Role and Scope of Machine Learning in Different Media Verticals in India

2012 ◽  
Vol 11 (2) ◽  
pp. 39
Author(s):  
Juby Thomas
Keyword(s):  
Machine Learning ◽  
Broad Spectrum ◽  
Human Mind ◽  
The Internet ◽  
Way Of Life ◽  
Current Scenario ◽  
The Mind ◽  
To Receive

The Internet is fast becoming a way of life for millions of people and also a way of living because of growing dependence and reliance of mankind on these machines. Today, the availability of information at a click is not so surprising. But it may be disappointing to find the important information from those 10 blue links. There is no doubt that everyone likes to receive the exact information that goes through the mind at a click.  Therefore expectation for a machine which can read the human mind and provide exactly what the user is looking for is highly in demand now. Teaching a machine to think like a human will open up a broad spectrum of possibilities. It has so much to do with communication in the current scenario especially in a country like India.

scholarly journals Harmonization of the Human Heart, Mind and Hand

Illuminatio ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 112-161
Author(s):  
Mustafa Cerić
Keyword(s):  
Human Heart ◽  
Human Mind ◽  
Human Hand ◽  
Way Of Life ◽  
Current Crisis ◽  
Parallel Lives ◽  
The Right ◽  
The Mind ◽  
The Way

The focus of this article is a reflection on the nature of the human heart (al-qalb), human mind (al-‘aql) and human hand (al-yad). The heart is the place of emotion - love or hate; the mind is the place of thought - right or wrong; the hand is the tool of power – justice or injustice. So, the question may be asked, what is the tipping scale for the heart from love to hate; what makes the mind to think right or wrong; and what causes the hand to do justice or injustice? Then, what is the role of faith/religion in harmonizing the human heart, mind and hand? How can the Sīrah, the way of the life of the messenger of God, teach the human heart to love, the human mind to thing right and the human hand to act justly? What can man learn from the parallel lives and trials of the early aṣḥāb, the Prophet’s companions, and their immediate tābi’ūn, the followers? Here, the article introduces the way of life of two aṣḥāb: ‘Abdullah ibn ‘Abbās and Mu‘ādh ibn Jabal and one tābi‘un: Al-Qāḍī Shuraikh ibn Al-Ḥārith Al-Kindī, to show that the heart is not a pump that drives the blood, but it is the blood of love that drives the heart to love; that the mind is not a vessel to be filled, but the light to be kindled; and that the hand is not a tool to be abused, but a means to be used for justice. The author aims to open the way for a critique of the pure faith of Muslims. Indeed, the Muslims need to examine their faith in a serious way to find out the right exit from the current crisis of the relationship between their heart, mind and hand. Where is the pure faith of Muslims? Is it in their heart only? Is it in their mind only? Is it in their hand only? How can the Muslims connect these three into a coherent whole for the good of humanity? The good examples from the Sīrah might provide us with the right answer to these questions provided that the Muslims open their hearts, employ their minds and educate their hands. This article is trying to guide them to that direction.

scholarly journals Stories: A Tool to Rejuvenate the Culture of Generation Z and Generation Alpha

YMER Digital ◽  
2022 ◽  
Vol 21 (01) ◽  
pp. 267-276
Author(s):  
Dr. V Thamil Selvi ◽  
◽  
M Bhuvaneswari ◽  
S Sandra ◽  
◽  
...  
Keyword(s):  
Digital Technology ◽  
Young Age ◽  
The Internet ◽  
Birth Stories ◽  
Digital World ◽  
Generation Z ◽  
Literature Reviews ◽  
Current Scenario ◽  
The Right ◽  
The Mind

Being the first social generation to have grown up with the internet and portable digital technology from a young age, Generation Z and Generation Alpha are seldom aware of affections, devotions, traditions, relationships, and cultures that form the basis for a convivial and serene life. They run in this digital world to cope with the current scenario, failing to take in love and affection. The literature reviews furnish the details that Generation Z and Alpha are bestowed with abundant knowledge and information by technology, but they fail to look at the essential parts of humanity. Hence, this paper aims to use stories as a tool to bring back the beam of happiness in the lives of future humans. The surveys that have been taken show that stories are loved by people of all ages, and so it is easy to educate and revive morals, mannerisms, traditional ideas, and cultures through them. Therefore, it is the need of the hour to rejuvenate these groups through stories to lead a peaceful life, which is the ultimate aim of birth. Stories also provide pleasure and activate the mind to think in the right way since the listener is out of the box.

Aristotle's Formal Identity of Intellect and Object: A Solution to the Problem of Modal Epistemology

2019 ◽  
Vol 1 (1) ◽  
pp. 84-107
Author(s):  
Robert C. Koons
Keyword(s):  
Human Mind ◽  
Modal Epistemology ◽  
De Anima ◽  
Object A ◽  
Formal Identity ◽  
Identity Thesis ◽  
The Mind ◽  
Mental Objects ◽  
Aristotelian Metaphysics

In De Anima Book III, Aristotle subscribed to a theory of formal identity between the human mind and the extra-mental objects of our understanding. This has been one of the most controversial features of Aristotelian metaphysics of the mind. I offer here a defense of the Formal Identity Thesis, based on specifically epistemological arguments about our knowledge of necessary or essential truths.

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

Utilizing Blockchain Technology in Social Media Bot Identification

2020 ◽  
Author(s):  
Shreya Reddy ◽  
Lisa Ewen ◽  
Pankti Patel ◽  
Prerak Patel ◽  
Ankit Kundal ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Gold Standard ◽  
The Internet ◽  
Learning Models ◽  
Current Time ◽  
Machine Learning Methods ◽  
Blockchain Technology ◽  
Modern Age ◽  
Machine Learning Models

<p>As bots become more prevalent and smarter in the modern age of the internet, it becomes ever more important that they be identified and removed. Recent research has dictated that machine learning methods are accurate and the gold standard of bot identification on social media. Unfortunately, machine learning models do not come without their negative aspects such as lengthy training times, difficult feature selection, and overwhelming pre-processing tasks. To overcome these difficulties, we are proposing a blockchain framework for bot identification. At the current time, it is unknown how this method will perform, but it serves to prove the existence of an overwhelming gap of research under this area.<i></i></p>

scholarly journals Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4289
Author(s):  
Daniel Martinez-Marquez ◽  
Sravan Pingali ◽  
Kriengsak Panuwatwanich ◽  
Rodney A. Stewart ◽  
Sherif Mohamed
Keyword(s):  
Eye Tracking ◽  
Human Error ◽  
Human Mind ◽  
Future Research ◽  
Mental Performance ◽  
Medical Scientist ◽  
Future Research Directions ◽  
The Mind ◽  
Attention Failure ◽  
Demographic Distribution

Most accidents in the aviation, maritime, and construction industries are caused by human error, which can be traced back to impaired mental performance and attention failure. In 1596, Du Laurens, a French anatomist and medical scientist, said that the eyes are the windows of the mind. Eye tracking research dates back almost 150 years and it has been widely used in different fields for several purposes. Overall, eye tracking technologies provide the means to capture in real time a variety of eye movements that reflect different human cognitive, emotional, and physiological states, which can be used to gain a wider understanding of the human mind in different scenarios. This systematic literature review explored the different applications of eye tracking research in three high-risk industries, namely aviation, maritime, and construction. The results of this research uncovered the demographic distribution and applications of eye tracking research, as well as the different technologies that have been integrated to study the visual, cognitive, and attentional aspects of human mental performance. Moreover, different research gaps and potential future research directions were highlighted in relation to the usage of additional technologies to support, validate, and enhance eye tracking research to better understand human mental performance.

scholarly journals Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 487 ◽  
Author(s):  
Mahmoud Elsisi ◽  
Karar Mahmoud ◽  
Matti Lehtonen ◽  
Mohamed M. F. Darwish
Keyword(s):  
Machine Learning ◽  
Smart Grids ◽  
Industry 4.0 ◽  
Learning Algorithm ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Smart Meters ◽  
Industrial Environment ◽  
Physical Systems ◽  
Smart Machines

The modern control infrastructure that manages and monitors the communication between the smart machines represents the most effective way to increase the efficiency of the industrial environment, such as smart grids. The cyber-physical systems utilize the embedded software and internet to connect and control the smart machines that are addressed by the internet of things (IoT). These cyber-physical systems are the basis of the fourth industrial revolution which is indexed by industry 4.0. In particular, industry 4.0 relies heavily on the IoT and smart sensors such as smart energy meters. The reliability and security represent the main challenges that face the industry 4.0 implementation. This paper introduces a new infrastructure based on machine learning to analyze and monitor the output data of the smart meters to investigate if this data is real data or fake. The fake data are due to the hacking and the inefficient meters. The industrial environment affects the efficiency of the meters by temperature, humidity, and noise signals. Furthermore, the proposed infrastructure validates the amount of data loss via communication channels and the internet connection. The decision tree is utilized as an effective machine learning algorithm to carry out both regression and classification for the meters’ data. The data monitoring is carried based on the industrial digital twins’ platform. The proposed infrastructure results provide a reliable and effective industrial decision that enhances the investments in industry 4.0.

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