International Institute of
A Future Prediction on the Human-Computer Interface
Cwiakala, Martin (United States)
https://doi.org/10.54808/IMCIC2023.01.121
ABSTRACT:
This paper proposes a concept, beyond the brain-computer interface,
to a more general human-computer interface. Direct Neural imaging, or
DNI, involves reading and imposing signals from and upon the nervous
system. Humans, with their nervous system, are electrochemical beings.
Understanding, reading, and manipulating these signals will become the
standard human-computer interface protocol. While this is not currently
accomplished, this paper presents various strains of research that,
when evolved to a sufficient level, will inevitably lead to such technology.
Thinking about the ramifications of such technology leads to some interesting
questions regarding ethical concerns.
A Review on Security and Privacy of Smart Cities
Alsaiari, Abdulhakim; Ilyas, Mohammad (United States)
https://doi.org/10.54808/IMCIC2023.01.88
ABSTRACT:
Smart cities are expected to provide better services to citizens and
urban environments, and to enhance the quality of their daily life.
By utilizing smart technologies, Smart cities can deal with the emerging
urbanization issues and promote sustainable development. Despite this,
security and privacy issues are considered an obstacle which can impact
the success of such emerging technologies and smart systems in smart
cities. However, to fully leverage the benefits of smart systems and
promote their further development, it’s imperative to understand the
security and privacy threats that weaken systems and make them vulnerable
to be attacked. Motivated by these factors, this literature review provides
a useful comprehensive combination of related literatures on smart cities
challenges by technically analyzing various results. This review also
discusses several components of smart cities such as transportation,
governance, people, living, economy, innovative architecture, and associated
knowledge and ideas. This paper also aims to critically examine various
existing and deploying security and privacy protection methods for smart
cities. Finally, we highlight several unresolved challenges and suggest
future research possibilities and current security requirements, which
may help building secured, privacy-protected, and stable smart cities.
An Interdisciplinary Theoretical Framework to Examine Educational Television and Emotion Recognition in Children With Autism Spectrum Disorder
Ryan, Erin (United States)
https://doi.org/10.54808/IMCIC2023.01.234
ABSTRACT:
Previous research suggests that children 2-8 with Autism Spectrum Disorder
(ASD) can learn skills like emotion recognition from media content like
Thomas the Tank Engine. Whereas these researchers posited in
their Hyper-Systemizing Theory that the reason for learning lies in
idiosyncrasies related to ASD, this author contends that the manner
in which the media is crafted is the key to success. To test this notion
experimentally, an interdisciplinary "hybrid theory" specific to the
learning needs of children with ASD is a necessary first step. This
paper thus fuses elements from the following information processing
theories with Hyper-Systemizing Theory to create such a hybrid theory:
Cognitive Load Theory (CLT), the Limited Capacity Model of Motivated
Mediated Message Processing (LC4MP), Capacity Model, and the Cognitive
Theory of Multimedia Learning (CTML). The goal is to craft an interdisciplinary
theoretical model to serve as the basis for future work in the area
of ASD and learning from mediated content.
Applicability of the Intelligence-Led Policing Model in Brazil: The Case of the Military State Police of Santa Catarina
Rossi, Rafael Wohlemberg; de Rolt, Carlos Roberto; Trevisan, Luis Antonio Pittol (Brazil)
https://doi.org/10.54808/IMCIC2023.01.45
ABSTRACT:
This article aims to discuss scientific issues and evidence regarding
the policing intelligence-led model (ILP) in police institutions and
its applicability in the organizational reality of the Military Police
of Santa Catarina (PMSC). This is a theoretical-analytical study, with
a qualitative approach, through a systematic and narrative review of
national and international academic production. It was found that the
research on the subject is still incipient in the Brazilian scenario,
although space has been gained in several other countries, with a reasonable
number of studies. The adoption of intelligence-led policing has the
power to "unify" police work, enhance preventive action in public safety
and improve the strategic management of police organizations.
Arabic-English Machine Translation (MT) Quality: Exploring Researchers' Perspectives and Challenges
Alamri, Hayat; Al-Amri, Aisha (Saudi Arabia)
https://doi.org/10.54808/IMCIC2023.01.176
ABSTRACT:
This study examined how Saudi faculty members utilize DTPs and how they
impact research and abstract translations. The researchers designed
a six-dimensional questionnaire. Saudi faculty members prefer to consult
translation experts, smartphone apps, and websites like Google Translate.
The Kruskal-Wallis H test showed no statistically significant differences
in participant translation quality satisfaction. The study concludes
with practical recommendations and suggestions for further research.
Autonomous Utility Vehicle Development by Using Depth Camera and Machine Learning
Perez-Perez, David; Gonzalez, Gilberto; Tansel, Ibrahim (United States)
https://doi.org/10.54808/IMCIC2023.01.128
ABSTRACT:
Machine vision is one of the most important components in autonomous
systems. Autonomous vehicles process sensor data to identify objects,
estimate their locations, and determine the proper path. Development
of a multipurpose program is complex, expensive, takes ample time, and
may have many bugs. In this study, Intel Realsense D455 depth camera
was used to develop a navigation system for small utility cars. The
camera was integrated with Robot Operating System (ROS) for data analysis
and decision making. The D455 obtained images and calculated the distance
of every pixel in the frame. A deep-learning neural network with custom-trained
data was utilized to detect a test target’s bounding box. The obstacle
avoidance algorithm detected objects' distances on the path from the
depth information provided by the D455. The machine vision system calculated
the proper path and operated the DC motors to drive the vehicle towards
the target. The developed multipurpose machine vision system for utility
vehicles was adopted to the Autonomous Asphalt Laying Machine (AALaM).
In addition to the navigation, the asphalt feed and delivery components
were also integrated to the ROS and the entire system worked successfully.
Change Management and Enterprise Resource Planning (ERP) for Cloud Computing (CC) Services Based on Business Process Management (BPM): Case of an Oil Exploration Company
More Valencia, Rubén Alexander; Puicon Zapata, Hoower Augusto; Cruz Vilchez, Francisco Javier; Requena Flores, Rigo Felix; Agurto Marchán, Winner (Peru)
https://doi.org/10.54808/IMCIC2023.01.38
ABSTRACT:
The dynamics of operational systems by time makes, applications and
programs that are in use, become obsolete for handling information,
proposals for a planning of changes, with business resources, and invest
in scalability of data to information, solutions to failures by modular
practice, new management processes in financial and accounting processes.
The planning and execution of the integral management of the business
was studied, the results show that, the highest values of investment
in SAP and ERP consulting for the implementation is 54.08% of the initial
budget, but in the execution the representation decreases in -1.63%,
the behavior of the license service by application subscription, determines
a 21. 01% as additional payroll, with a percentage variation decreased
by -2.79%, the participation by reasonableness of these items indicates
decreases, however, increases are observed in services for consulting
in DSN, and the management of requirements of the IT area with increases
of 2.17% and 1.09% respectively. Balances are achieved even if there
are additional processes, but they require increases in professional
work, which applies as a direct effect and influence as decision capabilities,
in situations, problems, changes and transformations that were not foreseen,
critical in value and effectiveness.
Cloud-Based Services and Recommendations
Blair, Risa (United States)
https://doi.org/10.54808/IMCIC2023.01.98
ABSTRACT:
There are clear differences between threats, vulnerabilities, and risks.
It is essential to understand the differences to have such discussions
with clients. This paper will address using web-based applications for
videos needs and understanding the threats, vulnerabilities, and risks
of hosting their application on the cloud. Major threats and vulnerabilities
with Web applications will be presented so as to provide a clear picture
as to what is required to have comfort with a company hosting applications
in the cloud. Cloud adoption has led to an increased need for managing
security risks within dynamic environments. With multi-cloud architectures,
organizations may become overwhelmed by the large number of services
that require securing, potentially leading to a single misconfiguration
in one service resulting in a serious data breach. However, it is impossible
to avoid human errors, and automation is required to manage security
gaps effectively. To address these unique cloud security risks, a continuous
and automated approach is necessary. Organizations can establish a security
strategy to follow as they move to the cloud, and there will be guidelines
presented to secure multi-cloud infrastructure.
Comparing Real Time Student Situational Engagement in Traditional and Active Learning Classroom Using Non-invasive Electrodermal Measurements
Kozanitis, Anastassis (Canada)
https://doi.org/10.54808/IMCIC2023.01.133
ABSTRACT:
Active learning pedagogies are part of an ongoing effort from instructors
to generate a strong student engagement towards learning. When used
exclusively, or when combined with traditional lecturing, such teaching
methods have shown to increase student situational engagement. Because
of its fluctuating nature, traditional methods for measuring situational
engagement, such as questionnaires and semi-structure interviews, have
important limits. Available non-invasive neurophysiological technologies
for in situ use, allow to overcome these difficulties. This study used
electrodermal activity (EDA) sensors embedded in the E4 Empatica bracelet,
a non-invasive watch-like device, that measures skin conductivity in
real time. Fluctuations in participants electrodermal activity capture
degrees of variation of students’ situational engagement. Data was collected
between week 6 and week 11 of the winter semester for 2 groups (1 active
learning, 1 traditional lecturing). Results show that EDA levels are
generally higher for students in active learning classroom when compared
to those from the traditional lecture classroom.
Cross-Cultural Online Networking Based on Biomedical Engineering to Motivate Transdisciplinary Communication Skills (Invited Paper)
Hashimoto, Shigehiro (Japan)
https://doi.org/10.54808/IMCIC2023.01.242
ABSTRACT:
It is not possible to understand the whole with only a specialized field.
The content is not always correctly conveyed to non-specialists. In
this study, based on students’ awareness of preparing for the future
under a pandemic, understanding of the utility of masks against infectious
diseases, and the transition of students’ daily behavior under a pandemic,
a student group activity was carried out with the theme of “designing
tools and systems to contribute to social life in pandemic”. In addition,
to motivate students to improve their transdisciplinary communication
skills, cross-cultural online networking was carried out based on biomedical
engineering as a multidisciplinary field.
Data-Driven Security Measurements to Improve Safety in NYC and NJ Mass Transit
Nalluri, Nithya; Bsales, Michael; Nelson, Christie (United States)
https://doi.org/10.54808/IMCIC2023.01.72
ABSTRACT:
Public transit in America in recent years is potentially vulnerable
to terrorist or mass casualty attacks. These vulnerabilities are in
part due to the lack of strict screening and content policing, unlike
security at airports, but also their attractiveness as a potentially
high-value target. Although current public transit systems are designed
to efficiently allow passengers to quickly travel, screening of individual
riders for weapons remains limited due to current technology limitations
and high throughputs. This paper aims to develop an understanding of
the current state of security check systems as applicable to high-traffic
subway stations. We also worked towards creating a proof-of-concept
risk analysis model using crime and other types of publicly available
data for the New York City and New Jersey transit regions.
Defect Inspection and Detection in Solar Panels Using Image Sensing Technology: A Systematic Mapping Study
Méndez-Porras, Abel; Alfaro-Velasco, Jorge; Jiménez-Delgado, Efren (Costa Rica)
https://doi.org/10.54808/IMCIC2023.01.64
ABSTRACT:
The use of photovoltaic technologies quickly became popular. Defects
that affect power generation in solar panels have been identified. It’s
well known that external conditions can affect the performance of solar
panels. As its use becomes more widespread, mechanisms are needed to
keep it working optimally. We performed a systematic mapping study of
the published literature and included 171 papers. This study identified
the approaches and techniques that the literature has addressed to defect
inspection and detection in solar panels using image sensing technology.
The use of computer systems and image analysis technologies to detect
faults or external factors that affect the operation of photovoltaic
panels, represent efficient alternatives to reduce time, personnel dedicated
to inspections and increase efficiency in fault detection.
Deformation Direction of Cells Related to Passing Velocity Through Microgap
Hashimoto, Shigehiro; Uehara, Shogo; Kurihara, Ayaka (Japan)
https://doi.org/10.54808/IMCIC2023.01.12
ABSTRACT:
The deformation direction of cells related to the passing velocity through
a microgap has been investigated in vitro. The microgap (7
μm high, 0.4 mm wide, and 0.1 mm long) was manufactured between
the ridge and the groove in the micro flow-channel by photolithography
technique. Myoblasts (C2C12: mouse myoblast cells) were used in the
experiment. The flow rate of the medium fluid, in which cells were suspended,
was varied by the pressure head between the inlet and outlet. The deformation
of each cell passing through the micro gap was observed with an inverted
phase-contrast microscope. The two-dimensional projected image was tracked
using “ImageJ”. The experimental results show that cells increase the
velocity with deformation. Some cells tend to make elongation to the
flow direction.
Detection Techniques on the Internet of Things (IoT): A Survey of Current Challenges and Open Issues
Alrefaei, Ahmed; Alotaibi, Yazeed; Ilyas, Mohammad (United States)
https://doi.org/10.54808/IMCIC2023.01.51
ABSTRACT:
While the world’s population is increasing each year, the reliability
of technologies and their services is growing as technologies have become
one of the necessities of our daily lives. Recently, we have witnessed
remarkable development in communication and micro-controller technologies
that have led to the concept of the Internet of Things (IoT), which
includes millions of devices connected to communicate and exchange data
to build an intelligent world. The IoT is an ecosystem that enables
smart web devices that use integrated systems such as sensors, communication
technologies, and processors to transform, process, and exchange obtained
data. Moreover, there have been considerable advancements in the IoT
that allow devices to communicate and connect to exchange and transfer
data over IoT networks. Although the IoT has made remarkable developments
in several fields, the IoT is facing significant challenges in terms
of protecting and securing IoT devices and related intelligent systems.
These devices handle and generate large amounts of data, so providing
suitable security measures and requirements is essential to protect
security and privacy. While cyber-attacks and incursions are becoming
increasingly sophisticated with different techniques and strategies,
applying artificial intelligence through machine learning to prevent
and detect these attacks by automating security processes is essential.
In this paper, we survey and examine IoT security in terms of detection
through machine learning and explore some of the datasets that have
been used. Also, this paper highlights open issues, challenges, opportunities,
and solutions.
Effect of Cell Velocity on Dielectrophoretic Movement in Microchannel
Ono, Ryuya; Hashimoto, Shigehiro; Minato, Takuma (Japan)
https://doi.org/10.54808/IMCIC2023.01.23
ABSTRACT:
Dielectrophoresis was tried to be applied to the cell sorting technology
in previous studies. In the present study, the movement of mouse myoblast
cells flowing through the perpendicular electric field in the micro
channel has been analyzed in vitro. A pair of asymmetric surface electrodes
of titanium were manufactured by the photolithography technique: a triangular
electrode with the tip angle of 0.35 rad, and a rectangular electrode
of the flat edge as the reference. The cyclic alternating electric current
of the square wave with the period of 0.3 μs was introduced between
the surface electrodes to induce the asymmetric electric field perpendicular
to the main flow direction. The suspension of cells (C2C12: mouse myoblast
cell line) was injected into the flow channel, and the flow rate was
controlled by the pressure head between the inlet and the outlet. The
experimental result shows that the shifted dielectrophretic movement
of the flowing cell in the direction perpendicular to the medium flow
decreases with the increase of the flow velocity.
Effect of Force Field Direction on Elongation of Myoblast
Hashimoto, Shigehiro; Kishimoto, Kazuya (Japan)
https://doi.org/10.54808/IMCIC2023.01.7
ABSTRACT:
The effect of force field on elongation of a cell has been studied in
vitro. The stripe-pattern ridges (0.7 μm height, 3 μm
width, and 3 μm interval) was made on the surface of the scaffold
plate. Variation was made on the angle between the longitudinal direction
of the ridge and the direction of the force field by centrifuge: 0 degrees,
45 degrees, and 90 degrees. Myoblast (C2C12: mouse myoblast cell line)
was used in the experiment. After the centrifugation of 50 G or 100
G for 5 hours, the behavior of each cell (migration velocity, rate of
area change, and length including pseudopodia) has been tracked by the
microscopic time-lapse two-dimensional projected images for 200 minutes.
Every cell made elongation along the stripe-pattern ridges. Experimental
results show relatively low activity of cell elongation in the 0 degrees
region. The results would be applied to accelerate the formation of
engineered tissues.
Effect of Wall Shear Stress on Myoblast Orientation Distribution
Yonezawa, Hiroki; Hashimoto, Shigehiro; Ono, Ryuya (Japan)
https://doi.org/10.54808/IMCIC2023.01.29
ABSTRACT:
The effect of wall shear stress on the orientation of cells was examined
in vitro. Couette-type shear flow device was made between the
lower fixed culture plate and the upper rotating disk with a fixed gap.
After 24 hours of no-flow culture to allow cell attachment to the lower
culture disc, shear stress of 2 Pa or less was continuously applied
to the mouse myoblasts (C2C12) for 24 hours in the incubator. The behavior
(deformation and major axis angle) of each cell was tracked by time-lapse
images observed with an inverted phase contrast microscope placed in
the incubator. At a shear stress of around 1 Pa, cells tend to orient
parallel to the shear stress direction. Around 1.4 Pa, several cells
tend to deviate from the shear stress direction. Around 1.8 Pa, the
cell is widely distributed at various angles. Cells tend to grow longer
in the higher shear stress field in all directions, regardless of the
direction of shear stress below 2 Pa. The experimental results would
be applied to control the orientation of cells in the engineered tissue.
Efficient Minimization of the Probability of Software Errors Migration Within the SDLC
Nenov, Hristo; Djambazoff, Phil (Bulgaria)
https://doi.org/10.54808/IMCIC2023.01.79
ABSTRACT:
This paper presents an early bird approach for prevention of software
errors in the process of development within the Software Development
Life Cycle. A problem description and solution proposal to the latter
provide insights of the contemporary and common case which many businesses
face today.
Graffiti, Migrant Women, Intersectionality: Artistic Experiences in Portugal
Hoefel, Maria da Graça Luderitz *; Moura-Vieira, Maria Edna **; Alves-Hopf, Simone ***; Freire Filha, Lindomar Guedes *; Guerra, Paula **** (* Brazil, ** Spain, *** Germany, **** Portugal)
https://doi.org/10.54808/IMCIC2023.01.201
ABSTRACT:
The latest world events have impacted the socioeconomic and artistic
life of migrants (pandemic, wars and climate change). The feminization
of migration has caused a change in the profile of migrant women. These
migrant women have been suffering countless experiences that denounce
iniquities, some expressed through graffiti art. Objective:
To analyze the artistic experiences, resistance to differences
and oppression of gender, social class, race and nationality, experienced
by a female graffiti artist migrant in the context of COVID-19 in Portugal.
Method: Study carried out through action research,
netnography and oral history, in dialogue with some concepts: Coloniality,
Decoloniality, Intersectionality, Migration, Art. Results:
The artist's individual work is present on the walls of Lisbon, portraying
peoples in diasporas in different contexts, through aesthetics that
reveal Angolan matrices, gender oppression, social class, race and nationality;
The artist's collective work has interfaces with social, political and
cultural dimensions; During the pandemic, the artist reinvented herself
to survive. Conclusion: The artist's work is inserted
in the globalized world, where nationality has no borders, bringing
to light the colonial discourse that hierarchies society in race, gender
and nationality, reverberating power relations, oppression, intersectionality
in an aesthetic and political way.
Higher Education Students' Motivations to Choose Bilingual Courses in Tourism Management
Liu, Yuan Yuan *; Lace, Natalja *; Koleda, Nadezda *; Chen, Lu Lu ** (* Latvia, ** China)
https://doi.org/10.54808/IMCIC2023.01.149
ABSTRACT:
Course selection is the starting point for university students' learning,
which is related to students' future ability development. Clear motivation
of course selection helps students to form accurate expectations, so
as to optimize the process of course selection. This research has been
carried out in universities of China, examining tourism management majored
bachelor students’ motivations to choose bilingual courses in tourism
management. With an effective sample of 68 in-depth interviews from
19 universities of 6 provinces of China, this research employs bachelor
students who studies tourism management major and taking tourism management
related bilingual courses (in Chinese and English). This research reveals
students’ motivations of selecting bilingual courses. Therefore, suggestion
and implications are provided for course and teaching revolution of
the bilingual courses in the tourism management domain.
How Video Injection Attacks Can Even Challenge State-of-the-Art Face Presentation Attack Detection Systems
Carta, Kévin; Huynh, André; Mouille, Stéfane; El Mrabet, Nadia; Barral, Claude; Brangoulo, Sébastien (France)
https://doi.org/10.54808/IMCIC2023.01.105
ABSTRACT:
Owing to the digitization of our society, recently rushed by COVID 19
pandemic, remote biometrics, particularly facial recognition, are emerging
in plenty of applications that require authentication at distance. These
sensitive applications, mostly used in banking, governmental, or insurance
domains, are threatened by the well-known presentation attack threat
but also by video injection attacks (modification of the images taken
by the camera by the attacker), which are now more accessible to fraudsters
as devices are not scrutinized and under their control. We will see
in this paper that even a simple photo can fool state-of- the-art biometric
attack detection systems. Thus, we will give recommendations to avoid
the usage of video injection attacks by malicious applicants.
Infrastructure Funding Gap in Baltic States
Matisone, Anita; Lace, Natalja (Latvia)
https://doi.org/10.54808/IMCIC2023.01.162
ABSTRACT:
It is wildly acknowledged that the infrastructure level significantly
impacts any country's economic growth perspectives and social welfare.
The development and even maintenance of the existing infrastructure
require high financial investments with a long repayment period. Also,
to limit monopoly in the infrastructure networks, there is a line between
a free market and a regulated market providing these services. Therefore,
infrastructure finance is very complex.
The Baltic States substantially benefitted from EU Cohesion money in
improving and maintaining their infrastructure in the last decades.
The shift in EU funding priorities (starting from the planning period
2021-2027) from the traditional infrastructure projects to supporting
smarter and greener investments, besides other factors, will lead to
a substantial funding gap. The study is devoted to assessing the amount
of necessary funding in the Baltic States and identifying the factors
which could potentially attract more private investors in the infrastructure
projects in Baltics.
Integrating Quantum Computing into De Novo Metabolite Identification
Tsai, Li-An; Nuckels, Estelle; Wang, Yingfeng (United States)
https://doi.org/10.54808/IMCIC2023.01.84
ABSTRACT:
Tandem mass spectrometry (MS/MS) is a widely used technology for identifying
metabolites. De novo metabolite identification is an identification
strategy that does not refer to any spectral or metabolite database.
However, this strategy is time-consuming and cannot meet the need for
high-throughput metabolite identification. Böcker et al. converted the
de novo identification problem into the maximum colorful subtree (MCS)
problem. Unfortunately, the MCS problem is NP-hard, which indicates
there are no existing efficient exact algorithms. To address this issue,
we propose to apply quantum computing to accelerate metabolite identification.
Quantum computing performs computations on quantum computers. The recent
progress in this area has brought the hope of making some computationally
intractable areas trackable, although there are still no general approaches
to converting regular computer algorithms into quantum algorithms. Specifically,
there is no efficient quantum algorithm for the MCS problem. This study
explores the feasibility of integrating quantum computing into de novo
metabolite identification. The MCS problem can be considered as the
combination of many maximum spanning tree problems that can be converted
into minimum spanning tree problems. This work applies a quantum algorithm
designed for the minimum spanning problem to speed up de novo metabolite
identification.
Applying quantum computing to solve bioinformatics problems is challenging.
It requires knowledge of several areas, such as computer science, quantum
computing, and biology. However, conducting this type of research will
help students build an interdisciplinary mindset. Therefore, we attempt
to design an undergraduate research project for applying quantum computing
to identify metabolites without referring to any database. This project
provides opportunities for undergraduate students to learn computer
programing, algorithm design, quantum computing, quantum algorithm design,
and de novo metabolite identification. After students are familiar with
these areas, they are guided to identify the potential ways of solving
the identification problem by converting problems and searching literature.
Böcker et al. have converted the original identification problem into
the maximum spanning tree problem. While there is no existing quantum
algorithm for the maximum spanning tree problem, there is an existing
quantum algorithm for the minimum spanning tree problem. Students find
a simple way to convert the maximum spanning tree problem into the minimum
spanning tree problem. Carrying out this project does not only provide
the path for further accelerating de novo metabolite identification
by using quantum computing, but also assists in gaining experience in
boosting undergraduate interdisciplinary research.
IoT Big Data Privacy Using Blockchain Technology: A Survey
Balhareth, Ghaida; Alsolami, Theyab; Ilyas, Mohammad (United States)
https://doi.org/10.54808/IMCIC2023.01.58
ABSTRACT:
With the rapid growth of the Internet of Things (IoT), a large amount
of data that increasingly created by IoT devices and exchanged among
devices. IoT applications span many sectors, including Smart Homes,
Smart Cities, Agriculture, Autonomous Cars, and Healthcare. Security
and privacy of sensitive IoT big data are fundamental aspects of IoT
networks. Using blockchain technology in IoT applications can significantly
improve the privacy protections of sensitive data. This can also enhance
data management processes, preventing unwanted data leaks, tampering,
and other privacy aspects. This paper provides a detailed survey of
blockchain technology and how Blockchain, the underlying technology
of bitcoin, can be a crucial enabler in addressing numerous IoT privacy
aspects. In addition, some of the major privacy challenges for IoT are
also present.
Measurement of Repetitive Contractile Movement of Myotubes by Markers on Scaffold Film
Endo, Yoshiaki; Hashimoto, Shigehiro (Japan)
https://doi.org/10.54808/IMCIC2023.01.1
ABSTRACT:
The repetitive contractile movement of myotubes has been measured by
markers on the scaffold film. The scaffold was made of a thin polydimethylsiloxane
film (thickness of 6 μm), of which the back side had arrangement
of micro-protrusions (4 μm diameter, 2 μm height, interval
30 μm) made by the photolithography technique. Mouse myoblasts
(C2C12) were cultured to be differentiated into myotubes on the scaffold
for 10 days. The movement of matrix pattern of micro-markers on the
rear side of the thin film has been tracked associated with the repetitive
movement of myotubes under the cyclic electric pulse stimulation in
vitro. Comparison was made related to the movement of myotubes
in several areas. The difference of contractile movement patterns of
myotubes layer can be detected by the movement (distance and direction)
of matrix pattern of markers.
Measuring Explicit and Valuing Tacit Synergies of High-Tech Based M&A Deals: From Real Options Perspective
Čirjevskis, Andrejs (Latvia)
https://doi.org/10.54808/IMCIC2023.01.143
ABSTRACT:
The paper aims to justify that an explicit competence-based synergy
can be foreseen with the ARCTIC framework and tacit synergies can be
valued by real options application. The current paper makes several
theoretical and empirical contributions to strategic management and
corporate finance. Regarding the contribution to strategic management
discipline, an application of the ARCTIC framework goes beyond the application
of VRIO resources to the operation of an individual corporation in individual
foreign countries and, hence, contributes to a resource-based view of
strategy in an international context. Moreover, having explored the
recent acquisition of Souq.com by Amazon.com, the paper has illustrated
how tacit competence-based synergies of M&A deals can be measured with
real options application techniques valuing market value-added of the
collaboration. In the end, the paper discusses theoretical and empirical
contributions, limitations to the application of real options valuation,
and future research work.
Meta-Disciplinarity of Digital Education and Communication
Makhachashvili, Rusudan; Semenist, Ivan (Ukraine)
https://doi.org/10.54808/IMCIC2023.01.209
ABSTRACT:
Dynamic transformation of the knowledge economy, enhanced by Industry
4.0/5.0 development and rise of the networked society in the Digital
Age, emergency digitization of all social communicative spheres due
to pandemic measures have imposed dramatic changes onto transdisciplinary
overlap in different areas of human knowledge and experience, induced
by the cross-sectorial job market demands of university level education,
curriculum design and learning outcomes.
The Covid-19 pandemic induced amplified digitalization measures in the
higher education sphere. This end-to end digital shift in the educational
processes (communication, content, outcomes and outputs, skills) heralded
the introduction of meta-disciplinary dimensions of learning – digital,
hybrid and, blended. These meta-disciplinary dimensions can be considered
conduits of vertical (endocentric) and horizontal (exocentric) transdisciplinary
of digital education as a communicative system.
Applied meta-disciplinary lens contributes to the solution of holistic
modeling of processes and results of updating models and mechanisms
of the highly dynamic communication system of education in the digital
environment as a whole and its individual formats in the emergency digitization
measures of different types.
METAVERSE for Destination Marketing in the Era of Great Changes
Liu, Yuan Yuan *; Lace, Natalja *; Chen, Lu Lu ** (* Latvia, ** China)
https://doi.org/10.54808/IMCIC2023.01.156
ABSTRACT:
As a simulation and preview of the real universe, METAVERSE can be applied
to promote the exploration of the real world, while tourism as a way
to explore the distant real world is irreplaceable. With the application
of 5G, Artificial Intelligence, AR, VR and other technologies, the tourism
scene is no longer that traditional. The digital transformation of the
tourism industry has become the trend, and the self-substitution and
immersive and non-delay social experience are becoming a new consumption
choice for tourists. In the context of the era of great changes, the
combination of METAVERSE and tourism destination marketing is an important
way to promote the development of tourism wisdom. This paper aims to
explore the integration of METAVERSE and destination marketing to promote
the development of tourism, especially during the era of great change.
This study reveals a model of values of METAVERSE from marketing perspective
and applies the model in tourism destination marketing domain. Zhangjiajie
scenic attraction, one of the most famous tourism destinations in China
adopting METAVERSE for its destination marketing, has been studied.
Movement of Cell Flowing Over Oblique Microgroove
Moriizumi, Natsuki; Hashimoto, Shigehiro; Uehara, Shogo (Japan)
https://doi.org/10.54808/IMCIC2023.01.17
ABSTRACT:
The bumping movement of the cell flowing over the oblique microgroove
has been analyzed in vitro. The micro flow-channel (0.05 mm
high, 1 mm wide, 25 mm long) with grooves (4.5 μm deep) has been
manufactured of polydimethylsiloxane (PDMS) by micromachining technique.
The angle between the main flow direction and the longitudinal axis
of the groove was 45 degrees. Variation has been made on the width (0.03
mm, 0.04 mm, and 0.05 mm) of the groove. Myoblast (C2C12: mouse myoblast
cell line) was used in the test. A main flow velocity (0.5 mm/s < vc
< 3 mm/s) of the medium was controlled by the pressure difference
between the inlet and the outlet. The centroid of each flowing cell
was tracked on the movie recorded by the camera attached on the eyepiece
of the microscope. The experimental results show that the flowing direction
of the cell changes when it is passing over the oblique groove. The
flowing direction change of a cell depends on the flowing velocity of
the cell and the width of the groove. The micro flow-channel with microgrooves
has potential to be applied to sorting cells.
Pragmatic Measures of Information Quality for Changing Activity Success in Systems
Geyda, Alexander (Russian Federation)
https://doi.org/10.54808/IMCIC2023.01.194
ABSTRACT:
The article discusses the problem of information quality measurement
from a multidisciplinary perspective, focusing on its pragmatic aspect
in terms of information use in systems. It is proposed that mathematical
models be used to estimate the quality of information based on its impact
on system functioning. The author suggests possible sequences of complex
states and transitions, described by diagrammatic and formal models,
and uses these models to calculate quantitative measures of success
for information use in systems. The author identifies several interrelated
research directions in this area. The article presents a new approach
to solving the problem of information quality assessment based on mathematical
models and methods.
Primary Healthcare Face to the Long COVID-19 Syndrome: Building Comprehensive Care Bridges
Alves-Hopf, Simone *; Moura Vieira, Maria Edna **; Hoefel, Maria da Graça Luderitz *** (* Germany, ** Spain, *** Brazil)
https://doi.org/10.54808/IMCIC2023.01.183
ABSTRACT:
Primary health care (PHC) has been heavily affected by the pandemic
caused by SARS-CoV-2 and has also been critical in the care of patients
with the Long COVID-19 syndrome. Objective: Understanding
the mechanisms developed to improve management (patient referral and
counter-referral) in the comprehensive care of patients with the Long
COVID-19 syndrome, in dialogue with the Brazilian and German primary
health systems. Methods: This integrative
review conducted by PubMed and Web of Science allowed a brief theoretical
and exploratory discussion of the management of the Long COVID-19 syndrome.
Results: The Long COVID-19 syndrome damages
multiple organs; The management of the patients should be based on multimodal
and biopsychosocial models; Brazilian and German health systems have
some strengths. However, although primary health coverage seems to be
growing in both countries, it is still possible to observe challenges
related to the digitalization of health systems and availability of
financial resources; Primary care plays an important role in comprehensive
care of patients. Conclusion: It is necessary
to have a professional understanding of the pathophysiological processes
of this disease, develop guidelines for the appropriate and effective
management of symptoms, create patient referral and counter-referral
strategies, and consider local, national, and territorial peculiarities.
Promoting Trustworthy News Through iTV Notifications
Encarnação, João; Velhinho, Ana; Bentes, Simão; Silva, Telmo; Abreu, Jorge; Santos, Rita (Portugal)
https://doi.org/10.54808/IMCIC2023.01.125
ABSTRACT:
The growth of social media and user-targeted information reinforces
the need to check sources to prevent the dissemination of unreliable
content [1]. In this context, an innovative solution is presented based
on the established proliferation of news notifications and the potential
identified in the TV ecosystem since it connects multiple devices such
as over-the-top (OTT) platforms and mobile devices. The proposed approach
aims to send news notifications with a high index of credibility through
television.
Survey for Security in IoT in e-Healthcare
Alsolami, Theyab; Balhareth, Ghaida; Ilyas, Mohammad (United States)
https://doi.org/10.54808/IMCIC2023.01.94
ABSTRACT:
Internet of Things (IoT) has tremendously contributed to advance and
improve healthcare. This is because IoT makes all the healthcare devices,
interact with each other in a very sophisticated way. This also provides
an elaborate platform to collect healthcare information, analyze it,
and share the results. This paper presents an electronic healthcare
is a network consisting of sensors, tools, actuators, and control units
that interact with each other without human intervention or supervision
using internet of things (IoT). Also, the security concerns of IoT users
within electronic health care, Legal Underpinnings of Security in IoT
Environments, and the contributing factors to security challenges in
IoT environments.
The Analogical Way: How Blind People Used to Do Mathematics Before the Computer Era
Mele, Michele; Sicignano, Gennaro (Italy)
https://doi.org/10.54808/IMCIC2023.01.35
ABSTRACT:
This paper provides a brief history of the tools that people with low
or no sight have used throughout the centuries to study or produce mathematical
results before modern technologies, such as computers and screen-readers,
were invented and changed the way people with visual disabilities approach
the subject. Blind or partially sighted people who wanted to do mathematics
have often created new tools and methodologies for themselves, often
keeping them private for long periods, but eventually revolutioning
the mathematical education and research with their inventions, many
of which provided the inspiration for the technologies we have today.
The Future of Upskilling: Human- and Technology-Centered
Beichter, Tim; Kaiser, Manuel (Germany)
https://doi.org/10.54808/IMCIC2023.01.190
ABSTRACT:
The technological progress, social and value change, sustainability,
and climate change are few examples for current key drivers of transformation
processes to which organizations are exposed. Due to the increasing
speed of these changes, many employees may no longer apply the specialist
knowledge they have acquired during their vocational education throughout
their entire work life. Existing knowledge must be kept up to date,
and new knowledge must be acquired to be competitive in the job market
of the future. Against this background, the relevance of continuing
education (upskilling) in the professional environment is increasing.
Therefore, our aim with this article is to reflect on the future of
upskilling and how it should respond to the challenges described above.
In doing so, we identify three focal fields of action: First, new technologies
and emerging trends should be the starting point for upskilling activities,
as they lead to both new education content as well as new didactic learning
formats. Second, organizations and humans (the learning employees) should
be placed at the center of future upskilling activities. Humans are
individuals with different levels of knowledge and skills as well as
different learning behaviors. Third, there should be a closer connection
between research and the practice of upskilling to transfer scientific
findings quickly and easily into new and innovative learning formats.
The PISA Model: A Common Data Security Model for the Industrial Internet of Things (IIoT) Information Systems
Ward, Gerard; Janczewski, Lech (New Zealand)
https://doi.org/10.54808/IMCIC2023.01.113
ABSTRACT:
The Industrial Internet of Things (IIoT) describes a transdisciplinary
Information System (IS) that integrates the previously discrete domains
of Information Technology (IT) and Operational Technology (OT), as well
as relatively more recent innovations such as Artificial Intelligence
(AI). The IIoT requires a fidelity of data to support the orchestration
of autonomous processes which may include the control of safety-critical
tasks which were historically the province of OT. The data created and
consumed by the IIoT IS may also be subject to privacy and regulatory
considerations, particularly in use-cases centered on people, such as
autonomous vehicles and smart cities.
These IS domains that makeup the IIoT have different architectures,
lexicons, and priorities. To contribute to the IIoT risk governance
processes that the emergent and complex IIoT paradigm requires, this
research builds on previous work to present a generalized data security
model relevant to the IIoT ensemble, which is referred to as the PISA
Model. The acronyms in this novel PISA Model relate to the controls
that support Privacy, Integrity, Safety, and Availability. The model
was refined over three Delphi rounds by a transdisciplinary panel of
experts. The PISA Model can contribute to the safe and secure operation
of the IIoT IS by assisting the identification of both safety-critical
and business-critical data risk.
Tourism Education on Sustainability Through an International Short Film Festival
Nakabasami, Chieko; Masuko, Miho (Japan)
https://doi.org/10.54808/IMCIC2023.01.221
ABSTRACT:
In this paper, we report on the Toyo University Tourism Short Film Festival,
which has been held yearly since 2020, and discuss how managing the
festival is effective for sustainable tourism education from a transformative
learning perspective. Transformative learning theory was advocated in
1978 by Jack Mezirow. From a transformative learning perspective, students
are thought to internally reflect on sustainable tourism through the
experience of managing a short film festival. This paper indicates how
the students have been revising and improving their learning on sustainable
tourism before, during and after the festival. The effectiveness of
the interdisciplinary process between tourism education and film festival
management is also shown through interviews with 10 student workers
who participated in the festival.
Transdisciplinary Communication in the Meta-Framework of Digital Education
Makhachashvili, Rusudan; Semenist, Ivan (Ukraine)
https://doi.org/10.54808/IMCIC2023.01.215
ABSTRACT:
Dynamic transformation of the knowledge economy, enhanced by Industry
4.0/5.0 development and rise of the networked society in the Digital
Age, emergency digitization of all social communicative spheres due
to pandemic measures have imposed dramatic changes onto transdisciplinary
overlap in different areas of human knowledge and experience, induced
by the cross-sectorial job market demands of university level education,
curriculum design and learning outcomes.
The global pandemic and subsequent warfare in Ukraine induced amplified
digitalization measures in the higher education sphere. This end-to
end digital shift in the educational processes (communication, content,
outcomes and outputs, skills) heralded the introduction of meta-disciplinary
dimensions of learning – digital, hybrid and, blended. These meta-disciplinary
dimensions can be considered conduits of vertical (endocentric) and
horizontal (exocentric) transdisciplinary of digital education as a
communicative system.
Applied trans-disciplinary lens of the phenomenological approach contributes
to the solution of holistic modeling of processes and results of updating
models and mechanisms of the highly dynamic communication system of
education in the digital environment as a whole and its individual formats
in dynamic sustainable and emergency digitization contexts.
Understanding Corporate Sustainability Drivers Across Corporate Life Cycle
Zumente, Ilze; Lāce, Natalja (Latvia)
https://doi.org/10.54808/IMCIC2023.01.168
ABSTRACT:
Environmental, social, and governance (ESG) drivers refer to the factors
that can affect a company's performance and decision-making processes
in relation to its impact on the environment, its treatment of stakeholders
such as employees and customers, and its adherence to good governance
practices. These drivers can change based on a company's life cycle
stage, as the priorities and challenges facing a company can vary significantly
at different stages of its development. This research presents an innovative
approach to determining the relevant ESG drivers across corporate life
cycle stages using Analytical Hierarchy Process (AHP). The results obtained
from surveying 25 experts representing Baltic region indicate that AHP
is a viable tool to measure the relative significance of ESG catalysts
and illustrate that there exist different sets of drivers which have
an impact on ESG enactment decisions at different times of a firm's
evolution.
This study offers an overview for decision makers who are trying to
distinguish and prioritize ESG drivers with an aim to achieve a more
extensive ESG implementation in the emerging economies.
University-Business Collaboration as a Mean to Enhance the Development of Competences 4.0
Poszytek, Paweł; Fila, Jadwiga; Jeżowski, Mateusz (Poland)
https://doi.org/10.54808/IMCIC2023.01.139
ABSTRACT:
This paper elucidates the notion of competences 4.0, proposes how to
evaluate universities’ abilities to provide environment necessary to
develop such competences among their students and staff and discusses
how to measure the current state of collaboration between the world
of education and the world of business with respect to competence development.
The authors also focus on the digital transformation in higher education
institutions and on means to measure whether universities provide sufficient
environment for the development of 4.0 competences on two examples:
the Quality Label for the Standard in Developing the Competences of
the Future and the Index of Higher Education - Business Engagement (HEBE
Index).
Young Children With Autism Spectrum Disorder Learning Emotion-Recognition From Animated Media Content
Ryan, Erin (United States)
https://doi.org/10.54808/IMCIC2023.01.227
ABSTRACT:
Research suggests that children with Autism Spectrum Disorder (ASD)
can learn executive functioning (EF) skills like emotion-recognition
from media content such as Thomas the Tank Engine. Whereas
those researchers posited the reason for such learning lies in idiosyncrasies
related to ASD itself, this author argues the way media is crafted is
the key element in determining successful learning. An interdisciplinary
approach is needed to uncover how children with ASD can best learn from
mediated content, especially regarding EF skills. By bridging Autism
research with communication research, best practices for creating media
content to teach EF skills to young children with ASD can be cultivated.
A hybrid theory of cognitive capacity and multimedia learning by high-systemizers,
in which elements from four theories focusing on working memory and
the limitations of the cognitions of the viewers (Cognitive Load Theory,
Limited Capacity Model of Motivated Mediated Message Processing, the
Capacity Model, and the Cognitive Theory of Multimedia Learning) were
combined, indicates that content creators must keep things simple in
order to make a mediated character accessible to children with ASD.
A small survey of parents of children with ASD bears this out; parents
were asked about their child's relationship with media, what has been
successful in their home, whether there are favorite programs/characters,
and whether they believe their children are learning EF skills from
media. Results indicated parents believe their children have special
relationships with mediated characters they cannot duplicate with people.
Some parents noted their children displaying better emotion-recognition
after viewing. The formal characteristics of favorite programs indicate
support for the hybrid theory of cognitive capacity and multimedia learning
by high-systemizers.
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