Abstract: Systems and methods for identifying landmarks of a document from a digital representation of the document. The method comprises accessing the digital representation of the document and operating a Machine Learning Algorithm (MLA), the MLA having been trained based on a set of training digital representations of documents associated with labels. The operating the MLA comprises down-sampling the digital representation of the document, detecting landmarks, generating fractional pixel coordinates for the detected landmarks. The method further determines the pixel coordinates of the landmarks by upscaling the fractional pixel coordinates from the second resolution to the first resolution and outputs the pixel coordinates of the landmarks.

Abstract: A method implemented to provide a virtual network to tenants requiring bandwidth in a cloud computing environment is disclosed. The method starts with receiving a request for a task at a network device, the request including a first parameter indicating VMs required, a second parameter indicating bandwidths the required VMs need, a third parameter indicating a duration of the task, and a fourth parameter indicating a deadline of the task. The network device then selects a starting time and a bandwidth allocation of the task, where the bandwidth allocation is shrank to be smaller than the second parameter indicating, and where the selection aims at minimizing a measurement of cloud resource utilization considering consumptions of both VMs and bandwidth. Then the network device allocates VMs for the request at the starting time with the bandwidth allocated at a particular location in the cloud computing environment.

Abstract: Aspects of the present disclosure relate to input text management. Input text can be received from a user. A set of key elements can be extracted from the input text. A determination can be made whether the user is mapped to an existing cluster. In response to determining that the user is mapped to an existing cluster, a structured table mapping key elements to text modifications can be referenced. The input text can be modified according to the structured table mapping key elements to text modifications, wherein the existing cluster is associated with a text modification scheme within the structured table, wherein the text modification scheme includes a first mapping of key elements to text modifications.

Abstract: Methods of forming and processing semiconductor devices which utilize the selective etching of aluminum oxide over silicon oxide, silicon nitride, aluminum oxide or zirconium oxide are described. Certain embodiments relate to the formation of self-aligned contacts for metal gate applications.

Abstract: A control system of an electronic-controlled oil-gas dual fuel engine includes electronic control pumps, fuel gas injection electromagnetic valves, a fuel gas control device and a fuel oil control device. The fuel gas control device and the fuel oil control device are electrically connected with a control device of the engine. The fuel gas control device is electrically connected with the fuel gas injection electromagnetic valves and controls the opening time and the opening duration of each fuel gas injection electromagnetic valve installed on a pipeline between a natural gas rail and a cylinder cover air inlet channel of the engine. The fuel oil control device is electrically connected with the electronic control pumps, and controls the starting time and the operation duration of the electronic control pump, and the electronic control pumps are installed on a pipeline between an engine fuel oil rail and a cylinder cover fuel injector.

Abstract: An approach is provided in which a method, system, and program product display, on a user interface, at least one of a set of node split parameters in response to receiving a first user selection that selects a node in a decision tree. The selected node branches to a set of child nodes in the decision tree based on the set of node split parameters. The method, system, and program product adjust at least one of the set of node split parameters of the selected node in response to receiving a second user selection. The method, system, and program product modify the decision tree based on the adjusted set of node split parameters. The modified decision tree includes a modified set of child nodes that branch from the selected node based on the adjusted set of node split parameters.

Abstract: A device and a method for detecting cigarette fly ash by a gray-scale difference based on machine vision (MV) are provided. A manipulator holds a cigarette as a detection sample to simulate a human smoking action, and multiple groups of cameras track a simulated smoking process of the detection sample synchronously in real time. It is determined whether fly ash appears based on a gray-scale difference of burning ash columns, produced without being subjected to flicking, in acquired images. A fly ash area of the burning ash columns of the cigarette is calculated by an area with the gray-scale difference of the burning ash columns of the cigarette in two sequential images of the burning ash columns of the cigarette, and a fly ash amount is further determined. The detection of the amount of fine fly ash is converted into the detection of the gray-scale difference.

Abstract: Provided are a resin composition for a tackifier or an adhesive and a preparation method thereof. Provided is a resin composition for a tackifier or an adhesive, which includes a hydrogenated petroleum resin with a controlled hydrogenation rate to have excellent compatibility with polyolefin and to exhibit high transparency while having improved quality including adhesive property.

Abstract: A method of clustering data generated by an unknown model, the method including accessing the data, wherein the data includes a prediction target and a confidence, extracting a data group with high prediction confidence from the data, wherein the data group comprises a plurality of data cases, and where each of the data cases is described by a plurality of predictors, identifying high rank predictors of each the data cases in the data group, transforming the data group into a transformed data group including only the high rank predictors for each of the data cases, wherein the high rank predictors are ranked within each of the data cases included in the transformed data group, clustering the transformed data group to generate clusters, and profiling the clusters to extract an insight about the unknown model.

Abstract: A method and system for accessing a digital object in a Human-Cyber-Physical environment are provided. A P2P network is established based on a distributed hash table (DHT); a Kademlia algorithm is used to establish a forward routing table corresponding to each node; and an index binary tree is established according to a logical distance between each node in the forward routing table and a target node. In a process of transmitting a message from a node of a storage digital object to a root node, all nodes that the message passes establish backward routing tables for the digital object, so that in a data query stage, target data may be found from any node through the forward routing table and the backward routing table, and a data identifier of a data entity in the DHT-based P2P network from a storage location of the data identifier may be decoupled.

Abstract: Data segmentation, analysis, and security is provided. An analysis of a set of generated data evolution paths corresponding to a set of data collected over a defined span of time is performed. A behavior trend is determined based on analysis of the set of generated data evolution paths. A set of action steps is performed automatically based on the determined behavior trend.

Abstract: The present invention discloses a clustering routing optimization method based on adaptive evolutionary algorithm for a wireless sensor network, comprising following steps: performing population initialization by initial position and energy information of sensor nodes; calculating fitness values, and implementing iterative operation of elite preservation, adaptive crossover and mutation; after the iteration, selecting a cluster head; routing data packet of the cluster head to a base station. Convergence process of the evolutionary algorithm is improved by nonlinearly adjusting the probability of crossover and mutation; upper and lower bound of crossover and mutation operators are dynamically adjusted by fitness value; adding an incentive factor, adjusting the crossover and mutation probability when the fitness value tends to converge, and running the algorithm again to confirm that a new optimal value is generated.

Abstract: A method is described herein of making a textured glass article where the method includes: providing a glass substrate having an initial primary surface and an opposing primary surface; disposing a protective coating on at least one of the initial primary surface or the opposing primary surface; and etching the glass substrate with a hydrofluoric acid-free etchant having a pH of about 7 or less to form a leached layer in the glass substrate.

Abstract: A photothermal catalytic method for production of hydrogen peroxide without a sacrificial reagent on the basis of a porphyrin-based supermolecule is provided. The method includes the following steps: uniformly mixing a porphyrin-based supermolecule photocatalyst with a concentration of 0.3-1.5 g/L with ultrapure water, conducting irradiation with a visible light for a period of time under stirring at a temperature of 40-80° C. and an O2 flow rate of 50-150 mL/min, and then filtering and concentrating a reaction liquid to obtain an aqueous hydrogen peroxide solution with a high concentration. According to the new photothermal catalytic method for preparing the hydrogen peroxide provided in the present disclosure, no organic solvent (such as ethanol, isopropanol and benzyl alcohol) is used as a sacrificial reagent, and the method is environmentally friendly and free of pollution.

Abstract: The technology described herein is directed to improved chimeric molecules for, e.g, the treatment of cancer. As described herein, the inventors have developed novel chimeric aptamer-siRNA molecules (AsiCs) which demonstrate improved efficacy over existing AsiCs and which can successfully synergize in treating cancer. These AsiC's target cancer cell markers to direct therapeutic siRNA molecules specifically to cancer cells, increasing delivery efficacy and therapeutic effectiveness while reducing the potential for side effects.

Abstract: An offset data acquisition method and device of a fluxgate magnetometer are provided by the present disclosure, wherein the offset data acquisition method of the fluxgate magnetometer comprises: controlling the first analog switch, the second analog switch and the third analog switch to change directions within a preset period to obtain eight switch direction combinations between the first analog switch, the second analog switch and the third analog switch; acquiring magnetic field measurement data corresponding to an each of the switch direction combinations; and the magnetic field measurement data comprises x-axis magnetic field measurement data, y-axis magnetic field measurement data and z-axis magnetic field measurement data; and acquiring the offset data based on influence factors of an offset and the magnetic field measurement data within the preset period.

Abstract: A cushioning device and a packaging assembly for a base station antenna includes an inner cushioning member and an outer cushioning member. Each cushioning member comprises an inflated airbag. The inner cushioning member is configured to abut an end cover of the housing of the base station antenna and to surround at least one protruding member that is provided on the end cover within a cavity defined by the inner cushioning member. The outer cushioning member is configured to cover both ends of the base station antenna.

Abstract: Disclosed herein is a chemo-proteomic probe for labelling and monitoring a live microbe interacting with a host cell and for qualitative and quantitative analyses of those proteins involved during a microbe infects the host cell. This probe comprises a functional group for conjugating to a surface protein of a live microbe under a physiological condition; a photo-reactive group for covalent cross-linking to an interacting cell protein of a host; and a tag for isolating the cross-linked complex of the surface protein of said live microbe and the interacting protein of a host cell for qualitative and quantitative proteomics analyses. The probe may further comprise a visualization tag. This technology takes advantage of the high throughput feature of mass spectrometry analysis and combines it with a uniquely designed chemistry to achieve high efficient isolation and analysis of host cell proteins interacting with a pathogen at different stages of an infection.

Abstract: The present disclosure relates to a full-text indexing method and system based on a graph database. A full-text indexing engine creates an index template, data with a field type being character string in a graph database is synchronized to the full-text indexing engine, the full-text indexing engine creates an index for each piece of character string data according to the index template to obtain a full-text index; the graph database acquires and sends query request information to the full-text indexing engine; the full-text indexing engine acquires a first result set of a query statement according to the full-text index; the graph database performs data scanning on the first result set based on key-value pairs to obtain a second result set. The full-text indexing engine supports conditional filtering of the character string type. Character string data is quickly found in the full-text indexing engine, thereby improving efficiency of data retrieval.

Abstract: An approach is provided in which a method, system, and program product identify a plurality of models to test a set of data. Each one of the plurality of models produces one of a plurality of predictions corresponding to one of a plurality of targets. The method, system, and program product detect one or more conflicts between the plurality of predictions in response to testing the set of data against each of plurality of models. The method, system, and program product report an un-inferable result of the testing in response to detecting the one or more conflicts.