Abstract: Various embodiments herein provide techniques related to sixth generation (6G) system architecture and functions. For example, embodiments may relate to one or more of: Design principle and system architecture; Orchestration frontend service; Dynamic device-network computing scaling; RDMA over radio; Cloud workload offloading to network; Computing-embedded air interface; Service chain aware transport; and/or Enabling Al capabilities. Other embodiments may be described and/or claimed.

Abstract: Embodiments of the present disclosure describe methods and apparatuses for measurements and reports in integrated access and backhaul networks. An integrated access and backhaul (IAB) node is configured to: receive radio resource control (RRC) signaling from a IAB donor node, the RRC signaling to include configuration information with respect to reference signals of the IAB donor node or one or more neighboring IAB nodes; perform one or more measurements based on the reference signals of the donor node or the one or more neighboring IAB nodes; and transmit measurement report to the IAB donor node, the measurement report to include an indication of results of the one or more measurements.

Abstract: Various embodiments herein include techniques to indicate a reference subcarrier spacing (SCS) in a soft resource availability configuration for an integrated access and backhaul (IAB) distributed unit (DU)/mobile terminal (MT). For example, the reference SCS may be included in soft resource availability radio resource control (RRC) configuration AvailabilityCombinationsPerCell. Additionally, embodiments include mechanisms for dynamic soft availability indication with paired spectrum operation (e.g., frequency division duplex (FDD) operation). Other embodiments may be described and claimed.

Abstract: An apparatus and system are described to provide functions and procedures in a data-centric infrastructure (DCI). The logical architecture includes an infrastructure orchestration function and controller. Interactions between the infrastructure orchestration function and controller include a function request to form or release a logical computing node, or modify the logical computing node through addition or removal of at least one of a function-dedicated computing (FDC) function, a data plane (DP) function, or a function-dedicated network (FDN) function to the logical computing node. The controller configures the FDC/DP/FDN functions and sends a response indicating completion of operations performed by the controller that are related to the function request.

Abstract: A data-centric network and non-Real-Time (RT) RAN Intelligence Controller (RIC) architecture are described. The data-centric network architecture provides data plane functions (DPFs) that serve as a shared database for control functions, user functions and management functions for data plane resources in a network. The DPFs interact with control plane functions, user plane functions, management plane functions, compute plane functions, network exposure functions, and application functions of the NR network via a service interface. The non-RT RIC provides functions via rApps, manages the rApps, performs conflict mitigation and security functions, monitors machine learning (ML) performance, provides a ML model catalog that contains ML model information, provides interface terminations and stores ML data and Near-RT RIC related information in a database. An ML training host trains and evaluates ML models in the catalog, obtains training and testing data from the database, and retrains and updates the ML models.

Abstract: Some embodiments of this disclosure include apparatuses and methods for supporting integrated access and backhaul (IAB) networks. IAB nodes may be configured to broadcast in-raster and off-raster synchronization signal blocks (SSBs) for establishing communications with mobile devices and/or user equipment (UE). The SSBs may provide control resource set (CORESET) data used for establishing a communication channel between a UE and an IAB node. The CORESET data may be configured to support the broadcast of off-raster SSBs in wireless communication systems. In some embodiments, the in-raster SSB and the off-raster SSB may share the same CORESET. In this case, the IAB may modify a bit pattern of configuration table corresponding to the shared CORESET and broadcast the in-raster SSB and the off-raster SSB while including the modified bit pattern.

Abstract: At least one processor identifies dependency relationships among libraries in a repository of libraries. Using the dependency relationships among libraries, at least one machine learning model can be created that predicts with a confidence value a dependency between a given library and a target library. An L layer tree-like graph can be created, using the dependency relationships among libraries and an application package. L can be configurable. Versions of the libraries to use can be determined by running the at least one machine learning model for each pair of nodes having a dependency relationship in the L layer tree-like graph, the at least one machine learning model identifying the dependency relationship with a confidence value, where pairs of nodes having largest confidence values are selected as the versions of the libraries to use in the application package.

Abstract: Technology for an Information Centric Networking gateway (ICN-GW) operable to modify an ICN message received from a user equipment (UE) in a Fifth Generation (5G) cellular network is disclosed. The ICN-GW can decode the ICN message received from the UE via a Next 5 Generation NodeB (gNB) and an ICN point of attachment (ICNPoA). The ICN-GW can modify the ICN message to produce a modified ICN message. The ICN-GW can encode the modified ICN message to route the modified ICN message to a data network.

Abstract: A layer freezing and data sieving technique used in a sparse training domain for object recognition, providing end-to-end dataset-efficient training. The layer freezing and data sieving methods are seamlessly incorporated into a sparse training algorithm to form a generic framework. The generic framework consistently outperforms prior approaches and significantly reduces training floating point operations per second (FLOPs) and memory costs while preserving high accuracy. The reduction in training FLOPs comes from three sources: weight sparsity, frozen layers, and a shrunken dataset. The training acceleration depends on different factors, e.g., the support of the sparse computation, layer type and size, and system overhead. The FLOPs reduction from the frozen layers and shrunken dataset leads to higher actual training acceleration than weight sparsity.

Abstract: Disclosed is a method for analyzing and predicting a main fracture orientation of a mining face based on microseismic monitoring, including: collecting microseismic data generated by a coal rock burst; carrying out a hierarchical clustering on the microseismic data to obtain target hypocenter groups, of which the target hypocenter groups comprise several types of hypocenters; acquiring focal mechanism solutions of all the target hypocenter groups in the target hypocenter group, and acquiring a hypocenter azimuth and a hypocenter dip based on the focal mechanism solutions; and carrying out the hierarchical clustering on a hypocenter location, the hypocenter azimuth and the hypocenter dip, and predicting the main fracture orientation of the mining face.

Abstract: A method and an apparatus of screen cast control. The method includes: establishing a first data link with a first device, in which, the first device includes information to be cast; acquiring the information to be cast from the first device based on the first data link; and transmitting the information to be cast to a data reception apparatus to trigger the data reception apparatus to cast the information to be cast to a second device.

Abstract: A rock burst hazard prediction method based on vibration wave energy attenuation characteristics of a mine earthquake cluster is provided. The rock burst hazard prediction method comprehensively considers the static load and dynamic load effects of the vibration waves of the mine earthquake cluster based on vibration wave energy attenuation characteristics of the mine earthquake cluster. The static load strength index and the dynamic load strength index involved in the method have clear physical meanings. A comprehensive prediction index calculation model proposed based on the dynamic and static load superposition principle of rock burst occurrence is clear, and the method has a firm theoretical support as well as strong universality and operability. Meanwhile, the updating and adjustment of weights are rapid and the objective judgment and prediction of the final comprehensive prediction results are efficient, and the high-energy mine earthquake and impact behavior area can be effectively predicted.

Abstract: Polymer combinations may be incorporated in a hydroalcoholic solution to improve fragrance longevity. The polymer combination may include at least one plant-based hydrophobic polymer, a hydrophilic polymer, a third cosmetically acceptable sensory polymer, and a fragrance oil in hydroalcoholic solution having prolonged fragrance intensity. The tri-polymer combination may synergistically create a film mesh on the surface of the skin that locks in the fragrance ingredients. The combination may provide an unexpected film forming property with the fragrance oil in hydroalcoholic solution, thereby providing a thin film matrix and adhesive power for the fragrance ingredients to attach/remain on the skin.

Abstract: A secondary battery includes a positive electrode, a negative electrode, and an electrolyte. The positive electrode includes a positive-electrode active substance layer, the positive-electrode active substance layer contains a pre-lithiation agent, and a molecular formula of the pre-lithiation agent is LixNiaCu1?a?bMbO2, where 1?x?2, 0<a<1, and 0?b <0.1, and M is selected from one or more of Zn, Sn, Mg, Fe, and Mn. The negative electrode includes a negative-electrode active substance layer including graphite and silicon-containing material. The electrolyte contains fluoroethylene carbonate (FEC). A weight percentage of the pre-lithiation agent in the positive-electrode active substance layer, a weight percentage of silicon content in the negative-electrode active substance layer, and a weight percentage of FEC in the electrolyte satisfy 0.2×WSi?WFEC?7.5%?0.6×WL.

Abstract: A fragrance composition is provided. The fragrance composition comprises one or more fragrance ingredients, at least one solubilizer, and acceptable carriers, and the composition is substantially free of ethanol. The composition is a perfume, perfume water, eau de toilette, eau de cologne, eau de parfum, fragrance mist, or air freshener. The composition may be personalized and may also provide a sensory experience.

Abstract: A secondary battery includes a positive electrode, a negative electrode, and an electrolyte. The positive electrode includes a positive-electrode active substance layer, the positive-electrode active substance layer contains a pre-lithiation agent, and a molecular formula of the pre-lithiation agent is LixNiaCu1?a?bMbO2, where 1?x?2, 0<a<1, and 0?b <0.1, and M is selected from one or more of Zn, Sn, Mg, Fe, and Mn. The negative electrode includes a negative-electrode active substance layer including graphite and silicon-containing material. The electrolyte contains fluoroethylene carbonate (FEC). A weight percentage of the pre-lithiation agent in the positive-electrode active substance layer, a weight percentage of silicon content in the negative-electrode active substance layer, and a weight percentage of FEC in the electrolyte satisfy 0.2×WSi?WFEC?7.5%-0.6×WL.

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: A robotic arm includes a base, a first robotic arm, a second robotic arm, a robotic hand and a cigarette holder connected in sequence. The cigarette holder includes a cigarette insertion hole and a cigarette smoking tube. The cigarette smoking tube is connected to a smoking simulator. The robotic arm further includes at least one air exhausting hole. The air exhausting hole is located around the cigarette holder and communicated with an air exhauster through an air exhausting pipe. The robotic arm swings to control the cigarette holder to carry a cigarette from a smoking position to an ash flicking position. Airflow is formed near the air exhausting hole by means of air exhaustion, so as to simulate influences of a wind speed in an outdoor environment on the columnar ash in the cigarette smoking process of the human body.

Abstract: A resource configuration method and apparatus for heterogeneous cloud services are provided. The method may include: establishing a basic model with a general structure for at least two heterogeneous cloud services, where the basic model comprises a trend model and a periodic model; determining a cloud service in the at least two cloud services as a target cloud service, and acquiring a target historical data set of the target cloud service; training the trend model and the periodic model using the target historical data set; generating a target prediction model corresponding to the target cloud service based on the trained trend model and the trained periodic model; and generating, based on the target prediction model, a resource amount demanded by the target cloud service in a future time period, and configuring resources for the target cloud service according to the demanded resource amount.

Abstract: A smoking path simulation system includes a case, the robotic arm fixedly provided in the case and a cigarette holder mounted at a working end of the robotic arm, and further includes a feeding device, a cigarette tapping device and a cigarette lighting device provided in the case and located at a periphery of the robotic arm, as well as an image acquisition device mounted at the working end of the robotic arm. With the smoking path simulation system, an action path of smoking a cigarette by a consumer may be simulated, and consistency of the simulated action paths may be guaranteed, thus effectively improving precision of test of indexes of a cigarette-combustion performance, such as cigarette-combustion ash integration characteristics, or the like.