Sap Se

Paypal, Inc.

China Petrochemical Corporation

Other

Koninklijke Philips Corporation N.V.

East China University of Science and Technology

Intel Corporation

Huawei Technologies Co., Limited

Exxonmobil Chemical Patents Inc.

Conopco, Inc.

Delta Electronics (shanghai) Co., Ltd

Celanese International Corporation

Shanghai Moruan Telecom Technology Co., Ltd.

Shanghai Fourier Intelligence Co., Ltd

Qilu Pertrochemical Co.

Xin Li

Lianghua Wu

Pengshan Zhang

Leiyi Yao

Jun Zhang

Xiaohan Yun

Chongjun Zhao

Philippe Nemery

Xiuzhen Qian

Ying Yue

Likun Hou

Sudhin Datta

Wei Zhang

Fei Li

Weiqiang Zhang

Chao B Zhang

Hong Chen

Antonios K Doufas

Jian Xu

Rami El-Charif

Kun Peng Wang

Rohan A Hule

Yuhua Guo

Connie Wong Yang

Zhenyin Yang

Yuan-Ju Chen

Jan Kalfus

Jean-Christophe Martin

Jiang Xu

Timothy Gordon Kimmet

Alan Honkwan Ngai

Yuehao Wu

Jie Gu

Krishnan Anantha Narayana Iyer

Abdul M Jangda

Amitava Pramanik

Li Ding

Junhua Zhao

Feng Li

Raymond Yao

Weizheng Zhou

Haoran Zhang

Wan Kei Ricky Ha

Meng Zang

Quin Zuo

Zhe Huang

Andrew Takacs

Declan N Whelan

Jianbo Dong

Renjun Yu

Hongyao Liu

Deborah Jean Davis

Taiping Yu

Krassimir Iordanov Doynov

Harald Hengelbrock

Rajesh Virupaksha Munavalli

Xiangmao Dong

Shudi Min

Junsheng Tan

Yuliang Zhou

Wanli Wang

Shiqiang Hao

Robert Leslie Chidlow

Fushan Tang

Xintang Zhang

Yuxiu Wang

Qiuyun Zong

Yongfang Tan

Ben Xu

Zhaoming Tian

Yanwei Yang

Jianzhong Shen

Renhua Liang

Yao-Tseng Tseng

Haoyang Jia

Jinrong Yao

Han Cao

Zhengan Chen

Aizhi Yang

Axelle Stephanie Maud Ducos

Zhengzhong Shao

Zhuomin Zhang

Muzi Shitian

Weifeng Ma

Jinchao Zhang

Linghua Wu

Xingya Guan

Guojun Wang

Jiehui Xu

Huazheng Zhong

A logistics management method based on the Internet of Things includes: acquiring a packaging image of currently transported goods, information of a departure point of the currently transported goods, and information of an arrival point of the currently transported goods; classifying the currently transported goods to obtain a category of the currently transported goods; matching corresponding first transport vehicles according to the category of the currently transported goods and determining a driver pool corresponding to each of the first transport vehicles; and calculating a final transportation score corresponding to each driver based on historical transportation trajectories of each driver in the driver pool and a historical transportation score of each driver in each historical transportation process, and selecting a driver of the highest final transportation score to transport the currently transported goods.

Logistics management method, device, apparatus and readable storage medium based on internet of things

The present application relates to the technical field of robots, and discloses a robot control method based on a physical engine. The method includes: obtaining the current first resultant force to which a robot is subjected and the current second resultant force to which a virtual object in a virtual environment constructed by a physical engine is subjected; determining the current motion information corresponding to the current first resultant force and the current second resultant force according to the corresponding relationship between the force and the motion information; wherein the current second resultant force is determined by the physical engine according to the previous motion information corresponding to the previous first resultant force of the robot and the previous second resultant force of the virtual object, and the current motion information enables the current first resultant force and the current second resultant force to tend to be synchronized.

Robot control method and device based on physical engine, and rehabilitation robot

A system performs operations that include receiving, via first computing environment, a request to process text data using a first natural language processing (NLP) model. The operations further include accessing configuration data associated with the NLP model, where the configuration data generated using a domain specific language that supports a plurality of preprocessing modules in a plurality of programming languages. The operations also include selecting, based on the configuration data, one or more preprocessing modules of the plurality of preprocessing modules, generating, based on the configuration data, a preprocessing pipeline using the one or more preprocessing modules, and generating preprocessed text data by inputting the text data into the preprocessing pipeline. The preprocessed text data is provided to the first NLP model.

Framework for managing natural language processing tools

Techniques are disclosed for storing and retrieving large amounts of data in a non-relational database using sort keys. A server computer system may receive a request for raw data specifying a start timestamp and an end timestamp. The server determines a start key and an end key for performing a query on a distributed non-relational database storing key-value pairs, where the determining is based on the start timestamp and the end timestamp. The server may compare the start key and the end key to a sort key included in row keys of key-value pairs stored in the non-relational database. Based on the comparing, the server retrieves one or more rows of raw data from the non-relational database. The server generates a graphical representation of the one or more rows of raw data retrieved from the non-relational database. The disclosed techniques may advantageously improve the efficiency of a database management system.

Database management using sort keys

The invention relates to a cosmetic composition comprising a low molecular weight silk fibroin and a cosmetically acceptable carrier; wherein said low molecular weight silk fibroin comprises at least 85 parts by weight peptides of molecular weight less than 2500 Da, where amino acid sequence of at least 50 wt % of said peptides is GAGY, GAGAGAGY, GAGVGAGY or AWSSESDF and where said silk fibroin is produced by a process comprising the steps of: (i) mixing an aqueous solution comprising 0.01 to 20 wt % of a high molecular weight silk fibroin of weight average molecular weight 6 to 100 KDa with ochymotrypsin at temperature of 25 to 45° C., under pH of 6 to 9 for 4 to 24 hours; where ratio of said high molecular weight silk fibroin to said ochymotrypsin in said solution is from 100:1 to 300:1 parts by weight: (ii) inactivating excess ochymotrypsin and separating the inactivated α-chymotrypsin from reaction mixture of step (i); and (ill) drying said reaction mixture to obtain said low molecular weight silk fibroin; wherein said composition comprises 0.1 to 10% by weight of the low molecular weight silk fibroin.

Cosmetic compositions comprising low molecular weight silk fibroin

A hard disk fixing device according to an embodiment of the present disclosure includes a hard disk box, a baffle and a snap. A first end of the baffle is rotatably installed on a first side edge of the hard disk box, a first end of the snap is rotatably installed on a second side edge of the hard disk box, and a second end of the snap is engaged with a second end of the baffle. As such, the hard disk box, the snap and the baffle form an accommodating cavity to limit a hard disk, and the accommodating cavity can accommodate the hard disk.

Hard disk fixing apparatus, hard disk cage and device having storage function

A conduit, particularly flexible conduit comprises an inner tubular housing, at least one reinforcing layer at least partially disposed around the inner housing, an outer protective sheath at least partially disposed around the at least one reinforcing layer, and optionally a thermally insulating layer disposed between the at least one reinforcing layer and the outer protective sheath. At least one of the outer protective sheath and the thermally insulating layer comprises a thermoplastic vulcanizate composition.

Thermoplastic vulcanizate conduits for transporting hydrocarbon fluids

Techniques are disclosed for storing an arranging data in a database. A method includes a computer system storing, in a database, data indicative of a graph data structure having a plurality of nodes connected by a plurality of edges. The method further includes the computer system determining that a number of edges connected to a first node satisfies a threshold number. In response to the determining, the computer system may store an index in an index row associated with the first node. The index identifies a first row having first and second ranges of values stored in first and second rows, respectively. The values in the first and second rows correspond to edges connected to the first node. The values in the first and second ranges are usable to indicate properties of corresponding ones of the plurality of edges.

Graph storage in a database

Various examples are directed to systems and methods for managing a warehouse. For example, a set of candidate routes through the warehouse may be generated based at least in part on graph data describing a plurality of nodes comprising a depot node, and a plurality of internode paths. Orders may be assigned to routes from the set of candidate routes to minimize a total duration for the routes. A set of tasks may be generated, where a first task of the set of tasks comprises a route and an order of the plurality of orders matched to the route. Tasks from the set of tasks may be assigned to picking agents to minimize a duration of the longest task from the set of tasks.

Warehouse management system

In optimized container management system, a booking request with customer locations, booking time, container type, movement mode, depot locations and depot locations stock information are received as input in a solver in a container management system received in a container management system. Based on the movement mode of booking request received by customer, solver algorithm is invoked to build a bipartite graph. A bipartite graph with nodes representing customer locations and depot locations are generated, based on the movement mode. Edges between the customer locations and the depot locations are generated based on a container balancing criteria of a solver algorithm. For remaining booking request, edges between the customer locations and the depot locations are generated based on a cost minimization criteria of the solver algorithm. The depot locations are assigned to the corresponding customer locations based on satisfying the container balancing criteria and the cost minimization criteria.

Optimized container management system

Disclosed is a thermoplastic polyolefin composition useful in automotive components comprising at least a polypropylene having a melting point temperature (T) of greater than 130&#xb0; C. and a melt flow rate (230&#xb0; C./2.16 kg) within the range from 10 g/10 min to 80 g/10 min; an amorphous ethylene-propylene copolymer comprising within the range from 40 wt % to 80 wt % ethylene derived units and having a melt flow rate (230&#xb0; C./2.16 kg) within the range from 0.1 g/10 min to 20 g/10 min; and a propylene-based elastomer having within the range from 5 to 25 wt % ethylene derived units and having a Tof less than 110&#xb0; C. The composition only partially breaks or there is no break at &#x2212;29&#xb0; C. (ASTM D256) with Notched Izod Force of between 10 to 40 ft-lb/inat 22&#xb0; C. (533 to 2,132 J/m), and between 1.0 to 12 ft-lb/inat &#x2212;29&#xb0; C. (53 to 636 J/m).

Thermoplastic polyolefin containing amorphous ethylene elastomer

Methods and systems are presented for testing software applications in a production-like environment that simulates real-world failures of production environments. A production environment has production applications and databases configured to process user requests from users for conducting transactions with a service provider. A testing system provides an intermediate interface that enables a software application operating in the test environment to access at least one of a production application or a production database. The intermediate interface can be configured based on different failure configurations to simulate production component failures in the production environment. Failure injection and randomized failure modes can be employed, including for network-related failures (latency, dropped packets, connections, etc.) that might occur in the production environment.

Systems and methods for testing software applications

Methods, systems, and computer-readable storage media for crowd control based on check-in time recommendations, including operations of receiving, from a plurality of users, travel information, the travel information including, for each of the plurality of users, a user identification, a departure location, and a departure time, determining a total number of passengers within a time interval associated to the departure time from the departure location, generating a recommended check-in time for each of the plurality of users based on the travel information and the total number of passengers, displaying for each of the plurality of users the recommended check-in time, and activating a setting of a ticket verification device to prevent access to a portion of the departure location for each of the plurality of users before the recommended check-in time.

Crowd control and check-in time recommendation in public transportation stations

An input corresponding to a time window is received in an integrated container management system. For containers of a specific container type, a network flow solver implementing a multi-commodity network flow problem is executed based on the input. A graph is generated with nodes representing depot locations, mode of transport locations and customer locations. Arcs connecting nodes, and representing operations and costs associated with the nodes are generated. Pick-up arcs are generated between the depot locations and customer locations. Return arcs are generated between the customer locations and the depot locations. Street turn arcs are generated among customer locations. Unload load arcs are generated between the mode of transport locations and the depot locations. Output tables are generated with values representing functionalities associated with container repositioning, container pick-up and return, and container street turn. Container repositioning, container pick-up and return, and container street turn are optimized based on the values in the output table.

Integrated container management system

Various embodiments of systems and methods for optimizing vehicle utilization are described herein. The method includes determining demand, supply, and availability of vehicles. A graph with nodes (representing source and destination stations of orders) and arcs connecting nodes is generated based on validity conditions, e.g., there is network connectivity from source to destination node, etc. The arc is assigned for repositioning, waiting, and loaded move based upon input such as tolerable delay for orders, waiting cost at stations, repositioning cost, long stand cost, revenue generated from orders, order priority, etc. A network flow solver is successively executed to solve the graph to maximize profit, optimized utilization of vehicles, fulfill order on time, and balance demand and supply. Output tables including key performance indicators (KPIs) and information of fulfilled and unfulfilled orders are generated. Vehicle allocation, repositioning, waiting, and loaded move may in turn are optimized based on the output tables.

Integrated system for optimizing vehicle utilization

Growing community of inventors

Shanghai, China

Xin Li