bluuebunny/crossref_metadata_2025 huggingface dataset:
Flex-Work and Work-Life Balance: Effects of Role Conflicts and Work-Life Support Organizational Culture
Authors: Weerasinghe T D , Jayawardana A K L
Published: January 2020

Although the direct effect of flex-work on work-life balance is well documented, previous theoretical explanations and empirical findings related to the relationship have been inconsistent. Thereby, drawing on the job border theory, the role accumulation theory and the human ecology theory, the current study attempts to examine the effect of flex-work on work-life balance by exploring the mediating effect of role conflicts, and the moderating effect of organizational culture. The study was quantitative, and a cross-sectional survey design was followed. The data was collected through a structured questionnaire. The convenience sampling technique was used to select the sample, and the final sample consisted of 450 flex-workers from nine IT companies in Sri Lanka. The data was analyzed using Structural Equation Modelling (SEM) with the aid of AMOS. It was found that flex-work is significantly related to role conflicts, which in turn has an impact on work-life balance. Further, role conflict is found to be a partial mediator, and work-life support organizational culture to be a significant moderator. Finally, it is concluded that though flex-work creates role conflicts which hinder work-life balance, employees could achieve a better balance between work and life in an organizational culture that supports work-life balance. The study makes a major theoretical contribution by addressing the inadequacy of the job border theory in explaining flex-work. The study supports the argument that flex-workers are not border crossers, but rather that they have no borders, and concludes that an organizational culture that supports work-life balance must be considered when explaining the effect of flex-work on work-life balance. It is suggested that managers and practitioners establish such a culture before introducing flex-work to employees.
Does board structure improve financial reporting quality? Evidence of real earnings manipulation among Pakistani firms
Authors: Shah Syed Farhan , Rashid Abdul , Shahzad Faisal
Published: January 2020

The purpose of this study was to understand organizational change initiated in the public sector of Pakistan. This study investigated the case of reform initiative of Computerized driving licensing authority (CDLA) of Khyber Pakhtunkhwa Traffic Police (KPTP). Keeping in view the research questions, an in-depth study was conducted through the interpretivist research philosophy. Thirty semi-structured interviews were conducted from the top, middle and lower management (including permanent staff and project staff). Moreover, the secondary source of information was also used. For data analysis purpose, thematic networking technique was adopted as it helps in summarizing the whole set of information and also in presenting the codes in a simplified manner. Findings of the study show that change was planned and implemented in isolation from the internal stakeholders. Neither planned nor emergent change approach was adopted. New Public Management (NPM) features were evident, however, they were not planned properly. Moreover, the reasons for change, types and approach to change, causes of resistance to change, issues in implementation, the outcome of organizational change, and the role of technocrats were also identified. This study contributes theoretically by adding into the body of knowledge from the developing country perspective as well as by studying change in an autocratic system of police.
Keywords: Organizational change, public sector reforms, thematic networks, new public management, qualitative methodology.
Aytül Akal’ın çocuk kitaplarının eğitsel iletiler açısından incelenmesi
Authors: TEKİN Abdullah , BÜYÜKİKİZ Kadir Kaan
Published: January 2020

Özet
Bu araştırmanın amacı, Aytül Akal’ın çocuk kitaplarını eğitsel iletiler açısından incelemektir. Araştırmanın yöntemi nitel araştırma yöntemlerinden doküman (belge) incelemesidir. Araştırmada örneklem seçiminde rastgele örneklem yöntemi kullanılmıştır. Bu çalışmada Aytül Akal’ın 8 masal, 8 öykü ve 8 roman kitabı rastgele örneklem metoduyla seçilmiştir. Belirlenen yapıtlar doküman incelemesi ilkeleri doğrultusunda eğitsel iletileri, bu iletilerin sunuluş biçimleri ve amaçları bakımından sınıflandırılmıştır. İncelenen kitaplarda tespit edilen eğitsel iletiler sunuluş biçimlerine göre “Doğrudan Aktarılan İletiler (Açık İletiler)”ve “Dolaylı Yoldan Aktarılan İletiler (Örtük İletiler)” şeklinde sınıflandırılmıştır. Sunuluş biçimlerine göre dolaylı/doğrudan aktarılan iletiler şeklinde tasnif edilen iletiler amaçlarına göre ise 1.Kişisel Gelişimi Destekleyen Eğitsel İletiler, 2.Toplumsal Gelişimi Destekleyen Eğitsel İletiler, 3.Ulusal Düşüncenin Gelişimini Destekleyen Eğitsel İletiler, 4.Çevre Bilinci Gelişimini Destekleyen Eğitsel İletiler, 5. Evrensel Düşüncenin Gelişimini Destekleyen Eğitsel İletiler biçiminde gruplandırılmıştır. Aytül Akal’ın incelenen 24 kitabının cümle ve paragraflarında toplam 230 eğitsel ileti tespit edilmiştir. Bu iletilerden 181’i örtük ileti olup dolaylı aktarım yoluyla okuyucuya aktarılmıştır. Tespit edilen iletilerden 49’u ise açık ileti olup doğrudan aktarım yoluyla okuyucuya aktarılmıştır. Yazarın kitaplarında en çok tespit edilen eğitsel ileti grubu “Kişisel Gelişimi Destekleyen Eğitsel İletiler”dir. Söz konusu kitaplarda en az tespit edilen eğitsel ileti grubu ise “Ulusal Düşüncenin Gelişimini Destekleyen Eğitsel İletiler”dir. Aytül Akal, kaleme aldığı eserlerinde yarattığı karakterler, işlediği konu, seçtiği anlatım biçimi, cümle ve paragrafların içinde sunduğu iletilerle çocuk okurların ve eğitimcilerin dikkatini çekebilmiş bir yazardır. Yazarın yapıtlarında işlediği konular günlük hayatta yaşadığımız herhangi bir olay veya durum olabilmektedir. Akal, ailemizden birini veya çevremizdeki herhangi bir kişiyi anımsatan karakterlerini, mizahi bir anlatımla okuruna sunar. Yazar, yapıtlarının olay örgüsünde sosyal hayatımızda yaşadığımız herhangi bir çatışma durumundan hareketle okuruna çeşitli yaşam alanlarına yönelik eğitici iletiler sunmaktadır. Yazarın zengin eğitsel iletiler içeren yapıtları, çocukların karakter ve değerler eğitiminde, gerek ebeveynlerin gerekse eğitimcilerin işlevsel olarak yararlanacağı ürünler olduğunu ortaya koymaktadır.
Potential Structures for Conversations in Various Contexts
Authors: Seimon Tony , Robinson Janeth
Published: January 2020

Computational Linguistics and Artificial Intelligence are increasingly demanding more effective contributions from language studies to Natural Language Processing. This fact has driven Applied Linguistics to produce knowledge to offer reliable models of linguistic production, which are not based only on formal rules of context-free grammars; but, in another way, take the natural language understanding as processing parameter. In a complementary way, there has been an increase in the scope of Applied Linguistics, the need to implement the processing of natural languages in the interaction between human and computer, incorporating the machine into its research and application practices. Among these demands, the search for models that extrapolate the order of prayer stands out, in particular by turning to the structure of texts and, consequently, to textual genres. Situating in this context, this article aims to contribute with solutions to the demands in relation to the study of conversational structures. Thus, it aims to offer a linguistic model of the grammatical systems that perform the potential structures for the conversations in various contexts. More specifically, it produces a model capable of describing the way in which the system networks are made and, consequently, how this dynamic explains the organization of the conversations.
Long-term effects of integrated student support: An evaluation of an elementary school intervention on postsecondary enrollment and completion
Authors: Pollack Courtney , Lawson Jordan L. , Raczek Anastasia E. , Dearing Eric , Walsh Mary E. , Kaufman Gabrielle
Published: January 2020

This study examines the effect of an Integrated Student Support (ISS) intervention on postsecondary enrollment and completion for predominantly low-income students of color. We use propensity score weighting to estimate the effect of receiving ISS during elementary school on postsecondary outcomes for 2009-2017 high school graduates from a high-poverty urban district. Students who received ISS have higher probabilities of enrolling in and completing postsecondary education, and higher probabilities of enrolling in and graduating from four-year (versus two-year) institutions, than the comparison group. Together, results suggest ISS as an effective intervention to reduce barriers to postsecondary education and, thereby, to potentially reduce income- and race-based disparities in postsecondary outcomes.
Impact of Construction Project Execution with and without Project Management Software
Authors:   Department of Civil Engineering, PSNACET, Dindigul, Tamilnadu, India, Subburaj V. , Chokalingam Ramesh Babu ,   Department of Civil Engineering,Kalasalingam University, Tamilnadu, India., Shanmugasundaram M. ,   School of Mechanical and Building sciences, VIT-Chennai Campus, Tamilnadu, India
Published: January 2020

The delay of work is common in construction projects. Delay has a major impact on time and cost overrun. Project management helps to avoid or minimize delays in future work. Here in this paper, two private residential apartments are considered for evaluation. One project has been executed using software and the second project has no such process. The first project prepared with time schedule, resource allocation and levelling, estimation, billing and cash flow all the details using the software tools helps to execute the project with more profit and less delay in work execution whereas the other experimental project is not having plan, same less resource, poor execution leads to heavy loss and more stress to the builder.
Towards Improving Experimental Learning- Exploring Bernoulli’s Equation
Authors:   Center for Water Technology, Department of Civil Engineering, Kalasalingam Academy of Research and Education, Srivilliputtur, India., Chandrasekaran Sivapragasam , Rohit Kinjal Pravin Bhai ,   Center for Water Technology, Department of Civil Engineering, Kalasalingam Academy of Research and Education, Srivilliputtur, India, Swaminathan Lakshmi Priya ,   Center for Water Technology, Department of Civil Engineering, Kalasalingam Academy of Research and Education, Srivilliputtur, India, Poomalai Saravanan ,   Center forWater Technology, Department of Civil Engineering, Kalasalingam Academy of Research and Education, Srivilliputtur, India
Published: January 2020

This study illustrates through the verification of Bernoulli’s equation (as a case study experiment) about how analysis of the gap in experimental results when compared to its theoretical value based on the fundamental principles underlying a hypothesis should become a part of the experimental learning approach which is being adopted in teaching a course. For this experiment, even after making a thorough analysis, it is found difficult to exactly answer the gap in the experimental and theoretical values. Particularly, it is seen that the unaccounted loss is about 10%. Various assumptions adopted in arriving at the conclusions are also elaborated to get a clear picture on carrying out the analysis. This investigation effectuated deep interest among student in the course and also engrossed them to discover the reason for any unaccountable losses in the experiment other than the well identified losses.
Modeling of Chlorine Decay using Artificial Neural Network
Authors:   department of Civil Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., Vanitha Dr.S. , Sivapragasam Dr.C. ,   Center of water technology, department of Civil Engineering, Kalasalingam Academy of Research and Education, Krishnan kovil, Tamilnadu, India
Published: January 2020

In this paper an attempt is made to model chlorine decay using Artificial Neural Network (ANN). Initial chlorine concentration, fast and slow reacting organic and nitrogenous compounds and reaction rate constants of the compounds are used as inputs to the ANN model and the chlorine decay at different points in the decay curve are evaluated. ANN is trained by two different methods namely single output model and multi output models. Predicted data are compared with observed using correlation coefficient. Result indicates multi output model able to model more accurately than single output model.
A Novel Genetic Resource Allocation Algorithm for Symmetrical Services in OFDMA Systems
Authors:   Dept. of ECE, Mar Baselios College of Engineering and Technology, Trivandrum, India., P. S. Swapna , Pillai Sakuntala S. ,   Dept. of ECE, Mar Baselios College of Engineering and Technology, Trivandrum, India., Sasikumar Syama ,   Dept. of ECE, Mar Baselios College of Engineering and Technology, Trivandrum, India., G. Sreeni K. ,   Dept. of ECE, College of Engineering, Trivandrum, India.
Published: January 2020

Performance enhancement of symmetrical services has been very essential today owing to the widespread acceptance and demand of these services in the present generation communication systems. An algorithm with reduced complexity for subcarrier allocation in OFDMA/SC-FDMA system for specific applications that demand similar bidirectional quality is proposed in this paper. The resource allocation problem devised is a multiobjective optimization problem with objectives to maximize bidirectional data rates and minimize the difference in bidirectional data rates, with fairness as a significant constraint. The original problem is mathematically intractable due to non-convexity and therefore linear programming techniques fail to find an optimal solution. The subcarrier allocation problem has been undertaken using an innovative multiobjective optimization technique that employs the concept of non-dominance in evolutionary algorithms. The results are extremely encouraging, while significantly reducing the complexity involved in the processing of algorithm.
Experimental Behaviour of Fiber reinforced Reactive Powder Concrete
Authors:   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Tamil Nadu, India., K Arunkumar , M Muthukannan ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Tamil Nadu, India., Kumar A Suresh ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Tamil Nadu, India.
Published: January 2020

In this paper various mix proportions of Reactive Powder Concretes were formulated using ordinary Portland cement, Fly ash, Micro silica, Silica Fume, Quartz powder etc and these concretes were subjected to strength test. The best mix was selected for further in depth study with fibers like Sisal fiber, Coir fiber, Hair fiber and Polypropylene fiber mixed Reactive Powder Concrete and the various tests have been performed Cube Compressive strength, Cylinder Compressive strength, Flexural strength, Split Tensile strength, Shear test, Water absorption, Sorptivity and Chloride diffusion etc. As a result, fiber incorporated concrete shows increasing Flexural strength, splitting tensile strength, and shear strength up to 30% as compared to control RPC and gives minimal decrease in compressive strength by the addition of fibers. These characteristics make it as a promising material for casting non structural elements such as pressure pipes, flooring tiles, Partition panels, door and window frames. It can also be used as repair materials.
Design of Beyond MillimeterWave Oscillator in 22nm Bulk CMOS technology
Authors:   Research Scholar in SENSE, VIT, Vellore. He is working as Assistant Professor in Department of ECE, RV College of Engineering, Bengaluru, India., NithinM.  , Kittur Harish M. ,   Professor and Dean with School of Electronics Engineering, VIT, Vellore, Tamil Nadu, India.
Published: January 2020

This paper presents the design of an LC oscillator using inductive feedback technique in bulk CMOS 22 nm technology using predictive technology models. The core oscillator is based on the popular Cherry Hooper amplifier topology. The development of the oscillator circuit from the standard Cherry Hooper topology is discussed in this paper with detailed analysis. The inductors are modelled by considering the various effects in this frequency range. The broadband technique used in the CH topology enables the circuit to oscillate at frequencies more than millimeter wave regime. By employing MOS varactors the designed oscillator was converted into a voltage-controlled oscillator also. The fundamental mode of the oscillator is around 372 GHz with a phase noise measured around -70 dBc/ Hz at 10 MHz offset. The VCO has a tuning range of about 490 MHz when the voltage is varied from 0.3 to 0.8 V. The oscillator circuit consumes power of 3.75 mWfrom a power supply of 0.8 V.
Strength Behaviour of Cement Mortar with Marble Powder as Partial Replacement of Cement
Authors:   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar District, Tamilnadu, Nagalingam Ganesan , Chockkalingam Ramesh Babu ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education Krishnankoil, Virudhunagar District, Tamilnadu, PL Meyyappan ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education ,Krishnankoil, Virudhunagar District, Tamilnadu
Published: January 2020

In this study, the strength properties of marble powder in cement mortar have been investigated. The strength studies include compression test, split tensile test and flexure test. To perform these tests, a cement mortar is prepared in the ratio of 1:3 as per the Indian Standard guide lines. In this mortar, the cement is replaced by marble powder by 5%, 10%, 15%, 20%, 25%, 30%, 35% and 40%. For testing the compression strength behaviour of marble powder in replacement of cement, cement mortar cube specimens of size 7.07 cm x 7.07 cm x 7.07 cm are cast for all the said replacement ratios. After 7 and 28 days of curing, the specimens are tested for compression. Similarly for testing of splitting tensile strength, cylindrical mortar specimens of size 60mm dia. and 120mm are cast and tested at 7 and 28 days. For flexural strength determination, beam specimens of size 160mm x 40mm x 40mm are cast and these specimens are tested after the required days of curing. From the test results, it has been found that the cement mortar mix with 10% marble powder gives better results in compression, split tension and in flexure results. To determine the oxide composition of marble powder, XRF test was performed.
An Enhanced Method of Secured Energy - Efficient Data Communication in MANET for Emergency Rescue Operation
Authors:   Associate Professor, Department of Electronics and Communication Engineering, Vivekanandha College of Engineering For Women, Tiruchengode, Tamil Nadu 637205, India, S Jayachitra. , N Thiagarajan. ,   Assistant Professor, Department of Medical Electronics, Sengunthar College of Engineering, Tiruchengode, Tamil Nadu, 637205, India
Published: January 2020

Mobile Adhoc Network (MANET) is a self configuring network consists of number of mobile nodes which can move in any direction at any time. The MANET is implemented for providing several applications such as border security, emergency rescue operation and business meetings, etc. Data communication between the mobile nodes in wireless environment mainly depends on life time of battery and storage capacity of mobile nodes. This paper presents about design of routing algorithms in order to provide data communication not only energy efficient but also secured. Three methods named Energy Optimized Node Partitioned Cluster Routing (EO-NPCR), Energy - efficient Polynomial Time Resource Channelized (EE-PTRC) framework and Secured QoS routing and Data Delivery method are proposed. The EO-NPCR method reduces routing delay by identifying appropriate neighbourhood nodes using Neighbourhood Sector-based energy conservation model. The EE-PTRC framework uses Two Hop Propagate Bandwidth Allocation model for reducing the bandwidth consumption also it improves data delivery. The third method named Secured QoS Routing and Data Delivery (SQR-DD) framework provides data communication over secured path also satisfying the QoS, it applies Geo-optimized maximum likelihood routing. The result of three methods is to achieve secured data communication in emergency rescue application by enhancing energy - efficient routing.
Greywater Treatment Technologies
Authors:   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, India., Gnanaraj S.Christopher , Thankam G.Lizia ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, India., Mukilan K. ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, India., Nivetha K.Pon Rama ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, India.
Published: January 2020

This survey intends to discover the different treatment for grey water by breaking down the grey water attributes, reuse gauges, execution and cost. The exponential development in populace causing increment in water request has prompted utilizing wastewater as a wellspring of water. One of the fundamental options for decreasing convenient water utilization in families, enterprises and business structures is the reuse of grey water. The audit uncovers that, whatever the nature of grey water is, the frameworks for treating grey water should comprise of procedures that can trap poisons and change over natural issue to mineralized mixes. The audit additionally uncovers that physical procedure alone are not adequate to ensure a sufficient diminishment of the organics, supplements and surfactants. The synthetic procedure can successfully expel the suspended solids natural materials and surfactants in the low-quality dark water. The best general exhibitions were seen inside the plans joining diverse kinds of treatment to guarantee compelling treatment of the considerable number of parts.
Feasibility Analysis on Cryogenic Properties of Supercritical Nitrogen to be used in the Cooling of Hg-Based High Temperature Superconductors for Electric Aircraft Propulsion
Authors:   School of Mechanical Engineering, Lovely Professional University, Phagwara, India., Kumar Abhinav , Jeyan J. V.Muruga Lal ,   Department of Aerospace Engineering, Lovely Professional University, Phagwara, India.
Published: January 2020

Electrified Aircraft Propulsion (EAP) and Advanced Hybrid Electric Aircrafts (AHEA) like NASA NX-3, SUGAR, NASA X-57 and STARC ABL are going to be the future of avionics as they have potential to improve fuel economy, emissions and noise levels. The agencies have suggested using superconducting cables for the electric transmission to reduce heat losses. The limit of critical current has reached 134 K where Hg- based ceramic materials are available that can superconduct at this temperature range. In order to retain the superconductivity, the cables have to be cooled below its critical temperature. Liquid nitrogen (LN2) boils of at 77 K which further leads to multiphase heat transfer challenges. An attempt has been made in the present work to overcome such challenges and a novel concept of using Supercritical Nitrogen (SCN), having critical temperature 126.19K and pressure as 3.3958MPa (consist single phase), as a cryogen for the cooling of Hg-Based Superconductors, has been introduced. Drastic variations have been found for thermophysical properties of SCN near the critical point. It has been concluded that few temperature and pressure ranges are suitable if one wants to incorporate SCN as cryogen for Hg-based superconductors.
Electrical Load Prediction for Short Term using Support Vector Machine Techniques
Authors:   School of Electrical Engineering, Vellore Institute of Technology, Vellore, India., Vankadara Kartheek , Raglend I. Jacob ,   School of Electrical Engineering, Vellore Institute of Technology, Vellore, India.
Published: January 2020

The electrical load prediction during an interval of a week or a day plays an important role for scheduling and controlling operations of any power system. The techniques which are presently being used and are used for Short Term Load Forecasting (STLF) by utilizing various prediction models try for the performance improvement. The prediction models and their performance mainly depend upon the training data and its quality. The different forecasting approaches using Support Vector Machine (SVM) depending on several performance indices has been discussed. The accuracy of the forecasting approaches is measured by Mean Absolute Error (MAE), Root Mean Square Error (RMSE), prediction speed and training time. The approach with least RMSE reveals as the best among the SVM methods for short term load forecasting.
Technique to Dynamically Reconfigure FPGAs using Control Registers
Authors:   SENSE, Vellore Institute of Technology, Chennai, Chennai, India., Thangarajan Sreenath , Monica P. Reena ,   SENSE, Vellore Institute of Technology, Chennai, Chennai, India.
Published: January 2020

Due to increased use of FPGAs computation intensive applications, the need for embedded processing system integrated with programmable logic device has also increased. Configuration of programmable logic device by the processing system through its interface improves the efficiency of the device. In order to operate as a stand-alone device and to have a better efficiency, the programmable logic device must be capable of dynamically programming its own configuration memory. In this paper, we propose a configurable logic block with a control register to improve performance of the programmable logic device. The control register acts like a decentralized configuration memory array which can be programmed by other such configurable logic blocks. The FPGAs are fault tolerant devices with repetitive structures requiring high packaging density. This property of FPGA enables the use of CNTFETs for design of FPGAs. CNTFETs offer high trans-conductance and 1-D ballistic transport of electrons and holes which minimizes the power consumed by the FPGA. The proposed control register based architecture was implemented using Cadence Virtuoso using virtual source CNTFET model from Stanford University. A power reduction of 17.62% is achieved using CNTFETs when compared with FINFET at same technology node and the architecture was verified for various configurations of the control register.
Statistical Analysis of Accelerometer, Gyroscope with State Estimation
Authors:   School of Electronics Engineering, Vellore Institute of Technology, Chennai, India, Kulkarni Ashvini , Bulet P Augusta Sophy ,   School of Electronics Engineering, Vellore Institute of Technology, Chennai, India
Published: January 2020

This paper describes the tracking of the object with the utility of a three-axis accelerometer and gyroscope for navigation. The sensor fusion is receiving enormous research interest which is used in monitoring and tracking position. For dynamic modeling, for real-time data, the perceptual mixing of the signals is required. For proper mixing of the signals, sensor fusion techniques are used. This paper presents the comparative review analysis for the three-axis accelerometer and gyroscope for linear acceleration and angular rotation.
Effect of Substrate Layer Thickness on the AC Losses in Stacked Superconducting Pancake Coils using Direct H-formulations
Authors:   School of Mechanical Engineering, Lovely Professional University, Phagwara, India., Kumar Abhinav , Agrawal Ashish ,   Department of Mechanical Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India.
Published: January 2020

Advanced electric aircrafts are in their design phase and superconducting machines are going to be the part of such fascinating technology. In order to diminish the losses involved due to conventional copper conductors, superconductors are proposed for the electric aircraft applications by the American research agencies like NASA and AFRL. Usually, Pancake coils are frequently used in various electric aircraft power applications including high speed motors, generators, transformers and solenoid magnets. Coils are generally bound with high temperature superconducting (HTS) tapes like BSCCO and YBCO. Mostly, 2nd generation coated conductors (YBCO) are employed in power applications due to their merits over BSCCO (1st generation tapes). A superconducting tape manufactured by SuperPower through iBAD manufacturing technique generally consist copper stabilizer, silver over-layer, YBCO layer, buffer layer, substrate material followed by copper stabilizer. The volume fraction of the substrate material and copper stabilizer is more than 90% in the proposed tape. In the present work, the thickness of the substrate material has been varied to evaluate the AC losses involved in the above mentioned applications due to time-varying magnetic fields. A current of 270 A (Ic=330 A) is flowing through a coil of 108 turns. AC loss has been evaluated for various thicknesses 30 μm to 90 μm at a frequency of 50 Hz. The simulations are done using COMSOL MultiPhysics® commercial software package.
Carbon Foot Print Estimation of Education Building a drive towards Sustainable Development
Authors:   School of Construction management (SOCM), National Institute of Construction Management and Research (NICMAR), PUNE – 411045, India., Sudarsan *Dr.J.S. , W Jyesta ,   Advanced Construction Management, National Institute of Construction Management and Research (NICMAR), PUNE, D Jaisal ,   Advanced Construction Management, National Institute of Construction Management and Research (NICMAR), PUNE
Published: January 2020

Carbon footprint is the process by which the effect of carbon emission due to different activities likes using of building materials, vehicular movement, application of air conditioner etc. This kind of study plays important role in estimating the emissions happening in an institutional building. Nowadays due urbanization, Industrialization and improper development huge amount of emissions are happening in all the sector of the activity like real estate development, infrastructure development etc. This study was carried out in an educational institution to find out the amount of carbon emission happening in a particular building and due to different activities. Estimation was done using normal empirical formulas using the known constant value s and quantity of carbon emitted by different materials. It was estimated that huge amount of carbon emission is happening from the buildings, Electricity and vehicular emission in the educational institution building. The total amount of carbon emission for the entire educational campus was found to be 6772.538 tons / month. Study also carried out to access role of vegetation in absorbing the carbon emissions. Based on the study it was estimated that the vegetation plays an important role in reducing the carbon emission. Several other remedial measures like use of Rain water harvesting system, Solar panels, Vertical farming, Terrace gardening are some of the techniques can be adopted to reduce carbon emission effectively. The study helps us to know the effects of inventories that affect emission level and their action that cause changes in environment. Choice of this study is related in the present scenario of increasing CO2 levels in our very own ecological unit. By adopting several measures mentioned above, campus can be made to carbon negative. This kind of survey/estimation will help to achieve sustainable development and also it will create awareness among the public related to carbon emissions and its impact.
Properties of Kerosene-Aluminium Nanofluid used to Estimate the Overall Heat Transfer Rates during Regenerative/Film Cooling of Thrust Chambers
Authors:   School of Mechanical Engineering, Lovely Professional University, Phagwara, India., Kumar Abhinav , Mushtaq Umar ,   Department of Aerospace Engineering, Lovely Professional University, Phagwara, India., Raikwar Muskan ,   Department of Aerospace Engineering, Lovely Professional University, Phagwara, India., Chamoli Anil ,   Department of Aerospace Engineering, Lovely Professional University, Phagwara, India., Khan Shahid ,   Department of Aerospace Engineering, Lovely Professional University, Phagwara, India.
Published: January 2020

Large heat transfer rates are always desired for rocket propulsion applications as high heat loads are associated at the nozzle exit. Different strategies have been employed in order to have high heat transfer coefficients including use of liquid nitrogen, spray cooling etc. ISRO has planned to use aluminium based nano-particles with kerosene in order to cool launching vehicles including GSLV Mk III as it is the heaviest rocket that can carry large payloads. Recently, ISRO has announced to install its own International Space Station (ISS) in future and in such applications larger payloads are to be carried by the rocket. In this work, an analytical study on the thermodynamic properties of the aluminium nano-particles based kerosene nanofluid has been done and an attempt has also been made to develop a temperature and pressure dependent correlation that can be used in computational analysis of thrust chambers while film/regenerative cooling.
Rainfall Prediction using Extreme Learning Machine for Coonoor Region
Authors:   School of Electronics Engineering, Vellore Institute of Technology Vellore, India., Devi S. Renuga
Published: January 2020

Rainfall time-series forecasting is an important research area which has applications in several fields like flood forecasting, drought prediction, water resource planning and management, precision agriculture and disaster management, to name a few. This paper discusses about a machine learning method called the Extreme Learning Machine (ELM) for predicting rainfall. The study area is Coonoor region, Tamil Nadu, India, which is prone to rainfall induced landslides. Two data sets have been used in this study. Data set 1 comprises of daily rainfall data of Coonoor, meteorological parameters like temperature, wind speed, relative humidity cloud cover and month, for the period 2004-2013. Data set 2 consists rainfall data of 14 rain gauge stations and month. A comparative study between the data sets is performed to show that only rainfall data is sufficient to accurately predict the rainfall in the given region. This is substantiated by performing sensitivity analysis on both the data sets. Sensitivity analysis also provides the most important predictor that contributes to accurate prediction of rainfall.
A Movie Recommendation using Common Genre Relation on User-Item Subgroup
Authors:   School of Computing Science and Engineering, Vellore Institute of Technology Chennai, Chennai, TamilNadu, India., Suganeshwari G. , Ibrahim S. P. Syed ,   School of Computing Science and Engineering, Vellore Institute of Technology Chennai, Chennai, TamilNadu, India.
Published: January 2020

Movie recommendation system has played a vital role in retrieving the movies that are of interest to the user. Most of the traditional methods provide a unified recommendation without considering the individual preference of the user. To address this challenge, various recommender methods are currently employing side information like location, time, gender, and genre to provide a personalized recommendation. In this paper, we propose —Common Genre Relations (COGS), which incorporates the information on genre relationships between the movies. Meanwhile, the method reduces the search space for each user and helps to mitigate the sparsity problem. To improve the scalability, the methods are executed on user-item subgroups. Extensive experiments are conducted on a real-world dataset. The empirical analysis shows that the proposed method based on the graph model excels the accuracy at top-k than the state-of-art collaborative filtering methods.
Adaptive Learning and Automatic Filtering of Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environment
Authors:   School of Computing Science and Engineering, Vellore Institute of Technology Chennai, TamilNadu, India., Devi B. S. Kiruthika , Subbulakshmi T. ,   School of Computing Science and Engineering, Vellore Institute of Technology Chennai, TamilNadu, India.
Published: January 2020

Distributed Denial of Service (DDoS) attacks has become the most powerful cyber weapon to target the businesses that operate on the cloud computing environment. The sophisticated DDoS attack affects the functionalities of the cloud services and affects its core capabilities of cloud such as availability and reliability. The current intrusion detection system (IDS) must cope with the dynamicity and intensity of immense traffic at the cloud hosted applications and the security attack must be inspected based on the attack flow characteristics. Hence, the proposed Adaptive Learning and Automatic Filtering of Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environment is designed to adapt with varying kind of protocol attacks using misuse detection. The system is equipped with custom and threshold techniques that satisfies security requirements and can identify the different DDoS security attacks. The proposed system provides promising results in detecting the DDoS attacks in cloud environment with high detection accuracy and good alert reduction. Threshold method provides 98% detection accuracy with 99.91%, 99.92% and 99.94% alert reduction for ICMP, UDP and TCP SYN flood attack. The defense system filters the attack sources at the target virtual instance and protects the cloud applications from DDoS attacks.
Dimensional Reduction of Data for Anomaly Detection and Speed Performance using PCA and DBSCAN
Authors:   Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai, India, Srihari A. Yugandhar , K Sashirekha. ,   Associate Professor, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Chennai, India
Published: January 2020

Anomaly detection is the major problem facing by many of industries. It includes network intrusion and medical sciences. Several fields like Astronomy and research also facing difficulties in finding effective anomaly detection. They have included several techniques to solve such problems. Clustering is the technique which has been employed by many of the researchers. The most commonly used algorithm to perform clustering is DBSCAN. It is well known clustering algorithm used in data mining and Machine learning. It is referred as Density based spatial clustering of application with noise. Because of its high complexity in computation, it must be decreased in terms of dimensionality of data points. PCA is a method used then to reduce dimensionality and produced a new data set which is again undergo DBSCAN. Here by the nature of the test results was precise there by such a methodology can be adjusted. The mix of PCA and DBSCAN was acutely confirmed and resultant examination shows that a speedup of 25% was improved while the quality was 80% diminishing the dimensionality of informational index of half.
Predictive Model for Dyslexia from Eye Fixation Events
Authors:   School of Computing Sciences & Engineering, Vellore Institute of Technology, Chennai Campus, India, A Jothi Prabha , R Bhargavi ,   School of Computing Sciences & Engineering, Vellore Institute of Technology, Chennai Campus, India, B Harish ,   School of Computing Sciences & Engineering, Vellore Institute of Technology, Chennai Campus, India
Published: January 2020

Dyslexia is a specific learning disorder where the individual often find difficulty in spelling and reading words fluently. Dyslexia is non-curable but with right remedial support, dyslexics can become highly successful in academics and life. Eye movement patterns during reading process can provide an in-depth understanding about reading disorders caused by dyslexia. Eye movements can be captured using eye-tracker, from which the relationship between how eyes move with respect to the words they read can be understood. In this work, a set of binocular fixation and saccade features were extracted from raw eye tracking data based on statistical measures. Machine learning algorithms such as Random Forest Classifier (RF), Support Vector Machine (SVM) for classification and K-Nearest Neighbor (KNN) were analyzed to output classification models for prediction of dyslexia. KNN gave higher levels of accuracy of 95% compared to SVM and RF over a small feature set of features related to fixations and saccades. These eye features can be used as a basis for developing screening means for prediction of dyslexia. Prediction of dyslexia at an early stage can help children to go for remediation which helps them for academic excellence.
Airborne Wind Turbine to Produce More Power from High Altitude Winds
Authors:   Asst. Professor, Department of Aeronautical Engineering, Kalasalingamacademy of Research and Education, Tamilnadu, Sebastin J.Sarathkumar
Published: January 2020

This examination identifies a structure for the higher height Airborne Wind Turbines. Winds at high height are quicker than winds close to the world's surface and contain multiple occasions the power giving an amazing undiscovered vitality asset. Also, high height winds are accessible all the more reliably contrasted with close surface breezes. Henceforth, Airborne Wind Turbines produce a progressively unsurprising and uniform power yield bringing about twofold the vitality generation when contrasted with a traditional turbines. The higher elevation Airborne Wind turbines would at first fly at a tallness multiple times higher than ordinary breeze turbines by vertical take-off. The lift required for the Airborne Wind Turbine's vertical take-off is provided by engine generators associated with the turbines, at long last the all-out frameworks conveyed by helium expand. The breezes at high elevation moving through the turbines turn the generators at rapid. The power created by the turbines is transmitted to the ground by means of the strengthened composite tie that stays the Airborne Wind Turbine to the ground.
A Quality Communication Framework for Open Source Softwares
Authors:   Associate Professor, Computer Science and Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India., Rahman A.Abdul
Published: January 2020

Open Source Software (OSS) is an emerging technology of software development in present era, careful implementation and procurement can gives us more benefits for OSS- adapting organizations. But any failure in design, development and procurement will leads to major impact to OSS- developer organization (community) to stop their further release and completely destroy the adapted system. Success of any software’s based on it’s time to delivery, development cost and effectiveness. Open source software can fulfill these factors due to its availability of source code, openness and sustainability of Technical quality among development community. At the same time, more number of developers in a community of any OSS leads to delay in development. But it has chance to improve software effectiveness in terms of defect free, since software can be reviewed using various testing methodology, tools and plans in different perception. An OSS has more issues such as lack of architecture design, co-ordination, organizational structure and documentation, removing these issues will strengthen the quality of OSS. This paper includes the quality model and framework for organized communication the quality characteristics in an appropriate aspects is required since unorganized communications wherever people involved can leads to high quality risk.
Entropy Based Target Identification in Synthetic Aperture Radar Polarimetry
Authors:   Electronics and Communication Engineering, KLS VDIT, Haliyal, India., Dias Plasin Francis , Banakar R. M. ,   Electronics and Communication Engineering, BVBCET, Hubli, India.
Published: January 2020

Synthetic aperture radar is used for polarimetric target identification. It is most prominent imaging radar. This radar covers the widest ranges of earth crust with high resolution images. It captures images day and night. It is suitable for any seasonal weather conditions. The polarization data contains information, on scattering mechanism related to different objects. The objects are land, ocean, glaceries, snow and dense forest which are natural distributed targets. By the use of scattering mechanism the different objects are classified. Scattering mechanism is measured by scattering elements of the matrix. The full polarization of synthetic aperture radar data classifies the obtained image. This paper analyses an entropy based target identification related to synthetic aperture radar polarimetry. The method is also the outcome of Eigen decomposition analysis. The paper also gives broader view of identification of target using physical property and analytical model. The method is helpful for system level design and scattering process considerations.
Risk Factors in the Process industry by using MCDM Methods: Literature from 2014 to 2019
Authors:   Department of mechancical engineering, Kalasalingam Academy of research and education, Krishnankoil-626126, India., Bhalaji R.K.A. , Bathrinath S. ,   Department of mechancical engineering, Kalasalingam Academy of research and education, Krishnankoil-626126, India., Saravanasankar S. ,   Department of mechancical engineering, Kalasalingam Academy of research and education, Krishnankoil-626126, India.
Published: January 2020

Risk factors act as a critical part in the process industry because it affects the production efficiency, turnover and industrial development. Both managers and employees from industry faces the risk and difficult to manage them. So, the main aim of the review paper is to identify the most influential risks in the process industry by using Multi-Criteria Decision Making (MCDM) methods. But many employees have illiterate and poor knowledge about the risks. To overcome this issue, based on the risk percentage we prioritize the risks. For the employee’s perspective, it is easy to know and understand about the risks, how to handle the risks and to take preventive action before the risk will happen. The result of the review paper shown that 40% of risks occurred in sustainability, therefore more attention should be given to the risks by implementing some norms and standards regarding social and environmental issues.