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Transient analysis of the reinforced concrete framed structure with steel fibres when subjected to blast loads
In the recent past in major cities all over the world, public structures are vulnerable to blast loads caused by explosions either accidentally or intentionally. The purposeful causes are not on solidified military targets however on significant regular civilian structures, similar to business, monetary and urban focuses. The study of fortified solid Ground + 3 Storied structure exposed to impact burdens have picked up significance, as routinely the strengthened solid structures are not intended for shoot stacks the same number of the stacking codes due not command for the equivalent and because of the way that measuring the greatness of the impact burden is hard to appraise. In any case, the structures are defenceless to harm from the blast. To secure the life of individuals and to limit the harm to the structure, it has turned out to be basic to consider the impact of impact stacks too notwithstanding the customary burdens, considered according to the overarching codes, during the investigation and plan of every single open structure. The charge weights of the explosive used on the structure are 8kg, 16 kg and 24kg. The equivalent blast pressure subjected on the structure is determined, to study its corresponding effects for stand-off distances of 3000 mm and 6000mm using surface blast load. The behavior of the structure is studied by varying the parameters and verified which of these parameters can be critical to the performance of the structure. The response of the ground floor + 3 upper storied reinforced concrete skeletal structure is studied for understanding the variation of the displacements, strains and stresses for the parameters considered. The 3D modeling of structure and structural components were produced by utilizing of PTC CREO 3.0. Discretization (meshing) of structural also its components were used in HYPERMESH. Static analysis and blast load analysis was carried out using ANSYS. A reinforced concrete structure can be designed and constructed to passively control the effects of the blast loads on the structure by including steel fibers to the concrete to improve its performance by reducing the deflections and the strain rates based on the standoff distance and the charge weight used in the explosion. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Becoming knowledge societies: A happiness framework for institutions of higher education in India
The transformation of Indian Higher Education Institutions (IHEIs) to knowledge societies require multiple coordinated interventions and actions on both the local and the global levels of institution administration, management, supply and demands of the economy and society. A vibrant knowledge society will not only require institutions support to plan and amend practices but also require the engagement of all stakeholders and the ability of individuals and society to imbibe new ways of thinking, working, and acting. It is vital to chart a direction and an approach that is in alignment with the local context and culture. At the supply front, IHEIs should initiate intervention programmes to enhance human capital through investment in a Happiness Framework and a shift in the workplace culture that requires conscious measures of intervention, which will drive institutional effectiveness and improve student experiences. This happiness framework should be integral and reinforced, first as an induction-training programme, and practised as institutional culture. Individuals, who are thus, trained at the local level of institutions, while participating in the global labour market with their increased skills and competencies will drive the IHEIs towards a fully functioning knowledge-based society. A knowledge-based society thus built to generate, disseminate, and use knowledge to improve the standard of living and the quality of life of citizens in an ethical and sustainable way will certainly make happiness as its ultimate goal and will focus on happiness as a process to improve efficiency and efficacy of the work force. 2019 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore),. -
Knowledge society and the era of post-truth: Challenges to democracy
The future of any country in the contemporary era lies in its ability to harness the knowledge potential. The fruits of knowledge society have transformed the terrain of social and political scenario of countries around the world. Democracy as a form of government, to be successful, requires a critically-engaged and politically literate population. Democracy, therefore, requires not only political literacy but also media and digital literacies given the influence of media in our lives. If democracy is viewed as a relationship between knowledge and power, there needs to be a strong distinction between the ideas, the truth of power and the power of truth. The term, 'Post-truth', signifies that objective facts have become less influential in shaping public opinion than appeals to emotion and personal beliefs. The political processes in various democracies seem to have become more managerial and technologically fixated. There has been significant erosion in the ideas of transparency of information and political leadership has become nothing but a propaganda exercise. The paper analyses how the information technology revolution and the surge of new media has impacted the political processes in democracies, and presents the phenomenon of post-truth as a threat to the modern democratic systems. 2019 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore). -
Trace level determination of Hg 2+ ions in environmental samples with a mercaptotriazole-functionalized TiO 2 nanostructure-based fluorescent probe
A highly selective and sensitive fluorescent probe for the determination of Hg 2+ ions is reported using substituted mercaptotriazole functionalized TiO 2 nanoparticles (MMT@TiO 2 ). The functionalized TiO 2 nanoparticles were characterized by UV-vis spectrophotometric, spectrofluorometric, FT-IR, FT-Raman, XPS, TEM, SEM, EDAX and P-XRD analyses. The interaction of Hg 2+ ions with functionalized MMT@TiO 2 induced aggregation of nanoparticles causing chelation enhanced fluorescence. The limit of detection and limit of quantitation for the determination of Hg 2+ ions were found to be 2.18 10 -10 M and 6.61 10 -10 M, respectively. The method developed was successfully applied for the determination of Hg 2+ ions in environmental samples. 2019 The Royal Society of Chemistry. -
Size effect in market-wide liquidity commonality: Evidence from the indian stock market
Liquidity commonality and the co-movements in trading costs related to such commonality have remarkable implications in market microstructure. Analyzing and identifying such commonality will enable the investor and policy maker to discover evidence regarding the inventory risks and asymmetric information influencing individual securities' liquidity. Thus, this study aims at documenting the liquidity commonality and measuring its extent in the Indian stock market. Employing fourteen liquidity measures attributed to the cost, quantity, time, and multidimensional aspects of liquidity, it empirically proves the existence of co-movements among market-wide liquidity and the individual securities' liquidity. The study also shows the presence of a size effect in liquidity commonality in Indian stock market. It is found that the slope coefficient indicating the interface between market-wide liquidity and individual securities' liquidity generally increases with size. Copyright 2019 Namitha K. Cheriyan, Daniel Lazar. -
Level of green computing based management practices for digital revolution and new india
The reality is staring us in the form of global warming, climate changes and air-quality degradation. This reality constitutes an increasing zone on the strategic front. These strategic changes need necessarily to be responded through employees of an organization. Against this backdrop, the Green Information Technology and Green HRM have emerged as a sequel to rapid degradation of our planet due to human activities. Therefore, incorporating the environmentally friendly practices through IT practices, recruitment, training and performance management functions constitute important components of Green IT and HRM. Green information technology is the revolutionary initiatives especially for human resources management practices that lead to digital life towards sustainable society. Keeping this practical and emergent context in view, the present study makes an attempt to develop a framework for assessing the level of green HRM practices actually prevailing in Indian organizations. The requisite data were collected from original sources and clarified with existing sources. The results of the study led to the inference that Information Technology and HRM practices of promoting individual performance needs fine-tuning because any green initiative has necessarily to be a collective exercise by all concerned. BEIESP. -
Injective edge coloring of graphs
Three edges e1, e2 and e3 in a graph G are consecutive if they form a path (in this order) or a cycle of lengths three. An injective edge coloring of a graph G = (V, E) is a coloring c of the edges of G such that if e1, e2 and e3 are consecutive edges in G, then c(e1) ? c(e3). The injective edge coloring number ?? i (G) is the minimum number of colors permitted in such a coloring. In this paper, exact values of ?? i(G) for several classes of graphs are obtained, upper and lower bounds for ?? i (G) are introduced and it is proven that checking whether ?? i (G) = k is NP-complete. 2019, University of Nis. All rights reserved. -
Identification of language in a cross linguistic environment
World has become very small due to software internationationalism. Applications of machine translations are increasing day by day. Using multiple languages in the social media text is a developing trend. Availability of fonts in the native language enhanced the usage of native text in internet communications. Usage of transliterations of language has become quite common. In Indian scenario current generations are familiar to talk in native language but not to read and write in the native language, hence they started using English representation of native language in textual messages. This paper describes the identification of the transliterated text in cross lingual environment. In this paper a Neural network model identifies the prominent language in the text and hence the same can be used to identify the meaning of the text in the concerned language. The model is based upon Recurrent Neural Networks that found to be the most efficient in machine translations. Language identification can serve as a base for many applications in multi linguistic environment. Currently the South Indian Languages Malayalam, Tamil are identified from given text. An algorithmic approach of Stop words-based model is depicted in this paper. Model can be also enhanced to address all the Indian Languages that are in use. Copyright 2020 Institute of Advanced Engineering and Science. All rights reserved. -
Spectrochemical and theoretical approaches for acylhydrazone-based fluoride sensors
Abstract: Acylhydrazone derivatives N?-[1-(2-fluorophenyl)ethylidene]pyridine-3-carbohydrazide (R1) and N?-[2-fluorobenzylidene]benzohydrazide (R2) were synthesized from their corresponding hydrazides and characterized by spectroscopic methods. The response of these acylhydrazones towards different anions was studied by colorimetric and spectrofluorometric methods in acetonitrile. The receptors exhibited a specific response towards fluoride ion. The binding affinity of the receptors with fluoride anion was studied by fluorescence spectroscopic techniques and abinitio density functional theory calculations with Beckers three-parameter LeeYangPar (B3LYP) exchange functional with 6-311G basis set. Graphical abstract: [Figure not available: see fulltext.]. 2018, Springer Nature B.V. -
Problems and perspectives in inventory management of fruits and vegetables at HOPCOMS, Bangalore
Increase in demand for Fruit and Vegetables has augmented over the years. Being perishable they are restricted to a limited life span. The time dependency on perishable commodities acts as a barrier to retain the freshness and quality in fruits and vegetables for a longer period. Therefore, Inventory management is vital to manage perishable commodities as it brings in transparency to the actual demand from the customers. The retailer being the key element in the supply chain to come in contact with the customer should follow up with techniques to manage overstocking and stock out situation. The present study focuses on bringing in inventory management in HOPCOMS, a cooperative society in Karnataka. In the road to satisfy the customers, it is necessary for the society to come up with different strategies to manage the inventories. Different inventory evaluation methods are studied in relation to perishable commodities and the factors affecting the same. FIFO (first in first out) an inventory evaluation method was found to be more efficient and must be considered practically by the retailers to manage inventories during the sales. However, with efficient infrastructural facilities, interference of state government to bring in cold storage facilities and, creating awareness regarding the actual demand for a commodity in the market, the retailer would be able to balance overstocking and stock out situation in the future. 2019, Institute of Advanced Scientific Research, Inc. All rights reserved. -
The sparing number of the powers of certain Mycielski graphs
In this paper, we discuss the sparing number of the power graphs of the Mycielski graphs of certain graph classes. Journal Algebra and Discrete Mathematics. -
Significance of Lorentz Force and Thermoelectric on the Flow of 29 nm CuO-Water Nanofluid on an Upper Horizontal Surface of a Paraboloid of Revolution
Combination of electric and magnetic forces on charged molecules of flowing fluid in the presence of a significant electromagnetic fields on surfaces with a nonuniform thickness (as in the case of upper pointed surface of an aircraft and bonnet of a car which are examples of upper horizontal surfaces of a paraboloid of revolution - uhspr) is inevitable. In this study, the influence of imposed magnetic field and Hall effects on the flow of 29 nm CuO-water nanofluid over such object is presented. Suitable similarity variables were employed to nondimensionalize and parameterize the dimensional governing equation. The numerical solutions of the corresponding boundary value problem were obtained using Runge-Kutta fourth-order integration scheme along with shooting technique. The domain of cross-flow velocity can be highly suppressed when the magnitude of imposed magnetic strength and that of Hall parameter are large. A significant increase in the cross-flow velocity gradient near an upper horizontal surface of the paraboloid of revolution is guaranteed with an increase in the Hall parameter. Enhancement of temperature distribution across the flow is apparent due to an increase in the volume fraction. 2019 by ASME. -
Synthesis of bismuth silicate nanostructures with tunable morphology and enhanced photocatalytic activity
Bismuth oxide due to its narrow bandgap has attracted significant attention as a photocatalyst. A facile and efficient method to synthesize bismuth silicate with tunable morphology and property is achieved in this study. Bismuth oxide and bismuth silicate have been synthesized by surfactant-assisted modified sol-gel method. The fabricated bismuth oxide nanoparticle samples are characterized by various analytical tools such as X-Ray diffractometer, Infra-Red spectroscopy, Scanning Electron microscopy and UV-Diffuse Reflectance spectroscopy. The synthesized nanoparticles exhibit excellent photocatalytic activity for the degradation of Rhodamine B dye in aqueous medium. Bismuth silicate exerts more satisfactory catalytic property and outstanding reusability compared to pure bismuth oxide. The superior stability and enhanced activity enables the application of bismuth silicate as a photocatalyst for environmental remediation. 2019, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved. -
User request scheduling for multimedia resource using improved fuzzy logic with hybrid lyapunov based algorithm in hybrid cloud
The hybrid cloud provides vast opportunity to access the varied resources for effective provisioning of services to its users. The proposed scheduling algorithm uses the K-Nearest Neighbor(KNN) to locate the current location of the user and the nearest available computing resource. The Improved Fuzzy Logic (IFL) is applied for improving the resource balancing so that the resources are better utilized for the scheduling process. The wastage of resource usage and ideal resource are reduced considerably. The HLA scheduling is applied with the IFL, and based on the waiting of the jobs; the slots are allocated with jobs for execution. All the jobs are executed successfully with minimized execution time and makespan of the workflow application request. The performances of three algorithms are measured with parameters such as execution time, makespan time, in millisecond (ms). The execution speed is measured as throughput in MIPS (Millions of Instruction per Second). The resource utilization and usage of VMs are increased in the proposed scheduling algorithm resulting in a less number of ideal resources and reduced application cost. BEIESP. -
A study on significance of cashback offered by online companies and its impact on customer preferences in online purchases
The emergence of e-commerce is redefining the entire business process across the word. This mode of doing business is presently being used in every industry and sale of all products. The retail industry has seen the major shift towards e commerce business model. With more and more customers opting for online purchases, a number of companies have entered into this sector. This had led to extreme competition in the market. The companies compete each other fiercely with sharp marketing tactics. The price based sales strategy is the one that attracts the customers more. The research study is being done to understand the significance of the cashback strategy used by online companies to generate more sales. The study will try to analyse the perception of the customers towards cashbacks and what are the factors related to cashbacks that attracts them. The findings will help the online companies in designing the best cashback model. The study has been carried out in Bangalore as it is one of the leading locations for online business. 2019, Institute of Advanced Scientific Research, Inc. All rights reserved. -
Performance Evaluation Frameworks in the Context of Indian Microfinance Institutions
The paper conducts a detailed examination of the existing evaluative frameworks for microfinance institutions to gauge the differences and similarities. Efficiency evaluates how MFIs are meeting the performance standards considering time and budget constraints. Outreach evaluates the effectiveness of MFIs in reaching the beneficiaries. Relative efficiency scores were calculated using data envelopment analysis and outreach was measured in five different dimensions (pentagon model). Further, cluster analysis assisted in categorizing the MFIs into five value clusters. The study compares both outreach performance and relative efficiency scores employing ANOVA and correlation analysis. The study was conducted among the Indian context when the sector was hit by crisis during 2010. Paper brought out important insights about the sample. Indian MFIs were found to be more socially efficient, since the social dimension taken into consideration was number of female clients and majority of Indian MFIs has exclusive female focus. The correlation tests found that relative efficiency scores are positively related to depth (poor focus) and length (sustainability) outreach. The results showed that cluster analysis model basing outreach scores was more comprehensive and captured more information compared to the data envelopment model relative efficiency scores. The study is original in its approach in using cluster analysis for outreach performance and in the objective of comparing the two different models. 2019 Aruna Balammal et al., published by Sciendo 2019. -
Analyzing students academic performance using multilayer perceptron model
Identification of the students behavior in the class room environment is very important. It helps the lecturer to identify the needs of the students. It also aids in identifying the strength and weakness of the individual and guide them to improve on their performance. Observing and supervising the students regularly can improve their performance. The data has been collected from 120 students who took the common the course taught by two different lectures. The students were observed based on the internal assignments and quizzes and the model exam given by the respective lecturers. In this paper the students are categorized into different groups based on their performance using Multilayer Perceptron (MLP) and also different factors which are influencing the performance of the students are identified. BEIESP. -
Nutrition food labels on consumers purchase behaviour: A triangulation approach
The research paper is about the efforts taken by the marketers in the new century to market the products with the most attractive term "Nutrition food labels". Nutritional labeling is the practice of providing nutritional information on the labels of food packages. Since nutrition label introduces the product to the distributor or target consumer by providing them with all the information regarding the product. The main aim of a marketer is to achieve maximum customer satisfaction, because once if a customer is satisfied it automatically increases customer loyalty and has a positive impact on the firm's profitability position. Our research would help the other researchers to understand the factors that will lead to final purchase identifying the factors that will influence the consumer in making their final purchase decision. The variable matrix proposed with regard to nutritional label would help the researchers in figuring out the measures that would intensely gain the awareness of making use of food labels. Further it would help other researcher to conduct similar studies in different geographical locations across the globe. Other variables can be included along with the variables identified in our study; researchers can also come up with a new study considering this study as a base paper. It is important to assign weights to most discussed variable and then to finalize the variable matrix and hence the researchers have used Dedoose software to analyze the literature review and to find the most promising variable which can be used for the present study. Moreover, lifestyle has a major impact on the consumers brand preference by giving importance to nutritious content. The researchers have concluded that the nutritious labeling descriptions should be considered by the consumers which will help them to maintain a balanced diet but are the consumers aware of the consequences of consuming the wrong product with false information. This mixed approach method has provided insights on quantitative and qualitative approach. 2015-2017 Academic Research Publishing Group. -
Predictive analytics in cryptocurrency using neural networks: A comparative study
This paper is concerned with assessing different neural network based predictive models. Each of these predictive models has one goal and that is to predict the price of a cryptocurrency, Bitcoin is the cryptocurrency taken into consideration. The models will be focusing on predicting the USD equivalent value of bitcoin using historical data and live data. The neural network models being assessed are a Convolutional Neural Network, and two variations of the Recurrent Neural Network that are Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). The goal is to observe the validation loss of each model and also the time it takes to train or epoch for each training set which basically just determine its efficiency and performance. The results that are achieved are almost what was expected as LSTM outperforms CNN but the when we take a look at GRU, it is at par with LSTM. However, CNN is quicker at training or creating epochs and the validation loss is acceptable and not too high but it looks so when it is compared with the Recurrent Neural Networks such as Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). BEIESP. -
Comparative analysis between 36 nm and 47 nm aluminawater nanofluid flows in the presence of Hall effect
White crystalline powder (aluminum oxide- Al 2 O 3 ) and water are the products often formed after the heating of aluminum hydroxide. In this report, boundary layer flow of two different nanofluids (i.e., 36nm Al 2 O 3 -water and 47nm Al 2 O 3 -water) over an upper horizontal surface of a paraboloid of revolution under the influence of magnetic field is presented. The combined influence of magnetic field strength, electric current density, electric charge, electron collision time, and the mass of an electron in the flows are considered in the governing equations. Three-dimensional transport phenomenon was considered due to the influence of the Lorentz force (F?) along the z-direction as in the case of Hall currents. In this study, the dynamic viscosity and density of the nanofluids are assumed to vary with the volume fraction ?. The dimensional governing equations were non-dimensionalization and parametrization using similarity variables. The corresponding boundary value problem was transformed into initial value problem using the method of superposition and solved numerically using fourth-order RungeKutta method with shooting technique (RK4SM). Magnetic field parameter is seen to have dual effects on the cross-flow velocity profiles of both nanofluids. The maximum cross-flow velocity is attained within the fluid domain when 36nm nanoparticles alumina is used. The cross-flow velocity gradient at the wall increases with magnetic field parameter (M) and also increases significantly with Hall parameter at larger values of M. 2018, Akadiai Kiad Budapest, Hungary.