Information Technology Revolution Research Articles

Optimization Enabled Deep Learning-Based DDoS Attack Detection in Cloud Computing

Cloud computing is a vast revolution in information technology (IT) that inhibits scalable and virtualized sources to end users with low infrastructure cost and maintenance. They also have much flexibility and these resources are supervised by various management organizations and provided over the Internet by known standards, formats, and networking protocols. Legacy protocols and underlying technologies consist of vulnerabilities and bugs which open doors for intrusion by network attackers. Attacks as distributed denial of service (DDoS) are one of most frequent attacks, which impose heavy damage and affect performance of the cloud. In this research work, DDoS attack detection is easily identified in an optimized way through a novel algorithm, namely, the proposed gradient hybrid leader optimization (GHLBO) algorithm. This optimized algorithm is responsible to train a deep stacked autoencoder (DSA) that detects the attack in an efficient manner. Here, fusion of features is carried out by deep maxout network (DMN) with an overlap coefficient, and augmentation of data is carried out by the oversampling process. Furthermore, the proposed GHLBO is generated by integrating the gradient descent and hybrid leader-based optimization (HLBO) algorithm. Also, this proposed method is assessed by various performance metrics, such as the true positive rate (TPR), true negative rate (TNR), and testing accuracy with values attained as 0.909, 0.909, and 0.917, accordingly.

Discussion on the Networking Scheme of Communication Equipment Localization in Modern Communication Technology

The rapid development of the Internet, greatly promoted the development and progress of human society, in the change of people's production, life and way of thinking at the same time also on the development of the international community has brought extremely far-reaching impact. With the rapid development of the Internet and the coming of the information technology revolution, information security has gradually become the most prominent and core issue in national security. However, the core information technology has been mastered by foreign enterprises for a long time, our information construction has been limited, information security can not be effectively guaranteed, how to gradually get rid of technical restrictions, break technical barriers, to achieve independent technology research and development and equipment production has become the inevitable trend of domestic construction of information equipment in the future. Based on this problem, this paper summarizes the status quo of localization of information equipment, analyzes the purpose and significance of localization of information equipment, summarizes the current research focus and difficulties of localization of information equipment, and intends to solve the networking scheme of localization of communication equipment in modern communication technology. To sum up, in the current information age, no country can exist independently of the international community, and the development of the Internet has been irresistible.

Ethnic digital divide? Evidence on mobile phone adoption

ABSTRACT Between 2006 and 2014, Vietnam experienced a true information technology revolution. In rural areas, mobile phone ownership increased from 18% to 89%. I use a panel dataset from this period to study the ‘digital divide’ between the ethnic majority group and ethnic minorities. I find that underprivileged ethnic minorities are lag behind in phone adoption. These differences are fully explained by standard factors of demand and by education level, that is, I do not find unobservable barriers in adoption. Analysis using spatial data on digital mobile network coverage reveals that infrastructure is also not a barrier to adoption, even in remote regions of Vietnam. Results are robust to alternative model specifications.

Deep learning based carbon emissions forecasting and renewable energy's impact quantification

Global warming is one of the most challenging issues of the current era. Revolutions in industrial, Information and Communication Technology (ICT) sectors significantly contribute in increasing global warming. Green House Gases (GHG) emissions from industrial, transportation, power and other sectors cause environmental pollution, which results in climate degradation. Environmental experts are well aware of the disastrous consequences of excessive global warming; therefore, several decarbonization strategies are developed and practiced in the recent past. A widely practiced decarbonization strategy is replacing fossil fuels by Renewable Energy Sources (RES) in the power systems. Electricity consumers are also encouraged to shift their consumption load to low carbon emissions' time periods. For accomplishing this task, an estimation of future carbon emissions is required. In this paper, power system's carbon emissions are predicted accurately with the help of a novel and an efficient forecasting model. The proposed model comprises of Spearman Correlation Analysis (SCA) and Improved Shallow Denoising Autoencoder (ISDAE) based feature engineering. Forecasting is performed through an Improved Particle Swarm Optimization (IPSO) based Deep Neural Network (DNN) forecaster. In addition, a comprehensive quantification analysis is also presented in this paper. The impacts of RES integration level on the electricity price, consumption cost and Greenhouse Gases (GHG) emissions are quantified descriptively and graphically. Performance of the proposed forecasting model is evaluated by Normalized Root Mean Square Error (NRMSE), Mean Absolute Error (MAE) and Mean Square Error (MSE). Simulation results prove that the proposed model outperforms Support Vector Machine (SVM) and Multiple Linear Regression (MLR) based carbon emission forecasting models in terms of forecasting accuracy.

Is Learning Analytics the Future of Online Education?

Educational structures have been evolving, that even so rapidly with the revolution of information technology and internet. Recent pandemic and its after effects are still looming over the globe, posing as challenge and an opportunity for educators. Online education was one such innovation, which has changed the dynamics of education around the world. The purpose of the paper is three-fold, first, to assess the levels of student engagement in the online learning environment, second, to examine how student engagement is related to their academic performance using learning analytic tools and third, to propose an integrated learning analytics framework. The study used, an exploratory research method and the data was collected from multiple sources; LMS Logs, self-administered questionnaires from students, and interviews with the instructor. The study was conducted at a course level in a private university. The finding suggests a positive relationship between student engagement and their academic performance and advocate the application of an analytics plug-in on LMS which supported instructors in identifying students at risk and providing them with real-time feedback aiming to improve their performance. The study provides insights into the field of online learning and offers evidence-based recommendations to educators. The utilization of Learning Analytics to examine student engagement and understanding of how students learn would contribute to the development of learning theories and in designing an appropriate digital learning environment that supports and improves their learning.

Why there is no technological revolution, let alone a ‘Fourth Industrial Revolution’

We are told by the powerful that we live in, or are about to live in, a Fourth Industrial Revolution (4IR). Seemingly, this revolution is about deep-seated, rapid, digitally powered techno-scientific change. It is the age of smart machines; it is a new information technology (IT) revolution. However, in this article I suggest that examination of the history of technologies that are often held up to be proof of the 4IR, in fact shows that there is no contemporary technological revolution. The research methodology that I employ here is conceptual analysis and a focused review of literature on the history of particular technologies. An industrial revolution, as its three historical instances have demonstrated, is the fundamental transformation of every aspect of industrial society, including its geopolitical, cultural, macro-social, micro-social, economic and technological strata. It certainly entails a technological revolution, but it is more than just that. In this article, I am not concerned with the broader ensemble of socio-economic changes – it seems increasingly clear that the ‘brave new world’ of the 4IR is not really happening – but simply ask the question: is there currently a technological revolution? The answer seems to be that there is not. Significance: The significance of this study is that it challenges the mainstream notion of technological innovation and change, associated with the ‘Fourth Industrial Revolution’. It has implications for the way we think about technological and scientific revolutions.

Braille Identification System Using Artificial Neural Networks

The Braille system is a widely used method by the blind to read and write. Information technology revolution is changing the way Braille reading and writing, making it easier to use. All kinds of materials can be put into Braille representation, such as bank statements, bus ticket, maps, and music note.
 In this paper, an artificial neural networks are designed to identify the number's image from (0-9) in Braille representation system. Networks will be trained and tested to be used for identify the scanned English number in Braille representation system. Some of the numbers are noised with some type of noise to simulate somehow the real world environment.
 According to the experiment the result of the identification of number that written in Braille representation using Artificial Neural Networks the training accuracy was 97.1% and testing accuracy was 85%.

Abstractive text summarization of low-resourced languages using deep learning.

Humans must be able to cope with the huge amounts of information produced by the information technology revolution. As a result, automatic text summarization is being employed in a range of industries to assist individuals in identifying the most important information. For text summarization, two approaches are mainly considered: text summarization by the extractive and abstractive methods. The extractive summarisation approach selects chunks of sentences like source documents, while the abstractive approach can generate a summary based on mined keywords. For low-resourced languages, e.g., Urdu, extractive summarization uses various models and algorithms. However, the study of abstractive summarization in Urdu is still a challenging task. Because there are so many literary works in Urdu, producing abstractive summaries demands extensive research. This article proposed a deep learning model for the Urdu language by using the Urdu 1 Million news dataset and compared its performance with the two widely used methods based on machine learning, such as support vector machine (SVM) and logistic regression (LR). The results show that the suggested deep learning model performs better than the other two approaches. The summaries produced by extractive summaries are processed using the encoder-decoder paradigm to create an abstractive summary. With the help of Urdu language specialists, the system-generated summaries were validated, showing the proposed model's improvement and accuracy.

Assessment of Understandability and Actionability of YouTube Videos on Hemolytic Disease of the Newborn.

Introduction With revolutions in Information Technology, information and misinformation are easier to be found online. YouTube is the largest and most commonly searched video content website in the world. It is assumed that, due to the coronavirus pandemic, most patients try to know about diseases through the internet and reduce the number of hospital exposures unless otherwise. In order to assess the understandability and actionability of such YouTube videos available freely online about the disease, Hemolytic disease of the newborn(HDN), this study was planned. Methods This is a cross-sectional study conducted with the first 160 videos available on May 14, 2021, with the search keyword "HDN" with a relevance filter and a duration of 4 to 20 minutes. The videos were further screened regarding the information content and language. These videos were assessed by three independent assessors using the patient educational materials assessment tool for audio-visual content. Results Out of the first 160 videos selected for screening, 58 videos were excluded due to a lack of content about the searched disease "HDN". Another 63 videos were excluded due to the language of instruction not being in English. Finally, 39 videos were assessed by three assessors. The understandability and actionability responses were checked for reliability and a Cronbach's alpha of 93.6% was found, indicating good data reliability. To reduce subjectivity, average scores of understandability and actionability were taken based on the scores of these three assessors. There were eight and 34 videos with average understandability and actionability scores of <70% respectively. The median average understandability and actionability scores were 84.4% and 50% respectively. There was a statistically significant difference between understandability and actionability scores withconsiderably lower actionability scores of YouTube videos on the disease, HDN (p<0.001). Conclusion There is a great need to include actionable information by content developers in videos. Most information available has adequate understandable content making it easier for the general public to know about the diseases. YouTube and similar social sites thus possibly are helping in the dissemination of information promoting awareness among the public in general and patients in particular.

A TECHNIQUE TO INCREASE THE USABILITY OF E-LEARNING WEBSITES

Distance learning is an ancient idea to impart education to the learners who wereunable to join the regular educational institutes. Revolution in information technology has changed thismode of learning to e-learning. E-learning is the mode of education in which the learners in remoteareas were educated through the use of technology. Many institutes have developed dedicated websitesand learning management systems such as open courseware, to introduce e- learning method. Theselearning management systems are very efficient, have vast learning material and communicationchannels without assistive support for physically disabled users. Lack of assistive technology supportin these websites stimulated negative user experiences. In this research work an e-learning usabilityevaluation model based on user’s mental model, had been developed. Objective of this research workwas to reduce the gap between user’s mental model and designer’s perception. The major problemwhile improving usability was a communication gap between user and designer.

Internet of Things Information Security and Preventive Measures

The Internet of Things is the third technological revolution of modern information technology. It is a high integration of various new technologies and concepts of modern information technology. It opens up the channel between the previously unrelated technologies such as electronic technology, automation technology, communication technology, biotechnology, mechanical technology and material technology, and makes these technologies truly integrate into a whole. The communication from person to person to object, object to object expansion is realized. The Internet of Things not only drives the development of emerging technologies, but also facilitates daily education and management. However, in the environment of the Internet of Things, there are still some problems of information security, information theft, information disclosure and other problems that must be solved in the application of the Internet of Things technology. Based on the architecture, key technologies and applications of the Internet of Things, this paper explores the security problems existing in the Internet of Things environment and puts forward reasonable preventive measures.

GLOBALIZATION PROCESS AND ECONOMIC SECURITY

The article emphasizes that the world economy has become more integrated and unstable, and in connection with this, an increase in global interdependence leads to an increase in the vulnerability of economies, while a higher economic specialization caused by trade leads to instability. The approach of economists to the definition of “economic security”, which should cover the causal consequences of globalization. The approaches of scientists in support of globalization from the point of view of economic security are considered. They came to the conclusion that despite the process of globalization and the erosion of state institutions, thanks to the emergence of new international players, state institutions remain key providers of economic security. Purpose-study of the approaches of academic economists to the definition of economic security, which will cover the consequences of globalization. Methodology-the work used methods of logical and system analysis. Research Findings-significant changes in the international arena, increased globalization, increased economic interdependence, technological development and the revolution in information technology have led to an expansion of the concept of economic security.

Education, science and national identity before the challenges of globalized capitalism

Comprehensive social changes, the process of globalization based on the principles of neoliberal ideology and the revolution in information technologies have fundamentally changed the conditions in which the educational system and science operate. Despite the series of negative consequences caused by the current commodification of education and scientific knowledge, within the Serbian academic community for a long time there was no reasoned discussion about these important changes that occurred during the past two decades. Bearing in mind the mentioned fact, the paper critically analyzes four recently published collections of works and the results of an empirical research that thematizes certain aspects of education, the role of the university, the results of the so-called ?Bologna reforms?, the position of social sciences and humanities and their importance for national culture and identity.

The Information Technology Revolution and the Unsecured Credit Market

The Information Technology Revolution and the Unsecured Credit Market

Informacioni sistem zaštite životne sredine Srbije - funkcionisanje, preduzete mere i slika u medijima i javnosti

The information technology revolution has among else led to the accelerated growth of the quantity and availability of accessible data as an indicatior of interactions in the ecosocial system. This study describes how atoms producing pollution translate into bites and digitaly transform into indicators and information. Through the example of the Serbian Environmental Information System, the study also shows how visualisation and effective communication are applied from the viewpoint of Luhmann's theory of society. According to Luhmann's theory, the society consists of closed systems of independent communications which continuously reproduce and develop by repeating their operations. The Serbian Environmental Information System represents a subcategory of the Luhmann's scientific subsystem and offers an answer to the question why there are, on the one hand, so many scientific facts on pollution, and on the other so few environmental measures that are undertaken. The answer lies in the fact that environmental pollution indicators belong to one social subsystem, while measures are expected to be taken within another social subsystem - law and economy, where each of them strives to preseve uniqueness and remain self-existent. According to Luhmann's social framework relevant for environmental protection, communication is a social system's response to environment that offers communicology a chance to examine the phenomena of environmental concerns in a more critical and detailed manner.

Security Oriented Analysis and Design Framework for Cyber - Physical - Social Enterprise

With the development of industrial technology revolution, information technology revolution and management reform, artificial intelligence plays an increasingly important role in the field of enterprise management and control. Because of the learning ability of the new generation of artificial intelligence based on big data and machine learning, artificial intelligence is increasingly showing the characteristics of human intelligence in perception, decision-making, control, optimization, etc. The basic state of binary opposition between people and industrial systems in traditional manufacturing enterprises is increasingly replaced by the ternary integration of People, Cyber and Physical Systems. Enterprises are developing into Cyber Physical Social Enterprises (CPSE). Because machine learning methods are un-robust and unexplainable, it is necessary to identify and evaluate risks of Cyber System in advance when Cyber System is to play the role of decision-making and control in the enterprise. It is also important to systematically analyze and deal with the possible negative impact of Cyber System or AI. On the basis of CPSE architecture, this paper studies its security oriented analysis and design technology, puts forward the framework of CPSE security analysis and design, and maps this framework to the general analysis and design methodology to demonstrate its applicability.

The Role of Digital Libraries as Information Resources for Scholars: A Descriptive Analysis

Information is actually viewed as the fulcrum for prosperity and strength and extremely important for social and economic development of the society. The revolution in Information and Communication Technology has bridged knowledge gap by offering free flow of information. The PG Students generally gather information from internet and furthermore from the reference books, since they need to plan cases, Projects, assignments and so on. Undoubtedly, they generally utilized the books, reference books, contextual analyses, to gather information and sometimes they gathered information from online database. Due to Around the world Web, access to the web is now a part of the everyday living of ours. An enormous number of user’s rummage around the snare each day. More and more folks have to seek out indexed collection.

Employee Relations in India: Current Context and Emerging Paradigm

Employee relations in India has been changing with the changing context. The industry has come a long way since independence. The paradigm has changed at an even faster pace over the last decade due to fundamental shifts in technology and socio-economic factors. The onslaught of COVID also brought in tectonic shifts in this field. Rise in the proportion of middle-class, democratisation of information technology, automation and industrial revolution 2.0, focus on ESG, steps towards improving the ease of doing business are other important changes driving the paradigm shifts in employee relations. The industry is now moving from restrictive industrial relations (IR) practices to more collaborative and progressive practices that look at workers and unions as partners rather than adversaries. The article discusses a case in point, Deepak Fertilisers and Petrochemicals Corporation Limited, where progressive IR practices have shown demonstrable results in the changing context.

A coupled awareness-epidemic model on a multi-layer time-varying network.

Social interactions have become more complicated and changeable under the influence of information technology revolution. We, thereby, propose a multi-layer activity-driven network with attractiveness considering the heterogeneity of activated individual edge numbers, which aims to explore the role of heterogeneous behaviors in the time-varying network. Specifically, three types of individual behaviors are introduced: (i) self-quarantine of infected individuals, (ii) safe social distancing between infected and susceptible individuals, and (iii) information spreading of aware individuals. Epidemic threshold is theoretically derived in terms of the microscopic Markov chain approach and the mean-field approach. The results demonstrate that performing self-quarantine and maintaining safe social distance can effectively raise the epidemic threshold and suppress the spread of diseases. Interestingly, individuals' activity and individuals' attractiveness have an equivalent effect on epidemic threshold under the same condition. In addition, a similar result can be obtained regardless of the activated individual edge numbers. The epidemic outbreak earlier in a situation of the stronger heterogeneity of activated individual edge numbers.

Public Communication in The Era of The Communication and Information Technology Revolution

Pemerintah Provinsi Riau melalui Diskominfotik Provinsi Riau beradaptasi menggunakan teknologi untuk kepentingan komunikasi publik. Tujuannya untuk mengetahui gambaran komunikasi publik yang dilakukan Diskominfotik Provinsi Riau di era revolusi teknologi komunikasi dan informasi. Metode yang digunakan adalah kualitatif, Teknik pengumpulan data yakni observasi, wawancara dan dokumentasi. Teknik analisis data menggunakan Miles dan Huberman serta Teknik Pemeriksaan keabsahan data menggunakan Triangulasi. Hasil penelitian menunjukkan Komunikasi publik yang dilakukan Diskominfotik Provinsi Riau melalui sejumlah tahapan. Tahapan pertama yakni mengumpulkan data dari berbagai sumber dengan membentuk kemitraan dengan sejumlah Operasi Perangkat Daerah (OPD), membentuk komunitas informasi masyarakat, bermitra dengan humas-humas vertikal dan ikut berperan aktif dalam organisasi Perhumas Riau. Selanjutnya tahap analisis data dan menyajikannya dalam sebuah konten yang nantinya disebarluaskan kepada masyarakat. Setelah konten tersebut siap, kemudian didistribusikan ke seluruh kanal media Pemerintah Provinsi Riau diantaranya Website mediacenter.riau.go.id, media sosial diantaranya Instagram, Facebook, Twitter dan Youtube, tidak lupa juga disiarkan di radio online