Changlu Electric Cup
Midterm Review Results Announced
After careful evaluation by the judges, the midterm review results for both the lower and upper grade groups of the Changlu Electric Cup have been announced. The top six teams in the upper grade group and the top eight teams in the lower grade group will advance to the finals to compete for the final prizes!
Now, without further ado, let’s take a look at the extraordinary performances of the contestants.
Upper Grade Group
1
Corn Cannon Team (86 points)
Captain: Xie Zhixian (15 Information Security)
Members:
Chen Yikang (15 Information Security)
Jiang Fengyu (15 Information Security)
Zhao Wangxue (16 Internet of Things)
Project Introduction
Research on Scoring System Technology Based on E-commerce Review Text Mining
With the development of the internet and e-commerce platforms, modern people have become accustomed to online transactions and shopping. The modern economy is gradually transitioning from a physical economy to an internet economy, leading to an increasing number of online merchants. Therefore, it is very important to identify the quality of online products. Currently, consumers can only refer to the product parameters published by merchants, comments from users who have purchased the products, and the ratings given by e-commerce platforms.
However, wherever there is a place to comment, there are often ghostwriters involved, especially in the e-commerce field. Some merchants hire ghostwriters to inflate their ratings, misleading consumers into making purchases. As a result, consumers often end up purchasing substandard products due to the lack of a filtering mechanism for ghostwriters on e-commerce platforms, and the absence of standard scoring makes it easy to manipulate ratings. Therefore, this project aims to reconstruct a new scoring mechanism that includes a ghostwriter filtering module, using semantic analysis methods to provide a unified standard and more meaningful scores to curb the emergence of ghostwriters.
This project consists of four parts: data collection, data preprocessing, data analysis, and data result output. The data collection part uses the python+scrapy framework for cross-platform e-commerce information retrieval, while also considering mixing in public test data to increase data volume, and using MongoDB for storage. Data preprocessing is done through accurate word segmentation using jieba, text vectorization using Word2vec, and data analysis is conducted by building an LDA topic model, defining user behavior, and linear regression to integrate ghostwriter samples and suspected ghostwriter samples, excluding untrue and low-information samples. The scoring system is implemented through training an LSTM deep network and outputs the final product evaluation score in JSON format. If conditions allow, we will compare our filtering system with traditional KNN, and also compare deep network embeddings during text vectorization, aiming for the best results.
2
AO Team (83 points)
Captain: Ye Jingnan (15 Telecommunications)
Members:
He Pengfei (15 Internet of Things)
Zha Kuan (15 Internet of Things)
Mi Yuxin (15 Internet of Things)
Project Introduction
This project is an innovative research project that integrates signal collection, transmission, storage, display, and analysis. It aims to design a digital oscilloscope that can transmit multiple signals to Android devices via Bluetooth through external circuits, and achieve storage, display, and analysis functions on the Android side.
3
Super Ability Team (80points)
Captain: Wang Haoyue (15 Information Security)
Members:
Zhong Ming (15 Information Security)
Ye Xinting (15 Information Security)
Mo Yifei (15 Information Security)
Project Introduction
Research on Semi-Fragile Watermark Anti-Counterfeiting Detection System for Traffic Violation Photos
Since the reform and opening up, China’s economic and social construction has achieved rapid development. Driven by economic and social construction, the development of road traffic in China has undergone tremendous changes, with not only improved road traffic infrastructure but also continuously improving road traffic management mechanisms. Nevertheless, we can still see that traffic violations have become increasingly common in recent years, and road traffic safety issues are becoming more serious. However, with the rapid popularization of the internet and the widespread development of multimedia technology, it has become easier to forge and tamper with traffic violation photos. In this context, the application of a traffic violation photo anti-counterfeiting detection system provides important technical means and evidence for punishing traffic violations and is of great significance for the safe and stable operation of the highway system.
In response to the increasing number of forged and tampered traffic violation photos, our project team will study a traffic violation anti-counterfeiting detection system based on semi-fragile watermark technology. The research content is as follows:
1. Addressing the insufficient robustness of existing semi-fragile watermark algorithms based on image content against non-malicious attacks, as well as the lack of consideration for security, our project combines the Logistics sequence and uses an image content-based watermark extraction algorithm to embed the extracted watermark into the low-frequency sub-band coefficients of wavelet transform to compensate for the above shortcomings. Combined with a robust perceptual hash value extracted from the DC coefficients of the image as the image authentication mark, we aim to optimize the traffic violation photo anti-counterfeiting detection system.
2. Establish a blind anti-counterfeiting detection system. First, use the Logistics sequence to chaotically process the image, then determine the watermark embedding positions that are robust against non-malicious attacks and fragile against malicious attacks, and finally establish a watermark blind detection system (no need for the original image).
3. Conduct simulation experiments for system testing, and modify and optimize algorithms based on actual test results. By modifying relevant parameters, we aim to optimize the algorithm to achieve higher accuracy and efficiency.
Keywords: semi-fragile watermark, traffic violation photos, anti-counterfeiting detection
4
Zero Degree Team (78 points)
Captain: Huang Shusheng (15 Internet of Things)
Members:
Chen Haoming (15 Internet of Things)
Liang Zhicheng (15 Internet of Things)
Wang Shuyang (15 Internet of Things)
Project Introduction
Development of Unmanned Boats
The research and development of unmanned boats has become a hot topic in recent years, especially in military and marine geography fields. Many countries and regions have developed integrated intelligent unmanned boats, but they are expensive and often face certain issues, such as some unmanned boats still using second-generation mobile communication technology (GPRS), which results in low data transmission rates and efficiency, or they cannot cope with sudden adverse weather and must return to shore for safety.
In response to these issues with current unmanned boats, this project aims to develop a low-cost, intelligent, maneuverable, and highly safe unmanned boat, utilizing advanced NB-IOT technology for communication between the backend and the boat, meeting the requirements for unmanned automatic navigation, remote control, and automatic navigation of conventional unmanned boats on water. Additionally, the hull will reserve space for adding functions based on actual applications, such as detecting underwater environments, allowing for the addition of necessary cameras, sensors, and other devices, transforming general unmanned boats into specialized unmanned boats. Different functions can be added according to different actual application requirements to maximize the needs of various industries and fields.
4
999 Team (78 points)
Captain: Hong Chaoran (15 Telecommunications)
Members:
Zhang Zixuan (15 Internet of Things)
Wang Jing (15 Internet of Things)
Yao Jie (15 Internet of Things)
Project Introduction
Self-Diagnosis WeChat Mini Program for Colds Based on Traditional Chinese Medicine Theory
Faced with the rapid development of WeChat mini programs and the current difficulties in seeing a doctor in many large city hospitals, and the long waiting times, there is currently a lack of WeChat mini programs for self-diagnosis targeting patients. Therefore, this project focuses on the common and easily occurring disease of colds, utilizing fuzzy reasoning methods to develop a WeChat mini program based on traditional Chinese medicine principles. The main research contents of the project include software development for the cold WeChat mini program, establishment of a database based on traditional Chinese medicine principles, creation of a decision tree, and program debugging and launch, with the key difficulty being the establishment of a cold database based on traditional Chinese medicine principles, achieving a one-to-one correspondence between cold symptoms, cold types, prescriptions, medications, and usage methods. During the development process, we will comprehensively consider aspects such as interface aesthetics, the reliability of diagnostic results, and the diversification of treatment suggestions, meeting users’ self-diagnosis needs and providing a new tool for self-diagnosis of colds, addressing the difficulties faced by cold patients in seeing doctors in hospitals and the long waiting times, with broad application prospects.
6
Qi Tian Da Sheng Team (75.5 points)
Captain: Mo Hailang (15 Software Engineering)
Members:
Liang Zhicong (15 Software Engineering)
Yuan Hengxi (15 Software Engineering)
Wang Zhijie (15 Software Engineering)
Project Introduction
Ji Shi Information (Jinan University Trading Platform)
This platform primarily provides a display platform for Jinan University students, allowing students to provide the information they need to the platform. The platform will categorize and organize the information provided by students, and students who log into the platform can find relevant information according to their needs and communicate online with the information providers.
The information displayed on this platform mainly includes students’ needs for buying and selling books, course exchange demands, lost and found notices, and other reasonable needs, providing students with a convenient and quick information exchange platform, organizing campus information, and effectively solving the problem of information fragmentation on campus.
Our purpose is to wholeheartedly serve students and make things convenient for them. We sincerely hope that students will actively participate, help themselves, help others, maintain a good information order, and create a beautiful campus.
Above are the teams that advanced in the upper grade group. We hope they continue to work hard in the finals.
The teams that did not qualify should not be discouraged; the road is still long, and there will be many opportunities. Keep it up next time!
7. Electric Cup Third-Party Education PlatformYue Shu APP 72.5 points
8. Sharing Billboard 68.5 points
Lower Grade Group
1
We Say All Team (92 points)
Captain: Jiang Qingwei (16 Internet of Things)
Members:
Peng Chengming (16 Internet of Things)
Liu Yushan (16 Internet of Things)
Yuan Jianhua (16 Internet of Things)
Project Introduction
Soil Humidity Monitoring Device for Succulent Plant Cultivation Based on Arduino
With the arrival of the Internet of Things era, smart devices have continuously entered people’s lives, making our lives more colorful, such as smart sockets, smart lights, smart curtains, etc. When the Internet of Things meets succulent plants, it will also produce different sparks.
This project is a soil humidity detection device for succulent plants made based on the Arduino UNO R3 development board, achieving real-time monitoring of soil humidity during succulent plant cultivation, and allowing for wireless monitoring and operation, as well as smart watering.
The entire system is mainly divided into three parts: the first part is centered around Arduino, using soil humidity sensors to achieve real-time acquisition of soil relative humidity, and calculating the soil humidity data to display it through lights; the second part uses the HC-05 Bluetooth module to achieve wireless data transmission and control, allowing users to obtain data and control it through their mobile phones; the third part uses a relay and a small water pump to realize smart watering by analyzing and judging soil humidity data through Arduino.
Arduino is a convenient, flexible, and easy-to-use open-source electronic prototyping platform that includes hardware and software, allowing for simple and efficient development of experimental projects and devices. When the project is perfected, it can be replaced with a microcontroller to reduce the cost and volume of devices during mass production. Therefore, using the Arduino experimental board can shorten the development cycle, facilitate experimental debugging and changes, and reduce costs during the development phase.
2
Ban Zhang Mountain Team (90.5 points)
Captain: Lin Weizhou (16 Software Engineering)
Members:
Liang Ziquan (16 Electrical)
Zhan Hongyuan (16 Automation)
Ye Jiaying (16 Automation)
Project Introduction
Research on Bridge Foundation Scour Monitoring System Based on USV
Bridge foundation scour is one of the main causes of bridge destruction. Currently, the detection methods for bridge foundation scour are still limited to high-risk diving and imaging by operators, lacking convenient and quick unmanned detection and imaging technology. Therefore, focusing on the three-dimensional mapping of bridge foundation scour, this project aims to develop a bridge foundation scour detection system based on USV, utilizing swing line propulsion unmanned boats, single-beam depth measurement, positioning navigation path planning, and autonomous obstacle avoidance, remote control, synchronous data collection, and imaging processing technologies. The main research content of this project includes error correction algorithms, data processing algorithms, and imaging. By solving the error issues caused by the tilt of the USV while sailing on the water surface through inertial reference methods, we aim to present a three-dimensional image of the scour landforms around the bridge foundation in MATLAB, providing greater convenience for unmanned detection and early warning of bridge foundation scour.
3
Electrical Information and Automation 1213 Team (87.5 points)
Captain: Pan Xiaoyu (17 Electrical)
Members:
Li Dan (17 Electrical)
Qiu Jiayu (17 Electrical)
Xie Zhijun (17 Electrical)
Project Introduction
This project aims to develop an LR key mobile phone installation, which is to “install the L and R keys of the game controller externally to the mobile phone.” The LR key mobile phone installation will change the current situation where only two thumbs can be used to play horizontal mobile games, freeing other fingers to react and control faster during the game, providing players with a better gaming experience. Compared to traditional external game controllers, this product is smaller, cheaper, easier to carry, and has a faster response ability, making it a better alternative to external game controllers.
4
Ji Zhu IEEE Group (87 points)
Captain: Yang Chongyi (16 Telecommunications)
Members:
Chen Qixuan (16 Telecommunications)
Chen Houhua (16 Telecommunications)
Ni Yulin (16 Internet of Things)
Zhang Ruoqi (17 Internet of Things)
Project Introduction
In museums, there are often problems such as lack of guided explanations, insufficient textual descriptions due to space limitations, and visitors just passing by without gaining any meaningful insights. For art galleries, where exhibits are frequently changed, how staff can quickly remake textual explanation boards and how guides can relearn about exhibits is a massive project that requires closing the museum for a long time. Meanwhile, the lighting in museums and art galleries is often beautifully designed, making it a waste if not utilized.
This project is based on a simple visible light wireless communication system (VLC) built using the STM32 chip, applying the technology to indoor exhibition scenarios such as museums or art galleries. The LED lights serve as the only light source for the exhibits while transmitting textual introduction information about the exhibits to visitors’ receiving terminals via VLC, aiming to reduce energy consumption and enhance the visitor experience.
The system consists of a sending end and a receiving end (terminal). The sending end controls the LED lights’ on and off based on the binary encoding of the data to be sent. The receiving end’s photodetector converts the detected optical signals into electrical quantities and amplifies the weak changes in the voltage signal through amplification circuits. At the same time, the receiving end samples the signal and restores it to textual information based on ASCII codes, thereby realizing the function of converting the light’s on and off into easily understandable textual information through the visible light wireless communication system.
In simpler terms, this project utilizes visible light, coupled with photoelectric conversion technology, to achieve museum guidance. Imagine walking slowly in front of the exhibit, with the light shining on you and the exhibit, the historical experiences and value significance of the exhibit vividly displayed on the receiving terminal, without the need for a guide’s explanation, all the information presented on the receiving terminal, whether it is the poet holding wine and singing, or the elegant dance in the palace, or the grand palace in your heart, as you look at the exhibit and refer to the explanation, and with different lighting enhancing the scene. If the exhibit is changed, simply re-enter the new content online without needing to close the museum for days, how wonderful would that be!
5
Chaos Team (85.5 points)
Captain: Zhong Jiayang (16 Automation)
Members:
Wen Yufan (16 Automation)
Wu Lubin (16 Electrical)
She Jiajun (16 Automation)
Xue Guolun (16 Automation)
Project Introduction
Diseases Monitoring System Based on Electronic Nose Technology
This project introduces electronic nose technology into the medical field, designing an electronic nose system that collects, processes, analyzes, and diagnoses the gases exhaled by the human body. This system can detect different diseases by connecting different sensor arrays, offering convenience, speed, and accuracy. The system mainly consists of a sampling system, sensor array, signal preprocessing circuit, control and display circuit, preprocessing algorithm, pattern recognition algorithm, and temperature and humidity compensation algorithm. This system combines MEMS technology to achieve miniaturization, using STM32F4 as the MCU, which integrates FPU units and powerful DSP instruction sets to achieve on-chip pattern recognition, thereby designing an automatic, portable, handheld electronic nose disease monitoring device. The project results can be applied in daily health checks, disease prediction, and clinical diagnosis, featuring convenience, speed, accuracy, and non-invasiveness.
6
Five Old Wolves Team (85 points)
Captain: Chen Taibing (16 Packaging)
Members:
Liu Cheng (16 Information Security)
Yang Yunfei (16 Marketing)
Mi Yuxin (16 Financial Engineering)
Project Introduction
University Student Creative Design Valley – Work in Your Spare Time
Source of Ideas: The project proposes the concept of “skill part-time jobs.” With the increase in expenses and the desire for independence after entering university, the number of university students choosing part-time jobs is increasing. However, traditional on-site part-time jobs such as restaurant servers and tutors are primarily low-level positions, which essentially waste students’ personal time resources. This contradiction has led to the emergence of “Creative Valley.”
This website essentially connects the vast design needs in society with the part-time and training needs of university students. Students can find corresponding needs on the website based on their skills, such as PS, articles, programming, copywriting, video production, etc., and earn income while honing their professional skills and understanding the actual requirements of society for those skills, thereby alleviating the financial burden on their families.
Similarly, enterprises and individuals in society may not have their own independent design departments and cannot afford high design fees, but they can also find students through this website to meet their needs at relatively lower market prices.
Goals: The innovation of this project lies not only in connecting needs but also in creating a gamified part-time interface, where students can control characters in a gaming community to earn money by taking orders, enhancing their design skill levels, viewing others’ works in relevant skill communities, checking leaderboards, signing up for related courses, striving to gain students’ reliance on this gaming aspect, and ultimately developing into a comprehensive one-stop area based on part-time skills.
7
Code Ya Team (82 points)
Captain: Lan Yao (16 Software Engineering)
Members:
Chen Canjie (16 Software Engineering)
Chen Junying (16 Software Engineering)
Lin Shuhai (16 Software Engineering)
Project Introduction
This project, named “Ji Dian Tong,” is a WeChat public account designed and created by the Code Ya team (including front-end website and back-end interface and database implementation).
The initial intention of this project is to provide convenience for students in the Zhuhai campus to recharge their dormitory electricity fees, to avoid the inconvenience of running out of electricity after the dormitory access control and being unable to recharge in real-time. To solve this problem, we created a WeChat public account specifically for students on the Zhuhai campus to handle dormitory electricity-related business through the internet, greatly facilitating students’ lives.
This project provides online electricity fee recharge services to students on the Zhuhai campus in the form of a public account. Using the data interface provided by the school’s property management, it accesses student dormitory electricity fee data and campus card data. Students can submit their electricity recharge information through this public account using WeChat Pay or online campus card payment, which is then processed by the public account backend to modify the database, thus realizing the function of real-time electricity fee payment online.
8
Zhi He Team (83 points)
Captain: Zeng Mai (17 Automation)
Members:
Luo Yiwei (17 Automation)
Chen Zhuojian (17 Packaging)
Liang Xinxin (17 Software Engineering)
Project Introduction
Development of Unmanned Boats
This project involves the development of a basic unmanned boat (USV) designed with a modular concept, capable of basic navigation, serving as a carrier for intelligent robots, high-definition underwater cameras, lighting systems, and underwater microscopes, engaged in various important scientific research projects such as water quality sampling, image processing, underwater non-uniform square, and observation of underwater microorganisms.
Above are the teams that advanced in the lower grade group. We hope they continue to work hard in the finals.
The teams that did not qualify should not be discouraged; the road is still long, and there will be many opportunities. Keep it up next time!
9. Software Engineering Not Soft Team 81 points
10. Ge Wu Zhi Zhi Team 80.5 points
11. V DOING Team 79.5 points
11. Soy Milk and Fried Dough Team 79.5 points
11. Small Boat Team 79.5 points
14. GLGJSSY Team 79 points
15. Auto Clever Team 78.5 points
16. Wu Ding Kai Shan Team 76.5 points
17. Strongest on Earth Team 76 points
17. Ji Zhu Feng Yun Team 76 points
19. AAA Team 75 points
20. Worship Cat Dead Team 74.5 points
21. Buddhist and Confucian Dual Cultivation Team 74 points
22. G3 Team 72.5 points
23. Wu Ji Team 71.5 points
24. Lin Bin Kuang Yu Team 70.5 points
25. IE is Not a Browser Team 70 points
The teams that advanced to the finals will enter the final defense stage. The winning teams will receive generous rewards.
1 Popularity Award: 1000 yuan
Lower Grade Group:
1 First Prize: 2000 yuan
2 Second Prizes: 1000 yuan each
3 Third Prizes: 800 yuan each
Upper Grade Group:
1 First Prize: 4000 yuan
1 Second Prize: 2000 yuan
1 Third Prize: 1000 yuan
It must be said that our electric college indeed has talents, strong technical skills, innovative abilities, and they are also great at naming. I really love it here!
Having a catchy team name may not win the Electric Cup, but without a cool explosive team name, one absolutely cannot become a master!
Perhaps, compared to the participants in the Electric Cup, I not only lack technology and innovation but also the creativity in naming…
ps: I apologize for the errors in the information of the Five Old Wolves Team and the Code Ya Team in yesterday’s announcement. The content has been corrected in today’s post.
Editor: Difficult
Logo: Tong Nihan
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