Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The disclosure relates to systems and methods for determining flow in a network. The network includes a plurality of nodes, where a plurality of processing units can transport input/output units between nodes. Performance of the network under various conditions can be determined, such as based on flow data for transport of input/output units between nodes using processing units. Determining network performance can use a map that includes node and processing unit status for the network. Network evaluation can include applying flow data, schedule data, and map data at intervals in an evaluation period.

Abstract: 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.

Abstract: In one embodiment, a method receives requests where each request includes an origin, a destination, a time dependency, a request, and a cost of the request. Lines are generated from the requests with each line including a duration from the time dependency, the origin, the destination, and a profit based on the cost. Paths are generated that include a set of lines with each path including an identification of the lines in the path, a set of requests in the path, and a weight based on the profit of the set of requests in the path. The paths are analyzed to select a number of paths from the paths based on the weight of each path. A schedule to fulfill the requests is then output. A combination of requests is assigned to a single entity based on a set of requests in a path selected for the single entity.

Abstract: 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.

Abstract: Various embodiments of systems and methods for distributed manufacturing are described herein. The method includes identifying a time window for executing an order for a product comprising various components. A task allocator is executed to read data related to the product to generate manufacturing topology of the product representing components with nodes and their manufacturing inter-dependency with edges. Based upon the manufacturing topology, supplier's timeline topology of the product is generated to indicate time taken to manufacture the product by respective suppliers. The generated suppliers' timeline topologies are merged with time inter-dependency relationship between each node to generate production timeline topology of the product. Routes from nodes without predecessor nodes to nodes without successor nodes in the production timeline topology is generated. An optimal route having minimum manufacturing cost of the product is selected.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods are provided for tracking parts to be used in a production line. First and second digital outputs that represent, respectively, a first physical property of a first part and a second physical property of a second part, are received by one or more data processors. The first part has a first expected delivery date, and the second part has a second expected delivery date. The first and second physical properties are independently selected from the group consisting of humidity, temperature, and shock. The first digital output is compared to a first predetermined value representing damage to the first part. After a determination that first part is damaged and will not be available on the first expected delivery date, an alert is generated. The one or more data processors output the alert to at least one of a display screen and a computer-readable medium.

Abstract: 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.