International Institute of
A Study in Performing Big Data Analytics with Limited Resources
Mathis, Steven; Coffey, John (United States)
https://doi.org/10.54808/IMCIC2022.02.136
ABSTRACT:
Data Analytics are usually the purview of large organizations with significant
human and computational resources. The purpose of the article is to
identify how organizations with limited resources, including limited
computing power and bandwidth, can carry out meaningful Data Analytics
at a granularity that fits their particular needs. This paper presents
a case study in creating and maintaining a COVID dashboard for a 5-county
area in the Panhandle of Florida, using only free software and publication
platforms. Results of this study are informative for any local or regional
entity needing focused data analytics.
A Study on Smart Education Promoting a Regional High-Quality Education System – A Case Study of Guizhou Province of China
Qi, Si (China)
https://doi.org/10.54808/IMCIC2022.02.195
ABSTRACT:
With the continuous development of informatization and the deep integration
and innovation of the internet and education, smart education is based
on technological changes. It is gradually transforming technology from
an educational service tool into an educational subject with a certain
degree of mobility and practicality. Smart education has brought about
significant changes in the form of education and learning methods. As
an education model that adapts to a new generation of information technology,
such as, Big Data, Artificial Intelligence and Internet of Things, smart
education has far-reaching significance for transforming educational
ideas and concepts. It deepens educational reform, improves the quality
and efficiency of education and cultivates innovative talents. It is
an inevitable choice for achieving leapfrog development of education.
As a big data center of China, Guizhou Province has a solid foundation
and good conditions for developing smart education. This study conducts
an in-depth research on the Sunshine Campus - Smart Education project
of smart education in Guizhou Province, demonstrates the successful
experiences of smart education construction in Guizhou Province. This
study explains the far-reaching significance of smart education for
promoting the construction of a regional high-quality education system.
It establishes the model of smart education system, and provides a theoretical
basis for future studies of smart education system.
An IoT Based Landslide Monitoring and Fuzzy Logic Driven Early Warning System
Harerimana, Felix; Musabe, Richard; Mikeka, Chomora (Rwanda)
https://doi.org/10.54808/IMCIC2022.02.105
ABSTRACT:
The problem of landslides has been reported across the globe. Specifically,
in Rwanda, the landslide problem has been witnessed in the western province
of Rwanda for many years with a most recent event being reported in
May 2022. When this happens it leads to losses due to destruction of
properties and even sometimes death. Recently over 100 homes were damaged,
39 homes reportedly completely destroyed and 117 families were displaced
as a result. However, there are no proper ways of alerting residence
before such events occur so as to minimize the eventual impacts. Attempts
have been made to come up with solutions but most of those are not applicable
to the unique African setting due to connectivity, cost and power challenges.
The emerging technologies of Internet of Things and Artificial Intelligence
provide capabilities which can be exploited in coming up with improved
solutions. This study therefore was aimed at designing and prototyping
an IoT based landslide monitoring and early warning system. A qualitative
research method was used to collect and analyze data during the system
analysis phase. This system made up of an Arduino microcontroller unit
(MCU), a soil moisture sensor, accelerometer sensor and a vibration
Sensor. Based on the values collected by these sensors landslide prediction
was done based on fuzzy logic on the microcontroller and appropriate
warning alerts sent to the users via GPRS/GSM. The device is also fitted
with a GPS module for tracking in case of landslides. The collected
data is stored on the Thing Speak cloud platform for analytics and visualization.
The implementation of the system will lead to a reduction in losses
and deaths as a result of the earthquakes. The collected data can also
be used for planning and further research by the government and other
agencies.
Application of Artificial Neural Networks to Obtain Steel Mass Loss Models for Atmospheric Corrosion in the Metropolitan Area of Mexico City
Bolaños-Rodríguez, Ernesto; Lezama-León, Evangelina; Vega-Cano, Gaby Yolanda; Solís-Galindo, Alonso Ernesto; Acuña-Galván, Israel; Zárate-Rosas, Antonio; Pérez-Torres, Iván Gabriel (Mexico)
https://doi.org/10.54808/IMCIC2022.02.86
ABSTRACT:
In this work, Artificial Neural Networks (ANN) are applied to obtain
models of steel mass loss due to atmospheric corrosion in the Metropolitan
Zone of Mexico City. For this purpose, the best performing ANN is selected
and the results obtained are compared with those obtained with the use
of Multiple Linear Regression. The main conclusions show that under
the norms of the International Organization for Standardization (ISO)
the corrosivity of steel ranges from low to high depending on the environmental
conditions of the area.
Application of Blockchain Technology to Smart Sustainable Tourism Destination Marketing
Liu, Yuan Yuan *; Lace, Natalja *; Chen, Lu Lu ** (* Latvia, ** China)
https://doi.org/10.54808/IMCIC2022.02.177
ABSTRACT:
Blockchain technologies was raised in 1991, with a 30- year development
of the technologies, they have been adopted in many areas in the digital
arena. As groundbreaking disruptive technologies, blockchain technologies
are influencing the tourism industry although the current researches
have not been fully examined. This paper aims at exploring the application
of blockchain technologies to smart sustainable tourism destination
marketing. This paper reveals the interrelationship between smart tourism
and sustainable tourism, presents advantages of blockchain technologies
in tourism settings and further studies the possibilities of applying
blockchain technologies for destination marketing based on the creation
of a model for destination marketing in the era of blockchain technologies.
On the one hand, this paper presents features of blockchain technologies
and explains the working mechanism of blockchain technologies in the
tourism settings functioning their features and promoting the tourism
sector. On the other hand, this paper illustrates pillars, aspects and
indicators of sustainable tourism with the aim of integrating smart
tourism with sustainable tourism.
Basic Study on Evaluation of Earphone Hearing Loss - Audiogram Database for Ear Age Estimation -
Hishida, Hirotoshi; Watanabe, Tomoki; Fujii, Yamato; Hishida, Yasuhiro; Hishida, Keiko (Japan)
https://doi.org/10.54808/IMCIC2022.02.34
ABSTRACT:
Audiograms are needed to predict ear age in earphone deafness prevention
studies. So far, the authors have collected data not only in Japan but
also overseas, statistically integrated them, and evaluated errors.
While the Caucasian audiograms have been dealt with in the last paper,
Japanese audiograms are statistically considered in the present paper.
The discussion refers to the simplest modeling example of an audiogram
which is confirmed to be in good agreement with the actual situation.
The gender gap between Japanese was smaller than that of Caucasians,
but the gender gap between Japanese was smaller than that of Caucasians,
but females were less likely to have deafness than males, and hearings
of males varied more than that of females. The hearing of young people
falls near 3000Hz as a result of the integration, but it is considered
that the graph around the region should be interpolated smoothly. Improving
the modeling accuracy will help to understand various things.
Basic Study on the Mechanism of Earphone Hearing loss - Results of Ear Age Measurement Experiment Conducted in 2022 -
Hishida, Hirotoshi; Fujii, Yamato; Hishida, Keiko; Watanabe, Tomoki; Hishida, Yasuhiro (Japan)
https://doi.org/10.54808/IMCIC2022.02.29
ABSTRACT:
In our laboratory, in order to help prevent earphone deafness from young
people, modeling its mechanism based on engineering ideas has been trying.
The correlation between the ear age and the actual age of subject, and
the sound energy which the subject has been exposed to so far, are important
information for the purpose. Various collection methods have been tried
but it may be that the best method has not been reached yet. The method
should be developed, especially questioning methods for estimating sound
energy with high accuracy. Ear age measurement has produced some success
with the current method in which subjects listen to the sounds of 1000Hz
to 21000Hz in order. Lectures are held, in which data are collected
from the general public. 46 subjects were obtained at a lecture held
in the summer of 2022. Ear ages of Males tend to be worse than those
of females. In addition, while the ear age of the elderly is not bad,
there are many young people with bad ear age.
Behavior of Myoblasts in Two-Dimensional Colony Under Shear Flow Field
Hashimoto, Shigehiro; Yokomizo, Takashi; Endo, Yuji (Japan)
https://doi.org/10.54808/IMCIC2022.02.7
ABSTRACT:
The effect of the direction of the shear flow field on the behavior
of each cell in a two-dimensional colony has been investigated in
vitro. To make a Couette type of the shear flow, the culture medium
was sandwiched with a constant gap between parallel walls: a lower stationary
culture disk, and an upper rotating disk. The wall shear stress (1 Pa)
on the lower culture disk was controlled by the rotating speed of the
upper disk. Myoblasts (C2C12: mouse myoblast cell line) were used in
the test. After cultivation without flow for 24 hours for adhesion of
cells on the lower plate, the constant wall shear stress was continuously
applied on cells for 7 days in the incubator. The behavior of each cell
was traced at the time-lapse images observed by an inverted phase contrast
microscope placed in an incubator. Experiments have shown that the behavior
of each cell depends on the direction of the shear stress field, even
in the confluent layer. That is, moving upstream and expanding the area
parallel to the shear stress field while maintaining the direction to
the shear flow.
Big Data Analytics Examining Push-Pull Motivations to Visit Sustainable Tourism Destinations
Liu, Yuan Yuan *; Lace, Natalja *; Chen, Lu Lu ** (* Latvia, ** China)
https://doi.org/10.54808/IMCIC2022.02.171
ABSTRACT:
Nowadays, the Information and Communication Technologies (ICTs) are
influencing people’s lives, and a data-driven model is empowering almost
all business. Tourism sector is not an exception in the era of ICTs
when smart devices are indispensable components. Information searching
traces are left when people are using the smart devices for information
supporting decision making. Therefore, referring to the tourism sector,
the success of destination markets largely depends on tourists’ inspirations
to choose and to visit. Big Data analytics is one of the methods predicting
tourists’ arrivals to destinations. This paper aims at two folds, on
the one hand, identifying tourists’ motivations to visit sustainable
tourism destinations, on the other hand, exploring big data analytics’
capabilities in examining tourists’ selections to visit sustainable
tourism destinations, especially, in the times of the post pandemic
era.
Bumping Movement of Cell Flowing Over Oblique Micro-Groove: Comparison with Movement Outside Groove
Hashimoto, Shigehiro; Matsumoto, Taketo; Uehara, Shogo; Endo, Yoshiaki (Japan)
https://doi.org/10.54808/IMCIC2022.02.23
ABSTRACT:
The bumping movement of the cell flowing over the oblique micro groove
has been analyzed in comparison with the movement of the cell flowing
outside groove 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
is 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 (0.02 mm/s < vx
< 0.23 mm/s) of the medium was controlled by the pressure difference
between the inlet and the outlet. The shape 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 two-dimensional
projected area and major axis direction of the cell changed when it
fell into the groove and escaped from the groove. Changes in cell area
and major-axial direction were magnified over the micro groove compared
to cells moving out of the micro grooves.
Business Intelligence as a Support for Epidemiological Surveillance in Veneto (North-Eastern Italy): The Case of West Nile Disease
Cunial, Giovanni; Gagliazzo, Laura; Pasqualin, Dario; Callegaro, Azzurra; Di Martino, Guido; Mazzucato, Matteo; Mulatti, Paolo; Favero, Laura; Manca, Grazia (Italy)
https://doi.org/10.54808/IMCIC2022.02.127
ABSTRACT:
An efficient surveillance system is essential to design and prioritize
control actions and to prevent disease spread both in animal and human
populations. A web-based application (RESOLVE) has been developed by
the Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), a veterinary
public health institute, in response of specific national or regional
programmes. RESOLVE allows combining heterogeneous data to enhance data
sharing, and communication of information on animal health and livestock
disease statuses. Multiple sources of data include: 1) spatial data
related to locations of interest (e.g. farms, stables, and capture sites
for entomologic surveillance; 2) data from the National Animal Registry;
3) Laboratory data (e.g. results of tests on swabs and serum samples)
from IZSVe Laboratory Information Management System (LIMS) named IZILAB.
The system provides data sharing and visualisation through a mixture
of static and dynamic web pages, accessible with different levels of
confidentiality. The application includes pages on multiple animal diseases
and zoonoses; among these the section on West Nile Disease (WND) is
one of the most representative in terms of complexity and relevance
for human health. Hereby, we describe a practical use of RESOLVE applied
to the management of WND data surveillance in livestock production in
Veneto Region (North-Eastern Italy).
Changes in Generations X and Y Consumer Behavior Caused by the COVID-19 Pandemic
Oganisjana, Karine *; Bąk, Monika **; Kozlovskis, Konstantins *; Andersone, Ieva * (* Latvia, ** Poland)
https://doi.org/10.54808/IMCIC2022.02.189
ABSTRACT:
This study analyses the changes in consumer behavior caused by the COVID-19
pandemic. The emphasis is laid on the comparative analysis of respondents
of highly active purchasing ages who represent Generation X (39-58)
and Generation Y (18-38). The set of research methods used in this study
consists of comparative descriptive analysis, qualitative content analysis,
and Chi-square test of quantitative and qualitative data collected in
an electronic survey of 982 respondents from different countries of
Asia and Europe. It was revealed that the main changes in consumer behavior
are conditioned by personal finances and safety & health related measures
intensified during the pandemic.
Design and Basic Evaluation of Virtual IPv4 Based CYPHONIC Adapter
Goto, Ren; Yoshikawa, Taiki; Komura, Hijiri; Matama, Kazushige; Nishiwaki, Chihiro; Naito, Katsuhiro (Japan)
https://doi.org/10.54808/IMCIC2022.02.59
ABSTRACT:
The rapid spread of cloud services and Internet of Things (IoT) leads
to a request for secure communication between devices, called zero-trust
security. However, security tends to be a low priority compared to the
designated service because zero-trust security requires security knowledge.
Therefore, a secure communication framework for developers’ service
development process is essential as the security measures. The authors
have developed CYber PHysical Overlay Network over Internet Communication
(CYPHONIC) for secure end-to-end communication between devices. Since
the CYPHONIC provides secure communication, it also performs as the
secure communication framework. The current implementation requires
installing the device program into the end devices to join our overlay
network. However, it should support general devices such as embedded
devices or dedicated service servers even if they refuse to install
the additional program. This paper proposes a new technology to support
these general devices without installing the device program into the
devices. We developed a CYPHONIC adapter to provide secure communication
to the general devices. It shows that general devices can communicate
over the overlay network through the proposed CYPHONIC adapter.
Digital Maturity and Value Capture of Small and Medium Sized Enterprises
Kasperovica, Ludmila *; Lace, Natalja *; Ciemleja, Guna *; Tesarova, Mariana ** (* Latvia, ** Czech Republic)
https://doi.org/10.54808/IMCIC2022.02.159
ABSTRACT:
The aim of the study is to reveal the impact a company's digital maturity
on its economic indicators of balanced growth, promoting the company's
sustainable development. Literature sources on the importance of digitization,
digital maturity and maintaining the value of the company within the
business model were analyzed within this study, a questionnaire to assess
the level of digital development of companies was created. Using this
questionnaire, a survey of companies from various industries was conducted
to determine their digital maturity. The level of digitization determined
is analyzed within the business model (BM) dimension of value capture
in the context of changes in the relevant economic indicators: turnover,
costs and profits. After analysis of the literature sources and processing
of the survey data, the authors conclude that the company's digital
maturity ensures success only if all elements of the BM are transformed,
otherwise the balanced growth of economic indicators is not ensured.
Direction of Cell Deformation During Microgap Passage
Hashimoto, Shigehiro; Shimada, Sakyo; Uehara, Shogo (Japan)
https://doi.org/10.54808/IMCIC2022.02.17
ABSTRACT:
A biological cell can pass through a narrow gap. The gap plays a role
of filter of cells in vivo. In the preset study, deformation
of a cell during passing through a micro-gap in a micro flow channel
has been analyzed in vivo. A gap with the rectangular cross
section (7 μm high, 0.4 mm wide, and 0.1 mm long) has been made
at the middle part of the micro flow channel by the photolithography
technique. Myoblasts (C2C12: mouse myoblast cells) were used in the
test. The flow rate of the medium fluid, in which cells were suspended,
was controlled by the pressure head between the inlet and the outlet.
The deformation of each cell passing through the micro gap was observed
with an inverted phase-contrast microscope. The experimental results
show that the cell tends to extend in the direction of flow with the
increase of the velocity during the movement of passing through the
gap.
Effect of Wall Shear Stress Gradient on Cell: Distribution of Deformation and Rotation
Yonezawa, Hiroki; Hashimoto, Shigehiro; Ono, Ryuya (Japan)
https://doi.org/10.54808/IMCIC2022.02.53
ABSTRACT:
The effect of the wall shear stress gradient on deformation and rotation
of each cell has been investigated in vitro. To make a Couette
type of shear flow, the culture medium fluid was sandwiched with a constant
gap between parallel walls: a lower stationary culture disk, and an
upper rotating disk. 3T3-L1 (mouse fat precursor cells) was used in
the test. After cultivation without flow for 24 hours for adhesion of
cells on the lower plate, the shear stress lower than 2 Pa was continuously
applied on cells for 24 hours in the incubator. The behavior (deformation
and major axis angle) of each single cell was tracked at the time lapse
images observed by an inverted phase contrast microscope placed in an
incubator. Under wall shear stresses of lower than 1.9 Pa, each cell
exhibits active behavior: migration, deformation, and rotation. Many
cells transform into spheres at the wall shear stress higher than 1.9
Pa. Many cells tilt against a wall shear stress gradient around 50 Pa/m.
Ensuring Efficiency Through Employee Onboarding: Case From Latvia
Koleda, Nadezda *; Ciemleja, Guna *; Strakova, Jarmila ** (* Latvia, ** Czech Republic)
https://doi.org/10.54808/IMCIC2022.02.165
ABSTRACT:
New employee onboarding plays a crucial role in efficiency of companies
operating in the contact centre industry, where the share of labour
costs is very high. There is a strong relationship between employee
experience and company profitability ratios. Research shows that companies
with a high positive new employee experience can increase their efficiency
ratios; however, many companies still require a lot of improvement in
their employee onboarding process. The purpose of this research is development
of concept for new employee onboarding to improve contact centre companies’
efficiency. The new employee onboarding concept developed was introduced
and approved in a contact centre in Latvia using LEAN, case study, and
experimental design approaches. Key conceptual improvement was: 1) use
of the A3 method for problem solving sessions; 2) Fishbone approach
for root cause analysis; 3) implementation and monitoring of onboarding
KPIs; 4) identification of critical performance points as a tool for
managerial decisions to minimize excessive costs for onboarding at different
stages of employee integration.
Factors Affecting Operational Activities of a Construction Company
Locovs, Jevgenijs; Gaile-Sarkane, Elīna (Latvia)
https://doi.org/10.54808/IMCIC2022.02.183
ABSTRACT:
In line with growing population, urbanization and other global challenges,
the construction industry grows and plays and increasingly important
role in national economies. Simultaneously, the number of construction
companies is growing, and their size is changing. We can observe global
trend of polarization – larger companies become larger, small companies
become smaller Business environment is becoming more volatile and it
is challenging to make large companies more agile. Based on the performed
systematic literature overview, experts’ opinions and validation within
a focus group, authors identified and described 13 factors that directly
affect the operational activity of a construction company were determined
which play a significant role in the daily routine of any construction
company. Based on the identified factors, companies could employ them
to influence management and to guide their organizations through the
stormy seas of construction industry in a safer manner.
GANs and TL: Is the Combination Better than the Sum of its Parts? – Promises and Challenges of Deep Learning Applications in Medical Image Analysis for Long-Term Impact
Sutrave, Kruttika; Zeng, David; Godasu, Rajesh (United States)
https://doi.org/10.54808/IMCIC2022.02.153
ABSTRACT:
While novel AI/ML-based systems are being developed by researchers in
the healthcare domain, it is unclear how effective they are for real-world
adoption. Hence, it is critical to analyze these systems for their long-term
impact. We review the emerging literature on the intersection of GANs
and TL in medical image analysis to identify various approaches for
blending them to improve DL-based systems. Furthermore, we evaluate
the included studies based on Generalizability and Scalability. We established
various research trends and discovered three broad approaches to combine
GAN and TL. Also, we found that simpler combinations have a higher potential
for real-world adoption.
Greenhouse Gas Emissions Reductions Enabled by Digital Twins
McNair, William Randell; Devarakonda, Maruthi (United States)
https://doi.org/10.54808/IMCIC2022.02.141
ABSTRACT:
We will shortly describe the using of a digital twin in the context
of a near-real time Decision Support System oriented to the objective
of making continuous and incremental decisions related to the carbon
footprint of an industrial facility, by means of creating projects related
to scheduled maintenance turnaround. This may also be related to decisions
regarding parallel capital investment, in which case it would support
a justification for the associated inversion.
On this article we will shortly describe de context of problem being
addressed, the use case assumptions, the potential database Boolean
keywords / search strings that will be used and provides a research
summary. An editorial note has been included where shortly describe
explicitly what implicitly supports and orient this research.
Health Disparities and COVID-19
Shafer, Fiona; Nelson, Christie (United States)
https://doi.org/10.54808/IMCIC2022.02.130
ABSTRACT:
As the COVID-19 pandemic progresses across the nation and the world,
data suggests the virus disproportionately impacts marginalized communities.
Specifically, disparities exist in infection rates and disease outcomes
by race and ethnicity in the United States. However, it is unknown to
what degree these differences have impacted specific communities across
the country. During this research project, we present various research
avenues related to COVID-19 and health disparities, including but not
limited to long term care facilities and education systems.
This study focused on three research questions:
1. What factors in long term care facilities lead to a more at-risk
facility for COVID-19 outbreaks and other poor health outcomes?
2. How does the ability of a school to re-open impact students differently
based on their race and ethnicity?
3. Were certain groups of students prioritized in school re-opening
plans?
Hysteresis Effect of Tangential Force Field on Cell Deformation on Micro-striped Topography: Behavior of Cell Migrating Between Different Pattern Compartments
Hashimoto, Shigehiro; Sekine, Wataru; Yonezawa, Hiroki; Endo, Yuji (Japan)
https://doi.org/10.54808/IMCIC2022.02.12
ABSTRACT:
The hysteresis effect of tangential force field on deformation of a
cell has been studied in relation to the behavior of the cell migrating
to different topography pattern compartments 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 tangential force 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 for 5 hours, the
two-dimensional projected area (S) of each cell has been tracked by
the time-lapse microscope images for 48 hours. The experimental results
show that the cell area S tended to shrink and stabilize as a cell migrated
into the striped compartment of surface topography parallel to the tangential
force field. The variation in the cell area S was greater in the surface
topography compartment with the diagonal stripes with respect to the
tangential force field. These reactions of the cells remained for 30
hours after the stimulation was stopped.
Investigating Data Risk Considerations in Emergent Cyber Physical Production Systems
Ward, Gerard; Janczewski, Lech (New Zealand)
https://doi.org/10.54808/IMCIC2022.02.119
ABSTRACT:
The Industrial Internet of Things (IIoT) describes a computing model
where ubiquitous networks of heterogenous devices equipped with embedded
sensors and actuators support innovative data-centric business models.
Emergent IIoT use cases include Cyber Physical Production Systems (CPPS)
to support asset optimization through self-organization of modular machines
within production systems. In CPPS, raw materials, machines, and operations
are interconnected to form a tightly integrated network.
To ensure manufacturing continuity as CPPS networks evolve, asset managers
will need to evaluate risk across multi-disciplinary domains. The domains
have different architectures, lexicons, and priorities. To contribute
to the eventual codification of data risk in CPPS, this research builds
on previous literature to consider how data flow across the CPPS model.
The resulting refinements to current models were informed by a panel
of experts drawn from disciplines including information and operational
technology to bring greater specificity to the definition of business-critical
data in supporting IIoT. Based on these expert views, a conceptual hierarchical
automation architecture that may characterize many future state production
processes, is presented.
Learning Collective Intelligence Through Repeated Trials Without Feedback
Arima, Yoshiko (Japan)
https://doi.org/10.54808/IMCIC2022.02.80
ABSTRACT:
The critical issue common to group process studies and collective intelligence
studies is "which of the crowds and the best members perform better."
It could be a matter of democracy versus dictatorship. Having evidence
of the growth potential of the crowd and experts will be helpful in
many situations for the benefit of humankind in making correct predictions.
In the collective intelligence experimental paradigm, experts' ability
is compared with the accuracy of the crowd average. In this research
(n = 620), using repeated trials of simple tasks, we compare the correct
answer of a class average (index of collective intelligence) and the
best member (the one whose answer was closest to the correct answer).
The results indicated that, for the cognition task, collective intelligence
improved to the level of best member through repeated trials without
feedback; however, it depended on the ability of the best members for
the prediction task.
The present study provided evidence of best members' superiority for
the prediction task to crowds on the premise of being free from social
influence. Moreover, this study suggests that we cannot easily find
the best member among us beforehand because the best members appear
through repeated trials.
Music Database for Earphone Hearing Loss Prevention and Music Therapy - American Musical Songs -
Hishida, Hirotoshi; Komatsu, Yoshihiro; Nomura, Tomohiro; Hishida, Yasuhiro; Hishida, Keiko (Japan)
https://doi.org/10.54808/IMCIC2022.02.40
ABSTRACT:
In our laboratory, the author is constructing a music database and trying
to use it for earphone hearing loss prevention research and music therapy
research. This paper describes the FFT analysis results carried out
to "The Sound of Music" newly added to the database.
This is the very famous old American pop music, which belongs to the
new American music genre, but has a strong classic element. The spectra
of all pieces show characteristics close to 1/f. The WAVE data
made by two different producers are obtained and compared. The two WAVE
data of the first piece "Overture - The Sound of Music" are significantly
different. Those of the other pieces are not so different. In general,
the WAVE data of many pieces in the original version had louder high
frequent sounds than the newest version. Also, the spectra of the pieces
in the newest versions are not similar to each other.
In the future, the authors would like to discuss the difference in listening
comfort due to the difference in spectrum.
Music Database for Earphone Hearing Loss Prevention and Music Therapy - Development Policy of the Earphone That Can Prevent Hearing Loss -
Nomura, Tomohiro; Hishida, Hirotoshi; Fujii, Yamato (Japan)
https://doi.org/10.54808/IMCIC2022.02.48
ABSTRACT:
Improper use of earphones has exacerbated deafness, especially among
young people. An easy way to prevent earphone deafness is to reduce
usage time. However, this is difficult in reality. It may be that a
method of appropriately cutting high-energy treble is also effective.
Since treble is an important factor related to sound quality, cutting
treble automatically without considering who listens or what kind of
sound, for an example, which genre of music, causes deterioration of
sound quality. In this study, a preliminary experiment to compare WAVE
data and MP3 data which was cut mainly high-pitched sound components
above 16000Hz is conducted. The subjects judge that the sound quality
of the WAVE data was better than that of the MP3 data for all five commercial
music used in this experiment, which suggests that they are inferred
to use a lot of high frequencies. On the other hand, there were variations
in sensitivity and insistence on sound quality among the subjects.
Proposal of Food Recognition Function Added to the System That Automatically Calculates the Calorie Value of Ingredients
Namekawa, Emi; Hishida, Hirotoshi (Japan)
https://doi.org/10.54808/IMCIC2022.02.44
ABSTRACT:
In particular with the recent of corona disaster, it should be important
to keep healthy eating habits and to have to be careful that don't be
obesity or overweight. For that purpose, it is aimed to make it a habit
to do on a daily basis the calorie calculation. The authors would like
to solve the problem by conducting a basic study to add an automatic
judgment function for ingredients to commercially available automatic
calorie calculation equipment.
It is necessary to study an image capture device and artificial intelligence
that realize the automatic judgment function of foodstuffs. A convolutional
hierarchical neural network would be effective as an artificial intelligence
for such problem. The initial goal is to aim for an automatic judgment
function which is as small as possible so that mandarin oranges can
be distinguished from other ingredients.
Runtime Framework for Smartification Projects
Amaral, Pedro; Calado, Jorge S.; Sarraipa, João; Jardim-Gonçalves, Ricardo (Portugal)
https://doi.org/10.54808/IMCIC2022.02.74
ABSTRACT:
Industry 4.0. is introducing the process of Smartification, which is
the process of adding technology to everyday, nontechnological objects,
enhancing them, and granting them new uses. And since said smartified
objects can be accessed, and controlled remotely through computers,
it opens up the chance to enhance equipments during runtime. Best assets
provided during runtime include monitoring the correct execution of
the program and signaling the maintenance system when needed. This system
can also be connected to a platform capable of giving the user enough
information about the equipment, and tools to report back feedback to
developers. This data, along with normal user records is stored in a
database, and further data studies and analysis can be performed to
profile users and suggest further upgrades through updates. The goal
is to present a framework capable of providing the main considerations,
concerns and concepts for runtime exploration capable of enhancing and
adapting any equipment or object.
Salient Patch Based NAS for Grading of Colorectal Cancer Histology Images
Meng, Hang; Li, Fei; Yang, Zhen; Zhu, Qiang; Fan, Chaogang; Zhan, Shu (China)
https://doi.org/10.54808/IMCIC2022.02.146
ABSTRACT:
Digital histopathological tissue images are gold material for cancer
diagnosis and grades. Convolutional Neural Networks (CNNs) are state-of-the-art
models in many image classification tasks. However, considering the
limited computing resources, it is not practical to directly train CNNs
on gigapixel resolution histopathological tissue images. Therefore,
the entire histopathological image is commonly divided into a grid of
patches and then fed each patch to CNNs, but not all patches are necessary
for specific tasks. Besides, although CNNs are excellent image classifiers,
many pre-trained models are based on natural images. Neural Architecture
Search (NAS) can realize automatic search, construction, and training
specific problem-oriented networks. We present salient patch based NAS
for grading colorectal cancer (CRC) histology images with these motivations.
The proposed framework first applies the classic classification network
to extract significant patches from the whole image, then use the network
obtained by NAS to grade the patches, and finally aggregates the patch-level
predictions to generate the entire CRC histological image label. Our
experiments on microscopic colorectal tissue images demonstrate that
the proposed method is sufficient to obtain more accurate classification
results compared to its counterparts. We also conducted a comprehensive
analysis of the different scenarios of the proposed method.
Smart Cities, Sustainability, and Quality of Life – A Comparison of Indexes and the Indicators They Include
Teixeira, João Vitor Souza *; Baracho, Renata Maria Abrantes *; Soergel, Dagobert ** (* Brazil, ** United States)
https://doi.org/10.54808/IMCIC2022.02.111
ABSTRACT:
There is no consensus on what it means to be a Smart City. Nonetheless,
many cities around the world are adopting Smart City initiatives; Information
and Communication Technologies (ICT) seem to be the common denominator
of all these initiatives. But smart cities should evolve not only in
technology but also in sustainable development that supports life quality.
Sustainability can be measured by goals provided by the UN and also
by indexes such as ISO 37.120:2014. Life quality can be defined by indexes
as well, such as the Human Development Index (HDI) or any of several
Urban Quality of Life (UQoL) indexes. So an index that measures “smartness”
of a city is by necessity quite complex. To get a better sense of the
indicators (or themes) such an index should include, we analyzed five
indexes: one index of sustainability, one of life quality and three
indexes for smart cities. We compared these in terms of the indicators
or themes they addressed and then we surveyed the websites of 35 smart
city initiatives to see for each indicator / theme we identified how
many smart city initiatives considered it. We found that the themes
that appeared in the highest number of indexes were also most frequent
in smart city initiatives of the cities studied, and also that cities
are convergent with tackling the same problems of society nowadays.
Smart Pole Connectivity via the fusion of IoT, AI, and 5G
Tung, Yi-Chih; Lin, Yi-Nan; Ho, Chih-Hsiang; Chen, Cheng-Chang (Taiwan)
https://doi.org/10.54808/IMCIC2022.02.71
ABSTRACT:
Not available.
The Phenomenon of Traditional Masculinity and Its Impact on Advertising: A Qualitative Study Based on Consumer Engagement in Digital Environment
Kreicbergs, Toms; Ščeulovs, Deniss; Andersone, Ieva (Latvia)
https://doi.org/10.54808/IMCIC2022.02.65
ABSTRACT:
The aim of the research is to explore consumer perceptions of traditional
masculinity in advertising, determining the effectiveness of these advertising
efforts of offering brand’s version of masculinity to men. The scientific
literature on the subject of masculinity in advertising is increasingly
suggesting a cultural shift taking place in Western society and the
need for brands to adopt more inclusive depictions of masculinity. This
research, however, is analyzing the traditional versions of masculinity
and the impact of that through advertisers’ perspective, by developing
a methodology of analyzing consumer perceptions through statistical,
sentiment, discourse and qualitative content analysis. The results show
that contrary to what significant amount of scientific literature suggests,
traditional masculinity can be well perceived by consumers, especially
if the advertisement is presenting traditional masculinity with humor.
The results also indicate correlation between likeability and consumer
engagement and the importance of the main character and characteristics
displayed in the advertisement for receiving positive consumer feedback.
Tracking Local Contractile Movement of Myotubes Layer Using Matrix Pattern Markers Microfabricated on Rear Side of Scaffold Thin Film
Endo, Yoshiaki; Hashimoto, Shigehiro; Horiguchi, Fumiya (Japan)
https://doi.org/10.54808/IMCIC2022.02.1
ABSTRACT:
To measure the local repetitive contractile movement of the layer of
myotubes, the movement of micro matrix pattern markers on the rear side
of the scaffold thin film has been tracked under electric stimulation
in vitro. The scaffold was made of a polydimethylsiloxane film
(6 μm thickness) with micro-protrusions (4 μm diameter, 2
μm height, 30 μm interval) made by the photolithography technique.
C2C12 (mouse myoblast) was seeded on the film at the counter surface
to the protrusions at the density of 50000 cells/cm2. The cells were
cultured to be differentiated into myotubes on the scaffold for 10 days.
The electric pulses (2 V amplitude, 0.5 s pulse period, 1 ms pulse width)
were applied between electrodes of titanium wire dipped in the medium.
Both the markers on the film and the myotubes on the counter side of
the film are able to be simultaneously observed by adjusting the focus
of the microscope. The experimental results show that the local cyclic
movement of the layer of myotubes was able to be measured with the movement
of each marker. The designed scaffold has a potential to analyze the
local contractile movement of the layer of myotubes in vitro.
Video Injection Attacks on Remote Digital Identity Verification Solution Using Face Recognition
Carta, Kévin; Barral, Claude; El Mrabet, Nadia; Mouille, Stéfane (France)
https://doi.org/10.54808/IMCIC2022.02.92
ABSTRACT:
The COVID 19 pandemic has fuelled the acceleration of the use of remote
services as, for example, video conferences or digital identity verification
solutions. Due to videoconferences or social medias, attackers have
access to rich biometric sources and therefore make it possible to carry
out high quality attacks such as videos of deepfakes, or morphing, against
face recognition system. These kind of video attacks allow the attacker
to fool face recognition even when these systems are secured by challenge-based
liveness detection by presenting them. In order to prevent against these
kind of attacks, adding an artefact detection to these systems could
be a good solution. However, we will see in this paper that the development
of remote digital identity verification tools on mobile application
or on a computer (through a web app) opens the path to video injection
attacks which bypass all of these security systems, namely a face recognition
system secured with both challenge-based liveness detection and artefact
detection.
Vision Based Traffic Throughput Analysis with Object Detection and Trajectory Clustering
Chew, Jia Hui Kenneth (Singapore)
https://doi.org/10.54808/IMCIC2022.02.98
ABSTRACT:
Transportation planning holds great importance in building a convenient,
well-connected and fast transport system. We need to maximize utility
and value of road usage for a country as land scarce as Singapore. In
this study we attempt to evaluate the efficacy of trajectory clustering
with different distance metrics across different types of road junctions.
We collected trajectories from vehicle detections using YoloV3 and plotted
out the trajectories with object tracking using DeepSORT. We then clustered
these trajectories based on the road junction profile and qualified
them by fifteen-minutes time intervals. Results show that dependence
on vision-based detection for trajectory clustering in traffic throughput
analysis seems to over-predict in its final counts due to the lack of
object permanence by an average of 146%. We offer some insights into
future related studies based on systematic review of data collection,
as well as synergy between different modern hardware technology.
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