bluuebunny/crossref_metadata_2025 huggingface dataset:
Potential Fields in Fluid Mechanics: A Review of Two Classical Approaches and Related Recent Advances
Authors: Scholle Markus , Marner Florian , Gaskell Philip H.
Published: April 2020

The use of potential fields in fluid dynamics is retraced, ranging from classical potential theory to recent developments in this evergreen research field. The focus is centred on two major approaches and their advancements: (i) the Clebsch transformation and (ii) the classical complex variable method utilising Airy’s stress function, which can be generalised to a first integral methodology based on the introduction of a tensor potential and parallels drawn with Maxwell’s theory. Basic questions relating to the existence and gauge freedoms of the potential fields and the satisfaction of the boundary conditions required for closure are addressed; with respect to (i), the properties of self-adjointness and Galilean invariance are of particular interest. The application and use of both approaches is explored through the solution of four purposely selected problems; three of which are tractable analytically, the fourth requiring a numerical solution. In all cases, the results obtained are found to be in excellent agreement with corresponding solutions available in the open literature.
Web-Based Tool for the Development of Intensity Duration Frequency Curves under Changing Climate at Gauged and Ungauged Locations
Authors: Schardong Andre , Simonovic Slobodan P. , Gaur Abhishek , Sandink Dan
Published: April 2020

Rainfall Intensity–Duration–Frequency (IDF) curves are among the most essential datasets used in water resources management across the globe. Traditionally, they are derived from observations of historical rainfall, under the assumption of stationarity. Change of climatic conditions makes use of historical data for development of IDFs for the future unreliable, and in some cases, may lead to underestimated infrastructure designs. The IDF_CC tool is designed to assist water professionals and engineers in producing IDF estimates under changing climatic conditions. The latest version of the tool (Version 4) provides updated IDF curve estimates for gauged locations (rainfall monitoring stations) and ungauged sites using a new gridded dataset of IDF curves for the land mass of Canada. The tool has been developed using web-based technologies and takes the form of a decision support system (DSS). The main modifications and improvements between version 1 and the latest version of the IDF_CC tool include: (i) introduction of the Generalized Extreme value (GEV) distribution; (ii) updated equidistant matching algorithm (QM); (iii) gridded IDF curves dataset for ungauged location and (iv) updated Climate Models.
Suppress Numerical Oscillations in Transient Mixed Flow Simulations with a Modified HLL Solver
Authors: Mao Zhonghao , Guan Guanghua , Yang Zhonghua
Published: April 2020

Transition between free-surface and pressurized flows is a crucial phenomenon in many hydraulic systems. During simulation of such phenomenon, severe numerical oscillations may appear behind filling-bores, causing unphysical pressure variations and computation failure. This paper reviews existing oscillation-suppressing methods, while only one of them can obtain a stable result under a realistic acoustic wave speed. We derive a new oscillation-suppressing method with first-order accuracy. This simple method contains two parameters, Pa and Pb, and their values can be determined easily. It can sufficiently suppress numerical oscillations under an acoustic wave speed of 1000 ms−1. Good agreement is found between simulation results and analytical results or experimental data. This paper can help readers to choose an appropriate oscillation-suppressing method for numerical simulations of flow regime transition under a realistic acoustic wave speed.
Decision-Making Tools to Manage the Microbiology of Drinking Water Distribution Systems
Authors: Carpitella Silvia , Del Olmo Gonzalo , Izquierdo Joaquín , Husband Stewart , Boxall Joby , Douterelo Isabel
Published: April 2020

This paper uses a two-fold multi-criteria decision-making (MCDM) approach applied for the first time to the field of microbial management of drinking water distribution systems (DWDS). Specifically, the decision-making trial and evaluation laboratory (DEMATEL) was applied removing the need for reliance on expert judgement, and analysed interdependencies among water quality parameters and microbiological characteristics of DWDS composed of different pipe materials. In addition, the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) ranked the most common bacteria identified during trials in a DWDS according to their relative abundance while managing vagueness affecting the measurements. The novel integrated approach presented and proven here for an initial real world data set provides new insights in the interdependence of environmental conditions and microbial populations. Specifically, the application shows as the bacteria having associated the most significant microbial impact may not be the most abundant. This offers the potential for integrated management strategies to promote favourable microbial conditions to help safeguard drinking water quality.
Escherichia coli Antimicrobial Resistance Variability in Water Runoff and Soil from a Remnant Native Prairie, an Improved Pasture, and a Cultivated Agricultural Watershed
Authors: Mukherjee Maitreyee , Gentry Terry , Mjelde Heidi , Brooks John , Harmel Daren , Gregory Lucas , Wagner Kevin
Published: April 2020

Although many previous studies have examined patterns of antimicrobial resistance (AMR) and multidrug resistance (MDR) from domestic animals and farm environments, comparatively little is known about the environmental sources and natural reservoirs of AMR and MDR. In this study, we collected stormwater runoff and soil samples from three watersheds in Texas. Escherichia coli (E. coli) were enumerated, isolated, and analyzed for resistance patterns. E. coli from all sites, irrespective of land use, displayed the presence of AMR/MDR. Higher levels of AMR/MDR were observed in water compared to soil. More isolates were resistant to cephalothin than other antibiotics. For water isolates, 94% was resistant to cephalothin, 27% to tetracycline, and 15% to ampicillin. Across all sites, a large percentage of water isolates demonstrated MDR with 34% resistant to ≥2 antibiotics and 11% to ≥3 antibiotics. All AMR soil isolates were resistant to cephalothin (87% of the total soil isolates), but only 8.9% were MDR. High cephalothin resistance observed in both soil and water suggests the presence of native, cephalothin-resistant E. coli. Higher MDR observed within water compared to the soil populations suggests that resistance sources other than soil, such as more recent fecal depositions as opposed to residual AMR in soil, could have contributed to higher antibiotic-resistant E. coli in runoff.
Sewage Sludge Thermal Treatment Technology Selection by Utilizing the Analytical Hierarchy Process
Authors: Đurđević Dinko , Trstenjak Maja , Hulenić Ivona
Published: April 2020

Sewage sludge management has gained significance in the last several years, due to its nutrient and energy content. However, technology selection is one of the greater challenges because it is not possible to implement a technology that covers all the requirements of the considered environments. Consequently, this paper shows an example of the utilization of an analytical hierarchy process, as a decision-making tool in terms of technology selection, for sewage sludge management in Rijeka, Croatia. The criteria structuring and evaluation process with the description of several possible alternatives for thermal treatment technologies are defined within this research. For the case of Rijeka, the best and most suitable technology for sewage sludge treatment is gasification, which coincides with the results obtained from the analysis of the literature review. According to the results in this paper, the possibilities of the use of this scientific method on the national level for the selection of sewage sludge treatment technology should be considered, due to the simplicity of its use and capability of its adaptation to various situations and areas.
Characteristics of a Debris Flow Disaster and Its Mitigation Countermeasures in Zechawa Gully, Jiuzhaigou Valley, China
Authors: Gong Xing-Long , Chen Kun-Ting , Chen Xiao-Qing , You Yong , Chen Jian-Gang , Zhao Wan-Yu , Lang Jie
Published: April 2020

On 8 August 2017, an Ms 7.0 earthquake struck Jiuzhaigou Valley, triggering abundant landslides and providing a huge source of material for potential debris flows. After the earthquake debris flows were triggered by heavy rainfall, causing traffic disruption and serious property losses. This study aims to describe the debris flow events in Zechawa Gully, calculate the peak discharges of the debris flows, characterize the debris flow disasters, propose mitigation countermeasures to control these disasters and analyse the effectiveness of countermeasures that were implemented in May 2019. The results showed the following: (1) The frequency of the debris flows in Zechawa Gully with small- and medium-scale will increase due to the influence of the Ms 7.0 Jiuzhaigou earthquake. (2) An accurate debris flow peak discharge can be obtained by comparing the calculated results of four different methods. (3) The failure of a check dam in the channel had an amplification effect on the peak discharge, resulting in a destructive debris flow event on 4 August 2016. Due to the disaster risk posed by dam failure, both blocking and deposit stopping measures should be adopted for debris flow mitigation. (4) Optimized engineering countermeasures with blocking and deposit stopping measures were proposed and implemented in May 2019 based on the debris flow disaster characteristics of Zechawa Gully, and the reconstructed engineering projects were effective in controlling a post-earthquake debris flow disaster on 21 June 2019.
Application of Composite Pre-Polymerized Coagulants for the Treatment of High-Strength Industrial Wastewaters
Authors: Tolkou Athanasia K. , Zouboulis Anastasios I.
Published: April 2020

The aim of this study was the investigation of alternative pre-polymerized coagulants for the treatment of high-strength industrial wastewaters, such as those created by tanneries, or by yeast production industries. The novel inorganic composite coagulant examined in this study (as well as variations of it) was denoted as PSiFAC1.5-10-15. The contribution of a typical polyelectrolyte to improve the effectiveness of the coagulation/flocculation (C/F) process was additionally studied, either by adding it separately (i.e., as a flocculant aid) or by co-polymerizing it within the structure of inorganic coagulant (denoted as PAPEFAC1.5-10-15). It was found that the PSiFAC1.5:10:15 coagulant, either with or without the addition of polyelectrolyte, can provide better efficiency for the C/F process than the conventional coagulants. For example, the addition of 80 mg Al/L in yeast production wastewater samples resulted in a 56% reduction of COD, 40% of turbidity, and 43% of phosphates, regarding the pre-treated anaerobically wastewater samples and reduced by an extra 22%, 14%, and 38% for the pre-treated anaerobically plus aerobically wastewater samples, respectively. The residual aluminum concentration in the treated wastewaters was found to be below the legislation limit of 200 μg Al/L. The characterization of coagulants showed the relatively higher Al13 content of 51% and 43% for the cases of PSiFAC1.5-10-15 and PAPEFAC1.5-10-15, respectively, accompanied by the high zeta-potential measurements (50.5 and 39.5 mV).
Treatment of Winery Wastewater with a Multistage Constructed Wetland System for Irrigation Reuse
Authors: Milani Mirco , Consoli Simona , Marzo Alessia , Pino Alessandra , Randazzo Cinzia , Barbagallo Salvatore , Cirelli Giuseppe Luigi
Published: April 2020

This paper reports a study on the performance of a multistage constructed wetland (CW) system adopted for winery wastewater and on the analysis of its suitability for irrigation reuse. The CW system treats about 3 m3·day−1 of wastewater produced by a small winery located in Sicily (insular Italy). Wastewater samples were collected at the CW inlet and outlet for physical–chemical and microbiological quality characterization. CW efficiency was evaluated on the basis of water quality improvement and of the achievement of Italian and EU irrigation reuse regulation limits. The CW system showed Chemical Oxygen Demand (COD) and Total Suspended Solids (TSS) mean removal rates of about 81% and 69%, and a maximum removal of about 99% (for both COD and TSS) occurred during grape harvest phase. The CW removal efficiencies for nutrients were 56% for TN and 38% for PO4-P, considering their low average concentrations at CW inlet. The CW system evidenced an effluent average quality compatible with the limits imposed by the Italian regulation and EU proposal regulation on the minimum requirement for water reuse. The CW vegetated area showed regular growth and vegetative development; phytotoxicity phenomena were not detected. The results of the study suggest the important role of CW systems in the treatment of winery wastewater and for their subsequent reuse in agriculture.
Electrodialytic Hydrogen Production and Critical Raw Materials Recovery from Secondary Resources
Authors: Almeida Joana , Magro Cátia , Mateus Eduardo P. , Ribeiro Alexandra B.
Published: April 2020

Electrodialytic technologies are defined as treatment processes that promote the removal/recovery of substances in a matrix, based on the application of low-level current intensities. Additionally, along these processes hydrogen is self-generated, allowing them to operationally produce clean energy. This energy carrier is produced due to electrolysis reactions occurring at the cathode end of the electrodialytic reactor, when using inert electrodes. Herein, hydrogen production during the electrodialytic treatment of sewage sludge and mining residues suspensions (coupled with effluent or sewage sludge), at 50 and 100 mA, was assessed. During the electrodialytic treatment of sewage sludge, hydrogen purity production achieved 33%. When effluent or sewage sludge were used as enhancements in mining residues suspensions, hydrogen purity reached 71% and 34%, respectively. Furthermore, a proton-exchange membrane fuel cell was connected to the cathode compartment of the electrodialytic reactor. The electrical energy generated from self-hydrogen produced at 100 mA achieved ≈1 V in all performed experiments. Simultaneously, critical raw materials extraction, namely phosphorus and tungsten, was evaluated. When the process was applied to mining residue suspensions combined with sewage sludge, the highest extraction ratio of phosphorus (71%) and tungsten (62%) was observed.
A Self-Contained and Automated Method for Flood Hazard Maps Prediction in Urban Areas
Authors: Sinagra Marco , Nasello Carmelo , Tucciarelli Tullio , Barbetta Silvia , Massari Christian , Moramarco Tommaso
Published: April 2020

Water depths and velocities predicted inside urban areas during severe storms are traditionally the final result of a chain of hydrologic and hydraulic models. The use of a single model embedding all the components of the rainfall–runoff transformation, including the flux concentration in the river network, can reduce the subjectivity and, as a consequence, the final uncertainty of the computed water depths and velocities. In the model construction, a crucial issue is the management of the topographic data. The information given by a Digital Elevation Model (DEM) available on a regular grid, as well as all the other elevation data provided by single points or contour lines, allow the creation of a Triangulated Irregular Network (TIN) based unstructured digital terrain model, which provides the spatial discretization for both the hydraulic and the hydrologic models. The procedure is split into four steps: (1) correction of the elevation z* measured in the nodes of a preliminary network connecting the edges with all the DEM cell centers; (2) the selection of a suitable hydrographic network where at least one edge of each node has a strictly descending elevation, (3) the generation of the computational mesh, whose edges include all the edges of the hydrographic network and also other lines following internal boundaries provided by roads or other infrastructures, and (4) the estimation of the elevation of the nodes of the computational mesh. A suitable rainfall–runoff transformation model is finally applied to each cell of the identified computational mesh. The proposed methodology is applied to the Sovara stream basin, in central Italy, for two flood events—one is used for parameter calibration and the other one for validation purpose. The comparison between the simulated and the observed flooded areas for the validation flood event shows a good reconstruction of the urban flooding.
Investigations of past climate and sea-ice variability in the fjord area by Station Nord, eastern North Greenland
Authors: Nørgaard-Pedersen Niels , Ribeiro Sofia , Mikkelsen Naja , Limoges Audrey , Seidenkrantz Marit-Solveig
Published: April 2020

The marine record of the Independence–Danmark fjord system extending out to the Wandel Hav in eastern North Greenland (Fig. 1A) is little known due to the almost perennial sea-ice cover, which makes the region inaccessible for research vessels (Nørgaard-Pedersen et al. 2008), and only a few depth measurements have been conducted in the area. In 2015, the Villum Research Station, a new logistic base for scientific investigations, was opened at Station Nord. In contrast to the early exploration of the region, it is now possible to observe and track the seasonal character and changes of ice in the fjord system and the Arctic Ocean through remote sensing by satellite radar systems. Satellite data going back to the early 1980s show that the outer part of the Independence–Danmark fjord system is characterised by perennial sea ice whereas both the southern part of the fjord system and an area 20–30 km west of Station Nord are partly ice free during late summer (Fig. 1B). Hence, marine-orientated field work can be conducted from the sea ice using snow mobiles, and by drilling through the ice to reach the underlying water and sea bottom.
HUBUNGAN DUKUNGAN KELUARGA DAN DUKUNGAN TEMAN SEBAYA DENGAN KUALITAS HIDUP ANAK PENYANDANG THALASEMIA MAYOR DI RSUD KABUPATEN SUMEDANG
Authors: Lusiani Lilis
Published: April 2020

Thalasemia mayor merupakan penyakit kronis terbanyak pada anak di Indonesia. Anak penyandang thalasemia mayor memerlukan transfusi darah dan pengobatan yang terus menerus agar dapat mempertahankan pertumbuhan yang normal. Akibat penyakit dan pengobatan yang terus menerus menimbulkan dampak terhadap anak,  baik secara fisik, psikologis maupun sosial yang berpengaruh terhadap kualitas hidupnya. Kualitas hidup anak penyandang thalasemia mayor dipengaruhi oleh berbagai faktor, baik eksternal maupun internal. Tujuan penelitian ini menganalisis hubungan dukungan keluarga dan dukungan teman sebaya dengan kualitas hidup penyandang thalasemia mayor usia sekolah di RSUD Kabupaten Sumedang.

Desain penelitian ini adalah analitik korelasional dengan pendekatan cross sectional. Populasi pada penelitian ini adalah penyandang thalasemia usia sekolah. Sampel penelitian berjumlah 55 orang yang diambil dengan teknik total sampling. Pengumpulan data kualitas hidup anak menggunakan instrumen PedsQL generic core scale. Faktor-faktor yang diteliti adalah dukungan keluarga dan dukungan teman sebaya. Data dianalisis secara bivariat dengan menggunakan Uji Korelasi Pearson.

Hasil penelitian menunjukkan rerata kualitas hidup penyandang thalasemia mayor usia sekolah sebesar 66,54+12,85. Terdapat hubungan yang bermakna antara kualitas hidup dengan dukungan keluarga (p=0,004, α=0,05) dan dukungan teman sebaya (p=0,000,α=0,05). Kesimpulan penelitian ini bahwa faktor dukungan keluarga dan dukungan teman sebaya merupakan faktor yang berhubungan dengan kualitas hidup anak penyandang thalasemia mayor usia sekolah. Berdasarkan hasil penelitian tersebut implikasi keperawatan yang dapat diterapkan adalah dengan mengoptimalkan dukungan keluarga dan teman sebaya.
Harita Mühendisleri Özelinde Mühendislik Etiği Ölçeğinin Geçerlilik ve Güvenirlik Analizi Üzerine Bir Çalışma
Authors: İNAM Şaban , AKDENİZ H.burak
Published: April 2020

Bu çalışma harita mühendislerinin meslek etiği eğilimlerini belirlemek için oluşturulan mühendislik etiği ölçeğinin geliştirilmesi, geçerlilik ve güvenirliğinin değerlendirilmesi amacıyla planlanmıştır. Bu çalışmanın örneklemini, İç Anadolu bölgesinde görev yapan ve ankete gönüllü olarak katılan 88 harita mühendisi oluşturmuştur. Verilerin analizinde; sayı/yüzde, ölçeğin iç tutarlılık katsayısı, madde toplam puan korelasyon katsayısı, test tekrar test güvenirliliği ve açıklayıcı – doğrulayıcı faktör analizi yöntemleri kullanılmıştır. Mühendislik Etiği Ölçeği, 21 maddeden ve 2 alt ölçekten oluşmaktadır. Kaiser Meyer-Olkin değerinin (0.864) 0.50’nin üstünde olması nedeniyle, örneklem büyüklüğünün faktör analizi yapmaya uygun olduğu anlaşılmıştır. Açıklayıcı faktör analizi sonucunda 2 alt ölçeğin, toplam varyansın %56.44’ünü açıkladığı bulunmuştur. Tüm ölçeğin Cronbach α güvenirlik katsayısı 0.926’dır. Madde toplam puan korelasyonları ise 0.182-0.829 arasında değer almaktadır (p<0.001). Ölçeğin test tekrar test sonuçları 0.859 olarak bulunmuştur. Toplam faktör yükleri hem açıklayıcı hem de doğrulayıcı faktör analizlerinde 0.30’dan büyük çıkmıştır. Doğrulayıcı faktör analizinde; GFI ile NFI’nın >0.80, CFI’nın >0.90 ve RMSEA’nın <0.08 olduğu bulunmuştur. Ölçeğin yapı geçerliği ile ilgili faktör analizi sonuçları, verilerin modelle uyumlu olduğunu; iki faktörlü yapıyı doğruladığını, ölçeğin madde ve alt boyutlarının ölçekle ilişkili olduğunu, her bir alt boyuttaki maddelerin kendi faktörünü yeterli olarak tanımladığını göstermiştir. Bu çalışma, mühendislik etiği ölçeğinin geçerli ve güvenilir olduğunu göstermiştir. Bu sonuçlar, geliştirilen ölçeğin Türkiye’nin tüm bölgelerinde görev yapan harita mühendisleri ve harita mühendisliği bölümlerinde lisans/lisansüstü öğrenim gören öğrencilerin mesleki etik araştırmalarında başarıyla kullanılabileceğini göstermiştir.
Bazı Özel Matrisler ve Kombinasyonel Özdeşlikler
Authors: OĞLAKKAYA Fatma Sidre , SOLAK Süleyman
Published: April 2020

Bu çalışma, Fibonacci, Pascal, Stirling ve Bell sayıları gibi özel sayı dizilerini tanıtmak, bu sayı dizilerinin elemanları kullanılarak oluşturulan matrisleri tanımlamak ve bu matrisler arasındaki bazı kombinasyonel özdeşlikleri araştırmak için yapılmıştır.
IMPLEMENTASI MODEL PEMBELAJARAN JIGSAW UNTUK MELATIH BERPIKIR KRITIS SISWA DALAM UPAYA MEMBANGUN KARAKTER PESERTA DIDIK
Authors: Haliza Wida
Published: April 2020

Abstrak : Pada materi pelajaran Sejarah banyak konsep – konsep Sejarah yang sulit untuk dipahami siswa pada usia anak sekolah menengah atas. Pembelajaran sejarah merupakan pembelajaran nilai yang berbasis pada human activity di masa lalu. Diantara tujuan pembelajaran sejarah, satu di antaranya adalah terbentuknya kebiasaan berpikir kritis terhadap proses kehidupan dalam lingkup berbangsa dan bernegara. Kemampuan berpikir kritis akhirnya akan bermuara pada terbentuknya karakter peserta didik. Untuk membentuk kebiasaan berpikir kritis maka diperlukan setidaknya dua langkah penting. Pertama, materi sejarah yang disajikan adalah materi yang berorientasi pada nilai sehingga peserta didik dapat menjadikannya sebagai panduan dalam bersikap, sebagai bahan analisis untuk berpikir cerdas dan sebagai dasar tindakan dalam kehidupan sehari-hari. Kedua, dalam mengajarkan materi sejarah diperlukan strategi yang mengedepankan empat atribut berpikir kritis sebagai proses. Pembelajaran kooperatif adalah model pembelajaran yang dirancang untuk membelajarkan kecakapan akademik (academic skill), sekaligus keterampilan sosial (social skill) termasuk interpersonal skill. Metode pembelajaran Jigsaw merupakan pembelajaran yang memberikan kesempatan kepada peserta didik untuk mengembangkan keahlian dalam menyelesaikan persoalan tertentu sehingga membuat peserta didik untuk berpikir kritis.
O Espaço da Beira da Praia, a Criança e a Produção de uma Ordem
Authors: Souza Thiago Silva de , Hecktheuer Luiz Felipe Alcantara , Rigo Luiz Carlos
Published: April 2020

O ensaio aborda a beira da praia do Cassino (Rio Grande-RS) a partir de cartas extraídas de um jornal local. Metodologicamente, operamos com a noção foucaultiana de problematização e objetivamos: problematizar esse espaço e as práticas que aí acontecem a partir do que é colocado como problema para nós e do que corresponde às problematizações que sobre o tema tem se desenvolvido. A Educação Física é pensada na ação que seus profissionais podem exercer frente a determinadas questões implicando numa abertura que possibilite pensar de outros modos, práticas e espaços educativos.  Agrupamos o que foi possível ser produzido em dois platôs: em um, relacionado à estrutura, localizamos investimentos visando organizar a beira da praia, de modo a planejar, ordenar e controlar o que ali ocorre. Para isto foram abordados ordenamentos como leis, projetos de zoneamento, resoluções; b) em outro, relacionado à condição existencial produzimos perguntas que apontassem para “modos de existência”, resistindo aos julgamentos e a polêmica. Como principal resultado alcançado destacamos a demonstação de um exercício de pensamento que conecta práticas de lazer e o espaço da beira da praia como uma heterotopia produtiva de práticas educativas.
T1 and T2 Mri Brain Images Registration and Fusion Technique
Authors:   Computer Science and Engineering Department, BMS Institute of Technology and Management, Bangalore, India., Dixit Sunanda , V. Mahesh B ,   Tata consultancy Services, Bangalore, India, V Suma. ,   Information Science and Engineering department, Dayananda Sagar College of Engineering,Bangalore, India
Published: April 2020

Fusion of the medical images and registering them will improve the diagnosis and treatment for brain pathology. Image registration plays a major role because multimodal images intensity levels are to be aligned based on relationship between the images. Image registration is proposed where T1 image is a target image where T2 is registering image. Optical flow with SIFT is applied to register T2 image. The registered T2 image is fused with T1 image by applying curvelet transformation and averaging method. Entropy and Mutual Information (MI) parameter is used to evaluate the system performance. The results of the system give better entropy and MI value.
New Technique of Applying Ultrasonic Frequency on Drilling Chemical Treated Glass
Authors:   Advanced Manufacturing Center, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 D. Tunggal, Melaka, Malaysia., Izamshah* R. , Firdauz A. R. ,   Royal Malaysian Police Technical College, Batu 6, Jalan Bakri, 84200 Muar, Johor, Malaysia, Kasim M.S. ,   Advanced Manufacturing Center, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 D. Tunggal, Melaka, Malaysia., Aziz M.S.A ,   Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 D. Tunggal, Melaka, Malaysia., Rafiq M. ,   Advanced Manufacturing Center, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 D. Tunggal, Melaka, Malaysia.
Published: April 2020

The usage of chemical treated toughened glass has steadily increased especially for electronic panel display devices. Due to the ion-exchange process throughout the surface treatment phase has create six to eight times tougher and crack resistance as compare to normal float glass. Owing to these, the subsequent manufacturing process such as conventional drilling is almost impossible for this toughened glass. Considering these fact, in this paper feasibility study on the effectiveness of applying ultrasonic frequency during the drilling process toward holes’ quality were investigated. Sets of experimental investigation of ultrasonic assisted drilling with varying speed and feed rate were performed to evaluate the burr formation and the generated thrust force magnitude. From the experimental results, it was found that the areas of burr formation and the thrust force magnitude were dependent with the drilling parameter. It also can be noted that the present of the ultrasonic vibration show significant improvement on the holes’ performance. By incorporating the drilling process with an ultrasonic vibration able to decreases the magnitude of thrust force and increases the effectiveness of chip evacuation process due to the intermittent cutting process. The outcome from this work serve as a basis for advancing the technology related to micro machining of chemical treated toughened glass.
Deflection on Diaphragm Wall Because of Site Condition, Soil Condition, Construction Technique & Seismic Load
Authors:   Civil Engineering department, Sankalchand Patel University, Visnagar, India., Suthar* Mr Aakash Rajesh Kumar , Patel Dr Y S ,   Civil Engineering department, Sankalchand Patel University, Visnagar, India.
Published: April 2020

Urbanization in recent day has more impact on usage on usage of land for different purposes. Underground soil has the possibility to collapse due to its varying characteristics and can cause problems in underground construction. Diaphragm wall is a perfect solution for this problem as it provides support to collapsible soil and also it can help in constructing the underground structures like subway, parking etc. But diaphragm wall can also undergo deflection caused by various reason like seismic effect, constraints due to site condition, soil condition, construction technique. Analysis were done on diaphragm wall under critical condition in terms of soil characteristics, loading and construction technique and has been analyzed using finite element analysis software and other numerical software. Here review work has done regarding research work of some authors who has worked on are deflection of diaphragm wall due to variety of reason.
Brain Computer Interface Signals Classification for Right and Left Hands Imagined Movements
Authors:   Computer Science, Mangalore University, Mangalore, Karnataka, India, Rafi* Mohammad , D.H Dr. Manjaiah ,   Computer Science, Mangalore University, Mangalore, Karnataka, India.
Published: April 2020

Brain signals are complex and nonstationary, each signal represents an intendent behavior of a user. Brain Computer Interfaces (BCIs) are used to extract and translate these signals. Electroencephalography (EEG) is the common method used for this purpose. Identifying which signal represents which action is important. In this paper, we extracted spatial and spectral patterns for right and left hands imagined movements from EEG signals. We considered only C3 and C4 bipolar channels and band frequency (8-30 Hz) for both alpha and beta. The relevant features classified using Support Vector Machine (SVM) and 9 other common classifiers to compare and contrast classification performances. To ensure classification performance we calculated confusion matrix classes for all 9 subjects from II b dataset. Classification accuracy observed and recorded from all classifiers and 9 subjects. The highest classification accuracy scores for 3 subjects S4, S8 and S9 are (100 %, 89 %, and 71 %) and misclassification scores are (0 %, 11% and 29 %) respectively.
Water-Electricity-Light System: Technology Innovations
Authors:   Department of Electronics Engineering, Ateneo de Manila University, Philippines/ BS Electrical Engineering, Mapua Institute of Technology, Philippines., Cabacungan Paul M. , Tangonan Gregory ,   Ph.D., Department of Applied Physics/ M.S. Physics, California Institute of Technology, USA/ B.S. Physics, Ateneo de Manila University, Philippines., Cabacungan Nerissa G. ,   M.A., Department of Counseling Psychology, Ateneo de Manila University, Philippines.
Published: April 2020

This paper presents the design of the Water-Electricity-Light System (WELS) that is an integration of technologies composed of rain catcher, mechanical filter and UV irradiation, solar panel, charge converter, LED light, inverter and car battery. We traced back its development from a bulky and expensive system that was meant to generate drinking water into a more innovative water cleaning system that integrated lighting and cellphone charging. We tracked the improvements applied to the system to make the design more efficient yet simple enough to be replicated and customized in order to address varied needs. We shared the alterations made to the system components based on installation experiences in different contexts. We also explored ways to lower its cost and to make its power storage more durable. Initial results are shared in this paper. Having seen its usefulness and realized its successful implementation on the ground, we are proposing the pre-positioning of WELS to promote disaster resilience in a community level. We based this assertion on the review of all documentations done and feedback gathered from our ten-year experience of more than 140 WELS installations all over the Philippines.
Predicting Cardiovascular Disease as a Long-Term Diabetes Complication using SOM
Authors:   Associate Professor, Department of CSE, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India., Rajathi* K. , Jeyarani R. Asmetha ,   Assistant Professor, Department of CSE, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India., Christiana K. Blessing ,   Assistant Professor, Department Deparment of IT, New Prince Shri Bhavani College of Engineering & Technology, Chennai, India., Vahini Ms VIjaya ,   Department of CSE, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India.
Published: April 2020

Cardiovascular disease (CVD) is the most common serious of long term type2 diabetic’s mellitus. It is estimated that most of the T2DM patients causes death due to CVD. Around 90% of CVD can be prevented with proper prediction of diabetes. Type 2 diabetes mellitus begins with insulin resistance, a condition in which it fails to respond to insulin properly. This paper explores Hybrid Wavelet Neural Network to train the system to learn the pattern to predict the disease and Self Organized map method is used for information clustering and visualization of excessive dimensional records to predict the disease with less parameter high accuracy which can help to prevent the disease. Modified Teaching Learning Based Optimization algorithm achieves the optimized learning from the pertained network. Teaching and learning based optimized technique yield better accuracy with a dataset of 770 patients. The measure of accuracy is compared with other algorithms and it is analyzed for further ratification.
A Sublime Technique to Solve DNA-Repair Model
Authors:   Department of Applied Mathematics, Gautam Buddha University, Greater Noida, India., Arya* Mohit , Ujlayan* Amit ,   Department of Applied Mathematics, Gautam Buddha University, Greater Noida, India., Yadav Mohit ,   School of Biotechnology, Gautam Buddha University, Greater Noida, India.
Published: April 2020

Deoxyribonucleic acid (DNA) is an essential macromolecule for all known varieties of life and its damage is a life-threatening structure. The DNA double-strand breaks (DSBs) are considered as one of the most rigorous kinds of DNA damage and an error in its repairing mechanism stimulates cancer and also causes lethality in cells with various genetic disorders. In this article, we have exhibited a numerical solution of an ordinary differential equation based biological model to overcome the error for estimating the average number of DSBs per cell time. This model is called DNA repair Model (DRM) and to solve this model a Modified Adomian decomposition method with new polynomials (MADMNP) is applied. The convergence of the aforesaid method is established and the order of error is also dissertated. To solve DRM, this method provides an improved scheme to estimate the average number of DSBs per cell time in comparison to Adomain decomposition method (ADM) and Laplace ADM with Pad`e approximation (LADM-Pad`e). In this respect, a comparison table and a two-dimensional comparison graph are provided by considering a numerical example.
Memory Arbitration in DDR3
Authors:   Department of Electronics and Communication Engineering at National Engineering College , Tamil Nadu, India., Vijayalakshmi* S. V. , Apsara A. ,   Department of Electronics and Communication Engineering at National Engineering College , Tamil Nadu, India., Preetha K. ,   Department of Electronics and Communication Engineering at National Engineering College , Tamil Nadu, India., Cammillus S. ,   Assistant professor, Department of Electronics and Communication Engineering at National Engineering College , Tamil Nadu, India.
Published: April 2020

Modern applications need expeditious, speed parallel processing elements with desired output within the stipulated time. As sundry applications increase demands expeditious processing, low power consumption, truncated deadlock of recollection. Hence, memory deadlock, memory starvation, and allocation of memory for genuine-time applications are the real challenges of the desired real world. The work fixates on abbreviated power consumption, deadlock for the inputs onto the output.DVFS (Dynamic Voltage and Frequency Shifting) and CoC (Cloud of chips) are acclimated to abbreviate the deadlock and to utilize the recollection efficaciously for input onto output. The results show the potency consumption as truncated compared to the antecedent results.
Impact of Demographics and Personality traits on Regret level of Investors: Determinants of Regret Aversion Bias
Authors:   Research Scholar, B. K. School of Business Management, Gujarat University, Ahmedabad-Gujarat, India., Gondaliya* Janvi , Brahmbhatt* Dr. Mamta ,   Associate Professor, B. K. School of Business Management, Gujarat University, Ahmedabad-Gujarat, India.
Published: April 2020

Given study had investigated impact of six demographic variables and Personality trait variables (Agreeableness, Openness, Conscientiousness, Emotional Stability and Extraversion ) on emotional bias- Regret aversion. Ten Item personality trait model (Gosling, Rentfrow, & Jr., 2003) had used to measure personality traits. Based on work of (POMPIAN, 2006) regret aversion bias had measured. Data has been collected through Questionnaire from 585 respondents. Respondents who have knowledge of financial products, financial experts and investors had selected for filling the questionnaire. Logistic regression model had used to find out relationship between personality traits & regret aversion bias while chi- square method had used to find out relationship between demographic variables and regret aversion bias (Jr., Black, Babin, & Anderson, 2014). It was found that regret aversion bias had negative relationship with Agreeableness, Emotional stability and positive relationship with openness to experience.
Alumni Info-Com with Distinct Classification of Data using Support Vector Machine Algorithm
Authors:   Assistant Professor, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India., Sasikumar* R. , Haritha B. ,   UG Students, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India., Vincy T. Borshiya ,   UG Students, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India., Kamali M. ,   UG Students, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India., Priya S. Deva ,   Assistant Professor, Department of Computer Science and Engineering, SRM TRP Engineering College, Tiruchirappalli, Tamil Nadu, India.
Published: April 2020

This paper presents to create a centralized alumni network for betterment of institutions and upcoming student’s community. The System is able to collect and store alumni information for future communication. Former students of institution can communicate with their immediate friends as well as forthcoming students and various members involved in the institution community. Apart from the alumni, the institutions/organization also benefitted when sustains this network. This single system can satisfy almost every requirement of the alumni. Usually, alumni associations are organized in colleges, but may also be organized in a place where the alumni can meet each other. Despite the fact that there are many existing systems in colleges to maintain the alumni information, they are manual and more time consuming to current students to reach out their alumni and maintaining the privacy of the alumni. To overcome these issues, we proposed a web based application which allows alumni to update their information and students can connect with them and can view the filtered events posted by alumni and admin through Support Vector Machine algorithm (SVM). Proposed method, SVM algorithm used to classify the alumni members and their posting message from others in this community.
An Area Efficient Wallace Tree Multiplier using Modified Full Adder
Authors:   Department of Electronics and Communication Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India., M*. Abdul Bari , M. Baskaran ,   Department of Electronics and Communication Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India., Nandini B. Siva ,   Assistant Professor, Department of Electronics and Communication Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India.
Published: April 2020

Multipliers play a significant task in digital signal processing applications and application-specific integrated circuits. Wallace tree multipliers provide a high-speed multiplication process with an area-efficient strategy. It is realized in hardware using full adders and half adders. The optimization of adders can further improve the performance of multipliers. Wallace tree multiplier with modified full adder using NAND gate is proposed to achieve reduced silicon area, high speed and low power consumption. The conventional full adder implemented by XOR, AND, OR gates is replaced by the modified full adder realized using NAND gate. The proposed Wallace tree multiplier includes 544 transistors, while the conventional Wallace tree multiplier has 584 transistors for 4-bit multiplication.
An Intuitive Platform for Implementing Cloud Brokerage Architecture using Aggregate Algorithm
Authors:   CSE department, SRM Institute of Science and Technology, Chennai, India., Ramya* Mrs. K. , Pavan M. L. V. S. H. ,   CSE department, SRM Institute of Science and Technology, Chennai, India., Avinash D. ,   CSE department, SRM Institute of Science and Technology, Chennai, India., Bhargav T. J. ,   CSE department, SRM Institute of Science and Technology, Chennai, India.
Published: April 2020

Distributed computing comprehensively grasped appreciation to the high business deftness it affirmations to its customers. Cloud administrations arrangement in the commercial center is an essential undertaking for both cloud purchaser and cloud supplier for the most part if the cloud customer asks explicit properties for its applications. In this way, this endeavor is assigned to a third part which is the cloud go-between. The proposed framework a cloud asset merchant is suggested that will oversee the task of supplier's assets to shopper progressively. The proposed agent utilizes different prerequisites and limitations determined by the purchaser in the necessity portrayal format as contribution, to ascertain accumulated necessities, utilizing a conglomeration calculation. Further, the administration booking calculation is characterized to discover an enhanced match between the accumulated prerequisites with the supplier's contributions. From that point, this calculation is executed as often as possible, in light of a technique for dynamic booking to profit customers by virtue of presentation of new supplier or some great contributions Results demonstrate that the arrangement gave by intermediary ends up being a success win circumstance for the shopper regarding cost just as execution .We propose a monetarily roused remuneration way to deal with increment the granularity and utility of held calculation and capacity administrations. The structure supports dynamically settled virtualization with intensely adaptable resource limits for fine-grained assistant, common and vertical-spatial flexibility.
Mobile Banking Adoption in the Millennial Customers: a Revised UTAUT Model
Authors:   Assistant Professor, GITAM Institute of Management GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh. India,, Pratima* Dr. Merugu , Babu Dr. G. N. P. V. ,   Assistant Professor, GITAM Institute of Management, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India.
Published: April 2020

Purpose-The paper aims at exploring the factors affecting intention to adopt and use mobile banking service apps in the generation Y customers’ by applying a revised unified theory of acceptance and use of technology (UTAUT) model. Research Design/methodology-The proposed model was empirically tested using a well-structured questionnaire and was further analyzed using structural equation model (SEM). Findings –The results of SEM suggest that performance expectancy, efforts expectancy, social influence, trust and reliability, security and facilitating conditions have a significant effect on shaping customers’ attitude and intention to adopt and use mobile banking services. Research limitations/implications –Limitations were found in the selected sample, the study was limited to respondents from a single selected city, and respondents from other cities were not included. In addition, results from this study may not be generalized to the whole population of millennials . Practical implications –This research identifies the factors that affect the intention to adopt mobile banking among the Generation Z users in Visakhapatnam city. Banking institutions can use the findings to develop competitive marketing strategies and services not only to attract potential customer and but to retain existing users customer value Originality/value – The outcome of this study will provide a better insight into the factors influencing intention and adoption of mobile banking service among users in a developing country in India, where the concept of mobile banking quickly gaining momentum.
Gig Economy in India: State of Contract Workers in it Industry
Authors:   Department of Management, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam India., S*. Sobhit
Published: April 2020

the most acknowledged use of contract workers. The use of contract workers has helped organizations to save money; it has also helped organizations to become more flexible & adaptive. The present research was conducted to understand how the contributions made by contract employees are valued across the IT sector and to know the favorability of existing employment practices. Another objective was to analyze how much effectively has the organizations tried to use the contract employees and whether the contract employees are satisfied or not with the existing functioning parameters like feedback mechanisms and opportunities to improve their career graph. The study is basically about understanding how the contract employees are being utilized in the IT sector. The purpose of understanding this is because IT sector is one which surely has lot more temporary or non-permanent jobs than any other sectors. So managing that requires more understanding of the prospects needs and wants. Deep insights and strategies can be derived if the employer gets to know what the prospects are looking for. This enhances the employability prospects as well, thereby ensuring more pool to choose from and satisfied & committed workforce. A cross sectional survey was conducted to study IT contract employees. Based on the responses of contract employees across the IT sector analysis was made to understand about the satisfaction levels of the employers’ activities and whether those enriched the working conditions and work patterns etc.