汉语自动分词系统的评价

汉语自动分词是中文信息处理中最基本的工作。近年来，已有多种自动分词软件问世，但尚无评价此类软件的标准、模型和方法。本文针对自动分词软件的特点，提出了自动分词软件的评价准则，并给出了定性和定量的度量方法。     

用静压控制法实现小颗粒固体粉尘的料位检测控制

分析了SZ-25型散装饥的料位计容易被损坏和检测失准的原因．引出采用自行设计的静压式料位检测装置，并对该装置进行设计的理论依据分析．叙述该装置的工作原理，运行参数设置方法及其各部分设备的必要性．并对改造前后进行对比，最后对该装置的使用推广范围进行简述．     

利用层次分析法的标度进行功能评价分析

分析了价值工程指分析法中权重计算的不足之处，然后引入层次分析法的标度进行了功能指数中的权重计算，最后利用案例进行了分析计算。     

A report on the use of action research to evaluate a manufacturing information systems development methodology in a company

Abstract. The paper reports on an action research study that evaluated the usefulness of a Manufacturing Information Systems (MIS) development methodology at a manufacturing technology company. The evaluation process is based upon a five-stage action research method. The ISD methodology, in conjunction with the action research method, was used to solve five technical and organizational problems identified in the Engineering Release Function of the company. Results of the study include reduction in cycle time, work-in-process and rework.     

陶瓷材料的力学性能评价新方法

论述了结构陶瓷材料的非破坏性测试和力学性能评价新技术的系列新技术。包括材料表面局部强度的非破坏性测试，位移敏感压痕技术和痕迹预测。这些新方法可以对服役中的陶瓷材料和部件进行在线测试和可靠性预测，为脆性陶瓷的工程应用和安全检测提供了一种简易的评价手段。     

Development of a subacute ruminal acidosis risk score and its prediction using milk mid-infrared spectra in early-lactation cows

A routine monitoring for subacute ruminal acidosis (SARA) on the individual level could support the minimization of economic losses and the ensuring of animal welfare in dairy cows. The objectives of this study were (1) to develop a SARA risk score (SRS) by combining information from different data acquisition systems to generate an integrative indicator trait, (2) the investigation of associations of the SRS with feed analysis data, blood characteristics, performance data, and milk composition, including the fatty acid (FA) profile, (3) the development of a milk mid-infrared (MIR) spectra-based prediction equation for this novel reference trait SRS, and (4) its application to an external data set consisting of MIR data of test day records to investigate the association between the MIR-based predictions of the SRS and the milk FA profile. The primary data set, which was used for the objectives (1) to (3), consisted of data collected from 10 commercial farms with a total of 100 Holstein cows in early lactation. The data comprised barn climate parameters, pH and temperature logging from intrareticular measurement boluses, as well as jaw movement and locomotion behavior recordings of noseband-sensor halters and pedometers. Further sampling and data collection included feed samples, blood samples, milk performance, and milk samples, whereof the latter were used to get the milk MIR spectra and to estimate the main milk components, the milk FA profile, and the lactoferrin content. Because all measurements were characterized by different temporal resolutions, the data preparation consisted of an aggregation into values on a daily basis and merging it into one data set. For the development of the SRS, a total of 7 traits were selected, which were derived from measurements of pH and temperature in the reticulum, chewing behavior, and milk yield. After adjustment for fixed effects and standardization, these 7 traits were combined into the SRS using a linear combination and directional weights based on current knowledge derived from literature studies. The secondary data set was used for objective (4) and consisted of test day records of the entire herds, including performance data, milk MIR spectra and MIR-predicted FA. At farm level, it could be shown that diets with higher proportions of concentrated feed resulted in both lower daily mean pH and higher SRS values. On the individual level, an increased SRS could be associated with a modified FA profile (e.g., lower levels of short- and medium-chain FA, higher levels of C17:0, odd- and branched-chain FA). Furthermore, a milk MIR-based partial least squares regression model with a moderate predictability was established for the SRS. This work provides the basis for the development of routine SARA monitoring and demonstrates the high potential of milk composition-based assessment of the health status of lactating cows.     

基于深度学习的文本到图像生成方法综述

文本到图像生成方法采用自然语言与图像集特征的映射方式,根据自然语言描述生成相应图像,利用语言属性智能地实现视觉图像的通用性表达.基于卷积神经网络的深度学习技术是当前文本到图像生成的主流方法,为系统地了解该领域的研究现状和发展趋势,按照模型构建及技术实现形式的不同,将已有的技术方法分为直接图像法、分层体系结构法、注意力机...     

大型引水管线施工控制网精度指标的推算与大地网的应用

介绍长距离大口径管线施工控制测量中解决问题的方法。     

雷达网可靠性指标分析

雷达网的可靠性决定其预警控制能力对作战和战备需求的满足度,对雷达网可靠性的指标进行了初步的研究,列出了其基本指标,有助于定量地分析雷达网的可靠性。     

猪肉新鲜度指示标签的制备及应用

基于猪肉在腐败过程中产生的挥发性含氮化合物会使包装中气体酸碱性发生变化的原理,以甲基纤维素和聚乙二醇-6000为基材,添加溴甲酚紫、溴百里酚蓝等酸碱指示剂,最终制得6 种方便、无损的新鲜度指示标签。将标签置于不同质量浓度的NH3环境中,6 种标签的颜色均发生显著变化,且随NH3质量浓度的增加而差异变化明显;将标签应用于生鲜猪肉贮存中,通过测定4 ℃条件下不同贮存时间猪肉各项腐败指标以及指示标签的颜色变化,探究其用于监测生鲜猪肉新鲜度的可行性。结果表明：初始pH值为4.24的溴甲酚紫指示标签可较好地区分出猪肉的3 个新鲜度等级;利用此标签的颜色测定数据建立偏最小二乘模型,对挥发性盐基氮含量和菌落总数进行预测的回归系数（R2）均大于0.92,通过标签颜色变化可以判断猪肉新鲜度。