Data mining is the extraction of useful information or knowledge from bodies of data. Data mining is also sometimes referred to as knowledge discovery in databases. Clementine is a comprehensive, integrated toolkit wh...
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Data mining is the extraction of useful information or knowledge from bodies of data. Data mining is also sometimes referred to as knowledge discovery in databases. Clementine is a comprehensive, integrated toolkit which provides active support for data mining in the form of neural network and rule induction learning techniques, passive support in the form of visualisation, statistical and browsing facilities, and peripheral support for data access and manipulation. Clementine's visual programming interface provides an environment which is easy to use for technological experts and non-experts alike, and provides a convenient organising framework for any data mining technique. Clementine makes machine learning accessible to non-experts. Clementine also goes beyond simple organisational advantages because it reduces the time taken to perform data mining experiments by one to two orders of magnitude. This means that experiments which would previously have been impractical in any realistic project are made possible by Clementine, effectively opening up new areas of exploration. The first commercial version of Clementine is currently on the market and is attracting a great deal of interest. Future versions will extend the machine learning facilities and provide many other new features. The utility of Clementine will continue to grow, and to provide new possibilities for data mining.
In this paper we build on a conceptual framing of computational empowerment that seeks to provide alternative endpoints for computer science (CS) education beyond degree attainment and job placement. But, as opposed t...
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At present, ecological and technological transition policies encourage the improvement of efficiency of engineering processes;this is the background for new methods for the digitalization of engineering works. The met...
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At present, ecological and technological transition policies encourage the improvement of efficiency of engineering processes;this is the background for new methods for the digitalization of engineering works. The methodological approach of Building Information Modeling (BIM) brings a great wave of innovation, probably destined to replace previous approaches to the designing, maintenance, and management phases. The aim of this paper is to propose a methodology to apply BIM to the archaeological field (Heritage BIM - HBIM), with a focus on stone paved roads. It addresses the case study of a stretch of stone paved road located in the Archaeological Site of Pompeii in Italy. For the development of the digital model, several BIM-based tools have been used, starting from a laser scanner-based survey, which led to a point cloud that was subsequently coordinated with certain referenced points to achieve a correct geo-referenced point cloud. The corridor design process was performed by developing a Digital Terrain Model (DTM) of the paved surface and customizing the cross-section. Meanwhile, a visual programming application based on Python language was used to enrich the usability of the model itself with further operations. As result, a tool is proposed to be used in maintenance, management and restoration projects, for archaeological assets.
Nowadays the inclusion of CAD software is well-established in Geometry teaching within the field of Architectural Graphic Expression. In this environment, we suggest the introduction of visual programming software too...
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Nowadays the inclusion of CAD software is well-established in Geometry teaching within the field of Architectural Graphic Expression. In this environment, we suggest the introduction of visual programming software tools which would allow us to focus on the logical relationship between geometric elements and on the generation processes of curves and surfaces. The aim is to explore the link between the possibilities offered by these tools and the curriculum contents. We present some examples developed as complementary materials to significant topics usually covered in a Geometry course and we discuss some advantages and difficulties found after students test them during an ordinary course.
Simulation models are primary tools for synthesizing plant physiological knowledge, supporting farmers' decisions and predicting crop yields and functioning under climate change. The conventional approach within t...
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Simulation models are primary tools for synthesizing plant physiological knowledge, supporting farmers' decisions and predicting crop yields and functioning under climate change. The conventional approach within the scientific community consists of disseminating model outcomes through articles and technical reports, often impeding the share of knowledge among science, policy and society. This work presents the mandala (modelled and abstracted plant), a simulation model translating crop phenology and physiology as a function of environmental drivers into symbols and sounds, focussing on plant responses to cold, drought and heat stresses. The mandala has been realized with object-oriented (C#) and visual (vvvv) programming, and the source code is free for extension and improvement. We tested the mandala in six heterogeneous climates to show the potential to convey essential information on maize and wheat growth and responses to abiotic stresses. Despite lacking in artistic refinement, this work attempts to illustrate that visual and sound art can serve as unconventional means of disseminating crop model insights while showing their potential to enhance the breadth of information delivered to the public.
Construction site layout planning (CSLP) is the process of allocating temporary facilities needed on construction site. It is a complex process that aims at minimizing travel distances while improving productivity and...
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Construction site layout planning (CSLP) is the process of allocating temporary facilities needed on construction site. It is a complex process that aims at minimizing travel distances while improving productivity and safety. Although previous studies have enhanced the CSLP, there is a lack of studies that benefit from the potential of Building Information Modelling (BIM)-Generative Design (GD) integration in the field of site layout planning. This study aims to understand the CSLP problem from new aspects to facilitate its use for construction practitioners and site planners. The research presents a new modelling and optimization concept that utilizes BIM-GD tool to target optimum construction site layout plans to ensure a safe and productive work environment. The developed model applies the parametric visual programming basics (VP) to build the layout problem for optimization. The research includes a case study from the literature to demonstrate the applicability of the proposed model. The results show a high validity for the model compared with previous models in terms of defining the problem from new aspects and applying all the calculations within the BIM environment software. The presented study shows great potential from the GD tool for more practical and complex applications in future research.
When students are learning to develop algorithms, they very often spend more time dealing with issues of syntax than solving the problem. Additionally, the textual nature of most programming environments works against...
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When students are learning to develop algorithms, they very often spend more time dealing with issues of syntax than solving the problem. Additionally, the textual nature of most programming environments works against the learning style of the majority of students. RAPTOR is a flowchart-based programming environment, designed specifically to help students visualize their algorithms and avoid syntactic baggage. RAPTOR programs are created visually and executed visually by tracing the execution through the flowchart. Required syntax is kept to a minimum. Students preferred using flowcharts to express their algorithms, and were more successful creating algorithms using RAPTOR than using a traditional language or writing flowcharts without RAPTOR.
Embedded vision processing is currently ingrained into many aspects of modern life, from computeraided surgeries to navigation of unmanned aerial vehicles. Vision processing can be described using coarse-grained data ...
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ISBN:
(纸本)9781538666906
Embedded vision processing is currently ingrained into many aspects of modern life, from computeraided surgeries to navigation of unmanned aerial vehicles. Vision processing can be described using coarse-grained data flow graphs, which were standardized by OpenVX to enable both system and kernel level optimization via separation of concerns. Notably, graph-based specification provides a gateway to a code generation engine, which can produce an optimized, hardware-specific code for deployment. Here we provide an algorithm and JAVA-MVC-based implementation of automated code generation engine for OpenVX-based vision applications, tailored to NVIDIA multiple CUDA Cores SoC Jetson TX. Our algorithm pre-processes the graph, translates it into an ordered layer-oriented data model, and produces C code, which is optimized for the Jetson TX1 and comprised of error checking and iterative execution for real time vision processing.
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