Abstract: Mechanisms are provided for generating an augmented reality representation of a real-world environment. An augmented reality (AR) system receives a captured digital image of the real-world environment and generates an initial estimate of a candidate point specifying an estimated location of an annotation point of a virtual object model within the captured digital image of the real-world environment. An accuracy of the initial estimate is calculated based on a function of characteristics of the annotation point and a function of characteristics of the candidate point and, in response to the evaluation of accuracy indicating that the initial estimate is not accurate, an annotation point location refinement operation is performed to generate a refined candidate point for aligning the annotation point with the captured digital image of the real-world environment. An AR representation of the real-world environment is generated based on the refined candidate point.

Abstract: Vehicles, methods, and computer readable storage media are provided for providing transportation of a gesturing pedestrian by an autonomous vehicle. The vehicle can be operated by identifying that an individual is interested in receiving a transportation. A second vehicle can then receive information about the individual that is interested in receiving the transportation. The first vehicle is then informed regarding the second vehicle.

Abstract: A method, computer program product, and computing system for coupling a multi-host remote direct memory access (RDMA) card to at least a pair of central processing units (CPUs). One or more signals may be routed, via the multi-host RDMA card, between the at least a pair of CPUs.

Abstract: A method, computer program product, and computer system for finding outliers in multidimensional time series samples. Each time series sample is divided into at least 2 sub samples having equal time duration. At least one prediction model is pre-trained using the sub samples and a prediction result for each sub sample for each prediction model is obtained by executing the pre-trained prediction models with the time series samples as input. A Shapely value corresponding to each prediction result is sub samples for each prediction model to generate multiple clusters of Shapely values for each prediction model. Highest ranking Shapely value outliers are determined from analysis of the multiple clusters. Highest ranking outlier sub samples corresponding to the highest ranking Shapely value outliers are identified.

Abstract: From a set of point data, a set of scattered rays is constructed. From the set of scattered rays, a set of ray slopes is computed. The set of ray slopes is mapped to a corresponding set of trigonometric functions. Using an optimization method, a parameter of the set of trigonometric functions is selected. Using an inverse of the set trigonometric functions, a vehicle mass corresponding to the set of point data is computed. Based on the vehicle mass, a threshold braking distance of a collision avoidance system of the vehicle is adjusted, the threshold braking distance comprising a distance from an object predicted to collide with the vehicle. By braking the vehicle at least the threshold braking distance from the object, a predicted collision between the vehicle and the object is avoided.

Abstract: A method, computer program product, and computer system for generating and using a basic state layer. N task models are provided (N ? 2). Each task model was trained on a same pre-trained backbone model. Each task model includes M feature layers and a task layer (M ? 1). Each feature layer of each task model includes a parameter matrix that is different for the different models. An encoder-decoder model is trained. The encoder-decoder model includes sequentially: an input layer, an encoder, M hidden layers, a decoder, and an output layer. The encoder is a neural network that maps and compresses the parameter matrices in the input layer into the M hidden layers, which generates a basic state model. The decoder is a neural network that receives the basic state model as input and generates the output layer to be identical to the input layer.

Abstract: A computer-implemented method for model training is provided. The method includes receiving, by a hardware processor, sets of images, each set corresponding to a respective task. The method further includes training, by the hardware processor, a task-based neural network classifier having a center and a covariance matrix for each of a plurality of classes in a last layer of the task-based neural network classifier and a plurality of convolutional layers preceding the last layer, by using a similarity between an image feature of a last convolutional layer from among the plurality of convolutional layers and the center and the covariance matrix for a given one of the plurality of classes, the similarity minimizing an impact of a data model forgetting problem.

Abstract: Single cell ribonucleic acid sequencing data has provided numerous avenues to monitor and study organism more thoroughly at a cellular level, including spatial arrangement of cells. An approach to predicting cellular immune response based on cellular spatial features may be presented herein. The approach may include utilizing ribonucleic acid sequence data for a single cell (“scRNA-seq”) or cell from a tissue. The approach may also include extracting spatial features of the single cell using the scRNA-seq data including cell-to-cell interactions and relative distance between cells. The approach may include predicting an immune response of a cell or cells based on the extracted spatial features.

Abstract: Example packet control methods and apparatus are described. One example method includes detecting, by a network node, a packet in a packet flow causing a congestion from an upstream node. The network node reduces a scheduling priority of the packet in the packet flow and generates a congestion isolation message, where the congestion isolation message includes description information of the packet flow. The congestion isolation message is sent to the upstream node to instruct the upstream node to reduce the scheduling priority of the packet in the packet flow.

Abstract: The present disclosure provides a method for preparing a high cohesive energy adsorbent for fluoride removal, which includes the following steps: S1. adding NaHF2—NiF·6H2O additive to SiCO ceramic powder, and sintering at a temperature of 310-330° C. for 18-22h to obtain a sintered substance; S2. grinding the sintered substance to obtain particles with a size of 2-3 mm, and mixing the particles with polyacrylonitrile to form a composite polymer; and S3. molding the composite polymer by a vacuum baking process at a temperature of 75-85° C., then performing ball milling and sieving to obtain the high cohesive energy adsorbent for fluoride removal. The high cohesive energy adsorbent for fluoride removal may be used in the adsorption and separation of the C2F6—CHF3—CClF3 mixture system, and the contents of CHF3 and CClF3 are lowered to less than 10ppmv.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining pre-check data associated with specified data nodes; calculating outliers for each specified data node, wherein the outliers are calculated based on a unit of the pre-check data associated with each specified data node; backtracking the calculated outliers for each specified data node through an associated generating data link; selecting one or more data nodes associated with a set of largest outliers; selecting one or more data links associated with the set of largest outliers; and generating potential anomaly indications based on the one or more data nodes selected and the one or more data links selected.

Abstract: A light emitting diode includes an n-type semiconductor layer including a pit structure formed therein, active layers grown only on sidewalls of the pit structure and configured to emit light, and a p-type semiconductor layer on the active layers and at least partially in the pit structure. In one embodiment, the pit structure is characterized by a shape of an inverted pyramid. The pit structure is formed in the n-type semiconductor layer by, for example, etching the n-type semiconductor layer using an etch mask layer having apertures with slanted sidewalls, or growing the n-type semiconductor layer on a substrate through a mask layer having an array of apertures.

Abstract: The invention provides a suspended catamaran target boat, including a deck, a suspension structure and two buoyancy units, the suspension structure is connected to upper sides of the two buoyancy units, and the deck is mounted on the suspension structure; the suspension structure includes at least two suspension assemblies including an upper base, a lower base and two support rods. The support rods are hinged between the upper base and the lower base, and the upper base, the lower base and the two support rods form a four-bar linkage mechanism, where a shock absorber and a restricting mechanism are installed between the upper base and the lower base. The deck is provided with a main controller, an acceleration sensor and a heel sensor, and the main controller is respectively electrically connected with the acceleration sensor, the heel sensor and each of the restricting mechanisms of the two suspension assemblies.

Abstract: A method includes steps of: based on protein structure data, selecting a residue pair that includes a specific residue and a paired residue respectively of two wild-type protein chains of a protein complex; determining a mutant residue to substitute for the specific residue; for a target interface between the mutant residue and the paired residue, calculating an atomic distance and an atomic interaction force based on the protein structure data and amino acid structure data; and estimating binding free energy of the target interface by feeding the atomic distance, the atomic interaction force, and physicochemical information related to the specific residue and the mutant residue into a deep neural network.

Abstract: Disclosed herein are embodiments for committing changes of an image of a virtual machine-based container running on a host computer system. A starting image for a container is obtained from a guest starting folder, and while the container runs the starting image changes to the image made by the running container are captured in a guest folder that is union mounted with the guest starting folder. Another union folder, which is the union of a new host folder and the starting folder, contains the changed image which can be used for the container or transferred to a different container.

Abstract: Methods, apparatus, computer program products for two-phased medical diagnosis are provided. The computer-implemented method comprises, receiving, by one or more processors, data during a process of a medical diagnosis from a source of data information. The computer-implemented method also comprises extracting, by one or more processors, features from the received data. The computer-implemented method also comprises transferring, by one or more processors, the extracted features in form of feature vectors to a server via a network. The computer-implemented method further comprises obtaining, by one or more processors, a recommendation of medical diagnosis from the server, wherein the recommendation of medical diagnosis is based, at least in part, on labels determined for the feature vectors.

Abstract: An approach is provided for optimizing a feedback-type question answering process. A training set is constructed to detect missing information of a question. A natural language generation model is trained using the missing information. The natural language generation model is executed to generate a rhetorical question. A response to the rhetorical question is combined with the question to generate an input to a language processor. A new question is generated. The new question is applied to a document library. A final answer is generated.

Abstract: A method includes: determining a mutation frequency for each residue in a wild-type spike protein of a specific virus; for each residue in the protein, counting a total number of contact residues related to said each residue and P antibodies based on P entries of protein structure data; for each residue in the protein, for a condition that said each residue mutates into one common amino acid residue, determining a normalized binding free energy value using a pre-established model based on the protein structure data, and determining a mutation effect score based on the mutation frequency, the total number of contact residues and the normalized binding free energy value; generating a mutation effect epitope map related to the mutation effect scores determined for all residues in the protein and all common amino acid residues; and determining, based on the map, a region in the protein as a target epitope.

Abstract: A method, computer program product and computer system to provide topic guide during document drafting is provided. A processor retrieves at least one section of text from a document. A processor receives a target topic for the document. A processor extracts at least one local topic from the at least one section of text. A processor generates a semantic network comprising the at least one local topic and the target topic. A processor determines a deviation value for the at least one local topic based on a distance between the at least one local topic and the target topic in the semantic network. A processor, in response to the deviation value exceeding a threshold value, alerts a user that the at least one section of text from the document is off-topic from the target topic.

Abstract: A sensor enclosure comprises a cover and a structure. The structure can be encased by the cover. The structure comprises a frame, a ring, and one or more anchoring posts. The frame can be configured to mount one or more sensors. The ring, disposed peripherally to the frame, can be operatively coupled to the cover. The ring can include a drainage ring plate that drains rainwater accumulated on the cover away from the sensor enclosure. The one or more anchoring posts, disposed underneath the frame and the ring, can be used to anchor the sensor enclosure to a vehicle.