Abstract: A high-reliability and high-robustness routing method for MSR-WSNs is provided, including: S1: generating an initial dynamic topological structure of MSR-WSNs; S2: determining a cluster head node for any maritime search and rescue node, and joining a corresponding cluster to obtain a set of clusters; S3: calculating a predicted forward distance of a maritime search and rescue data packet of a target node; S4: calculating the correct reception rate among nodes under the communication link of the maritime search and rescue environment; S5: calculating and sorting the priority of each relay node from high to low according to the priority; S6: when carrying out the task of forwarding maritime search and rescue data packets, the target nodes select the candidate relay nodes in turn and combined with the reliable response mechanism to forward until the maritime search and rescue data packets are successfully received by search and rescue ship.

Abstract: Embodiments of the present disclosure provide a color film substrate and a method for preparing the same, and a display device. The color film substrate comprises a substrate; a first black matrix located on the substrate; and a second black matrix partially overlapping with the first black matrix, wherein at an overlapping position of the first black matrix and the second black matrix, the second black matrix overlays the first black matrix in a direction perpendicular to the substrate, and wherein a size of an opening defined by either of the first black matrix and the second black matrix is larger than a size of an opening defined by the first black matrix and the second black matrix together.

Abstract: A cluster-based training method includes: in response to a hardware fault in the training node, selecting a target standby node from the plurality of standby nodes, and obtaining a target training snapshot of the model training task in the training node, in which the target training snapshot includes training state data of the model training task; and initializing the target standby node based on a container image of a model training program in the training node and the training state data to replace the training node with the target standby node to continue executing the model training task.

Abstract: Provided are a method and a device for reconstructing lost data of marine wireless sensor networks (MWSNs). The data reconstruction method includes following steps: establishing an initial topological structure of the MWSNs; using an improved hierarchical energy balance multipath (THEBM) routing protocol to cluster network nodes; using an improved radial basis function neural network (RBFNN) to predict lost data of nodes in the cluster based on a clustering of the nodes; and using a centralized principal component analysis (PCA) method to compress and reconstruct data of a cluster head node in a process of data transmission from a cluster head to a ship base station.

Abstract: Disclosed is a ship image track tracking and prediction method based on ship heading recognition, which includes the following steps: obtaining a ship image data set, preprocessing the data set to obtain a preprocessed data set; inputting the preprocessed data set into the rotating ship detection network for training, obtaining the trained rotating ship detection network, collecting the ship navigation video, and inputting the ship navigation video into the trained rotating ship detection network to obtain the ship detection result; inputting the ship detection result into the rotating ship tracking network and tracking the target ship to obtain the historical trajectory and the heading information of the target ship; inputting the historical trajectory and ship heading information of the target ship into the ship trajectory and ship heading prediction network, and predicting the navigation trajectory and ship heading at sea.

Abstract: A node positioning method for marine environmental monitoring wireless sensor networks is provided, which jointly estimates node positions and path loss factors by considering the node real-time movement and the path loss and absorption effect of underwater communication; transforms an original non-convex problem into a non-negative constrained least squares framework, and finds the optimal solution of marine node positions by two stages of interior point method and block coordinate update. In the first stage, the problem is re-expressed by using the penalty function according to the interior point method to obtain the approximate solution; and in the second stage, the original problem is transformed into a generalized trust region sub-problem, and the approximate solution obtained by the interior point method is used as the initial estimation, the accurate estimation values of the marine node position and path loss factor are obtained by iterative solutions combined with the block coordinate update.

Abstract: The present invention proposes an ensemble deep learning method for identifying unsafe behaviors of operators in maritime working environment. Firstly, extract features of maritime images with the You Only Look Once (YOLO) V3 model, and then enhance a multi-scale detection capability by introducing a feature pyramid structure. Secondly, obtain instance-level features and time memory features of the operators and devices in the maritime working environment with the Joint Learning of Detection and Embedding (JDE) paradigm. Thirdly, transfer spatial-temporal interaction information into a feature memory pool, and update the time memory features with the asynchronous memory updating algorithm. Finally, identify the interaction between the operators, the devices, and unsafe behaviors with an asynchronous interaction aggregation network. The proposed invention can accurately determine the unsafe behaviors of the operators, and thus provide operation decisions for maritime management relevant activities.

Abstract: The present invention provides a vessel traffic pattern identification method via data quality control and data compression, and includes the steps of assorting a collection of Automatic Identification System (AIS) data points according to Maritime Mobile Service Identity (MMSI) code; sorting each collection result by time ascending order; deleting duplicated vessel AIS data points considering time stamp, latitude, longitude and vessel speed over ground; segmenting vessel trajectories; obtaining high-quality AIS data with an AIS data anomaly detection; repairing and compressing each vessel trajectory with the Douglas-Peucker algorithm; clustering vessel trajectories with the Quick Bundles algorithm; and identifying a maritime traffic pattern. The invention can efficiently identify vessel traffic patterns and help maritime traffic management departments to accurately identify a traffic situation.

Abstract: Disclosed is a ship image track tracking and prediction method based on ship heading recognition, which includes the following steps: obtaining a ship image data set, preprocessing the data set to obtain a preprocessed data set; inputting the preprocessed data set into the rotating ship detection network for training, obtaining the trained rotating ship detection network, collecting the ship navigation video, and inputting the ship navigation video into the trained rotating ship detection network to obtain the ship detection result; inputting the ship detection result into the rotating ship tracking network and tracking the target ship to obtain the historical trajectory and the heading information of the target ship; inputting the historical trajectory and ship heading information of the target ship into the ship trajectory and ship heading prediction network, and predicting the navigation trajectory and ship heading at sea.

Abstract: The present disclosure provides an electrified wire lifting device, including a locking assembly fixed on a bracket of an electric pole for integrally fixing the device; a connecting assembly having one end used for clamping a wire; a lifting assembly mounted on the top of the locking assembly. The present disclosure can adjust the lateral position, so that the wire is lifted; and the lifted connecting assembly is locked and fixed to avoid shaking thereof.

Abstract: A wearable air conditioner includes a shell for being worn around a wearing portion of a user, a fan and a temperature regulating member disposed in the shell. The shell includes a first air passage, a first accommodating chamber, at least one air outlet in communication with the first air passage, and vent holes in communication with the first accommodating chamber. The temperature regulating member is configured for generating heat energy or cold energy. The temperature regulating member is in thermal connection with a sidewall of the first accommodating chamber. An airflow generated by the fan is capable of entering the first air passage and then exiting the shell via the at least air outlet.

Abstract: The present invention proposes an ensemble deep learning method for identifying unsafe behaviors of operators in maritime working environment. Firstly, extract features of maritime images with the You Only Look Once (YOLO) V3 model, and then enhance a multi-scale detection capability by introducing a feature pyramid structure. Secondly, obtain instance-level features and time memory features of the operators and devices in the maritime working environment with the Joint Learning of Detection and Embedding (JDE) paradigm. Thirdly, transfer spatial-temporal interaction information into a feature memory pool, and update the time memory features with the asynchronous memory updating algorithm. Finally, identify the interaction between the operators, the devices, and unsafe behaviors with an asynchronous interaction aggregation network. The proposed invention can accurately determine the unsafe behaviors of the operators, and thus provide operation decisions for maritime management relevant activities.

Abstract: The present invention proposes a vessel traffic pattern identification method via data quality control and data compression. Firstly, assort a collection of Automatic Identification system (AIS) data points according to Mobile Service Identify (MMSI) code and sort each collection result by time ascending order, and then delete duplicated vessel AIS data points considering time stamp, latitude, longitude and vessel speed over ground, then segment vessel trajectories. Secondly obtain high-quality AIS data with an AIS data anomaly detection and repair and compress each vessel trajectory with the Douglas-Peucker algorithm. Thirdly, cluster vessel trajectories with the Quick Bundles algorithm, and identify maritime traffic pattern. The invention can efficiently identify vessel traffic patterns, and help maritime traffic management departments to accurately identify a traffic situation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracing capital chain information are provided. One of the methods, implemented by a computing device, includes: receiving a query request for querying capital chain information of a target account; parsing the query request to obtain an account identifier of the target account and a query condition; retrieving, based on the account identifier from a blockchain system, a plurality of pieces of capital change information of the target account meeting the query condition, wherein the plurality of pieces of capital change information of the target account are pre-recorded in the blockchain system based on a consensus mechanism; and obtaining the capital chain information by linking the plurality of pieces of capital change information based on information associated with a timeline or a plurality of participants associated with the pieces of capital change information.

Abstract: Multiple input items from extensions of listened-to sites are received and stored in a common format for a given user. Compound conditions that are linked to the commonly formatted data can be analyzed and one or more mapped requests can be constructed from mappings. The mapped requests can then be transmitted to external sites for processing.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracing capital chain information are provided. One of the methods, implemented by a computing device, includes: receiving a query request for querying capital chain information of a target account; parsing the query request to obtain an account identifier of the target account and a query condition; retrieving, based on the account identifier from a blockchain system, a plurality of pieces of capital change information of the target account meeting the query condition, wherein the plurality of pieces of capital change information of the target account are pre-recorded in the blockchain system based on a consensus mechanism; and obtaining the capital chain information by linking the plurality of pieces of capital change information based on information associated with a timeline or a plurality of participants associated with the pieces of capital change information.

Abstract: A method is provided for determining cellular electrical potentials using a state estimator. The state estimator is generated using at least an electrical source model and an electrical conduction model. One or more parameters or states of the state estimator are adjusted based on a measured electrocardiographic and/or a measured body-surface-potential signal. The electrical potential of one or more cells is determined based on the one or more adjusted parameters or states. In one aspect of the present technique, one or more representations of an organ comprising the one or more cells is generated such that the electrical potential or its deriving characteristic of the one or more cells is visually indicated.

Abstract: A semiconductor device with a 7F2 cell structure. In one embodiment, a bit line pitch of about 2?{square root over (3)}F and a word line pitch of about 2F may be configured for the semiconductor device. In one embodiment, each of the active areas of the semiconductor device may be rotated around a corresponding center region to be offset from a corresponding bit line region. A plurality of imaginary equal lateral triangles may be formed by connecting center regions located on adjacent bit line regions and by connecting adjacent center regions located on the same bit line region. In this manner, the active areas for the semiconductor device can be arranged in a close compact pile mode within the cell plane, thereby achieving better cell area utilization. The semiconductor device may be a dynamic random access memory (DRAM).

Abstract: A method is provided for determining cellular electrical potentials using a state estimator. The state estimator is generated using at least an electrical source model and an electrical conduction model. One or more parameters or states of the state estimator are adjusted based on a measured electrocardiographic and/or a measured body-surface-potential signal. The electrical potential of one or more cells is determined based on the one or more adjusted parameters or states. In one aspect of the present technique, one or more representations of an organ comprising the one or more cells is generated such that the electrical potential or its deriving characteristic of the one or more cells is visually indicated.

Abstract: Disclosed are improved compositions and methods for use in gene delivery and expression. A range of surprisingly effective cross-linking agents and peptides are provided, as are peptide-DNA carrier compositions and condensed particles with reduced toxicity and increased stability. Advantageous methods of using such compositions in gene delivery and gene expression are further disclosed, which may be used in combination with biocompatible matrices, carriers and/or targeting agents.