my name is Ahmed said Ahmed Ashit , aim from Libya , head of computer department in high institute of science and technology ,alhraba , Libya , i have master of computer engineering from near east university
New instructive advancements (like Mobile phone) can give extensive volumes of data and informati... more New instructive advancements (like Mobile phone) can give extensive volumes of data and information to learners and conquer the restrictions of time and space, this makes a circumstance where learning happens quicker, less demanding, better and more economical. With the rapid technology developing traditional learning methods become less affective, at the same time mobile learning turned into useful way that the student used for learning, this way changed the environment of education, by adding technology to education, it makes the education more usable, entertainment and available for everyone. However, this method has some disadvantages, in this paper we study the affect of mobile learning in the future of education, this effect will be both either positive or negative, and we will see the probability that if the mobile learning will replace the traditional learning, especially in young student.
Some diseases are still ambiguous for scientists and researchers, despite of studies and research... more Some diseases are still ambiguous for scientists and researchers, despite of studies and researches that have been done to study
and diagnose them. The effects of these diseases may be known, but the unknown is their causes, times, and signs. These unobvious
causes and signs make scientists unable to detect, nor diagnose these diseases. One of these diseases is the obstructive
sleep apnea, which is defined as breathing difficulties and pauses in breathing during sleep. This research project aims to produce
a diagnostic device for early prediction of sleep apnea through the analysis and classification of sleep levels. The idea is to
establish an algorithm linking sleep apnea and snoring by the implementation of a device that measures the chest expansion
during inspiration and expiration of subjects. Then, collected data from which snorers and apnea goers are pointed out so that
we can provide the patient with quantitative measurements and statistics that end up with a classification of sleep disorders
levels in terms of voltages interval of each level. Thus, it becomes easy to find a voltage interval just prior to obstructive sleep
apnea occurrence. In such case, the machine is programmed to early predict and prevent the obstructive sleep apnea occurrence
by providing a buzzing sound in order to wake the patient up right before OSA
New instructive advancements (like Mobile phone) can give extensive volumes of data and informati... more New instructive advancements (like Mobile phone) can give extensive volumes of data and information to learners and conquer the restrictions of time and space, this makes a circumstance where learning happens quicker, less demanding, better and more economical. With the rapid technology developing traditional learning methods become less affective, at the same time mobile learning turned into useful way that the student used for learning, this way changed the environment of education, by adding technology to education, it makes the education more usable, entertainment and available for everyone. However, this method has some disadvantages, in this paper we study the affect of mobile learning in the future of education, this effect will be both either positive or negative, and we will see the probability that if the mobile learning will replace the traditional learning, especially in young student.
Some diseases are still ambiguous for scientists and researchers, despite of studies and research... more Some diseases are still ambiguous for scientists and researchers, despite of studies and researches that have been done to study
and diagnose them. The effects of these diseases may be known, but the unknown is their causes, times, and signs. These unobvious
causes and signs make scientists unable to detect, nor diagnose these diseases. One of these diseases is the obstructive
sleep apnea, which is defined as breathing difficulties and pauses in breathing during sleep. This research project aims to produce
a diagnostic device for early prediction of sleep apnea through the analysis and classification of sleep levels. The idea is to
establish an algorithm linking sleep apnea and snoring by the implementation of a device that measures the chest expansion
during inspiration and expiration of subjects. Then, collected data from which snorers and apnea goers are pointed out so that
we can provide the patient with quantitative measurements and statistics that end up with a classification of sleep disorders
levels in terms of voltages interval of each level. Thus, it becomes easy to find a voltage interval just prior to obstructive sleep
apnea occurrence. In such case, the machine is programmed to early predict and prevent the obstructive sleep apnea occurrence
by providing a buzzing sound in order to wake the patient up right before OSA
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Papers by Ahmed Ashit
learners and conquer the restrictions of time and space, this makes a circumstance where learning happens
quicker, less demanding, better and more economical. With the rapid technology developing traditional
learning methods become less affective, at the same time mobile learning turned into useful way that the
student used for learning, this way changed the environment of education, by adding technology to education, it
makes the education more usable, entertainment and available for everyone. However, this method has some
disadvantages, in this paper we study the affect of mobile learning in the future of education, this effect will be both either positive or negative, and we will see the probability that if the mobile learning will replace the
traditional learning, especially in young student.
and diagnose them. The effects of these diseases may be known, but the unknown is their causes, times, and signs. These unobvious
causes and signs make scientists unable to detect, nor diagnose these diseases. One of these diseases is the obstructive
sleep apnea, which is defined as breathing difficulties and pauses in breathing during sleep. This research project aims to produce
a diagnostic device for early prediction of sleep apnea through the analysis and classification of sleep levels. The idea is to
establish an algorithm linking sleep apnea and snoring by the implementation of a device that measures the chest expansion
during inspiration and expiration of subjects. Then, collected data from which snorers and apnea goers are pointed out so that
we can provide the patient with quantitative measurements and statistics that end up with a classification of sleep disorders
levels in terms of voltages interval of each level. Thus, it becomes easy to find a voltage interval just prior to obstructive sleep
apnea occurrence. In such case, the machine is programmed to early predict and prevent the obstructive sleep apnea occurrence
by providing a buzzing sound in order to wake the patient up right before OSA
learners and conquer the restrictions of time and space, this makes a circumstance where learning happens
quicker, less demanding, better and more economical. With the rapid technology developing traditional
learning methods become less affective, at the same time mobile learning turned into useful way that the
student used for learning, this way changed the environment of education, by adding technology to education, it
makes the education more usable, entertainment and available for everyone. However, this method has some
disadvantages, in this paper we study the affect of mobile learning in the future of education, this effect will be both either positive or negative, and we will see the probability that if the mobile learning will replace the
traditional learning, especially in young student.
and diagnose them. The effects of these diseases may be known, but the unknown is their causes, times, and signs. These unobvious
causes and signs make scientists unable to detect, nor diagnose these diseases. One of these diseases is the obstructive
sleep apnea, which is defined as breathing difficulties and pauses in breathing during sleep. This research project aims to produce
a diagnostic device for early prediction of sleep apnea through the analysis and classification of sleep levels. The idea is to
establish an algorithm linking sleep apnea and snoring by the implementation of a device that measures the chest expansion
during inspiration and expiration of subjects. Then, collected data from which snorers and apnea goers are pointed out so that
we can provide the patient with quantitative measurements and statistics that end up with a classification of sleep disorders
levels in terms of voltages interval of each level. Thus, it becomes easy to find a voltage interval just prior to obstructive sleep
apnea occurrence. In such case, the machine is programmed to early predict and prevent the obstructive sleep apnea occurrence
by providing a buzzing sound in order to wake the patient up right before OSA