Showing papers in "International journal of scientific research in science, engineering and technology in 2017"
TL;DR: In this article, a positive output super lift Luo converter using fuzzy system is proposed and a computer simulation using matlab/simulink confirms the predicted results, which is the developed converter derived from the buck boost converter.
Abstract: The positive output super lift Luo converter is a recently developed superior DC-DC converter. The object of this paper is to plan and examine a positive output super lift Luo converter using fuzzy system. Advantage of the proposed converter are heftiness around the operating point, high-quality presentation of transient responses under varying loading conditions and/or input voltage, and invariant active performance in the presence of varying operating conditions. Luo converter is the developed converter derived from the buck boost converter. A computer simulation using matlab/simulink confirms the predicted results.
32 citations
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17 citations
TL;DR: In this article, the authors investigated organochlorine pesticides residue levels in water and soil from Kargi area of Marsabit County, Northern Kenya and found that the residues in soils were approximately ten times higher than the levels measured in water.
Abstract: This work investigated organochlorine pesticides residue levels in water and soil from Kargi area of Marsabit County, Northern Kenya. The population of Kargi has experienced high incidences of ill health conditions associated with environmental factors which has raised public concern and interest to delineate the causes. Several organic and inorganic compounds are known to cause toxicity to human health when they occur at high levels in environment, especially pesticides, polychlorinated biphenyls, polyaromatic hydrocharbons, polychlorinated dibenzo-paradioxins/furans among other organics. Inorganic chemical of concern in water include arsenic, nitrites and fluorides. The main objective of this study was to determine whether pesticides contamination in water and soil could be contributing to ill health conditions in Kargi area. We focused on organochlorine pesticides due to the fact that these were widely applied in Kenyan environment in the past, particularly in agriculture and desert locust control leading to high environmental prevalence, obsolete stocks and contaminated soils. We collected water samples in 2.5 L amber glass bottles, whereas soil was collected in aluminum foil and packed in ziplock bags. After extraction and cleanup, pesticide residues were analysed using Agilent 6890N gas chromatograph equipped with a micro-electron capture detector. Pesticide residues in water ranged from <0.001-3.370 μg/L and from <0.00117.141μg/kg in soil. The residues in soils were approximately ten times higher than the levels measured in water. Pesticide residues detected in water samples were well below the WHO maximum limits and also below the background levels detected in other parts of the country. Therefore the residues levels measured in water and soil samples in this study could not be associated to the high incidences of ill health and cancer experienced in the region. Further sampling to compare levels in wet and dry seasons could help to establish environmental effect on water contamination.
9 citations
TL;DR: In this paper, the authors identify the critical success factor, analyse them and point out which critical factors are important in stages of construction and identify some of the factors are identified as crucial to success of the project.
Abstract: Critical Success Factor (CSF) is necessary in construction industry to achieve its goal. Construction industry in India has shown a significant development in recent years and its effect on environment has also increased. Building projects are becoming more difficult and complex nowadays. The project team is facing unprecedented changes. Building maintenance play an important role compared to other factors in building operation. Also, construction research and development process has various factors which affect its success. The earlier approach to success in the construction industry places great emphasis on the ability to plan and implement projects. In the past, companies completing projects in a timely manner within a stipulated budget and meeting optimum quality have been considered successful companies. Minimizing an importance on management practices and organizational stability, companies with successful project completion have been considered as top-performers. In contrast, other industries insist management practices at a corporate level as an essential element of success. However, the future environment of the construction company will be different due to technological and economic advancements. The critical success factors are considered to improve effectiveness and efficiency of the project. The aim of this study is to identify the critical success factor, analyse them and point out which critical factors are important in stages of construction. Some of the factors are identified as crucial to success of the project.
7 citations
TL;DR: This study uses the Frei-Chen algorithm to perform edge detection image in order to know the borders of the picture.
Abstract: Digital image processing is a computational process that is widely used today starting from editing photos or also the manipulation of the picture, one form of image processing is edge detection, edge detection in images is one technique that can be used to mark parts into detail of the picture, either a blurred image due to error or the effect of the image acquisition process, in this study using the Frei-Chen algorithm to perform edge detection image in order to know the borders of the picture.
6 citations
TL;DR: The detection and correction of errors in data transmission requires special algorithms in this study using the algorithm Hamming Code, the use of this algorithm due to ease in the detection and Correction of bit damaged and is expected by this research easier for other researchers to develop algorithms Hamming code for a variety of purposes in data Transmission.
Abstract: Data communication performed at any time does not always go well, sometimes also happens that his name error when transmitting data. The detection and correction of errors in data transmission requires special algorithms in this study using the algorithm Hamming Code, the use of this algorithm due to ease in the detection and correction of bit damaged and is expected by this research easier for other researchers to develop algorithms Hamming Code for a variety of purposes in data transmission.
6 citations
TL;DR: In the light of requirement of intelligent processing of the big data so as to retrieve the information as per the business requirement, authors have proposed a novel architecture that may help in faster information retrieval with better accuracy and recall.
Abstract: Big data is an ocean of data, most of it unstructured, growing exponentially, requires proper strategies and techniques to deal with it. But it is not the major concern of data scientist whereas cost effectiveness, dealing with unstructured data, managing the data effectively, controlling its growth, making raw data useful, its storage are the major challenges. There has been an increasing interest in the application of AI tools to IR in the last few years. Concretely, the machine learning paradigm whose aim is the design of system able to automatically acquire knowledge by them. In the light of requirement of intelligent processing of the big data so as to retrieve the information as per the business requirement, authors have proposed a novel architecture. Proposed architecture may help in faster information retrieval with better accuracy and recall.
6 citations
TL;DR: Automation of descriptive answer evaluation process will be helpful for various universities and academic institutions to efficiently handle the assessment of exam answer sheets of students.
Abstract: Every year many students apply for various examinations which include competitive, institutional, non-institutional. Competitive exams mostly have objective or multiple choice questions. As these exams are conducted on machines, their evaluation is easy and therefore is done on machines. However it has been observed that these examinations cater only objective or multiple choice questions and provision to subjective answer and its evaluation is still an open problem. Automation of descriptive answer evaluation process will be helpful for various universities and academic institutions to efficiently handle the assessment of exam answer sheets of students.
6 citations
TL;DR: This work provides a review of various techniques which have been presented in literature for detection of edges in digital images using linear and nonlinear gradient operators.
Abstract: This work provides a review of various techniques which have been presented in literature for detection of edges in digital images. Various techniques have been proposed over the years using linear and nonlinear gradient operators. Apart from these operators, techniques such as fuzzy logic have also been used for edge extraction. These detection techniques have also been used for various applications such as image restoration, segmentation, object detection and so on.
TL;DR: In this paper, Fourier transform infrared spectroscopy and Scanning Electron Microscopy was used to support the adsorption of Cr(III) ions, and the effect of different parameters like pH, contact time, initial concentration, and different electrolytes was investigated using batch process to optimize conditions for maximum adorption, where the adsorbent data were analyse using Langmuir, Freundlich, isotherm equations at 30°, 40° and 50 °C.
Abstract: Cane Papyrus, a novel plant material, were found to exhibit excellent adsorption capacity over a wide range of Cr(III) concentration. It was characterized by Fourier transform infrared spectroscopy and Scanning Electron Microscopy to support the adsorption of Cr(III) ions. Effect of different parameters likes pH, contact time, initial concentration and different electrolytes was investigated using batch process to optimize conditions for maximum adsorption. The adsorbent data were analyse using Langmuir, Freundlich, isotherm equations at 30°, 40° and 50 °C. Thermodynamic parameters such as standard enthalpy change(∆H°), free energy change (∆G°) and entropy change (∆S°)were also evaluated and the results indicated that adsorption of Cr(III)spontaneous and endothermic. Various kinetics models including the Pseudofirst -order kinetics, Pseudo-second-order kinetics and Intra particle diffusion models have been applied to the experimental data to predict the adsorption kinetics. Kinetic study was carried out by varying initial concentration of Cr(III) at constant temperature and it was found that pseudo-second-order rate equation was better obeyed than pseudofirst -order equation supporting that chemisorptions process was involved.
TL;DR: In this article, the properties of generalized closed sets in topological spaces were investigated, which is an extension of the generalized closed set introduced by Lellis Thivagar, and the basic objective of this paper is to introduce and investigate properties of these closed sets.
Abstract: The basic objective of this paper is to introduce and investigate the properties of Nano generalized closed sets in Nano Topological Spaces which is the extension of Nano closed sets introduced by Lellis Thivagar[2]
TL;DR: In this article, the bias correction is applied to RegCM simulations that forced by RCP4.5 and RCP8.5 future scenarios from European Community-Hamburg Atmospheric Model (ECHAM5) Global Climate Model (GCM).
Abstract: Climate models are numerical representations of various parts of the Earth's climate system. Due to the limitations of the output of the regional climate models (RCMs), when using the trend in proposed future adaption strategy, it is necessary to apply bias correction before they are used for the different sectors especially water resources research. The bias correction is applied to RegCM simulations that forced by RCP4.5 and RCP8.5 future scenarios from European Community-Hamburg Atmospheric Model (ECHAM5) Global Climate Model (GCM). This correction was done against the quality control and homogenized observation dataset based of Climate Research Unit (CRUTS3.24) and European Center for Medium-range Weather Forecast (ECMWF) reanalysis for 40 years (ERA40) datasets. The results showed that the biased precipitation not uniformly distributed throughout the year and their magnitudes are regionally dependent. In addition, it is obvious that there is a time increasing in rainfall up to 20 mm based on the RegCM4 bias correction from the selected from Representative Concentration Pathways (RCP4.5 and RCP8.5) climate scenarios. Where, the increasing of rainfall reached to 6 mm during the different future three periods until 2100 depending on RCP4.5. Whereas, depending on RCP8.5 scenario the increasing in rainfall will reach to 20 mm up to 2100. On the other hand the rainfall distribution especially in Upper Egypt is larger than in RCP8.5. This increasing in rainfall amount is coincide with the historical and observed rainfall analysis that showed that there is a time increasing in rainfall amount over whole Egypt during the period of 1980 2015.
TL;DR: The confidence level in hydraulic torque converter fluid flow simulations using CFD STAR CCM+ software is demonstrated and it is proved that CFD can use as a design and analysis tool to make decisions about design direction.
Abstract: In this paper the Computational Fluid Dynamics (CFD) simulation work being done on single stage, three element two phase torque converter using a commercially available software STAR-CCM+. A Computational Fluid Dynamics (CFD) simulation has used to determine the overall steady state torque converter performance characteristics in-terms of speed ratio, torque ratio, K-Factor and efficiency. The internal flow fields distribution rule were analysed in inlet and outlet of the torque converter elements. The CFD STAR CCM+ software solves the incompressible Reynolds-Averaged-Navier-Stokes (RANS) equations on the entire flow domain using the realisable k-Ԑ turbulence model. To verify the accuracy of CFD simulation, the results had validated experimentally by using dynamometer load testing. The torque converter performance characteristics predicted by CFD simulation, is exactly coincidence with experimental results. Based on the validation study, it has proved that CFD can use as a design and analysis tool to make decisions about design direction. This paper demonstrates the confidence level in hydraulic torque converter fluid flow simulations using CFD STAR CCM+ software and describes how it can uses to assist torque converter design today.
TL;DR: In this paper, the authors presented the vibration and harmonic analysis of orthotropic laminated composite plate and the response of plate is determined using Finite Element Method using eight noded shell 281 elements and results are obtained so that the right choice can be made in applications such as aircrafts, rockets, missiles, etc. to reduce the vibration amplitudes.
Abstract: This paper presents the vibration and harmonic analysis of orthotropic laminated composite plate. The response of plate is determined using Finite Element Method. The eight noded shell 281 elements are used to analyze the orthotropic plates and results are obtained so that the right choice can be made in applications such as aircrafts, rockets, missiles, etc. to reduce the vibration amplitudes. Initially the model response for orthotropic plate and harmonic response for isotropic plate is verified with the available literature. The results are in good agreement with the available literature. Numerical results for the natural frequency and harmonic response amplitude are presented. Effects of boundary conditions, thickness to width ratio and number of layers on natural frequency and harmonic response of the orthographic plates are also investigated. The natural frequency, mode shape and harmonic analysis of laminated composite plate has been determined using finite element package ANSYS.
TL;DR: The significance of bioinformatics concepts utilized over the bioremediation fields is highlighted as the structure and development of databases would be further utilized for better upliftment.
Abstract: Bioremediation is a technology that uses metabolic processes to degrade or transform contaminants, so that they remain no longer in harmful form. Microbial mediated bioremediation has a great potential to effectively restore contaminated environment, but the lack of information about factor regulating the growth and metabolism of various microbial communities in polluted environment often limits its implementation. Newly seeded technology such as Bioinformatics offer remarkable promise as tools to address longstanding questions regarding the molecular mechanisms involved in the control of mineralization pathways. Bioinformatics requires the study of microbial genomics, proteomics, interactomics, computational biology, phylogeny and application of bioinformatics tools for determining the structure and development of databases which would be further utilized for better upliftment. The bioinformatics web-servers plays key role in the application of bioremediation. This paper highlights the significance of bioinformatics concepts utilized over the bioremediation fields.
TL;DR: The developed Wireless Sensor Network is implemented for experimental authentication of the system and results are successfully interpreted.
Abstract: Nowadays, the demand of cost effective, small size and reliable instruments for agricultural applications are increases. The need of hour is covered by growing technology like System on Chip as well as communication technology. Considering such facts, the Wireless Sensor Network is designed based on configurable System on Chip for monitoring of Temperature and Humidity. For this respective sensors are wired about configurable System on Chip and output is coupled to the communication technology for wireless data exchange. The developed Wireless Sensor Network is implemented for experimental authentication of the system and results are successfully interpreted.
TL;DR: In this paper, the authors examined the relationship between workplace ostracism and teacher's burnout considering the moderating role of teacher's personality either A or B. This study is unique as it presents the comparative analysis of teacher‟s personality type (A & B) on their burnout levels.
Abstract: The objective of this paper was to examine the relationship between workplace ostracism and teacher‟s burnout considering the moderating role of teacher‟s personality either A or B. This study is unique as it presents the comparative analysis of teacher‟s personality type (A & B) on their burnout levels. To fulfil this objective, twowave survey of 300 teachers was conducted to identify their personality types and their responses regarding burnout levels due to workplace ostracism. In this study, workplace ostracism was used as independent variable, teacher‟s burnout as dependent and personality type (A & B) as a moderating variable. The regression analysis was used to measure the relationship between workplace ostracism and teacher‟s burnout and hierarchical regression analysis was used for moderation. Significant positive relationship was found between ostracism and teacher‟s burnout. Personality type (A & B) strongly moderates the relationship between ostracism and teacher‟s burnout. Furthermore, personality type A intensifies the relation between Ostracism and job burnout. Hence, this research suggests that to induce participatory/social programs particularly for „personality type A‟ teachers who are more vulnerable to harmful effects of ostracism.
TL;DR: In this paper, the impact of these techniques on the flexure carrying capacity of flexure deficient RC beams by retrofitting is studied and the results show that these techniques have a positive effect on the performance of the beam.
Abstract: The retrofitting of concrete structures has become increasingly important in view aging and more deterioration of infrastructure. The problem is more severe due to optimized technologies for construction. Many expansive methods are available for retrofit ting structures and choice of suitable method/material is a challenge to a structural engineer. Retrofitting is the Science and Technology of strengthening the existing structures or structural elements to enhance their performance with new technology, features and components. Retrofitting of an existing reinforced concrete structure includes either repair, rehabilitation (or) strengthening terms. The term retrofit is used if the damaged structure performance was satisfying than before with some additional resistance then the term retrofit will be representative. Now a day’s many researchers have proposed many materials, methods and techniques for strengthening flexure deficient RC beams. The studies performed on the flexure retrofitted RC beams using traditional method like stitching (Hook Method) are studied. Further it is required to study the relative effect of these techniques on flexure carrying capacity of flexure deficient beams by retrofitting.
Journal Article•
TL;DR: The Adomian decomposition method (ADM) is a powerful method which considers the approximate solution of a non-linear equation as an infinite series which usually converges to the exact solution as mentioned in this paper.
Abstract: The Adomian decomposition method (ADM) is a powerful method which considers the approximate solution of a non-linear equation as an infinite series which usually converges to the exact solution. In this paper, this method is proposed to solve some initial value problems. It is shown that the series solutions converges to the exact solution for each problem.
TL;DR: This project is to develop a moving message display in classrooms to pass any information through a SMS from the mobile phones using the GSM technology to access the display and solar power is used as a source for this project.
Abstract: Now a day‟s every advertisement is going to be digital. In Railway stations and bus stands everything that is ticket information etc is digital moving display. As in such case the idea of our project is to develop a moving message display in classrooms to pass any information through a SMS from the mobile phones. We are using the GSM technology to access the display and solar power is used as a source for this project as the energy is stored in battery and the supply is given to the dot matrix display. If the user wants to display some message, he will send the messages in SMS format where the MODEM will receive the message and update the display according to the message. A desired text message from a mobile phone is sent via a Global System for mobile communication (GSM) to the GSM module located at receiving end. The GSM modular is connected to MAX232 Integrated circuit to the AT8051 microcontroller. This research work is developed with Microcontroller from ATMEL. The microcontroller provides all functionality of the display and wireless control.
TL;DR: The results show that the profile of E6 oncoprotein from HPV-18 and HPV-52 strains were stable, while HPV-16 strain was not stable due to the differences in the ligand interactions, as well as the accuracy of such simulations is critically dependent on the force field.
Abstract: Human papillomavirus (HPV) is known as the main cause of cervical cancer. Most sexually active women might be high risk infected by HPV. In Indonesia, HPV-16 and HPV-18 types are equally common in the general population associated with cervical cancer. HPV-52 is the most prevalent type in the general population worldwide. Some natural products have been identified as promising sources as inhibitor agents for treatment and prevention of cancers in recent years. Indonesia is abundant of original plants with bioactive compounds that play role as anticancer, such as red fruit, turmeric, god's crown, ground cherry and white turmeric. The aim of this research is to structure-based screen the interaction between protein E6 from HPV-16, HPV-18 and HPV-52 strains with natural compounds through molecular docking. Out of five natural compounds that we studied, we found the highest binding energy to interact with E6 HPV-16 is daphnoretin (-7.8 kcal/mol), HPV-18 and 52 is β-cryptoxanthin -7.8 kcal/mol and -8.4 kcal/mol. Molecular docking simulations provide a platform for capturing the structures, motions, and interactions of biological macromolecules in full atomic details. The accuracy of such simulations, however, is critically dependent on the force field—the mathematical model used to approximate the atomic-level forces acting on the simulated molecular system. The results show that the profile of E6 oncoprotein from HPV-18 and HPV-52 strains were stable, while HPV-16 strain was not stable due to the differences in the ligand interactions.
TL;DR: The classical and modern metrics of software cognitive complexity are discussed and analysed and the primary objective of this paper is to throw some light on various Software cognitive complexity metrics.
Abstract: Software metric is used to measure the quality of a software. The conventional metric may be categorized as procedural and Object-oriented metrics. Object-oriented Programming is widely used for software development from the last three decades. There arises a dire need for metrics to evaluate the quality of software in a better manner. Number of metrics are already proposed for OO design but their implementation is still very less. Cognitive Informatics plays an important role in understanding the fundamental characteristics of software. The cognitive complexity metrics is a better indicator to measure the human effort needed to perform the task and measure the difficulty in understanding the software. The primary objective of this paper is to throw some light on various Software cognitive complexity metrics. The classical and modern metrics of software cognitive complexity are discussed and analysed.
Journal Article•
TL;DR: In this article, the phase change materials were tested as phase change material by crystallization and the results showed that the latent heat storage method provides much higher storage density, with a smaller temperature difference between storing and releasing heat.
Abstract: There are large numbers of phase change materials that melt and solidify at a wide range of temperatures, making them attractive in a number of applications. Hydrated salts have larger energy storage density and higher thermal conductivity but experience super cooling and phase segregation, and hence, their application requires the use of some nucleating and thickening agents. Sodium carbonate, sodium phosphate and sodium sulfate tested as phase change material by crystallization in this work. Salt hydrate phase change materials used for thermal storage in space heating and cooling applications have low material costs, but high packaging costs. A more economic installed storage may be possible with medium priced, high latent heat. Latent heat storage is one of the most efficient ways of storing thermal energy. Unlike the sensible heat storage method, the latent heat storage method provides much higher storage density, with a smaller temperature difference between storing and releasing heat.
TL;DR: This paper gave a qualitative report on communicative language teaching's advantages and disadvantages and investigated some studies in various countries on CLT and examined its theoreticians' ideas. But they did not give a qualitative evaluation of CLT's performance.
Abstract: The present paper tries to give a qualitative report on communicative language teaching`s advantages and disadvantages. Meanwhile, it investigates some studies in various countries on CLT and examines its theoreticians` ideas.
TL;DR: In this paper, multiphase flow correlations were modified by tuning to fit the measured downhole pressure and rate from the production test using prosper in order to model the performance of the well under study.
Abstract: Well performance modelling is an intrinsic part of petroleum engineering study. It is a combination of the produced fluid PVT model, the reservoir IPR model and the VLP model. It involves modelling the pressure losses encountered by the reservoir fluid as it flows from the bottomhole to the surface. Many investigators have developed different correlations to model these pressure losses but none has been found to be the most accurate because fluid flow in the tubing is usually multiphase and very complex. In this work multiphase flow correlations were modified by tuning to fit the measured downhole pressure and rate from the production test using prosper in order to model the performance of the well under study. Thus, results from production tests are required to tune the correlation to match the observed behaviour. Results showed that the well performance is dependent on the reservoir pressure, tubing head pressure (THP), tubing size and water cut. From the case study, it was observed that the well will not flow if left at its present condition (250psig THP, 30%water cut, 2.875” tubing size) at reservoir pressures below 2900psig. Reducing the THP (to about 200psig) as well as the tubing size results in increase in production.
TL;DR: In this review main focus has been given on insulin molecule(synthesis, secretion, action,etc) and its role in diabetes mellitus.
Abstract: Diabetes mellitus is a major endocrine metabolic disorder with the characteristic feature of hyperglycemia i.e increased glucose levels. It usually occurs due to the imbalances in carbohydrate metabolism. Glucose is an important aldohexose sugar whose level gets raised during diabetes. Normally in the body glucose is acted upon by the hormone Insulin which is secreted by the beta islet cells of the pancreas. However during diabetes either the level of insulin decreases or the cells become insensitive to the action of insulin. Diabetes mellitus is associated with a number of complications affecting eyes, kidney, heart, nerves etc. A lot of research is done or is still is going on, but diabetes mellitus still is the leading cause of death worldwide. The number of diabetic cases in developing countries is increasing day by day and no huge effort has been put into action to stop this sweet but deadly disease. Diabetes mellitus can be controlled by diet, lifestyle, exercise, oral hypoglycemic agents or insulin (pharmacological). Diabetes mellitus selectively damages cells(endothelial cells and mesangial cells) because in these cells the rate of glucose transport does not decline rapidly as a result of hyperglycemia, leading to high glucose inside the cell. Diabetes mellitus not only affects small blood vessels but also large blood vessels, so the complications of diabetes are divided into two classes i.e microvascular(small blood vessels) and macrovascular (large blood vessels).These complications affect and cause severe damage not only to the organs but to the nerves as well. So such medications should be developed that at least should minimize these adverse damages. At the moment insulin is widely used in diabetes in combination with other medicines. Not only drugs but products obtained from natural sources which could act as a protective agents should be looked upon to reverse and decrease such adverse damages. In this review main focus has been given on insulin molecule(synthesis, secretion, action,etc) and its role in diabetes mellitus.