To address the issues in the cultural and creative market such as a lack of user-friendly design platforms, products not meeting expectations, extended production cycles, and high entry barriers, this study leveraged ...
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the conventional intelligent integration system of online course resources for mechanical engineering majors mainly uses HDFS (Hadoop Distributed File System) distributed architecture to process resource integration s...
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Information engineering strategies play a significant and transformative role in shaping the landscape of digital agriculture. It drives innovation and efficiency in modern farming practices, with a specific focus on ...
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ISBN:
(纸本)9798350304084
Information engineering strategies play a significant and transformative role in shaping the landscape of digital agriculture. It drives innovation and efficiency in modern farming practices, with a specific focus on enhancing the value of agricultural commodities, such as sugarcane. the application of mobile technology plays a crucial part in achieving increased sugarcane productivity. Mobile applications, equipped with advanced developer features, offer rapid and user-friendly access to vital information. Traditional methods of estimating sugarcane production relied on manual data recording on paper, followed by data transfer to computer systems, typically managed by sugar factory junior plant officers. this conventional approach presents several inherent weaknesses, including time and effort intensiveness during data recording and entry. Additionally, the potential for errors in calculation and data input is a concern. the storage capacity for paper-based documents is finite, and farmers are often unable to autonomously assess their production potential. the objective of this research is to confront these obstacles by creating a sugarcane production application for Android. this application functions as an information engineering approach focused on forecasting sugarcane yields for plantation owners and their assistants. the development procedure adhered to the systematic waterfall method, following the principles of the Software Development Life Cycle (SDLC) model. Data collection was carried out through observations, while interviews with junior plant officers provided valuable insights into sugarcane estimation techniques. Analysis involved the synthesis of observational and interview data to inform the design of the application's interface and algorithmic system. the resulting application significantly simplifies the process of estimating production potential for farmers, enabling them to access sugarcane productivity data during harvest. Consequently, sugar
this study conducts a comparative analysis of four large language models-GPT—4o, Gemini 1.5 Flash, Claude 3.5 Sonnet, and LLama3—70B-in their ability to translate Moroccan Darija into English. By calc...
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A metasurface-loaded low-scattering strut has been proposed to reduce the radiation side lobe levels (SLLs) of front-fed reflector antennas. the H-shaped metasurface unit cells help to reduce the radar cross section (...
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this paper presents the design of a UPS (Uninterruptible Power Supply) power monitoring system based on the STM32 microcontroller, aimed at achieving real-time monitoring of UPS power status and precise analysis of pe...
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the interaction between a large freely floating articulated structure and regular waves is investigated by model tests based on the computer vision target tracking approach. the detailed description of the experimenta...
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this paper describes our design of multihop multiRAT routing protocol based on the traditional DYMO (Dynamic MANET On Demand) routing protocol. Since the tradition routing protocols including DYMO only support singleR...
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Satcom on the Move (SOTM) antennas are the primary devices for establishing satellite communication in both military and commercial applications. the main design parameters of the SOTM antennas are low cost, low weigh...
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Recently, the Transformer-based models have achieved leading results in many research areas such as natural language processing and computer vision. However, since Transformer-based models have a huge computational co...
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