EAI Endorsed Transactions on Creative Technologies

EAI Endorsed Transactions on Creative Technologies is an open access, peer-reviewed scholarly journal focused on a whole industrial project or framework integrating creative technologies, creative content management, and more. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a quarterly frequency (four issues per year). Authors are not charged for article submission and processing.

Editor(s)-in-Chief: Predrag K. Nikolic

Aims & Scope
Indexing
Editor in Chief
Editorial Board
Special Issues

Given the accelerated changes and deeply interconnected activities of the times we are living in, creativity is a key factor of disruptive future developments. Creative and entertainment industries nowadays represent more than 3% of the GDP in Europe and they range from creative content providers (TV & radio, fashion, music) through creative experience providers (movies and music experience) to creative services providers (advertising, design, architecture).

Creative services, contents and experiences present knowledge requirements that are defined increasingly beyond a single discipline and appear to lie in a sound engagement among the creative practitioner (artist/designer/composer/entertainer), the engineer and the scientist. Digital arts, creative industries, and (tele)communication + (social) signal processing speak the language of convergence rather than autonomy. Their interaction calls for special attention now more than ever.

The journal is not limited to only specific aspects of creative technologies but also open to considering the high-level and innovative contributions from a wide range of subfields, especially articles of interdisciplinary nature.

Some of the journal topics are:

Creative Industries - the paper can describe a whole industrial project or framework integrating creative technologies for domains such as:

Creative content providers: TV & radio (broadcast, linked media), fashion (RFID and sensors, energy recycling), music & movies, books (digitization, sonification), museums (creative/artistic installations for tourism or cultural heritage) and media archives, etc.
Creative services providers: Advertising (user-centered web and ads optimization), design (communication devices for creative environments), architecture (places that adapt to people, creativity from domotics), new media and transmedia, etc.
Creative experience providers: Movies and music experience, game-based installations and playable media (participative creation, DJs and VJs creative tools), interactive social and urban spaces, etc.

Scientific topics - the paper can focus on scientific tools for creative industries on topics such as:

Creative content management: Multimedia data mining and innovative browsing, data 2D/3D visualization, digitization and storage, cultural heritage, etc.
Creative interactions: Social signal processing, verbal and nonverbal, explicit or implicit interactions, interacting robots, sensors and MoCap, human-computer interaction, user interface design, serious game etc.
Creative experiences: Affective content analysis and synthesis, immersive technologies, special effects, augmented reality, expressivity and emotion detection and processing, user experiences, etc.

Additional materials such as videos of installations and setups, public/users reactions and comments, or demo links are welcome.

Call for Papers: ICDM 2021 (Manuscript submission deadline: 2021-10-15; Notification of acceptance: 2021-12-10; Submission of final revised paper: 2022-01-21; Publication of special issue (tentative): 2022-02-04)

Lead Guest Editor: Prof Dr. Mohd Shahrizal Sunar (Universiti Teknologi Malaysia) Guest Editor: Dr. Goh Eg Su (Universiti Teknologi Malaysia) Guest Editor: Ruhiyati Idayu Abu Talib (Universiti Teknologi Malaysia)

Albert Ali Salah (Bogazici University, Turkey)
Anthony Brooks (SensoramaLab, Aalborg University Esbjerg, Denmark)
Anton Nijholt (University of Twente, Netherlands)
Antonio Camurri (DIST-University of Genova, Italy)
Antonio Camurri (University of Genoa, Italy)
Christian Jacquemin (LIMSI-CNRS, France)
Christophe d'Alessandro (LIMSI-CNRS, France)
Christophe Hurter (ENAC, French Civil Aviation University, Toulouse France)
Cristina Sylla (University of Minho, Portugal)
Dirk Heylen (University of Twente, Netherlands)
Eva Irene (Aalborg University, Denmark)
Fabrizio Lamberti (Politecnico di Torino, Italy)
Gualtiero Volpe (University of Genoa, Italy)
Insook Choi (Columbia College Chicago, USA)
Jesus Ibanez (Escola Municipal d'Art i Disseny (EMAiD), Spain)
Jonathan Duckworth (RMIT University, Australia)
Jorge C. S. Cardoso (University of Coimbra, Portugal)
Jun Hu (Eindhoven University of Technology, Netherlands)
Lau Bee Theng (Swinburne University of Technology Sarawak Campus, Malaysia)
Mel Krokos (University of Portsmouth, United Kingdom)
Michail Kalogiannakis (Faculty of Education, University of Crete, Greece)
Milton Luiz Horn Vieira (Federal University of Santa Catarina, Brazil)
Mikkel Kirkedahl Lysholm Nielsen (Aalborg University, Denmark)
Pedro Campos (ITI/Larsys, University of Madeira, Funchal, Portugal)
Pieter Jan Maes (McGill University, Canada)
Rainer Malaka (University of Bremen, Germany)
Radu-Daniel Vatavu (University of Suceava, Romania)
Robin Bargar (Columbia College Chicago, USA)
Robby van Delden (University of Twente, Netherlands)
Sudarshan Khanna (National Institute of Design, India)
Surabhi Khanna (National Institute of Design Haryana, India)
Thierry Dutoit (University of Mons, Belgium)
Tiago Cardoso (University Nova of Lisbon, Portugal)
Tracy Harwood (De Montfort University, Leicester, United Kingdom)
Vincent Courboulay (University of La Rochelle, France)
Valentina Nisi (University of Madeira, Portugal)
Yves Rybarczyk (University Nova of Lisbon, Portugal)
Mohd Shahrizal Sunar (Universiti Teknologi, Malaysia)

Predrag K. Nikolic

Predrag K. Nikolic is an Associate Professor at the University of the Bahamas Faculty of Liberal and Fine Arts. He is an interactive media designer, digital media expert and media artist who holds a PhD in Digital Media and an MBA. His research focuses on intelligent interfaces, robot creativity, AI aesthetics and design for behavioural changes. He mixes experiential reality, artificial intelligence, and responsive environments to engage an audience in new types of interactive experiences and media perceptions. His design and artworks, such as AI.R Taletorium, Metaphysics of the Machines, Botorikko, MindCatcher, InnerBody, Ciklosol, Before & Beyond, Vrroom, Robosophy Philosophy, Digital Lolipop, In_Visible Island were exhibited worldwide and presented at the Ars Electronica Festival, SIGGRAPH, SIGGRAPH Asia, International Symposium on Electronic Art (ISEA), ARTECH, Technarte USA, Technarte Spain, Singapore Science Center, Hong Kong – Shenzhen Design Biennial, Maison Shanghai, National Museum of Applied Art in Belgrade, National Museum of Education in Belgrade.

Before joining the University of the Bahama, Predrag Nikolic was a professor at College for Creative Studies USA, ShanghaiTech University China, Shantou University China, Bergen Academy of Art and Design Norway, Multimedia University Malaysia, Dean of Faculty of Digital Production at Educons University Serbia, Researcher at Aalto University Finland, Global Digital Director at Grey Germany, Global Digital Director at J. Walter Thomson Germany, Global Head of Digital at Ogilvy Greece, Head of Digital Marketing at Groundlink USA, Consultant at Yahoo USA and Managing Director at JadePremier United Kingdom. During his career in the creative industry, he conceptualized and designed a digital media presence for the clients such as Telenor, IBM, Nestle, H&M, Mars, Coca-Cola, Credit Agricole Bank, Yahoo, Czech Airlines and many others.

Predrag K. Nikolic has published numerous research papers in the field of artificial intelligence aesthetics, robot creativity, robot–robot interaction, design for behaviour change, collective creativity, mix-experiential reality, multi-sensory interfaces, interactivity and interface design. He lectures at universities and gives speeches at international conferences such as EmTech MIT, Technarte, ARTECH, ISEA, SIGGRAPH, INTETAIN, MobilityIOT, Smart City 360, etc. Professor Nikolic is European Alliance for Innovation Fellow, listed artist in Leonardo Electronic Directory, SIGGRAPH Digital Arts Community Member, international exhibitions curator and serves on many conference committees.

More about prof. Nikolic you can find on www.predragnikolic.com

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Recently Published
Most Popular

IoT Based Detection of Molded Bread and Expiry Prediction using Machine Learning Techniques
Appears in:
ct 18: e1

Authors:
Muhammad Shoaib Akhtar, Tao Feng

Published:
27th Apr 2022

Abstract:
Expiration of a bread is a very popular issue in food logistics. Due to various conditions fungal bread can cause food poisoning for consumers. As a result, nausea, diarrhea and different medical issues appear in people. For this purpose, an intelligent system required for the detection of present …Expiration of a bread is a very popular issue in food logistics. Due to various conditions fungal bread can cause food poisoning for consumers. As a result, nausea, diarrhea and different medical issues appear in people. For this purpose, an intelligent system required for the detection of present condition of bread is required which will help the stores and consumers. In this study, we have developed a prototype made up of Arduino Nano as a microcontroller, MQ series
sensors for CO and CO2 detection in shopper bags of bread in order to collect data. This data is further processed in different machine learning algorithms for the detection of current condition of bread in these stores. The data collected from these sensors was imbalanced. Data collected from sensors is then balanced by using SMOTE and TOMEC Links
(data balancing techniques). Furthermore, data preprocessing and feature engineering has been applied on IoT Based dataset to improve its efficiency. We have applied linear learning models for the prediction of current condition of bread. Within linear models, Gaussian Naïve Bayes has scored highest accuracy of 81.54%.
more »

An Intelligent and Secured Privacy Preserving Framework For Wireless Body Area Networks (WBANs)
Appears in:
ct 22(30): e5

Authors:
Muhammad Shoaib Akhtar, Tao Feng

Published:
15th Mar 2022

Abstract:
In recent years, developments in information technology and emerging technologies have greatly benefited e-health. The adoption of Wireless Body Area Networks is a perfect example (WBAN). The WBAN is a popular device. Medical care can be delivered remotely to patients in their own homes via tele-ho…In recent years, developments in information technology and emerging technologies have greatly benefited e-health. The adoption of Wireless Body Area Networks is a perfect example (WBAN). The WBAN is a popular device. Medical care can be delivered remotely to patients in their own homes via tele-homecare (also known as tele-diagnosis). Diabetes, dementia, falls, congestive heart failure, asthma, and infertility are among the conditions for which they are prescribed. An emergency response time could be sped up by using WBANs to monitor patients' health in real time. From a more traditional strategy to a more updated patient-centered one has been seen in recent years. Telemedicine and telemonitoring are two examples of current patient-centered practises that use technology to make it easier for patients to provide personal information. Telemonitoring has been discovered as a feasible research subject using the most up-to-date methods of turning raw data into meaningful information. WBAN stability is dependent on preventing node overheating and conserving energy. LB-EESAA routing mechanism for WBANs and the early warning system for attacks during Blockchain transactions are discussed in this study. Results show that LB-EESAA performs best in terms of both the number of live and dead nodes and the length of protocol stability. We were able to raise the level of security of the organisation after increasing the efficiency of WBANs. We examined the read throughput and basic transaction throughput of a blockchain-enabled system. After assuring and safeguarding the privacy of the system, we used the Logi-XGB prediction model machine learning to forecast assaults. Using the Logi-XGB model, 95.7 percent of the assault could be predicted in its early stages.
more »
Domestic Ubimus
Appears in:
ct 22(30): e4

Authors:
D. Keller, I. Simurra, M. Messina, T. M. Neiva, S. Tedesco, B. Mesz

Published:
22nd Feb 2022

Abstract:
INTRODUCTION: In this paper we discuss concepts and practices that point to a new field of ubiquitous music (ubimus) research centered on domestic settings. OBJECTIVES: The objective of this paper is to document and share a preliminary study of the use of taste as a trigger for creative deci…INTRODUCTION: In this paper we discuss concepts and practices that point to a new field of ubiquitous music (ubimus)
research centered on domestic settings.

OBJECTIVES: The objective of this paper is to document and share a preliminary study of the use of taste as a trigger for
creative decisions and a comparative study of creative music making done at home and in transitional settings.

METHODS: Groundwork in this area encompasses the design, implementation and deployment of ubimus systems. Key
aspects include sonic resources and metaphors for creative action based on multimodality.

RESULTS: The results indicate that unpredictable sonic environments foster originality but may compromise the subjects’
creative performance — reducing their level of engagement and fun and the possibilities for collaboration, while increasing
the cognitive demands of the activity. Home seems to furnish a positive context as long as the objective is not to increase
the originality of the outcomes.

CONCLUSION: The effectiveness of taste as a scaffold for creative decisions was partially confirmed, demanding further
studies. These results have implications for both the artistic aspects of sound making and the everyday usage of sound for
distant socializing in domestic settings, posing renewed challenges to the ongoing STEAM initiatives.
more »
Is My Password Strong Enough?: A Study on User Perception in The Developing World
Appears in:
ct 22(30): e3

Authors:
Tangila Islam Tanni, Tanjin Taharat, Muhammad Shakil Parvez, Sarker T. Ahmed Rumee, Moinul Islam Zaber

Published:
11th Feb 2022

Abstract:
INTRODUCTION: The first line of defense in the cyber world is strong and difficult to predict passwords. However, users often choose highly predictable passwords based on personal information, dictionary words, birth date, etc. OBJECTIVES: The primary objective is to ascertain password choice…INTRODUCTION: The first line of defense in the cyber world is strong and difficult to predict passwords. However, users
often choose highly predictable passwords based on personal information, dictionary words, birth date, etc.

OBJECTIVES: The primary objective is to ascertain password choice and practices of users of developing countries.

METHODS: Most of the existing studies are done in the developed world and our exhaustive search failed to find similar
research in the context of developing countries. Here, we conducted detailed surveybased scrutiny about the password-
based security perceptions of Bangladeshi nationals, which include 881 participants, primarily students, and professionals.

RESULTS: Most of the users were found to have bad practices, for example, having personal information(56%), password
reuse(69%), having commonly used patterns(81.3%). Students from technical backgrounds fared well compared to
non-technical backgrounds as expected. However, some professionals (especially Bankers) surprisingly chose weaker
passwords even though dealing with sensitive data.

CONCLUSION: We also make a few recommendations to improve awareness.
more »
Design and Implementation of Amharic-based IDE with High-Level Programming Language
Appears in:
ct 22(30): e2

Author:
Fitsum Gizachew

Published:
7th Feb 2022

Abstract:
INTRODUCTION: Programming languages enable us to communicate with our machines in a human-like way through computer code. Many programming languages have been developed; however, the majority of them do not have an Amharic development environment. This resulted in a Limited capacity of finding ou…INTRODUCTION: Programming languages enable us to communicate with our machines in a human-like way through computer
code. Many programming languages have been developed; however, the majority of them do not have an Amharic development
environment. This resulted in a Limited capacity of finding our solutions for our problems based on the context of where we are in
the world and lack of technological innovation in the Amharic Language.

OBJECTIVES: the main goal of this study is to create an easy-to-use high-level Amharic programming language, as well as
a special compiler Environment for the language.

METHODS: To develop the Amharic-based compiler development environment (IDE), we have used the compiler developments
environment principles by modifying existing algorithms for the language. In this study, we conducted a new Amharic programming
language environment called SABA, as well as a special Amharic interfaced compiler DAMAT.

RESULTS: We discovered that the study support those who wanted to learn programming languages in their local language,
and educational institutions found it better to teach and learn. Last, the study contributes to global technological
advancement.

CONCLUSION: The study illustrates the possibilities of constructing a programming language environment using native
language by developing a prototype, further additional keywords, and grammar will enhance the study.
more »
IOTA Based Anomaly Detection Machine learning in Mobile Sensing
Appears in:
ct 22(30): e1

Authors:
Muhammad Shoaib Akhtar, Tao Feng

Published:
11th Jan 2022

Abstract:
In this proposed method, iMCS can detect and prevent fake sensing activities of mobile users using machine learning techniques. Our iMCS solution uses behavioral analysis based on participants' reliability scores to detect variation in behavior of users and introduces a new role in a distributed …In this proposed method, iMCS can detect and prevent fake sensing activities of mobile users using machine learning
techniques. Our iMCS solution uses behavioral analysis based on participants' reliability scores to detect variation in
behavior of users and introduces a new role in a distributed system of MCS architecture to validate the collected data. To
evaluate the incentive based on the participant's sensory data and data quality, to properly distribute profit among the
participants, we employ the Shapley Value approach. The evaluation results demonstrate that our method is effective in
both quality estimations and incentive sharing.
more »
On Trusting a Cyber Librarian: How rethinking underlying data storage infrastructure can mitigate risks of automation
Appears in:
ct 21(29): e5

Authors:
Maria Joseph Israel, Mark Graves, Ahmed Amer

Published:
1st Dec 2021

Abstract:
INTRODUCTION: The increased ability of Artificial Intelligence (AI) technologies to generate and parse texts will inevitably lead to more proposals for AI’s use in the semantic sentiment analysis (SSA) of textual sources. We argue that instead of focusing solely on debating the merits of automated …INTRODUCTION: The increased ability of Artificial Intelligence (AI) technologies to generate and parse texts will inevitably lead to more proposals for AI’s use in the semantic sentiment analysis (SSA) of textual sources. We argue that instead of focusing solely on debating the merits of automated versus manual processing and analysis of texts, it is critical to also rethink our underlying storage and representation formats. Specifically, we argue that accommodating multivariate metadata is an example of how underlying data storage infrastructure can reshape the ethical debate surrounding the use of such algorithms. In other words, a system that employs automated analysis may typically require manual intervention to assess the quality of its output, or demand that we select between multiple competing NLP algorithms. Settling on whichever algorithm or ensemble can produce the best results, this is a decision that need not be made a priori at all.

OBJECTIVES: An underlying storage and representation system that allows for the existence and evaluation of multiple variants of the same source data, while maintaining attribution to the individual sources of each variant, would be an example of a much-needed enhancement to existing storage technologies, especially in anticipation of the proliferation of AI semantic analysis technologies.

METHODS: To this end, we take the view of AI in SSA as a sociotechnical system, and describe a possible novel solution that would allow for safer cyber curation. This can be done by allowing multiple different annotations to coexist within a single publishing ecosystem (whether those different annotations are the result of competing algorithmic models, or varying degrees of human intervention).

RESULTS: We discuss the feasibility of such a scheme, using our own infrastructure model (MultiVerse) as an illustrative model for such a system, and analyse the ethical implications.

CONCLUSION: Considering an underlying storage and representation system that allows for the existence and evaluation of multiple variants of the same source data, while maintaining attribution to the individual sources of each variant within a single publishing ecosystem helps mitigate risks of automation and enhances AI (semantic) explainability.
more »
An overview of the applications of Artificial Intelligence in Cybersecurity
Appears in:
ct 21(29): e4

Authors:
Muhammad Shoaib Akhtar, Tao Feng

Published:
23rd Nov 2021

Abstract:
The rates at which cyber-attacks are performed have made the cybersecurity unprotected and make it impossible for the security experts to evaluate and combat every new type of cyber-attack. Today's digital age necessarily requires the protection of a vast amo…The rates at which cyber-attacks are performed have made the cybersecurity unprotected and make it impossible for the
security experts to evaluate and combat every new type of cyber-attack. Today's digital age necessarily requires the
protection of a vast amount of valuable electronic data from cyber-attacks. Cyber-attacks can destroy the reputation of
organizations even shutdown organizations. The protection of cybersecurity is inevitable. In this paper, we have
highlighted the potential applications of AI in cybersecurity. Artificial intelligence has advanced to the point where it has
surpassed human performance in tasks like data analytics. This study was carried out using systematic literature review;
the relevant literature was collected from google scholar, research gate, science direct, IEEE Xplore, Digital Library and
Microsoft academic search engines and databases. Our study resulted that AI applications in cybersecurity have many
advantages than disadvantages. AI-based applications of cybersecurity can improve the security of cyberspace. This is
evidenced by the rising of AI engines in computer security rather than traditional scanning engines.
more »
OBE: Perception of Computer Science Learners and Teachers in online learning during COVID-19
Appears in:
ct 21(29): e3

Authors:
Basetty Mallikarjuna, Munish Sabharwal, Pardeep Kumar, Niranjanamurthy M

Published:
12th Nov 2021

Abstract:
Outcome-Based Education (OBE) is the most prominent method for teachers to improve student learning during the COVID-19 pandemic, however, achieving OBE in an online learning environment is a challenging task for teachers. In India, the ability to implement OBE with limited online resources …Outcome-Based Education (OBE) is the most prominent method for teachers to improve student learning during the COVID-19 pandemic, however, achieving OBE in an online learning environment is a challenging task for teachers. In India, the ability to implement OBE with limited online resources is crucial. Major online learning platforms such as Google Classroom, Zoom and Microsoft Teams are preferred by many universities. The goal of this paper is to analyze the results of OBE implementation during COVID-19 lockdown.

OBJECTIVES: In lockdown difficult implement OBE, educational institutions has no maintenance cost, but it impacts various health conditions of learners and teachers. In online learning, the maximum workload of teachers and learners are
spending with electric gadgets that affect the physical body, vital body, and mental body. Computer science students utilize online learning tools adopted through online platforms.

METHODS: We introduced a new Teaching-Learning (T-L) pedagogy for students and teachers who adopted the online T-L process, the new pedagogy is aimed at providing an algorithmic approach to implementing OBE in an online learning environment. It is an effective methodology on Program Specific Outcomes (PSO) and Course Outcome (CO) mapping functionality.

RESULTS: It described the online T-L platform achieved through the OBE had been proved on MATLAB software, the Course Outcomes (CO) and the Program Outcomes (PO) attainment through integrated OBE (iOBE) software. The survey
of three institutions is recommended 90% (percentage obtained by the learners’ positive rate subtracted with negative rate divides by total number of learners) positive rate of the learners and they recommended through online T-L Methodology.

CONCLUSION: The survey responses have shown how an online learning environment has provided more flexibility to computer science students. The three institutions survey also demonstrated how online learning is an effective T-L platform. The attainment of CO-PO mapping has been updated from time to time by using iOBE5.2 software, as per the given methodology more than 85% of learners agreed through the online T-L tool is an effective and the demand computer science education increased during the COVID-19 lockdown.
more »
Human-Paper Interaction in the Digital Era: Directions for Human-Information Interaction Design
Appears in:
ct 21(29): e2

Author:
Amir-Reza Asadi

Published:
12th Oct 2021

Abstract:
These days, we receive most information through digital mediums such as emails and social networking applications. Investigating the characteristics of human-paper interactions can help us design more meaningful interactions and better understand why people use pape…These days, we receive most information through digital mediums such as emails and social networking applications.
Investigating the characteristics of human-paper interactions can help us design more meaningful interactions and better
understand why people use paper documents in the age of digitalization.
In this study, the interaction of people with physical documents was studied through a mixed-method of conducting a
literature review, gathering expert opinions, interviewing subjects, and analysing Instagram photos. By codifying the
gathered information, the human-paper interaction framework was developed. This framework articulates the advantages of
physical documents compared to electronic documents and serves researchers and practitioners by providing insightful
human factors about human-document interaction.
Finally, we propose six design themes as the solutions to the findings of this study. These implications can provide practical
foundations for future design and research.
more »
Research on the Application of Augmented Reality Technology in the Transformation and Development of Cultural and Creative Industries
Appears in:
ct 21(29): e1

Authors:
Liying Feng, Giap Weng Ng, Liyao Ma, Maozheng Fu, Xiaoping Que

Published:
12th Oct 2021

Abstract:
INTRODUCTION: In this paper, China Hainan "Li" national woven culture is used as an example, the status quo and problems of cultural creative in-dustry in Hainan are analyzed, and the new trend of the development of Hainan cultural creative industry is further clarified. OBJECTIVES: The i…INTRODUCTION: In this paper, China Hainan "Li" national woven culture is used as an example, the status quo and
problems of cultural creative in-dustry in Hainan are analyzed, and the new trend of the development of Hainan cultural
creative industry is further clarified.

OBJECTIVES: The integration of AR technology and cultural creative industry is the main research object.

METHODS: This study integrates technology into culture, introduces AR technology to integrate the development of
Hainan cultural and creative industrial development, and propose the transformation strategy of cultural industries to
integrate scientific and technological innovation. The application examples of enhanced reality technology are introduced.
summarized the four technical characteristics and advantages of AR technology with virtual fusion, real-time interaction,
two-way mode and multi-intensity.

RESULTS: One preliminary result was Augmented Reality is a promising media to learn, promote and protect Hainan
national brocade culture.

CONCLUSION: It concludes generally Augmented Reality promoteslearning about, and builds back better Hainan's
cultural and creative industry.
more »

Smart Attendance Management System Using Face Recognition
Appears in:
ct 18(17): e4

Authors:
Kaneez Laila Bhatti, Laraib Mughal, Faheem Yar Khuhawar, Sheeraz Ahmed Memon

Downloads:
21783

Abstract:
To maintain the attendance record with day to day activities is a challenging task. The conventional method of calling name of each student is time consuming and there is always a chance of proxy attendance. The following system is based on face recognition to maintain the attendance record of stud…To maintain the attendance record with day to day activities is a challenging task. The conventional method of calling name of each student is time consuming and there is always a chance of proxy attendance. The following system is based on face recognition to maintain the attendance record of students. The daily attendance of students is recorded subject wise which is stored already by the administrator. As the time for corresponding subject arrives the system automatically starts taking snaps and then apply face detection and recognition technique to the given image and the recognize students are marked as present and their attendance update with corresponding time and subject id. We have used deep learning techniques to develop this system, histogram of oriented gradient method is used to detect faces in images and deep learning method is used to compute and compare feature facial of students to recognize them. Our system is capable to identify multiple faces in real time.
more »
Time-Series Prediction of Cryptocurrency Market using Machine Learning Techniques
Appears in:
ct 21(28): e4

Authors:
Mahir Iqbal, Muhammad Shuaib Iqbal, Fawwad Hassan Jaskani, Khurum Iqbal, Ali Hassan

Downloads:
3486

Abstract:
In the market of cryptocurrency the Bitcoins are the first currency which has gain the significant importance. To predict the market price and stability of Bitcoin in Crypto-market, a machine learning based time series analysis has been applied. Time-series analysis can predict the…In the market of cryptocurrency the Bitcoins are the first currency which has gain the significant importance. To predict the market price and stability of Bitcoin in Crypto-market, a machine learning based time series analysis has been applied. Time-series analysis can predict the future ups and downs in the price of Bitcoin. For this purpose we have used ARIMA, FBProphet, XG Boosting for time series analysis as a machine learning techniques. The parameters on the basis of which we have evaluated these models are Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and R2. We conduct experiments on these three techniques but after conducting time series analysis, ARIMA considered as the best model for forecasting Bitcoin price in the crypto-market with RMSE score of 322.4 and MAE score of 227.3. Additionally, this research can be helpful for investors of crypto-market.
more »
The Significance of a Body in Contemporary Arts
Appears in:
ct 16(6): e2

Authors:
Emmanouela Vogiatzaki, Artur Krukowski

Downloads:
3255

Abstract:
This paper discusses the role and significance of a body in Performance Art. Considering that Art reflects social, cultural and sometimes political realities, we identify types of messages that an artwork using advanced technological might transmit to us, spectators or artists. This paper focusses …This paper discusses the role and significance of a body in Performance Art. Considering that Art reflects social, cultural and sometimes political realities, we identify types of messages that an artwork using advanced technological might transmit to us, spectators or artists. This paper focusses on the Cyborg Theatre, whereby the technology is its inherent element without which the performance could not happen. Such a technological performance cannot occur without a body. We refer here to a cyborg body as a human organism extended with mechanical parts, which integrate non organic components in order to gain meaning within the artwork. By focusing on such a theatrical performance, we observe a relationship developing between the performer and the spectator. This is an unusual interaction, which deserves our attention. We claim that both the performer and the spectator take part in a social event that does not only represent societal realities, but also indicates future ones.
more »
The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey
Appears in:
ct 21(28): e3

Authors:
Feng Tao, Muhammad Shoaib Akhtar, Zhang Jiayuan

Downloads:
2980

Abstract:
AI in Cybersecurity Market scheme helps organizations in observance, detecting, reporting, and countering cyber threats to keep up information confidentiality. The increasing awareness among folks, advancements in info technology, up-gradation of intelligence and police work solutions, and i…AI in Cybersecurity Market scheme helps organizations in observance, detecting, reporting, and countering cyber threats to keep up information confidentiality. The increasing awareness among folks, advancements in info technology, up-gradation of intelligence and police work solutions, and increasing volume of knowledge gathered from numerous sources have demanded the utilization of reliable and improved cybersecurity solutions all told industries. The increase in the incidence and quality of cyber-attacks is driving AI-enabled cyber systems. Increasing incidents of huge cyber-attacks globally have created awareness among organizations for securing their information. The motive behind these cyber-criminals are political competition, competitors move for gain and harming the name of others, international information theft, and radical non-secular cluster interest. Most cyber-attacks are for gain. In this review we have presented some previous studies related to Cybersecurity which involves AI.
more »
Solitude or co-existence – or learning-together-apart with digital dialogic technologies for kids with developmental and attention difficulties
Appears in:
ct 17(12): e4

Authors:
E.K. Sorensen, H.V. Andersen

Downloads:
2145

Abstract:
An overall political vision of a prosperous society is one in which everyone has the same access and possibilities of participating in democratic processes, and in which everyone has equal access to the resources, life and learning – a society grasping the potential of diversity. This study reports…An overall political vision of a prosperous society is one in which everyone has the same access and possibilities of participating in democratic processes, and in which everyone has equal access to the resources, life and learning – a society grasping the potential of diversity. This study reports on research into the impact of digital technological interventions for including kids with attention and developmental dificulties into school class contexts. The paper describes, how the authors have approached the challenge of researching inclusion of kids with attention and developmental deficits for communication, collaboration and knowledge sharing. Some of the questions addressed in the study are: How – and in what sense - may technology and technological interventions be utilised to enhance this approach with our focus learners? In which situations does it occur in the case study? The data analysis assesses the potential of interventions with digital technology for acting as stimulating enzymes for life and learning. On the basis of a thorough discussion of the analysis and findings, the authors assess the degree to which interventions with digital technologies may promote inclusion through stimulating the participation in life and learning of kids with attention and developmental deficits.
more »
Evaluation of a Facial Animation Authoring Pipeline Seamlessly Supporting Performance Capture and Manual Key-pose Editing
Appears in:
ct 15(3): e4

Authors:
Fabrizio Nunnari, Alexis Heloir

Downloads:
2031

Abstract:
In this paper, we present an architecture following a novel animation authoring pipeline seamlessly supporting performance capture and manual editing of key-frames animation. This pipeline allows novice users to record and author sophisticated facial animations in a fraction of the time that woul…In this paper, we present an architecture following a novel animation authoring pipeline seamlessly
supporting performance capture and manual editing of key-frames animation. This pipeline allows novice
users to record and author sophisticated facial animations in a fraction of the time that would be required
using traditional animation tools. This approach paves the way towards novel animation pipelines which
seamlessly merge the roles of the animator and the actor. The second contribution is a method assessing a
facial retargeting system, we conducted a user study where participants assessed the emotions conveyed by
the facial expression displayed in the control and the authored animation. Contrary to existing evaluation
methods, it factors out possible misinterpretations of the intended emotion and focuses on assessing the
retargeting quality.
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Video Streaming Analysis in Vienna LTE System Level Simulator
Appears in:
ct 16(7): e1

Authors:
Zakaria Ye, Tania Jimenez, Rachid El-Azouzi

Downloads:
1850

Abstract:
The demand for multimedia services in mobile communication is increasing day by day due to the proliferation of end devices. To overcome the future needs of data communication on mobile devices, the $ 3^{rd} $ Generation Partnership Project (3GPP) has introduced a new technology which is known as L…The demand for multimedia services in mobile communication is increasing day by day due to the proliferation of end devices. To overcome the future needs of data communication on mobile devices, the $ 3^{rd} $ Generation Partnership Project (3GPP) has introduced a new technology which is known as Long Term Evolution (LTE) UMTS. In this paper, we study video streaming behavior on the LTE network. For this purpose, we use the Vienna LTE System Level Simulator which implements network features that correspond to our goal. We consider the parameters that may affect the users experience on a network and define ten scenarios for our simulations. We finally search for methods to fit the video streaming data traffic on the LTE network and exhibit its long range dependence.
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Sandtime: A Tangible Interaction Featured Sensory Play Installation For Children To Increase Social Connection
Appears in:
ct 17(10): e4

Authors:
Chulin Yang, Stephen Jia Wang

Downloads:
1482

Abstract:
From the study of social-interaction enhanced gaming design, aimed at providing a public environment which supports tangible & social interactions among children, we designed Sandtime. Sandtime is a public installation designed to encourage such interaction. Using the Tangible Interaction Design ap…From the study of social-interaction enhanced gaming design, aimed at providing a public environment which supports tangible & social interactions among children, we designed Sandtime. Sandtime is a public installation designed to encourage such interaction. Using the Tangible Interaction Design approach, this gaming installation features collaborative play and social interactions under public context, where children can collaboratively interact with the virtual onscreen characters by manipulating physical objects. This design is based on the study of how interactive gaming facilities can help to ease anxiety and enhance social interactions among children. In this paper, we want to continue this line of research by exploring further the elements that can enhance such interaction experience. This paper focuses specifically on the sensory play and how it can help to facilitate social interaction.
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Towards a 15.5W Si-LDMOS Energy Efficient Balanced RF Power Amplifier for 5G-LTE Multi-carrier Applications
Appears in:
ct 18(15): e5

Authors:
B. A. Mohammed, A. S. Hussaini, R. A. Abd-Alhameed, I. M. Danjuma, A. S. Asharaa, I. T. E. Elfergani, J. Rodriguez

Downloads:
1473

Abstract:
In this paper, a 15.5W Si-LDMOS balanced RF power amplifier has been designed using 2.620-2.690GHz frequency band to improve efficiency and linearity for 5G-LTE mobile applications. The amplifier was designed and simulated using large signal Si-LDMOS transistor model to achieve 53% PAE, 41dBm Pout,…In this paper, a 15.5W Si-LDMOS balanced RF power amplifier has been designed using 2.620-2.690GHz frequency band to improve efficiency and linearity for 5G-LTE mobile applications. The amplifier was designed and simulated using large signal Si-LDMOS transistor model to achieve 53% PAE, 41dBm Pout, 14 dB gain at P1dB saturation point. The proposed balanced RF power amplifier was fabricated and measurement results for phase variation of the signal between the carriers have been the main focus. At 1dB compression point power added efficiency increased to 81.5% with 19.5 gain at the Pout. The AM-AM and AM-PM measured data of the balanced RF power amplifier was extracted from the MATLAB fitting tool to produce polynomials. The polynomials were used in the proposed pre-distortion technique to compensate for the nonlinearities of the balanced power amplifier. A simple linear model was designed for behavioural modelling of the memory-less baseband digital pre-distorter. A Simulink IEEE 802.11a OFDM Transceiver system was used to demonstrate validity of the proposed pre-distorter. To the best of authors’ knowledge, this study presented excellent results of predistortion system that compensated the nonlinearity behaviour of the balanced RF power amplifier using the Simulink version R2011a.
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Comparative Analysis of Face Detection Using Linear Binary Techniques and Neural Network Approaches
Appears in:
ct 18(17): e3

Authors:
Laraib Mughal, Kaneez Laila Bhatti, Faheem Khuhawar, Fawwad Hassan Jaskani

Downloads:
1433

Abstract:
Facial recognition is now a days is very emerging topic. The most challenging task for normal human being is to follow the facial recognition retrieval model for correct match in the least running time. Especially while dealing with moving or non-static environment like live video, webcam recording…Facial recognition is now a days is very emerging topic. The most challenging task for normal human being is to follow the facial recognition retrieval model for correct match in the least running time. Especially while dealing with moving or non-static environment like live video, webcam recording, or accessing real-time video in which facial features are not clear as to take as input image. Comparison between two different approached has been presented in this paper, linear binary pattern Haar technique is compared by deep learning using neural networks, different images of different persons
has been taken, deep learning approach is more accurate according to different angles the video taken or any distance the video captured either for moving or static objects either from Mobile Video Camera or CCTV Camera then LPBH approach.
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Publisher: EAI
ISSN: 2409-9708
Number of Volumes: 9

Last Published: 2022-03-15