scholarly journals On Telecommunications Thorn Path to the IP World: From Cybersecurity to Artificial Intelligence

2021 ◽  
Author(s):  
Manfred Sneps-Sneppe
Keyword(s):  
Artificial Intelligence ◽  
Packet Switching ◽  
Regional Security ◽  
Circuit Switching ◽  
Vision 2020 ◽  
Intelligent Network ◽  
Main Challenge ◽  
The Face ◽  
Channel Packet ◽  
Joint Enterprise

The chapter is devoted to the discussion of the telecommunications development strategy. Communication specialists all around the world are facing the problem: how to shift from circuit switching to packet switching. The same problem is the main challenge for the US Department of Defense. We discuss the Defense Information System Network move from circuits to packets, namely, “Joint Vision 2010” doctrine - the implementation of signaling protocol #7 and Advanced Intelligent Network, and “Joint Vision 2020” - the network transformation by the transition to Assured Services Session Initiation Protocol and Multifunctional SoftSwiches. We describe some packet switching shortcomings during the implementation of Joint Vision 2020, namely, the failed GSM-O contract and Joint regional security stacks failures. The Defense Department’s newly released cloud strategy positions the general-purpose Joint Enterprise Defense Infrastructure (JEDI) cloud initiative as the foundation. The strategy emphasizes a cloud hierarchy at DoD, but JEDI cloud strategy leaves a series of unanswered questions relating to the interoperability of clouds. The JEDI cloud strategy has based on Artificial Intelligence Initiative. We conclude that the long-term channel - packet coexistence seems inevitable, especially in the face of growing cyber threats.

Insulating Peace: Managerial Coordination in Durable Security Complexes

2021 ◽  
Author(s):  
Konstantinos Travlos
Keyword(s):  
South Asian ◽  
Regional Security ◽  
Collective Intentionality ◽  
South American ◽  
Proof Of Concept ◽  
The South ◽  
Mapping Tool ◽  
Region I ◽  
The Face ◽  
Future Evaluation

Abstract I argue that insulation via managerial coordination is a key element in any explanation about the formation of political regions among states. The key role it plays is as a tool for the maintenance of intra-regional pacific relations in the face of diffusion and contagion processes, resulting from continued security linkages with excluded extra-regional states. In order to explore these dynamics, I propose a new reconceptualization of the concept of managerial coordination based on the basic framework concept mapping tool. This leads to clarity about what managerial coordination does as a dimension of insulation. It also necessitates a revamp of the scale of interstate managerial coordination as a measuring instrument of the intensity of collective intentionality toward insulation among the members of a region. I then map the region concept of durable security complex (DSC) as the scope for the enactment of managerial coordination, based on a review of existing region concepts in the new regionalist literature. I then conduct an ideographic proof-of-concept exercise on three DSCs in the presence or absence of managerial coordination. These are the Scandinavian states, the South Asian regional security complex, and the South American Norther Tier local hierarchy. The exercise provides indicators for a number of theoretical propositions worthy of future evaluation.

A Novel Artificial Face Mask based Nanofibers with Special Intelligent Engineered Nanocomposite Against Covid-19

2021 ◽  
pp. PP. 21-22
Author(s):  
Ahmed A. Elngar ◽  
◽  
◽  
S.I. El El-Dek
Keyword(s):  
Artificial Intelligence ◽  
Resource Allocation ◽  
Pattern Recognition ◽  
Disease Management ◽  
Face Mask ◽  
Vital Role ◽  
Mobile Unit ◽  
Disease Clusters ◽  
Infected People ◽  
The Face

We introduce our idea about a new face mask against Covid-19. Herein our novel face mask is a polymeric matrix of nanofibers. These nanofibers are decorated with special engineered nanocomposite. The later possesses antiviral, antimicrobial. A well-established IR temperature biosensor will be implanted in the face mask and connected to the mobile phone using App (Seek thermal) to allow temperature monitoring. Artificial Intelligence can play a vital role in the fight against COVID-19. AI is being successfully used in the identification of disease clusters, monitoring of cases, prediction of the future outbreaks, mortality risk, diagnosis of COVID-19, disease management by resource allocation, facilitating training, record maintenance and pattern recognition for studying the disease trend. Therefore, AI is used as a type of alarm which be connected through Global Position System (GPS) to a central networking system to monitor the crowded areas of probable infections. In this case, the hospital in this neighborhood will be charged to let a mobile unit of assessment travel quickly to the infected people areas.

scholarly journals Are Artificial Intelligence (AI) And Machine Learning (ML) Having An Effective Role In Helping Humanity Address The New Coronavirus Pandemic?

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Outbreaks ◽  
Hospital Capacity ◽  
Data Engineering ◽  
Clinical Presentations ◽  
The Face ◽  
Effective Role ◽  
Using Data ◽  
The Right

COVID-19 has become a pandemic affecting the most of countries in the world. One of the most difficult decisions doctors face during the Covid-19 epidemic is determining which patients will stay in hospital, and which are safe to recover at home. In the face of overcrowded hospital capacity and an entirely new disease with little data-based evidence for diagnosis and treatment, the old rules for determining which patients should be admitted have proven ineffective. But machine learning can help make the right decision early, save lives and lower healthcare costs. So, there is therefore an urgent and imperative need to collect data describing clinical presentations, risks, epidemiology and outcomes. On the other side, artificial intelligence(AI) and machine learning(ML) are considered a strong firewall against outbreaks of diseases and epidemics due to its ability to quickly detect, examine and diagnose these diseases and epidemics.AI is being used as a tool to support the fight against the epidemic that swept the entire world since the beginning of 2020.. This paper presents the potential for using data engineering, ML and AI to confront the Coronavirus, predict the evolution of disease outbreaks, and conduct research in order to develop a vaccine or effective treatment that protects humanity from these deadly diseases.

scholarly journals Artificial Intelligence and Bank Soundness: A Done Deal? - Part 1

2021 ◽  
Author(s):  
Charmele Ayadurai ◽  
Sina Joneidy
Keyword(s):  
Artificial Intelligence ◽  
Significant Role ◽  
Crucial Role ◽  
Significant Contribution ◽  
Economic Prosperity ◽  
Bank Stability ◽  
The Face ◽  
Main Strand ◽  
Bank Soundness ◽  
The Way

Banks soundness plays a crucial role in determining economic prosperity. As such, banks are under intense scrutiny to make wise decisions that enhances bank stability. Artificial Intelligence (AI) plays a significant role in changing the way banks operate and service their customers. Banks are becoming more modern and relevant in people’s life as a result. The most significant contribution of AI is it provides a lifeline for bank’s survival. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions opportunities from the main strand of CAMELS into distinct categories of 1 (C), 6(A), 17(M), 16 (E), 3(L), 6(S). It is highly evident that banks will soon extinct if they do not embed AI into their operations. As such, AI is a done deal for banks. Yet will AI contribute to bank soundness remains to be seen.

scholarly journals Dynamic & Intelligent Student Attendance Maintenance Based on Face Recognition

2020 ◽  
Vol 9 (5) ◽  
pp. 399-403
Keyword(s):  
Artificial Intelligence ◽  
Face Recognition ◽  
Face Detection ◽  
Student Attendance ◽  
Teachers And Students ◽  
The Face ◽  
Monitoring Camera ◽  
On Line

The proposed system generally results a solution to some of the problems which occurs in colleges and schools by providing a monitoring camera with the help of “Artificial Intelligence (AI)” . The main problem which can be occurred is wastage of time in taking the attendance manually or through any biometric sensors. The next problem which can be solved is to control the usage of electricity in classrooms when students are not in class. When the videos are getting recorded with the help of monitoring cameras, at the same time the head counting and face detection of the students present will also be done. When the strength of the class is zero ,the head counting also results to zero. The electricity can also be saved at the same time when people are not present in the classroom. The face recognition is the easiest process which can be done for marking the attendance, where the attendance is marked automatically. This process also helps to prevent the fake attendance. Face recognition and detection is generally based on line edge mapping to attain the identity of the student and also meets the wants of attendance in the universities and schools. The image of the student is to be captured and checked with the database simultaneously and marks the attendance of the particular student. The video gets recorded all the time and checks whether the student remains in class for the entire period.The attendance marking system with the help of technology is very essential for both the teachers and students.

Artificial Intelligence in the Banking Sector: Opportunities and Challenges

2021 ◽  
pp. 81-97
Author(s):  
Galina Semeko ◽  
Keyword(s):  
Artificial Intelligence ◽  
Banking Sector ◽  
High Tech ◽  
The World ◽  
The Face

The article deals with the problems of using artificial intelligence technologies in the banking sector in the world in general and in Russia in particular. Characterizes the potential of artificial intelligence technologies and their role in increasing the competitiveness of banks in the face of in Creasing competition from new high-tech financial providers. Presentes an analysis of the factors hampering the introduction of artificial intelligence technologies in banks.

Optical Burst Switching

2011 ◽  
pp. 799-806
Author(s):  
Joel J.P.C. Rodrigues ◽  
Paulo P. Monteiro ◽  
Pascal Lorenz
Keyword(s):  
Packet Switching ◽  
Optical Burst Switching ◽  
Optical Packet Switching ◽  
Destination Node ◽  
Time Interval ◽  
Circuit Switching ◽  
Burst Switching ◽  
Data Control ◽  
Optical Buffering ◽  
Optical Burst

The concept of burst switching was proposed initially in the context of voice communications by Haselton (1983) and Amstutz (1983; 1989) in the early 1980s. More recently, in the late 1990s, optical burst switching (OBS) was proposed as a new switching paradigm for the so-called optical Internet in order to overcome the technical limitations of optical packet switching; namely, the lack of optical random access memory (optical RAM) and to the problems with synchronization.(Yoo & Qiao, 1997; Qiao & Yoo, 1999; Chen, Qiao & Yu, 2004; Turner, 1999; Baldine, Rouskas, Perros & Stevenson, 2002; Xu, Perros & Rouskas, 2001). OBS is a technical compromise between wavelength routing and optical packet switching, since it does not require optical buffering or packet-level processing as in optical packet switching, and it is more efficient than circuit switching if the traffic volume does not require a full wavelength channel. According to Dolzer, Gauger, Späth, and Bodamer (2001), OBS has the following characteristics: • Granularity: The transmission unit size (burst) of OBS is between the optical circuit switching and optical packet switching. • Separation Between Control and Data: Control information (header) and data are transmitted on different wavelengths (or channels) with some time interval. • Allocation of Resources: Resources are allocated using mainly one-way reservation schemes. A source node does not need to wait for the acknowledge message from destination node to start transmitting the burst. • Variable Burst Length: The burst size is variable. • No Optical Buffering: Burst switching does not require optical buffering at the intermediate nodes (without any delay).

scholarly journals The Influence of Internet Banking on the Efficiency and Cost Savings for Banks’ Customers

2016 ◽  
Vol 3 (3) ◽  
pp. 163-170 ◽  
Author(s):  
Vidhya Jolly
Keyword(s):  
Cost Savings ◽  
Working Hours ◽  
Cost Effective ◽  
Internet Banking ◽  
The Internet ◽  
Main Challenge ◽  
The Face ◽  
Cost Efficient ◽  
Indian Banks ◽  
Almost All

The world is developing; the internet has become one important tool in life. Its proper use can create wonders. This research paper is about how the internet is used by Indian banks and how it has changed the face of banking. The study is limited to Kochi alone. Internet banking has its advantages: primarily it is cost efficient. Using internet banking customers can do most of their bank transactions online; almost all of the transactions are possible. Adding to the advantages these transactions require only an internet connection and a computer. These facilities are not limited to the working hours of the bank; one can avail these services24 hours a day, 7 days a week. But proficiency to use these facilities properly is the main challenge. This study is based upon the review taken from part of the Kochi population who are Customers of State Bank of India and ICICI bank.  Day by day customers using internet banking is on the rise. Also, internet banking is not limited to the bank transactions alone, it can be used as a mode of payment to registered merchants. This makes the regular payments, like that of electricity, water, mobile bill etc. very easy. Any tool can be efficient only if it is used properly. How cost effective and popular is the usage of online banking tool in Kochi is the major problem under investigation.Int. J. Soc. Sc. Manage. Vol. 3, Issue-3: 163-170

scholarly journals Artificial intelligence (AI) in strategic marketing decision-making: a research agenda

2020 ◽  
Vol 33 (2) ◽  
pp. 183-200 ◽  
Author(s):  
Merlin Stone ◽  
Eleni Aravopoulou ◽  
Yuksel Ekinci ◽  
Geraint Evans ◽  
Matt Hobbs ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Public Sector ◽  
Review Literature ◽  
Strategic Marketing ◽  
Sensitive Data ◽  
Content Type ◽  
The Public ◽  
Marketing Decision ◽  
The Face

Purpose The purpose of this paper is to review literature about the applications of artificial intelligence (AI) in strategic situations and identify the research that is needed in the area of applying AI to strategic marketing decisions. Design/methodology/approach The approach was to carry out a literature review and to consult with marketing experts who were invited to contribute to the paper. Findings There is little research into applying AI to strategic marketing decision-making. This research is needed, as the frontier of AI application to decision-making is moving in many management areas from operational to strategic. Given the competitive nature of such decisions and the insights from applying AI to defence and similar areas, it is time to focus on applying AI to strategic marketing decisions. Research limitations/implications The application of AI to strategic marketing decision-making is known to be taking place, but as it is commercially sensitive, data is not available to the authors. Practical implications There are strong implications for all businesses, particularly large businesses in competitive industries, where failure to deploy AI in the face of competition from firms, who have deployed AI to improve their decision-making could be dangerous. Social implications The public sector is a very important marketing decision maker. Although in most cases it does not operate competitively, it must make decisions about making different services available to different citizens and identify the risks of not providing services to certain citizens; so, this paper is relevant to the public sector. Originality/value To the best of the authors’ knowledge, this is one of the first papers to probe deployment of AI in strategic marketing decision-making.

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