Abstract: A lung lobe contour extraction method aiming at DR radiography, which includes the steps: Obtain the representative lung lobe contour template through offline training; initialize the extraction system of contour lobe area in the chest DR radiography; According to dimension of DICOM image, conduct three-layer pyramid decomposition on the images; Use Gabor filter bank to rebuild pending images; Convert residual error of the rebuilt image by the Gabor filter into black and white image; Use Zhan-Suen refinement algorithm to refine the black and white image; Call every template of the offline training and use them as the convolution kernel operator, conduct convolution on the contour imagep; Filter the local optimum convolution value with optimum possibility from the convolution results and combine the evaluations; Generate the lung lobe contour shape in accordance with the upper and lower templates of optimum matching and its position.

Abstract: The present invention belongs to the field of energy-saving control of manufacturing system and specifically discloses a fuzzy energy saving control method for a manufacturing system based on real-time production data, comprising: (1) obtaining the amount of work-in-process (WIP) in an upstream buffer and the amount of WIP in a downstream buffer of a currently running machine as two input variables for fuzzy reasoning; (2) performing fuzzy reasoning with a fuzzy rule based on the amount of WIP in the upstream buffer and the amount of WIP in the downstream buffer to obtain a fuzzy output value; and (3) comparing the fuzzy output value with a predefined threshold to determine whether the fuzzy output value is less than the threshold or not, if yes, stopping the currently running machine, and if not, keeping the current state.

Abstract: System (100) for calibrating particulate matter sensors includes a chamber (102) including a plurality of particulate matter sensors (104-1,104-2,104-3,104-N), a fan (110), a particulate matter source (108), an air cleaner (112), and a reference particulate matter sensor (106), a computing device (114) having a processor (118) and a memory (116) storing instructions which, when executed by the processor (118), cause the processor (118) to activate the particulate matter source (108) and the fan (110) until the reference concentration reaches a threshold, activate the air cleaner (112) responsive to the threshold being reached until the reference concentration reaches a calibration point, receive a respective determined mass concentration from each of the plurality of particulate matter sensors (104-1,104-2,104-3,104-N) at the calibration point, and calibrate each of the plurality of particulate matter sensors (104-1,104-2,104-3,104-N) based, at least in part, on a respective relationship between the reference

Abstract: A meter gauge power bogie and a meter gauge vehicle, the meter gauge power bogie includes two wheelsets, a framework arranged on the wheelsets and a driving device, the wheelset includes an axle extending along the width of the vehicle body and wheels press-fitted with the axle and located at both ends of the axle, a traction motor is arranged at a front side or a rear side of a rolling axial suspension box, and via the rolling axial suspension box enclosing an axle of the driving device of the bogie and a gearbox being arranged between ends of the traction motor and the rolling axial suspension box at the same side and the corresponding wheel, the rolling axial suspension box, the traction motor and the gearbox are fixedly connected, and thus form an integral structure.

Abstract: A DR radiography lung contour extraction method based on fully convolutional network, which includes the steps: Establish the fully convolutional network structure of lung contour segmentation; Conduct off-line training on the weighting parameters of the fully convolutional network; Read DR image and weighting parameters of the fully convolutional network; Input DR image into fully convolutional network and output segmentation results of image through network terminal with network layer-by-layer feedforward. Establish lung contour in accordance with segmentation results.

Abstract: Disclosed are substituted pyrazole compounds containing pyrimidinyl as shown in Formula I: The definitions of each of the substituents can be seen in the description. The compounds of present invention have a good spectrum of bactericidal, insecticidal and acaricidal activity,and have good control effect on downy mildew of cucumber, powdery mildew of wheat, corn rust, rice blast, cucumber anthracnosis and the like. The compounds of present invention also show good insecticidal activity.

Abstract: This invention comes up with a kind of Android malicious code detection method on the base of community structure analysis. During the reverse analysis process of target program, firstly, it obtains critical static feature information automatically, such as permission, function, class, system API, etc,; secondly, it uses the call relation between functions to create function call graph, and undertakes pretreatment on function call graph; make cycle division and analysis for the weighted function call graph so as to get the correction division of community structure; finally, it extract features from community structures for machine learning and get the final maliciousness determination result. This invention method is able to undertake program internal structure analysis and malicious code detection rapidly when facing a large number of Android application program samples generated by “repackaging” technology.

Abstract: A DR radiography lung contour extraction method based on fully convolutional network, which includes the steps: Establish the fully convolutional network structure of lung contour segmentation; Conduct off-line training on the weighting parameters of the fully convolutional network; Read DR image and weighting parameters of the fully convolutional network; Input DR image into fully convolutional network and output segmentation results of image through network terminal with network layer-by-layer feedforward. Establish lung contour in accordance with segmentation results.

Abstract: A kind of malicious software clustering method expressed based on TLSH feature, which belongs to analysis and test area of malicious software. The Cuckoo Sandbox is used to analyze malicious software to acquire three kinds of character string features, which are static feature of software, resource assess record during operation and API; then character strings are disassembled, filtered and sorted and TLSH algorithm is used to compress them into three groups of feature values with size of 70 characters; Finally, OPTICS algorithm is utilized to realize automatic classification on malicious software family. Invention adopts unsupervised learning methods, which does not need manual tab for training in advance. Features which are extracted are compressed and expressed by using TLSH. Under situation that feature is not lost, data dimension is largely lowered and clustering speed is improved.

Abstract: A method of detecting malware in Linux platform through the following steps: use objdump-D command to disassemble ELF format benign software and malware samples to generate assembly files; traverse the generated assembly files one by one, read the ELF files' code segment and meanwhile identify whether the code segment contains main( ) function; analyze the code segment read. Divide assembly code into different basic blocks. Each basic block is marked by its lowest address. Add control flow graph's vertex to the adjacency linked list; establish the relation between basic blocks, add control flow graph's edges to the adjacency linked list and generate a basic control flow graph; extract control flow graph's features and write them into ARFF files; take ARFF files as the data set of a machine learning tool named weka to carry out data mining and construct classifier; classify the ELF samples to be tested by using the classifier.

Abstract: A lung lobe contour extraction method aiming at DR radiography, which includes the steps: Obtain the representative lung lobe contour template through offline training; initialize the extraction system of contour lobe area in the chest DR radiography; According to dimension of DICOM image, conduct three-layer pyramid decomposition on the images; Use Gabor filter bank to rebuild pending images; Convert residual error of the rebuilt image by the Gabor filter into black and white image; Use Zhan-Suen refinement algorithm to refine the black and white image; Call every template of the offline training and use them as the convolution kernel operator, conduct convolution on the contour imagep; Filter the local optimum convolution value with optimum possibility from the convolution results and combine the evaluations; Generate the lung lobe contour shape in accordance with the upper and lower templates of optimum matching and its position.

Abstract: The invention relates to the use of TRPC6 mRNA levels in peripheral blood cells for the early detection/diagnosis of senile dementia. Specifically, the present invention provides a classic transient receptor potential channel 6 (TRPC6) gene or protein thereof and the use of same in preparing a reagent or test kit for detecting or diagnosing Alzheimer's disease. The present invention further relates to a polypeptide used to prepare a medicament that treats AD, and relates to a composition of said polypeptide.

Abstract: Hydroxyphenylbenzazole compounds that are useful for the selective detection of zinc, aluminum, chromium, and iron cations in vitro and in vivo. The Hydroxyphenylbenzazole compounds include a 2-hydroxyphenyl group bound to a single benzazole group; a first ligand group that is a Schiff base moiety; and a second ligand group selected from a Schiff base moiety and a hydroxyl group.

Abstract: The present invention belongs to the field of fungicides, and relates to an amide compound and the preparation method and use thereof. The amide compound is as shown in general formula I: Each substituent in Formula I is defined in the description. The compound of general formula I of the present invention has an outstanding fungicidal activity, and can be used for controlling fungal diseases.

Abstract: A composition for polyurethane foaming, a polyurethane foam and a use thereof. The composition contains two different polyols with a polyethylene oxide ether structure and a polypropylene oxide ether structure, and a specific type of catalyst, flame retardant and water are added thereto; at the same time, the composition contains a small amount of a surfactant and other small molecular alcohols. The traits of the product are that it is pale yellow and transparent, and the product is not layered during long-term storage. The above-mentioned composition and polyphenylpolymethylene polyisocyanate (PAPI) produce a low-density polyurethane foam by means of a foaming machine.

Abstract: A kind of transmission method based on the learnable power model, which conducts periodic record for the historical change trend of the network. This method conducts weighting smooth processing on the round trip time and judges the changing trend of congestion control window. Then, it establishes model for the relationship between network power and the congestion control widow. When a new ACK is received, it immediately updates the window of power model. Finally, it forecasts the size of the congestion control window of the next time period by combining the congestion window and the network power changing trend. For the network packet loss or time-out events, the retransmission mechanism of traditional TCP is used, and when the packet loss ends, the power model process is used again. This invention reduces the influence of the network random events of the estimation error of traditional algorithm.

Abstract: A kind of congestion improvement method based on the QUIC protocol adds the information of round trip delay in the congestion algorithm, self-adaptive changes the value of ? to judge the situation of current network through comparison between the RTT of last time and the current RTT and then adjusts the current target window value in accordance with the current network situation, changing the congestion window based on the cubic growth curve of the cubic algorithm. This improvement method can make the QUIC protocol judge the current network situation more timely and accurately and can make the congestion window change quickly to fully utilize the bandwidth. The maximum congestion window limitation 200 exists in the QUIC protocol, which will not exceed 200 no matter how the congestion window grows. Such limitation largely reduces the throughput rate of QUIC protocol in the network environment with high bandwidth and long round trip delay.

Abstract: A kind of self-adaptive network congestion control method based on SCPS-TP, which includes the following steps: The SCPS-TP's gateway source-end receives and transmits the packets to destination end; Judge if there is new packet received in accordance with the analyzed ACK; If there is no new packet received, when the duplicate ACK counter increase to a certain value, change the window size's growth pattern to linear self-adaptive pattern; If there is new packet received, the congestion control is in the exponential growth pattern. After window is enlarged, Diff is bigger than the set threshold value and the congestion control method is changed to linear self-adaptive pattern; If congestion control is in the linear self-adaptive pattern, adjust window size in accordance with Diff; The SCPS-TP's gateway source-end sends the packets in the packet loss buffer to destination end and sends new packets in accordance with the size of congestion window.

Abstract: A X-ray chest image rib suppression method based on Poisson model. It conducts contourlet transformation on the image and utilizes transformation coefficient correlation between different scales to conduct texture enhancement on the image; it designs strip-type detection filter in accordance with the Hessian matrix eigenvalue to the image and detects the area where the rib locates in; it combines enhanced texture and rib area information, establishes and solves rib suppression Poisson model, realizing the rib suppression in the image.

Abstract: Disclosed are a method and a terminal for implementing image sequencing. The method includes: analysing an eye feature of a user when the user reviews images, so as to obtain and record duration for which the user reviews each of the images; and performing sequencing on the images according to the recorded duration for which the user reviews each of the images. The technical solution of the disclosure analyses the eye feature of the user when reviewing images, obtains the durations for which the user reviews the images, and performs sequencing on images of interest to the user by means of the durations so as to enable the images of interest to the user to be ranked higher, thereby increasing the efficiency by which a user reviews images, and improving user experience.