International Contest of Innovation 2021
iCAN 2021
Final ProgramDec 19. 2021
Online broadcast

https://wx.vzan.com/live/tvchat-926404290?v=1639822628605#/
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Schedule
15:00/Beijing Time, Dec 19th, 2021
15:00-15:10

Opening Ceremony and Welcome Message
15:10-19:10

Final Defense

15mins/each including 12mins presentation and 3mins Q&A
NumberProject Name

University

1

Real-time visualization of density change of Air by a simple camera

2

Fullness Checker

3

National University of Defense Technology, China
Tohoku Denshi professional School, Tohoku
University, N High School, Japan

Development of Products Falling Prevention System in Stores Based On
Earthquake Early Warnings Notices

Teikyo University, Japan

4

Huai Ning Kang-Lead Huaixiang Medicine to Become Rich and Well-off

Shanxi Medical University, China

5

The Heart of Hongmeng - Integratable Energy Harvesting Patch

Northwestern Polytechnical University, China

6

Sitting Time Counter

Tohoku Institute of Technology, Japan

7

i-HairChengdu University of TCM, China

8

Fluorescence based rapid E. coli Detector

9

Spot

Karlsruhe Institut of Technology, Germany

Middle ear infection detection system for children by a mobile phone

King Mongkut’s Institution of Technology Ladkrabang,

based on deep learning technology

Thailand11

Smartcase

Saarland University, Germany

12

Non-invasive glucose monitoring based on near-infrared spectroscopy

10

13

14

King Mongkut’s Institution of Technology Ladkrabang,
ThailandKing Mongkut’s Institution of Technology Ladkrabang,
ThailandPre-symptomatic Detection of COVID-19 System Based on Deep

King Mongkut’s Institution of Technology Ladkrabang,

Learning Technology from Smartwatch Data

ThailandYuhuo Technology — Fully Autonomous Underwater Robots Service

National University of Defense Technology, Dalian

Platform

Maritime University, China
Fhnw University f Applied Sciences North Western

15

Mold Prevention and Alerting

16

Road Surface Condition Detection System

Switzerland
Ishinomaki Senshu University, Japan

19:10-19:30
19:30-20:00

BreakAward Ceremony

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No. 1
Real-time visualization of density change of Air by a simple camera
Xinhai Zhao, Qi Mi, Bo Zhang, Yao Xu, Wenpeng Zheng
National University of Defense Technology, China
E-mail : 18773129527@163.com

ABSTRACTThis project developed a product that can measure the density change of Air by a single camera! Usually, the air
density will change when it is heated, compressed, or mixed with other species of gas. The air density variation
will influence the light transmission.
When gas runs into Air, the density of Air will be changed, as well. A traditional method is not capable to figureout how the gas leaking is happening. It is hard for a radar to find a stealth aircraft. But, when the aircraft isflying in Air, it will compress a large area of Air. So, if we can obtain the density change of such a large area
then we might be able to detect the stealth aircraft.
The system of “Real-time visualization of density change of Air by a simple camera” is composed of abackground pattern, a camera, and a computer. The system calculates the air density field by capturing lightdeflection information. When the light emitted by the background pattern passes through the disturbed air
density field, it shifts on the imaging plane. We propose an improved cross-correlation algorithm to obtain the
sub-pixel level light offset vector, use the geometric relationship of the optical path to calculate the refractive
index distribution, and obtain the density distribution through the conversion of the GD relationship.
By monitoring the density variation of Air, the system can be used to detect forest fires, pipeline gas leaks, flighttrails of stealth aircraft, and control respiratory transmission.

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No.2
Fullness Checker
Yosuke Sasaki, Masanari Inoue, Yuduki Inuduka
Tohoku Denshi professional School, Tohoku University, N High School, Japan
E-mail : inoue@natural-science.or.jp

ABSTRACT
Today, people can eat as much food as they want. Human feels full by the rise of blood sugar along with thedigestion. Digestion takes a little time, so there is space between the start of eating and the beginning to feel full.
The continuing of eating during this time lag causes overeating. The fast eating also contributes to theovereating. The overeating leads to cancer and heart disease, which are the disease killing the most people in theworld.
In order to solve these problems, we developed a device which restricts eating and restrains you from fasteating. When you put on a belt on which the device is, the device estimates the amount of food eaten in real time
based on the pressure between the belt and the abdomen, and provides feedback to the user via vibration and app
notifications to reduce food intake at the eighth meal. In order to detect fast eating, which is said to be a badeating habit, we also conducted an experiment to measure pressure when eating at a normal pace and wheneating at double the pace and double the speed. The results showed that the abdominal pressure increased slowly
according to the amount of food eaten in both cases at first, but then increased rapidly when the speed of eating
was doubled, making it possible to detect fast eating by capturing this rapid change in pressure.
Using this result, we have implemented a mechanism that when a fast meal is detected, the device vibrates
slowly to calm the user down and inhibit fast eating.

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No. 3Development of Products Falling Prevention System in Stores Based on
Earthquake Early Warnings Notices
Masahiro Iida, Keisuke Hamazaki, Bin Abdul Ramad Muhammad Syahir
Teikyo University, Japan
E-mail : hasuda@ics.teikyo-u.ac.jp

ABSTRACTJapan has been hit by massive earthquakes such as the Great East Japan Earthquake and the Kumamoto
Earthquake. As an example of earthquake countermeasures, a system that stops the bullet train as soon as it
detects an earthquake has been developed, but earthquake countermeasures for convenience stores andsupermarkets, which are sometimes closed due to falling or scattered merchandise caused by earthquakes, are
not as advanced as those for transportation. Guards have been installed on the shelves of convenience stores andsupermarkets to prevent damage to liquor bottles on display shelves, but these guards are ineffective inpreventing product damage in a large-scale earthquake. (See Fig.1)

Guard(a) Before earthquake(b) After an earthquake occurredFig. 1 Shelve guards in convenience store
Convenience stores and supermarkets are important bases for supplying daily necessities in the event of adisaster, hence it is required to resume operations as soon as possible. Therefore, we have developed a systemthat prevents products such as bottles from falling or being damaged from the shelves which will enable thestore to be reopened quickly after an earthquake. In order to prevent bins on the shelves of convenience storesand supermarkets from being damaged by shaking and falling during an earthquake, it is necessary to enclose
the shelves and prevent bins from violently colliding with each other. Therefore, as shown in Fig. 2, a productprotection frame is automatically lowered to prevent the products at the very front of the shelf from falling
during an earthquake. Also, by stretching a net over the frame, collisions between bins are reduced.
Furthermore, before the frame is lowered, LED tape is lit to visually warn customers not to get their handscaught.

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Fig. 2 The developed system
Our system has two types of earthquake detection. One is an earthquake early warning detection system and theother is a seismic sensor using MEMS device to deal with direct earthquakes. When an earthquake is detected, asignal is immediately sent to the microcontroller, which drives the servo motor to lower the product protection
frame to prevent the product from falling. The descent is achieved by attaching a servo hand to the output shaftof the servo motor and suspending the product protection frame. (See Fig. 3)

Fig. 3 System Summary
For the control of these systems, we designed and developed a control base for drop control of the frames that
protect the products and for earthquake detection. (See Fig.4) To receive the earthquake early warning, anearthquake early warning detection IC (EEWEWS-28), FM radio module, amplifier module, and operational
amplifier are mounted. By connecting a coaxial cable or a telescopic antenna to the antenna terminal, the system
receives radio signals from the nearest FM radio broadcasting station and monitors whether an earthquake early
warning is being sent out. The seismic sensor can be connected using the sensor input port or mounted directlyon the control board, and is programmed to detect an earthquake when the seismic intensity is 5 or higher by
calculating the SI value from the acceleration. These devices are connected to a microcontroller (Atmel
ATMega328P) mounted on the board, which is capable of controlling external devices such as servo motors andLED tapes via general-purpose control terminals when an earthquake occurs or when an earthquake earlywww.ican-x.com

warning is received. The operating power supply voltage of the control unit is 5 V, which is supplied using an
AC adapter. If there is no emergency power supply in the facility where this system is used, it can be operated
even in the event of a power failure during an earthquake by connecting a mobile battery.

Fig. 4 The developed PCB board
In order to verify the effectiveness of the system we have developed, with the cooperation of FUJI LATEX Co.,
Ltd., we conducted a verification experiment by reproducing an earthquake using an earthquake generator inorder to confirm the effectiveness of the system in preventing products from falling and reducing collisions
between products using nets. In the experiment, assuming the detection of an earthquake by a seismic sensor, 15bottles of 750ml (approx. 1kg per bottle) were placed on a rack imitating a store shelf, and Koube wave of theGreat Hanshin earthquake, Miyagi wave of the 2011 earthquake off the Pacific coast of Tohoku, and Koube
wave of the Great Hanshin earthquake were used as seismic waves to confirm the fall prevention effect of thesystem. As a result of the experiment, it was confirmed that the product was protected by lowering theprotection frame by detecting the shaking with the seismic sensor in each seismic wave.

Fig. 4 Verification experiment using an earthquake generator
Finally, we hope that the system we have developed will reduce the damage caused by earthquakes atconvenience stores and supermarkets and provide the necessary supplies to as many people as possible as soon
as possible.
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No. 4
Huai Ning Kang-Lead Huaixiang Medicine to Become Rich
Minjing Chang, Ting Cheng, Sidan Chen, Can Wang, Jing Wang
Shanxi Medical University, China
E-mail : 1145875001@qq.com

ABSTRACT
Fenxi county, an old revolutionary base area, is a typical loess plateau gully area with barren land and difficult togrow cash crops. We and the local joint selection of drought - resistant double season locust new varieties
introduced fenxi for large-scale planting. Improved the local environment, and now sophosa rice has realized mass
production and started to earn profits, and successfully achieved poverty alleviation in February 2019. How to getrich and rectify the local environment has become the most important issue at present. For many years, our teamhas been dedicated to the study of the constituents of Sophorae japonica. We found that sophora japonica is richin flavonoids and has excellent prevention and treatment effect of virus infection. But the absorption rate ofmacromolecule flavonoids is low and it is difficult to achieve the prevention effect. After a lot of research andtransformation, we developed an antiviral oral liquid that can prevent respiratory virus infection of Sophorae
japonica. The product takes Shanxi medicinal tea sophora rice as raw material, adopts the new biologicalfermentation technology, compared with the traditional boiling process, enriches the effective components, andtransforms the flavonoids and other macromolecules into small molecules that can be easily absorbed. Kaempferol,
isorhamnetin and sitosterol assisted isoquercetin to enhance the efficacy, and the inhibition rate of virus was up
to 99.1%, with very low side effects. We solved the difficult problems of obtaining small molecules such as
isoquercetin, poor water solubility and low oral availability. Compared with the traditional method, the net
absorption rate of human body is increased by 30 times without breaking through the cell membrane. We use
molecular docking technology to verify, the results show that huaimi oral liquid prevention efficiency is as highas 11.9%, really achieve external resistance to virus, internal improve immunity, bring new benefits for fenxi
farmers. In the early stage, through the mode of agricultural partnership, the company combines farmers and target
customers to form a complete industrial chain, and provides employment opportunities for farmers. Downstream,
terminal sales are connected, and customer resources are accumulated through various promotion channels toincrease market influence. After the successful marketing of drugs in the later stage, the drug market will becomprehensively opened up and consumer groups will be absorbed. Through the sales of sophora rice products,
the company has helped more than 5,000 poor households, served more than 120 agricultural operators, provided
more than 2,000 jobs, and realized an average income increase of 19,600 yuan.

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No.5
The Heart of Hongmeng - Integratable Energy Harvesting Patch
Dezhi Nie , Jinghui Fan , Yongbo Hu, Jin Guo, Baohua Wang
Northwestern Polytechnical University
E-mail : dezhi@mail.nwpu.edu.cn

ABSTRACTThe Heart of Hongmeng - Integratable energy harvesting patch
A modular energy harvesting device, which can collect large amounts of widely distributed and small
densities of natural energy, has been developed by our team to alleviate the increasingly tight energy situationand to provide a green energy base for the advent of the Internet of Things.
In terms of principle, the energy generated by small disturbances can be collected by friction
nanogenerators, based on the extended Maxwell's equations; the collection of dissipative heat is based on the
pyroelectric effect; the collection of solar energy is done by photovoltaic power generation; the collection ofraindrop energy is based on the original theory and a new collection technology is developed independently.
In terms of innovation, unlike traditional power generation devices with a single power generation mode,
the natural energy harvesting patch can freely couple multiple power generation modes according to different
working environments, increasing the energy output power and achieving more efficient energy utilization.
During the research and development process, we developed various processes such as electret corona
polarization, flexible microelectronic processing and charge preservation for low energy density,interconnection between modules and product packaging. After testing, the integrated natural energy harvesting
patch has both ampere-level stable current output and open-circuit voltage output of hundreds of volts, which
can meet the energy supply needs of most micro sensors.
In terms of application, the team further proposed the concept of energy toolbox to enhance theproductiveness and practicality of the work, which can be widely used in different contexts such as IoT wirelessnodes and extreme environment energy harvesting after promotion. The energy harvesting device can also be
integrated with specific objects, such as raindrop-powered umbrellas, ocean wave energy harvesting devices,
aircraft power generation skin, etc.
The Heart of Hongmeng is committed to complementing the current traditional chemical batteries andelectromagnetic power generation to meet the needs of the times, and can be put into use to significantly reduce
the energy burden of IOT nodes and reduce the pollution caused by disposable batteries. The team is facing thefuture of IOT and Metaverse, following the trend of the times, and at the same time is contributing its power toachieve carbon neutrality.
The team is facing the future of IOT and Metaverse, contributing its power to achieve carbon neutrality.

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No.6
Sitting Time Counter
Lio Abe, Otomo Shota
Tohoku Institute of Technology, Japan
E-mail : s1811203@st.tohtech.ac.jp

ABSTRACTIn the article "Evolved to Exercise (SCIENTIFIC AMERICAN January 2019)" written by Herman Pontzer, it
is stated that
・Our closest living relatives, the great apes, have habitually low levels of physical activity yet suffer no illhealth effects from being lazy. Humans have evolved to require far higher levels of exercise to be healthy.
・New research reveals that as human anatomy and behavior shifted over the past two million years, so, too, did
physiology.
・Our physiology adapted to the intensive physical activity that hunting and gathering requires.

This is certainly true.
Human history dates back about 7 million years, and between 2 million and 10 thousand years ago, we lived
by hunting and gathering. This was followed by the agricultural revolution, but humans were still very active.
But after the industrial revolution, when life became more convenient, people began to exercise less and less.
Our anatomy and physiology have not yet adapted to this, and it makes sense that we cannot stay healthy
without exercise.
However, it is physically unrealistic, especially in terms of time, for modern people to engage in the kind ofvigorous physical activity that hunter-gatherers do every day. The article by Pontzer also states that "it is not somuch the quantity of exercise as the intensity of it that matters" and that "we can get the same benefits as huntergatherers simply by standing and working or playing".
This led us to believe that even if we don't live like hunter-gatherers, we can avoid the health problems caused
by inactivity if we continue to exercise at the "standing" level more often and spend less time sitting. As
evidence to support this, today, the World Health Organization ranks physical inactivity -sitting too much- as the
fourth biggest preventable killer globally, causing an estimated 3.2 million deaths annually. The book
“Deskbound: Standing Up to a Sitting World”, by Kelly Starrett et al, also states that "Human beings deteriorate
their health by sitting.".

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Taken together, this suggests that we are in a situation where our health is being compromised by prolonged
sitting and that we need to do something about it. However, it is difficult to do this on one's initiative, because
managing one's own sitting time is an extra task for work and study.
With this in mind, our team has created an application that makes it easy to correct the health problems
caused by prolonged sitting.

[Application features]
The application's function is to automatically measure the duration of a person's sitting time, determine
whether the person is sitting too much, and provide real-time feedback on the results via a smartphone. With thisfunction, it is possible to correct the habit of sitting in the modern world and to correct the health problems
caused by excessive sitting.
The criteria for determining over-sitting is based on the book "Deskbound: Standing Up to a Sitting World"by Kelly Starrett et al, which states that "For every 30 minutes that you are deskbound, move for at least 2
minutes".

[Production Method]
We used an accelerometer called "MPU6886" made by MEMS technology to determine the human posture.
Other devices such as the "M5StickC Plus" and the "Blynk" IoT platform were used to implement theapplication. The method of communication between the application and the smartphone is "Wi-Fi" or"Bluetooth".

[Results]
The device allows us to visualize data on sitting and standing positions and notifies us on our smartphones if we
sit for more than 30 minutes, which means that we rarely sit for long periods.

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No.7
i-HairXingting Liu, Jingsong Luo, Zhu Cheng, Yunwu Zhang, Shouxin Bai
Chengdu University of TCM
E-mail : 13198540609@163.com

ABSTRACT
According to the National Health Commission, there are about 250 million people with alopecia in China, withan average of 1 in 6 individuals. Alopecia has been an urgent problem in contemporary health and shows a trendof rejuvenation, and our germinal and developmental hair market is about 334.2 billion. Existing germinal
products have disadvantages such as low cost for money, little benefit, easy recurrence and long course oftreatment. Therefore, there is an urgent need in the market for an affordable and efficient smart hair product[project overview] to scientifically address seborrheic alopecia, telogen alopecia, and alopecia areata by
combining smart hair bearing machines with Tibetan medicine agents to break down the traditional hairregimen. The instrument internally piggyback on an autonomous R & D graphene electrothermal membrane topromote head lymph metabolism to provide energy for germinal production; Also paired with Tibetan medicine
light walnut kernel oil, increased β- Catenin protein expression, which provides nutrition to the germinal tract;
And synergistic fixation of hair combined with traditional Chinese medicine Qi Yi method prescription. The
clinical overall response rate was 98.6% as determined by a study of tri methyl hospitals including West China
Hospital of Sichuan University and Sichuan Provincial Hospital of traditional Chinese medicine. Innovativenessusing TCM body identification and acupoint sensitization technology applied to the i-hair germinal management
system to achieve smart diagnosis and compensate for the gap in the smart germinal market, and is certified by
the international SGS, FDA, the company was established this year after receiving seed wheel financing,
immediately submitting cosmeceutical features and class II medical devices and CFDA applications for filing,
and is expected to be approved by the end of the year through the green channel ( ① Technological innovation:
innovation use of light walnut kernel oil to regulate lymphatic stem cells cooperate with graphene infraredinduced acupoint effect technology to germinate and guarantee the supply of energy source and nutrition for hair
growth, new report from review of science and technology indicates: technology is the first for the world andreaches the leading level internationally ② program innovation: to prevent hair recurrence, In this product,
combined with traditional Chinese medicine Qi stimulation and tens transcutaneous pulsed electrical stimulationof hair fixation, better inhibits the synthesis and release of HPA axis related stress molecules, decreases damage
to hair follicles, improves the stress state at the site of skin injury, tonizes the liver and kidney, calms blood
deficiency drying, performs Qi while passing blood stasis, With solid hair for growth ③ functional innovation:
This product breaks down the monopoly status of low-energy laser germinators with only single therapeuticfunction on the market, and innovatively applies acupoint sensitization technology with TCM bodywww.ican-x.com

identification based on exclusive germinal technology to analyze the situation of hair follicles in real time,
providing an intelligent personalized hair scheme. Bringing more targeted intelligent diagnosis and treatment
services to patients ---- project progress ① in depth hair research for 6 years, animal experiments have been
completed and pre clinical trials with 1326 volunteers ② 23 patents have been applied / obtained both in China
and abroad, the products have completed the transformation of technical results, clusterin Ⅰ development andmarketing operation, industrial design of clusterin Ⅱ products, Being engaged in industrial batch production with
Shenzhen Shuo company and its partner plants, it is expected to be marketed early next year; ③ Have enteredinto cooperative agreements and orders with several hospitals and enterprises, and have partnered with pecan
plantations in Derong County, which covers 100 mu of cultivation area and brought 6 farmers to realize
significantly increased returns in 2019, 2021 the team received the seed wheel financing from Huayan holding
group two million and founded the company in June ④ the pecan kernel pre oil stage as an in-hospital
preparation was financed 540000 in two months ⑤ the company nurtures multiple innovative professional
talents to promote research and development in this field, leading to more than 20 employment.

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No.8
Fluorescence based rapid E. coli Detector
King Mongkut’s Institution of Technology Ladkrabang, Thailand
Thitiyo Chantharasuriyasakun, Siriyakorn Sungwol, Nicholas Piyawattanametha
E-mail : wibool@gmail.com

ABSTRACT
Water is one of the most significant problems for almost every country around the world including Thailand.
Thailand has faced this water management problem both quantities and qualities for decades. The World HealthOrganization (WHO) therefore, ought to examine the contamination in the water that impact on humanconsumption, which then consequently resulting in the health problems and diseases such as diarrhea andcholera. For the worst case, it can lead to mortality in case of having long-term consumption or consume in alarge amount. Furthermore, contaminated water can also be a source of disease widespread as well.
In order to examine the contamination of the water, enumerated in the number of E. coli is one of the World
Health Organization preferred indicator. Unfortunately, the current method to qualify the E. coli enumerationneeds the laboratory involved and takes time about 24-72 hours as the collected sample needs to incubate
overnight. Another issue is the laboratory involved examination, in addition to having long time taken for the
results, it is might not be contributive to inspect the water quality in communities far from urban or rural areas
due to the inability to move the device outside the laboratory and the need of specialized training for staff
performing the examination. Fluorescence, a well-known technique used in various laboratory experiments,
plays a crucial role in the enzymatic analysis of the microbial in the water. As the Escherichia coli analysis can
indicate the quality of the water, fluorescence detector is developed and becomes a wellestablished method
using the enzyme-substrate reaction between β -D-glucuronidase (GUD), a specific marker for Escherichia coliand 4-methylumbelliferone- β -Dglucuronide (MUG), a sensitive substrate for determining the presence of E.
coli. However, the current fluorescence detectors are bench-top machines and required to do the experiment in
the laboratory. The purpose of this project is to advance the technology for water management, fluorescencebased E. coli detector. This project will emphasize on the disadvantages of the current fluorescence detector andwill be developed based on those weaknesses. This fluorescence-based E. coli detector will be able to giveaccurate alongside with rapid results within an hour. Furthermore, with a user-friendly, this detector will be easy
and portable to use. After developing and testing the detector, this project can further development to publish forthe related institution or institution that is interested in this project to utilize it to the fullest.

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No.9
Spot
Karlsruhe Institut of Technology, Germany
Stefan Gehrlein, Ziqi ZuVincent Gottwald o, Jonas Janzen, Mehdi Khabou, Oussama Oualha,Yoki
Saito
E-mail : jonas.janzen@student.kit.com

ABSTRACT
Spot is based on a versatile, customizable lighting concept. This concept makes it possible
to respond to the needs of customized lighting.
But what is new about the idea?
Many lamp manufacturers advertise adaptable lighting, particularly simple control or a particularly chic design.
Spot implements all these features in one product and offers much more. In contrast to conventional lamps, Spot
offers intuitive gesture control, optics for bundling and increasing light intensity, and display of freely selectable
content. Spot unleashes the full potential of the workplace and/or living space through targeted lighting andinteractive projections. Spot comes with three modes: Customized large area illumination, a focused beam toselectively illuminate small areas and a freely customizable mode which displays individual content, so that theilluminated surface simultaneously takes on the function of a screen. Intuitive gesture control, which allows
switching between these modes completes the functionality of Spot.
Spot can take the function of a traditional ceiling lamp or desk lamp and enhance it with a focused beam andadaptive content. The possibilities for using Spot are numerous. The mode for displaying interactive or passive
content creates a limitlessly expandable platform. Spot has great potential to be used as a useful productivity
enhancer in the workplace, individualization of one's living space as well as an extension of limited space. The
prototype developed combines extensive functions in an elegant aluminum housing. With an app, not only can
the color temperature, brightness and illumination area on a worktable be individually adjusted, but customized
content for work and leisure can also be projected onto a table surface. The heart of Spot is an interplay of
microcomputer, camera and sensors for hand and gesture, camera and sensors for hand and gesture recognition,
as well as a DMD projector with downstream optics. The high-contrast projector not only produces a reading or
working light, but also makes many other applications possible. Examples include applications such as screen
enhancement, computer input, party light and DIY assistant.

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No.10
Middle ear infection detection system for children by a mobile phone
based on deep learning technology
Yossawadee Promwong, Thanaporn Cheunpirom
King Mongkut’s Institution of Technology Ladkrabang, Thailand
E-mail : wibool@gmail.com

ABSTRACTEar infection or otitis media is a common disease of the middle ear, which is very common in children. Most of
the causes are mild influenza infections, which lead to fluid accumulation in the middle ear. If fluid or mucus isstuck in the ear, it can cause an infection in the ear, which can cause pain and can damage the ear permanently if
it is left too long without treatment. As a result, it will slow down long-term development in children learning
due to the inability to hear sounds correctly.
The diagnosis of an ear infection is typically performed by physically examining internal ear structures with an
instrument called an otoscope. A normal and healthy eardrum has a pinkish-gray color. The healthy eardrum isclear, while an infected eardrum is bulging (swollen) and reddened. A doctor may perform tympanometry,
which measures how the eardrum responds to a change of air pressure inside the ear to check eardrum integrity.
However, one of the most common methods to test ear infection is to perform hearing tests, especially inchildren who have fluid in their ears. Currently, most assessments of middle ear fluid are costly and timeconsuming. The testing processes require additional diagnosis. As a result, most children will be sent home until
the symptoms get worse. Thus, there is an urgent need to develop a device for identifying abnormalities in the
middle ear that does not use costly equipment or attachments, can evaluate eardrum mobility, and requires
minimal expertise. This project aims to develop a smartphone-based ear infection detection with a chirp soundbased on deep learning technology that can be portable, and an easy-to-operate hearing test instrument toincrease accessibility in hearing the diagnosis. Therefore, an iPhone was chosen as a platform to miniaturize all
required features from traditional hearing test instruments into. This smartphone uses synthesized bird chirpingsound waves to detect reflections with interfering waveforms from the eardrum to compare the differences
between ear with fluid and without fluid. The sound used has the frequency and volume level in the range that
does not cause damage to the patient's ear. Then, all operations are executed on an iPhone operating system(iOS) application. Besides, for accuracy enhancement in the analysis of the results, deep learning technology
was used in the data to provide a probable prognosis.

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No.11
SmartcaseJoshua Summa, Joshua Ahrens, Nick Kempel
Saarland University, Germany
E-mail : INFO@UNI-SAARLAND.DE

ABSTRACTNew ideas within technology are used to shape our world into a better place. With smart applications anddevices we are getting support within different tasks everyday, which makes our lives more pleasant and leads
us to gain more efficiency. Our contribution is the idea of a modul, which can be implemented to various
moveable, motorized objects, enabling it to follow its user autonomous and smart.
As one of the possible use cases, we integrated such a module into a travel suitcase, thus creating the SmartCase.
SmartCase is a suitcase extended with an electronic system, which consists of different sensors in its shell, two
motors for its wheels, a camera and a microprocessor. This is allowing it to react to obstacles and possible
dangers in real time and follow a dedicated user within his path. In this case, the aim is to make traveling more
comfortable for passengers and making them more efficient. Furthermore, it can help people with physicaldisabilities to carry their baggage. When adjusted through a few changes, concerning the parts of the module,
the SmartCase-module can be used to create or combine systems, which support people in their daily lives or in
their work environment. The electrical engine and the controls work together to enable the system to follow its
user and react to obstacles in an intelligent way.

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No.12
Non-invasive glucose monitoring based on near-infrared spectroscopy
Angwara Juynoi, Thitapa Traiphornkanokrat, Nicholas Piyawattanametha
King Mongkut’s Institution of Technology Ladkrabang, Thailand
E-mail : wibool@gmail.com

ABSTRACT
For decades, the percent of a patient who got diabetes is rising every year. It means that many people have to use
blood glucose monitoring. Diabetes, or diabetes mellitus, is a disease that causes a high blood glucose level where
the normal blood glucose level is about 90-140mg/dl. Typically, the pancreas releases insulin to control the levelof blood sugar. Insulin is the critical factor in converting the form of glucose into energy. When the insulin cannot
work well, the ability to change blood sugar to energy is also inefficient, which causes a high amount of glucose
in the blood. There are three main types of diabetes which are Type 1 diabetes mellitus (T1DM), Type 2 diabetes
mellitus (T2DM), and gestation diabetes mellitus (GDM). Diabetes mellitus is also divided into two groups suchas Hyperglycemia and Hypoglycemia. Hyperglycemia is focused on a high glucose level in the blood (>150 mg/dl)
which can cause a diabetic coma. On the other hand, Hypoglycemia is concerned about the blood glucose level
falls below a certain level (< 60 mg/dl). Furthermore, this condition can lead to a severe problem which is stroke.
Therefore, the blood glucose measurement needs to be checked for diabetes patients.
In general, the blood glucose level is detected in an invasive way to measure the blood glucose level, including
using finger-prick devices, fasting plasma glucose, and HbA1C. These methods give a highly accurate output
value, but patients can be suffered from pains, and it can cause infection by using the needles to draw blood. Thus,
we introduce non-invasive blood glucose monitoring, which can diminish the pains. This research uses the nearinfrared LED in the wavelength of 940 nm and the pulse oximeter sensor which has the wavelength of 660 nm
and 880 nm for finding the relationship between the absorbance voltage and concentration of glucose (50 mg/dl
to 240mg/dl). As the block diagram shows, the near-infrared LED emit light to the glucose solution. Then thephotodetector would receive the light absorbance from the glucose solution. The notch filter is used for reducing
the signal interference. After that the voltage data of near infrared are gained. For the pulse oximeter, the pulse
oximeter is emitted the red and infrared light to the glucose solution and then the data is shown in the monitor.
After the data of the near-infrared and pulse oximeter are gained, the data was sent to MATLAB for the analysis.
Figure 2 shows the second-order polynomial curve fitting of Near-infrared sensor in the wavelength of 940 nm.

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Figure 1: The block diagram illustrates the process of blood glucose monitoring based on NIR spectroscopy.

Figure 2: The second-order polynomial curve fitting of Near-infrared sensor in the wavelength of 940 nm.

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No.13Pre-symptomatic Detection of COVID-19 System Based on Deep
Learning Technology from Smartwatch Data
Napong Thipworanick, Ratchaneekorn Saengpromma
King Mongkut’s Institution of Technology Ladkrabang, Thailand
E-mail : wibool@gmail.com

ABSTRACTAt the moment, the entire world population is battling COVID-19, a contagious disease caused by the coronavirus.
The coronavirus family is the largest virus family found in both animals and humans. The coronavirus also causesa variety of illnesses. People infected with the novel coronavirus disease 2019 (COVID-19) will experience
symptoms similar to those seen in patients with respiratory tract infections, with symptoms ranging from mild tosevere, including nasal congestion, sore throats, cough and fever. In severe cases, they may also develop
pneumonia or have difficulty breathing. Some people may die as a result of the coronavirus, but the elderly andpeople with underlying diseases such as diabetes and heart disease are at risk of severe illness if exposed.
According to the World Health Organization, the coronavirus has now mutated. WHO Coronavirus (COVID-19)
dashboard shows the number of infected people admitted to hospitals with COVID-19 is increasing, based on thecurrent situation, resulting in a shortage of medical personnel and insufficient medical equipment to meet demand.
At present, the hospitals have stored daily patient data by using a device or attaching a device to the patient's bodysuch as attaching a node to measure the patient's ECG or attaching a biosensor used to measure the patient's
temperature and send data to patient monitoring. This process requires the patient to be always bedridden or close
to the medical devices causing limited mobility or discomfort for patients. Sometimes there are patients who areout of bed or going to the bathroom, which can cause information from the patients to be inaccurate or omitted.
As a result, the researcher created a remote health care system to reduce the burden on physicians in monitoring
individual patients and to assist in resolving the issue of an insufficient number of medical devices to meet demandand problem that occur from hospital system or from patients. Moreover, the value of health care programs fordisease monitoring systems is very important. For example, the wireless body area network, the cloud computing,and the medical decision that doctors can advise patients immediately. Thus, we need the patient monitoring
system that used sensors to collect information about the patients’ vital sign data. The vital signs are the healthmetrics that are easily measured by wearable devices that can detect pre-symptomatic signs of COVID-19. Then,
we develop the application to represent the vital signs fromwww.ican-x.com

smartwatches on smartphones or tablets by coding Java and Python. The vital signs data are stored in the database,which has the deep learning technology that is able to analyze results and alert the body's abnormalities. All patient
information is sent directly to healthcare professionals. Healthcare professionals will diagnose the symptoms, findtreatment for the patients, and follow up with the patients through the application or server of the healthcare
professionals. This project has the purpose of developing a public health system to reduce the workload ofhealthcare workers is to fast-track patient vital signs and reduce the distances between COVID-19 patients andhealthcare workers. Under this research project, we want to create a remote vital signs measurement system to be
used as a prototype for further.

Photo1: Pre-symptomatic detection of covid-19 system based on deep learning technology from smartwatch data.

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No.14
Yuhuo Technology — Fully Autonomous Underwater Robots Service
Platform
Xueyi Zhang, Zixiao Jiao, Zhengyi Zhong, Changchong Sheng, Wanxia Deng
National University of Defense Technology, Dalian Maritime University, China
E-mail : zhangxy1998@163.com

ABSTRACTThe fully autonomous underwater robots service platform is a deep learning-based intelligent fishing robot
platform that targets sea urchins, scallops, and sea cucumbers. It uses the Ardusub open-source system, with
Raspberry Pi as the master control. It is composed of the ground station, the body with the main controller, andthe umbilical cable. Under this platform, the underwater robot uses image recognition technology to determine
the grasping target. Then, the ground station performs carrier communication with the flight controller throughthe umbilical cable. Finally, the preset arm movements of robots are performed to achieve autonomous graspingunder the control of the ground station.
As for the robot control problem, considering that electromagnetic waves have relatively strong attenuation
underwater, we use umbilical cables to communicate with ground stations and robots. For the robot, we use theArdusub open-source robot system, and we use QGroundControl (QGC) supported by Ardusub technology forthe ground station. Carrier communication between the ground station and the flight controller that controls robots
can not only realize the control of the robot's propeller, camera, and manipulator but also get the real-time video.
Besides, the main controller body of the robot includes 3 pairs of positive and negative propellers, 1 flight control
board, 1 power management module, 1 Raspberry Pi circuit board, 2 underwater searchlights, and 1 1080 -P
camera, and a solid buoyancy block. It is worth noting that the propeller is used to control the floating and leftright movement of the robot, and the flight control board is used to sense the state of robots. Finally, the main
controller body can collect sensor information through the flight controller, control thrusters, steering gears, etc.,
achieving control of robots.
Aiming at the design problem of the robotic arm, we made a six-degree-of-freedom robotic arm, which includes:a robotic arm frame, a metal mechanical claw, a magnetic sensing waterproof steering gear, an Arduino singlechip microcomputer, a WiFI module, and an umbilical cable. The robot arm frame is made of an aluminum alloy,
which has advantages of high hardness, corrosion resistance, and easy production. The steering gear is based on
the working principle of radium radiation. It has the characteristics of waterproof and large torque, which supports
the robot arm to work under 20M underwater. At the same time, we use the Arduino single-chip microcomputer

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to control the magnetic sensor steering gear, and finally, realize remote control of underwater operations on the
shore.
In terms of image enhancement and recognition technology, due to the complexity of the underwater environment
and the different laws of light propagation underwater, vision processing underwater is facing new problems. The
current research mainly focuses on vision processing without changing the hardware. The image undergoes superresolution reconstruction to obtain high-quality underwater images. We improve it on the basis of the GAN
network, using the improved super-resolution generative confrontation network (SRGAN) to super-resolution the
input image Refactoring. The SRGAN can pull the closely arranged pixels of the original image apart during thesuper-resolution of a single image, and use the GAN network to fill the intermediate pixels to achieve a highresolution generation of realistic textures. Enhanced SRGAN, called ESRGAN, always outperforms the mostadvanced methods in sharpness and detail.
At present, we have conducted field tests on
the underwater robot in the sea area of
Zhangzi island in China. Aiming at theautonomous sea cucumber grasping task,
compared with manual grasping, the robot
we design presents great superiority inunderwater fishing tasks. We build amathematical model to calculate the capture
efficiency in the case of robot clusters andcompare it with the data of sea cucumber
catchers. The results show that underwater
robots can capture sea cucumbers more
quickly and accurately. In addition, because
the underwater robot is designed to be apropeller rather than a crawler, it has lessdamage to the marine environment and does
not damage the original environment of theseabed; at the same time, the split structure
design will not cause harm to scallops, sea
cucumbers, and sea urchins. It can also
allow the robot to adapt to different seabedenvironments.

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No.15
Mold Prevention and Alerting
Albert Zihlmann, Fabian Gärtner, Joel Becker
Fhnw University of Applied Sciences North Western Switzerland
E-mail : daniel.richner@students.fhnw.ch

ABSTRACT
Air quality is important for human health. Mold in buildings can pollute the air with spores and can be a danger
for its residents. By the time mold is detected, health implications have often already begun. This can be especially
dangerous for people who already suffer from pre-existing conditions. Furthermore, expensive renovations areoften necessary to get rid of the mold.

To be able to prevent mold, there first needs to be an understanding why mold forms on a wall. Mold usuallyforms due to an exposure of the wall to moisture. The root cause of moisture is often a leaking roof or cracked
walls. In these cases, there is not much left to do other than expensive repairs and careful monitoring. Anotherreason is insufficient wall insulation, therefore the inside surface of the wall becomes much colder than theadjacent room temperature. Because relative air humidity is temperature dependent, it is possible for the humidity
in a room to condense on cold walls. Over time this invisible effect can rapidly accelerate mold growth. However,this can quite easily be avoided by frequently airing the room, which replaces the humid air with dry air that
dehumidifies the walls. For a safe prevention of mold growth, the relative humidity on the surface of the wallshould not exceed 80% on a permanent basis.

The scope of this project was to develop a product that detects if a certain room is at risk for mold formation bydetermining the wall humidity. The product is designed to work as an early warning system for its user and cantherefore help them take actions before mold begins to form. If used correctly, it should eliminate the risk forrenovations. To achieve this, the product consists of a custom designed sensor device and a web hosted software
solution.

The sensor device is equipped with multiple sensors that measure environmental parameters. This includes air
humidity, air temperature and wall temperature. With those parameters, the wall humidity is calculated. The
sensors are mounted on a custom-made printed circuit board. Key components on the pcb other than the sensors
are the battery controller, the STM32 microprocessor and the WiFi Module. Because of the usage of WiFi for the
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sensor connectivity, the user can connect the sensor with his already existing home WiFi network. Therefore, noadditional wireless base station is needed and thus the costs are reduced. The pcb resides in a 3d printed case,which can be easily attached to a wall with tape. The sensor is powered by a LiPo battery, which can be charged
by connecting the USB-C port with a power source.

The communication between the sensor device and the web hosted software solution is based on the MQTT
protocol. The received data is stored in a time series database. The stored data then gets analysed to detect if theenvironment is susceptible to grow mold. If this is the case, an alert is sent to the user, for example over Microsoft
Teams. The alerts as well as the raw data are presented with graphical plots in an understandable and accessible
way. Because the solution is web-based, it can be accessed from a variety of different devices. The visualizationis realized with Grafana, an open-source visualization and observability platform. As soon as a new sensor device
sends data to the web service, it is automatically shown on the dashboard.

The team consists of three electrical and information technology students who started their bachelor studies insummer 2020 and are now in their third semester at the University of Applied Sciences Northwestern Switzerland,
FHNW. Daniel Richner is project lead and develops the computer software as well as electronic hardware. Joel
Becker designs and implements the embedded software. Fabian Gärtner focuses on electronic and mechanicalhardware development as well as application engineering.

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No.16
Road Surface Condition Detection System
Yu Konno, Yohei Shibata
Ishinomaki Senshu University, Japan
E-mail : ie300022@edu.isenshu-u.ac.jp

ABSTRACTTo dear drivers all of the world, when you go to work early in the morning by car during the winter season, I
guess everybody is worried whether the roads are frozen (iced) or not, right?
Specially in the winter season, the temperature decreases below the freezing point from night to early morningand the road often freezes. In such a dangerous frozen road condition the car may slip, increasing the risk offatal accidents.
In order to avoid such traffic accidents, we have proposed a novel project called "road surface condition
detection system" mounted on a vehicle to detect a frozen road as shown in Fig. 1.

Fig.1 Frozen road detection system mounted on a vehicle using a MEMS micromirror and a laser beam. See“References” for the car picture1).

If it is known in advance that the road surface is frozen, a slip accident might be avoided by warning the driverto decelerate the car speed by a beep sound or even decreasing the speed automatically. In order to realize such asystem, we designed and fabricated a system which consists mainly of a MEMS micromirror, a laser tube, a
CMOS sensor, an Arduino microcontroller board combined with a Raspberry-Pi embedded computer. One of
the key points of this project is to give a sufficient time (4 to 5 seconds) to decelerate manually or automaticallythe vehicle speed. The distance between the vehicle and the detection area is determined by this sufficient time
and the current speed value.

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The road condition detection control is as follows. A laser beam irradiates the road and its illumination image istaken by a CMOS sensor. This procedure is continuously performed. The captured image is analyzed by a
Raspberry-Pi embedded computer to determine whether the road surface is frozen or not. The computer makes
a judgment based on the brightness of light.
By using the MEMS micromirror, which is the key device of this project, it is possible to investigate the roadsurface condition over a wide range. In this application, a two-axis MEMS micromirror (Nippon Signal Co.,
ECOSCAN) has been used.

The principle of detection is as follows. A laser beam is scanned by a MEMS micromirror on a determined areaof the road.

The laser is diffusely reflected when the road is dried as shown in Fig. 2. On the other hand, thelaser beam is specularly reflected when the road is frozen (iced) as shown in Fig. 3.
Laser

Diffuse Reflection

MEMS Micromirror

Fig. 2 Diffuse reflection of the laser beam occurs on dried road. See “References” for the MEMS micromirror
picture2).

Laser
Specular Reflection
MEMS Micromirror

Fig. 3 Specular reflection of the laser beam occurs on frozen (iced) road. See “References” for the MEMS
micromirror picture2).
Image of the laser scanned area is taken by a CMOS sensor. In case of diffuse reflection (dry surface), part ofthe light returns to the direction of the vehicle, thus a relatively high brightness image is captured by the sensor.
Whereas, in case of specular reflection (frozen, iced surface) almost no light is returned compared to that ofdiffused reflection case.
Thus, the brightness image captured by the sensor is supposed to be extremely low. However, specularreflection occurs only when some conditions are fulfilled. In order to understand these conditions, we need to
explain some optical definition terms. 1) Incident angle: angle formed between the laser beam irradiating on theroad surface and the line perpendicular (or normal) to the surface at the point of irradiation; 2) Incident plane:
the plane which contains the normal and incident irradiation; 3) Light polarization: light can be thought of as anelectromagnetic wave. The s-polarization and p-polarization are the light oscillating perpendicularly and parallelto the incident plane, respectively. Whether the detector module would be mounted around the car roof mirror orbottom of front grill, incident angles on the road surface will be around 87 degrees and 89 degrees, at speed of
30km/h and 100km/h, respectively for a sufficient warning time of 4 seconds. The reflectance of s- and pwww.ican-x.com

polarized waves have been calculated based on the Fresnel equations and plotted as shown in Fig. 4. The
reflectance starts to split at an incident angle of about 20 degrees, and s-polarized wave reflectance is muchhigher than to that of p-polarized wave in the range of 70 degrees to 90 degrees.
Thus, if only s-polarized beam is irradiated, the reflectance [%] at 30km/h and 100km/m will be around 78%
and 92%, respectively. Those values demonstrate that specular reflection can be achieved when the following
conditions are fulfilled: 1) irradiation of s-polarized wave, and 2) incident angle above 87 degrees.

Fig. 4 Graph of s- and p-polarized beam reflectance for refractive index of 1.309 (water).

Experimental results of proposed detection system are shown in Fig. 5 and Fig. 6. The micromirror has been
driven near to the resonance frequency for both axes, so that a Lissajous scanning has been performed. Fromthese results the detection principle has been verified.

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