Salvage logging after natural disturbance has received increased scrutiny in recent years because of concerns over detrimental effects on tree regeneration and increased fine fuel levels. Most research on tree regeneration after salvage logging comes from fire-prone systems and is short-term in scope. Limited information is available on longer term responses to salvage logging after windstorms ...

Recently stream logging has been referred to widely by web based and product based companies. Stream logging is one of the most important topic of agenda in business re-engineering. Business re-engineering is done in order to improve the effectiveness and productiveness of a particular product or service. Stream logging is achieved with minimum cost using transaction based model over a distribu...

One of the crucial steps geological object exploration is interwell correlation. The correlation matches similar parts different wells helping to construct models and assess hydrocarbon reserves. Today, a detailed relies on manual analysis well-logging data: process prone significant time consumption subjectivity. Alternative automation attempts include rule-based, classic machine learning, mor...

Thisdissertation explores the implications of emergent non-volatilememory (NVM) technologies for database management systems (DBMSs). The advent of NVM will fundamentally change the dichotomy between volatile memory and durable storage in DBMSs. These new NVM devices are almost as fast as DRAM, but all writes to it are potentially persistent even after power loss. Existing DBMSs are unable to t...

We propose a low-overhead logging scheme for the distributed shared memory system based on the lazy release consistent memory model. In the proposed scheme, stable logging is performed when a lock grant causes an actual dependency relation between the processes, which significantly reduces the logging frequency. Also, instead of making a stable log of the accessed data items, a process logs sta...

This paper describes an experiment system framework that enables researchers to design and conduct task-based experiments for Interactive Information Retrieval (IIR). The primary focus is on multidimensional logging to obtain rich behavioral data from participants. We summarize initial experiences and highlight the benefits of multidimensional data logging within the system framework.

 Checkpointing schemes facilitate fault recovery in distributed systems. The present work extends James S Plank’s Diskless checkpointing scheme (N+1 Parity) by introducing ‘Timeout’ to checkpoint programs with high locality of reference. This mechanism enables applications with high locality of reference to take checkpoints periodically. The limitation of N+1 Parity scheme is that all the proc...

In this work an advanced data logging approach for the RoboCup domain using an autonomous camera man is presented. It includes approaches from the field of real-time robot message logging, situation based camera control and 3D video visualisation. Based on the implementation of this work the RoboCup team of the IPVS of the University of Stuttgart won the first price in the scientific challenge ...

water logging stress is one of the most important factors which affect wheat production particularly in western regions of golestan province. this experiment was carried out in order to evaluate of six genotypes (n-81-18, arta, moghan, n-80-19, urwyt-82-11 and urwyt-82-17) of bread wheat in water logging condition at 2006-2007 growing season in gorgan agricultural research station. the experime...

With the ever growing importance of the service-oriented paradigm in system architectures more and more (business) processes will be executed using service-oriented systems. Therefore, we believe that the ability to discover processes in loosely-coupled systems is essential in system optimization. Firstly, we briefly describe our previously introduced idea of Web Services Interaction Mining (WS...