Software Engineering and Applications

Journal Information
ISSN / EISSN : 2325-2286 / 2325-2278
Published by: Hans Publishers (10.12677)
Total articles ≅ 379
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王 鑫
Software Engineering and Applications, Volume 10, pp 70-80; https://doi.org/10.12677/sea.2021.102010

Abstract:
本文以开源的APM飞控板的硬件原理、固件原理为基础,模块化搭建和研究飞行控制系统。文章对四旋翼无人机飞行控制系统的架构进行分析,硬件部分,采用模块化单元设计,替换更改部分元器件和接口,主要由32位的STM32F4处理器芯片,替换APM的Mega2560、Mega32u2的8位双处理器芯片,替换部分传感器,删除或添加了部分外部接口;软件部分,底层的驱动库源码程序,采用父子类的形式编写源码,实现源码的模块化,方便后期的软件升级和维护。该系统方案具实用性高、后期开发方便、经济性好等优点。 Based on the hardware principle and firmware principle of the open source APM flight control board, this paper constructs and studies the flight control system in a modular manner. The article analyzes the architecture of the quad-rotor UAV control system. The hardware part adopts modular unit design and replaces and changes some components. The 32-bit STM32F4 processor chip is mainly used to replace the 8-bit dual processing of APM’s Mega2560 and Mega32u2. The chip is replaced with some sensors, and some external interfaces have been deleted or added; the software part, the underlying driver library source code file, uses the parent-child class to write the source code, realizes the modularization of the source code, and facilitates later software upgrades and maintenance. The system scheme has the advantages of high reliability and high cost performance.
袁 建
Software Engineering and Applications, Volume 10, pp 51-59; https://doi.org/10.12677/sea.2021.102008

Abstract:
为了满足用户日益增长的感性需求,提升产品的满意度,本研究基于在线评论数据进行用户感性需求的挖掘研究。首先,以产品在线评论为数据源,通过网络爬虫获取评论数据中的感性需求;然后,通过关键词提取算法和聚类算法采集在线评论中具有代表性的用户感性需求;最后,基于感性工学技术对用户感性需求进一步展开分析,进而推测出符合用户需求的产品特征。将本文所提的用户感性需求挖掘研究方法应用在智能手表的感性需求挖掘中,验证了该方法的可行性。文章所提的研究方法能够快速从在线评论数据中挖掘到用户真实的感性需求,为感性工学中感性数据库的构建提供全新的信息输入渠道。同时,也为其他传统工业产品的设计提供思路的借鉴和参考。 In order to meet the increasing kansei needs of users and improve product satisfaction, this re-search is based on online review data to conduct research on user kansei needs. First, use online product reviews as the data source to obtain kansei needs in the review data through web crawlers; then, collect representative kansei needs of users in online reviews through keyword extraction algorithms and clustering algorithms, which are represented by adjectives; finally, based on the kansei engineering technology, further analyze the user’s kansei needs, and then infer the product characteristics that meet the user’s needs. The user kansei demand mining research method proposed in this paper is applied to the kansei demand mining of smart watches, and the feasibility of this method is verified. The research method proposed in the article can quickly mine the real kansei needs of users from online comment data, and provide a new information input channel for the construction of perceptual database in kansei engineering. At the same time, it also provides reference for the design of other traditional industrial products.
儒叶 忠
Software Engineering and Applications, Volume 10, pp 60-69; https://doi.org/10.12677/sea.2021.102009

Abstract:
设计与实现了一个人体健康智能监测系统,该系统包括数据采集模块、单片机主控模块、显示模块、传输模块和监测终端。利用STM32单片机驱动ADS1292心电传感器、LMT70温度传感器以及MPU-6050运动处理传感器测量人体健康数据,并通过ESP8266Wi-Fi芯片将采集数据发送到OneNet服务器,采用HTTP协议实现PC端和移动终端对数据采集设备的管理及查看健康信息的功能。经系统测试发现,心率、体温和运动步数的平均测量误差分别为0、±0.09℃和±0.6米,整个系统可实时的将数据显示在本地TFT液晶屏、手机APP和PC端。系统可靠性高,能够满足个体家庭和管理机构对特殊群体健康监测的需求,为物联网系统开发与应用提供参考。 A human health intelligent monitoring system includes data acquisition module, MCU module, dis-play module, transmission module and monitoring terminal was designed and implemented. The health data of human were acquired by STM32 MCU, ADS1292 ECG sensor, LMT70 temperature sensor and MPU-6050 motion processing sensor, after the data were sent to OneNet server through ESP8266Wi-Fi chip, the health data from different equipment were displayed on the PC and mobile terminals by the HTTP protocol. The result showed that the average measurement errors of heart rate, body temperature and exercise steps were 0, ±0.09˚C and ±0.6 meters, and the data could be displayed on the local TFT LCD screen, mobile phone APP and PC in real time. The system has high reliability and can meet the needs of special group health monitoring system for individual families and management institutions, and provide reference for the development and application of IoT system.
纯周 雪
Software Engineering and Applications, Volume 10, pp 122-137; https://doi.org/10.12677/sea.2021.102015

Abstract:
为增强幼儿教育的可行性,方便父母对孩子早教,增加孩子的学习兴趣,本项目使用Java开发语言,开发设计出一款基于Uni-APP + Spring Boot + Mybatis的微信小程序。本项目从听说读写四个方面和贴合幼儿兴趣的界面风格来完成这些目标。在读、写两个功能模块分别对接了讯飞开放平台的语音评测接口和文字识别接口。系统分为前端和后端,总体分为个人中心模块、课程学习模块和每日课程模块。通过使用这些技术和框架,实现了一款微信小程序,这款小程序有效地增强了幼儿在学习时的兴趣,能让孩子从最基础的字母学起,可教会孩子掌握英文字母的图片认知以及正确读音,养成规范读写的良好习惯,辅助家长对孩子进行教育。In order to enhance the feasibility of early childhood education, facilitate parents’ early childhood education, and increase children’s interest in learning, this project uses Java development language to develop and design a WeChat small program based on Uni APP + spring boot + Mybatis. This WeChat Mini program is designed to achieve these goals from four aspects of listening, speaking, reading and writing, and the interface style is suitable for children’s interest. This paper completed a set of WeChat Mini program design and implementation for children’s initial learning of English letters. The system mainly uses Java development language, the front-end uses Uni-APP framework, the back-end uses Spring Boot and Mybatis framework of persistence layer, and the two functional modules of reading and writing connect the voice evaluation interface and text recognition interface of IFLYTEK open platform respectively. The system is divided into front-end and back-end, including personal center module, course learning module and daily course module. Through the use of these technologies and frameworks, a WeChat applet is implemented, which effectively enhances children’s interest in learning, and the WeChat applet uses buttons to simplify the operation, only according to the prompts.
帆沈 宇
Software Engineering and Applications, Volume 10, pp 206-212; https://doi.org/10.12677/sea.2021.102024

Abstract:
随着电子商务技术的不断发展与应用,物资的利用率却并未随之相应提高,因此带来的是大量价值的浪费与闲置。根据创建节约型社会的需要,如何有效提高物资的回收与流转尤为重要。而在传统的电子商务技术的物资回收流转中,如何解决因信息不对称带来的信任缺失问题非常困难。本文研究在小型区域的物资回收流转过程中如何通过区块链技术提高物资流转的多方信任程度从而提高物资回收流转概率和减少价值浪费,创新地使用零知识证明技术保证价值流转过程中地隐私。并且,本文在典型的小型特征区域进行基于区块链技术的高可信度物资回收流转系统的设计、实现与应用。结果表明,区块链技术在小型区域价值流转系统中构建了新的基于算法的信任机制体系,减少信息不对称带来的信任缺失问题,有效提高价值流转效率。 With the continuous development and application of e-commerce technology, the utilization rate of materials has not been correspondingly increased, so a large amount of value is wasted and idle. According to the needs of creating a conservation-minded society, how to effectively improve the recycling and circulation of materials is particularly important. However, in the material recycling and circulation of traditional e-commerce technology, it is very difficult to solve the problem of lack of trust caused by information asymmetry. This paper studies how to use blockchain technology to improve the multi-party trust of material circulation in the process of material recovery and circulation in small areas, thereby increasing the probability of material recovery and circulation and reducing value waste, innovatively use zero-knowledge proof technology to ensure wealth in the process of value transfer. In addition, this article designs, implements and applies a high-relia- bility material recovery and circulation system based on blockchain technology in a typical small characteristic area. The results show that blockchain technology builds a new algorithm-based trust mechanism system in a small regional value transfer system, reduces the lack of trust caused by information asymmetry, and effectively improves the efficiency of value transfer.
霆黄 业
Software Engineering and Applications, Volume 10, pp 372-381; https://doi.org/10.12677/sea.2021.103042

Abstract:
蚕桑产业作为浙江海宁的传统优势产业,曾是农民收入的主要来源,推动海宁蚕桑丝绸业的快速发展。随着农业产业结构的不断调整以及二、三产业的快速发展,蚕桑产业面临萎缩、减产等问题。海宁市蚕桑生产以小规模经营为主,缺乏科学化、系统化的蚕桑管理,导致蚕农在生产决策和产品销售上效率较低。本文设计了基于Vue前端框架、Flutter前端框架、SpringBoot后端框架的蚕桑信息化监测管理系统,实时监测蚕房的温湿度环境,统一管理蚕桑生产资料采购、蚕桑生产、产品销售等流程,提高蚕桑产品质量,增强蚕桑产业的管理效能。 Sericulture industry, as a traditional advantageous industry in Haining, Zhejiang Province, used to be the main source of farmers’ income, which promoted the rapid development of sericulture and silk industry in Haining. With the continuous adjustment of agricultural industrial structure and the rapid development of secondary and tertiary industries, sericulture industry is facing problems such as shrinking and reducing production. Sericulture production in Haining is mainly small-scale management, lack of scientific and systematic sericulture management, resulting in low efficiency of sericulture farmers in production decisions and product sales. In this paper, a sericulture information monitoring and management system based on Vue front-end framework, Flutter front-end framework and SpringBoot back-end framework was designed to monitor the temperature and humidity environment of the silkworm house in real time, and to uniformly manage the processes of sericulture production materials procurement, sericulture production and product sales, so as to improve the quality of sericulture products and enhance the management efficiency of the sericulture industry.
怡庄 晨
Software Engineering and Applications, Volume 10, pp 365-371; https://doi.org/10.12677/sea.2021.103041

Abstract:
随着“工业4.0”“智能制造”等概念规划的提出以及大数据、人工智能等高新技术的普及,工业领域制造行业呈现高度信息化、自动化趋势,生产过程和生产模式逐步智能化、一体化。传统生产模式下通过实际生产过程获得的数据进行指标测量并制定决策的方式已经不再能够满足当下制造企业对多单元复杂生产系统的管控需要,因此,面向制造企业全生命周期的数字孪生成为制造企业转型升级的新突破点、成为智能制造领域的新兴研究热点。本文通过与传统仿真技术进行横向对比,系统分析基于大数据、人工智能、虚拟现实等的数字孪生技术内涵以及其与传统仿真技术存在的关联和异同,重点分析面向制造企业全生命周期、针对制造企业多单元复杂生产系统智能运行和维护的数字孪生的优势和具体应用方式,阐述数字孪生对实现制造企业全生命周期管理的可行性,并展望其未来的发展趋势和方向。 With the introduction of concept planning such as Industry 4.0 and Intelligent Manufacturing, at the same time, the popularization of high and new technologies such as big data and artificial intelligence, the manufacturing industry in the industrial field presents a high degree of informatization and automation trend; the production process and production mode are gradually intelligent and integrated. Under the traditional production mode, the index measurement and decision making method based on the data obtained from the actual production process can no longer meet the current manufacturing enterprises’ control needs for the multi-unit complex production system; therefore, digital twinning oriented to the whole life cycle of manufacturing enterprises has become a new breakthrough point for the transformation and upgrading of manufacturing enterprises and an emerging research hotspot in the field of intelligent manufacturing. This paper makes a horizontal comparison with the traditional simulation technology, systematically analyzes the connotation of digital twin technology based on big data, artificial intelligence and virtual reality, as well as its correlation, similarities and differences with traditional simulation technology. The analysis focuses on the whole life cycle of manufacturing enterprises, aims at the advantages and specific application of digital twin for intelligent operation and maintenance of complex multi-unit production system, expounds the feasibility of digital twinning to realize the whole life cycle management of manufacturing enterprises, and looks forward to its future development trend and direction.
田 蕴
Software Engineering and Applications, Volume 10, pp 427-432; https://doi.org/10.12677/sea.2021.103047

Abstract:
物联网与医疗的结合不仅在功能上实现创新,很好的提升了经济效益,在医疗资源配置上也进行合理优化,达到最大限度的使用。本文阐述了物联网在医疗领域中的发展优势和存在的问题,重点分析了医疗物联网在物流运输系统、远程医疗、耗材管理模式中的应用情况,以推动医疗公共卫生行业的持续性发展。 The combination of the Internet of Things and medical care not only realizes innovation in function, improves economic benefits, but also optimizes the allocation of medical resources to maximize the use. This paper expounds the development advantages and existing problems of the Internet of Things in the medical field, and focuses on the analysis of the application of the Internet of Things in the logistics and transportation system, telemedicine, and consumables management mode, so as to promote the sustainable development of the medical and public health industry.
镇徐 文
Software Engineering and Applications, Volume 10, pp 329-336; https://doi.org/10.12677/sea.2021.103037

Abstract:
针对目前果蔬存储时间与安全问题,希望通过研究实现新鲜果蔬识别与系统时间记录,本文运用了Python语言、Flask框架、深度学习、爬虫、Xception算法等相关技术对系统的总体架构以及功能模块进行设计,实现了食物识别、腐败提醒等主要功能。通过实际测试后,系统运行稳定,能较好地减少因食用腐败食品而导致疾病的问题。 Aiming at the current problems of fruit and vegetable storage time and safety, we hope to achieve fresh fruit and vegetable identification and system time recording through research. The paper uses Python language, Flask framework, deep learning, crawlers, Xception algorithm and other related technologies to design the overall architecture of the system as well as functional modules, and realize the main functions such as food identification and spoilage reminder. After the actual test, the system runs stably and can better reduce the problem of diseases caused by eating spoiled food.
王 飞
Software Engineering and Applications, Volume 10, pp 467-479; https://doi.org/10.12677/sea.2021.104052

Abstract:
近年来,随着神经网络在语音识别领域应用中的快速发展,深度学习被应用到声纹识别领域,取得了很好的效果。本文先是介绍了声纹识别的基本理论,说明了语音信号预处理和特征识别的一般方法,而后又介绍了一种基于LSTM神经网络的端对端声纹识别算法,从理论上说明了这种算法的优越性。通过这种算法构建的说话人声纹识别模型,大大节省了模型训练的时间,训练效果较好。 In recent years, with the rapid development of neural networks in the field of speech recognition applications, deep learning has been applied to the field of voiceprint recognition with good results. In this paper, we first introduce the basic theory of voiceprint recognition and illustrate the general methods of speech signal preprocessing and feature recognition, and then we introduce an end-to-end voiceprint recognition algorithm based on LSTM Neural Network to illustrate the theo-retical superiority of this algorithm. The speaker vocal pattern recognition model constructed by this algorithm greatly saves the time of model training and the training effect is better.
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