Clinical diagnosis of pathological conditions is accomplished regularly via the recording and subsequent analysis of a physiological variable from a subject. Problems with current common practice Centre around the obt...
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ISBN:
(纸本)0769520871
Clinical diagnosis of pathological conditions is accomplished regularly via the recording and subsequent analysis of a physiological variable from a subject. Problems with current common practice Centre around the obtrusive and rigid nature of this process. These include the length, timing and location of the diagnostic recording session, transfer of data to clinical staff, liaison between clinical staff and subjects and the integration of such diagnostic check-ups into the overall health care process. We have designed a modular diagnostic monitor that is centered around a wearable computer system which, when integrated into a suitable computer network and database architecture, is capable of addressing the above problems. The system is modular allowing researchers and practitioners to utilise various sensor modules, reconfigure the unit in terms of its on-board storage and wireless telemetry capabilities, select the appropriate level of data preprocessing (before archiving data) and choose the appropriate level and nature of feedback to the subject. The system is GRID enabled, supporting e-clinical-trials. GRID clients can display live data, historical data, or perform data mining.
Recent developments of mobile Internet and wireless technologies bring new opportunities and challenges to GIS research and applications. In this paper, we propose a new framework for accessing and integrating distrib...
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Interval-based synchronization provides the nodes of a distributed system with guaranteed bounds on a common time. This is a crucial piece of infrastructure in many distributed sensing and actuating systems. In this p...
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ISBN:
(纸本)1581138466
Interval-based synchronization provides the nodes of a distributed system with guaranteed bounds on a common time. This is a crucial piece of infrastructure in many distributed sensing and actuating systems. In this paper, we propose a modification to a known interval-based synchronization algorithm;our new algorithm obtains substantially better results in sensor-network scenarios by taking advantage of the typical drift diversity of the nodes' clocks. We propose a model for synchronization in ad-hoc, sporadic-communication scenarios. The model allows us to identify the worst and the best case in terms of achievable time uncertainty and to show the worst-case optimality of the discussed algorithms. Simulations show that in the average case, our modification significantly reduces the time uncertainty.
This paper discusses design of a current sensor suitable for on-chip testing of RF circuits. The proposed sensor detects supply current (Idd) variations, with minimal impact on the circuit performance. Bandwidth of th...
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This paper discusses design of a current sensor suitable for on-chip testing of RF circuits. The proposed sensor detects supply current (Idd) variations, with minimal impact on the circuit performance. Bandwidth of the circuit is 3.4GHz, with a constant gain of 31.7dB. The sensor has been implemented in IBM-6RF, 0.25μ CMOS technology, with 2.5V power supply and it offers the low real estate overhead and high dynamic range required for this application.1.
sensor networks are comprised of devices having the ability to communicate, compute and sense the environment. A wide range of information processing tasks have been studied for such networks, including operating syst...
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ISBN:
(纸本)0780384636
sensor networks are comprised of devices having the ability to communicate, compute and sense the environment. A wide range of information processing tasks have been studied for such networks, including operating systems, issues, architecture optimization, and distributed data processing. In this paper, we analyze and compare four different techniques to estimate the gradient of the function represented by the sensor samples. These include: (GA1) a simple device ID defined direction, (GA2) directional derivative, (GA3) polynomial approximation with a plane, and (GA4) polynomial approximation with a quadratic. We compare these based on density of devices per unit area, and noise in the position and sensed data. The interesting result is that GA3 significantly outperforms the other algorithms, although GA1 performs very well and is much easier to compute than the others.
The size and complexity of digital systems doubles from one generation to the next. This has made verification a difficult task In order to build future digital systems designers will need verification tools that are ...
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The size and complexity of digital systems doubles from one generation to the next. This has made verification a difficult task In order to build future digital systems designers will need verification tools that are fast and can accommodate large designs. In this paper we present a novel partitioning and control scheme of an emulation system for which the response time, seen by the environment, for the design being emulated can be made independent of the design size. Coupled with the fact that this technique also results in a modular control scheme, this, in principle, promises unlimited scalability. The individual emulation modules operating under this control scheme resemble a particular form of an asynchronous pipeline. We show, using simulations that the throughput performance of this pipeline is dominated by the worst-case behaviour of individual modules (in the same manner as is observed for a normal pipeline). We argue that this pipelined architecture enables the construction of arbitrarily large emulation systems in a natural and structured manner.
This work discusses the partial immersion of real-time, real-world robotic intelligent sensor agents into a virtualized reality environment. The work also discusses the current solutions for the wireless communication...
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This work discusses the partial immersion of real-time, real-world robotic intelligent sensor agents into a virtualized reality environment. The work also discusses the current solutions for the wireless communication amongst the robots and the network access points, the local intelligence built into the individual agents and the human-computer interaction that allows the human operator to partially immerse himself/herself into the robotic environment.
Efficient navigation of mobile platforms in dynamic, human centered environments is still an open research topic. We have already proposed an architecture (MEPHISTO) for a navigation system that is able to fulfill the...
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Efficient navigation of mobile platforms in dynamic, human centered environments is still an open research topic. We have already proposed an architecture (MEPHISTO) for a navigation system that is able to fulfill the main requirements of efficient navigation: fast and reliable sensor processing, extensive global world modeling and distributed path planning. Our architecture uses a distributed system of sensor processing, world modeling and path planning units. In this paper we present some implemented methods in the context of dynamic object detection and global and mobile sensor data fusion for 3D world modeling. Experimental results of the system in the laboratory environment are presented.
sensor networks are comprised of devices having the ability to communicate, compute and sense the environment. A wide range of information processing tasks has been studied for such networks, including operating syste...
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sensor networks are comprised of devices having the ability to communicate, compute and sense the environment. A wide range of information processing tasks has been studied for such networks, including operating systems, issues, architecture optimization, and distributed data processing. In this paper, we analyze and compare four different techniques to estimate the gradient of the function represented by the sensor samples. These include: (GA1) a simple device ID defined direction, (GA2) directional derivative, (GA3) polynomial approximation with a plane, and (GA4) polynomial approximation with a quadratic. We compare these based on density of devices per unit area, and noise in the position and sensed data. The interesting result is that GA3 significantly outperforms the other algorithms, although GA1 performs very well and is much easier to compute than the others.
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