bluuebunny/crossref_metadata_2025 huggingface dataset:
STUDI EPIDEMIOLOGI DESKRIPTIF PENYAKIT DIARE DI PUSKESMAS SUNYARAGI KOTA CIREBON
Authors: Hapsari Cinthya Apri , Heriana Cecep
Published: April 2020

Diare merupakan penyebab utama morbiditas dan mortalitas pada anak-anak kurang dari 5 tahun dan menjadi penyakit endemis yang berpotensi menjadi Kejadian Luar Biasa (KLB) di Indonesia. Angka kesakitan akibat diare di Indonesia pada tahun 2019 pada semua umur sebesar 270 per 1.000 penduduk dan pada balita sebesar 843 per 1000 penduduk, sedangkan di Kota Cirebon kejadian Diare pada tahun 2018 sebanyak 789 kasus termasuk di Kecamatan Sunyaragi. Belum diketahui dilakukan analisis Epidemiologi Deskriptif penyakit Diare di Kota Puskesmas Sunyaragi Kota Cirebon.

Penelitian ini termasuk kedalam penelitian deskriptif dengan pendekatan epidemiologi deskriptif dengan variabel distribusi berdasarkan waktu, tempat dan orang.  Jenis data sekunder yang diambil dari laporan Puskesmas Sunyaragi periode Januari sampai dengan Oktober 2019. Analisis data deskriptif berdasarkan waktu menggunakan grafik time series, tempat menggunakan peta dan distribusi orang (umur, jenis kelamin) menggunakan grafik Histogram. Hasil : Hasil penelitian menunjukkan bahwa berdasarkan waktu paling tinggi terjadi pada bulan januari (42 kasus) dan paling rendah terjadi pada bulan September, berdasarkan tempat yaitu yang paling tinggi terjadi di RW 02 (65 kasus) dan paling rendah terjadi di RW 11 (2 kasus), berdasarkan karakteristik umur yaitu sebagian besar terjadi pada kelompok umur 15-44 tahun (92 kasus) dan terendah pada kelompok umur 0-12 bulan (10 kasus), berdasarkan jenis kelamin sebagian besar terjadi pada perempuan (51%). Simpulan : kejadian diare cenderung menurun dari Januari ke Oktober, tersebar di semua wilayah kerja Puskesmas Sunyaragi, sebagian besar pada usia dewasa dan perempuan. Saran bagi Puskesmas Sunyaragi perlu kewaspadaan akan terjadi KLB Diare pada akhir tahun dan awal tahun.
HUBUNGAN GAYA KEPEMIMPINAN KEPALA RUANGAN DENGAN MOTIVASI KERJA PERAWAT DI RUANG RAWAT INAP RUMAH SAKIT KUNINGAN MEDICAL CENTER
Authors: Karlina Nina , Puspanegara Aditiya , Nugraha Moch Didik
Published: April 2020

Kepemimpinan merupakan cara seorang pemimpin dalam mempengaruhi perilaku bawahannya agar mau bekerja sama dan bekerja secara produktif  dei tercapainya tujuan dari organisasi. Gaya kepemimpinan suatu seni dan proses untuk mempengaruhi dan mengarahkan orang lan agar mereka memiliki motivasi untuk mencpai tujuan yang hendak di capai dalam situasi tertentu. Tujuan penelitian ini mengetahui hubungan gaya kepemimpinan kepala ruangan dengan motivasi kerja perawat di ruang rawat inap rumah sakit kuningan medical center.

Rancangan penelitian ini adalah cross-sectional menggunakan pendekatan deskriptif analitik. Populasi penelitian ini adalah perawat pelaksana di Rumah Sakit Medical Center sebanyak 57 orang dengan teknik pengambilan sampel purposive sampling. Analisis data meliputi analisis univariat dan bivariat dengan koefisien korelasi rank spearman.

Analisis univariat menunjukan bahwa sebagian besar perawat berpendapat tiga tipe gaya kepemimpinan kepala ruangan model demokratis sebanyak 51 responden (89,5%) dan memiliki motivasi sedang sebanyak 20 responden (39,2%). Analisis bivariat dengan nilai kolerasi rank spearman sebesar ρ = 0,284, yang berarti tidak ada hubungan antara gaya kepemimpinan kepala ruangan dengan motivasi kerja.

Hasil penelitian disimpulkan bahwa gaya kepemimpinan demokratis, motivasi kerja tinggi, manajemen rumah sakit baik. Dengan penelitian ini disarankan kepala ruangan memenuhi faktor-faktor pendukung motivasi kerja perawat untuk mempertahankan ataupun meningkatkan motivasi kerja perawat serta kepala ruangan mampu meningkatkan gaya kepemimpinan demokratis yang sesuai dengan prosedur pelayanan sehingga mampu mendorong perawat melakukan suatu kegiatan atau pekerjaan dengan baik.
Veracidad y disimulación
Authors: Tatián Diego
Published: April 2020

El artículo se interroga por la eficacia de la mentira y por un conjunto de actos de habla aledaños a ella, como el perjurio, la difamación, la calumnia, la simulación, la adulación, la demagogia, el engaño, el negacionismo, que en la actualidad han multiplicado su potencia debido al descomunal alcance de las ficciones posverdaderas con las que medios de comunicación y redes sociales construyen el mundo –o lo sustituyen, y cómo resistirlos. El hilo teórico escogido para responder arranca con la consideración por parte de Koyré –y Arendt- de la moderna mentira totalitaria, para luego buscar algunos motivos clásicos en la filosofía revisando qué se enuncia mediante ‘veracidad’ y ‘disimulación’, para lo cual se considera la polémica Kant-Constant. Por último se repasa el motivo de la disimulación como modo de resistencia y autoprotección ante los poderosos a través de algunos textos del siglo XVII enmarcados en la escuela de la prudencia recuperando, al final, una resistencia como ‘invención’, una disimulación como ‘arte de la oscuridad’ tal y como fue practicada por nuestras mujeres detenidas en la clandestinidad.
pengembangan pembelajaran sejarah melalui model pembelajaran living history untuk membentuk nasionalisme peserta didik
Authors: SULAIMAN SAHIT
Published: April 2020

Sikap nasionalisme sangat erat kaitannya dengan sejarah maka dari itu pembelajaran sejarah harus dapat memberikan kontribusi dalam pembentukan sika nasionalisme maka dalam pembelajaran menggunakan model living history.Model Model Pembelajaran Living History merupakan model pembelajaran sejarah yang bersumber pada lingkungan kehidupan sekitar siswa. Model Pembelajaran Living History membimbing peserta didik dalam melakukan penelusuran peristiwa sejarah yang terdapat di lingkungan sekitarnya, tempat peserta didik menjalani kehidupan kesehariannya.
Lazer e Juventude Encarcerada
Authors: Brito Cristiane Miryan Drumond de , Silva Walesson Gomes da , Marques Walter Ernesto Ude
Published: April 2020

Este estudo representa investigação interdisciplinar sobre os significados e sentidos atribuídos às experiências de lazer de presos em um presídio configurado conforme o modelo da Associação de Proteção aos Condenados - APAC, na região metropolitana de Belo Horizonte - MG, que se diferencia do sistema comum por ter um método próprio de trabalho, denominado “Método Apaqueano”. Nele, os apenados cumprem, no dia-a-dia, rotina preestabelecida pela gestão da unidade prisional de forma compartilhada, aproximando-se de um modelo de autogestão. Ainda assim, essa instituição exerce certo controle sobre as ações diárias dos condenados que, de certa forma, compromete suas atividades de lazer. Frente a isso, por meio de estudo etnográfico, buscamos compreender os sentidos e significados atribuídos ao lazer pelos jovens aprisionados na APAC, suas formas de apropriação dos espaços dessa instituição nas suas práticas de lazer e os processos de sociabilidade aí instaurados. Nesse sentido, realizamos revisão bibliográfica em 3 (três) áreas distintas: 1) o campo de estudos do lazer; 2) as políticas públicas que têm como foco o sistema prisional; e 3) relação entre juventude aprisionada e lazer. Dialogamos com produções acadêmicas na perspectiva da teoria histórico-cultural, visando compreender como esses sujeitos geravam sentidos a partir das práticas de lazer vivenciadas na prisão. Para isso, recorremos à metodologia qualitativa, com apoio nas técnicas de observação participante e entrevista semiestruturada. Os resultados obtidos evidenciaram que as práticas de lazer ocorreram em tempos e espaços reduzidos e que seus potenciais educativos e formativos não são explorados.
Gestão e Democracia
Authors: Forell Leandro , Stigger Marco Paulo
Published: April 2020

O presente artigo procura discutir a constituição da noção de participação da sociedade na gestão de políticas de esporte e de lazer no Parque Ararigbóia em Porto Alegre. O trabalho foi construído a partir de uma etnografia na qual foi realizado um trabalho de campo de aproximadamente dois anos quando se produziram diários de campo e entrevistas semi-estruturadas como forma de produção de informações. Apresenta no primeiro momento uma contextualização histórica das políticas na cidade como um todo. Posteriormente é discutida a apropriação do processo de gestão pela comunidade, em que foram evidenciadas relações com diferentes teorias democráticas. Conclui que existe a caracterização de um hibridismoem que há a alternância de diferentes noções de democracia dependendo da situação.
Educação Física e Religião
Authors: Rigoni Ana Carolina Capellini , Daolio Jocimar
Published: April 2020

O aumento do segmento evangélico, nas últimas décadas, significa um aumento de alunos evangélicos nas escolas e, consequentemente, nas aulas de Educação Física. A igreja busca propositadamente restringir os comportamentos de seus fiéis, e neste processo de restrição a EF e suas práticas têm sido alvos constantes de atenção por parte de seus membros. Quando o assunto é o lazer e o tempo livre no meio evangélico, nos deparamos com algumas tensões. A noção de “prazer” e as concepções de “decência” e indecência” atribuídas ao movimento humano, por parte dos grupos religiosos, entram em tensão direta com os conteúdos da EF escolar e com a concepção de “educação para o lazer”. Buscamos, portanto, analisar como o lazer é visto pelos grupos evangélicos estudados e como a EF escolar pode ocupar um papel privilegiado no sentido de produzir questionamentos capazes de promover a reflexão crítica e a “educação para o lazer”.
Trabalho, Lazer e Religião
Authors: Roscoche Luiz Fernando
Published: April 2020

O presente artigo tem por objetivo buscar uma aproximação entre a trabalho e o lazer e religião, as interações oriundas dessa relação. Para tanto foi realizado uma revisão bibliográfica das concepções de trabalho, lazer e religião na história. Optou-se por dar maior enfoque nas religiões cristãs presentes na sociedade brasileira, em especial o catolicismo e evangélicos. Constatou-se na pesquisa a tendência recente de flexibilização das bases religiosas de modo a atrair a manter o número de fiéis, seja na estratégia de promover cultos mais atrativos, promover atividades de socialização em espaços da própria instituições religiosas. Verifica-se que o lazer pode ser considerado como atividades de resistência ou alteração de costumes sofrendo mudanças no conteúdo de suas práticas. As complexas relações que se estabelecem entre religião, lazer e sociedade podem ou não se materializar no espaço geográfico.
AKSIOLOGI NILAI PENDEKATAN DAN STRATEGI PENANAMAN NILAI
Authors: Zuhri Zuhri
Published: April 2020

The writing of this paper, aimed at knowing the meaning of the axiology of value, and the educational approach, as well as any strategy used in the planting of values in Islamic education institutions, the results became a refencing for us as development In supporting tasks according to their respective professions.  Efforts towards good character is not easy, education that is pursued in school and in the household and education experience gained in society is still very far from expectations, until now various issues Nations Ignorance, poverty and retardation, allegedly as a result of the lack of successful education. For that it takes earnest effort and involves the various parties in order to be healed from multidimensional diseases. Education is the process of humanization, which is the effort to cultivate the potential, as an accepted from God, if not developed, the whole potential to be stagnant, and sluggish development, through the various Pemibingan , direction, to be made, to grow and develop positive potential beneficial for himself and his fellow, while the behavior of the potential negative (Akhlak Madzmumah) as much as possible not to pack, so that people do not have animal behavior. For that Islamic blowing is a media place to galvanize the spiritual spirit of the human being Kamil, based on the Qur'an and the Assunah in ren get happiness in the world and in Akherat.  Creating human value is a heavy duty from the beginning to the elderly, carried out continuously, sustainably, and istiqomah, with various approaches and strategies used and involve Steakholher that exist, so that the science is easily digested and accepted by reason, and heart, internalize in the students, so that the speech of the beam of divine value. This paper is qualitative, that is to understand, analyze various sources of reading relevant to the theme then made generalization.
Electricity Generation from Dairy Farm Wastes In a Dual-Chamber Microbial Fuel Cell Using Aluminium Electrodes
Authors:   School of Chemical Engineering, MIT Academy of Engineering, Alandi (D), Pune, India., Gadhave Pruthviraj , Sasane Rajesh ,   School of Chemical Engineering, MIT Academy of Engineering, Alandi (D), Pune, India., Wagh Gopal ,   School of Chemical Engineering, MIT Academy of Engineering, Alandi (D), Pune, India., Bhatt Nisargendu ,   School of Chemical Engineering, MIT Academy of Engineering, Alandi (D), Pune, India., Sutar Parag ,   School of Chemical Engineering, MIT Academy of Engineering, Alandi (D), Pune, India.
Published: April 2020

Microbial fuel cells play a key role in generating wealth out of waste as they serve the binary purpose of electricity production along with waste treatment. A variety of organic substances can be used as substrates in microbial fuel cells. In this work, three substrates naturally obtained as dairy farm waste, viz. cattle manure, yogurt waste, and cow urine along with their various combinations were tested for power generation in a microbial fuel cell. All three substrates are a promising source of electrogenic bacteria. The potential use of aluminium as electrode material for electricity generation in microbial fuel cell was also investigated. The output circuit voltage was recorded at regular time intervals over a period of around 15-25 days. Maximum output voltage of 1.170 V was recorded for cattle manure as substrate on graphite electrode with a stabilization period of 16 days. The combination of cattle manure and yogurt waste on aluminium electrode gave peak output voltage of 1.122 V with a stabilization period of 10 days. The addition of cow urine did not show any significant increase in the output.
A Recapitulation of Different Text Classification Algorithms
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, KTR Campus, Chennai, Tamilnadu, India., B Riya
Published: April 2020

Text classification process has gained a lot of importance in recent years and is still one of the most popular topics of discussion because of the presence of a huge outsized range of electronic documents from diverse resources. The text categorization process assigns predefined classes to documents. It finds noteworthy similarities in large textual data were interesting, hidden, previously unknown and extremely useful patterns and information can be discovered. Text classification helps in analysis of large textual data. Text mining intends facilitating customers extract informations from resources, and deals with operations such as retrieving, classifying ,cluster formation, mining of data, processing of natural language and techniques of machine learning together to classificate unalike patterns. Inside the process of content arrangement, terms gauging strategies configuration fitting loads to the offered terms to improvise content grouping execution. This paper overviews content order, the procedure of content grouping, distinctive term gauging techniques and correlations between various characterization calculations.
Using Soft Set Relations and Mappings of Kernels and Closures
Authors:   Research scholar Periyar University PG Extension center-Dharmapuri, Geetha* K. , Anitha Dr. N. ,   Department of Mathematics , Periyar University PG Extension center-Dharmapuri , India
Published: April 2020

Abstract: In this paper, the views of anti-reflexive kernel, symmetric kernel, reflexive closure, and symmetric closure of a SS relation are initially presented, respectively. Then, their correct calculation formulae and a few laws are received. Finally, SS relation function and inverse SS relation functions are introduced, and some related conditions are discussed.
Durability Properties of Kaolinite Clay - Metakaolin in Concrete
Authors:   Asst.Prof., Dr.MGR Educational Research Institute University, Chennai, 600095, India., Narmatha* M. , Muralikrishnan S. ,   Asts.Prof,. Arignar Anna Instituteof Science and Technology,Chennai,602117, India
Published: April 2020

Unfortunately the concrete structures are exposed to fire, which may cause reduce in strength of structural components. In this article , the research , the effect of chloride (NaCl) penetration and temperature variations on metakaolin using in concrete. Here M60 grade concrete mix used and the concrete cubes (150 mm × 150 mm × 150 mm) are cast for cement replacement by metakaolin with 0%, 5%, 10%, 15% and 20%. The 0% specimens are considered as ‘Controlled Specimen’. Then these specimens are tested after 28 and 90 days for various temperature of 100, 200, 300 and 400°C with 1, 2 and 3 hour duration and same cubes are cast for M60 mix proportion and tested for Rapid Chloride Penetration Test and use 5% Sodium Chloride ( NaCl) concentration. The graphical Presentation is clearly shows that variations in compressive strength for cement replacement by metakaolin in concrete for chloride penetration and different temperature. For chloride penetration results shows that up to 10% to 15% replacement of Metakaolin, concrete gives good compressive strength and after it goes on decreasing,. Thus 10% give a desirable percentage of replacement. And also compressive strength drastically increasing with the age of concrete for various temperature exposures.
Human Face Recognition using LBPH
Authors:   Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India., Panda* Stitiprajna , Barik Swati Sucharita ,   Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India., Nayak Sasmita Kumari ,   Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India, Tripathy Aeisuriya ,   Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India., Mohapatra Gourav ,   Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India.
Published: April 2020

During the beginning of seventieth centuries, human facial recognition has become one among the researched areas in the area of finger print scanning and computer vision. Identifying a person with an image has been popularized through the mass media. The recent technologies are totally focusing on developing the smart systems that will recognize the faces for biometric purposes. In this context automatic face recognition is applied for security purposes to find the criminal, attendance system, scientific laboratories etc. This research paper presents the frame work for real time face detection. However, it is less robust to finger print or retina scanning. This paper describes about the face detection and recognition. These technologies are available in the Open-Computer-Vision (OpenCV) library and methodology to implement them using Python in image processing and machine learning. For face detection, Haar-Cascades algorithms were used and for face recognition the algorithm like Eigen faces, and Local binary pattern histograms were used.
Identity Based Data Sharing and Profile Matching using Probabilistic Key in Cloud
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Paul* Reshmi , Jeyasekar Dr. A. ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: April 2020

Cloud technology is popular since the utilizations and their information are expanding hugely step by step. It gives usefulness to overseeing data information in a conveyed and pervasive way supporting many platform. Data sharing and security problem are the principle issue to the increasing use of health care, since health information is delicate. However issues, for example, risks of privacy exposure ,versatility in key administration, adaptable access and effective uses denial always been the most significant difficulties for accomplishing good- grained cryptographically upheld information access control. Right now structure a protected information move and profile coordinating plan with probabilistic open key encryption in correspondence test to diminish the size of open key which helps in decreasing the capacity and furthermore time productive. Our probabilistic open key encryption plot when executed in a bilinear gathering, it can check whether two figure writings are scrambled of a similar message. Strangely, in encryption or decoding system bilinear mapping isn't required in Public Key Encryption conspire except if when individuals need to do in fairness test between two figure messages that might be produced utilizing diverse open keys. Additionally the profile coordinating component dependent on Probabilistic Public Key Encryption with fairness test( PPKEET) causes patient to discover companions in a security saving way with age of trapdoors and structure social connections as indicated by the desire. The security examination and trial results demonstrated that our plan is ensuring the information and giving right medicine in cloud.
Prediction and Analysis of Extracting Relations using Spacy Model
Authors:   Department of Computer Science, Bharathiar University, Coimbatore, India., G* Suganya. , R Porkodi ,   Department of Computer Science, Bharathiar University, Coimbatore, India.
Published: April 2020

Text is an extremely rich resources of information. Each and every second, minutes, peoples are sending or receiving hundreds of millions of data. There are various tasks involved in NLP are machine learning, information extraction, information retrieval, automatic text summarization, question-answered system, parsing, sentiment analysis, natural language understanding and natural language generation. The information extraction is an important task which is used to find the structured information from unstructured or semi-structured text. The paper presents a methodology for extracting the relations of biomedical entities using spacy. The framework consists of following phases such as data creation, load and converting the data into spacy object, preprocessing, define the pattern and extract the relations. The dataset is downloaded from NCBI database which contains only the sentences. The created model evaluated with performance measures like precision, recall and f-measure. The model achieved 87% of accuracy in retrieving of entities relation.
Impulse Purchase Behaviour towards FMCG Products- Eying From Generation Y Lenses
Authors:   Assistant ProfessorDon Bosco College, Golaghat, Assam.Present Address: Don Bosco College,Dhodhar Ali Road, Golaghat, Assam india., Rizal* Sanjay
Published: April 2020

India is a nation loaded with youth, presently relies upon the youth in all the crucial areas and its development. Youth is known for its vitality, intensity, boldness, the ability to go out on a limb in all circles of life, and if we want to change the present environment scenario to make the future much better place to live then the use of FMCG product is very essential as they fulfill our needs as well as the need of the environment. Many researchers have shown the purchase of the FMCG product as a planned purchase, but contrary to those, this paper will attempt to find out the impact of an impulse purchase on FMCG products. The paper will also try to showcase the presence of impulse purchases in the FMCG product category through a Model by using AMOS 23. The researcher will collect data from 150 respondents from Golaghat and Jorhat district through a structured questionnaire that will further be broken down and analyzed through SPSS 20. This paper will assist the readers in understanding presence of impulse purchase towards FMCG products and also shows the mentality of the people of the Golaghat and Jorhat district of Assam, India, concerning FMCG impulse Purchase and will give a glimpse of their demeanor towards FMCG products.
Cancer Prediction Method using Effective Feature Extraction and Supervised Classification Techniques
Authors:   Department of Computer Science & Engineering,Sri Krishna College of Technology, Coimbatore, India., S*. Supraja , N. Vasuki ,   Department of Computer Science & Engineering,Sri Krishna College of Technology, Coimbatore, India., N. J. Vishwa Dhakshana ,   Department of Computer Science & Engineering,Sri Krishna College of Technology, Coimbatore, India., N. Kiruthiga ,   Department of Computer Science & Engineering, Sri Krishna College of Technology,Coimbatore, India.
Published: April 2020

ML, the logical investigation of calculations and measurable models that PC frameworks use to acceptably play out a specific endeavor without using unequivocal headings, subordinate upon models and deciphering. A huge bit of down to earth AI utilizes controlled learning.PC based understanding has been used in various fields of drug. Decision help instruments with presenting to AI models can be passed on for chest undermining headway figure. Such models can add to early finding and treatment and right currently results. With intensive electronic clinical records and moved AI impels, a chest compromising improvement want model can be utilized as a choice assistance mechanical get together for care intervention.Breast infection is the fifth driving clarification behind perilous advancement mortality around the world. Early affirmation of repeat chance is principal in improving desire. Chest hurtful advancement happens in chest cells, the slick tissue or the stringy connective tissue inside the chest. Chest sickness is hazardous tumors will all around become reasonably logically awful and become lively instigating end. Factors, for example, age and a family legacy of chest danger can create the risk of chest illness. Two sorts of tumors: Benign: this tumor type isn't hazardous for a human body and from time to time causes human destruction. Undermining: this tumor type is powerfully perilous and causes human passing, it is called chest unsafe advancement. The reason for this assessment is making and studying models dependent on different parameters for chest threat guess.
Signal Enhancement of Acoustic Signature of Lutjanidae Family Species in Indian Waters
Authors:   Research Scholar, Dept. of Env.Sci & Mgmt, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India., Kannan* R. , Devi M. Prashanthi ,   Dept. of Env.Sci & Mgmt, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India., Kannan G. Karpaka ,   Dept. of Computer Science, Sethu Institute of Technology, Kariapatti, Tamil Nadu, India.
Published: April 2020

The present study is to carry out the enhancement of the acoustic signals of Lutjanidae species often found in abundance, in tropic shallow waters. Since most of the studies on Lutjanidae is about its physical structure both internal and external, and its population in sea ie., catches in tons per year. This research work is the first attempt on the acoustical study of Lutjanidae family species call signal. Five species of Lutjanidae family are considered for this study which includes L. analis, L. apodus, L. synagris, L. griseus, and L. jocu). The earlier literature which studied the acoustic toning of marine species vocalization using empirical mode decomposition method [1]. Here in this research, (i) signals with background noise and (ii) enhanced signals are considered for comparison. The enhancement of acoustic signals of Lutjanidae family species is useful as acoustic reference for those working in the field of biological signal processing. The enhancement of the signal is achieved by the logical applications and applying Short Time Fourier Transform (STFT), inverse STFT. From the above two cases considered, the frequency range of 50 to 2500 Hz approximately is clearly noticed in the spectrogram, power spectral density and it shows the frequency of all species looks similar. By listening the sound produced by the species, it is observed to be of type knocking sound.
Implementation of Popular Techniques for Movie Recommendations
Authors:   Assistant Professor, Department of Computer Science & Engineering, Mahatma Gandhi Institute of Technology, affiliated to JNTU-H. Hyderabad, India., Sujini* G. Naga , Deepika D. Gyana ,   Department of Computer Science Engineering from Mahatma Gandhi Institute of Technology affiliated to JNTU-H., Hyderabad, India.
Published: April 2020

In today’s world where there is a plethora of movies to choose from in any medium, recommendation systems play a crucial role in reducing the search time for the movie watchers by recommending them the most relevant movies that they would most probably like. There are a wide range of approaches and techniques which are used for recommending movies. While some techniques reflect the current trend and popularity of movies, others are able to capture and analyze the past behavior of the viewer and make recommendations accordingly. Recommendation systems are an integral part of companies such as Netflix, Amazon Prime, Hulu and various others to ensure that their customers have a pleasant experience which in turn would boost the company’s profits. This study discusses and analyses the various approaches and techniques used for the recommendation of movies.
Identification and Recognition of Rotavirus- A Particles in Microscopic Images using Enhanced Hybrid Segmentation Methods
Authors:   Department of Computer Science Department, Christ Deemed to Be University, Bangalore, India., Hiremath* Dr. Manjunatha , Benny Anoop ,   Department of Computer Science Department, Christ Deemed to Be University, Bangalore, India.
Published: April 2020

The medical image processing or the medical imaging helps in identifying the different types of diseases that are infected to human body. We know that virus is an infective agent that cannot be seen by the human eyes and this can be viewed with help of a microscope. Rotavirus is type of virus that affect human infants that causes diarrhea, which leads to death in severe condition. Identifying the virus particles in the microscope image is a tedious task. Giving prescription based on the medical diagnosis is dependent how accurately it is done. In this paper, the study of identification, segmentation and feature extraction of the Rotavirus-A in the electron microscopic images is considered. The proposed research method hybridizes four segmentation methods which identifies and classify the rotavirus-A particles in the microscopic image based on their features. The classification is carried out using Decision tree classifier and the accuracy rate is measured. The proposed method yields 96% average accuracy result and this can be improved by considering more dataset and training on it.
An Efficient Non-Invasive Method for Fetal Ecg Extraction from Abdominal Signals
Authors:   Department of Electronics and Communication Engineering, Anna University, Chennai, India., Rajalingam* S. , D Varsha ,   Department of Electronics and Communication Engineering, Anna University, Chennai, India, M Suvetha ,   Department of Electronics and Communication Engineering, Anna University, Chennai, India., P. Veerabathiran ,   Department of Electronics and Communication Engineering, Anna University, Chennai, India.
Published: April 2020

The principle target of this paper is to decide the over the top attributes of a baby during pregnancy by examining a fetal ECG waveform. In obtrusive system of FECG estimation, terminals are embedded inside the body this may cause the burst of films, which is perilous to both the fetal's and mother's lives. It is important to go for non-invasive strategy, right now readings are taken from the mid-region of pregnant ladies which is protected procedure for both mother and fetal. The fetal ECG waveform can be separated by smothering maternal ECG sign and clamor defilements present in the ECG input signal. By breaking down the fetal ECG waveform we can decide the irregularity of baby heart by estimating the fetal pulse and contrasting it and maternal pulse .The variation from the norm found in fetal during pregnancy can be valuable to treat the hatchling against heart related illnesses.
A Circular Shaped Fractal Patch Antenna for Multiband Applications
Authors:   Department of Electronic and Communication Engineering, Amity School of Engineering & Technology, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior (MP)-474005, India., Kushwah* Vivek Singh , Garg* Narendra Kumar ,   Department of Electronic and Communication Engineering, Amity School of Engineering & Technology, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior (MP)-474005, India
Published: April 2020

The principle purpose of this paper is to design a microstrip patch antenna using the circular fractal shape through HFSS software so that the designed antenna would be beneficial in multifarious bands with low cost, less physical size and most vitally high bandwidth. The results obtained are also very close and even accurate to match with the current world.
Human Behavior Prediction based on Opinions using Machine Learning Techniques
Authors:   Benedictine Academy, Bangalore, Karnataka, India, K S Sanjay , Danti Ajit ,   Christ(Deemed to be University),Bangalore,Karnataka, India,
Published: April 2020

Prediction is the way of identifying the behavior of a person towards online shopping by analyzing the reviews publicly available on the web. In the present study, machine learning approaches are used to extract reviews from the web and segregate and classify them in to five categories, namely, strongly positive, positive, neutral, negative, and strongly negative, for the prediction of human behavior. Several pre-processing methods (including stop-word removal) are applied and web crawler is used to gather the data. This is followed by the application of Stanford POS tagger for tagging the reviews, which is done after stemming by using the porter stemmer algorithm. Analysis of a person’s behavior is performed and experimental results are compared with machine learning approaches.
An Internet of Things based Software Defined Security Service Provisioning Framework
Authors:   Assistant Professor, Sridevi women's Engineering College, Hyderabad, India., Saibabu* A. , Krishna Dr. V. Anantha ,   Professor, Sridevi women's Engineering College, Hyderabad, India., Prabhavathi V. ,   Assistant Professor, Malla Reddy Engineering College For Women, Hyderabad, India.
Published: April 2020

Software Defined Networking (SDN) is a propelling system structure perspective that spotlights on the parcel of control and data planes. SDN gets creating care both from the academic network and adventure, all through an immense number of utility spaces. The proposal of extended progression in system purposes and diminished expense for framework directors has gotten over the frameworks organization world to the innovative and farsighted of Software Defined Networking (SDN). With the surge of widely inclusive detectable quality over the system and the likelihood to programming framework contraptions, architects have rushed to remunerate a variety generally SDN-pleasant hardware, programming and organizations. Regardless, amidst this free for all of movement, one key segment has least troublesome not exceptionally far in the past entered the discourse: organize protection. In this article, confirmation in SDN is considered offering both the investigation social event and industry advances with respect to this issue.
An Innovative Device to Monitor Material Quality using Magnetic Permeability
Authors:   department of Aerospace Engineering, Jain University, Bengaluru, India., N* Kadripathi K , Kiran Dr K S ,   department of Physics, Jain University, Bengaluru, India., Ragav L Yethinder ,   department of Aerospace Engineering, Jain University, Bengaluru, India., Kiran B Manu ,   department of Aerospace Engineering, Jain University, Bengaluru, India.
Published: April 2020

the proposed concept in this paper aims to design an instrument that measures and compares the magnetic permeability of the given substance, hence to determine the purity of the sample in a non-destructive manner. This works based on the stimulation method, where the magnetic field acts as a stimulator. A certified pure sample of milk is analyzed using this device to get the standard permeability of the milk. Then this sample is diluted with a known amount of water and the deviation of permeability is studied. The attained results are used to calibrate the device. The equation, which is modeled from the results, is used to interpret the purity of the given sample. The sample that has undergone the test procedure is safe to be reused. This is an effective Non-Destructive Test (NDT) to know the adulterant. Not only milk but other fluids such as hydraulic oil, fuels, and solids can also be tested for their impurity content. This device can also be used as a complementary for Electronic Tongue. It is a more efficient method where the comparative study of materials is used. Further, this method can be used to approximate the boiling and freezing point of the same when the exact composition of the material is known
An Analysis of Percentage Share of Foreign Exchange Earnings from Tourism in Balance of Payments of India
Authors:   Research Scholar, Department of Economics, Dibrugarh University, Dibrugarh, Assam, India, Bharali* Pallabi
Published: April 2020

Tourism is a rapidly growing industry of the world and it is gaining universal acceptance as an engine because of its forward and backward linkages which helps in overall development of a country. Like any other countries, India is also recognizing the tourism sector’s ability to push the economy upward. India is now able to attract a huge amount of foreign tourists, which is giving rise to the number of foreign tourist arrivals (FTAS) in India, which in turn giving rise to the foreign exchange earnings. According to Ministry of Tourism (Government of India), during 2018, foreign tourist arrivals (FTAs) in India stood at 10.56 million and it is contributing US $ 28585 million as a Foreign Exchange to the economy. This is also providing helping hand to stabilize the Balance of Payments (BoP) of the country. The tourism sector of India is the second largest contributor among the services to the current account balance of the country. India is a net exporter of travel as foreigners visiting India spend more money than Indians visiting foreign countries. As International tourism usually does not require high value imports for every single unit of foreign currency coming into the economies of developing countries, it can be used for the development of the economy of the country. However, this paper is trying to analyze the growth of the tourism sector as well as its percentage share as Foreign Exchange Receipts to the Balance of Payments (BoP) of the country India.
Forecasting Cloud Resource Provisioning System using Supervised Machine Learning
Authors:   Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India., Mirzad* Frishta , Ghalib Muhammad Rukunuddin ,   Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
Published: April 2020

One of the biggest challenges cloud computing faces is forecasting correctly the resource use for future demands. Consumption of cloud resources is consistently changing, making it difficult for algorithms to forecast to make precise predictions. Using of the machine learning in cloud computing leads to many benefits. Such as chances of the enhancement in the quality of the service via forecasting future burden of works and responding automatically with dynamic scaling. This motivates the work presented in this paper to predict CPU use of host machines for a single time and multiple times. This paper uses three supervised machine-learning algorithms to classify and predict CPU utilization because of their capability to keep data and predict accurate time series issues. It is tried to forecast CPU usage with better accuracy while comparing to traditional methods.
Performance Data Analytics for Contact Cooled Rotary Screw Air Compressors
Authors:   Professor, Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India., Chelladurai* Xavier , Jain Suraj S ,   Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India., Burman Aryna Soni ,   Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India., Kumar Sonal ,   Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India., Srinivas Sindhu ,   Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India.
Published: April 2020

The operations management of air compressors gets transformed from the traditional reactive approach to the proactive data analytics based one. While large volume of data is analyzed, it is important to identify the parameters that cause performance deterioration. This helps in the preventive maintenance and increases the system availability to a great extent. In this research, we propose an approach to identify the causal parameters and test them in a practical customer environment. We have analyzed the data pertaining to Contact Cooled Rotary Screw Air Compressors from a customer's site. The system is controlled by XE-90M/145M controller. The controller continuously monitors 85 parameters and values collected every minute and uploaded to the cloud every 15 minutes. We analyzed the data for all the parameters, identified the upper control limit (UCL), lower control limit (LCL) and mean values. Using the historical data of drip of compressors, we have analyzed the data and classified the parameters into two categories, parameters which causes the performance deterioration and the ones that goes abnormal as a consequence of performance deterioration. Also, the study has discovered that the causal parameters show performance deterioration symptoms during a window of one to three hours before the actual drip happens. This has helped the customer to proactively do the corrective actions in the window and avoid drip of the compressor.
Advanced Driver Assistance System
Authors:   Assistant Professor, Senior Grade, Mepco Schlenk Engineering College, Sivakasi., Gopalakrishnan* K. , Fathima S. Afrin ,   Department of Electronics and Communication Engineering in Mepco Schlenk Engineering College, Sivakasi., Matheshwari K. S. ,   Assistant Professor, Senior Grade, Mepco Schlenk Engineering College, Sivakasi.
Published: April 2020

The prime motive of the automobile industry is to improve safety in driving machines and avoid accidents. Traffic rules and regulations drafted by the law aren’t followed by many citizens. This is another reason for an accident. Accidents sometimes are unintentional. Some serious acts like drunk and drive, ignoring the signboards, and over speeding might result in severe causalities. To prevent situations like these we seek the Advanced Driver Assistance System (ADAS). ADAS has the potential to increase safety and provide comfort driving. Driving situations are electronically controlled and decisions are simplified for the driver. Old people may also receive plenty of benefits from this technology. ADAS is designed with a human-machine interface which tends to improve road safety marginally. Accidents caused by human error can also be minimized. ADAS helps the driver to automate, adapt and enhance the vehicle system for safe driving. Passive safety technologies like wearing seatbelts and airbags cannot prevent road fatalities. Modern technology like ADAS is different from traditional and passive technology and minimizes the fatalities consistently. ADAS also alert the driver of potential problems and helps in maintaining the stability of the vehicle under critical circumstances. Safety features are implemented to take control of the vehicle during collisions. ADAS relies on inputs from multiple sources like the brake assistant, pressure control system, lane departure warning system, road sign identification, etc. Additional features can also be customized based on the needs of the driver. In this paper methods to prevent over speeding, vehicle collisions, and driver alertness systems are discussed. RFID readers are used for sensing the speed limit in the signboards. The speed of the vehicle is managed based on the reading obtained from the tags. Sensors like ultrasonic, alcohol detector, gas sensor, temperature sensor are used to measure other parameters to enhance the safety measure while driving.
Optimal Linear Arrangement of Turán Graphs
Authors:   Department of Mathematics, Women's Christian College, Chennai 600006, India., Shalini* Arul Jeya , Delaila* J. Nancy ,   Department of Mathematics, Loyola College, University of Madras, Chennai 600034, India., Julie J. Maria ,   Department of Mathematics, Government Arts College, Paramakudi, 623701, India.
Published: April 2020

Graph embedding in parallel processing techniques has acquired considerable attention and hence raised as an efficient approach for reducing overhead data into low-dimensional space. Optimal layout and congestion are powerful parameters to examine the capability of embedding. In this study, Modified Congestion and  -Partition lemmas are utilized to obtain the optimal layout of Turán graph into path and windmill graphs.
FEATURES OF MASS-SPECTROMETRIC PROTEIN PROFILES OF STRAINS OF BRUCELLOSIS CAUSATIVE AGENT DURING PREPARATION OF CULTURE ON VARIOUS NUTRIENT MEDIA
Authors: Ulshina D. V. , Kovalev D. A. , Zhirov A. M. , Zharinova N. V. , Khudoleev A. A. , Kogotkova O. I. , Efremenko V. I. , Evchenko N. I. , Kulichenko A. N.
Published: April 2020

Aim. Carry out comparative analysis using time-of-flight mass-spectrometry with matrix laser desorption/ionization (MALDI-TOF MS) of protein profiles of brucellosis causative agents (Brucella melitensis Rev-1 and Brucella abortus 19BA), cultivated in various nutrient media: Albimi agar, brucellagar and erythrit-agar. Materials and methods. Vaccine strains: Brucella melitensis Rev-1 and Brucella abortus 19BA. Protein profiling in linear mode on Microflex «Bruker Daltonics» MALDI-TOF mass-spectrometer. Results. A number of characteristic features of brucella mass-spectra was detected: in particular, preservation of the total qualitative composition of protein profiles of cultures and significant differences in the intensity of separate peaks depending on the nutrient medium used. Conclusion. Based on the analysis of the data obtained, use of Albimi agar as the nutrient medium for preparation of brucella culture samples for mass-spectrometric analysis was shown to be optimal.