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In high-performance computing (HPC) platform, resource usage pattern changes over time which makes the resource monitoring a challenge. Maintaining the performance goals within a good power range is very critical where servers suffer from under utilisation, failure or degraded hardware support. Better forecast of the workload can reduce the energy cost by predicting the future workload more accurately...
Repeated exposures to psychological stress can lead to or worsen diseases of slow accumulation such as heart diseases and cancer. The main challenge in addressing the growing epidemic of stress is a lack of robust methods to measure a person's exposure to stress in the natural environment. Periodic self-reports collect only subjective aspects, often miss stress episodes, and impose significant burden...
Large-scale scientific simulations routinely produce data of increasing resolution. Analyzing this data is key to scientific discovery. A critical bottleneck facing data analysis is the I/O time to access the data due to the disparity between a simulation's data layout and the data layout requirements of analysis applications. One method of addressing this problem is to reorganize the data in a manner...
In this paper, Layered Spiral Algorithm (LSA) is proposed for memory-aware application mapping and scheduling onto Network-on-Chip (NoC) based Multi-Processor System-on-Chip (MPSoC). The energy consumption is optimized while keeping high task level parallelism. The experimental evaluation indicates that if memory-awareness is not considered during mapping and scheduling, memory overflows may occur...
Recent advances in sensor technology, remote communication and computational capabilities, and standardized hardware/software interfaces are creating a dramatic shift in the way the health of vehicles is monitored and managed. Concomitantly, there is an increased trend towards the forecasting of system degradation through a prognostic process to fulfill the needs of customers demanding high vehicle...
Data mining deals with extracting or mining knowledge from large and infinite amount of stream data. It also handles the data quality with limited volume of disk or memory. In such traditional transaction environment it is impossible to perform frequent items mining because it requires analyzing which item is a frequent one to continuously incoming stream data and which is probable to become a frequent...
The Land Information System (LIS) is a multiscale hydrologic modeling and data assimilation framework that integrates the use of satellite and ground-based observational data products with advanced land-surface modeling tools to aid several application areas, including water resources management, numerical weather prediction, agricultural management, air quality, and military mobility assessment.
Much of the published research literature on distillation column dynamics and control has been focussed on binary systems or on multicomponent systems in which key components are used to define the operations. This paper presents both non-linear mass and energy balance models and experimental results for an extractive distillation system separating acetone from methanol using a water solvent. The...
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