Unsupervised classification of Space Acceleration Measurement System (SAMS) data using ART2-A

The Space Acceleration Measurement System (SAMS) has been developed by NASA to monitor the microgravity acceleration environment aboard the space shuttle. The amount of data collected by a SAMS unit during a shuttle mission is in the several gigabytes range. Adaptive Resonance Theory 2-A (ART2-A), an unsupervised neural network, has been used to cluster these data and to develop cause and effect relationships among disturbances and the acceleration environment. Using input patterns formed on the basis of power spectral densities (psd), data collected from two missions, STS-050 and STS-057, have been clustered.     

Unsupervised and supervised classification of AE data collected during fatigue test on CMC at high temperature

This paper aims at giving a better understanding of damage mechanisms that control lifetime of C_f/SiC composites at high temperatures (700-1200 °C) under static and cyclic fatigue. Acoustic emission (AE) signals were analysed with a view to identify classes corresponding to a specific damage mode. An unsupervised classification method allowed differentiating signals resulting from the following damage mechanisms: collective or individual fibre breaks, matrix cracking, fibre/matrix debonding, yarn/yarn debonding and sliding at fibre/matrix interfaces or matrix cracks closing after unloading. Then, a supervised classification method was developed. It allows real-time identification of damage mechanisms regardless of testing conditions (temperature, applied load and loading mode).     

激光自动跟踪空间坐标测量系统的发展（一）

介绍了近十年来国外在激光跟踪空间坐标动态测量方面的研究成果，它集多种现代先进技术于一体，目前多应用于机器人领域，但应用的前景非常广阔，代表了计量学新的发展方向。下面将介绍球坐标法，三角法，多边法等多种测量方法，讨论单站，多站（双站、三站和四站）的测量原理及系统结构，还分析了各系统可能或已经达到到的精度及优缺点。     

Assessing sustainability of Islamic countries via data envelopment analysis (DEA)

Clean Technologies and Environmental Policy - Given international regulations, countries try to improve their sustainability. The objective of this paper is to assess the sustainability of Islamic...     

Using data continualization and expansion to improve small data set learning accuracy for early flexible manufacturing system (FMS) scheduling

Knowledge derived from limited data gathered in the early manufacturing stages is usually too fragile for a flexible manufacturing system (FMS). Unfortunately, production decisions have to be made quickly in a competitive environment. In a previous study, a strategy using continuous data and domain external expansion methods under a known data domain range was proposed to solve the so-called small data set learning problem in FMS. The present paper goes further in seeking a quantitative method to determine the range of domain external expansion under unknown domain bounds. The research considers the data bias phenomenon that often occurs in small data sets and provides a method for its adjustment. Beyond this, the study also compares the learning results among three types of membership functions (Bell, Trapezoid, Triangular) for data fuzzification. The results show that the proposed approach can advance the learning accuracy of a broad range of applications.     

基于分步式双重调控n型(PbTe)1-x-y(PbS)x(Sb2Se3)y体系的热电传输特性

PbTe在中温区热电材料中广受关注, 然而, n型PbTe因其较低的载流子浓度和复杂的能带结构, 其热电性能难以大幅提升。本研究通过分步式添加PbS、Sb₂Se₃组元以调控n型PbTe基体的热、电传输性能。研究发现, PbS与Sb₂Se₃组元可分别提升功率因子和降低热导率。通过扩大带隙、增加点缺陷、第二相弥散等途径可改善能带, 加剧散射, 从而有效提升热电优值ZT。其中(PbTe)_0.94(PbS)_0.05(Sb₂Se₃)_0.01表现出最佳的热电性能, 700 K时ZT最大值为1.7, 且ZT平均值较PbTe基体显著提高, 这表明分步式双组元调控可为改善其它材料体系的热电性能提供技术途径。     

The state-of-the-art on Intellectual Property Analytics (IPA): A literature review on artificial intelligence,machine learning and deep learning methods for analysing intellectual property (IP) data

Big data is increasingly available in all areas of manufacturing and operations, which presents an opportunity for better decision making and discovery of the next generation of innovative technologies. Recently, there have been substantial developments in the field of patent analytics, which describes the science of analysing large amounts of patent information to discover trends. We define Intellectual Property Analytics (IPA) as the data science of analysing large amount of IP information, to discover relationships, trends and patterns for decision making. In this paper, we contribute to the ongoing discussion on the use of intellectual property analytics methods, i.e artificial intelligence methods, machine learning and deep learning approaches, to analyse intellectual property data. This literature review follows a narrative approach with search strategy, where we present the state-of-the-art in intellectual property analytics by reviewing 57 recent articles. The bibliographic information of the articles are analysed, followed by a discussion of the articles divided in four main categories: knowledge management, technology management, economic value, and extraction and effective management of information. We hope research scholars and industrial users, may find this review helpful when searching for the latest research efforts pertaining to intellectual property analytics.     

Magnetostriction Behavior of Pseudobulk CoFeBSiNb(Ga) Systems

Co-based ferromagnetic amorphous systems prepared by rapid quenching are parts of a very interesting group of materials from the perspective of new magnetic application possibilities. Practical applications of amorphous metallic glasses are in some cases limited by the thickness of the ribbon. In the present contribution as-cast and after annealing Co–Fe–B–Si–Nb ribbons (monolayer), pseudobulk (bilayer, trilayer) materials with increased thickness in comparison with ribbons (monolayer) and Co–Fe–B–Si–Nb-Ga ribbon were investigated by measurements of magnetostriction λ _s . These materials were prepared by planar flow casting method (PFC) and modified PFC method with a single crucible which has two or three nozzles for preparation of pseudobulk samples, respectively. The field dependence of the parallel [λ _par(H)] and perpendicular [λ _perp(H)] magnetostrictions in the sample plane was measured at room temperature. These dependencies were used to calculate the values of saturation magnetostriction λ _s . Microstructure of the as-cast samples as well as annealed samples was investigated by X-ray diffraction (XRD), transmission electron microscopy (TEM) and high-resolution electron microscopy (HREM).     

A two-step deep learning approach to data classification and modeling and a demonstration on subject type relationship analysis in the Web of Science

Scientometrics - It is common sense that some subjects have strong relationships while others are perhaps almost mutually independent, but a quantitative and systematic approach to describe such...     

^89Sr放射性核素的活度测量

介绍利用液体烁计数法^89Sr核素进行绝对测量，解决了零几率外推等总理２，合成标准不确定度达到０．６２％，为^89Sr核素的应用提从可靠的测量方法。     

硅酸铋(BSO)晶体的空间生长

BSO晶体首次在飞船上进行了空间晶体生长.本文对空间和地面生长的BSO晶体进行了X射线摇摆曲线、位错腐蚀和透过率的测试.实验结果表明:在微重力环境下能明显提高BSO晶体的光学质量.     

Measurement of thermal diffusivity of hemispherical samples (bismuth)

The temperature distribution in a hemispherical sample with a point source (sink) is obtained for the case where the heat is supplied in the form of a pulse of finite length. The results of measurement of the thermal diffusivity of solid and liquid bismuth are presented.     

Rapid Prototyping of Microfluidic Systems in Poly(dimethylsiloxane)

This paper describes a procedure that makes it possible to design and fabricate (including sealing) microfluidic systems in an elastomeric material [Formula: see text] poly(dimethylsiloxane) (PDMS) [Formula: see text] in less than 24 h. A network of microfluidic channels (with width >20 μm) is designed in a CAD program. This design is converted into a transparency by a high-resolution printer; this transparency is used as a mask in photolithography to create a master in positive relief photoresist. PDMS cast against the master yields a polymeric replica containing a network of channels. The surface of this replica, and that of a flat slab of PDMS, are oxidized in an oxygen plasma. These oxidized surfaces seal tightly and irreversibly when brought into conformal contact. Oxidized PDMS also seals irreversibly to other materials used in microfluidic systems, such as glass, silicon, silicon oxide, and oxidized polystyrene; a number of substrates for devices are, therefore, practical options. Oxidation of the PDMS has the additional advantage that it yields channels whose walls are negatively charged when in contact with neutral and basic aqueous solutions; these channels support electroosmotic pumping and can be filled easily with liquids with high surface energies (especially water). The performance of microfluidic systems prepared using this rapid prototyping technique has been evaluated by fabricating a miniaturized capillary electrophoresis system. Amino acids, charge ladders of positively and negatively charged proteins, and DNA fragments were separated in aqueous solutions with this system with resolution comparable to that obtained using fused silica capillaries.     

紫外线防护系数(UPF)的两种测量方法研究

本文介绍了利用两种不同几何条件和光路布置测量紫外线遮挡系数(UPF)的方法。比较了它们的测量结果，并分析了影响测量结果准确度的各个因素。为保证UPF测量结果的准确可靠提供了有力的依据。     

New data on sodium salts of Np(VII) and Pu(VII)

A new Pu(VII) compound, Na₃[PuO₄(OH)₂]·2H₂O, was prepared by X-ray diffraction analysis, and its structure was studied. To reveal the character of actinide contraction in going from Np(VII) to Pu(VII), the geometric parameters of the tetragonal-bipyramidal surrounding of Pu(VII) in the [PuO₄(OH)₂]³⁻ anion were compared with those of Np(VII) in the previously studied isostructural compound Na₃[NpO₄(OH)₂]·2H₂O. To reveal the specific feature of hydrogen bonding in crystals of the general composition Na₃[NpO₄(OH)₂]·nH₂O (n = 0, 2, 4), the structure of the compound Na₃[NpO₄(OH)₂]·4H₂O studied previously by the photographic method was refined. The effect of hydrogen bonds on the geometric characteristics of the coordination polyhedra of the Np and Na atoms was considered.     

卧式金属罐容积检定结果(内测法)测量不确定度评定

根据《JJG266—96卧式金属罐容积检定规程》，对卧式金属罐容积检定结果(内测法)的测量不确定度进行评定。     

Feasibility of laser-induced breakdown spectroscopy (LIBS) for classification of sea salts

We have investigated the feasibility of laser-induced breakdown spectroscopy (LIBS) as a fast, reliable classification tool for sea salts. For 11 kinds of sea salts, potassium (K), magnesium (Mg), calcium (Ca), and aluminum (Al), concentrations were measured by inductively coupled plasma-atomic emission spectroscopy (ICP-AES), and the LIBS spectra were recorded in the narrow wavelength region between 760 and 800 nm where K (I), Mg (I), Ca (II), Al (I), and cyanide (CN) band emissions are observed. The ICP-AES measurements revealed that the K, Mg, Ca, and Al concentrations varied significantly with the provenance of each salt. The relative intensities of the K (I), Mg (I), Ca (II), and Al (I) peaks observed in the LIBS spectra are consistent with the results using ICP-AES. The principal component analysis of the LIBS spectra provided the score plot with quite a high degree of clustering. This indicates that classification of sea salts by chemometric analysis of LIBS spectra is very promising. Classification models were developed by partial least squares discriminant analysis (PLS-DA) and evaluated. In addition, the Al (I) peaks enabled us to discriminate between different production methods of the salts.