Sap Se

Nec Corporation

Sap Ag

International Business Machines Corporation

Nec Usa, Inc.

Wen-Syan Li

Yu Cheng

Gufei Sun

Mengjiao Wang

Heng Wang

Wenjun Zhou

Xingtian Shi

Kasim Selcuk Candan

Tianyu Luwang

Bin Dong

Zheng Long Wei

Thomas Phan

Jian Xu

Yongyuan Shen

Divyakant Agrawal

Quoc Vu

Jianfeng Yan

Inderpal Singh Narang

Zhan Shi

Atsuhiro Tanaka

Ying Yan

Yun Jin

Kunihiro Taniguchi

Qi Sun

K Selcuk Candan

Meilin Bai

Daniele Costante Zilio

Yingyu Chen

Vishal Singh Batra

Wen Jiang

Yuan Fang

Philippe Nemery

Edward Chang

Yi-Leh Wu

Okan Kolak

Nairu Fan

Conglun Yao

Leo Hu

Xuefeng Jia

Jie Qi

Disclosed herein are technologies for providing recommendations as to particular products and/or services that are customer specific and general, based on customer preference and inquiry. The recommendations are provided as part of an online shopping system. In accordance with one aspect, an item query is received from a customer, and analyzed by a query analyzer to determine if the query is a general item query or a specific item query. A search may be performed for items based on the item query in an items database listing items offered for purchase. If the query is the general item query, customer preference is determined from results of the search. If the query is the specific item query, the items from the results of the search are grouped based on cost performance. The items of the search result are ranked and provided to the customer.

Method, system, and computer-readable medium for product and vendor selection

Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for receiving a first current detected data value for a first sensor of a sensor network including multiple sensors, determining a first predicted data value based on historical data values of the first sensor, and a second predicted data value based on a second current detected data value for a second sensor, providing a combined predicted data value based on the first predicted data value, and the second predicted data value, comparing the first current detected data value and the combined predicted data value to provide a comparison, and determining a first corrected data value for the first sensor.

Online self-correction on multiple data streams in sensor networks

A non-transitory computer-readable storage medium may comprise instructions stored thereon for controlling operation of a vehicle travelling from a starting location to a target location. When executed by at least one processor, the instructions may be configured to cause a computing system to generate a travel itinerary for the vehicle to travel over different road segments at respective speeds between the starting location and the target location subject to an arrival time deadline for arriving at the target location, the different road segments being selected on a map to minimize a total fuel consumption of the vehicle in travelling from the starting location to the target location, and send the travel itinerary to a vehicle operator to operate the vehicle to travel over different road segments at respective speeds between the starting location and the target location.

System and method for vehicle fuel consumption optimization

The present disclosure involves systems, software, and computer implemented methods for mutual reinforcement of edge devices with dynamic triggering conditions and/or computation frequencies. In one example, a first edge device in multiple edge devices in an Internet of Things (IoT) system monitors at least a first parameter. The first edge device determines whether a first condition from one set of conditions is satisfied based on at least the monitored first parameter. In response to determining that the first condition is satisfied, the first edge device automatically transmits a signal to a second edge device in the multiple edge devices to initiate or stop monitoring of a second parameter by the second edge device.

Mutual reinforcement of edge devices with dynamic triggering conditions

The embodiments provide a system for matching orders with incoming shipments. The system may include a product shipment handler configured to receive product shipment information specifying incoming products, a product order handler configured to receive product order information specifying a plurality of product orders and input parameter information associated with each product order, a job dispatcher configured to create a plurality of jobs based on the product shipment information and the product order information, a modeling tool configured to model each job as a separate constrained linear optimization problem, and a linear solver configured to solve each constrained linear optimization problem based on the input parameter information and the product shipment information including generating a delivery plan for each product order within a respective job that matches at least one incoming product with a corresponding product order over a period of time.

System, method, and medium for matching orders with incoming shipments

The present disclosure relates to a computer system comprising a database including, a reallocation scheduling module, the reallocation scheduling module configured to obtain an objective function including one or more integer-valued decision variables and automatically determine a proposed reallocation scheme for each of one or more items between a plurality of locations based on the objective function, wherein determining the reallocation scheme includes finding values of one or more decision variables that optimize the objective function while obeying the one or more constraints, wherein determining a proposed reallocation scheme includes solving an integer quadratic programming problem.

Efficient computerized calculation of resource reallocation scheduling schemes

A multi-depot delivery schedule optimizer includes an iteration controller to initialize scheduling iterations for determining an optimized route schedule for a plurality of demands and a plurality of vehicles, in which at least one of the route schedules includes a first depot as a start location, at least one delivery location, and a second depot as an end location. The multi-depot delivery schedule optimizer further includes a particle handler to define a plurality of particles within a solution space of allowable route schedules, each particle representing an allowable route schedule and represented by a corresponding position within the solution space.

Data analysis for optimizations of scheduling with multiple location variables

The method includes selecting a target record from a dataset, the target record including a missing value, partitioning records of the dataset into at least two groups including co-related data, the partitioned records including records having a value for a same field as the missing value in the target record, predicting the missing value based on a relationship between fields in each of the at least two groups associated with the partitioned records, and setting the missing value of the target record to the predicted value.

Method and system for managing databases having records with missing values

A recommendation system for generating location recommendations for drivers of public service vehicles is disclosed. The system segments a map of an area of interest into segments or regions and analyzes historical call data to estimate demand in the regions. The analysis also determines values of the calls in the regions. For example, the analysis estimates the probability of the calls and values of such calls in each region. The analysis may include time patterns to improve accuracy of the estimation. By using the results of the analysis along with current information, such as current location of a vehicle, current time, and real-time traffic information, a holding location recommendation is generated.

Dynamic location recommendation for public service vehicles

A system for self-adaptive user reading preference learning and screen layout optimization for multi-media information is disclosed. The system is particular useful for devices with small display form factors, such as mobile devices. Data flow diagram (DFD) technique is used to represent a model of the screen layout for visualization. The system processes input information, which includes user information, device information, context information, and the news. The delivery news is filtered in the news processing system and presented to a user based the user's interest, whereas device information and context information, are also factors that take effect in the modeling.

Self-adaptive display layout system

A system and method for analyzing documents, such as posts, on-line reviews and comments from people based on topics of the documents, to determine general sentiment of users is disclosed. Topics from the documents and their corresponding sentiment polarities are extracted. The documents are regarded to be constituted by a series of topics. The sentiment for a topic is represented by a quadruple (k, so, h, i), where k is the topic, so is the sentiment opinion, h is the comment or post holder, and i is the document. A quintuple (k, sup, p, n, ne) is used to illustrate the topics and corresponding sentiments and is stored in S, where sup indicates the frequency of the topic, and p (positive), n (negative) and ne (neutral) are different types of opinions of the users. From the quintuple set S, every topic is related to three kinds of sentiment opinions (positive, negative, and neutral), enabling determination of popular topics in documents as well as the users' sentiment polarities.

Comment-comment and comment-document analysis of documents

A technology for multi-objective optimization is provided. In accordance with one aspect, historical data and real-time data of a network of interest are provided in an integrated database. User input containing a problem to be solved and user preference for solving the problem is received. An optimization function is identified for generating at least one solution to the problem. The optimization function is identified based on the user preference. In response to identifying a single objective optimization function, the optimization function is initiated from a single objective optimization function library. In response to identifying a multi-objective optimization function, the optimization function is initiated from a multi-objective optimization function library. The optimization function retrieves the historical and real-time data based on the user preference for solving the problem. A result comprising at least one solution to the problem is provided.

System and method of multi-objective optimization for transportation arrangement

Disclosed herein are technologies for facilitating placement of charging stations. In accordance with one aspect, sensor data of electric vehicles is received. A charging demand distribution over a set of locations is determined based on the sensor data. Candidate locations are selected from the set of locations based on the charging demand distribution. Placement of charging stations at one or more of the candidate locations is then optimized.

Optimized placement of electric vehicle charging stations

Disclosed herein is a framework for determining a service provider to service a customer request. In accordance with one aspect, a request from a customer is received by a decision module. The decision module further receives a response to the request from a first service provider, determines the average frequency of responses for a given time interval during the time and location of the request, estimates arrival time of the first service provider and near-by service providers to the location of the customer, ranks all service providers based on arrival time, and estimates a probability of a shorter customer wait time.

System and method for intermediary agency to find better service providers

Growing community of inventors

Fremont, CA, United States of America

Wen-Syan Li