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Denis Klimov

Publications and source records attributed to Denis Klimov.

2 recordsLinked to original sources

Measuring photosynthetic parameters at a distance: laser induced fluorescence transient (LIFT) method for remote measurements of photosynthesis in terrestrial vegetation.

We have developed a laser induced fluorescence transient (LIFT) technique and instrumentation to remotely measure photosynthetic properties in terrestrial vegetation at a distance of up to 50 m. The LIFT method uses a 665 nm laser to project a collimated, 100 mm diameter excitation beam onto leaves of the targeted plant. Fluorescence emission at 690 nm is collected by a 250 mm reflective telescope and processed in real time to calculate the efficiency of photosynthetic light utilization, quantum efficiency of PS II, and the kinetics of photosynthetic electron transport. Operating with peak excitation power of 125 W m-2, and duty cycle of 10-50%, the instrument conforms to laser safety regulations. The LIFT instrument is controlled via an Internet connection, allowing it to operate from remote locations or platforms. Here we describe the theoretical basis of the LIFT methodology, and demonstrate its applications in remote measurements of photosynthetic properties in the canopy of cottonwood and oak trees, and in the rosette of Arabidopsis mutants.

Fluorescence↗

A framework for intelligent visualization of multiple time-oriented medical records.

Management of patients, especially chronic patients, requires presentation and processing of very large amounts of time-oriented clinical data. Using regular means such as text or tables is often ineffective, thus we propose to use the visual presentation of the information in decision support, especially in the medical domain. Displaying only raw data is not sufficient, because it still requires the user to derive meaningful conclusions from large amount of data. In order to support the computation process, we provide automated mechanisms for temporal abstraction. These mechanisms perform derivation of context-specific, interval-based abstract concepts from raw time-stamped clinical data, by using a domain-specific knowledge base. Then, these abstractions can be visualized and explored. In addition, in many cases (e.g. when comparing the effect of new drugs on various groups of patients) a view of multiple records is more effective than a view of each indi-vidual record separately. We have designed and implemented a system called VISITORS (VisualizatIon of Time-Oriented RecordS) which includes several tools for intelligent visualization and exploration of raw data and abstracted concepts for multiple patient records.

Abstracting and Indexing↗