Fermentative behavior of Saccharomyces strains during microvinification of raspberry juice (Rubus idaeus L.)

Sixteen different strains of Saccharomyces cerevisiae and Saccharomyces bayanus were evaluated in the production of raspberry fruit wine. Raspberry juice sugar concentrations were adjusted to 16°Brix with a sucrose solution, and batch fermentations were performed at 22 °C. Various kinetic parameters, such as the conversion factors of the substrates into ethanol (Y_p/s), biomass (Y_x/s), glycerol (Y_g/s) and acetic acid (Y_ac/s), the volumetric productivity of ethanol (Q_p), the biomass productivity (P_x), and the fermentation efficiency (E_f) were calculated. Volatile compounds (alcohols, ethyl esters, acetates of higher alcohols and volatile fatty acids) were determined by gas chromatography (GC-FID). The highest values for the E_f, Y_p/s, Y_g/s, and Y_x/s parameters were obtained when strains commonly used in the fuel ethanol industry (S. cerevisiae PE-2, BG, SA, CAT-1, and VR-1) were used to ferment raspberry juice. S. cerevisiae strain UFLA FW 15, isolated from fruit, displayed similar results. Twenty-one volatile compounds were identified in raspberry wines. The highest concentrations of total volatile compounds were found in wines produced with S. cerevisiae strains UFLA FW 15 (87,435 μg/L), CAT-1 (80,317.01 μg/L), VR-1 (67,573.99 μg/L) and S. bayanus CBS 1505 (71,660.32 μg/L). The highest concentrations of ethyl esters were 454.33 μg/L, 440.33 μg/L and 438 μg/L for S. cerevisiae strains UFLA FW 15, VR-1 and BG, respectively. Similar to concentrations of ethyl esters, the highest concentrations of acetates (1927.67 μg/L) and higher alcohols (83,996.33 μg/L) were produced in raspberry wine from S. cerevisiae UFLA FW 15. The maximum concentration of volatile fatty acids was found in raspberry wine produced by S. cerevisiae strain VR-1. We conclude that S. cerevisiae strain UFLA FW 15 fermented raspberry juice and produced a fruit wine with low concentrations of acids and high concentrations of acetates, higher alcohols and ethyl esters.     

基于改进ShuffleNetV2的轻量级花色布匹瑕疵检测

布匹瑕疵检测是纺织业质量管理的重要环节.在嵌入式设备上实现准确、快速的布匹瑕疵检测能有效降低成本,因而价值巨大.考虑到实际生产中花色布匹瑕疵具有背景复杂、数量差异大、极端长宽比和小瑕疵占比高等结构特性,提出一种基于轻量级模型的花色布匹瑕疵检测方法并将其部署在嵌入式设备Raspberry Pi 4B上.首先在一阶段目标检测网络YOLO的基础上用轻量级特征提取网络ShuffleNetV2提取花色布匹瑕疵的特征,以减少网络结构复杂度及参数量,提升检测速度;其次是检测头的解耦合,将分类与定位任务分离,以提升模型收敛速度;此外引入CIoU作为瑕疵位置回归损失函数,提高瑕疵定位准确性.实验结果表明,本文算法在Raspberry Pi 4B上可达8.6 FPS的检测速度,可满足纺织工业应用需求.     

Juxtapose of System Performance for Food Calorie Estimation Using IoT and Web-based Indagation

A rudimentary aspect of human life is the health of an individual,and most commonly the wellbeing is impacted in a colossal manner through the consumption of food. The intake of calories therefore is a crucial aspect that must be meticulously monitored. Various health gremlins can be largely circumvented when there is a substantial balance in the number of calories ingested versus the quantity of calories expended.The food calorie estimation is a popular domain of research in recent times and is...     

计量检定实验室仪表读数自动识别系统设计

针对计量检定实验室对仪表进行检定时人工检定方式效率低下,读数识别系统开发成本高的问题,设计了一套基于树莓派的计量检定实验室仪表读数自动识别系统.系统采用树莓派4B控制摄像头采集仪表读数的图片,然后采用SSDA算法定位图像读数区域,并进行字符分割,再使用BP神经网络和特征匹配算法识别分割出的字符,最后通过SSH方式将识别...     

动态联盟中的同步协同设计系统模型

利用Muiti-Agent,π-演算和Petri网给出了动态联盟中的同步协同设计系统形式化模型．该模型利用π-演算的操作语义表现系统的动态行为;根据Petri网理论表现适应动态联盟中同步协同设计的多层次、多资源、无死锁,且具有一定公平性的发言权控制．     

基于树莓派的无接触智慧电梯设计

传统的电梯产品单一，人梯交互方式亘古不变，新冠疫情肆虐以来，人们在电梯里按键时易病毒感染。而智能化、免接触的电梯可有效阻止病毒传染。选用以Linux作为核心架构的树莓派，通过人工智能、大数据、物联网等领域的运用，开发了一套“免接触式”电梯控制系统。将传统需要手动点击的物理按键替换为具备语音控制、人脸检索、语音合成、NFC近场通信，创建了多种新型的电梯控制方案。并将必要信息通过OLED进行实时显示，继而可在桌面或移动终端进行监控或指令下发。拥有网页、iOS和安卓端操作软件。测试表明，无接触智慧电梯系统功能完善、运行稳定，为社区、公共场所、医院等的民众构建起生命安全防线。     

基于树莓派和云平台的智能灌溉系统

针对目前农业灌溉用水浪费的情况,提出了一种以树莓派为主控器件、云平台为监控的智能灌溉系统.本文以农作物为灌溉对象,分析了模糊控制算法、树莓派4B、传感技术、HTTP协议、MySQL数据库和OneNET云平台等技术的特点,设计了一种能够根据环境状况自动灌溉的智能灌溉系统.系统的硬件部分能完成空气温湿度、土壤湿度的采集.软...     

智能安全驾驶监测系统设计与实现

针对当下发生的交通事故中及大部分是由于驾驶员酒后驾驶、违规驾驶或是突发身体疾病所导致的,设计出一种智能安全驾驶检测系统；系统以树莓派为和核心搭配智能手表、APP、酒精检测模块；系统可以实现监测驾驶员的酒精浓度,驾驶员的违规驾驶行为以及驾驶中的健康状况等功能,并通过移动端APP进行可视化展示；经测验,整个系统能够在驾驶途中稳定的运行,能够满足实时监测驾驶员的驾驶行为以及健康信息的需求。