Connected Components Workbench design and configuration software offers controller programming and simulation, device configuration, and integration with HMI editor. Learn how the Logix Theme simplifies your user experience.
Learn more about Connected Components Workbench software with our comprehensive range of tutorial videos and virtual demonstrations that provide guidance from programming Micro800 controllers to configuring PanelView 800 graphic terminals and related devices.
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We offer simple and cost-effective micro-automation solutions for small to large standalone machines. Our integrated design software offers controller programming and simulation, device configuration and integration with HMI editor to design and develop machines quickly.
Waveform Free 12 lends itself perfectly to electronic music production. Offering inline MIDI and Step Clip access for speedy programming, a powerful rack environment for complex fx processing and sound design plus a variety of Instruments and including: 4OSC synth, Micro Drum Sampler, Micro Sampler and a new Rompler. A brand new browser offering tags and smart lists helps manage vast sample libraries and locate your favorite plugins and instruments in a flash.
Xilinx ISE[2] (Integrated Synthesis Environment)[3] is a discontinued software tool from Xilinx for synthesis and analysis of HDL designs, which primarily targets development of embedded firmware for Xilinx FPGA and CPLD integrated circuit (IC) product families. It was succeeded by Xilinx Vivado. Use of the last released edition from October 2013 continues for in-system programming of legacy hardware designs containing older FPGAs and CPLDs otherwise orphaned by the replacement design tool, Vivado Design Suite.
ISE enables the developer to synthesize ("compile") their designs, perform timing analysis, examine RTL diagrams, simulate a design's reaction to different stimuli, and configure the target device with the programmer. Other components shipped with the Xilinx ISE include the Embedded Development Kit (EDK), a Software Development Kit (SDK) and ChipScope Pro.[4] The Xilinx ISE is primarily used for circuit synthesis and design, while ISIM or the ModelSim logic simulator is used for system-level testing.[5][6]
Biophilia in Context looks at the evolution of biophilic design in architecture and planning and presents a framework for relating the human biological science and nature. Design Considerations explores a sampling of factors (e.g., scale, climate, user demographics) that may influence biophilic design decisions to bring greater clarity to why some interventions are replicable and why others may not be. The Patterns lays out a series of tools for understanding design opportunities, including the roots of the science behind each pattern, then metrics, strategies and considerations for how to use each pattern. This paper moves from research on biophilic responses to design application as a way to effectively enhance health and well-being for individuals and society.
The physiological system needs to be tested regularly, but only enough for the body to remain resilient and adaptive. Physiological responses to environmental stressors can be buffered through design, allowing for the restoration of bodily resources before system damage occurs (27. Steg, 2007 ).
The table illustrates the functions of each of the 14 Patterns in supporting stress reduction, cognitive performance, emotion and mood enhancement and the human body. Patterns that are supported by more rigorous empirical data are marked with up to three asterisks (***), indicating that the quantity and quality of available peer-reviewed evidence is robust and the potential for impact is great, and no asterisk indicates that there is minimal research to support the biological relationship between health and design, but the anecdotal information is compelling and adequate for hypothesizing its potential impact and importance as a unique pattern.
As many biological responses to design occur together (e.g., reducing physiological indicators of stress and improving overall mood), and there are countless combinations of design patterns and interventions, understanding health related priorities will help focus the design process. Health outcomes associated with biophilic spaces are of interest to building and portfolio managers and human resources administrators, because they inform long term design and measurement best practices, and to planners, policy makers and others because they inform public health policy and urban planning.
Biophilic design patterns should be scaled to the surrounding environment and to the predicted user population for the space. Patterns can be applied at the scale of a micro-space, a room, a building, a neighborhood or campus, and even an entire district or city. Each of these spaces will present different design challenges depending on the programming, user types and dynamics, climate, culture, and various physical parameters, as well as existing or needed infrastructure.
Size and availability of space are two of the most common factors influencing feasibility of biophilic design patterns. For instance, the Prospect pattern [P11] typically requires significant space. Other patterns, such as Connection with Natural Systems [P7], may be more feasible where there is access to an outdoor space, which is a common challenge in dense urban environments. Yet small scale, micro-restorative Visual [P1] and Non-Visual Connections with Nature [P2] and Presence of Water [P5] can also be very effective. For instance, the psychological benefits of nature actually have been shown to increase with exposure to higher levels of biodiversity (118. Fuller el al., 2007 ), yet these benefits do not necessarily increase with greater natural vegetative area. From this we can derive that small, micro-restorative experiences that are also biodiverse are likely to be particularly effective at engendering a restorative biophilic experience.
As no two interventions will be exactly the same, all results will differ to one degree or another. Culture, climate, age, gender, landscape character, immigrant status, mental health, and genetic predispositions, for example, create a challenging labyrinth of data for comparison. Nevertheless, tracking and monitoring of human biological responses and outcomes triggered by a biophilic pattern is vital in the progress and further development of biophilic design as a best practice.
Finally, each pattern has been assessed for overall potential impact and the strength of the research on which a pattern is built. Unless otherwise noted, all examples reported are based on data published in a peer-reviewed journal. We acknowledge that some studies are more rigorous than others and that some patterns have a greater body of research to support findings of significance. To help communicate this variability, up to three asterisks are following each pattern name, whereby three asterisks (***) indicates that the quantity and quality of available peer-reviewed evidence is robust and the potential for impact is great, and no asterisk indicates that there is minimal research to support the biological relationship between health and design, but the anecdotal information is adequate for hypothesizing its potential impact and importance as a unique pattern.
Lighting design has long been used to set the mood for a space, and different lighting conditions elicit differing psychological responses. The impact of daylight on performance, mood and well-being has been studied for many years, in a variety of environments, and as a complex field of science and design, light has been extensively studied and written about.
While scientific documentation on the health impact of natural materials is limited, available research is beginning to shed light on opportunities for informed design. As such, the Material Connection with Nature pattern has evolved from a limited body of scientific research on physiological responses to variable quantities of natural materials, and the impact of natural color palette, particularly the color green, has on cognitive performance.
The Complexity & Order pattern has evolved from research on fractal geometries and preferred views; the perceptual and physiological responses to the complexity of fractals in nature, art and architecture; and the predictability of the occurrence of design flows and patterns in nature.[P10 Endnote ]
Nested fractal designs expressed as a third iteration of the base design (i.e., with scaling factor of 3) are more likely to achieve a level of complexity that conveys a sense of order and intrigue, and reduces stress (Salingaros, 2012), a quality lost in much of modern architecture, which tends to limit complexity to the second iteration, and consequently results in an arguably dull and inadequately nurturing form that fails to stimulate the mind or engender physiological stress reduction.
At either end of the spectrum, both non-fractal artwork and high-dimensional fractal artwork have been shown to induce stress (Hägerhäll et al., 2008; Taylor, 2006). Overly complex designs and environments may result in psychological stress and even nausea. According to Judith Heerwagen and Roger Ulrich, occupants in a US Navy office in Mississippi reported nausea, headaches and dizziness, symptoms frequently associated with poor indoor air quality or poor ventilation. It was determined that the interaction of multiple wall paper patterns, complex patterns in carpets and moiré patterns in seating fabrics caused surfaces to appear to move as occupants walked through the space and therefore caused extreme visual perception problems (Heerwagen, personal communication, March 2014).
The Complexity & Order pattern has evolved from research on fractal geometries and preferred views (Salingaros, 2012; Hägerhäll, Laike, Taylor et al., 2008; Hägerhäll, Purcella, & Taylor, 2004; Taylor, 2006); the perceptual and physiological stress responses to the complexity of fractals in nature, art and architecture (Salingaros, 2012; Joye, 2007; Taylor, 2006; S. Kaplan, 1988); and the predictability of the occurrence of design in nature (Bejan & Zane, 2012). 2ff7e9595c
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