Abstract: Disclosed are an ionic liquid, an electrolyte including the ionic liquid, and a lithium secondary battery including the same. The ionic liquid is capable of forming a film having high ionic conductivity on an anode upon reductive decomposition of cations contained therein, and delaying the decomposition of anions.

Abstract: The present invention relates to an air purifier in which vertical rotation and horizontal rotation are performed simultaneously and independently and which has a stable structure.

Abstract: Examples include detecting objects and determining a set of features for the objects. Examples include receiving a first image input, generating a number of feature maps from the first image input using a number of convolution filters, generating a first number of fully connected layers directly based on the number of feature maps, and detecting a number of objects in the first image and determining a set of features for each object from the first number of fully connected layers.

Abstract: Systems and methods for mitigating cyberattacks are described herein. A computing system can detect illegitimate network traffic associated with a cyberattack in network traffic. The computing system can determine an amplification factor of the cyberattack based in part on a probability distribution of the illegitimate network traffic. The computing system can determine a filter to demotivate a generation of the illegitimate network traffic. The determined filter can reduce the amplification factor of the cyberattack. The computing system can implement the determined filter to block the illegitimate network traffic.

Abstract: Systems and methods for mitigating cyberattacks are described herein. A computing system can detect illegitimate network traffic associated with a cyberattack in network traffic. The computing system can determine an amplification factor of the cyberattack based in part on a probability distribution of the illegitimate network traffic. The computing system can determine a filter to demotivate a generation of the illegitimate network traffic. The determined filter can reduce the amplification factor of the cyberattack. The computing system can implement the determined filter to block the illegitimate network traffic.

Abstract: Examples described herein provide method and systems for high spatial reuse for mmWave Wi-Fi. Examples may include identifying, by a network device, a plurality of millimeter-wave (mmWave) propagation paths between the network device and a set of neighboring devices including a target neighboring device, based on power delay profiles (PDPs) of beam training frames received by the network device from each of the neighboring devices using a plurality of mmWave beams, and determining, by the network device for each of neighboring devices in the set, an estimated angle of arrival (AoA) of each identified mmWave propagation path between the network device and the neighboring device, based on the PDPs of the received beam training frames from the neighboring device.

Abstract: A video annotation system for deep learning based video analytics and corresponding methods of use and operation are described that significantly improve the efficiency of video data frame labeling and the user experience. The video annotation system described herein may be deployed at a network edge and may support various intelligent annotation functionality including annotation tracking, adaptive video segmentation, and execution of predictive annotation algorithms. In addition, the video annotation system described herein supports team collaboration functionality in connection with large-scale labeling tasks.

Abstract: Embodiments are directed to passive multi-person location tracking utilizing signal polarization. An embodiment of a system includes multiple receivers, including a first receiver at a first location and a second receiver at a second location, each receiver including one or more receiver antennas to receive polarized radio signals; a transmitter located at a third location to transmit polarized radio signals, the transmitter including antennas for a first signal at a first polarization direction and a second signal at a second, different polarization direction; and a processing system to receive channel state information from each receiver, and to track a plurality of individuals utilizing the received channel state information, wherein the tracking of the plurality of individuals is based at least in part on analysis of a polarization parameter and a set of location parameters generated for each of multiple reflection paths based on the channel state information.

Abstract: A video annotation system for deep learning based video analytics and corresponding methods of use and operation are described that significantly improve the efficiency of video data frame labeling and the user experience. The video annotation system described herein may be deployed at a network edge and may support various intelligent annotation functionality including annotation tracking, adaptive video segmentation, and execution of predictive annotation algorithms. In addition, the video annotation system described herein supports team collaboration functionality in connection with large-scale labeling tasks.

Abstract: Provided are a pickering emulsion including: 0.01-20 wt % of particles having an average particle diameter of 10 nm-100 ?m, and 0.01-20 wt % of a non-ionic water-soluble polymer, wherein the particles are positioned on an oil droplet surface, and a method of preparing the same.

Abstract: Examples include detecting objects and determining a set of features for the objects. Examples include receiving a first image input, generating a number of feature maps from the first image input using a number of convolution filters, generating a first number of fully connected layers directly based on the number of feature maps, and detecting a number of objects in the first image and determining a set of features for each object from the first number of fully connected layers.

Abstract: Examples described herein provide method and systems for high spatial reuse for mmWave Wi-Fi. Examples may include identifying, by a network device, a plurality of millimeter-wave (mmWave) propagation paths between the network device and a set of neighboring devices including a target neighboring device, based on power delay profiles (PDPs) of beam training frames received by the network device from each of the neighboring devices using a plurality of mmWave beams, and determining, by the network device for each of neighboring devices in the set, an estimated angle of arrival (AoA) of each identified mmWave propagation path between the network device and the neighboring device, based on the PDPs of the received beam training frames from the neighboring device.

Abstract: Systems and methods described herein provide a centralized solution for interference mitigation that focuses on efficient spectrum management. Wireless Access Points (APs) collect interference measurements for wireless channels and generate corresponding interferer airtime estimates. The APs also determine Packet Error Rates (PERs) for wireless client devices currently being served via the channels by the APs. The APs send the interferer airtime measurements and the PERs to a centralized controller. If an interferer airtime estimate and a PER for a particular channel satisfy predefined threshold conditions, the controller modifies an allocation of wireless bandwidth for an AP that is currently using the channel and sends a message to the AP indicating how the allocation has been modified.

Abstract: Enhanced spatial reuse of radio spectrum in WLAN operation is described. An example of a storage medium includes instructions for connecting with multiple client devices at an access point in a basic service set (BSS) for transmission over a channel in a network environment; estimating a communication quality value for each of the client devices based at least in part on received signal strength values at the access point and at the client device; prioritizing spatial reuse operation based on the estimated communication quality values for the client devices; establishing a clear channel assessment (CCA) threshold for a spatial reuse operation in a transmission to a first client device, the first client device being selected based on an estimated communication quality value; and dynamically adjusting the CCA threshold based at least in part on success or failure of data transmission between the access point and the first client device.

Abstract: A skin external composition containing 1,2,3,4,6-penta-O-galloyl-?-D-glucose (hereinafter referred to as “PGG”) and its use to improve moisture balance of skin are disclosed. The skin external composition, due to containing PGG, stimulates the formation of filaggrin in keratinocytes, increases loricrin and involucrin expression, thereby stimulating the formation of a normal keratin layer, and as a result, can strengthen the skin barrier function to provide an excellent skin moisturization improving effect. Thus, the composition is effective in improving moisture balance of skin. A method for moisturizing the skin using the composition is also disclosed.

Abstract: Examples provide accurate localization of an object by using a network device. Examples include determining distances between transmitter and receiver antennas of a network device, transmitting, by the transmitter antenna, a wireless signal having a transmit power, receiving, by the receiver antennas, a reflected signal that reflects off of an object, receiving, by the receiver antennas, a static signal that does not reflect off of the object, and processing the static and reflected signals and determining the location of the object, based on the distances between the transmitter and the receiver antennas and the transmit power.

Abstract: Enhanced spatial reuse of radio spectrum in WLAN operation is described. An example of a storage medium includes instructions for connecting with multiple client devices at an access point in a basic service set (BSS) for transmission over a channel in a network environment; estimating a communication quality value for each of the client devices based at least in part on received signal strength values at the access point and at the client device; prioritizing spatial reuse operation based on the estimated communication quality values for the client devices; establishing a clear channel assessment (CCA) threshold for a spatial reuse operation in a transmission to a first client device, the first client device being selected based on an estimated communication quality value; and dynamically adjusting the CCA threshold based at least in part on success or failure of data transmission between the access point and the first client device.

Abstract: Examples include detecting objects and determining a set of features for the objects. Examples include receiving a first image input, generating a number of feature maps from the first image input using a number of convolution filters, generating a first number of fully connected layers directly based on the number of feature maps, and detecting a number of objects in the first image and determining a set of features for each object from the first number of fully connected layers.

Abstract: Systems and methods are provided for predicting handover events in wireless communications systems, such as 4G and 5G communications networks. Machine learning is used to refine the predicting of handover events, where per-cell local handover prediction models may be trained by mobile user devices operating in the wireless communications systems. Parameters gleaned from the localized training of the per-cell local handover prediction models may be shared by multiple mobile user devices and aggregated by a global handover prediction model, which in turn may be used to derive refined per-cell local handover prediction models that can be disseminated to the mobile user devices.

Abstract: Embodiments are directed to interference-aware link-rate adaptation for wireless communication. An embodiment of a storage medium includes instructions to operations including receiving data regarding wireless signals received by an access point, the access point to provide Wi-Fi communication, the wireless signals being communicated in an unlicensed radio spectrum; performing spectral analysis of the received wireless signals to identify a channel of an LTE (Long-Term Evolution) signal; and upon determining that energy level of the LTE signal is below an energy detection (ED) level and that the channel is a primary Wi-Fi channel for the access point, adapting a link rate for the access point based on channel state information for the channel.