6 research outputs found
Virtual Mouse And Assistant: A Technological Revolution Of Artificial Intelligence
The purpose of this paper is to enhance the performance of the virtual
assistant. So, what exactly is a virtual assistant. Application software, often
called virtual assistants, also known as AI assistants or digital assistants,
is software that understands natural language voice commands and can perform
tasks on your behalf. What does a virtual assistant do. Virtual assistants can
complete practically any specific smartphone or PC activity that you can
complete on your own, and the list is continually expanding. Virtual assistants
typically do an impressive variety of tasks, including scheduling meetings,
delivering messages, and monitoring the weather. Previous virtual assistants,
like Google Assistant and Cortana, had limits in that they could only perform
searches and were not entirely automated. For instance, these engines do not
have the ability to forward and rewind the song in order to maintain the
control function of the song; they can only have the module to search for songs
and play them. Currently, we are working on a project where we are automating
Google, YouTube, and many other new things to improve the functionality of this
project. Now, in order to simplify the process, we've added a virtual mouse
that can only be used for cursor control and clicking. It receives input from
the camera, and our index finger acts as the mouse tip, our middle finger as
the right click, and so forth
Driver Drowsiness Detection System: An Approach By Machine Learning Application
The majority of human deaths and injuries are caused by traffic accidents. A
million people worldwide die each year due to traffic accident injuries,
consistent with the World Health Organization. Drivers who do not receive
enough sleep, rest, or who feel weary may fall asleep behind the wheel,
endangering both themselves and other road users. The research on road
accidents specified that major road accidents occur due to drowsiness while
driving. These days, it is observed that tired driving is the main reason to
occur drowsiness. Now, drowsiness becomes the main principle for to increase in
the number of road accidents. This becomes a major issue in a world which is
very important to resolve as soon as possible. The predominant goal of all
devices is to improve the performance to detect drowsiness in real time. Many
devices were developed to detect drowsiness, which depend on different
artificial intelligence algorithms. So, our research is also related to driver
drowsiness detection which can identify the drowsiness of a driver by
identifying the face and then followed by eye tracking. The extracted eye image
is matched with the dataset by the system. With the help of the dataset, the
system detected that if eyes were close for a certain range, it could ring an
alarm to alert the driver and if the eyes were open after the alert, then it
could continue tracking. If the eyes were open then the score that we set
decreased and if the eyes were closed then the score increased. This paper
focus to resolve the problem of drowsiness detection with an accuracy of 80%
and helps to reduce road accidents
Blockchain-based decentralized voting system security Perspective: Safe and secure for digital voting system
This research study focuses primarily on Block-Chain-based voting systems,
which facilitate participation in and administration of voting for voters,
candidates, and officials. Because we used Block-Chain in the backend, which
enables everyone to trace vote fraud, our system is incredibly safe. This paper
approach any unique identification the Aadhar Card number or an OTP will be
generated then user can utilise the voting system to cast his/her vote. A
proposal for Bit-coin, a virtual currency system that is decided by a central
authority for producing money, transferring ownership, and validating
transactions, included the peer-to-peer network in a Block-Chain system, the
ledger is duplicated across several, identical databases which is hosted and
updated by a different process and all other nodes are updated concurrently if
changes made to one node and a transaction occurs, the records of the values
and assets are permanently exchanged, Only the user and the system need to be
verified no other authentication required. If any transaction carried out on a
block chain-based system would be settled in a matter of seconds while still
being safe, verifiable, and transparent. Although block-chain technology is the
foundation for Bitcoin and other digital currencies but also it may be applied
widely to greatly reduce difficulties in many other sectors, Voting is the
sector that is battling from a lack of security, centralized-authority,
management-issues, and many more despite the fact that transactions are kept in
a distributed and safe fashion
Evolution over Time of Ventilatory Management and Outcome of Patients with Neurologic Disease∗
OBJECTIVES: To describe the changes in ventilator management over time in patients with neurologic disease at ICU admission and to estimate factors associated with 28-day hospital mortality. DESIGN: Secondary analysis of three prospective, observational, multicenter studies. SETTING: Cohort studies conducted in 2004, 2010, and 2016. PATIENTS: Adult patients who received mechanical ventilation for more than 12 hours. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among the 20,929 patients enrolled, we included 4,152 (20%) mechanically ventilated patients due to different neurologic diseases. Hemorrhagic stroke and brain trauma were the most common pathologies associated with the need for mechanical ventilation. Although volume-cycled ventilation remained the preferred ventilation mode, there was a significant (p < 0.001) increment in the use of pressure support ventilation. The proportion of patients receiving a protective lung ventilation strategy was increased over time: 47% in 2004, 63% in 2010, and 65% in 2016 (p < 0.001), as well as the duration of protective ventilation strategies: 406 days per 1,000 mechanical ventilation days in 2004, 523 days per 1,000 mechanical ventilation days in 2010, and 585 days per 1,000 mechanical ventilation days in 2016 (p < 0.001). There were no differences in the length of stay in the ICU, mortality in the ICU, and mortality in hospital from 2004 to 2016. Independent risk factors for 28-day mortality were age greater than 75 years, Simplified Acute Physiology Score II greater than 50, the occurrence of organ dysfunction within first 48 hours after brain injury, and specific neurologic diseases such as hemorrhagic stroke, ischemic stroke, and brain trauma. CONCLUSIONS: More lung-protective ventilatory strategies have been implemented over years in neurologic patients with no effect on pulmonary complications or on survival. We found several prognostic factors on mortality such as advanced age, the severity of the disease, organ dysfunctions, and the etiology of neurologic disease