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:
A 5G-based smart pole is an IoT-based streetlight pole that consists of streetlights as its hardware, IoT devices with different functions, and an intelligent network interface with 5G communications protocol. This device can directly link to the Internet independently without a computer and has a built-in gateway and a sensor server to access the digital information from IoT devices, and also to control and to set up them. Digital output of the 5G-based smart pole enables the hardware pole to easily integrate multi-application, including digital illumination, digital monitoring system, push notifications, emergency reporting, and long-distance environmental monitoring. A 5G-based smart pole is usually stationed by the street in the LAN environment to perform the said applications. The 5G-based pole collects IoT data dynamically and provides various services. However, without a suitable scheduling algorithm, accessing various built-in services from a 5G pole will be a difficult job. For an administrator/user of remote access services, to have a full concept of the services and available time is impossible, especially the random access of the 5G pole network will complicate these procedures more. The main objective of this article is to develop an optimized QoS (Quality of Service) / QoE (Quality of Experience) management system that suits the 5G-based smart pole environment in order to utilize the restricted bandwidth more effectively. The QoS/QoE optimized rules that this article intends to develop can actively choose the best QoS resources of 5G communication based on current network status and aim at providing various services to transmit signals among 5G smart electric pole devices and 5G gNB/5GC to satisfy the needs in different scenarios.
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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