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2,813 results on '"Tan, Ping"'

6. Observation of phonon Stark effect

Author

Huang, Zhiheng, Bai, Yunfei, Zhao, Yanchong, Liu, Le, Zhao, Xuan, Wu, Jiangbin, Watanabe, Kenji, Taniguchi, Takashi, Yang, Wei, Shi, Dongxia, Xu, Yang, Zhang, Tiantian, Zhang, Qingming, Tan, Ping-Heng, Sun, Zhipei, Meng, Sheng, Wang, Yaxian, Du, Luojun, and Zhang, Guangyu

Published
2024
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30. SMART GROW – Low-cost automated hydroponic system for urban farming

Author

Kenny Kueh Yung Shin, Tan Ping Ping, Maybelline Goh Boon Ling, Chong Chee Jiun, and Noor Alamshah B. Bolhassan

Subjects
Smart hydroponics, Android mobile application, ESP32, Urban agriculture, Science (General), Q1-390
Abstract

Urban farming has gained popularity in recent years, as more people have become interested in locally grown food and reducing their carbon footprint. Smart hydroponic systems can be an important tool for urban farming as they allow for precise control over plant growth and require less space and resources than traditional farming methods. Urban areas often lack access to land suitable for farming, making hydroponic systems a viable option for growing crops in limited space. Readily available hydroponic systems in the market are costly and not cost effective, thus hydroponic systems are usually only installed in larger scale farming. The challenge here is to connect multiple low-cost sensors to microcontrollers and to any store-bought hydroponic set. This paper describes the development of smart Internet of Things (IoT) hydroponic system integrated with an Android mobile application for small scale urban farming.The new set up of IoT hydroponic set, coined as SMART GROW, is used to monitor and control various aspects of the system based on the basic parameters important in growing a healthy plant. The challenges faced during this build were irregular reading of the analog sensor when connected to a single board microcontroller (ESP32). This issue was resolved. SMART GROW currently is capable of monitoring basic parameters such as pH, EC and water level and can cater to additional sensors for monitoring other parameters if required. SMART GROW can easily be replicated and built at home and customized to the needs of the plant’s requirement. SMART GROW is versatile as it can be used to grow a wide variety of plants, including herbs, vegetables, and fruits, and offers several benefits over traditional soil-based growing methods such as automated regulation of the water level.

Published
2024
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31. Fault Detection and Failure Rate Analysis of New Energy Vehicles Based on Decision Tree Algorithm

Author

Tan Ping and Gong Lanlan

Subjects
fault detection, decision tree algorithm, c4.5 algorithm, computational efficiency, 65y04, Mathematics, QA1-939
Abstract

New energy vehicles are vital in promoting environmental protection and technological innovation. Fault detection still faces challenges during its operation, and efficient and accurate methods for fault diagnosis are urgently needed. This paper proposes a fault detection and analysis model based on a decision tree algorithm for the fault detection problem of new energy vehicles. The dataset applicable to the model is prepared by preprocessing in-vehicle network data, including data cleaning, integration, and other steps. Fault prediction can be realized after using C4.5 algorithms to construct a decision tree. With a precision of 82.26% on the test set, this model is highly accurate in fault detection, which is 1.23 percentage points higher than the traditional decision tree algorithm. The model’s effectiveness and efficiency in handling large-scale data were demonstrated by its training and testing on training sets of different sizes. Using the traditional algorithm, a training set of 80,000 data was used to reduce the model’s running time from 274,432 seconds to 249,269 seconds. This study provides a practical methodology for fault diagnosis of new energy vehicles, improving fault detection accuracy while optimizing computational efficiency. Real-time monitoring and timely maintenance of new energy vehicles require this.

Published
2024
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