汉字盲文转换系统的设计

针对盲文的特点讨论了汉字盲文转换系统的设计。系统根据盲文规则设计了盲文点阵的计算机字型编码形式,建立起汉字汉语拼音库和汉语拼音盲文拼音库,实现了汉字盲文转换,通过汉字自动分词,汉字盲文转换,盲文生成,得到相对应的盲文码,由此,汉字源文本被翻译为对应的盲文文本。     

基于随机森林的文本分类研究

文本分类是处理和组织大量文本数据的关键技术,它一直是信息检索领域中的一个研究热点。文本分类旨在将大量文本划分到若干子类,使得各文本子类代表不同的概念主题。文章采用了一种基于随机森林的文本分类方法。该方法来源于基于决策树的机器学习,依据文本内容的分词结果进行机器学习,将文本中信息量高的词汇提取出来作为学习维度,可以准确地对文本进行分类。由于随机森林算法Ⅲ具有高并发,快速收敛的优点,非常适合海量数据的处理。     

基于语义的KNN短文本分类算法研究

针对短文本分类关键词特征稀疏和样本数量多,难以处理的技术难点,提出一种基于语义的KNN短文本分类算法.该算法采用基于字的分词策略提取出短文本的特征词,结合中国知网对关键词进行概念映射以提高短文本的语义表达,并针对短文本特点,通过使用LSA降维处理,对KNN分类算法加以改进.实验结果表明,该算法能够有效提高短文本的分类性能.     

便携式甲烷吸收浓度红外测试仪的电路设计

介绍了一种基于红外光谱吸收原理,采用双光路瞬时比较测量方法实现对甲烷浓度测试的便携式仪器的电路设计。电路主要由探测器系统、信号放大与处理系统及数据处理与显示系统三部分组成。该仪器适合于野外高精度测量甲烷浓度。     

基于语境分析的汉语分词器在文本信息过滤系统中的应用

针对汉语分词的歧义切分问题,提出了一种基于语境分析的二元汉语分词器,通过词典匹配和二元切词的结合进行歧义消解,使用分词校正器从句子语法角度上检测分词结果的正确性.实验证明,改进的汉语分词器具有识别各种类型新词、消解各类歧义的能力;将其应用到文本信息过滤系统的文本分析模块,在强化系统语言分析能力的同时,系统的过滤精度也得到大幅度的提高.     

基于模板的图像内容检索新算法

与传统的基于文本的图像检索方法相比,基于内容的图像检索要求用户在检索图像时提供了一个模板。当用户绘制的模板轮廓有比较大的误差时,检索效率和精度会大大降低。为了解决这个问题,本文提出了一种利用模板库来结合基于文本的图像检索方法和基于内容的检索方法的系统。该系统只要求用户首先输入查询关键词,然后它将自动提取模板库中的模板以及使用提取的模板来检索用户需要的图像。此外,本文提出了一种新的算法DCCLI来进行分割聚类以提取主颜色特征,然后将提取的结果与传统的颜色布局特征提取的结果进行整合。该系统比现有的基于内容的图像检索系统更加人性化。实验结果表明,实现了DCCLI算法的图像检索系统比实现了基于内容的图像检索方法的图像检索系统拥有更高的查全率和查准率。     

互联网个人信息垂直搜索系统的设计与实现

现在的互联网具有多种功能平台,已成为人们在社会上生存的重要组成部分。中文垂直搜索作为通用搜索引擎的延伸和细分,首先要对网页的中文信息进行分词处理,把已分字段的数据定向地抽取出来,最后用特定的方式反馈给用户。文章将对现在的搜索引擎进行深度分析,通过阅读相关文献,开发个人信息垂直搜索系统。系统通过网络蜘蛛获取网页内容,将其内容保存至My SQL数据库中,用户检索时将该资源库中满足条件的链接反馈给用户。该系统主要包括管理员控制面板与用户搜索界面两部分。     

基于LabVIEW实现纺织检测系统的数据传递

介绍了基于LabVIEW实现纺织检测系统串口通信的一种方法,包括通信协议、硬件电路及软件设计等方面。该通信系统上位机的PC机程序采用LabVIEW编写其图形化编程功能,使用灵活方便;下位机选用Microchip生产的PIC系列单片机,并采用汇编语言编程。上、下位机的通信采用传统的RS-232通信协议,开发周期短,成本低。将该通信系统应用于煮茧机温度测量系统,成功实现了上、下位机的数据传递,菜单式操作,简洁明了。该通信系统在便携式纺织检测系统中有广阔的应用前景。     

基于XML文档技术的文本数字水印研究

为了有效地保护各种数字化产品的版权,防止产品被篡改、假冒和盗用,作为一种新的数字产品版权保护技术,数字水印应运而生。目前,数字水印技术的研究内容主要有图像、视频、音频和文本等,分析了当前几种常用的文本数字水印技术,设计并实现了一种基于XML的文本数字水印系统,即利用XML的标记节点和文本内容中逗号的替换完成数字水印的嵌入。通过对一篇实际文章的测试,分析并证明了该算法的可行性。     

新鲜事儿

正泰国发明可触摸墨水近日,泰国国立法政大学的研究者发明出了可触摸墨水,这些墨水加热后就会自动凸起,变成盲人能用手指感受到的盲文。这项新发明可能会改变许多盲人的命运。作为正常人,我们很难想象盲人阅读的成本。数据显示,要制作A4大小的盲文文本,一页纸的花费就高达1.1美元(约合人民币7.12元),而可触摸墨水技术能将其成     

基于移动平台的印刷网点检测技术

为实现通用便携的印刷网点检测,提出基于移动平台的印刷网点检测技术。印刷网点检测,先进行图像分割,再获取网点中心,计算网线角度等。为在基于Android操作系统的智能平台上实现印刷网点检测,采用AndroidJNI技术,该技术的核心是NDK编译,先配置NDK编译环境,再编辑C/C++源文件和mk文件,最后通过NDK编译,将C/C++编辑的图像处理程序编译为Android工程可以调用的库文件。实验验证,本系统可在运行Android系统的移动平台上实现网点图像的自动阈值分割。     

基于语料大数据的“潮”文化特征计算与分类

为解决目前对于“潮”文化的特征缺乏完整阐释的问题,文章利用文化计算方法进行潮文化的特征采集、计算与分类。利用网络爬虫技术进行基于互联网的潮文化语料大数据采集,并通过中文分词与过滤处理获得潮文化的特征词;然后通过词频统计进行特征量的计算,实现特征强度的量化,并提取了前100个特征供后续分析;接着分别采取基于词义、词频的分类,梳理出潮文化的五个特征子集,并提取了潮文化的核心,针对特征子集进行阐述和分析,展现了潮文化的内涵与形式。探讨了潮文化的特征结构,揭示了潮文化与大众时尚的辩证关系,有助于理解当下时尚文化的多样性及动态规律。     

融合BiLSTM和注意力机制的卷烟消费者评价情感分类方法

为从海量评价数据中提取消费者对卷烟产品的情感信息,利用词频、点间互信息和左右信息熵提取烟草领域的专有词汇,通过建立分词补充词典提高文本分词准确性;融合双向长短时记忆神经网络和注意力机制建立BiLSTM-Att卷烟消费者评价情感分类模型,基于2006—2021年2 066个卷烟品牌规格消费者评价数据,对BiLSTM-Att模型进行验证并与其他6种分类方法进行对比。结果表明:统一产品名称后BiLSTM-Att模型F1值提高1.78百分点;BiLSTM-Att模型在情感倾向二分类和三分类中的F1值分别为92.89%和80.12%,具有较高准确性。该方法可为卷烟产品研发、精准营销和品牌发展提供支持。      

A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part I: continuous segmentation of warp yarns

In textile and garment industries, misarranged warp yarns of yarn-dyed fabrics disorganize the layout of fabrics and lead to poor product quality. This series of studies aims to develop a computer vision-based system for automatic detection of misarranged color warp yarns in terms of high efficiency and good accuracy. Four main parts are included in this series of studies: warp yarn segmentation, fabric image stitching, warp regional segmentation, and yarn layout proofing. This paper proposes a continuous segmentation method of warp yarns to detect the misarranged color warp yarns for yarn-dyed fabrics automatically, which is the foundation of the developed computer vision-based system. The proposed framework consists of two main components: warp yarn segmentation and fabric image stitching. Firstly, the sequence images of a fabric stripe are captured using a designed offline image acquisition platform. Secondly, the warp yarns in the sequence images are segmented by a sub-image projection-based method successively. Thirdly, the sequence images are stitched by a yarn-template matching method based on their warp segmentation results. Finally, the continuous segmentation result of warp yarns is saved for the further processing of warp regional segmentation and color warp layout proofing. The proposed method has been evaluated on 720 fabric images of five fabric examples with plain and 2/2 twill, and experimental results show that the proposed method can realize the continuous segmentation of warp yarns in yarn-dyed fabrics with the yarn segmentation accuracy of 97.43% and image stitching accuracy of 99.53%.     

A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part II: warp region segmentation

This series of studies aim to develop a computer vision-based system for automatic detection of misarranged color warp yarns to replace manpower and improve efficiency. Based on the warp yarn segmentation and fabric image stitching methods presented in Part I, this paper proposes a stepwise segmentation method of warp regions, as a core of the developed computer vision-based system, to detect the layout of color yarns for yarn-dyed fabrics automatically. The proposed framework consists of two main components: rough warp region segmentation and precise warp region merging which are realized by analyzing correlation coefficient of color histograms among segmented warp yarns and warp regions successively. The proposed method has been evaluated on 543 fabric images of four fabric samples consisting of 5533 warp regions, and experimental results show that the proposed method can realize the warp region segmentation in yarn dyed fabrics with the average accuracy of 99.47%.     

Determination of Tangerine Volume Using Image Processing Methods

In this study, two image processing techniques; namely, segmentation and ellipsoid approximation, were used to estimate the volume of tangerines. The proposed system consisted of two CCD cameras, capture cards, an appropriate lighting system and a computer. The paired t-test showed the estimated volume using segmentation method was not significantly different from the volume determined by water displacement method (p > 0.05). The difference between the volumes estimated by ellipsoid approximation and water displacement method was statistically significant (P < 0.05). The Bland–Altman approach showed the size of tangerines has no effect on the accuracy of volume estimation by segmentation method.     

基于核心属性渗透理论的合成词词性标注方法

针对当前合成词词性难于确定的问题,提出了基于核心属性渗透理论的合成词词性标注算法。算法首先识别出文本中的合成词,并分析合成词的构成方式,获得合成词的构词规则,然后以核心属性渗透理论确定合成词的核心成分,将核心成分的词性标注为整个合成词的词性,并提供显式和隐式两种合成词标注方式,最后修正文本分词结果。实验结果表明,这种词性标注的方法是恰当的,在给定的文本集上合成词词性的标注准确率达到了95％。     

A modified microdiffusion assay with solid-state detection for the determination of total cyanogens (CNp) in cassava flour. Comparison to the method of O'Brien et al. (1991)

A simplified assay for quantitative determination of the total cyanogen content of cassava flour was developed. It relies on solid state detection after microdiffusion of released HCN from an acid flour extract. The reading of the solid state colour reaction was done by a microplate reader, but may also be done by means of a portable reflectometer. Positive test reactions are stable provided the reacted sheets are stored in the dark. The new method has been compared to the standard method of O'Brien et al. (Journal of the Science of Food and Agriculture, 56, 277–289, 1991), and give identical results for levels of total cyanogens higher than approx. 5 mg kg⁻¹.     

Presbyopia correction with multifocal contact lenses: Evaluation of silent reading performance using eye movements analysis

PurposeMany activities of daily living rely on reading, thus is not surprising that complaints from presbyopes originate in reading difficulties rather in visual acuity. Here, the effectiveness of presbyopia correction with multifocal contact lenses (CLs) is evaluated using an eye-fixation based method of silent reading performance.ΜethodsVisual performance of thirty presbyopic volunteers (age: 50 ± 5 yrs) was assessed monocularly and binocularly following 15 days of wear of monthly disposable CLs (AIR OPTIX™ plus HydraGlyde™, Alcon Laboratories) with: (a) single vision (SV) lenses – uncorrected for near (b) aspheric multifocal (MF) CLs. LogMAR acuity was measured with ETDRS charts. Reading performance was evaluated using standard IReST paragraphs displayed on a screen (0.4 logMAR print size at 40 cm distance). Eye movements were monitored with an infrared eyetracker (Eye-Link II, SR Research Ltd). Data analysis included computation of reading speed, fixation duration, fixations per word and percentage of regressions.ResultsAverage reading speed was 250 ± 68 and 235 ± 70 wpm, binocularly and monocularly, with SV CLs, improving statistically significantly to 280 ± 67 (p = 0.002) and 260 ± 59 wpm (p = 0.01), respectively, with MF CLs. Moreover, fixation duration, fixations per word and ex-Gaussian parameter of fixation duration, μ, showed a statistically significant improvement when reading with MF CLs, with fixation duration exhibiting the stronger correlation (r = 0.79, p < 0.001) with improvement in reading speed. The correlation between improvement in VA and reading speed was moderate (r = 0.46, p = 0.016), as was the correlation between VA and any eye fixation parameter.ConclusionAverage silent reading speed in a presbyopic population was found improved with MF compared to SV CL correction and was faster with binocular compared to monocular viewing: this was mainly due to the faster average fixation duration and the lower number of fixations. Evaluating reading performance using eye fixation analysis could offer a reliable outcome of functional vision in presbyopia correction.