Component Identification in Software Configuration Management Applied to the Development of Framework Traceability
Abstract— Traceability in the agricultural production chain enables us to identify the origin and the process by which a product was subjected to its availability to the end consumer. To develop a framework for traceability of the productive grain process, specification and implementation was performed by following the Software Engineering standards, with the management of Software Configuration. This article presents the first phase of this administration, component identification, applied to the development of this framework, as a team, with limited human and financial resources. As a result, the approach has allowed greater control of software components, the assimilation of the importance of team work and greater independence between members of the project. To reduce the development time of new projects, one solution is to establish greater granularity of components to be managed and define a part of the team responsible for the Software Configuration Management
Keywords— Agricultural Production, Managing Software Configuration, Software Development, Traceability.
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Comparative study for 3, 3´-[(4-X-phenyl)-methanediyl] bis(1H-indoles) synthesis catalyzed by Ce(III) cations
Abstract— Results of comparative study for 3,3´-[(4-X-phenyl)methanediyl]bis(1H-indoles) synthesis starting from 4-X-benzaldehyde (X = H, OCH3, N(CH3)2, NO2, OH) and 1H-indole in dichloromethane solution at room temperature and catalyzed by cerium trichloride heptahydrate or by new resin supported Ce(III) catalyst are described. It was found that Ce(III) cations supported on weakly acidic macroporous low-cost industrial resin have at least the same or better catalytic activity as CeCl3.7H2O (or other mentioned catalytic systems) advantageously its easy separation for a recycling.
Keywords— Green chemistry, Heterocycles, One-pot synthesis, Supported catalysts.
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Chaos Modulation by Mach-Zehnder Interferometer
Abstract— We report an experimental evidence of the generation of spiking in semiconductor laser (SL) with optoelectronic feedback (OEFD) using Mach-Zehnder modulator (MZM). The chaotic optical output of SL has been modulated by an external periodic perturbation with different frequencies (0 -110) MHz range. Two white noise-induced phenomena, the coherence resonance (CR) and the stochastic resonance (SR) have been studied at chaotic laser output. The noise intensity range -36 dBm to12 dBm has been utilized,. In SR, periodic signal with constant frequency 500 KHz and different noise level from (-36 dBm to12 dBm) have been applied as a control parameter in this condition.
Keywords— Chaos, feedback, Mach-Zehnder Modulator (MZM), coherence resonance, stochastic resonance.
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E.coli and coliform concentrations in developed and undeveloped nearshore surface water within an inland lake
Abstract— There are a number of sources that impact the microbial water quality of nearshore surface water. These include development, avian species, and rainfall, to name just a few. It is often difficult to elucidate the exact cause of these changes due to numerous variables that cannot be controlled. However, the development of shorelines has often been implicated in eroded nearshore water quality. This study utilized a single lake that has minimal inputs of microorganisms from external sources such as rivers, outfalls, avian species, etc.. The lack can easily be divided into developed and undeveloped regions as the US Forest Service owns a good portion of the lake shoreline. This greatly decreases the variables between sampling locations. The overall objective of this study was to evaluate if residential development along an inland lakeshore would impact E.coli and/or coliforms found in the adjacent nearshore surface water. The developed regions of the lake showed significantly higher (alpha<0.05) concentrations of coliforms and E.coli when compared to undeveloped regions for all three seasons of the study. While the study lasted three sample seasons, each year resulted in very similar overall results to each other. Yearly means of coliforms and E.coli at each sample location group were compared to each other and found that the means between these groups were similar each year and not statistically different. While this project does not suggest what the cause of the increased coliform and E.coli concentrations in the nearshore, it does provide an important contribution to other work that suggests development may adversely impact nearshore water quality. This unique study site could be used for future studies due to unusual ability to control extraneous inputs of coliforms and E.coli.
Keywords— bacteria in water, E. coli, inland lake, shoreline development, water quality.
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Mining of Datasets using Big Data Technique: Hadoop Platform
Abstract— BIG DATA IS THE FUTURE OF IT INDUSTRY. Here see the methodology i.e. ETL process used for analysis of big data by using Hadoop ecosystem. The analysis of big data extracts business values from the raw data and helps in gaining competitive advantage by different organisations. There is a drastic growth of data in the web applications and social networking and such data are said be as Big Data. It requires huge amount of time consumption to retrieve those datasets. It lacks in performance analysis. To overcome this problem the Hive queries with the integration of Hadoop are used to generate the report analysis for thousands of datasets. The objective is to store the data persistently along with the past history of the data set and performing the report analysis of that data set. The main aim of this system is to improve performance through parallelization of various operations such as loading the data, index building and evaluating the queries. Thus the performance analysis is done with parallelization. HDFS file system is used to store the data after performing the MapReduce operations and the execution time is decreased when the number of nodes gets increased. The performance analysis is tuned with the parameters such as the execution time and number of nodes.
Keywords— Big Data, Hadoop, HDFS.
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Feature Based Tool Path Generation System for FDM
Abstract— Integration of Computer Aided Design and Manufacturing process in important for any firm during its business operations. An important aspect in this step is modelling of the part using manufacturing features. These features explicitly capture manufacturing attributes. This process is implemented in many of the CAM software for conventional manufacturing processes. But when it comes to special processes like 3D printing, this philosophy has not been implemented. The way the code is generated for 3D printing is quite different when compared to conventional manufacturing. Slicing is used for generating the code during 3D Printing. The generated part model is exported to stl file and this stl file is then sliced along z-direction to facilitate code generation. The current work investigates into use of feature based modelling to simplify slicing techniques. Based on the modelling, a z-buffer of loops is generated. This z-buffer is modified each time a feature is added to a part. This z-buffer is then used to generate the code. This process helps in quicker modification of code by eliminating the need of exporting and slicing each time. This helps integrating the 3D printing module into any CAD software thus eliminating the slicing procedure partially. This also helps in controlling the errors and tolerances in the part generated by 3D Printing. As a part of implementing this principle, AutoCAD customized using VB.NET.
Keywords— 3D Printing, Feature Based Modeling, Automatic code generation, Z-Buffer, CAD.
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Potential of Terrestrial Laser Scanner techniques and Geographic Information System for Concrete Dam Monitoring
Abstract— Monitoring the deformation of concrete dams is of vital importance for avoiding catastrophic loss of infrastructure and life. However, dams monitoring still being a challenging task. In the last years, significant efforts have been undertaken by international researchers to find an efficient way for deformation monitoring of this kind of structures. This paper aims threefold. Firstly, to present different methods and means using for monitoring concrete dams. Secondly, to identify the opportunities that could potentially improve the inspections and the monitoring behavior using Terrestrial Laser Scanner (TLS) techniques. Based on a dense and accurate 3D point cloud and images provided by TLS, it is possible to detect vertical and horizontal deformations and all pathologies affecting the dam safety, such as cracks. Thirdly, to show the importance of Geographic Information System (GIS) that allows managing a 3D database, spatial analysis of all external pathologies, planning with developing a suitable monitoring plan and decision making. In this paper, it is clearly highlighted the importance of using TLS and GIS in order to develop an effective dam monitoring process that can help identify structural problems before they become critical and endanger public safety.
Keywords— Concrete dam, GIS, Monitoring, TLS.
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Transport of granular matter on an inclined vibratory conveyor with circular driving
Abstract— I present a theoretical model to investigate the transport properties of granular materials on an inclined vibratory conveyor driven by circular oscillations. My model treats the granular dynamics on a vibratory conveyor as a combination of sliding and oblique hopping of a granular block with specific inelastic and frictional properties. The calculations show optimal transport conditions for the transport velocity efficiency, with an extra transport velocity efficiency minimum when the inclination of the vibratory conveyor is non zero. The investigations also show a current reversal under a certain inclination angle which does depend on the friction force.
Keywords— Granular matter, vibratory conveyors, transport velocity efficiency, current reversal, optimal transport conditions.