摘要：【中文】本发明涉及一种基于GoogleTest测试框架实现区域控制器设备测试的方法，其中，包括:S1、编写案例；S2、通过图形化界面操作将案例转化为测试案例代码；S3、设置自动化测试执行次数；S4、根据测试案例启动对应的测试模型，并启动被测对象；S5、根据案例设置相应的状态值；S6、通过断言的方式判断被测对象计算出的是否与预期一致；S7、判断是否达到测试的次数，如果没有达到则执行步骤S3，否则继续；S8、显示测试结果。本发明基于GTest的测试系统既可以实现图形化也可以直接通过C++语言快速实现案例脚本的编写。 【EN】The invention relates to a method for realizing regional controller equipment test based on a GoogleTest test framework, which comprises S1, compiling cases; s2, converting the case into a test case code through graphical interface operation; s3, setting the execution times of the automatic test; s4, starting a corresponding test model according to the test case, and starting a tested object; s5, setting corresponding state values according to the cases; s6, judging whether the calculated result of the tested object is consistent with the expected result by an assertion mode; s7, judging whether the test times are reached, if not, executing the step S3, otherwise, continuing; and S8, displaying the test result. The GTest-based test system can realize imaging and can also directly and quickly realize writing of case scripts through C + + language.

摘要：【中文】本发明是一种对电力信息物理系统进行攻击检测及重构的方法,其特点是，针对不能通过比较残差信号和阈值实现攻击检测的特殊攻击，本发明设计了鲁棒微分器，提出了一种新颖的电力信息物理系统的攻击信号重构方法，不仅能够准确的获得电力信息物理系统攻击的重构信号，而且超过一定阈值的攻击信号也能被检测出来，根据攻击检测逻辑对重构的攻击信号进行攻击判断；本发明还将此方法推广到电力信息物理系统受到传感器攻击的情况，实现对电力信息物理系统受到传感器攻击的检测与重构；本发明以含有三个电机，六条母线的电力信息物理系统受到攻击为例进行攻击检测与重构。具有鲁棒性好、抗干扰性优良、适用性强、准确性高、响应速度快等优点。 【EN】The invention relates to a method for carrying out attack detection and reconstruction on a power information physical system, which is characterized in that aiming at special attacks which can not realize attack detection by comparing a residual signal with a threshold value, a robust differentiator is designed in the invention, a novel attack signal reconstruction method of the power information physical system is provided, not only can a reconstruction signal attacked by the power information physical system be accurately obtained, but also the attack signal exceeding a certain threshold value can be detected, and attack judgment is carried out on the reconstructed attack signal according to attack detection logic; the method is also popularized to the condition that the power information physical system is attacked by the sensor, and the detection and reconstruction of the power information physical system attacked by the sensor are realized; the invention takes the example that the physical system of the power information containing three motors and six buses is attacked to carry out attack detection and reconstruction. The method has the advantages of good robustness, good anti-interference performance, strong applicability, high accuracy, high response speed and the like.

摘要：【中文】公开了一种医学图像的显示方法及装置、计算机可读存储介质及电子设备，涉及图像处理技术领域。该医学图像的显示方法包括：基于待显示医学图像确定待显示组织的类型信息；基于类型信息确定待显示医学图像对应的显示参数；基于显示参数显示待显示医学图像。本公开实施例能够有效优化待显示医学图像的显示效果，进而为更好地辅助医生的诊断工作提供了前提条件。此外，与现有技术相比，由于本公开实施例能够实现待显示医学图像的显示效果的自动优化，因此，本公开实施例能够有效辅助提升医生的工作效率，进而提升用户体验好感度。 【EN】A medical image display method and device, a computer readable storage medium and an electronic device are disclosed, relating to the technical field of image processing. The display method of the medical image comprises the following steps: determining type information of a tissue to be displayed based on a medical image to be displayed; determining display parameters corresponding to the medical image to be displayed based on the type information; and displaying the medical image to be displayed based on the display parameters. The embodiment of the disclosure can effectively optimize the display effect of the medical image to be displayed, and further provides a precondition for better assisting the diagnosis work of a doctor. In addition, compared with the prior art, because this disclosed embodiment can realize waiting to show the automatic optimization of the display effect of medical image, consequently, this disclosed embodiment can effectively assist the work efficiency who promotes the doctor, and then promotes the user and experiences the good sensibility.

摘要：【中文】公开了一种图像分割方法、图像分割装置、计算机可读存储介质及电子设备，涉及图像处理技术领域。该图像分割方法包括：将待分割图像输入至分割网络模型，以确定第一分割区域；对第一分割区域进行精处理操作，以确定第一分割区域对应的第二分割区域。由于基于分割网络模型确定第一分割区域的方式能够充分利用深度学习在适应能力和鲁棒性方面的优势，因此，与现有图像分割方法相比，本公开实施例提供的图像分割方法具备更优的适应能力和鲁棒性。又由于基于精分割操作确定第二分割区域的方式能够进一步提高第一分割区域的分割精准度，因此，与现有图像分割方法相比，本公开实施例提供的图像分割方法具备更优的分割精准度。 【EN】Disclosed are an image segmentation method, an image segmentation device, a computer-readable storage medium and an electronic device, which relate to the technical field of image processing. The image segmentation method comprises the following steps: inputting an image to be segmented into a segmentation network model to determine a first segmentation area; and performing a fine processing operation on the first segmentation region to determine a second segmentation region corresponding to the first segmentation region. Because the method for determining the first segmentation region based on the segmentation network model can fully utilize the advantages of deep learning in the aspects of adaptability and robustness, compared with the existing image segmentation method, the image segmentation method provided by the embodiment of the disclosure has better adaptability and robustness. In addition, the method for determining the second segmentation region based on the fine segmentation operation can further improve the segmentation accuracy of the first segmentation region, so that compared with the existing image segmentation method, the image segmentation method provided by the embodiment of the disclosure has better segmentation accuracy.

摘要：【中文】本发明涉及一种软悬挂状态下的隔水管安全监测系统及方法，该系统包括隔水管应力应变监测系统、顶部柔性接头倾角监测系统、激光干涉监测系统、信息融合中心和平台控制中心；平台控制中心在平台附近有台风或其他危险情况时发送台风预警指令到各监测系统；信息隔水管应力应变监测系统对隔水管的应力应变参数进行实时测量；顶部柔性接头倾角监测系统对隔水管顶部饶性接头偏角参数进行实时测量；激光干涉监测系统对隔水管中心偏移量参数进行实时测量；信息融合中心将各实时测量值与参数预警值进行比较，当大于参数预警值时，发送预警信息到平台控制中心；平台控制中心对平台的速度及方向进行调整。本发明可以广泛应用于石油管道监测领域。 【EN】The invention relates to a riser safety monitoring system and a method in a soft suspension state, wherein the system comprises a riser stress-strain monitoring system, a top flexible joint inclination angle monitoring system, a laser interference monitoring system, an information fusion center and a platform control center; the platform control center sends typhoon early warning instructions to each monitoring system when typhoon or other dangerous conditions exist near the platform; the stress-strain monitoring system of the information marine riser measures the stress-strain parameters of the marine riser in real time; the top flexible joint inclination angle monitoring system measures deflection angle parameters of a flexible joint at the top of the marine riser in real time; the laser interference monitoring system measures the central offset parameter of the marine riser in real time; the information fusion center compares each real-time measurement value with the parameter early warning value, and when the real-time measurement value is greater than the parameter early warning value, the information fusion center sends early warning information to the platform control center; the platform control center adjusts the speed and the direction of the platform. The invention can be widely applied to the petroleum pipeline monitoring field.

摘要：【中文】本发明涉及一种用于水声通信的两级唤醒电路及其唤醒方法，两级唤醒电路分别与接收节点和接收换能器相连，接收换能器通过发送换能器与发送节点进行数据通信，其特征在于：两级唤醒电路包括信号预处理模块和单片机模块；信号预处理模块持续对通信信道进行监测，当接收换能器发送唤醒信号时，对接收到的唤醒信号进行预处理后发送到单片机模块；单片机模块根据预设电压阈值对预处理结果进行判断，当预处理后的唤醒信号超过预设电压阈值时，则对预处理后的唤醒信号进行有效性判断，并产生两路信号，一路为用于唤醒接收节点的中断信号，另一路为对预处理后的唤醒信号进行识别处理的信号。本发明可以广泛应用于水声通信领域。 【EN】The invention relates to a two-stage wake-up circuit for underwater acoustic communication and a wake-up method thereof, wherein the two-stage wake-up circuit is respectively connected with a receiving node and a receiving transducer, and the receiving transducer carries out data communication with a sending node through the sending transducer, and the wake-up circuit is characterized in that: the two-stage wake-up circuit comprises a signal preprocessing module and a singlechip module; the signal preprocessing module continuously monitors the communication channel, and when the receiving transducer sends the wake-up signal, the received wake-up signal is preprocessed and then sent to the single chip microcomputer module; and the single chip microcomputer module judges the preprocessing result according to a preset voltage threshold, and when the preprocessed wake-up signal exceeds the preset voltage threshold, the effectiveness judgment is carried out on the preprocessed wake-up signal, and two paths of signals are generated, wherein one path of signals is an interrupt signal for waking up a receiving node, and the other path of signals is a signal for identifying the preprocessed wake-up signal. The invention can be widely applied to the field of underwater acoustic communication.

摘要：【中文】本发明提供了一种确定医学影像显示参数的方法及装置，该方法包括：获取医学影像数据，医学影像数据包括医学图像和整体像素值集合；基于医学影像数据确定医学图像中目标区域的目标像素值集合；利用预设规则基于目标像素值集合确定显示参数，显示参数包括窗宽和窗位。本发明的技术方案能够动态调整显示参数，实现对目标区域内细节部分的清晰显示。 【EN】The invention provides a method and a device for determining medical image display parameters, wherein the method comprises the following steps: acquiring medical image data, wherein the medical image data comprises a medical image and an integral pixel value set; determining a target set of pixel values for a target region in a medical image based on medical image data; and determining display parameters based on the target pixel value set by using a preset rule, wherein the display parameters comprise window width and window level. The technical scheme of the invention can dynamically adjust the display parameters and realize clear display of the detail part in the target area.

摘要：【中文】公开了一种基于医学图像的组织分型方法及装置、计算机可读存储介质及电子设备，涉及图像处理技术领域。该基于医学图像的组织分型方法包括：基于待分型医学图像确定待分型组织对应的图像区域；基于图像区域确定待分型组织对应的灰度特征信息；基于灰度特征信息确定待分型组织的类型。由于灰度特征信息能够精准表征待分型组织的结构分布情况，因此，本公开实施例能够极大提高所确定的待分型组织的类型的精准度。此外，与现有直接采用深度学习的分型方法相比，本公开实施例不仅能够提高分型精准度，而且能够降低计算量，提高计算速度。 【EN】Disclosed are a tissue typing method and device based on medical images, a computer readable storage medium and an electronic device, relating to the technical field of image processing. The tissue typing method based on the medical image comprises the following steps: determining an image area corresponding to a tissue to be classified based on the medical image to be classified; determining gray characteristic information corresponding to the tissue to be classified based on the image area; and determining the type of the tissue to be classified based on the gray characteristic information. Because the gray characteristic information can accurately represent the structural distribution condition of the tissue to be classified, the accuracy of the determined type of the tissue to be classified can be greatly improved. In addition, compared with the existing typing method directly adopting deep learning, the embodiment of the disclosure can not only improve the typing precision, but also reduce the calculation amount and improve the calculation speed.