Abstract: A method includes obtaining from an online social media site a plurality of instances of images of objects associated with a person; analyzing with a data processor the plurality of instances of the images with a plurality of predetermined style classifiers to obtain a score for each image for each style classifier; and determining with the data processor, based on the obtained scores, a likely preference of the person for a particular style of object. The plurality of instances of images of objects associated with the person can be images that were posted, shared or pinned by person, and images that the person expressed a preference for. In a non-limiting embodiment the object is clothing, and the style can include a fashion style or fashion genre including color preferences. A system and a computer program product to perform the method are also disclosed.

Abstract: An example technique for generating slice data from a voxel representation can include obtaining a shape specification of the 3-D object. The example technique for generating slice data from a voxel representation can also include obtaining a material specification of the 3-D object. The example technique for generating slice data from a voxel representation can also include merging the shape specification and the material specification to create a voxel representation of the 3-D object, wherein each voxel in the voxel representation includes a plurality of data types. The example technique for generating slice data from a voxel representation can also include generating slice data from the voxel representation, wherein the slice data provides a higher resolution than that provided by the voxel representation using the plurality of data types.

Abstract: A rubber tyred gantry crane three-power hybrid energy saving system comprising a system controller; a unidirectional AC/DC converter; a small diesel generator set having its output going to the unidirectional AC/DC converter and supplying power to a direct-current bus after rectification; a unidirectional DC/AC inverter power supply having its input end connected in parallel with the direct-current bus, and having output going to the auxiliary transformer after inversion; a battery set and its management system; an interconnection switch; a large diesel generator set; and an auxiliary transformer. Electrical equipment mainly includes a hoist frequency converter, a trolley frequency converter, a gantry frequency converter, auxiliary electrical equipment and a control power supply.

Abstract: A service engagement map may be generated based on data collected associated with the service transition and delivery processes. The service engagement map may be refined iteratively by discovering additional data associated with the service transition and delivery processes and updating the service engagement map according to the additional data. Engagement metrics may be computed based on the service engagement map and presented. The service engagement map may also be presented visually.

Abstract: An example technique for generating slice data from the tree data structure representation of a three dimensional (3-D) object can include obtaining a shape specification of the 3-D object and obtaining a material specification of the 3-D object. The example technique for generating slice data from the tree data structure representation of a 3-D object can also include merging the shape specification and the material specification to create a tree data structure representation of the 3-D object. The example technique for generating slice data from the tree data structure representation of a 3-D object can also include generating slice data from the tree data structure.

Abstract: A method includes obtaining from an online social media site a plurality of instances of images of objects associated with a person; analyzing with a data processor the plurality of instances of the images with a plurality of predetermined style classifiers to obtain a score for each image for each style classifier; and determining with the data processor, based on the obtained scores, a likely preference of the person for a particular style of object. The plurality of instances of images of objects associated with the person can be images that were posted, shared or pinned by person, and images that the person expressed a preference for. In a non-limiting embodiment the object is clothing, and the style can include a fashion style or fashion genre including color preferences. A system and a computer program product to perform the method are also disclosed.

Abstract: A method includes obtaining from an online social media site a plurality of instances of images of objects associated with a person; analyzing with a data processor the plurality of instances of the images with a plurality of predetermined style classifiers to obtain a score for each image for each style classifier; and determining with the data processor, based on the obtained scores, a likely preference of the person for a particular style of object. The plurality of instances of images of objects associated with the person can be images that were posted, shared or pinned by person, and images that the person expressed a preference for. In a non-limiting embodiment the object is clothing, and the style can include a fashion style or fashion genre including color preferences. A system and a computer program product to perform the method are also disclosed.

Abstract: A cell module includes an ion exchange membrane, a first electrode, a second electrode, a first current collector plate, and a second current collector plate. The first electrode and the second electrode are disposed at two sides of the ion exchange membrane, wherein a sensing element is disposed in the first electrode, and the first electrode includes an insulating frame. The first current collector plate is located at one side of the first electrode, and the second current collector plate is located at one side of the second electrode.

Abstract: A method includes obtaining from an online social media site a plurality of instances of images of objects associated with a person; analyzing with a data processor the plurality of instances of the images with a plurality of predetermined style classifiers to obtain a score for each image for each style classifier; and determining with the data processor, based on the obtained scores, a likely preference of the person for a particular style of object. The plurality of instances of images of objects associated with the person can be images that were posted, shared or pinned by person, and images that the person expressed a preference for. In a non-limiting embodiment the object is clothing, and the style can include a fashion style or fashion genre including color preferences. A system and a computer program product to perform the method are also disclosed.

Abstract: A method includes obtaining from an online social media site a plurality of instances of images of objects associated with a person; analyzing with a data processor the plurality of instances of the images with a plurality of predetermined style classifiers to obtain a score for each image for each style classifier; and determining with the data processor, based on the obtained scores, a likely preference of the person for a particular style of object. The plurality of instances of images of objects associated with the person can be images that were posted, shared or pinned by person, and images that the person expressed a preference for. In a non-limiting embodiment the object is clothing, and the style can include a fashion style or fashion genre including color preferences. A system and a computer program product to perform the method are also disclosed.

Abstract: Assignment scheduling for service projects, in one aspect, may comprise preparing input parameter data for servicing a client service request; generating a schedule for servicing the client service request by executing an optimization algorithm with the input parameter data; determining whether the schedule is acceptable by the client; and repeating automatically the preparing, the generating, the transmitting and the determining until it is determined that the schedule is acceptable by the client, wherein each iteration automatically prepares different input parameter data for inputting to the optimization algorithm and generates a different schedule based on the different input parameter data.

Abstract: Assignment scheduling for service projects, in one aspect, may comprise preparing input parameter data for servicing a client service request; generating a schedule for servicing the client service request by executing an optimization algorithm with the input parameter data; determining whether the schedule is acceptable by the client; and repeating automatically the preparing, the generating, the transmitting and the determining until it is determined that the schedule is acceptable by the client, wherein each iteration automatically prepares different input parameter data for inputting to the optimization algorithm and generates a different schedule based on the different input parameter data.

Abstract: A method including, for a set of historical and/or ongoing business initiatives, determining key negative and positive performance factors by a computer from a structured taxonomy of negative and positive performance factors stored in a memory; modeling at least one of the performance factors for the ongoing business initiative or a new business initiative at at least one level of the hierarchical taxonomy. The key negative and positive performance factors are modeled based, at least partially, upon a likelihood of occurrence of the key negative performance factors during the business initiative, and based, at least partially, upon potential impact of the key performance factors on the business initiative. The method further includes providing the modeled performance factors in a report to a user, where the report identifies the modeled performance factors, and the potential impact of the at least one modeled performance factor.

Abstract: A service engagement map may be generated based on data collected associated with the service transition and delivery processes. The service engagement map may be refined iteratively by discovering additional data associated with the service transition and delivery processes and updating the service engagement map according to the additional data. Engagement metrics may be computed based on the service engagement map and presented. The service engagement map may also be presented visually.

Abstract: A system includes an enterprise repository configured to store at least one list of users associated with an organization and at least one list of surveys associated with the organization, an invitation module configured to allow an inviting user associated with the organization to designate at least one invitee to become associated with the organization and monitor acceptance by the invitee, a management module configured to associate the invitee with the organization in the list of users upon invitation acceptance, the management module to monitor the list of users to ensure a number of users on the list does not exceed a predetermined number of granted licenses, and a data repository, the data repository configured to store data received from the surveys generated by the users associated with the organization, wherein at least one user associated with the data repository has access rights to the data received through surveys.

Abstract: Assignment scheduling for service projects, in one aspect, may comprise preparing input parameter data for servicing a client service request; generating a schedule for servicing the client service request by executing an optimization algorithm with the input parameter data; determining whether the schedule is acceptable by the client; and repeating automatically the preparing, the generating, the transmitting and the determining until it is determined that the schedule is acceptable by the client, wherein each iteration automatically prepares different input parameter data for inputting to the optimization algorithm and generates a different schedule based on the different input parameter data.

Abstract: Assignment scheduling for service projects, in one aspect, may comprise preparing input parameter data for servicing a client service request; generating a schedule for servicing the client service request by executing an optimization algorithm with the input parameter data; determining whether the schedule is acceptable by the client; and repeating automatically the preparing, the generating, the transmitting and the determining until it is determined that the schedule is acceptable by the client, wherein each iteration automatically prepares different input parameter data for inputting to the optimization algorithm and generates a different schedule based on the different input parameter data.

Abstract: An embodiment of the invention provides a method for service management, wherein resources that have performed tasks in at least two of a first category, a second category, and at least one additional category are identified. A plurality of correlation sums are determined where the correlation sum includes at least two categories, wherein the correlation sums are added together to produce a correlation value. A correlation product for each correlation sum is calculated based on the respective correlation sum and the number of resources that have performed tasks with respect to the correlation sum. A quotient is calculated for each correlation sum based on the respective correlation product and the correlation value. The categories are grouped into clusters with a clustering module based on the quotients; and, resources are associated with the clusters based on task performance history of the resources.

Abstract: An embodiment of the invention provides a method for service management, wherein resources that have performed tasks in at least two of a first category, a second category, and at least one additional category are identified. A plurality of correlation sums are determined where the correlation sum includes at least two categories, wherein the correlation sums are added together to produce a correlation value. A correlation product for each correlation sum is calculated based on the respective correlation sum and the number of resources that have performed tasks with respect to the correlation sum. A quotient is calculated for each correlation sum based on the respective correlation product and the correlation value. The categories are grouped into clusters with a clustering module based on the quotients; and, resources are associated with the clusters based on task performance history of the resources.

Abstract: The system and method of the present disclosure allow the user to enumerate a set of risk factors for each financial metric time-profile projection, and respond to a set of questions that is linear in the number of risk factors. In one embodiment, the risk elicitation on each risk factor uses user input of likelihood of risk and impact and/or severity. On each of the risk factors for any given nominal, financial projection estimate, the inputs are systematically converted into a net impact distribution for that nominal, financial estimate.