Development of a Quality Index Method to Evaluate Freshness in Mediterranean Hake (Merluccius merluccius)

A Quality Index Method for the sensory assessment of freshness of Mediterranean hake was developed and validated by sensory, chemical, and microbiological parameters. The Quality Index was the ratio between the overall sensory score obtained and the total achievable sensory score of the scheme and ranging 0 (fresh) to 1 (spoiled). This index increased significantly along the time of ice storage, allowing prediction of the remaining shelf life of hake. A value of 0.60 to 0.65 was estimated by statistical treatment as the rejection value, being concordant with sensory score of cooked hake, trimethylamine content, pH, as well as with legal regulations for mesophylic and enterobacteria counts.     

Retrieving wheat Green Area Index during the growing season from optical time series measurements based on neural network radiative transfer inversion

Technological advances have opened the possibility to have Earth observation imagery combining both high spatial resolution with high revisit frequency. The monitoring of land surface processes will greatly benefit from this type of data if biophysical variables such as Leaf Area Index (LAI) can be retrieved from it. However, the large amounts of data that will become available call for methods satisfying constraint of (i) portability across different landscapes, (ii) independence from field measurements and (iii) computational efficiency. Currently, the most suitable technique to approach this objective is neural network inversion of radiative transfer. This paper quantifies the performance of such approach for a specific crop (winter wheat) all along the growing season. By re-defining the retrieved biophysical variable as Green Area Index (GAI) and correcting the typical saturation effect that affects the estimation of higher values, this study shows that physically-based retrieval can yield similar results to those obtained by empirical methods such as stepwise linear regression (with an relative RMSE of 24.7% and 22.8% respectively). The research further shows how a trained neural network for a specific sensor can produce a GAI map from imagery acquired from different viewing conditions without a significant loss in accuracy.     

渐开线细分分度方法的研究

介绍了渐开线细分分度盘方法的研究。提出了一种渐开线细分分度测量方法。阐述了位移连续码的编码理论及算法。并讨论了这种方法用于分度盘的测量精度（±1”）及实例。     

Index preparation and processing

Index preparation is a tedious and time-consuming task. This paper indicates how the indexing process can be automated in a way that is largely independent of a specific typesetting system and independent of the format being used. Fundamental issues related to this process are identified and analysed. Specifically, we develop a framework for placing index commands in the document. In addition, the design of a general-purpose index processor that transforms a raw index into an alphabetized version is described. The resulting system has proved very useful and effective in producing indexes for several books, technical reports and manuals. A comparison of our system with indexing facilities available from a variety of other document preparation environments is given.     

Remotely Sensed Retrieving the Surface Soil Moisture of Yan’an Urban Forest based on Landsat Image and Trapezoid Method

It is crucial for soil moisture assessment to know the prediction accuracy of inversion model. Urban forest surface soil in a gully-loess region (Yan’an), was taken as the research object, and the three scenes of Landsat satellite remotely sensed imagery in different periods and soil moisture sensor in situ measurement data were used as the data source. The parameters of TOTRAM (Thermal-Optical TRApezoid Model) and OPTRAM (OPtical TRApezoid Model) were obtained through the scatter diagram of pixels in two-dimensional spaces (LST-NDVI and STR-NDVI, LSTis land surface temperature,NDVIis normalized vegetation index, and STR is shortwave infrared conversion reflection coefficient) and their fitting dry edge and wet edge, respectively. Then, the w values (soil moisture in percentage) of Yan’an urban forest were retrieved at the pixel level (30 m by 30 m), the accuracy of the two models was verified, the differences between the estimated results of the two models, and the influence of linear and nonlinear edge on the inversion results were compared. The results indicate that: (1) Except that the dry edge and wet edge of OPTRAM models on Landsat 7 and Landsat 8 were non-linear, the other dry and wet edges of pixels in LST-NDVI space and STR-NDVI space are almost linear and enveloped into a trapezoid shape. (2) Compared with the field measurement data, the mean error (ME) of TOTRAM and OPTRAM were 0.009 and 0.045 5, respectively, which indicating that the estimation results of both models were relatively high, but the root mean square error (RMSE) of the OPTRAM model was closer to zero than the TOTRAM model. The value of w estimated by the OPTRAM model is evenly distributed on both sides of the 1∶1 reference line, and the number of points on the reference line is more than that of the TOTRAM model in scatterplots, indicating that the accuracy of OPTRAM is higher than that of the TOTRAM model, moreover, the inversion precision of nonlinear edge is higher than that of linear edge. Thus, in further research, the relationship between the complexity of the dry edge and wet edge and the model’s accuracy improvement should be discussed in the OPTRAM model, and the influences of surrounding environment, rainfall, forest disturbance and NDVI saturation on the estimation accuracy of the two models need to be considered.     

炼焦工序成焦率的探讨

成焦率是炼焦工序一个较为重要的技术经济指标，其稳定性和受控水平是炼焦生产企业综合管理水平的反映。根据近年梅钢炼焦生产实绩，分析了炼焦工序成焦率变化的主要原因，介绍了理论成焦率的计算及校核方法，并对成焦率指标的管理提出了若干改进意见。     

多媒体数据库的关键技术:特征的提取与索引

该文的中心议题是多媒体对象特征的提取与索引,其中,在特征的提取方面概述了当前科学界在这个领域取得的成果;在特征的索引方面,结合已有的多维索引结构树,给出了一个适合MMDBMS的数据结构MIX-TREE。     

在多齿分度台上用三位置比较法检定多面棱体的研究

应用数据统计分析方法对在多齿分度台上用三位置比较法及排列互比法了多面棱体工作角偏差进行了比较，运用谐波分析法分析了多齿分度台的分度误差，找到了在一般情况下用三位置比较法检定了多面棱体接近排列比法的结果的理论依据，提出了用多位置比较法检测圆分度器件或仪器的分度误差，提高了工作效率。     

浆纱质量检测技术的新进展

分析了国外浆纱检测的新指标，并在此基础上分析了国内目前浆纱检测指标的缺点，介绍了几种基于浆纱检测新指标的测试方法与仪器，对耐磨性能检测、浆纱毛羽检测、毛羽缠结倾向检测等技术进行了研究。     

评价熔窑内玻璃液澄清过程的定量指标

评价熔窑内玻璃液澄清过程的定量指标胡桅林，赵国昌，过增元（清华大学工程力学系１０００８４）张灵生，王家垠，马志斌（陕西彩色显象管总厂）ＱｕａｎｔｉｔａｔｉｖｅＥｖａｌｕａｔｉｏｎｆｏｒＲｅｆｉｎｉｎｇＰｒｏｃｅｓｓｏｆＧｌａｓｓＭｅｌｔｉｎＴａｎｋＦ...