Abstract: A filter assembly includes a filter holder, a first filter set, a second filter set, a third filter set, and a fourth filter set. A first category of filters is capable of changing light effect by rotating. The first category of the filters is served as the first filter set, which is connected to the filter holder, and the light effect is changed by the rotation of the first filter set relative to the filter holder. A second category of filters changes the light effect by two filters relatively rotating or synchronously rotating with the first category of the filters. Regardless of form of rotation, a third category of filters does not change the light effect. The third category of the filters is served as the fourth filter set, which is disposed on a side of the third filter set facing away from the filter holder.

Abstract: The present invention relates to the field of garbage landfill. The present invention discloses a classified landfill device and method for garbage landfills, and the problem solved by the present invention is that the device proposed in the above background absorbs metals in the garbage using a magnet, but when the surface of the magnet has absorbed a large amount of metal, the device needs to be closed to treat the metal adsorbed on the surface of the magnet. The present invention comprises a screening mechanism, crushing mechanism and discharge mechanism. According to the classified landfill device and method for garbage landfill, the second crushing knife is set at an angle to divert the falling garbage to the front and rear sides, so that the two first crushing knives and the second crushing knife cooperate to crush the garbage respectively to avoid excessive accumulation of garbage.

Abstract: A planning system is provided for planning breast feeding or milk expression. An input receives first milk flow information from breast Schedule pumping sessions and second milk flow information from breast feeding sessions. The first and second milk flow information are processed to derive a input schedule, wherein the schedule specifies a combination of future breast pumping and breast feeding sessions. In this way, the system assists a mother in planning her milk production routine to best fit with her schedule as well as providing the best nutrition for the infant.

Abstract: A semiconductor device comprises a printed circuit board (PCB), a plurality of vias, and a communication buss. The PCB comprises a plurality of layers. The first layer of the plurality of layers is configured to receive a first integrated circuit (IC) device and a second IC device. The plurality of vias is disposed within the plurality of layers. A first via of the plurality of vias is configured to be connected to the first IC device, and a second via of the plurality of vias is configured to be connected to the second IC device. The communication bus comprises a first trace connected to the first via. The communication device further comprises a second trace disposed on a third layer of the plurality of layers and connected to the first via. The first trace is disposed on a layer of the plurality of layers other than the second layer.

Abstract: A charging method, a charging apparatus, and a charging system are described. The charging method includes a first control module enabling a first link based on target charging power of a first to-be-charged apparatus and charging power of a first charging apparatus. The first to-be-charged apparatus waits for being charged on a first charging parking space. The first control module corresponds to the first charging apparatus. The first control module enables the first link and charges the first to-be-charged apparatus at a first shared charging power. The first shared charging power includes real-time charging power of at least one first charging apparatus and at least one second charging apparatus.

Abstract: A water path control valve structure for flushing the toilet lid, which is divided into upper and lower valve parts, including a valve body, a linkage valve core and a sealing component. The sealing component is installed on the linkage valve core, and the linkage valve core is arranged in the hollow valve body and one end of the linkage valve core extends out of the valve body. The linkage valve core includes an upper valve core and a lower valve core arranged coaxially, and one end of the upper valve core extends out of the valve body. The upper and lower valve cores are respectively installed with the sealing member.

Abstract: For the purpose of obtaining information about a person's sleep and wake states, an arrangement (100) comprising a video camera (10) and a processing unit (20) is used. The video camera (10) serves for capturing a sequence of video frames during a time period, and the processing unit (20) is configured to process video frames provided by the video camera (10) and to provide output representative of the person's sleep and wake states during the time period. In particular, the processing unit (20) is configured to execute an algorithm according to which (i) a motion value-time relation, (ii) sets of features relating to respective epochs in the motion value-time relation and (iii) classifiers of the respective epochs are determined, wherein the algorithm is further configured to apply an adaptive prior probability determined for the particular person in dependence of the motion values of the respective epochs to the classifiers.

Abstract: A water path control valve structure for flushing the toilet lid, which is divided into upper and lower valve parts, including a valve body, a linkage valve core and a sealing component. The sealing component is installed on the linkage valve core, and the linkage valve core is arranged in the hollow valve body and one end of the linkage valve core extends out of the valve body. The linkage valve core includes an upper valve core and a lower valve core arranged coaxially, and one end of the upper valve core extends out of the valve body. The upper and lower valve cores are respectively installed with the sealing member.

Abstract: The present disclosure pertains to a system configured to detect slow wave sleep and/or non-slow wave sleep in a subject during a sleep session based on a predicted onset time of slow wave sleep and/or a predicted end time of slow wave sleep that is determined based on changes in cardiorespiratory parameters of the subject. Cardiorespiratory parameters in a subject typically begin to change before transitions between non-slow wave sleep and slow wave sleep. Predicting this time delay between the changes in the cardiorespiratory parameters and the onset and/or end of slow wave sleep facilitates better (e.g., more sensitive and/or more accurate) determination of slow wave sleep and/or non-slow wave sleep.

Abstract: In a sensor system (12), output signals of at least one PPG sensor (14) are processed to derive a modified pulse amplitude variation (PAV) value, being modified to take account of a baseline variation of the PPG sensor output signal. In particular, the modified PAV is derived through performing a modification step (42) in which either: a baseline variation of the PPG sensor output is derived and combined with a previously derived PAV, or, a PPG sensor output is first processed to perform baseline variation compensation, in advance of then deriving a PAV from the compensated signal.

Abstract: The present disclosure pertains to a system (10) configured to determine spectral boundaries (216, 218) for sleep stage classification in a subject (12). The spectral boundaries may be customized and used for sleep stage classification in an individual subject. Spectral boundaries determined by the system that are customized for the subject may facilitate sleep stage classification with higher accuracy relative to classifications made based on static, fixed spectral boundaries that are not unique to the subject. In some implementations, the system comprises one or more of a sensor (16), a processor (20), electronic storage (22), a user interface (24), and/or other components.

Abstract: The present disclosure pertains to a system configured to determine one or more parameters based on cardiorespiratory information from a subject and determine sleep stage classifications based on a discriminative undirected probabilistic graphical model such as Conditional Random Fields using the determined parameters. The system is advantageous because sleep is a structured process in which parameters determined for individual epochs are not independent over time and the system determines the sleep stage classifications based on parameters determined for a current epoch, determined relationships between parameters, sleep stage classifications determined for previous epochs, and/or other information. The system does not assume that determined parameters are discriminative during an entire sleep stage, but maybe indicative of a sleep stage transition alone. In some embodiments, the system comprises one or more sensors, one or more physical computer processors, electronic storage, and a user interface.

Abstract: A system for transferring data from a Relational Database Management System (“RDBMS”) to a big data platform and methods for making and using the same. The system can acquire a partitioning execution scheme of a selected table from the RDBMS and submitting partitioned queries from the big data platform to each mapper of partitions. The partitioned queries are generated based on the partitioning execution scheme. The partitioning execution scheme can be acquired by submitting a query explain request to an optimizer of the RDBMS to generating a parallel query plan. The partitioning execution scheme can also be acquired by querying statistics from a statistics catalog of the RDBMS or by user inputs. The system can use RDBMS capabilities and statistics for parallel data fetching. Thereby, the system can increase efficiency of the fetching and can avoid straggling when target data is not evenly distributed and can avoid table query-in-serial.

Abstract: An integrated data processing system with two-tier data caching system and techniques for use thereof in a hybrid RDBMS and BDS computing environment are provided. In one aspect, the system is RDBMS-centric and uses two caches, one on the RDBMS side (1st tier) and the other on the BDS side (2nd tier). In another aspect, a DRDA wrapper on the BDS side enables the RDBMS to communicate with the BDS as if the BDS is another RDBMS. This is advantageous because the RDBMS already supports the DRDA protocol standard. In yet another aspect, the DRDA wrapper performs the data transformation needed when transferring cached objects between the RDBMS cache and BDS cache because RDBMS and BDS save data objects in different formats. This is advantageous because it offloads the computation from RDBMS to BDS therefore reducing the performance impact on RDBMS for its normal query and transaction processing.

Abstract: A document analysis module analyzes electronic media items and identifies regions and region types for the electronic media items. The document analysis module may use rules, typographical feature sets, and cluster analysis to identify regions and region types. The document analysis module may also receive user input and may use the user input to identify regions and region types. The document analysis module may further use template pages to identify regions and region types.

Abstract: The present disclosure pertains to a system (10) configured to determine spectral boundaries (216, 218) for sleep stage classification in a subject (12). The spectral boundaries may be customized and used for sleep stage classification in an individual subject. Spectral boundaries determined by the system that are customized for the subject may facilitate sleep stage classification with higher accuracy relative to classifications made based on static, fixed spectral boundaries that are not unique to the subject. In some implementations, the system comprises one or more of a sensor (16), a processor (20), electronic storage (22), a user interface (24), and/or other components.

Abstract: The present disclosure pertains to a system configured to determine one or more parameters based on cardiorespiratory information from a subject and determine sleep stage classifications based on a discriminative undirected probabilistic graphical model such as Conditional Random Fields using the determined parameters. The system is advantageous because sleep is a structured process in which parameters determined for individual epochs are not independent over time and the system determines the sleep stage classifications based on parameters determined for a current epoch, determined relationships between parameters, sleep stage classifications determined for previous epochs, and/or other information. The system does not assume that determined parameters are discriminative during an entire sleep stage, but maybe indicative of a sleep stage transition alone. In some embodiments, the system comprises one or more sensors, one or more physical computer processors, electronic storage, and a user interface.

Abstract: The present disclosure pertains to a system configured to detect slow wave sleep and/or non-slow wave sleep in a subject during a sleep session based on a predicted onset time of slow wave sleep and/or a predicted end time of slow wave sleep that is determined based on changes in cardiorespiratory parameters of the subject. Cardiorespiratory parameters in a subject typically begin to change before transitions between non-slow wave sleep and slow wave sleep. Predicting this time delay between the changes in the cardiorespiratory parameters and the onset and/or end of slow wave sleep facilitates better (e.g., more sensitive and/or more accurate) determination of slow wave sleep and/or non-slow wave sleep.

Abstract: An actigraphy method includes receiving a physiological parameter signal as a function of time for a physiological parameter other than body motion (such as electrocardiography or a respiration monitor), computing a body motion artifact (BMA) signal as a function of time from the physiological parameter signal (for example, using a local signal power signal, a local variance signal, a short-time Fourier transform, or a wavelet transform over epochs of duration on order a few minutes or less), and computing an actigraphy signal as a function of time from the BMA signal, for example by applying a linear transform to the BMA signal and optionally applying filtering such as median removal and/or high-pass filtering.