Spatially explicit models linking biological field data with remotely-sensed land cover data have become commonplace for landscape-scale biodiversity assessments, but they usually neither consider time series data nor...
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ISBN:
(纸本)9788890357411
Spatially explicit models linking biological field data with remotely-sensed land cover data have become commonplace for landscape-scale biodiversity assessments, but they usually neither consider time series data nor include future scenarios. Extrapolation models addressing these deficiencies for three keystone species/groups of the Kakamega-Nandi forests in western Kenya proved to be a suitable means for investigating the effects of long-term land change processes on the development of forest biodiversity in space and time. However, the experimental modelling design of the approaches is not considered convenient for a more comprehensive, interlinked assessment including more species/groups and also ecosystem functions and services, nor is it adequate for a strong local stakeholder engagement. Here we introduce a conceptualisation for an integrated forest ecosystem assessment tool to be used as regional spatial decision support system in participatory forest management and planning. The tool is based on ArcEngine technology and composed of two tightly coupled frameworks, land cover change modelling and empirical extrapolation modelling, which use a common visualisation component. The land cover change modelling framework allows creating prospective normative scenarios as well as running future landscape projections and provides an interface for sketch-based modelling, thus enabling freehand drawings from stakeholders to be directly included. The results from the land cover change modelling will directly feed in the extrapolation modelling framework which will provide a tailored suite of GIS functionalities typically needed for establishing spatially explicit procedures (e.g. local and focal functions). All functionalities of the tool will be embedded into a user-friendly GUI.
A fully coupled aero-elastic simulation technology is developed with enough sophistication to have the features required to perform loads analyses for a variety of wind turbine configurations. Blade and tower are mode...
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SIGDOC is the Association for Computing Machinery's Special Interest Group (SIG) on the Design of Communication (DOC). Until 2003, SIGDOC focused on documentation for hardware and software. With the shift in focus...
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ISBN:
(纸本)9781450304030
SIGDOC is the Association for Computing Machinery's Special Interest Group (SIG) on the Design of Communication (DOC). Until 2003, SIGDOC focused on documentation for hardware and software. With the shift in focus from systems to computer documentation to the design of communication, SIGDOC has better positioned itself to emphasize the potentials, practices, and problems of multiple kinds of communication technologies, such as Web applications, userinterfaces, and online and print documentation. SIGDOC focuses on the design of communication as it is taught, practiced, researched, and conceptualized in various fields, including technical communication, software engineering, information architecture, and usability, etc. The traditional SIGDOC members were likely to be teachers, researchers, and/or practitioners of computer documentation. Today, members of SIGDOC include information design professionals, educators, researchers, software engineers, Web designers, system developers, usability specialists, computer scientists, userinterface designers, and information technology specialists. What is the next sustainable change on the Design of Communication?
The emergence of model driven methodologies is bringing new challenges for software prototyping. Models tend to focus on the design of the system, and are less concerned with, or less able to, support prototype qualit...
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The emergence of model driven methodologies is bringing new challenges for software prototyping. Models tend to focus on the design of the system, and are less concerned with, or less able to, support prototype qualities like reuse, evolution, or weaving together independently designed parts. This paper presents a model-oriented prototyping tool called Umple that supports model driven engineering and overcomes some of the challenges related to prototyping in a modeling environment. Umple allows end users to quickly model class and state machine models and to incrementally embed implementation artifacts. At any point in the modeling process, users can quickly generate a fully functional prototype that exposes modeling implications on the userinterface, and allows stakeholders to quickly get a feel of how the full system will behave.
Analog circuits and systems research and education can benefit from the flexibility provided by large-scale Field Programmable Analog Arrays (FPAAs). This paper presents the hardware and software infrastructure suppor...
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Analog circuits and systems research and education can benefit from the flexibility provided by large-scale Field Programmable Analog Arrays (FPAAs). This paper presents the hardware and software infrastructure supporting the use of a family of floating-gate based FPAAs being developed at Georgia Tech. This infrastructure is compact and portable and provides the user with a comprehensive set of tools for custom analog circuit design and implementation. The infrastructure includes the FPAA IC, discrete ADC, DAC and amplifier ICs, a 32-Bit ARM based microcontroller for interfacing the FPAA with the user's computer, and Matlab and targeting software. The FPAA hardware communicates with Matlab over a USB connection. The USB connection also provides the hardware's power. The software tools include three major systems: a Matlab Simulink FPAA program, a SPICE to FPAA compiler called GRASPER, and a visualization tool called RAT. The hardware consists of two custom PCB designs which include a main board used to program and control an FPAA IC and an FPAA IC adaptor board used to interface a QFP packaged FPAA IC with the 100 pin ZIF socket on the main programming and control board.
When you talk to a person, it's safe to assume that you both share large bodies of "common sense knowledge." But when you converse with a programmed computer, neither of you is likely to know much about ...
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ISBN:
(纸本)9781450302715
When you talk to a person, it's safe to assume that you both share large bodies of "common sense knowledge." But when you converse with a programmed computer, neither of you is likely to know much about what the other one ***, in some respects this is desirable - as when we're concerned with our privacy. We don't want strangers to know our most personal goals, or all the resources that we may ***, when we turn to our computers for help, we'll want that relationship to change - because now it is in our interest for those systems to understand our aims and goals, as well as our fears and phobias. Indeed, the extents to which those processes "know us as individuals".Issues like these will always arise whenever we need a new interface - and as one of my teachers wrote long ago, "The hope is that, in not too many years, human brains and computing machines will be coupled together very tightly, and that the resulting partnership will think as no human brain has ever thought and process data in a way not approached by the information-handling machines we know today."1Indeed, the '60s and '70s saw substantial advancestowars this but it seems to me that then progress slowed down. If so, perhaps this was partly because the AI community moved from semantic and heuristic methods towards more formal (but less flexible) statistical schemes. So nowI'd like to see more researchers remedy this by developing systems that use more commonsense knowledge.
For software visualization researchers taking the pragmatic philosophical stance, the ultimate measure of success is adoption in industry. For you as researcher, what can be more satisfying than enthusiastic developer...
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ISBN:
(纸本)9781450300285
For software visualization researchers taking the pragmatic philosophical stance, the ultimate measure of success is adoption in industry. For you as researcher, what can be more satisfying than enthusiastic developers being able to work better and more efficiently thanks to your beautiful visualization of their software?One of the aims of this talk is to reflect on factors affecting impact in practice of software visualization research. How does rigorous empirical evaluation matter? What is the role of foundational research that does not subscribe to the philosophy of pragmatism? Can we make meaningful predictions of adoption in practice if this takes 10 years or more?During the talk, I will illustrate the dilemmas, opportunities, and frustrations involved in trying to achieve practical impact with examples drawn from my own research in such areas as software architecture analysis, documentation generation, and Web 2.0 userinterface reverse engineering.I will also shed light on some of my most recent research activities, which includes work in the area of spreadsheet comprehension. This is research that we conduct with a major (Dutch) financial asset management firm. Our work consists of the identification of information needs for professional spreadsheet users, a visualization to address these needs, and an evaluation of this visualization with practitioners conducting real-life spreadsheet *** the talk, I will encourage the audience to engage in the discussion, and contribute their own perspectives on the issues that I raise in my talk.
We explore the use of modern recommender system technology to address the problem of learning software applications. Before describing our new command recommender system, we first define relevant design considerations...
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ISBN:
(纸本)9781605587455
We explore the use of modern recommender system technology to address the problem of learning software applications. Before describing our new command recommender system, we first define relevant design considerations. We then discuss a 3 month user study we conducted with professional users to evaluate our algorithms which generated customized recommendations for each user. Analysis shows that our item-based collaborative filtering algorithm generates 2.1 times as many good suggestions as existing techniques. In addition we present a prototype userinterface to ambiently present command recommendations to users, which has received promising initial user feedback.
This paper describes a multi-FPGA based platform for emulating the Loongson-2G micro-processor on different mother boards. This platform is developed targeting at verification and evaluation of the Loongson-2G micro-p...
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ISBN:
(纸本)9781605589114
This paper describes a multi-FPGA based platform for emulating the Loongson-2G micro-processor on different mother boards. This platform is developed targeting at verification and evaluation of the Loongson-2G micro-processor, which is the next generation of Loongson-2 family, composed by one four-issue, out-of-order execution way 64-bit MIPS-compatible processor core named GS464, one 1M byte secondary Cache, one HyperTransport IO interface, one DDR2/3 memory interface and some other low speed IO interfaces. Most parts of this micro-process are mapped into the multi-FPGA based platform which consists two Vertex-5 330 FPGA chips. Semi-custom partitioning tactics within the entire design flow are developed to synthesize the whole designed into the multi-FPGA based platform. Modifications in architectural level are applied to the original architecture of the chip, in order to make it easy to be partitioned into two parts. High speed SEDES of HyperTransport IO link and DDR2/3 memory interface are emulated by using several clocks with different clock phases. To resolve the problem that hard to debug in FPGA system, a method by software probe with help of injected hardware modules in FPGA is developed and used to debug the problem causing by behavior mismatching between the ASIC ram block and the FPGA ram block. Some evaluation work on performance of Loongson-2G is done on this multi-FPGA based platform as pre-silicon test. To the authors' knowledge, there has been no previous work on such a big design used for verification and evaluation.
In this paper we present a novel interface for selecting sounds in audio mixtures. Traditional interfaces in audio editors provide a graphical representation of sounds which is either a waveform, or some variation of ...
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ISBN:
(纸本)9781605587455
In this paper we present a novel interface for selecting sounds in audio mixtures. Traditional interfaces in audio editors provide a graphical representation of sounds which is either a waveform, or some variation of a time/frequency transform. Although with these representations a user might be able to visually identify elements of sounds in a mixture, they do not facilitate object-specific: editing (e.g. selecting only the voice of a singer in a song). This interface uses audio guidance from a user in order to select a target sound within a mixture. The user is asked to vocalize (or otherwise sonically represent) the desired target sound, and an automatic process identifies and isolates the elements of the mixture that best relate to the user's input. This way of pointing to specific parts of an audio stream allows a user to perform audio selections which would have been infeasible otherwise.
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