ABSTRACT. High precision industrial CT offers the advantage of non-destructive and fast capturing of the complete geometry of objects, especially for complex objects with hidden or difficult accessible surfaces. Modern micro-CT system is used as a new technology for dimensional metrology applications. However, due to the limitations of the X-ray source energy and power of the micro-CT system, it is currently possible to perform high-precision metrology of small objects of low-density materials. This presentation will introduce the research progress of high-energy X-ray high-precision LINAC industrial CT in Tsinghua University, and describe the design of micro-focus high-energy industrial CT based on new laser driven radiation source and its application prospects in high precision dimensional metrology of industrial components.

ABSTRACT. This talk will introduce some selected deep learning work published in 2018. Specifically, for automatic quantification of early brain development in the first year of life, i.e., with the goal of early identification of brain diseases such as autism, we have developed both deep learning based brain image segmentation and cortical surface parcellation methods. For early diagnosis of Alzheimer’s Disease (AD) with the goal of possible early treatment, we have applied deep learning to unsupervised brain registration for precise inter-subject comparison, distinctive-regions based disease diagnosis, and resting-state fMRI based early MCI (Mild Cognitive Impairment) diagnosis. Besides, for effective treatment of prostate cancer, especially for MRI-based cancer treatment, we have developed a novel context-aware GAN (Generative Adversarial Networks) for synthesizing CT from MRI, and two novel deep learning techniques to automatically segment pelvic organs from planning CT images for better guiding radiotherapy. Clinical significance and motivation for each developed technique will be introduced in this talk.

ABSTRACT. Settling slurry flow is very common and important in many industries, especially in transportation, which need be monitored in practical operation. An investigation on visualisation of horizontal settling slurry flow in pipeline with using electrical resistance tomography was made in this paper. The internal images of fluid structure were displayed to operators with measurement of the solids concentration distribution and solids velocity distribution in pipe cross-section. Experimental investigation with 5% solids loading concentration at various transport velocities were conducted. Meanwhile, the results of photography and other flow measurement methods were compared with the results obtained from electrical resistance tomography.

ABSTRACT. In this paper, we present a discussion on the algorithms design of Electrical Impedance Tomography (EIT) for biomedical applications. Based on the Maxwell differential equations and the derived the finite element(FE) linear equations, we first investigate the possibility to estimate the matrix that contains the impedance values based on Singular Value Decomposition(SVD) approximations. Secondly based on the biomedical properties we further explore the possibility to recover the impedance values uniquely by injecting various different types of currents with multi-frequency. Injecting various types of multi-frequency currents lead to a set of different measured voltages configurations, thus enhance the possibility of uniquely recovering the impedance values in a stable way under the assumption that the biological cells respond to the different type of injecting currents in a different way. By converting the Maxwell differential equations into linear equations by Finite Elements(FE) method, we are able to focus on the discussions based on the linear algebra method. We also explore some insights into the biological cells' electrical properties so that we can make use of the biological cell’s electrical properties to make the numerical algorithm design more stable and robust.

ABSTRACT. Electrical resistance tomography(ERT) has been widely used in Industrial in-spection. However, the sensitivity of ERT field center is low, which affects its imaging resolution. In this paper, the characteristics of ERT sensitivity matrix and its influence on reconstruction are analyzed. Then it is proposed to in-crease the sensitivity of the central field by adding an inner electrode on the basis of adjacent excitation adjacent measurement modes, and an algorithm suitable for this excitation mode is proposed. Simulation results show that this method can reduce image error and improve image resolution.

ABSTRACT. Access sensing system can be roughly divided into two categories: one is traditional, mainly based on different structures of locks with a key or a set of buttons (or a dial) for combinational codes to unlock; another type is digitally scientific, mainly consisted of electronics constructed with electromagnetic induction mechanism of locks applying a barcode card, RFID, fingerprint (palm print) identification system, or radio remote control to unlock. This paper tries to adopt the Frequency Hopping Spread Spectrum (FHSS) transmission function through the Bluetooth and multi-authenticated encryption technology, along with the open operating system of the smartphone --- Android, to establish a secure and reliable control system, to improve the weakness of the old style access sensing system, and to enhance the security on the management of access sensing system.

ABSTRACT. Propeller is one of the most important pieces of equipment for polar (Arctic and Antarctic) explorations and transportation, including ice breaking voyage. This paper developed a couple of design concepts to monitor the health of the blade structure to detect the ultimate ice loading as well to obtain measured experi-mental data from dynamics loading, for CFRP polar-class propellers by using imbedded FBGs. The main purpose of this study is to validate the polar-class propeller design software Rotorysics (formerly Propella), the ultimate ice load theory and the URI3 of Polar-Class Propeller Rules by the International Associa-tion of Classification Societies (IACS). These conceptual designs should be also applicable for aircraft propellers, wind and tidal turbines, especially impact load-ing via charpy testing.

ABSTRACT. According to the principle of spectral radiation, a color Charge-coupled-Device (CCD)–based sensor pyrometer system has been established for the detection of combustion in the blast furnace tuyere raceway. The two-color method is applied to calculate the two-dimensional projection temperature distribution of raceway, as it has great advantages in the harsh measurement environment. In this paper, the radiation image of the flame in the raceway is photographed using a color CCD camera and its two-dimensional projection temperature distribution is obtained by the two-color method with image processing technology. The results show that the average projection temperature of 320 and 5500 m3 blast furnace in 3 minutes are about 2260.5K and 2266.8K, respectively. The measured results are basically agreed with the theoretical combustion temperature. It is indicated that the temperature measurement system developed in this paper can accurately valuate the combustion situation in the raceway and it contributes to the stable operation of the blast furnace.