal ini membuat peluang bisnis madu di Indonesia menjadi tinggi. Peluang ini dimanfaatkan oleh toko madu bernama Teras Palawi dibawah naungan Perum Perhutani Kota Cirebon. Dengan meningkatnya angka covid-19 di Indonesia menjadikan penjualan madu ini meningkat drastis, selain rasanya yang manis dengan berbagai macam rasa seperti kelengkeng, bunga liar dan randu berbagai khasiat yang ada pada madu menjadikan madu ini digemari oleh semua kalangan dari anak kecil hingga orang dewasa- serta dapat memberitahu perusahaan, jenis madu mana yang banyak diminati. Dalam hal ini dibutuhkan teknik pemanfaatan data menjadi informasi baru atau disebut juga data mining. Metode yang tepat untuk pengelompokan data penjualan madu adalah K-Means karena dalam metode ini dapat mengolah data tanpa diketahui labelnya. Tujuan penulisan tugas akhir ini adalah untuk mengetahui penerapan algoritma K-Means dan untuk mengetahui hasil K Optimum dalam penerapannya menggunakan aplikasi RapidMiner. Hasil uji coba menunjukan adanya enam kelompok sesuai dengan data penjualan madu, dengan K Optimumnya 6 dan hasil davies bouldin index sebesar -0.365 yang dinilai cukup baik karena mendekati angka nol.
Perbandingan Kinerja Algoritma Naïve Bayes Dan C.45 Dalam Klasifikasi Spam Email
Authors: Sulaeman  , Nana Suarna  , Abdul Ajiz  , Agus Bahtiar  , Fathurrohman
Published: July 2022

Antispam dengan algoritma tertentu yang dapat memisahkan antara spam-mail dengan non spam mail. Perbandingan kinerja antara algoritma naïve bayes, dan decision tree yang memakai algoritma C4.5 membuktikan bahwa decision tree dengan algoritma C4.5 lebih efisien dan paling sederhana jika dibandingkan dengan algoritma yang lain. Dengan kesederhanaannya, algoritma C4.5 memberikan hasil yang lebih baik untuk klasifikasi spam-mail. Algoritma Naïve Bayes dan C4.5 mempunyai kinerja yang baik dalam mengidentifikasi apakah suatu email adalah spam atau non-spam. Namun, belum diketahui algoritma mana diantara keduanya yang lebih unggul kinerjanya. Oleh karena itu kedua algoritma ini perlu dibandingkan Berdasarkan hasil akurasi algoritma Naïve Bayes menghasilkan akurasi sebesar 96,70% dengan rincian yaitu Prediksi Ham dan true Ham sebanyak 3385 Data, Prediksi Ham dan true Spam sebanyak 165 Data, Prediksi Spam dan true Ham sebanyak 0 Data, Prediksi Spam dan true Spam sebanyak 1448 Data. Berdasarkan hasil akurasi algoritma C.45 menghasilkan akurasi sebesar 96,68% dengan rincian yaitu Prediksi Ham dan true Ham sebanyak 3385 Data, Prediksi Ham dan true Spam sebanyak 166 Data, Prediksi Spam dan true Ham sebanyak 0 Data Prediksi Spam dan true Spam sebanyak 1447 Data. Berdasarkan hasil uji komparasi diperoleh hasil algoritma terbaik dengan mengukur tingkat hasil akurasi sehingga dapat diperoleh algoritma C.45 memiliki nilai sebesar 96.68% Kemudian pada penerapan model algoritma naïve bayes  menjelaskan bahwa tingkat hasil akurasi dapat diperoleh dari algoritma naïve bayes dengan nilai sebesar 96.79%. bisa di artikan bahwa algoritma naïve bayes data dikategorikan sebagai pedoman pengambilan keputusan
The Impact of Online Learning on the Students’ Digital Communication Ethics
Authors: Jaisy Ghozi , Wahyunengsih Wahyunengsih , Rizki Ahmad
Published: July 2022

Communication in learning is very important because this supports children's success in learning. The better the communication that is built, it is hoped that the results will also be better. The purpose of this study was to analyze the impact of online learning on children's digital communication ethics. The object of this research is the students of SDN 07 Pagi from grades 1-3. The number of participants involved was 95 participants, the data used was by observing each class through Zoom Meeting media, from grades 1-3 for each child. In this study, we used a qualitative descriptive method with observation. The researcher acts as an observer and participates in teaching and learning activities for SDN 07 Pagi students through Zoom Meeting media. Students' responses to what the teacher said and how a student communicated in the class related to ethics became the focus. There are several classes observed. The purpose of observing from several different classes is because this online system has been carried out since 2019. The results of this study show the impact of students' digital communication ethics in class on teachers, parents, and students by looking at the differences between groups that have been online for 6 months, 1 year, and 2 years.
Arithmetic and Wavelet Based Information Security Using Image
Authors: Shiv Prasad  , Prasenjit Maji
Published: July 2022

The enhancement of information technology extensively changes the communication system in society. The information is rapidly shared through the internet or other electronic message delivery system without proper security measures. The IPR (Intellectual Property Right) of digital content or digital multimedia has to face the main challenge with the fear of distortion of the contents. Steganography and Cryptography are two widely used techniques for online digital contains authentication. Here we are using both of them together to make it more powerful with the help of simple Arithmetic and Binary operations and embed the same in the frequency domain using the wavelet function. Mainly target to provide a secure text information transmission with cryptex and stegano approach with high payload. The standard metric Peak Signal to Noise Ratio (PSNR) and MSE or Mean Squared Error measures the robustness of the proposed method.
Cloud Computing - An insight to latest trends and Developments
Authors: Rajesh Keshavrao Sadavarte  , Dr. G. D. Kurundkar  , Dr Smita Ashok Bhopi
Published: July 2022

Computing technology is rapidly improving and becoming more advanced over time. In order to stay up with the rapid transformation, industry executives pay close attention to the disruptive technologies positioned to deliver value in the cloud. In today's hyperconnected world, staying on top of trends is essential for survival and staying ahead of competitors. Because Cloud Computing has evolved into a large-scale computing system with seamless access to virtually unlimited resources, and various people from various sectors are using Cloud Computing for various reasons, it is now necessary to discuss technology trends and developments in general for Cloud Computing.This paper focuses on the basics of the aspects of understanding of Cloud Computing, as well as the present status, and trends of Cloud Computing. The study also explores the evolving cloud innovation of emerging paradigms likeBlockchain, IoT, AI/AR, Edge, and Green cloud computing, containers, etc. in near future cloud computing systems.
Parametric Analysis of Chronic Heart Disease (CHD) Using Machine Learning
Authors: Ved Prakash Singh  , Krishna Kumar Joshi  , Ravi Ray Chaoudhari
Published: July 2022

When it comes to mobility issues and heart disease, a machine learning computer can make critical predictions. The remainder of the body is the largest and most concentrated organ in the human body when compared to the heart. Predicting cardiac disease via data analysis is a critical medical endeavor. The medical business throughout the world recycles machine learning. When it comes to machine learning, whether a person has mobility abnormalities or heart ailments is a critical consideration. In medical facilities, data analysis aids in the prediction of more information and the prevention of certain diseases. The study paper's major objective is to forecast a patient's heart condition using a machine learning method such as a random forest, which is the most reliable. Every month, a huge amount of patient data is archived. The information that has been collected can be utilized to make predictions about what illnesses will arise in the future. Certain data mining and machine learning technologies are utilized to anticipate cardiac illness, such as artificial neural networks (ANN), decision trees, fuzzy logic, K-Nearest neighbors (KNN), naïve bays and vector support equipment, for example (SVM). The final goal of this research is to examine the best python learning-based logistic regression model. It is a machine learning model. The heart disease data sets were utilized by the UCI machine learning depot.
Privacy Preserving Parallel Distributed Data Stream Anonymization
Authors: Brinit Trivedi  , Sheshang Degadwala  , Dhairya Vyas
Published: July 2022

Sustainable stream processing algorithms have gained popularity in recent years. Flow control is a way of searching and modifying real-time data streams. Missing values are ubiquitous in real-world data streams, making data stream privacy challenging to safeguard. On the other hand, most privacy preservation methods need not take absent values into account when developed. They can anonymize data in certain study, however this results in data loss. This research proposes a unique parallel distributed approach for protecting privacy while using incomplete data streams. This method uses a production computational system to continually anonymize data streams, using clustering to construct each tuple. It clusters data in partial and complete forms using variable and array dimensions as similarity metrics. In order to prevent values and outliers’ pollution, a generalization approach that is based on more than matches is used. The experiments used real data to compare current systems with varied settings. This research will cover several anonymization mechanisms and their advantages. There are also drawbacks. Finally, we will explore the future of continuous data anonymization research.
Concare – A Teleconsultation System Using IoT in Healthcare
Authors: Akshaya B  , Soma Prathibha  , Priyavarshini Devi S
Published: July 2022

With the rapid growth of the aging world population, proper health care has become a prior issue in all countries; especially during the life altering COVID – 19 pandemics. While everything is getting digitized, the ease in providing medicinal services in an online basis is still a factor in today’s era. Current medical system is expanding by leaps and bounds in the last couple of decades for their considerable aim towards wireless and e-health monitoring systems providing remote monitoring of patients. But the tools used to deal with health conditions are tedious to maintain and limited to specific number of parameters. Incorporating patient’s data into a database and accessing the system in the form of a mobile application with proper medical assurance and diagnosis will demonstrate that this proposed system will be efficient to provide the patient a proper consultation from anywhere. It reduces the number of hospitals visits, saves time, and is convenient for both physician and patient.
Text Summarization using Extractive and Abstractive Techniques
Authors: Chintan A. Shah  , Prof. Neelam Phadnis
Published: July 2022

There have been considerable advancements in Text Summarization over the last few years. There are two ways to text summarization: one is based on natural language processing (NLP), and the other is based on deep learning. In the realm of NLP, text summarization is the most intriguing and challenging task. NLP stands for Natural Language Processing, which studies and manipulates human language by computers. Because of the massive increase in information and data, it has become critical. Text summarization is creating a thorough and meaningful summary of text from various sources such as books, news stories, research papers, and tweets, among others. Large text documents that are difficult to summarize manually are the research subject. The job of condensing a piece of text into a shorter version, minimizing the size of the original text while maintaining key informative components and content meaning, is known as summarising. Because human text summarising is a time-consuming and intrinsically tiresome process, automating it is gaining popularity and hence acts as a potent stimulus for academic study.
Distributed Ledger Technology for Fee Payment System by Using Blockchain with Cryptographic Keys and Peer to Peer N/W
Authors: Vijay Kumar Prasad  , P. Keerthi  , T. Jeevan Sekhar  , R. Kalyan  , T. Ravi Kumar
Published: July 2022

The undertaking means to work with quick and secure installment handling of school expenses utilizing block chain innovation. These days understudies were approached to pay school expenses in various techniques, for example, cash, charge card, check and request draft. These sorts of exchanges need a middle to move sum from the trader to recipient. The middle is the bank for this situation. Conventional installment frameworks include focal specialists like the national bank, business banks and government. These strong mediums can handle every one of your activities and have full control of all data through their own frameworks. Much of the time the exchanges might try and come up short. Between making buys, covering bills, enacting cards, etc, 80% of banking communications spin around installments. The typical client interfaces with their bank no less than two times every day for installment related matters, making it the main financial movement that includes different cooperations daily. These issues have driven us take up this task. In this theory, we propose a decentralized school expense exchange techniques utilizing block chain innovation.
A block chain is generally a public dispersed record of the record of all exchanges that has been achieved and divided between contributing gatherings and it requires no moderate to move the cash. Every exchange in the public record is confirmable by the member in the framework. Every exchange in block chain contains a list, timestamp and information. Blockchain installment frameworks give more noteworthy security and straightforwardness to the clients and organizations across the world. This is on the grounds that all exchanges should be visible openly and can't be adjusted whenever they are coded into the framework. Blockchain ordinarily is secure once it's in the framework. In this way, there aren't any additional securities that are fundamental for the framework so it's a lot less expensive than the conventional installment framework. In a blockchain installment framework, there aren't any supervisors or workers. There's just a local area of individuals who all together and go by rules on the stage. Hence, costs are decreased and there are lower commission charges.
Survey On Feature Extraction Approach for Human Action Recognition in Still Images and Videos
Authors: Pavan M  , Deepika D  , Divyashree R  , Kavana K  , Pooja V Biligi
Published: July 2022

Human Action Recognition (HAR) has been a challenging problem yet it needs to be solved. Recently the detection and recognition of human action has broad range of applications and is popularized in the field of computer vision. It mainly focuses on to understand human behaviour and name a label to each action. There are many approaches for action recognizing from both image and video based actions. Now it is time to review these existing approaches in order to help for future research. The main aim of this work is to study the various action recognition techniques in videos and images. The paper presents a brief overview of features of human actions by categorizing as still image-based and video-based. All related datasets are also introduced in this paper, which will be helpful for future research.
Machinet - System for Assisting Building of Machine Learning Model
Authors: Anika Bisht  , Abhijeet Srivastav  , Bandana Vishwakarma
Published: July 2022

As the technology of Machine Learning and Artificial Intelligence are growing rapidly, problems associated with them are growing too. Although all research focuses on the AutoML which is basically a process automation technique for machine learning research. We are proposing a system named Machinet which assists machine learning practitioners(students, engineers, professors, etc) to find a suitable model in a bunch of available models, for their use case which gives them higher accuracy.
Machinet is a software that facilitates the machine learning practitioners to test the accuracy of different machine learning models ( models selected based on their use case) on their dataset and build a selected model (based on test results) by tweaking different parameters according to their need to increase the accuracy or usability.
A Survey on Fraudulent Transaction Detection using Random Forest
Authors: Prof. Girija. V  , Gowthami. V  , Nayana. H  , Divya. V  , J. Prathibha
Published: July 2022

In the evolution of the electronic money system, frequent transaction fraud has been a shadow behind the prosperity. It not only endangers the property security of users, but also hinders the development of digital finance in the world. With the development of data mining and machine learning, some mature technologies are gradually applied to the detection of transaction fraud. This paper proposes a transaction fraud detection model based on random forest. The experimental results of IEEE CIS fraud dataset show that the method of this model is better than the benchmark model, such as logistic regression, support vector machine. Finally, the accuracy of our model reached 97.4%, and the AUC ROC score was 92.7%.
The random forest classifier is composed of a group of decision trees. Each tree is generated by independent sampling random vectors, and each tree votes to find the most popular category to classify the input. Random forest has both sample randomness and characteristic randomness, and its generalization performance is superior. At the same time, random forest has good processing ability for high-dimensional data sets, which is very suitable for IEEE CIS data sets. It can process a large number of inputs and determine the most important characteristics. Therefore, further feature mining is carried out on the data extracted by RFECV.
Medicine Recommend System Using Machine Learning
Authors: Prajakta Khairnar  , Vamsi Avula  , Aditya Hargane  , Pratik Baisware
Published: July 2022

Most people tend to live a long and healthy life, but people are busy in their day-to-day life and it is not possible for everyone to visit doctors for minor symptoms of a disease. Many people do not know about medicines and to visit a doctor and consult for minor symptoms for medicines is a time-consuming process. AI and machine learning like emerging technology can help us to create a recommended system that will prescribe medicine and this system can accurately predict a medicine to use. In this paper proposes the medicine recommendation system which will predict disease and medicine according to symptoms entered by patients/users.
A Design for the Bandwidth Improvement for the Microstrip Patch Antenna for Wireless Network Sensor
Authors: Dr. Mawahib Sharafeldin Adam Boush  , Dr. Chamandeep Kaur
Published: July 2022

The microstrip patch antenna is extensively used in the wireless network because the Microstrip patch Antenna can be easily manufactured. Bandwidth Improvement of the Microstrip patch antenna is shown in this paper. The Antenna is made at the 8.5GHz frequency. The material used for the substrate is FR4-epoxy. For this material, the dielectric loss tangent is 0.0018. This antenna observes the Bandwidth to 660MHz, gain 5.4028, Directivity 5.5068, return loss -37.0048, and VSWR 1.0629. In this design there is an Improvement of bandwidth to 660 MHz which is suitable for wireless network applications and the software which is being used for the simulation is the High-Frequency Structure Simulator which is also known as HFSS.
Fake Accounts and Clone Profiles Identification on Social Media Using Machine Learning Algorithms
Authors: Ajith  M  , M. Nirmala
Published: July 2022

Fake and Clone profiles are creating dangerous security problems to social network users. Cloning of user profiles is one serious threat, where already existing user’s details are stolen to create duplicate profiles and then it is misused for damaging the identity of original profile owner. They can even launch threats like phishing, stalking, spamming etc. Fake profile is the creation of profile in the name of a person or a company which does not really exist in social media, to carry out malicious activities. In this paper, a detection method has been proposed which can detect Fake and Clone profiles in Twitter. Fake profiles are detected based on number of abuse reports, number of comments per day and number of rejected friend requests, a person who are using fake account. For Profile Cloning detection two Machine Learning algorithms are used. One using Random forest Classification algorithm for classifying the data and Support Vector Machine algorithm. This project has worked with other ML algorithms, those training and testing results are included in this paper.
Raspberry Pi based Smart Classroom Architecture with Local Network
Authors: Mayank Bhaskar  , Prof. Prajakta Khairnar
Published: July 2022

Classrooms are important building blocks of a school campus. Therefore, a feasible architecture for building and running smart classrooms is essential. Today all online education system is based on the browser/server structure or client/server structure and for this system required the computer to every student. As the number of student increases cost of education also increases. In small schools and institutes could not able to afford a computer to every student. Instead, we aim to design an embedded device with only one master computer and number of slave units. Raspberry Pi has the capability of being configured as an access point and as a web server, so it can be used for creating applications reachable from mobile devices without needing an Internet connection. The proposal is based on the possibility for students to Answer questionnaires from their mobile devices. The teacher can observe answers in real time. This solution adds dynamism integrating the existing mobile devices in the classroom. It eliminates the use of computers or laptops to each student which reduces size and cost of the project. Programming language used in this project would be HTML alongwith Python, Operating System will be Raspbian and Questionnaire Software will be Node-Red. This paper explains the proposal features in terms of used hardware and software, as well as the functional tests performed and their implementation allowing replication.
Structural Evaluation by FWD In Flexible Pavement
Authors: Sumedh Jadhav  , Dr. P. L. Naktode
Published: July 2022

Pavement performance evaluation an prediction are of great importance to facilitate pavement management system. Pavement evaluations are conducted to determine functional and structural conditions of a pavement section either for purposes of routine monitoring or planned corrective action. The Falling Weight Deflectometer is a device that is used to evaluate pavement and pavement layer stiffness. It is a trailer-mounted device that operates by dropping a weight on to the pavement and measuring the resulting pavement deflections. Various computations may be performed on the deflection data to evaluate the pavement and the stiffness of it and its constituent layers. During testing, a FWD subjects the pavement surface to a load pulse which simulates the load produced by a rolling vehicle wheel. The load pulse is produced by dropping a large weight onto a "buffer" which shapes the pulse, and then transmitted to the pavement through a circular load plate. Data are acquired from various sensors for use in post-test analysis of pavement properties. Data collected from FWD can be used for determination of structural capacity of in-service pavements for analytical analysis of pavement performance, predicting layer moduli for pavement component layers, remaining life of pavements and in deciding strengthening and rehabilitation measures to be adopted for meeting the requirements. Analyses of data are being carried out using standard software as supplied by the manufacturer. Information such as load, layer types and thicknesses, range of moduli and Poisson’s ratio etc. for different layer materials would also be needed for FWD deflection data analysis.
While carrying out analyses of data, it assumes material to be homogeneous, isotropic, linear elastic, weightless and semi-infinite. This report contains evaluation on flexible pavement by FWD and according to resulting data, design of overlay will be done accordingly.
The Impact of embracing Information and communication Technology in the Agriculture Sector
Authors: Margaret Afwande
Published: July 2022

Developing countries in Africa have been battling with the challenge of providing quality healthcare by arresting the food insecurity predicament through advocating for adoption of better Agricultural practices that can boost the yields, though the main impediment is lack or limited access to information on many aspects of agricultural research and development to the important stakeholders. This paper examines the various ICT platforms and technologies used in the Agricultural sector, statistics of their usage index and eventually ascertain whether they have any impacts on Agriculture and are also handy in addressing the looming food insecurity in Africa.
Survey Paper on Diabetes Risk Prediction using Machine Learning Algorithm
Authors: Shalinee Bhondekar  , Dr. Shalini Sahay
Published: July 2022

Diabetes Mellitus (DM) is a chronic, lifelong metabolism disorder. It affects the ability of the body system to use the energy found in food. The improper management of the disease will lead to Heart disease, kidney disease, eye disease, nerve disease and pregnancy complications. Classification model helps physicians to improve their prognosis, diagnosis or treatment planning procedures. Big Data Analytics plays an significant role in healthcare industries. Healthcare industries have large volume databases. Using big data analytics one can study huge datasets and find hidden information, hidden patterns to discover knowledge from the data and predict outcomes accordingly. In existing method, the classification and prediction accuracy is not so high. In this paper, we have proposed a diabetes prediction model for better classification of diabetes which includes few external factors responsible for diabetes along with regular factors like Glucose, BMI, Age, Insulin, etc. Classification accuracy is boosted with new dataset compared to existing dataset. Further with imposed a pipeline model for diabetes prediction intended towards improving the accuracy of classification.
BRAS : Development of Prototype Cloud Model for Failure Recovery Management by Using Backup Resource Allocation Strategy
Authors: Dr. G.Vinoda Reddy  , Bodla Kishor  , G.Parvathi Devi  , Kovuri Praveen Kumar  , Annapurna Gummadi
Published: July 2022

The main objective of any technology is to give good service, availability and reliability to the end user along with protection and cost feasibility. Cloud computing is one of such technology which can be pay-as-you-go model. Computational resources and backup resources are the one of the issues. When multiple Physical Machines (PM) interacting to cloud to have respective services there may be a chances of failures that spoils the guaranteed services by the providers. In this paper we tried to elaborate these issues by developing a prototype cloud model for failure recovery management with the information of backup resource allocation strategy. We proposed an advanced open stack method based on BRAS. We also conducted a survey on BRAS to give better model. In this paper we focussed more on availability analytical model how its work for BRAS. We also covered some of case studies with yielding results for better understanding of the model. However one of the essential pitfalls in cloud computing is related to optimizing the property being allocated. Because of the distinctiveness of the model, useful resource allocation is achieved with the aim of minimizing the prices associated with it. The specific traumatic conditions of useful resource allocation are meeting customer desires and application requirements.
Phishing Website Detection
Authors: Mr. Tahir Naquash H B  , Sarang Rijul Prakash  , Mohammed Arshad Usman  , Mohammed Fahad  , Mansoor Khan
Published: July 2022

It is a crime to practice phishing by employing technical tricks and social engineering to exploit the innocence of unaware users. This methodology usually covers up a trustworthy entity so as to influence a consumer to execute an action if asked by the imitated entity. Most of the times, phishing attacks are being noticed by the practiced users but security is a main motive for the basic users as they are not aware of such circumstances. However, some methodologies are limited to look after the phishing attacks only and the delay in detection is mandatory. In this paper we emphasize the various techniques used for the detection of phishing attacks. We have also discovered various techniques for detection and prevention of phishing. Apart from that, we have introduced a new model for detection and prevention of phishing attacks.