Abstract: A purification system for ionic liquid solvents includes an ionic liquid source that includes a first flow controller configured to provide a first flow stream at a first flow rate where the first flow stream including an ionic liquid requiring purification. An extraction liquid source provides a second flow stream including an extraction liquid that is immiscible with the ionic liquid. A mixing component is configured to mix the first flow stream and the second flow stream and output a mixed flow stream that includes a retentate phase and a permeate phase. A separator assembly includes a separation membrane interposed between a first flow channel assembly and a second channel assembly.

Abstract: A purification system for ionic liquid solvents includes an ionic liquid source that includes a first flow controller configured to provide a first flow stream at a first flow rate where the first flow stream including an ionic liquid requiring purification. An extraction liquid source provides a second flow stream including an extraction liquid that is immiscible with the ionic liquid. A mixing component is configured to mix the first flow stream and the second flow stream and output a mixed flow stream that includes a retentate phase and a permeate phase. A separator assembly includes a separation membrane interposed between a first flow channel assembly and a second channel assembly.

Abstract: Technologies relating to model interpretation are described herein. A text classifier is provided with input text and assigns a class to the input text from amongst several possible classes. Based upon the class assigned to the input text by the text classifier, a class profile of a centroidal classifier is selected, where the class profile is constructed based upon numerous input texts to which the text classifier has previously assigned the class. Based upon the selection of the class profile, information that is indicative of operation of the text classifier with respect to the text classifier assigning the class to the input text is output, where the information includes an exemplar text sequence.

Abstract: Technologies related to predicting whether a requested change (deployment) in a cloud computing environment will fail are described herein. An exposomic feature value is computed based upon a time series of risk values, where the risk values represent risk of failure over several historic time intervals. A probabilistic model computes a likelihood that the requested deployment will fail during implementation of the requested deployment based upon the exposomic feature value and a contextual feature value, and a notification is transmitted to a computing device of a change manager to allow the change manager to take remedial action.

Abstract: A transport arrangement system operates to provide a service, which can receive a transport pool request from a rider. The transport pool request can specify a set of parameters, including a pickup location and a drop-off location. A candidate set of transport providers are identified that satisfy one or more criterion, including a criterion of proximity relative to the pickup location. One of the candidate set of drivers is selected to provide a transport pool for the rider. The selection can be based at least in part on determining which individual drivers of the candidate set satisfy one or more constraints, including a first constraint that relate to a predicted trip completion time for the rider.

Abstract: A computing system can receive input data specifying a destination location for a requesting user and determine a guaranteed upfront cost for transporting the requesting user to the specified destination location. The system can cause the computing device of the requesting user to display a ride service selection interface comprising a graphic feature indicating the guaranteed upfront cost for the specified transport option. Based on a user selection of the graphic feature, the computing system can select a driver from the one or more available drivers based, at least in part, on a proximity of the selected driver to the current location of the requesting user, and determine a rendezvous point at which the requesting user can rendezvous with the selected driver.

Abstract: Itineraries may be recommended using rider context information relating to a rider. The rider context information may be obtained from various sources. Location information including an origin and a destination may obtained. A set of itineraries may be generated based on the rider context information. Each itinerary may include at least one mode of transportation to allow the rider to travel from the origin to the destination. Each itinerary in the set of itineraries may be ranked based on the rider context information.

Abstract: Technologies related to predicting whether a requested change (deployment) in a cloud computing environment will fail are described herein. An exposomic feature value is computed based upon a time series of risk values, where the risk values represent risk of failure over several historic time intervals. A probabilistic model computes a likelihood that the requested deployment will fail during implementation of the requested deployment based upon the exposomic feature value and a contextual feature value, and a notification is transmitted to a computing device of a change manager to allow the change manager to take remedial action.

Abstract: Provided is an optimization control method for stable operation of an aerial work platform. For an articulated boom type aerial work platform which does not overturn in three preset operational states, the maximum angle ?max of a folding boom angle ? is substituted into a known first stability control function L=g (?, ?, S) to obtain an optimized second stability control function L=f (?, S). The three preset operational states include: State I—a folding boom is fully extended at a maximum angle, and a main boom is fully retracted at a maximum angle; State II—the folding boom is fully retracted at a minimum angle, and the main boom is fully retracted at a maximum angle; and State III, the folding boom is fully retracted at a maximum angle, and the main boom is fully retracted horizontally.

Abstract: Technologies relating to model interpretation are described herein. A text classifier is provided with input text and assigns a class to the input text from amongst several possible classes. Based upon the class assigned to the input text by the text classifier, a class profile of a centroidal classifier is selected, where the class profile is constructed based upon numerous input texts to which the text classifier has previously assigned the class. Based upon the selection of the class profile, information that is indicative of operation of the text classifier with respect to the text classifier assigning the class to the input text is output, where the information includes an exemplar text sequence.

Abstract: A transport arrangement system operates to provide a service, which can receive a transport pool request from a rider. The transport pool request can specify a set of parameters, including a pickup location and a drop-off location. A candidate set of transport providers are identified that satisfy one or more criterion, including a criterion of proximity relative to the pickup location. One of the candidate set of drivers is selected to provide a transport pool for the rider. The selection can be based at least in part on determining which individual drivers of the candidate set satisfy one or more constraints, including a first constraint that relate to a predicted trip completion time for the rider.

Abstract: Systems and methods for providing a cost-sharing transportation service are provided. An exemplary method includes receiving first and second requests for a cost-sharing option of the transportation service from first and second users, respectively. The method also includes determining whether to fulfill the first and second requests using a same service vehicle shared by the first and second users. In response to a determination to fulfill the first and second requests using the same service vehicle shared by the first and second users, the method includes combining the first and second requests into a combined request, sending the combined request to one or more service providers, and locating a service provider to fulfill the combined request.

Abstract: A transport arrangement system operates to provide a service, which can receive a transport pool request from a rider. The transport pool request can specify a set of parameters, including a pickup location and a drop-off location. A candidate set of transport providers are identified that satisfy one or more criterion, including a criterion of proximity relative to the pickup location. One of the candidate set of drivers is selected to provide a transport pool for the rider. The selection can be based at least in part on determining which individual drivers of the candidate set satisfy one or more constraints, including a first constraint that relate to a predicted trip completion time for the rider.

Abstract: Itineraries may be recommended using rider context information relating to a rider. The rider context information may be obtained from various sources. Location information including an origin and a destination may obtained. A set of itineraries may be generated based on the rider context information. Each itinerary may include at least one mode of transportation to allow the rider to travel from the origin to the destination. Each itinerary in the set of itineraries may be ranked based on the rider context information.

Abstract: Multi-modal itineraries may be scheduled by setting a time to request a future transportation mode. An itinerary including a set of transportation modes to allow a rider to travel from an origin to a destination may be obtained. A first non-self-controlled transportation mode from the set of transportation modes may be obtained. A second non-self-controlled transportation mode from the set of transportation modes may be obtained. A request time for the second non-self-controlled transportation mode may be scheduled.

Abstract: Systems and methods for providing a cost-sharing transportation service are provided. An exemplary system may include a memory and at least one processor coupled to the memory. The at least one processor, when executing instructions stored on the memory, perform operations. The operations may include providing a cost-sharing option to a first user. The operations may also include receiving input from the first user indicating a selection of the cost-sharing option. The operations may also include providing information of a pick-up area to the first user based on an origin location. The operations may also include searching for a second user associated with the cost-sharing option. The operations may also include determining a pick-up location associated with the cost-sharing option. The operations may also include providing, to the first user, information of the pick-up location.

Abstract: A computing system can receive input data specifying a destination location for a requesting user and determine a guaranteed upfront cost for transporting the requesting user to the specified destination location. The system can cause the computing device of the requesting user to display a ride service selection interface comprising a graphic feature indicating the guaranteed upfront cost for the specified transport option. Based on a user selection of the graphic feature, the computing system can select a driver from the one or more available drivers based, at least in part, on a proximity of the selected driver to the current location of the requesting user, and determine a rendezvous point at which the requesting user can rendezvous with the selected driver.

Abstract: A network computer system can receive data indicating a first service location from a computing device of a requesting user via an executing service application and determine data indicating a second service location. Based the first and second service locations, the network computer system can compute an upfront cost for each of a plurality of service options for completing an on-demand service for the requesting user. The network computer system can transmit data associated with the upfront cost for each of the plurality of service options to the computing device to enable a plurality of selectable graphic features to be displayed as part of a user interface on the computing device. Each of the graphic features can indicate the upfront cost for the corresponding service option.

Abstract: A high-efficiency extra-large cooling capacity series water-cooled chiller in an energy station, comprising at least two evaporators, a condenser, a chilled water main pipe and a cooling water main pipe, all the evaporators form an evaporator series set in a series connection form, both ends of the evaporator series set are connected to the chilled water main pipe, and each evaporator is provided with a refrigerant channel for connecting the condenser. According to the present invention, the evaporators are set in series combination. When the load is very low, one compressor operates at a high load or at full load, that is, the compressor continuously operates in a high efficiency zone, which avoids multiple compressors operating in an inefficient zone, and high total power.

Abstract: A transport arrangement system operates to provide a service, which can receive a transport pool request from a rider. The transport pool request can specify a set of parameters, including a pickup location and a drop-off location. A candidate set of transport providers are identified that satisfy one or more criterion, including a criterion of proximity relative to the pickup location. One of the candidate set of drivers is selected to provide a transport pool for the rider. The selection can be based at least in part on determining which individual drivers of the candidate set satisfy one or more constraints, including a first constraint that relate to a predicted trip completion time for the rider.