Quartz is a full-featured, open source job scheduling system that can be integrated with, or used along side virtually any J2EE or J2SE application - from the smallest stand-alone application to the largest e-commerce system. Quartz can be used to create simple or complex schedules for executing tens, hundreds, or even tens-of-thousands of jobs jobs whose tasks are defined as standard Java components or EJBs. The Quartz Scheduler includes many enterprise-class features, such as JTA transactions and clustering.
This application note describes the design and implementation of a usb mass storage devic using a secure digital card,which should prove useful to developers of usb mass storage solution.This
application may be used as a stand-alone MSD or as a
Secure Digital/Multimedia Card (SD/MMC) reader/
writer interface.
Imagine that you are a web developer (which is probably not a stretch if you are reading
this book) and you are being encouraged to add some Ajax features to a site you’re
working on. Maybe the originator of this request is your boss or your boss’s boss, who is
not even sure what Ajax is, let alone what kinds of features might be useful.And maybe
you’re not sure yourself. Imagine that your prior experience has mostly been on the
server-side, developing in Java or some other server-side technology, and your experience
with HTML and JavaScript has been fairly limited.This is the scenario we will explore
over the next several chapters as you are introduced to the Dojo Toolkit.
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Quartz is a full-featured, open source job scheduling system that can be integrated with, or used along side virtually any J2EE or J2SE application - from the smallest stand-alone application to the largest e-commerce system. Quartz can be used to create simple or complex schedules for executing tens, hundreds, or even tens-of-thousands of jobs jobs whose tasks are defined as standard Java components or EJBs. The Quartz Scheduler includes many enterprise-class features, such as JTA transactions and clustering.
Quartz is freely usable, licensed under the Apache 2.0 license.
The growth of mobile technologies is remarkable. At a recent Mobile World Congress Conference, Eric
Schmidt, CEO of Google predicted that within three years, smart phones will surpass Personal Com-
puter sales. The number of mobile phones used worldwide has exceeded 4.6 billion with continued
growth expected in the future. In fact, in the United States alone, the numbers of mobile phone users
comprise over 80% of the population.
Commoditization is a serious threat to the telecommunications industry. Most CSPs offer
similar services at rates designed to win what has become a price war. As a result, many
face decreasing margins and difficulty sustaining differentiation based on prices or
products alone. On top of commoditization, CSPs also face competition from OTT
providers and an increasingly knowledgeable and demanding customer base. With
access to growing amounts of data from an ever-increasing number of sources and
devices, today’s empowered, savvy consumers know what they want and expect to get it.
Until the mid-1990s most readers would probably not have even come across the term soft-
ware defined radio (SDR), let alone had an idea what it referred to. Since then SDR has made
the transition from obscurity to mainstream, albeit still with many different understandings of
the terms – software radio, software defined radio, software based radio, reconfigurable radio.
In this research, we have designed, developed implemented a wireless sensor
networks based smart home for safe, sound and secured living environment for
any inhabitant especially elderly living alone. We have explored a methodology
for the development of efficient electronic real time data processing system to
recognize the behaviour of an elderly person. The ability to determine the
wellness of an elderly person living alone in their own home using a robust,
flexible and data driven artificially intelligent system has been investigated. A
framework integrating temporal and spatial contextual information for
determining the wellness of an elderly person has been modelled. A novel
behaviour detection process based on the observed sensor data in performing
essential daily activities has been designed and developed.