Intel Corporation

General Electric Company

Huawei Technologies Co., Limited

Emc IP Holding Company LLC

Sap Se

Dell Products Inc.

Semiconductor Manufacturing International (shanghai) Corporation

Semiconductor Manufacturing International (beijing) Corporation

St-ericsson Sa

Delta Electronics (shanghai) Co., Ltd

Evonik Operations Gmbh

Momentive Performance Materials Gmbh

Entropic Communications, Inc.

Beijing Zhigu Rui Tuo Tech Co., Ltd

Semiconductor Manufacturing (beijing) International Corporation

Dong Wang

Ke Han

Stephan Jourdan

Mingqiu Sun

Prakash N Iyer

Lu Lei

Xiaoyun Zang

Andrzej Mialkowski

Hua Zhang

Jun Chen

Yu Chen Zhou

Dandan Zhang

Tao Yang

Wei Zhu

Chen Xiao Wang

James K Pickett

Ran Xu

Lei Li

Jun Yang

Meng Wang

Shashwat Srivastav

Wenqing Peng

Brian S Morris

Lu Wang

Jing Feng

Bruce Querbach

Ao Sun

Jie Zhou

Sriram Sankaran

Woojong Han

Gary Jialei Wu

Jun Luo

Jiande Jiang

Mohamed Arafa

Yu Teng

Xiaobo Huang

Jian Sun

Meng Gao

Mani Prakash

Jinjing Zhang

John K Grooms

Lei Bai

Lev Yitzhak Lavy

Bin Zhu

Song Zhang

Edward L Payton

Shi Hu

Ronnie Yu Cai

Erwu Liu

Lexiong Peng

Yi Wu

Xiao Yan Bao

Tian Hua Dong

Guang Ning Li

Luzhou Xu

Xiaodong Cai

Jinhua Jiang

Jingxian Kuang

Yehiel Shilo

Jun Zhang

Zhixin Xu

Jialei Wu

Qin Duan

Aaron Yurun Wu

He Han

Xiaoyong Guo

Shasha Su

Yundai Chen

Yang Jiang

Yuan-Chang Huang

Qinghua Ye

Fangdao Wang

Maojun Cai

Guangyi Zhu

Yong Wu

Chun Wang

Baoshi Han

Yun Long

Qian Zhai

Nolan Shu Zhu

Emily Kang

Qiquan Chen

Shunxi Huang

Yinghua Chen

Alex Xingang Wang

Dror Lederman

Yu Zhang

Xiaofei Shi

Jiani Bai

Zhengqing Zhang

Yufang Liu

Vicky Huiqin Sheng

Bin Lei

Bo Bai

Xinyu Qu

Xiangyu Pang

Baiquan Liu

Longxiang Su

Hongli He

The subject technology relates to recovering an object in a storage system. For instance, an object in a storage system is recovered by parsing object metadata associated with the object from a log in the storage system and storing the parsed object metadata in a storage space. In response to receiving a request to recover the object, the parsed object metadata from the storage space is retrieved. A linkage can be reestablished to a chunk corresponding to the object based on the retrieved object metadata. In this way, space reclamation is not impacted during recovery for the object, thereby increasing the space utilization. Furthermore, the time spent in the recovery process is reduced, and the success rate of object recovery is increased.

Method, device, and computer program product for recovering object in storage system

Methods and apparatus to implement always-on context sensor hubs for processing multiple different types of data inputs are disclosed. An examples apparatus includes a first processor core to implement a host controller, and a second processor core to implement an offload engine. The host controller includes first logic to process sensor data associated with an electronic device when the electronic device is in a low power mode. The host controller is to offload a computational task associated with the sensor data to the offload engine. The offload engine includes second logic to execute the computational task.

Methods and apparatus to implement always-on context sensor hubs for processing multiple different types of data inputs

A heat sink includes a substrate, a heat dissipation structure, and a refrigerating medium. The heat dissipation structure includes a connection part and a fin part that are of an integrated structure, the connection part is connected to the substrate, the fin part and the connection part are disposed at an included angle, a fin root of the fin part is connected to the connection part, and a fin top of the fin part is far away from the connection part, a cooling flow channel is disposed in the heat dissipation structure, and at least a part of the cooling flow channel is located in the fin part. The refrigerating medium flows in the cooling flow channel to dissipate heat from the substrate. A heat conduction capability of the heat sink can therefore be improved, and heat dissipation reliability is ensured.

Heat sink and communication device

A process for producing binderless formaldehyde-free fiberboard and coproducing fulvic acid from straw. All-element purification, activation, saccharification and separation are carried out on the non-wood fiber raw material through boiling and defibering to obtain primarily activated lignin, purified and activated fibers, monosaccharides of hemicellulose and non-wood fibers, and fulvic acid. Deep activation is carried out on activated lignin. The binderless formaldehyde-free fiberboard is produced by using sufficiently activated lignin and low-molecular-weight monosaccharides as a hardener and binder. By sufficiently activating the lignin, comprehensive utilization of straw fiber as resources is realized, and the special requirements of binderless formaldehyde-free fiberboard for high-quality fibrous raw material and high-activity lignin are met. The boiled dilute black liquor was subjected to extraction and concentrated to obtain fulvic acid, thereby avoiding pollution caused by pulping and board production. The distilled water obtained by carrying out evaporative concentration on the boiled dilute black liquor is reused.

Process for producing binderless formaldehyde-free fiberboard and coproducing fulvic acid from straw

A gel composition, in particular a gelled electrolyte, comprising: i) fumed alumina particles, wherein the mean primary particle size of the particle is from 5 to 50 nm and the BET specific surface area is from 40 to 400 m/g; ii) at least two organic solvents; and iii) a lithium salt; wherein the amount of the alumina particles is 0.2-10% by weight based on the total weight of the gel composition. A method to prepare a gelled electrolyte, a Li-ion battery, a Li-ion battery and a device are also provided.

Gelled electrolyte and preparation method thereof

The disclosure discloses a cooling system and an automatic coolant injection method for the cooling system. The cooling system includes a heat exchanger; a converter; a liquid cooling pipeline; a coolant tank with a liquid-level sensor; an injection pump for injecting coolant from the coolant tank into the liquid cooling pipe; and a control unit. When liquid level of the coolant tank reaches an upper threshold, the injection pump injects coolant into the liquid cooling pipeline. When pressure of the coolant in the liquid cooling pipe reaches an upper static liquid pressure threshold, the control unit turns off the injection pump, and executes the turning-on and turning-off operations of the circulation pump with a preset circulation period. The circulation pump forces the coolant to circulate in the liquid cooling pipeline when being turned on.

Cooling system and automatic coolant-injection method for cooling system

Described herein is computing device for machine learning based risk analysis and decision automation in intelligent underwriting. In accordance with one aspect of the framework, input data of underwriting cases is preprocessed and used to train a predictive model. The predictive model may be cross-validated and tested for accuracy. The predictive model may then be applied to a current underwriting case in order to automatically identify and assess associated risks and provide a decision recommendation.

Computing device for machine learning based risk analysis

The present application relates to a technical field of semiconductors, and discloses a device having a physically unclonable function, a method for manufacturing same, and a chip using same. The may method include: providing a substrate structure that comprises: a substrate comprising encryption device areas and reference device areas; at least one first gate structure on the encryption device areas and used in an encryption device and a first spacer layer on a side wall of the first gate structure; a first interconnection layer on the encryption device areas and the first spacer layer; at least one second gate structure on the reference device areas and used in a reference device and a second spacer layer on a side wall of the second gate structure; and a second interconnection layer on the reference device area and the second spacer layer; performing first ion injection, so as to introduce first impurities into the first interconnection layer; performing second ion injection, so as to introduce second impurities into the first and second interconnection layers, where a password of the device having a physically unclonable function is determined according to a drain current of each encryption device and a drain current of a reference device corresponding to the encryption device.

Device having physically unclonable function, method for manufacturing same, and chip using same

Embodiments of the present disclosure provide a method, a device and a computer program product of storage management. According to example implementations of the present disclosure, in response to data to be replicated from a first storage zone to a second storage zone, a utilization rate of resources associated with the replication is determined; the utilization rate of the resources is compared with a predetermined threshold utilization rate; and in response to the utilization rate of the resources being less than the threshold utilization rate, the replication of the data is initiated from the first storage zone to the second storage zone. Therefore, the present disclosure can automatically adjust replication behaviors for various scenarios, thereby realizing a more flexible data replication policy, and enabling more efficient use of various resources.

Data storage management devices using utilization rates and methods for data storage management using utilization rates

A framework for generating optimized recommendations is described herein. For example, an optimized customer recommendation engine is described herein. Customer data is collected and pre-processed into a data model. Recommendations are calculated and provided by an aggregated method. The aggregated output is generated based on the outputs of a real-time prediction model and an offline modeling process. The real-time prediction model may be an online modeling training technique based on support vector machines (SVM) to classify customers and provide quick recommendations. The offline modeling process may be a learning process based on a back-propagation artificial neural network (BP-ANN) to provide with reliable predictions. Validation may be introduced to evaluate the accuracy of the recommendation model.

Optimized recommendation engine

A sensor interface circuit enables signal reconstruction on data received from a sensor prior to sending the data to various sensor clients. Multiple sensor clients have different frequencies configured to receive sensor data. The sensor interface circuit performs signal reconstructions including data interpolation to generate interpolated data signal having frequencies corresponding to the different frequencies configured for the different sensor clients. Signal reconstruction can also include filtering the data. The sensor interface circuit sends the reconstructed data to the multiple clients in accordance with their different frequencies.

Sensor signal reconstruction in a sensor hub

The present application provides a network connection establishment method, a terminal device, and a node device, and relates to the self-organizing network field. The method comprises: determining at least one performance parameter of a node device in a self-organizing network; and determining, according to at least the at least one performance parameter, whether to establish a network connection with the node device. According to the method, the terminal device, and the node device, whether to establish a network connection with a node device in a self-organizing network may be determined according to at least one performance parameter of the node device, which can thereby improve overall performance of the self-organizing network, and effectively avoid a problem that some node devices become a network bottleneck.

Network connection establishment method, terminal device, and node device

Memory sharing techniques are provided for offloading an application from a host processor to an integrated sensor hub (ISH). A methodology implementing the techniques according to an embodiment includes allocating a shared region of memory to be accessed by the host processor and by the ISH, in connection with the execution of a location application. The method also includes storing a location database in the shared region of memory. The location database is divided into segments, where each segment is associated with an area, for example, defined by a range of latitudes and longitudes. The method further includes transferring, through a direct memory access (DMA), one or more of the segments between the shared memory region and a second memory associated with the ISH. The method further includes executing at least a portion of the location application on the ISH, based on the data segments stored in the second memory.

Memory sharing for application offload from host processor to integrated sensor hub

Growing community of inventors

Shanghai, China

Dong Wang