bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Motivators and Deterrents of Cycling Tourism Using Qualitative Social Research Methods and Participative Analytical Hierarchy Process (AHP)
Authors: Bakogiannis Efthimios , Vlastos Thanos , Athanasopoulos Konstantinos , Vassi Avgi , Christodoulopoulou Georgia , Karolemeas Christos , Tsigdinos Stefanos , Kyriakidis Charalampos , Noutsou Maria-Stella , Siti Maria , Papagerasimou-Klironomou Trisevgeni , Stroumpou Ismini , Tzika Eleftheria
Published: March 2020

Cycling tourism is an environmentally friendly way to explore a destination. Nowadays, it is becoming more and more popular worldwide, since it permits an in-depth communication both with nature and people. In this context, the aim of this paper is to explore, in detail, mainly the environmental motivators of cycling tourists, and their significance, in Greece, by using qualitative social research (in-depth interviews and focus groups) and participative analytical hierarchical process. The results show that regarding physical environment, the element which attracts cycle tourists the most is the variety of scenic views along their route. Existence of lakes, rivers and beaches were also valued. On the contrary, “Biodiversity” and “Untouched natural landscapes” were ranked low as a description of the quality of the natural environment. However, the rise of cycling tourism depends considerably on the appropriate infrastructure, namely roads with low slopes, appropriate quality of surfaces and cycling infrastructure. Planners, policy-makers, and competent authorities should give emphasis on the critical factors in order to enhance cycling tourism, thus resulting in positive multiplying effects such as environmental protection and economic growth.
Precision Irrigation Strategies for Sustainable Water Budgeting of Potato Crop in Prince Edward Island
Authors: Afzaal Hassan , Farooque Aitazaz A. , Abbas Farhat , Acharya Bishnu , Esau Travis
Published: March 2020

Climate change induced uneven patterns of rainfall emphasize the use of supplemental irrigation in rainfed agriculture. The Penman–Monteith method was used to calculate supplemental irrigation for water budgeting of a potato crop in Prince Edward Island, Canada. Cumulative gaps between rainfall and crop evapotranspiration (ETc) during August and September of the study years were due to high crop coefficient factor, justifying the need for supplemental irrigation. Pressurized irrigation systems, including sprinklers, fertigation, and drip irrigation were installed, to evaluate the impact of scheduled supplemental irrigation in offsetting deficits in irrigation water requirements in comparison with conventional practice of rainfed cultivation (control). A two-way ANOVA examined the effect of irrigation methods and year on potato tuber yield, water productivity, tuber quality, and payout. Sprinkler and fertigation systems performed better than drip and control treatments. In terms of payout returns and potato tuber quality (percentage of marketable potatoes), the sprinkler treatment performed significantly better than the other treatments. However, for water productivity, fertigation treatment performed significantly better than control and sprinkler treatments during both years. The use of supplemental irrigation is recommended for profitable cultivation of potatoes in soil, agricultural, and environmental conditions resembling to those of Prince Edward Island.
Surface Functionalization of Magnetic Nanoparticles Using a Thiol-Based Grafting-Through Approach
Authors: Biehl Philip , Schacher Felix H.
Published: March 2020

Here we describe a simple and straightforward synthesis of different multifunctional magnetic nanoparticles by using surface bound thiol-groups as transfer agents in a free radical polymerization process. The modification includes a first step of surface silanization with (3-mercaptopropyl)trimethoxysilane to obtain thiol-modified nanoparticles, which are further used as a platform for modification with a broad variety of polymers. The silanization was optimized in terms of shell thickness and particle size distribution, and the obtained materials were investigated by dynamic light scattering (DLS), thermogravimetric analysis (TGA), transmission electron microscopy (TEM), and energy-dispersive X-ray spectroscopy (EDX). Subsequently, the free radical polymerization of different monomers (tert-butyl acrylate (tBA), methyl methacrylate (MMA), styrene, 2-vinyl pyridine (2VP), and N-isopropylacrylamide (NIPAAm)) was examined in the presence of the thiol-modified nanoparticles. During the process, a covalently anchored polymeric shell was formed and the resulting core–shell hybrid materials were analyzed in terms of size (DLS, TEM), shell thickness (TGA, TEM), and the presence of functional groups (attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FT-IR)). Hereby, the shell leads to a different solution behavior of the particles and in some cases an increased stability towards acids. Moreover, we examined the influence of the nanoparticle concentration during polymerization and we found a significant influence on dispersity of the resulting polymers. Finally, we compared the characteristics of the surface bound polymer and polymer formed in solution for the case of polystyrene. The herein presented approach provides straightforward access to a wide range of core–shell nanocomposites.
Phylogenetic and Demographic Characterization of Directed HIV-1 Transmission Using Deep Sequences from High-Risk and General Population Cohorts/Groups in Uganda
Authors: Bbosa Nicholas , Ssemwanga Deogratius , Ssekagiri Alfred , Xi Xiaoyue , Mayanja Yunia , Bahemuka Ubaldo , Seeley Janet , Pillay Deenan , Abeler-Dörner Lucie , Golubchik Tanya , Fraser Christophe , Kaleebu Pontiano , Ratmann Oliver ,   on behalf of the MRC/UVRI & LSHTM Uganda Research Unit and The PANGEA Consortium
Published: March 2020

Across sub-Saharan Africa, key populations with elevated HIV-1 incidence and/or prevalence have been identified, but their contribution to disease spread remains unclear. We performed viral deep-sequence phylogenetic analyses to quantify transmission dynamics between the general population (GP), fisherfolk communities (FF), and women at high risk of infection and their clients (WHR) in central and southwestern Uganda. Between August 2014 and August 2017, 6185 HIV-1 positive individuals were enrolled in 3 GP and 10 FF communities, 3 WHR enrollment sites. A total of 2531 antiretroviral therapy (ART) naïve participants with plasma viral load >1000 copies/mL were deep-sequenced. One hundred and twenty-three transmission networks were reconstructed, including 105 phylogenetically highly supported source–recipient pairs. Only one pair involved a WHR and male participant, suggesting that improved population sampling is needed to assess empirically the role of WHR to the transmission dynamics. More transmissions were observed from the GP communities to FF communities than vice versa, with an estimated flow ratio of 1.56 (95% CrI 0.68–3.72), indicating that fishing communities on Lake Victoria are not a net source of transmission flow to neighboring communities further inland. Men contributed disproportionally to HIV-1 transmission flow regardless of age, suggesting that prevention efforts need to better aid men to engage with and stay in care.
Cloning, Prokaryotic Soluble Expression, and Analysis of Antiviral Activity of Two Novel Feline IFN-ω Proteins
Authors: Wang Xiaona , Li Fengsai , Han Meijing , Jia Shuo , Wang Li , Qiao Xinyuan , Jiang Yanping , Cui Wen , Tang Lijie , Li Yijing , Xu Yi-Gang
Published: March 2020

Cats are becoming more popular as household companions and pets, forming close relationships with humans. Although feline viral diseases can pose serious health hazards to pet cats, commercialized preventative vaccines are lacking. Interferons (IFNs), especially type I IFNs (IFN-α, IFN-β, and interferon omega (IFN-ω)), have been explored as effective therapeutic drugs against viral diseases in cats. Nevertheless, there is limited knowledge regarding feline IFN-ω (feIFN-ω), compared to IFN-α and IFN-β. In this study, we cloned the genes encoding feIFN-ωa and feIFN-ωb from cat spleen lymphocytes. Homology and phylogenetic tree analysis revealed that these two genes belonged to new subtypes of feIFN-ω. The recombinant feIFN-ωa and feIFN-ωb proteins were expressed in their soluble forms in Escherichia coli, followed by purification. Both proteins exhibited effective anti-vesicular stomatitis virus (VSV) activity in Vero, F81 (feline kidney cell), Madin–Darby bovine kidney (MDBK), Madin–Darby canine kidney (MDCK), and porcine kidney (PK-15) cells, showing broader cross-species antiviral activity than the INTERCAT IFN antiviral drug. Furthermore, the recombinant feIFN-ωa and feIFN-ωb proteins demonstrated antiviral activity against VSV, feline coronavirus (FCoV), canine parvovirus (CPV), bovine viral diarrhea virus (BVDV), and porcine epidemic diarrhea virus (PEDV), indicating better broad-spectrum antiviral activity than the INTERCAT IFN. The two novel feIFN-ω proteins (feIFN-ωa and feIFN-ωb) described in this study show promising potential to serve as effective therapeutic agents for treating viral infections in pet cats.
BONE MINERAL DENSITY AND CONCENTRATION OF BETA CROSSLAPS IN PATIENTS WITH END-STAGE CHRONIC RENAL DISEASE
Authors: Nguyen Hoang Thanh Van , Vo Tam
Published: March 2020

Background: Osteoporosis is a common complication in chronic kidney disease, with dangerous consequences such as fracture which make the disease more severe. For early detecting osteoporosis, it is important to measure bone mineral density and to assay bone turnover markers. The aims of this study were to determine the percentage of osteoporosis and osteopenia and to find an association between level of serum creatinine, level of beta-crosslaps and bone mineral density. Methods: A cross-sectional study. Measurement of BMD in patients with end-stage chronic renal disease in the department of nephrology and rheumatology, Hue central hospital from Oct 2010 to May 2011. Results: The prevalence of osteoporosis and osteopenia in end-stage chronic renal disease patients without hemodialysis is 47.37%. There is a significiantly relationship between concentration of serum creatinine, serum beta crosslaps and bone mineral density. Conclusion: The prevalence of osteoporosis and osteopenia in patients with end-stage chronic renal disease is high. There is a significantly relationship between level of serum beta-crosslaps, serum creatinine and bone mineral density.

Keyword: bone mineral density, chronic kidney disease, bone turnover, osteoporosis, bone marker, beta-crosslaps.
CLINICAL CHARACTERISTICS OF THE CHRONIC DACRYOCYSTITIS AND THE SUCCESS RATE OF EXTERNAL DACRYOCYSTORHINOSTOMY
Authors: Phan Van Nam , Tran Ba Kien
Published: March 2020

Purpose: To determine the clinical characteristics of the chronic dacryocystitis and the success rate of external dacryocystorhinostomy. Methods: The retrospective, interventional study without comparing on 27 patients (32 eyes) of chronic dacryocystitis who underwent dacryocystorhinostomy (DCR) from 2010 to 2011. Results were evaluated with standards: epiphora, purelence, lacrimal duct irrigation. Results: Over period of 6 months, 27 patients including 25 (92.59%) female, 2 (7.41%) male. The mean age was 49.8 years (range, 22-79 years). All patients demonstrated epiphera (range, 3 months – 11 years). Dacryocystorhinostomy was performed unilaterally in 81.48%, bilateral 18.52%. Successrate was 90.06% overall. Conclusions: Although techniques in dacryocystorhinostomy of DUPUY-DUTEMPS is old, its result is mainstay of treatment for chronic dacryocystitis in Vietnam.

Key words: Dupuy-Dutemps, chronic dacryocystitis
Highly Stretchable and Transparent Ionic Conductor with Novel Hydrophobicity and Extreme-Temperature Tolerance
Authors: Shi Lei , Jia Kun , Gao Yiyang , Yang Hua , Ma Yaming , Lu Shiyao , Gao Guoxin , Bu Huaitian , Lu Tongqing , Ding Shujiang
Published: March 2020

Highly stretchable and transparent ionic conducting materials have enabled new concepts of electronic devices denoted as iontronics, with a distinguishable working mechanism and performances from the conventional electronics. However, the existing ionic conducting materials can hardly bear the humidity and temperature change of our daily life, which has greatly hindered the development and real-world application of iontronics. Herein, we design an ion gel possessing unique traits of hydrophobicity, humidity insensitivity, wide working temperature range (exceeding 100°C, and the range covered our daily life temperature), high conductivity (10
-3
~10
-5
 S/cm), extensive stretchability, and high transparency, which is among the best-performing ionic conductors ever developed for flexible iontronics. Several ion gel-based iontronics have been demonstrated, including large-deformation sensors, electroluminescent devices, and ionic cables, which can serve for a long time under harsh conditions. The designed material opens new potential for the real-world application progress of iontronics.
Hydration-Enhanced Lubricating Electrospun Nanofibrous Membranes Prevent Tissue Adhesion
Authors: Cheng Liang , Wang Yi , Sun Guoming , Wen Shizhu , Deng Lianfu , Zhang Hongyu , Cui Wenguo
Published: March 2020

Lubrication is the key to efficient function of human tissues and has significant impact on the comfort level. However, the construction of a lubricating nanofibrous membrane has not been reported as yet, especially using a one-step surface modification method. Here, bioinspired by the superlubrication mechanism of articular cartilage, we successfully construct hydration-enhanced lubricating nanofibers via one-step in situ grafting of a copolymer synthesized by dopamine methacrylamide (DMA) and 2-methacryloyloxyethyl phosphorylcholine (MPC) onto electrospun polycaprolactone (PCL) nanofibers. The zwitterionic MPC structure provides the nanofiber surface with hydration lubrication behavior. The coefficient of friction (COF) of the lubricating nanofibrous membrane decreases significantly and is approximately 65% less than that of pure PCL nanofibers, which are easily worn out under friction regardless of hydration. The lubricating nanofibers, however, show favorable wear-resistance performance. Besides, they possess a strong antiadhesion ability of fibroblasts compared with pure PCL nanofibers. The cell density decreases approximately 9-fold, and the cell area decreases approximately 12 times on day 7. Furthermore, the in vivo antitendon adhesion data reveals that the lubricating nanofiber group has a significantly lower adhesion score and a better antitissue adhesion. Altogether, our developed hydration-enhanced lubricating nanofibers show promising applications in the biomedical field such as antiadhesive membranes.
Effect of RF Fields During Pulse on Rotational Diffusion: Influence on Spectral Density
Authors: Sorce Dennis J
Published: March 2020

The effect of the applied RF field in an NMR experiment on the magnitude of the Spectral Density for a Dipolar Relaxation Mechanism is demonstrated theoretically. The effect was shown with Sin Cos Pulse as a concrete example. The order of magnitude of the magnetic moment where these effects will be significant for typical Rf amplitude values was derived. The effect may be of utility in providing an alternate method of control for MRI Tissue Contrast applications with further development.
PERCEIVED SOCIAL SUPPORT DAN BREASTFEEDING SELF EFFICACY PADA IBU MENYUSUI ASI EKSKLUSIF
Authors: Safitri Maharani Galuh , Citra Ajeng Furida
Published: March 2020

Penelitian ini bertujuan untuk menguji secara empiris hubungan antara perceived social support dengan breastfeeding self-efficacy pada ibu menyusui ASI eksklusif. Penelitian ini menggunakan metode kuantitatif dengan subjek sebanyak 105 ibu menyusui ASI eksklusif di Tangerang. Penelitian ini menggunakan metode analisa korelasi product moment Pearson dan didapatkan nilai korelasi sebesar r = 0.549 (p < .01) Hal ini menandakan bahwa ada hubungan positif yang sangat signifikan antara perceived social support dengan breastfeeding self-efficacy pada ibu menyusui ASI eksklusif. Dimana semakin tinggi tingkat perceived social support yang diterima maka semakin tinggi pula tingkat breastfeeding self-efficacy pada ibu menyusui ASI eksklusif, sebaliknya semakin rendah tingkat perceived social support yang diterima maka semakin rendah pula tingkat breastfeeding self-efficacy pada ibu menyusui ASI eksklusif.
PERBEDAAN BURNOT PADA KARYAWAN DITINJAU DARI MASA KERJA
Authors: Putri Lalitha Augusta Zahwa , Zulkaida Anita , Rosmasuri Puti Anggraeni
Published: March 2020

Burnout menggambarkan kondisi karyawan yang mengalami kelelahan kerja yang berlebihan, dan masa kerja menjadi salah faktor timbulnya burnout. Tujuan penelitian ini untuk menguji perbedaan burnout ditinjau dari masa kerja. Responden dalam penelitian ini adalah 108 karyawan. Pengujian hipotesis menggunakan teknik analisis One Way Anova. Hasil penelitian menunjukkan bahwa secara umum terdapat perbedaan burnout pada karyawan secara sangat signifikan ditinjau dari masa kerja. Berdasarkan data kelompok diketahui bahwa perbedaan burnout yang sangat signifikan terjadi pada karyawan dengan masa kerja 0-5 tahun dengan 6-10 tahun dan 0-5 tahun dengan lebih dari 10 tahun. Adapun pada karyawan dengan masa kerja 6-10 tahun dan lebih dari 10 tahun terdapat perbedaan yang tidak signifikan. Artinya hipotesis dalam penelitian ini diterima.
IDENTIFIKASI TELUR RETAK MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BERDASARKAN TEKSTUR TELUR
Authors: Bun Kelvin , Hurnaningsih
Published: March 2020

Telur ayam merupakan salah satu panganan pokok yang di konsumsi semua masyarakat. Telur juga memliki banyak kandungan yang bermanfaat bagi kesehatan tubuh, kandungan pada putih telur mengandung protein, karbohidrat, kalori dan kalsium dan kandungan kuning telur mengandung lebih banyak vitamin, mineral, dan zat karetonoid. Untuk memenuhi kebutuhan konsumsi akan telur maka para penjual maupun peternak telur harus memberikan kualitas telur yang baik. Kualitas telur biasanya diidentifikasi dari warna kulit dan permukaan yang tidak pecah. Namun dengan adanya perkembangan teknologi pengamatan untuk identifikasi dapat dilakukan dengan bantuan komputer sehingga dapat lebih memudahkan. Oleh karena itu, pada penelitian ini dibuat suatu aplikasi untuk mengidentifikasi telur retak dan telur tidak retak dengan bantuan komputer yang memanfaatkan pengolahan citra dan metode jaringan syaraf tiruan. Untuk menentukan telur retak dan telur tidak retak dengan komputer, ada beberapa tahap proses yang dilakukkan yaitu pengambilan citra, pengolahan citra, menganalisis nilai citra dan melakukkan pelatihan data citra. Penelitian ini menggunakan perangkat lunak MATLAB 2017a untuk pemrograman. Berdasarkan uji coba yang dilakukan, aplikasi ini memiliki tingkat akurasi 80% berdasarkan 40 data yang telah diuji dengan epoch 5000 dan performance 0.03.
Problems Faced b y Post Graduate Students During t he Research Process
Authors:   University Tun Hussein Onn Malaysia, Parit Raja 86400, Batu Pahat, Johor, Malaysia., Sumarwati* Sri , Amiruddin Mohd Hasril ,   Senior lecturer Department of Enginnering Education, Faculty of Technical & Vocational, Universiti Tun Hussein Onn Malaysia., Ibrahim Badaruddin ,   Associate professor, Department of Engineering Education, Faculty of Technical & Vocational, University Tun Hussein Onn Malaysia.
Published: March 2020

In order to graduate and obtain a master's degree or doctorate, a post-graduate student must conduct research process. The post-graduate research process has challenged many students and some students leave the course for a certain period while others failed to complete their research. This study was conducted to explore the major problems faced by post-graduate students in Malaysia to conduct a research. The researchers used qualitative research design using a semi-structured interview method. The instrument of this study is the interview protocol. Interview participants were selected using the purposive sampling method. The participants in this study were 31 people consist of twelve Master Degree and ten PhD students who failed to complete their studies in the social science field in public universities in Malaysia. In addition, the participants also consist of supervisors who have had experience in supervising post-graduate students for over 10 years ie nine Professors. Data from participants were analyzed using inductive thematic analysis. Based on the results of the qualitative study, it has been found that there are six common factors related to the problems faced by post-graduate students in Malaysia during the research processes such as knowledge, personal problems, personality, management, thinking and reading. Besides, this study found that the effects of the problems faced by post-graduate students during the research process that is of no interest, no focus, stress, running out of ideas, do not achieve the desired targets, ongoing concerns, loss of commitment, slow in complete the research and failed to complete the study.
Job Specifications during the Era of Disruption and Industry 4.0
Authors:   Departement of Home Economics, Universitas Pendidikan Indonesia, Bandung, Indonesia, A.* Ana, , A. Ismail, ,   Department of Engineering Education, Universiti Tun Hussein Onn Malaysia, Malaysia., I. Kustiawan ,   Departement of Electrical Engineering Education, Universitas Pendidikan Indonesia, Bandung, Indonesia,, D. Meirawan ,   Departement of Civil Engineering Education, Universitas Pendidikan Indonesia, Bandung, Indonesia., E. Nugraha ,   Computer Sciences Department, Universitas Pendidikan Indonesia, Bandung, Indonesia.
Published: March 2020

This research synthesizes study findings about job specifications in the era of disruption and industry 4.0. Industrial revolution 4.0 era, based on digital technology, artificial intelligence, robotics, and automation, changes the type of jobs in the workforce to keep accelerating and unpredictable. The journals studied are from 2015 to 2019. This research focuses on the problem of job specifications in the era of disruption and industry 4.0 era in Taiwan. Revolution industry 4.0 brought more significant changes to all aspects, including education. The assessment and comparison of education management in Taiwan has led to the industry 4.0. Besides analyzing the types of jobs and competencies that graduates must have in accordance with industry 4.0 demands, this research also discusses job specifications that will still exist and new competencies that must be developed in order to face industry 4.0 in Taiwan. Vocational education as an education that creates job-ready graduates, must be ready to face industry 4.0. Therefore, this research discusses the ways in how to anticipate this problem. The research method used in this research uses literature review by analyzing journals related to job specifications and industry 4.0 competence. Based on several studies that have been carried out, the types of jobs that will still survive and the types of new jobs that will exist to face industry 4.0 can be classified, as preparation for the development of vocational education.
Design and Fabrication of an Automatic Water Hyacinth Removal and Prevention Machine
Authors:   Department of Mechanical Engineering, KL(Deemed to be University),Vijayawada, India., Kumar* G. Deepak , Sreecharan B. Ananth ,   Department of Mechanical Engineering, KL(Deemed to be University),Vijayawada, India., Kiran T. Sai ,   Department of Mechanical Engineering, KL(Deemed to be University),Vijayawada, India., Sandeep S. S. Sai ,   Department of Mechanical Engineering, KL(Deemed to be University),Vijayawada, India., S Mouli. ,   Department of Mechanical Engineering, KL(Deemed to be University),Vijayawada, India.
Published: March 2020

Water Hyacinth scientifically called as Eichhornia Crassipes has been a problem throughout the entire world in terms of water pollution and flow of water. In any country, continuous flow of water in its water bodies is always necessary in order to drain wastewater and supply water to all the places of the country. Out of the four major methods present to drain water Hyacinth, Mechanical and Biological removal of the plant are the most effective methods. The aim of this project is to design and develop a water Hyacinth removal and prevention machine which can effective collect the aquatic weeds, shred them in large quantities and prevent them from growing again. The major components used in the development of this machine are ramp cutters, guide vanes, propellers, boat base, chain drive, storage tank and a motor.
Utilisation of Seasand as Partial Replacement of Fine Aggregrate to Strengthen the Concrete
Authors:   Assistant Professor, St. Joseph’s College of Engineering, Chennai, India., Ruthra R. , Manisha K. ,   Assistant Professor, St. Joseph’s Institute of Technology, Chennai, India., Dharsiha G. ,   PG student, Tagore Engineering College, Chennai, India.
Published: March 2020

Concrete is an important construction material widely used in the construction industry nowadays. It is blended material consisting of cement, fine aggregate, coarse aggregate and water. Generally the use of river sand as fine aggregate in our country is very widespread in industry. This paper mainly focuses on the study of strength properties of concrete in which river sand is replaced with sea sand as fine aggregate. In addition to it, Quarry Dust when added gains strength. Different mix proportions was replaced partially in 5%, 10%, 15% by Sea sand and Quarry dust. The strength of concrete for various mix proportions are carried out and tested for 14, 28, 56 days of curing. From the results obtained, with the replacement of river sand by sea sand along with well graded quarry dust upto to 15% increases the strength of concrete.
Analytical Design o f t he D IS Architecture: The Hybrid Model
Authors:   Research scholar, Bharathiar University, Coimbatore, Nayak Mahesh S , Hanumanthappa Dr. M. ,   Professor, Department of Computer Science & Applications, Bangalore University, Bangalore., Prakash *Dr. B R ,   Assistant Professor, Department of Computer Science, Government First Grade College, Tiptur, Karnataka., H V Dattasmita ,   ICT Manager. Tumakuru Smart City Limited, Tumakuru, Karnataka, India
Published: March 2020

In the last decades, and due to emergence of Internet appliance, there is a strategical increase in the usage of data which had a high impact on the storage and mining technologies. It is also observed that the scientific/research field’s produces the zig-zag structure of data viz., structured, semi-structured, and unstructured data. Comparably, processing of such data is relatively increased due to rugged requirements. There are sustainable technologies to address the challenges and to expedite scalable services via effective physical infrastructure (in terms of mining), smart networking solutions, and useful software approaches. Indeed, the Cloud computing aims at data-intensive computing, by facilitating scalable processing of huge data. But still, the problem remains unaddressed with reference to huge data and conversely the data is growing exponentially faster. At this juncture, the recommendable algorithm is, the well-known model i.e., MapReduce, to compress the huge and voluminous data. Conceptualization of any problem with the current model is, less fault-tolerant and reliability, which may be surmounted by Hadoop architecture. On Contrary case, Hadoop is fault tolerant, and has the high throughput which is recommendable for applications having huge volume of data sets, file system requiring the streaming access. The paper examines and unravels, what efficient architectural/design changes are necessary to bring the benefits of the Everest model, HBase algorithm, and the existing MR algorithms.
Smart Attendance Notification System using SMTP with Face Recognition
Authors:   Assistant Professor in Dept of Information Technology, Anurag Group of Institutions, Hyderabad, India., Goud B. Pruthvi Raj , Reddy S. Sravan ,   Assistant Professor in Dept of Information Technology, Anurag Group of Institutions, Hyderabad, India., Kumar K. Praveen ,   Assistant Professor in Dept of Information Technology, Anurag Group of Institutions, Hyderabad, India.
Published: March 2020

Till today attendance marking is manual event for many educational bodies. It is a mandatory, common and important activity in day to day life of a faculty member. Manual attendances maintaining is bit difficult process, time consuming effort while doing analysis or report generations on it. Few automated systems are developed to overcome those complexities. Still there are so many drawbacks like cost effective, fake generation, accuracy. To overcome these initiations, there is a need of innovative a smart and automated attendance system. This paper exactly focused on producing a secure attendance marking system which is based upon one of the human gesture as Face. There are two stages to implement the approach. One is face detection using Haar classifier. Second one is face recognition using LHBP classifiers which is generated from trained faces.The proposed system is going to record the attendance of the people who are present in a classroom environment autonomously and this is an easiest way to produce the analysis and proof oriented approach makes as reliable applications.
Solution for the Problems in RADAR Systems from SNR Gain Expressions and Blackout Likelihood Detection for Aviation Systems
Authors:   ECE department, Kongu Engineering College, Perundurai, India., Kasthuri* Dr. N. , Yuvashree S. ,   ECE department, Kongu Engineering College, Perundurai, India.
Published: March 2020

Issues confronted in Radar frameworks at SDSC are, It is exceptionally troublesome for them to track an flying machine and discover its point, run and rise. With the existing ACSs, being incapable to provide the required information capacity. Since this misfortune of communication takes put between the ground station to the discuss station, discuss crashes may happen. Thus to dodge these kind of issues, modern proposed framework is defined. The full Duplex and Half Duplex systems can be combined to form a Hybrid Duplex Systems (HBD-ACS). In the existing Half duplex system, there was a crux in the spectrum mainly in the aeronautical industry. Hence the new HBD-ACS in proposed which eliminates the progressive interference. Progressive interference detector includes two methods namely, expressions of SNR gain and blackout probability. The Full duplex system may consists of the leftover interference. Hence to eliminate this, Interference Ignorant detector and SIC detector are used. Hence from the HBD-ACS, the diversity gain will be non-zero and the interference can be limited.
Art of Single Step Analytical Analysis for Springback Formation in “U” Bending Forming Process
Authors:   Research Scholar, Department of Mechanical Engineering, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur, Tamilnadu, India, Saravanan* S. , Saravanan M. ,   Senior Professor, Department of Mechanical Engineering, Ponjesly College of Engineering, Nagercoil, Tamilnadu, India.., Jeyasimman D. ,   Associate Professor, Department of Mechanical Engineering, PeriyarManiammai Institute of Science &Technology,Vallam, Thanjavur, Tamilnadu, India, Vidhya S. ,   UG Student, Department of Mechanical Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India, Vairavel M. ,   Research Scholar, Department of Mechanical Engineering and Science, Vels University, Pallavaram, Tamilnadu, India
Published: March 2020

The formation of the quality of sheet metal had been influenced through spring-back. The exact forecast and directing bouncing were significant. So that the tools are designed for the establishment of sheet metal. Numerous methods had been forecasted for bouncing recompense through alteration of the outline of the tooling. This approach was iterative FEM. In these papers, a systematic method was offered for single-step alteration of the outline of the tooling in channel establishment procedure to recompense the bouncing error. In a limited moment, the outline of the target could be attained through the optimal outline of the die. This establishment is based on these approaches. The set of rules of bouncing recompense through reverse FEM is also summarized. The consequences of the systematic method overlap through those of FEM. The exactness of the attained results was proved through the consequences of the experiment. So that there is the attainment of high exactness.
Reduction of Harmonics Cause of Inrush Current for Transformer
Authors:   Principal, OM Institute of Engineering & Technology, Junagadh, India., Paghadar* Dr. Hitesh V.
Published: March 2020

Due to the impact of inrush current of transformer, made a voltage drop by source impedance as well as by sensitive loads. That’s why, necessary action is required to reduce the inrush current. Many factors like, secondary winding load, material of transformer core, Saturation flux/residual flux of transformer core, capacity of transformer, supply impedance, voltage-starting phase angle, are affecting the inrush current of transformer. Some different types of methods for inrush current reduction are listed in this paper. Out of that, sequential switching method is adopted for the reduction inrush current.
Novel Security Mechanism against D D o S Attack in Mobile Wireless Sensor Network
Authors:   Research Scholar, School of Computer Science Engineering, Carrier Point University, Kota, Rajasthan, India., Baka* Kanchan , Thakur Dr. Pawan ,   Professor and head of school of Computer Science Engineering, Govt. PG College, HPTU University, Dharmshala, India.
Published: March 2020

In modern time, Mobile Wireless Sensor Networks (MWSN) technology has gained tremendous popularity and is widely used in various applications. MWSN is a temporary network designed for a specific purpose. The dynamic nature of these networks makes them more usable in different fields. The autonomous systems of these wireless mobile nodes can be established anytime, anywhere. However, due to its high mobility, lack of centralized authority and the nature of open media, MWSN is more vulnerable to a variety of security threats and hence more vulnerable to security issues than traditional Wireless Sensor Networks (WSN). MWNs are extremely vulnerable to various types of threats, which will greatly reduce network performance in different situations. In this article, we first provide the general description about MWSN along with its component used and then reviewed the well-known work done by various researchers to detect distributed denial-of-service attack (DDoS). The review thoroughly identified different aspects of the proposed methodology. In addition, we also provide comparative analysis of various analyzed parameters that are examined to determine the effectiveness of the designed protection network against DDoS attack.
Analysis of Concrete Made from Natural and Recycled Aggregate from Hardened Concrete
Authors:   Assistant Professor, KIET Group of Institutions, Delhi-NCR, Ghaziabad., Karim Yasir , Khan Saif A ,   Assistant Professor, KIET Group of Institutions, Delhi-NCR, Ghaziabad., Sharma D. K. ,   Dean Academics, MIET Group of Institutions, Meerut, Gautam Ravindra ,   Associate Professor, KIET Group of Institutions, Delhi-NCR, Ghaziabad., Singh Sanjeev ,   Professor, KIET Group of Institutions, Delhi-NCR, Ghaziabad.
Published: March 2020

Detoriation of environment and depletion of natural resources is a major concern of the hour. Concrete not being an environmental pro material, a lot of work needs to be done on its sustainability parameters. Because of infrastructural growth to cater population needs, huge quantities of concrete are required. Since we all know that aggregates form around 75% of concrete volume, the quantities of aggregate required for the production of such huge quantities of concrete is immense. Hence a sustainable solution for the alternative of aggregate is urgently required to fulfill the shortage of aggregates. Keeping in mind the above problem the present work aims at finding a probable solution for utilizing the recycled aggregate obtained from destruction of hardened concrete. Since literature review suggested the poor performance of the concrete produced from recycled aggregate but did not give the best optimum situation in which it can be used. So the study was carried out on six different mixes containing natural aggregates and recycled aggregate for three different grades of concrete and both fresh and hardened properties of concrete was studied. No admixture was used for making concrete in any of the mixes. The comparative study showed that if recycled coarse aggregate is used with stone dust it gives better result and Total fines if used with natural coarse aggregate gives better result.
Performance on Buoyancy Driven Flow in Square Duct Fitted with Twisted Strip
Authors:   Professor, Mechanical Engineering Department Dr.Babasaheb Ambedkar College of Engineering Nagpur, India., Prayagi Dr. Sunil V. , Mungle Dr. Nischal P. ,   Assistant Professor, Mechanical Engineering Department, Dr.Babasaheb Ambedkar College of Engineering, Nagpur, India, P Dr. Mahendra ,   Nimkar Assistant Professor, Mechanical Engineering Department, Dr.Babasaheb Ambedkar College of Engineering, Nagpur, India
Published: March 2020

This experimental investigation aims to study the effect of inlet fluid on flow and heat transfer characteristics for buoyancy driven flow in square tube fitted with twisted strips. Twist pitch, heat supply, inclination of the tube and Inlet fluid temperature were changed during experimentation. The study revealed that with increase in pitch the percentage enhancement in heat transfer coefficient decreases. With decrease in the pitch the flow rate decreases. Moreover with increase in inlet fluid temperature both heat transfer coefficient and flow rate tends to decrease. Perhaps it is due to higher heat loss at the tube surface which results in reduction in Rayleigh number.
A Three Stage Botnet Detection Technique using Random and Obrazom Graph s
Authors:   Associate Professor, Dept of Computer Science, Govt Arts College (Autonomous), Salem, Akilandeswari Dr. K. , Basha Mr.G. Anwar ,   an independent researcher with 10 years of teaching experience., Baranivel Mr.L. ,   pursuing MCA, M.Tech, research at VIT, Vellore.
Published: March 2020

This paper proposes three-stage botnet detection technique based on the anomaly and community detection. The first stage is a pragmatic node based distributed approach of sparse graph sequences. The second stage detects the bot from sparse matrix and correlations of interactions among the node. In the third stage, random graph is evaluating the performance of the bots and verified with both odd and even types of nodes. The same is extended and verified through Obrazom triple connected graphs. This verification is helpful to identify the aggressive bots through the optimized pivotal nodes. Machine Learning based Botnet Detection techniques are implemented in various levels like centralized and distributed level of networks. We can apply this three-stage bot detection in large-scale data.
Simultaneous Placements of TCSC and VSCDG for Congestion Management
Authors:   Associate Professor, Dept. of EEE, Sreenidhi Institute of Science and Technology-Ghatkesar, Hyderabad, India., Ramesh* Dr. G. , Babu Dr. V. Ranjith ,   Associate Professor, Dept. of EEE, Sreenidhi Institute of Science and Technology - Ghatkesar, Hyderabad, India., Kannan Dr. K. ,   Associate Professor , Dept. of EEE, Sreenidhi Institute of Science and Technology - Ghatkesar, Hyderabad, India.
Published: March 2020

Relieving congestion is a major technical issue in power transmission systems. In this paper, simultaneous placement of Thyristor controlled series capacitors (TCSC) and Voltage source converter based distribution generators (VSC-DG) are used for relieving congestion, minimize system cost and maintain the system in secure state. The system has been analyzed in three stages: (i) first stage, the congestions are made in different transmission network by overload and line outages, (ii) second stage, relieving congestion of transmission lines by using TCSC and VSCDG, where these devices are placed simultaneously at their optimal locations, (iii) comparative cost analysis is done between normal and congested systems. The proposed approach is tested on the 62-bus Indian power system network. The optimal solution of the test systems are obtained by genetic algorithm method and its solutions are compared with primal linear programming. All the results are validated through Power World Simulator and GA toolbox in MATLAB.
Systematic Methods on Machine Learning Techniques for Clinical Predictive Modelling
Authors:   Assistant Professor, Department of Statistics, Periyar University, Salem, TamilNadu, India, Radhika* Dr. A. , Priya G. ,   Research Scholar Department of Statistics, Periyar University, Salem, TamilNadu, India
Published: March 2020

Predictive modelling is a mathematical technique which uses Statistics for prediction, due to the rapid growth of data over the cloud system, data mining plays a significant role. Here, the term data mining is a way of extracting knowledge from huge data sources where it’s increasing the attention in the field of medical application. Specifically, to analyse and extract the knowledge from both known and unknown patterns for effective medical diagnosis, treatment, management, prognosis, monitoring and screening process. But the historical medical data might include noisy, missing, inconsistent, imbalanced and high dimensional data.. This kind of data inconvenience lead to severe bias in predictive modelling and decreased the data mining approach performances. The various pre-processing and machine learning methods and models such as Supervised Learning, Unsupervised Learning and Reinforcement Learning in recent literature has been proposed. Hence the present research focuses on review and analyses the various model, algorithm and machine learning technique for clinical predictive modelling to obtain high performance results from numerous medical data which relates to the patients of multiple diseases.
Efficient Temporal-key Based Encryption Mechanism for WSN-ETEM
Authors:   Research Scholar, Department Electronics & Communication, Dr. AIT, Bengaluru, Karnataka, India., MN* Premakumar , S Dr. Ramesh ,   Professor and Head, Department of Electronics & Communication Engineering, Dr. AIT, Bengaluru, Karnataka, India
Published: March 2020

Wireless sensor networks (WSNs) are a promising technology for several industrial real-time and quotidian applications. Due to inherent limitations in WSN, security is a crucial issue. Cryptographic primitives are the fundamental components for designing security protocols to achieve security and privacy in WSN. Based on the review, it has been analyzed that the majority of security protocols for WSN are based on encryption and key distribution. The main open issue for these approaches concerns the establishment of security with an involvement of complex procedure, which presents considerable memory overheads, in contrast with the limited resources of sensor nodes. Therefore, the proposed work presents the modeling of an analytical approach for efficient encryption using temporal key management for robust security services to resists potential attacks and enables secure communication. The utilization of temporal-key mechanism in encryption operation offers additional support to routing operation in the network for secure data transmission with negligible computational overhead, thus preserving a higher level of energy savings in packet transmission operation. The validation of the proposed system performance is carried out a simulation study, which shows the effectiveness of the proposed system in terms of node remaining energy and processing time.
Improved LZW Compression Technique using Difference Method
Authors:   Department of Computer Science & Engineering, Government College of Engineering & Textile Technology Berhampore, WB, India., Barman* Dibyendu , Ahamed Md Bakash ,   Department of Computer Science & Engineering, Government College of Engineering & Textile Technology Berhampore, WB, India.
Published: March 2020

This work attempts to give a best approach for selecting one of the popular image compression algorithm. The proposed method is designed to find the best performance approach amongst the several compression algorithms. In this work existing lossless compression technique LZW (Lempel-Ziv-Welch) is redesigned to achieve better compression ratio. LZW compression technique works on the basis of repetition of data. In a situation where all the values are distinct or repetition of data does not present the LZW can’t work properly. To avoid this problem, difference method called difference matrix method which is actually calculate the difference between two consequence data and store it in a resultant matrix is used. In this case the matrix contains repetitive data which is more effective compared to LZW technique. Another problem of LZW is dictionary overflow, because of LZW works on ASCII character there is a limit of 256 dictionary length initially. In this work dynamic dictionary method is used without using the ASCII rather than this static method. As a result, this dictionary can contain the initial value anything in a range of -256 to 255. Here ASCII values are not used because the proposed method is applicable grayscale image, where the pixel values are between in range 0 to 255. Using these two changes the proposed improved LZW method becomes more powerful that can compress a non-repetitive set of data significantly. The proposed method is applied on many standard gray images found in the literature achieved 7% to 18% more compression the normal LZW keeping quality of the image same as existing.
Adaptive Neuro-fuzzy Inference System Based Short Term Wind Speed Forecasting
Authors:   Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., Vanitha* V. , Mary D.Magdalin ,   Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., Jasmine G.Sophia ,   Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., Balagopalan Akhil ,   Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, India.
Published: March 2020

Due to the stochastic nature of wind speed, accurate wind power prediction plays a major challenge to power system operators for unit commitment and load dispatching. To predict wind power production with great accuracy, wind speed forecasting in different time horizons is gaining importance nowadays. This paper explores the application of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to forecast the wind speed in Logan international airport, USA for one year in every one hour time interval. ANFIS with different structures and membership functions are trained to find out the best model to do short term wind forecasting. Simulation with the best model is performed in MATLAB and the results show that the three input model with wind speed, direction and air pressure as inputs using Gaussian bell membership function provides the smallest errors.