Concurrent Parallel Sessions I&Ⅱ 13:30-17:00

Innovation Award

Chair

Roanld Schnabel
President of VDE Germany

Committee

Xiao Ma

Claesen Luc

Professor at Nottingham Business School

Hasselt University

Kentaro Totsu

Yi-Kuen Lee

Lerwen Liu

Tohoku University

Hong Kong University of
Science and Technology

Nanyang Technological University

FlexiStep
Dominik Materne, Alexander Woelk, Yushen Zhang

Abstract
Back pain is a prevalent issue in our modern society, affecting a significant portion of the population.
According to a study conducted by the Robert Koch Institute and published in the Journal of Health Monitoring in March 2021, 61% of respondents reported experiencing back pain in the past 12 months, and this trend
is on the rise. The impact of such pain on a person's everyday life and overall quality of life can be considerable, depending on the intensity of the symptoms.
While poor posture can be addressed with relative ease using insoles for shoes, recognizing and correcting
misalignment typically only occurs once issues with the back and neck areas have already arisen. In an effort
to proactively address this challenge, we have dedicated ourselves to developing a sole that monitors footload and provides users with active, real-time feedback to prevent misalignment and incorrect footing.
It's essential to note that walking improperly can also contribute to weight gain, particularly in the legs,
further reinforcing incorrect gait patterns. By addressing this unresolved problem, we aim to bring added
value to humanity through our project, with the aspiration to revolutionize the healthcare market with ourinnovative idea.

RS Color Technology
Duan Lv, Bo Wang, Ziqi Chen, Jingyi Li, Hanqin Chen

Abstract
Intelligent color blind glasses include both software and hardware ends. On the software side, the "color
chess" method is used to detect and collect visual information of the color defect. Users can adjust andestablish personalized visual databases, which are transmitted to the hardware through Bluetooth. The
hardware side obtains the image through a camera, uses deep learning to achieve YOLO object detection in
Raspberry Pi, performs semantic segmentation on ROI areas to achieve contouring, and performs real-timecolor light compensation. The results are displayed at the corresponding positions on the microLCD. Using
the principle of augmented reality + head up display, the prism projects corrected colored light into user's
eyes. Then users can achieve color discrimination.

Biography
The RS Color Science and Technology Innovation Team, hailing from the University of Science and Technology Beijing in China, was established in June 2023. The team comprises ten members, with five core
members, all sophomore students. The team members study at the Schools of Automation, MechanicalEngineering, Economics and Management, Mathematics and Physics, and Metallurgy, each adept in distinct
fields. All members have a clearly defined role and perform their duties diligently.

Non-invasive Diabetes Detection by
DIY Raman Spectrometer
Wibool Piyawattanametha
Abstract
Our team has evolved from utilizing a laser diode-based DIY Raman spectrometer to integrating a fiber laser
with our custom-built spectrometer. This pivotal enhancement has significantly improved our system's
resolution and sensitivity, thereby boosting Raman scattering efficiency. Our system employs a fiber laser
known for its exceptional beam quality and stability. When combined with our in-house spectrometer, itoffers a cost-effective yet high-performing solution. Our advanced system design focuses on accurately
detecting and analyzing glucose using Surface-Enhanced Raman Spectroscopy (SERS), which amplifies thesignal of the glucose solution. In our experimental setup, glucose powder was used as the primary substrate.
The spectrometer captured data, which was then processed using MATLAB software to create graphicalrepresentations. Our system's enhanced capabilities are evidenced in the data processing methods
employed. This technique effectively isolates the glucose signal by eliminating background noise andintrinsic fluorescence, thus sharpening the characteristic peaks for enhanced identification and quantification. Figure 3b further elucidates the glucose signal post-baseline correction, highlighting the improved
clarity and definition of the spectral features vital for precise glucose detection.
Led by Assoc. Prof. Wibool Piyawattanametha, Parawee Tangkiatphaibun, Pasin Kuncharin, Nicholas
Piyawattanametha, and Aaron Piyawattanametha, our team demonstrates that integrating sophisticatedoptical components with intelligent system design can achieve high-quality Raman spectroscopy for
non-invasive glucose monitoring using a homemade spectrometer. This innovation holds the potential totransform diabetes care, making it more accessible and manageable for patients globally.

CardioQuest VR - The Heart Health
Immersive Experience
Yang Li, Wenxin Lyu, Jiaying Chen, Simin Yang, Jingkun Lu, Lifan Luo
Abstract
CardioQuest VR represents a transformative project developed by a multidisciplinary team with a clear
mission: to revolutionize the understanding and communication of heart health. By integrating virtual reality(VR) technology with cutting-edge sensor and soft actuator technologies, CardioQuest VR offers an
immersive and interactive experience that vividly translates complex heart health data into tangible,
experiential knowledge for both patients and healthcare professionals.

Biography
CardioQuest VR is a dynamic team of experts from diverse fields, united by a shared vision to enhance lives
through the innovative fusion of virtual reality and haptic interaction. Our multidisciplinary approachcombines the latest advancements in biomedical engineering, computer science, user experience design,and medical research to create groundbreaking solutions for heart health education and diagnostics.

Zirconium Pioneers In The Field of
High-strength And Corrosion-Resistant Alloy
Dongrun Sun
Abstract
China is faceing significant corrosion issues, causing an annual economic loss of 1.6 trillion yuan. thezirconium industry in China is challenged by technological limitations, performance issues, and cost
concerns. To improve these issues, our team has dedicated six years to the field of zirconium alloys,
establishing a comprehensive database for high-strength, corrosion-resistant zirconium alloys. This
database, the only one in China, has been utilized by five national key laboratories, including the State Key
Laboratory for Metastable Materials Science and Technology and the National Key Laboratory of Petroleum.
Through synergistic strengthening and in-situ regeneration techniques, we have developed new
high-strength, corrosion-resistant zirconium alloy products.Additionally, we have designed proprietary
preparation equipment, enhancing the efficiency and quality of our products. Our products have passed
inspections by several institutions, including RoHS 1.0, CNAS laboratories, and national key laboratories,
achieving an international leading level. They are suitable for use in aerospace, biomedical, and new
infrastructure sectors. Our team members have published 8 patents and 14 high-level SCI journal articles,
establishing a comprehensive technical barrier. Moreover, we founded Zirconium Innovation Materials Co.,
Ltd., utilizing blockchain technology and a cloud ERP system to establish six major systems covering
technical support, production management, quality management, talent management, environmental
protection, and intellectual property protection. We provide zirconium alloy materials and technical service
support to enterprises. Our company has successfully collaborated with multiple enterprises, including
CNPC, CNOOC, and China Steel Group, signing sales contracts worth 5 million yuan and R&D contracts worth
4 million yuan, supporting the national initiative to substitute imported zirconium alloys with domestic
alternatives.

Biography
Team leader Wu Xinyu is a graduate student of Hebei University of Technology. Inspired by his own researchexperience in zirconium alloy and the national corrosion problem, he convened undergraduate and doctoral
students in materials, physics, biomedical, economic management, graphic design, and other majors tocreate a Z.I.M team, dedicated to improving the corrosion problem of oil pipelines.

Phox

Ibuki Oono, Takahiro Sato, Ryo Kitta

Abstract
Phox is a device installed on a mailbox. The device has a camera to take photos inside a mailbox and amagnetic switch to detect the status of the mailbox door, whether it's open or closed. The main function ofthis device is to send mailbox status to users, operating in the following sequence:
1.The device is turned on by detecting the mailbox door opening.
2.After detecting the mailbox door closed, the device takes a photo inside the mailbox.
3.The device then sends the image to AWS (Amazon Web Service) via API.
4.Afterreceiving the image, AWS functions to recognize what is in the image.
AWS then sends an email to users. The email sent to users contains: the photo inside the mailbox, the resultof image recognition, and the battery voltage. Image recognition is achieved by a Python library called"Sci-Kit Learn." As a machine learning model, XGBoost is used, with recognition accuracy of more than 95%
under the circumstance of a fully enclosed mailbox.

DEEP BLUE GUARDIAN
Fenghe Liu,Jiahua Zhu

Abstract
The device uses fluid sound source, which is clean and zero-emission, with large radiation surface
and high low-frequency energy conversion efficiency, and has the characteristics of innovation, energy
saving, emission reduction, actual combat and multi-dimension. The device has the characteristics of being
used in many fields. The primary application of the device is the underwater detector, which detects thetarget by generating sound waves with specific characteristics; After improving the directivity of its soundwaves, it forms high directivity sound waves, which can be developed into marine infrasound sonar. In thefield of higher education, this device can be used in college physics experiment teaching to realize thevisualization of sound waves, which is convenient for students to understand the principle of sound wave
generation and the influence of different rotating speeds and swinging angles on audio frequency, soundintensity and sound pressure. It can be applied t the detection of marine biota and marine scientificresearch, and is of great significance to marine fluid mechanics and marine seismic wave theory.This
device is mainly used to detect seabed sediments and stratum structure, seabed topography, seawater flow,
seawater temperature and velocity inhomogeneity, various objects in seawater such as fish, deep-sea
scattering layer, icebergs and sunken ships, waves on the sea surface and underwater internal waves, etc.,
and can be used to predict natural disasters such as typhoons and tsunamis. Secondly, it can be applied
to the teaching classroom of college physics experiments.

SolemSense
Uwe Benkarth, Maren Kirste, Nicolas Brugger

Abstract
The VDE COSIMA competition, short for "Competition of Students in Microsystems Applications," challenges
student teams to develop innovative uses for sensors and microsystems. For this purpose, SolemSense
designed and realized an energy self-sufficient soil probe that measures the temperature gradient and watercontent in the soil, as well as the light intensity at the surface. The probe operates autonomously poweredby a combination of solar panel and battery, thus requiring no power cable and no maintenance for battery
replacement. The collected data are transmitted every 10 minutes to a base station via the LoRa radio
standard. The application range for this energy self-sufficient sensor system is very broad, extending fromprivate gardens to greenhouses and farmlands, as well as to parks and environmental monitoring systems.

Biography
The student team SolemSense from Albert-Ludwigs-University Freiburg, consisting of members Nicolas
Brugger, Maren Kirste, and Uwe Benkarth under the supervision of Professor Peter Woias, was able toachieve second place at this year's COSIMA competition during the MicroSystemTechnik Congress 2023 in
Dresden.

A Multi-Function Protective Device forElectrically Controlled Frequency Selection andFiltering for Electromagnetic Anti-Interference
Wenxuan Zhang, Yiting Meng, Chenyao Zhao, Jiahao Qiu, Hao Lv
Abstract
During aerospace flights and ocean voyages, communication between aircraft, vessels, and land is prone tointerference due to various factors such as natural electromagnetic interference and man-madeelectromagnetic wave interference, which often leads to communication distortion. This project provides amulti-function protective device for electrically controlled frequency selection and filtering for electromagnetic anti-interference At the same time, the application of a multi-layer composite structure enables theradome to possess mechanical protection, high-temperature resistance, anti-algae and anti-moldproperties, super-hydrophobicity, and corrosion resistance, providing comprehensive protection forcommunication.

Biography
We are the Ceramic Matrix Composite Research Team of Harbin Institute of Technology (Weihai), which isbuilt upon a professional key laboratory. We are dedicated to researching graphene-based novel composite
wave-absorbing materials, aiming to ensure the safety of aerospace communication reception and flightusing these new materials. We contribute Chinese wisdom to solving global challenges.

Breaking barriers and connecting the soul-Realtime BrailleTranslation Aids Based on Partial
Convolutional Fusion
Kailai Wang, Junhao Zhong, Zixuan Huang, Zilin Wang, Li Huang
Abstract
This project provides an exceptional learning experience for visually impaired individuals, featuring highbraille recognition accuracy, fast recognition speed, precise translation capabilities, a userfriendly interface,and low hardware requirements. By integrating point-reading and advanced text recognition technology, theproject addresses the scarcity of braille materials and assistive tools and alleviates the shortage of brailleteachers. It has received three utility model patents, with one invention patent pending. Rigorous testing by
the China Electronics Standardization Institute confirmed a braille recognition accuracy of 99.79%,areal-time recognition speed of less than 1.33 seconds per page, and a translation accuracy of 99.81%. The
project is supported by the China University Innovation Fund Program and the "Climbing" Program, withpartnerships established for practical application and market promotion. After two years of trials andfeedback, the project team has continuously optimized and upgraded the product, now in its second
generation, meeting the needs of the visually impaired community and educators. The Guangdong Provincial
Association for the Blind and the China Braille Library have highly praised the project. As an efficient andconvenient assistive device, it enhances learning efficiency and improves work efficiency in public service
settings. The team will continue to refine functions, enhance portability, and develop new features, promoting employment and social inclusion for the visually impaired

Biography
Our team consists of three core groups, dedicated to developing innovative solutions for the visually
impaired community. Led by Kailai Wang, the first group focuses on braille recognition and calibration, as
well as natural language processing, utilizing the OpenCV tech stack. Junhao Zhong heads the second
group, specializing in product technical adaptation, PCB hardware circuits, 3D model design, and exterior
design. The third group, led by Zilin Wang, is responsible for general recognition testing based on
cloud-based large models. The groups collaborate closely, united by a commitment to improving the qualityof life for the visually impaired.

A platform for deriving new insights from data

Dickson Odhiambo Owuor
Abstract
I have developed a strong interest in conducting research focused on developing Computer Science
approaches, such as unsupervised/supervised learning, graph theory, and chaos theory, among others, foranalyzing data across various domains. In my experience, these approaches not only work efficiently but
also provide a platform for deriving new insights from data. Therefore, I find it not only sufficient to publish
papers about these approaches but also fulfilling to implement them using various programming languages
and make them accessible to other researchers. Driven by an innovative and entrepreneurial spirit, I havedeveloped and currently maintain the Python library so4gp.
One of my aspirations is to pursue a career as an academic professor specializing in chaos theory and its
applications across various disciplines. I have discussed this goal with Prof. Nick Kotov, and together, we are
actively applying chaos theory to analyze microscopic images of nanoparticles. Microscopic images ofnanoparticles may appear chaotic and complex at first glance, yet they reveal a multitude of self-replicating
patterns that give rise to fractal structures. In deterministic chaos, such fractals can be associated strange
attractors that are not random at all.

Biography
Dickson Owuor is a Computer Science researcher at Strathmore University, exploring and developing
optimization techniques for data mining algorithms. He is also a lecturer with 5+ years of experienceteaching courses in both undergraduate and postgraduate levels. He has supervised 30+ BSc projects, 2
MSc theses and, he is co-supervising 3 Ph.D. theses. He is in charge of forging industry and academic
partnerships (local and international) at the school of computing and engineering sciences (SCES) in
Strathmore University.

StraightUp

Jan Bartenbach, Marcus Hamann-Schroer, Erik Vautrin, Dario Mager

Abstract
We are developing a novel intelligent wearable targeting long-term posture improvement. Accurate
detection of upper body posture is key to its effectiveness, which we achieve by utilising the anatomical
relationship between shoulder position and overall posture. For measuring the shoulder position andmovement we use a novel sensor system made from shape memory alloys, optimised for reliability, costeffectiveness and seamless integration into textiles. This enables comfortable all-day wear. Our AI-poweredalgorithms accurately detect unhealthy postures and recognise common daily activities to provide
reminders only when necessary for back health. Given the significant economic burden of back problems,such as 38 million doctor visits and 96.8 million sick days with an annual cost of €45.2 billion in Germany
alone, our solution has significant market potential. We aim for widespread adoption, targeting private
individuals, physiotherapists, and companies for occupational healthcare, while seeking collaboration withhealth insurance companies for cost-effective distribution.

Huiyuan Technology

Jie Jiang, Xinhongyu Chen

Abstract
Monoclonal antibody drugs have been widely used to treat rheumatic immune diseases and various cancers
and tumors, but the high price is an economic burden for many people. The reason for its high price lies in
the preparation of monoclonal antibodies, which cell fusion is a crucial step in determining the quality andefficiency, and it is the very low rate of cell fusion that leads to the high cost. The core competency of our
project is to propose a new method of micro-nano-composite bipolar cell fusion and designed an equipment,
resulting in a 113% wider range of applicability of cell sizes, up to a 3-fold increase in the efficiency of cellfusion, and a 77% increase in the effective yield of fusion. Our equipment has been applied in Chongqing
Academy of Animal Husbandry and Zhongrong Chuangling Pharmaceutical Company, which has shown good
performance in the application process. We believe our project will continue to lead the way in cell fusion
technology.

Biography
Huiyuan Technology, found in 2021 , is the pioneer of micro-nano-composite bipolar cell fusion instrument,
which specialize in improving cell fusion rate and efficiency. Our team is composed of 12 students from
Chongqing University majoring in electrical engineering, mechanical engineering, business administrationand other majors, and we continuously move forward to explore the unknown, insist on innovation, and findeach other's value. Our mission is make the price of monoclonal antibody drugs less expensive by increasing
the cell fusion rate, and bring hope to more people.

Smart Vanguard - 5G Firefighting Smart Helmet
Kaiyuan Yao, Chen Xu, Bokai Zeng, Zihuang Su

Abstract
Smart Vanguard - 5G Firefighting Smart Helmet is an intelligent firefighting helmet based on 5G technology,
whose main features include real-time monitoring, video communication, intelligent navigation, emergency
rescue and lightweight comfort. The helmet has multiple built-in sensors that can monitor the firefighter's
body status, ambient temperature, oxygen concentration and other data in real time and upload the data to
the cloud. At the same time, the helmet built-in high-definition camera and microphone, firefighters can havereal-time video communication with the command center or other firefighters through the helmet, forcontact and collaboration. In addition, the helmet is equipped with a GPS positioning system and map
navigation function, which can help firefighters quickly and accurately find the fire scene. The design of thehelmet is to ensure firefighters' comfort and flexibility with lightweight materials, comfortable liner andadjustable headband. Our project vision is to provide smarter and hi-tech support for fire rescue workthrough the development and sales of intelligent fire helmets, improve the efficiency and safety of firefighters, and reduce the incidence of fire accidents. We believe that with the promotion of 5G technology, thisintelligent fire helmet will become a new favorite in the future fire equipment market.

Kaiyuan Yao

Chen Xu

Zihuang Su

Bokai Zeng