bluuebunny/crossref_metadata_2025 huggingface dataset:
Alloplastic parieto-synthesis complications in abdominal wall reconstructive surgery – our clinical experience
Authors: DANA VASILESCU , SABINA IONITA , VICTOR GRAMA , ADRIAN PELINARU , ALEXANDRU LAURENTIU CHIOTOROIU
Published: August 2019

Currently, it is believed that the treatment of eventrations is not possible without the use of biomaterials. Although they
are used for several decades, being continuously studied and improved, now we are in a stalemate. Chemically, some
materials appear to be perfectly biocompatible but the physical and structural characteristics of different types of
prostheses are associated with various complications, including the risk of foreign body reactions, infection, seroma
formation, intestinal obstruction, extrusion of the implants, malposition, malrotation, erosion of cavitary viscera,
appearance of digestive fistulas, failure of reconstruction.
In an attempt to minimize these risks as much as possible, it is necessary to know the mechanisms of occurrence of
potential complications.
The effect of process parameters on the electrospun polystyrene fibers
Authors: CRISTINA BANCIU , ADELA BĂRA , ELENA CHIȚANU , VIRGIL MARINESCU , GABRIELA SBÂRCEA , IOANA ION
Published: August 2019

Electrospinning is one of the methods for obtaining nano/microfibers, using polymeric solutions. These nanofibrous
membranes are highly porous with interconnected pores, having high specific surface area and small pore size, making
them a suitable candidate for filtration applications. The properties of electrospun fibers are influenced by polymer
solution, solvent, solution concentration, viscosity, electrical conductivity, electrical voltage, spinneret to collector
distance etc. Expanded polystyrene is a polymeric product that is usually used for insulation and packaging. Recycling
expanded polystyrene into nanofibers with applications in filtration could be useful from an economic point of view. The
purpose of this study was to investigate the influence of expanded polystyrene polymer solution characteristics
(concentration, viscosity) and the process parameters (applied voltage, distance between the tip and the collector plate,
flow rate of the polymer solution) on the morphology and the properties of the obtained electrospun fibers. Therefore,
three EPS solutions with 10, 15 and 20% wt. concentration were prepared and were electrospun under processing
conditions with an applied voltage of 12, 15 and 18 kV, a spinneret-to-collector distance of 20 cm, a flow rate of solution
of 1.5 and 2 mL/hour, a spinneret diameter of 0.8 mm and stationary copper substrate. The morphology of the
electrospun fibers was observed by scanning electron microscopy. The mechanical properties were evaluated by tensile
strength and elongation tests.
Effect of process variables on the properties of dual-core yarns
containing wool/elastane
Authors: HUSEYIN GAZI TURKSOY , NIDA YILDIRIM
Published: August 2019

The denim, having a large customer base irrelevant of age, gender and social status limitation, has been one of the most
important products for thegarment sector. Denim fabric demand has diversified with the changing consumer’s sense of
life day by day. The denim manufacturers develop alternative production techniques and materials by turning towards
new researches in order to adapt to consumer demands. One of the alternative materials, which are used in denim fabric
structure, is the dual-core yarns. The dual-core yarn is manufactured through the modified ring-spinning machine in
order to benefit at the same time from the properties of two core components. In this study the influence of some
production parameters such as twist level, wool draft and elastane draft on the properties of dual-core yarns containing
wool/elastane is investigated.The results indicated that the twist level is significantly effective parameter for the
unevenness, hairiness, tenacity and elongation values of dual-core yarns. In addition, wool draft is significantly effective
parameter for hairiness and breaking elongation values. It was also observed that variation of elastane draft level affects
tenacity and elongation values of dual-core yarns.
Study of electrospun cellulose acetate fibers
Authors: ELENA CHIȚANU , ADELA BĂRA , CRISTINA BANCIU , MARIUS LUNGULESCU , VIRGIL MARINESCU
Published: August 2019

The objective of this work was the preparation of cellulose acetate nanofibers by electrospinning using a mixture
of solvents. Cellulose acetate solutions were electrospun from binary and ternary solvent systems, such as
N,N-dimethylformamide, acetone and chloroform. The effects of the solvent systems on the structural, morphological
and mechanical characteristics of the fibers were investigated.
Pregnancy Intention, Ambivalence, and Contraceptive use in Community Health Center (CHC) Populations
Authors: Beeson Tishra , Kress Jenna , Wylie Janelle , Wood Susan F.
Published: August 2019

Abstract

Introduction: Understanding the complexity of pregnancy intentions and resulting behaviors is essential to ensuring high quality, patient-centered reproductive health services that meet the needs of women and their partners. Community Health Centers (CHCs) play an important role in providing family planning care for traditionally underserved women, who may be at increased risk of experiencing unintended pregnancy. This study presents emerging findings on pregnancy intentions, ambivalence, and contraceptive behaviors among patients in CHC settings.

Methods: This study employed a national survey (n=1,557) of women of reproductive age (18-44 years), sampled from 19 different CHC sites. The survey gathered information on patient characteristics, experiences with care, decision-making criteria and utilization of contraceptive services. Pregnancy intention was measured using the One Key Question®.

Results: Approximately 12% of women reported that they wanted to become pregnant in the next year, while 88% were not actively seeking to become pregnant. Nearly 30% of those who did not desire a pregnancy reported not using contraception at the time of the survey. 1-in-4 women were pregnancy ambivalent and used contraception at approximately the same rates as women seeking to become pregnant.

Conclusions: Women who express pregnancy ambivalence use contraception at similar rates to those who intend to become pregnant in the next year, potentially increasing their risk for unintended pregnancy. Understanding the characteristics and behaviors of underserved patients across different pregnancy intentions may help ensure that women receive the information, services, and support they need to achieve their reproductive health goals.

Keywords: pregnancy intentions, family planning, community health centers, CHC, One Key Question®
GAMBARAN KESIAPAN REMAJA DALAM MENGHADAPI MENARCHE DI SDIT AISYIYAH FULL DAY PANDES WEDI KLATEN
Authors: , Kuswati , Handayani Rohmi
Published: August 2019

Kuswati 1)  , Rohmi Handayani 2) 1) 2) Jurusan Kebidanan Poltekkes Kemenkes SurakartaE-mail: ommykanza@yahoo.com ABSTRAKMenarche adalah menstruasi pertama kali yang merupakan salah tanda pubertas pada anak perempuan. Saat ini usia menarche cenderung maju atau bertambah muda yaitu 10-16 tahun, jika dibandingkan dengan kondisi 20 tahun yang lalu yang rata-rata terjadi pada usia antara 15-19 tahun. Hal ini dipengaruhi oleh ras, keturunan, status gizi, dan kondisi kesehatan secara umum. Banyak respon negatif yang ditunjukkan anak yang baru mengalami menarche apabila mereka memiliki pengetahuan dan persiapan yang kurang terkait menarche. Penelitian ini untuk mengetahui gambaran kesiapan remaja menghadapi menarche. Populasi dalam penelitian adalah seluruh remaja putri di SDIT Aisyiyah Full Day Pandes Wedi  Klaten yaitu 50 remaja yang diambil secara total sampling. Metode pengumpulan data adalah dengan menggunakan kuesioner. Analisis data menggunakan analisis univariat yaitu dengan distribusi frekuensi. Mayoritas remaja putri di SDIT Aisyiyah Full Day Pandes Wedi Klaten siap menghadapi Menarche.Kata Kunci: Kesiapan Remaja, MenarcheDESCRIPTION READINESS OF YOUTH DEALING IN MENARCHE IN FULL DAY SDIT AISYIYAH PANDES WEDI KLATENABSTRACTMenarche is a first menstruation that one of  the girl puberty sign. Now, age of menarche is inclined young, 10 until 16 year old if compared with 20 years ago that happened at 15-19 years old. That case influenced by ethnic, genetic, nutrient status and condition of general health. There are many negatif respon that showed by a gril that had a menarche experience if they are lack of knowledge and preparation about menarche. The purpose of this study is to know a description of adolescene readiness to faced a menarche. Population of this study is all of girl adolescene at Aisyiyah Full Day Integrated Islam Primary School, Pandes Klaten, that count is 50 adolescenes with total sampling technique. The methode of data collection is using kuesioner. Data is analyst by univariat analysis with frequency distribution. Majority of girl adolescenes in Aisyiyah Full Day Integrated Islam primary school Pandes wedi is ready to faced menarche.Keywords: adolescene Readiness, Menarche
MASSASE ENDORPHIN TERHADAP VOLUME ASI PADA IBU POST PARTUM
Authors: . Hartono , Oktaviani Anisa Sevi , Nindya K Devi
Published: August 2019

ABSTRAKMemberikan ASI merupakan hak setiap ibu setelah melahirkan, begitu pula pada ibu bekerja. Dibutuhkan informasi yang lengkap mengenai manfaat ASI dan bagaimana melakukan manajemen laktasi agar pemberian ASI dapat terlaksana dengan baik. Salah satu cara penatalaksanaan nonfarmakologis untuk mengurangi nyeri dengan endorphine massage. Endorphin Massage merupakan sebuah terapi sentuhan/pijatan ringan merangsang tubuh untuk melepaskan senyawa Endorphin yang merupakan pereda rasa sakit dan dapat menciptakan perasaan nyaman. Jenis penelitian ini menggunakan metode penelitian kuantitatif dengan desain penelitian pre-experimental, yaitu pretest-posttest design, dimana merupakan penelitian dengan membandingkan keadaan sebelum dan sesudah diberi perlakuan. Dalam penelitian ini nilai pretest-posttest yang diperoleh dari masing-masing kelompok dianalisis dengan menggunakan paired t test (Uji beda sampel berpasangan). Dari hasil uji statistik menggunakan paired t test dengan signifikansi level (α = 0,05), diperoleh nilai signifikan p=0,001 (p < 0.05) menunjukkan bahwa dilakukannya massase endhorpin mempunyai pengaruh yang bermakna secara statistik terhadap volume ASI pada ibu post partum.Kata Kunci : Endorphin, Massage, ASITHE INFLUENCE OF MASSASE ENDORPHIN AGAINST VOLUME OF BREAST MILK ON THE POSTPARTUMABSTRACTBreastfeeding is the right of every mothers after childbirth, as well as on working moms. It takes a complete information about the benefits of breastfeeding lactation management and how to do so that breast feeding can be done well. One way to reduce the pain no farmakologis management with endorphine massage.  Endorphin Massage is a therapeutic touch mild massage stimulates the body to release Endorphin which is a compound pain reliever and can create a feeling of comfort.  This type of research  using quantitative  research methods withpre experimental research design, namely pretest-posttest design, where is the study by comparing the circumstances before and after being given the treatment. In this research the value of pretest-posttest obtained from each group were analyzed using paired t test/ Test sample paired difference From the results of statistical tests using the paired t test with significance level (α =0.05), obtained significant value p= 0.001 (p < 0.05) showed that he does  have an effect endhorpin massase which means that statistically against the volume of breastfeeding in the mother postpartum.Keywords: Endorphin, Massage, Breastfeeding.
PERLAWANAN AL-QURAN DAN HADIS TERHADAP KEMISKINAN
Authors: Musyafak M. Ali
Published: August 2019

There is no doubt, that poverty is great danger of the religious beliefs, Especially extreme poverty severe, who were in front of the eyes of rich egoistic people. More worried, if poor people do not have jobs,and rich people do not want to give their hand. That is when the poverty will invite doubt against sunnatullah (provisions god) above this world. And cangive confidence in the injustice in a division of fortune. That is the dangerous of  declining of aqeedah that is caused by poverty. As the word of Rasulullah, “almost poverty make people become atheist.”Sayyidina Ali ra said that if the poverty like a men, I will kill them. Al Quran and Hadis give guidance to against poverty, the guidance has two aspects. The guidance from individual as hard work and simple living, and the guidance from social as management zakat productive, charity productive and infaq.
NILAI-NILAI PENDIDIKAN ISLAM DALAM KARYA-KARYA KH. R. ASNAWI
Authors: Khosiin Nur
Published: August 2019

This research is focus direction to study about Islamic education values in the KH. R. Asnawi field trip, wich written in the Jawab Soalipun Mu’taqod, Fsalatan and Syi’iran Nasehat holy books. Researcher is tried to bring interpretation toward KH. R. Asnawi think up with looking method his harmony and determine rationale. In the KH. R. Asnawi psychology contemplation and history it’s turn up initial by KH. R. Asnawi field trip. From this holy book too virified about values relevance with Islamic education goal. Researcher used the type of literature research to study in a dept and intensive manner about meaning which consist from that study with to do research approach according to interpretative-descriptive.
METODE MEMBACA KITAB KUNING ANTARA SANTRI DAN MAHASISWA
Authors: Ulum Mokhamad Miptakhul
Published: August 2019

The kitab kuning is not a term because the book is yellow only, but is a book term written by ulama’. The kitab kuning is more familiarly spoken  by Indonesian ulama even call it a kitab gundul (without a punctuation), but in academia both in Indonesia and overseas the kitab kuning is more popular as turats. Reading the kitab kuning is the ability that should be owned by every syariat seekers and the da’i candidates. The ability to read the kitab kuning gundul will be very helpful every muslim to explore the arguments of the al-Qur’an and al-Hadits. Santri and college student are science seeker whose success its is waiting by the community. They are trusted as the nation’s next generation who are able to transfer Islamic values. Santri has differences with college student in developing  the ability to read the kitab kuning, but does not reduce the substance in understanding the contents of the kitab kuning. The method santri uses wetonan, sorogan, mużākarah and takhdim. While college student are use by qirā’ah, simā’ah, takallum and kitābah.
Dengue Hemorrhagic Fever Vector in the Paring Sungai Martapura Indonesia
Authors: Triyanti Arista , Rifqoh Rifqoh
Published: August 2019

Dengue Hemorrhagic Fever (DHF) is one of the public health problems that is still found in Indonesia. This disease always occurs repeatedly due to failure of vector control. Indonesia is the second largest country among 30 countries endemic to DHF. This disease can cause death especially in children. In Sungai Paring Village, January-December 2017, 2 cases of DHF were found. The purpose of this study was to find out the House Index (HI), Countainer Index (CI), Breteau Index (BI), larva free numbers (LFN) , Density Figure (DF) and larvae positive container types. This research is a type of descriptive survey research with total sampling technique. The population in this study were households and containers in the Paring Sungai Martapura Sub-District. The sample in this study was all water reservoirs in 100 respondent's houses. Of the 100 houses surveyed there were 40 positive larvae (HI 40%), 60% ABJ, 41 larvae positive containers from 356 examined containers (CI 11.52%) and positive larvae containers namely, ceramic bath 3 (0.84% ), 1 cement bath (0.28%), 18 used paint buckets (5.06%), 4 large bucket buckets (1.12%), 3 ablutions (0.84%) and 6 plastic drums (1.70%). Based on this research, it is expected that respondents and the community take precautionary measures and control of dengue hemorrhagic fever (DHF) vectors by 3M. For researchers to conduct further research to determine vector density fluctuations
Big Data Analysis for Diabetes Recognition using Classification Algorithms
Authors:   Associate Professor, Department of  Information Technology, Vels Institute of Science, Technology & Advanced  Studies, Chennai, Kamalakkannan Dr. S. , Thiagarajan R. ,   Assistant Professor, Department of Computer Science,  St.Joseph’s College (Arts & Science), Chennai., Mathivilasini Dr. S. ,   Department of Computer Science, Ethiraj College  for Women, Chennai., Thayammal R. ,   Department of Computer Science, Chennai.
Published: August 2019

In that paper, we’ve an inclination to project as checking the whole patient ill health victimization Naive Bayes classification and J48 decision tree. As a result of the information, enormous process comes from mu ltiple, heterogeneous, autonomous sources with sophisticated an d evolving relationships and continues to grow. So in that, we’ll take results of what proportion share patients get ill health as a positive knowledge and negative knowledge. Huge info is difficult to work with victimization most database management systems and desktop statistics and internal representation packages. The projected shows a huge process model, from the data mining perspective. Victimization classifiers, we’ve an inclination to unit method congenital disease share and values unit showing as a confusion matrix. We’ve an inclination to projected a replacement classification theme which could effectively improve the classification performance inside the situation that employment dataset is out there. During this dataset, we have nearly 1000 patient details. We’ll get all that details from there. Then we have a tendency to unit attending to sensible and unhealthy values square measure victimization naive Bayes classifier and J48 tree
Recognizing Cassava Variety using Artificial Neural Network with Otsu Algorithm for Image Segmentation
Authors:   Graduate Programs, Technological Institute of  the Philippines, Cubao, Quezon City, Philippines., Unajan Magdalene C , Gerardo Bobby D. ,   College of Information and Communications Technology, West Visayas State University, Iloilo City, Philippines.
Published: August 2019

One of the many indispensable tools for ensuring a quality product is variety identification. Human experts identify the product variety by personal observation; however, in their absence and rarity, technology can be used instead. This paper proposed to develop a technique that can be used to determine the type of cassava through its digital leaf image. There are 235 images used for testing and preprocessing. Two images for each of the 47 cassava varieties are used in this study. The preprocessing method was performed first before the extraction of features. The Otsu algorithm segments the leaf image from the background. From the leaf samples, nine (9) color features, three (3) morphological features and, three (3) shape features were extracted. The values of the 15 extracted features are the input for the system for variety recognition. Backpropagation method of the artificial neural network (ANN) of multilayer perceptron is used to train the system. For the input, hidden, and output layers, the values are 15, 30, and 47, respectively. These correspond to the 15 extracted features, 30 hidden layers, and 47 cassava varieties. The accuracy obtained in the experiment is 85.11%. It can be concluded that the technology was able to identify the different cassava varieties effectively.
Categorized Image Classification uing CNN Features with ECOC Framework
Authors:   Department of CS, GITAM (Deemed to be  University), Visakhapatnam, India., Fatima Shameem , Seshashayee Dr. M ,   Department of CS, GITAM (Deemed to be  University), Visakhapatnam, India.
Published: August 2019

Image Classification technique is used to classify images into categories. In this study, an application is presented to examine category based image classification by combining Support Vector Machine with error correcting output codes (ECOC) framework. The ResNet50 used as Network architecture, our image dataset include caltech101 images from 9 categories (classes) which builds our classification task a multiclass problem. ECOC is a commonly used framework to model multiclass classification problem. We present one-verses-all coding design of ECOC and apply to SVM classifier. A pre-trained CNN (convolution neural network) is used for extracting image feature and as a classifier Multiclass Support Vector Machine is used. The extracted features are then passed for classification via ECOC approach. The final classification result predicts the class labels. The application is implemented in Matlab using pre-trained CNN. The prediction accuracy of each category is evaluated and presented. The experimental result shows an accuracy of 97.6%. Further experiments are carried out on different dataset which showed that best accuracy is achieved using CNN with ECOC for multiclass problem.
A Probability based Classification of Named Entities for Malayalam Language combining Word, Part of Speech and Lexicalized features
Authors:   Information Science and Engineering, New Horizon  College of Engineering, Bengaluru, India., Prasad Gowri , S.T Prakruthi ,   Information Science and Engineering, New Horizon  College of Engineering, Bengaluru, India.
Published: August 2019

Named Entity Recognition is the process wherein named entities which are designators of a sentence are identified. Designators of a sentence are domain specific. The proposed system identifies named entities in Malayalam language belonging to tourism domain which generally includes names of persons, places, organizations, dates etc. The system uses word, part of speech and lexicalized features to find the probability of a word belonging to a named entity category and to do the appropriate classification. Probability is calculated based on supervised machine learning using word and part of speech features present in a tagged training corpus and using certain rules applied based on lexicalized features.
Driver Drowsiness Detection using MATLAB
Authors:   B.tech (Electronics and communication), Banasthali  University, Jaipur, India., Tula Malvika
Published: August 2019

Drowsiness is major cause of accidents. So, this drowsiness detection system alerts the drowsy drivers in order to reduce the risk of potential accidents. The proposed system uses computer vision and image processing technology of MATLAB for detecting the drowsiness. MATLAB detects if eyes are closed or open using various image processing techniques performed using Viola-Jones face features detecting algorithm and skin y,cb,cr values detection function ,converting image into a binary image which was further employed to extract eye characteristics, and its closing frequency, determining drowsiness.
Big Data Analysis using Apache Hadoop and Spark
Authors:   Associate Professor, Department of Computer  Science, Vels Institute of Science, Technology &Advanced Studies,  Chennai., Sharmila Dr K. , Kamalakkannan Dr.S ,   Associate Professor, Department of Computer  Science, Vels Institute of Science, Technology &Advanced Studies,  Chennai., Devi R ,   Associate Professor, Department of Computer Science, Vels  Institute of Science, Technology &Advanced Studies, Chennai., Shanthi Dr.C ,   Associate Professor, Department of Computer Science,  Vels Institute of Science, Technology &Advanced Studies, Chennai.
Published: August 2019

Big Data have increased immense interest in the past few years. Nowadays analyzing Big Data is very common constraint and such chuck really turns into a big challenge to analyze the mass amount of data to get impact and different patterns of information on aconvenient way.Processingthe big data information in a single machine or evento storethese Big Data has become another big challenge of the Big Data. The elucidation for the above constraints is to give out data over large clusters so that Big Data to be analyzed and for storinginformation should beovercome. The article will explore perceptions of Big Data Analysisusing emerging tools of Big Data such as ApacheHadoop and Spark and its performance
Pure Shear Strength of PVA Fiber Reinforced Concrete
Authors:   Asst. Prof. Civil Engg. Department, Ahalia School of Engineering and Technology, Palakkad, Kerala, India., Varghese Alwyn , M Agrima ,   Civil Department, Ahalia School of Engineering and Technology, Palakkad, Kerala, India., M Balakrishnan ,   Civil Department, Ahalia School of Engineering and Technology, Palakkad, Kerala, India., C Greeshma ,   Civil Department, Ahalia School of Engineering and Technology, Palakkad, Kerala, India., P S Krishnapriya ,   Civil Department, Ahalia School of Engineering and Technology, Palakkad, Kerala, India.
Published: August 2019

Concrete is a compound which consists of binder with presence of water. The paper aims to investigate the influence of Poly Vinyl Alcohol (PVA) fiber on shear behaviour of concrete in structural element for which the conditions of pure shear established as an experiment without accompanying other stress components. The effect of PVA fiber with different dosages (0 - 0.3%) were analysed. The test was conducted to check failure in shear in an identified plane. Based on the test results of the investigation shear strength increased 20.78% and 43.18% for M20 and M50 grades of concrete respectively. The increment in dosage of fiber content reduces workability of fresh concrete. The empirical relationships have been established to calculate the values of shear strength for PVA fiber reinforced concrete in terms of fiber content.
Opinion Analysis and Statistics about the Success Rates of Treatments Extracted From Online Healthcare Forums for the Disease Psoriasis using a Pipeline of LDA, NLP and Artificial Neural Network
Authors:   Department of MCA, NMAM Institute of Technology, Nitte, Karnataka, India., Balipa Mamatha , R Dr. Balasubramani ,   Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, India.
Published: August 2019

This paper describes how the authors have applied NLP and text processing techniques to mine the messages related to the disease Psoriasis available online and posted by users who have undergone various types of treatments for the disease. The authors discuss the various classification techniques applied to classify the extracted messages as solution for the disease or non-solution. The authors also provide statistics regarding the success rates of the various types of treatments and medications in a consolidated form. A comparison study of the different types of treatments and their success rates is performed and statistics provided to the end users.
Discrete Multi Parameter Singular Perturbation Method with Power System Application
Authors:   Associate Professor, Department of Electrical and Electronics Engineering, Gudlavalleru Engineering College, Gudlavalleru, India., Babu Gunti Dr. Kishor , Movva Dr. Sree Krishnarayalu ,   Professor, Department of Electrical  and Electronics Engineering, V.R. Siddhartha Engineering College,  Vijayawada, India.
Published: August 2019

A class of linear discrete multi parameter stable control systems is considered which is notorious for its computational stiffness. For finding the exact solution of these systems special numerical methods need to be used. As an alternative, a singular perturbation method (SPM) is presented for initial and boundary value problems. Power systems are modeled as multi parameter systems due to their multi time scale nature. This SPM is applied to a load frequency control model of two area power system with three parameters as a case study. The results are presented up to second order approximation. They amply support the SPM presented.
Software Test Case Generation and it’s curtail using G-Genetic Algorithm
Authors:   Department of CSE, PVPSIT, Vijayawada,  Andhra Pradesh, India., Rao Dr. K Koteswara , Kumar Mr P Anil ,   Department of CSE, PVPSIT, Vijayawada, Andhra  Pradesh, India., Mohan Mr Ch. Chandra ,   Department of CSE, PVPSIT, Vijayawada,  Andhra Pradesh, India.
Published: August 2019

Project is a collection of similar activities that are going to be executed in certain order. Among the phases of project management testing show business crucial role. The intension of testing is not to prove the correctness; it is the process of verifying and validation. Software Testing is the most challenging job among all the peers of the industry. Exhaustive software Testing is never possible only Optimized software testing is possible. Hence Software Testing can be viewed as optimization problem as it fall under NP complete. Because of the extensive number of experiments that are required to perform adequate testing of the ideal programming application; the different strategies to decrease the test suite is required. One of the normal contemplated strategies is evacuating the repetitive experiments; the reason is insignificant number of experiments and greatest number of mistakes seclusion or revealing. In this exploration work consider is directed to address the usage and viability of G-hereditary calculation so as to decrease the quantity of experiments that don't included unmistakable incentive in the mean of test inclusion or where the experiments can't separate blunders. Hereditary calculation is used in this work to help in limiting the experiments or streamlining the experiments, where the hereditary calculation creates the primer populace arbitrarily, computes the wellness esteem utilizing inclusion measurements, and after that particular the posterity in back to back ages utilizing hereditary tasks choice, traverse and transformation. The hereditary displaying activities are explicit and dependent on the task may fluctuate to ordinary Genetic calculation. This procedure of age is rehashed until there is no adjustment in the wellness esteems for two successive ages, when there is no adjustment in the information age for two emphases so union accomplished or a minimized test case is achieved. The results of study demonstrate that, genetic algorithms can significantly reduce the size of the test cases
Transportation Dynamic Behaviour of Structural Break and Consumer Price Index
Authors:   School of Maritime Business &  Management, Universiti Malaysia Terengganu, 21030 Kuala Terengganu,  Terengganu, Malaysia,, Ruslan Siti Marsila Mhd
Published: August 2019

This paper studies the dynamic behaviour of transportation price in Peninsular Malaysia and Sabah from 2004 to 2015 using disaggregated monthly price data of consumer price index (CPI). For that, unit root tests and cointegration tests with structural breaks are incorporated. The findings indicated that (i) both Zivot and Andrews unit root test and Perron unit root test provided fairly similar results; most of the break points occurred in 2008, (ii) the variables cointegrate in the Johansen cointegration test which indicates that there is a long-run relationship and (iii) the Gregory and Hansen test also demonstrated some form of cointegration with structural break(s), especially in 2008. Overall, this study intends to match the structural break points with the comparable critical economic events.
Exploring Hybrid and Ensemble Models for Customer Churn Prediction in Telecom Sector
Authors:   Department of Computer Science and Engineering, Sri  Krishna College of Technology, Coimbatore, Tamilnadu, India., Pamina J. , Rajkumar T. Dhiliphan ,   Department of Computer Science and  Engineering, , Kalasalingam Academy of Research and Education, Anand  Nagar, Krishnankoil, Srivilliputur Post-626126, Virudhunagar District,  Tamilnadu, India, Kiruthika S. ,   Department of Computer Science and Engineering, Sri  Krishna College of Technology, Coimbatore, Tamilnadu, India., Suganya T. ,   Department of Computer Science and Engineering, Sri  krishna college of Technology, Coimbatore, Tamilnadu, India., F Femila ,   Department of Computer Science and Engineering, Sri  Krishna College of Technology, Coimbatore, Tamilnadu, India.
Published: August 2019

Most prominent challenges in all business is to retain and satisfy their valuable customers for sustain successfully in the market. Numerous Machine learning approaches are emerging to develop various customer retention models to solve this issue in many applications. This swing is more realized in telecom industry due its enormous significance. This article presents an elaborated survey on machine learning based churn prediction in telecom sector from the year 2000 to 2018. We also extracted the problems and challenges in Telecom Churn Prediction and reported suggestion and solutions. We believe this article helps the researches or data analysts in the telecom field to select optimal and appropriate methods and for designing improved novel model for churn prediction in future.
A Hybrid Convolutional Neural Network-Gradient Boosted Classifier for Vehicle Classification
Authors:   Graduate School, Technological Institute of the Philippines-Quezon City, Philippines and Department of Information Technology, Bulacan State University, Philippines, Hernandez Marlon D. , Fajardo Arnel C. ,   School of Engineering and Information Technology, Manuel L. Quezon University, Philippines, Medina Ruji P. ,   Graduate School, Technological Institute of the Philippines-Quezon City, Philippines.
Published: August 2019

Vehicle tracking and classification are used for intelligent transport system to provide data in terms of traffic management, routing, vehicle volume and others. A new approach will be introduced in this paper, a hybrid classifier that would detect vehicles that would be adaptable to Philippine settings. A combination of convolutional neural network and gradient boosted classifier would boost the classifying accuracy. In the discussion, CNN has outperformed other classifier in terms of accuracy while GBC got the highest AUROC and highest accuracy in terms of classifying. Although CNN and GBC is prone to overfitting, the dataset that will be used contains 1 hour of video.
Research Analysis on Encryption Algorithms for Cloud Authentication in Hms
Authors:   Department of Computer science, Amrita School of Arts and Sciences, Mysuru, Amrita Vishwa Vidyapeetham, India, K Ananya , Khanam Jahanara ,   Department of Computer science, Amrita School of Arts and Sciences, Mysuru, Amrita Vishwa Vidyapeetham, India, Kumar B J Santhosh ,   Department of Computer science, Amrita School of Arts and Sciences, Mysuru, Amrita Vishwa Vidyapeetham, India
Published: August 2019

With the advancement of Internet of Things, mutual sharing of data turns out to be simple among different brilliant gadgets over the globe. In such a situation, a smart health care should be accelerated with a goal to provide a secure patient’s record situated globally. In any case, as the sensitive data about a patient passes through an open channel (i.e., the Internet), there are odds of abusing this data and intercepting message communication and possibility of passive attack. These attacks are undetected and unavoidable over open channels. Thus, there is a necessity for a solid crypto system for safely handling keen human services information. To ensure that the patients' right over their own information, it is a assuring technique to scramble the information's by the time it gets re-appropriated. We are presenting a secure data retrieval scheme by comparing various algorithms that manage their attributes independently. The proposed application mainly insist on current attribute based encryption mechanism and providing compared efficiency.
Upgraded Segmentation of Histopathological Images for classification of intraductal breast lesions
Authors:   Dr.Babasaheb Ambedkar Marathwada University Aurangabad,Maharshtra India., Gaikwad Mr.Vilas Shivaji , Gawali Prof.Dr.Bharati ,   Dr.Babasaheb Ambedkar Marathwada University Aurangabad,Maharshtra India.
Published: August 2019

Cancer among women and the second most common cancer in the world is Breast Cancer(BC). This type of cancer-initiating from breast tissue, mostly from the inner region of milk ducts. The current progress in high-throughput and getting of digitized histological studies have made it possible to use histological pattern with image analysis to facilitate disease classification using computer-aided technology (CAT). The practice of analysis has become a part of the routine clinical discovery of breast cancer. In fact, CAT has become recent research subjects in the diagnostic of medical imaging and radiology. The vast increase in the capability of image acquisition and computational power in recent decades has prompted the development of several image segmentation algorithms. For the analysis of histopathological images, the automatic dissection of cell nuclei is an important stage. Its prime objective is to determine the exact location of the nuclei and boundary points of the cells. To accurately model the preference for histological structures (ducts, vessels, tumor nets, adipose, etc.). In the proposed method, additional k means clustering algorithm used for evaluating segmentation algorithms. Here demonstrate the in proposed methods over the state-of-the-art system in performance measures.
Advanced Efficient Energy Method Query Processing
Authors:   Department of CSE, Geethanjali College of  Engineering and Technology, Hyderabad, India., Srinivas Dr. K, , Reddy V Shivanarayana ,   Department of CSE, Geethanjali College of  Engineering and Technology, Hyderabad, India., Navya Bakkolla ,   Department of CSE, Geethanjali College of  Engineering and Technology, Hyderabad, India.
Published: August 2019

Web search engine are made up by countless inquiry handling nodes, i.e., web servers devoted to refine individual inquiries. Such numerous web servers eat a considerable quantity of power, mainly answerable to their CPUs, however they are essential to make certain reduced latencies, because customers anticipate sub-second action times. Nevertheless, customers can rarely discover action times that are much faster than their assumptions. For this reason, we suggest the Predictive Power Conserving Online Organizing Formula to pick one of the most suitable CPU regularity to refine a question on a per-core basis. The proposed algorithm target at procedure questions by their due dates, as well as utilize top-level organizing details to minimize the CPU power usage of an inquiry handling node. PESOS base its choice on inquiry effectiveness forecasters, approximating the handling quantity and also processing time of question. End results disclose that chosen algorithm can reduce the CPU power use of a concern taking care of node roughly ~ 48% contrasted to a system doing at maximum CPU core uniformity. The proposed technique exceeds furthermore the best sophisticated competitor with a ~ 20% power preserving, while the competing ask for a wonderful spec adjusting in addition to it could maintain in irrepressible latency offenses.
Cooperative Qos Control Scheme Based on Power Allocation and Scheduling of WDM-OWC Network
Authors:   PhD scholar Department of Electronics &  Communication Engineering at the University Institute of Technology  affiliated to Rajiv Gandhi Proudyogiki Vishvavidhyalaya Bhopal, M.P,  India., Shukla Mrs. Anjana , Saxena (Nigam) Dr. Vineeta ,   Professor and Head in Department of  Electronics & Communication Engineering at the University Institute of  Technology, Rajiv Gandhi Proudyogiki Vishvavidhyalaya Bhopal, M.P  India.
Published: August 2019

In the past two decades, transfer of data can be possible with the combination of radio frequency and optical wireless communication (OWC) system. An alternative to radio frequency and fiber optic communication system is an OWC. Optical wireless Communication network have high data rate, license free spectrum, high immune to electromagnetic interference, low power and cost of optical components used. In this paper we have designed a WDM-OWC system for a range of 800 Km. Different simulation module like power allocation and scheduling have been performed on WDM-OWC. With Power allocation in which Q-factor and output power increases, whereas BER decreases other module is scheduling of OWC and it is found that 100 GHz of frequency spacing at a wavelength of 1550 nm is the best efficient in terms of Q-factor and BER
Evaluation of Bacteriological Quality Characteristics of Drinking Waters of few Village Sources in Coastal Areas of Bhimavaram region at West Godavari District, India
Authors:   Research Scholar, Division of Chemistry, Department of Sciences and Humanities, Vignan’s Foundation for Science Technology and Research, Deemed to be University, Amaravathi, Guntur, Andhra Pradesh., India, Prasadini T. Vijaya , Srinivasu N. ,   Professor and Head of the Department, Department of Science and Humanities, Vignan’s Foundation for Sciences Technology and Research, Deemed to be University, Amaravathi, Guntur, Andhra Pradesh., India, Raju M. V. ,   Assistant Professor, Department of Civil Engineering, Vignan’s Foundation for Science Technology and Research, Deemed to be University, Amaravathi, Guntur, Andhra Pradesh., India
Published: August 2019

The essential requirement for human life to exist is water. After to the air, the other It has in various sources such as canals, ponds, rivers, lake, streams, reservoirs and etc. human settlers on the banks of major river systems at the earliest and has need water for drinking, bathing, cooking, laundering, and many more. But with the advancement of civilization the demand of water supply grately increased and now has such a stage to come that without well organized public water supply scheme, it is not possible to move the present human life and the develop the towns. Earlier has importance on quantity. And now today importance of quality comes to be recognized gradually in the later days. In this present study, numbers of water samples were collected various water supply schemes from 20 villages of bhimavaram region, West Godavari district, Andhra Pradesh. The drinking water samples are analyze its biological quality and it was found that some of the samples in the study area are exceeds or above the standard limit or permissible limit. On over all based on biological quality few drinking water sources located in and around different areas of Bhimavaram was seriously polluted by harmful bacteria and must need few treatment methods. So that need of attention not to use of supplied water and need to give suggestions and remedial measures to concerned local authorities of various disinfection treatment technologies or control measure to make supplied water free from pathogenic Bactria. Quality Assessment of drinking water from various sources (S Malhotra, S.K., Sndhu (2015), especially bacteriological quality should be periodically planned regularly to avoid and control waterborne diseases
Design and Analysis of Structural Elements of H-Frame Press
Authors:   School of Mechanical & Building Sciences, Vellore Institute of Technology, Chennai, India., Kiran Dani Prafullkrishna , Sivarajan S. ,   School of Mechanical & Building Sciences, Vellore Institute of Technology, Chennai, India.
Published: August 2019

Automobile manufacturers nowadays release new models or new variants of their vehicles in a very short span of time. As a result, for every new product, the manufacturing equipment has to be modified or updated to suit the production requirements. This leads to development of new customized manufacturing equipment for production. Thus along with the new variants, there is an increase in the fixed cost related to production due to investments in the development of the machines. To reduce fixed cost involved due to development and fabrication of the machine, it is necessary to minimize the material utilized during fabrication of the machine. Hence it is important not to overdesign the equipment with respect to strength and deformation. General practices include procedures like modifications in design of the previously used equipment to suit the new equipment followed by fabrication of the new equipment. This can lead to increase in material consumption and thus overdesign of the equipment with respect to the same. This study deals with the design and analysis of the structural elements of a press. This press is used to assemble two thrust bearing races in the motorcycles steering tubes connected to the frame of the motorcycle. The design of the machine is customized to withstand loads for the specific application. The approach of the design process is concurrent instead of iterative design. The process tackles each structural element in a way to determine the best suitable dimensions to maximize strength and minimize material, thereby optimizing the design
Lithium Battery Monitoring and Mathematically Modelling its Equation
Authors:   Electrical and Electronics Engineering, JNTUH College of Engineering Jagtial, Hyderabad, India., Anudeep Vurity , Ch. Harshith ,   Electrical and Electronics Engineering, JNTUH College of Engineering Jagtial, Hyderabad, India., Paidi Ram Kumar ,   Electrical and Electronics Engineering, JNTUH College of Engineering Jagtial, Karimnagar, India., Charan Ch. Radha ,   Electrical and Electronics Engineering, JNTUH College of Engineering Jagtial, Karimnagar, India.
Published: August 2019

Ever since people have managed to start shifting to electric vehicles, the lack of a cost-efficient battery monitoring system has been a real lack of concern for this mode of transportation. Not everyone wants to start a car after 6 months only to realize later that the battery is dead. Hence knowing the status of the battery on the back of our hand is crucial. This system will provide a steady supply of data about the status of vulnerable lithium-ion car battery which may include parameters such as the state of discharge (SOD) and state of temperature (SOT) to smartphones thereby eliminating this nuisance and also have inbuilt protection to help extend the battery life and avoid unwanted repairs which increases the maintenance costs. Using machine learning concepts like linear regressions and plotting’s. A mathematical equation was developed for the lithium battery and this equation will provide an easy calculation for above discussed parameters and reduce the circuit complexity.
Accelerated Simulated Annealing and Mutation Operator Feature Selection method for Big Data
Authors:   Department of Computer Science, IDE,University of Madras, Chennai, India, Devi D.Renuka , S Dr. Sasikala. ,   Department of Computer Science, IDE,University of Madras, Chennai, India.
Published: August 2019

The optimal feature subset selection over very high dimensional data is a vital issue. Even though the optimal features are selected, the classification of those selected features becomes a key complicated task. In order to handle these problems, a novel, Accelerated Simulated Annealing and Mutation Operator (ASAMO) feature selection algorithm is suggested in this work. For solving the classification problem, the Fuzzy Minimal Consistent Class Subset Coverage (FMCCSC) problem is introduced. In FMCCSC, consistent subset is combined with the K-Nearest Neighbour (KNN) classifier known as FMCCSC-KNN classifier. The two data sets Dorothea and Madelon from UCI machine repository are experimented for optimal feature selection and classification. The experimental results substantiate the efficiency of proposed ASAMO with FMCCSC-KNN classifier compared to Particle Swarm Optimization (PSO) and Accelerated PSO feature selection algorithms.