Abstract: The present disclosure relates to methods, devices and systems for calculating or selecting a first set of chemical compounds for an odor additive. For example, a method identifies a second set of chemical compounds present in a sample and intensities of individual chemical compounds in the second set of chemical compounds, and calculates the first set of chemical compounds for the odor additive such that an olfactory perception of a mixture of the sample and the odor additive is an olfactory white.

Abstract: A method comprises the steps of analyzing a given work product to determine one or more constituents used in the given work product, determining a given work product profile associated with the given work product based at least in part on the one or more constituents used in the given work product, comparing the given work product profile with one or more other work product profiles to determine a subset of the one or more other work product profiles similar to the given work product profile, and selecting one or more substitute work products having respective work profiles in the subset as substitutes for the given work product. The analyzing, determining, comparing and selecting steps are performed by at least one processor device.

Abstract: A portion of an audio signal is identified corresponding to a spoken word and its phonemes. A set of alternate spoken words satisfying phonetic similarity criteria to the spoken word is generated. A subset of the set of alternate spoken words is also identified; each member of the subset shares the same phoneme in a similar temporal position as the spoken word. A significance factor is then calculated for the phoneme based on the number of alternates in the subset and on the total number of alternates. The calculated significance factor may then be used to lengthen or shorten the temporal duration of the phoneme in the audio signal according to its significance in the spoken word.

Abstract: The present disclosure relates to methods and systems for calculating a food additive. A first method includes identifying chemical compounds of an averse food ingredient, identifying chemical compounds of a flavorful food ingredient and calculating a set of chemical compounds for the food additive such that an olfactory perception of a mixture of the averse food ingredient, the flavorful food ingredient and the food additive is the same as an olfactory perception of only the flavorful food ingredient. A first device includes a database storing information identifying chemical compounds of an averse food ingredient and identifying chemical compounds of a flavorful food ingredient, and a processor for calculating a food additive such that an olfactory perception of flavors of a mixture of the averse food ingredient, the flavorful food ingredient and the food additive is the same as an olfactory perception of only the flavorful food ingredient.

Abstract: The present disclosure relates to methods and systems for calculating a food additive. A first method includes identifying chemical compounds of an averse food ingredient, identifying chemical compounds of a flavorful food ingredient and calculating a set of chemical compounds for the food additive such that an olfactory perception of a mixture of the averse food ingredient, the flavorful food ingredient and the food additive is the same as an olfactory perception of only the flavorful food ingredient. A first device includes a database storing information identifying chemical compounds of an averse food ingredient and identifying chemical compounds of a flavorful food ingredient, and a processor for calculating a food additive such that an olfactory perception of flavors of a mixture of the averse food ingredient, the flavorful food ingredient and the food additive is the same as an olfactory perception of only the flavorful food ingredient.

Abstract: An apparatus comprises a memory and a processor device operatively coupled to the memory. The processor device is configured to evaluate a first work plan comprising one or more constituents to determine a first set of work plan metrics, determine one or more constraints for constituents of the first work plan, select one or more substitute constituents to replace constituents of the first work plan based at least in part on the determined constraints and the determined work plan metrics, and generate a second work plan using the substitute constituents, the second work plan having a second set of work plan metrics similar to the first set of work plan metrics.

Abstract: A method comprises evaluating a first work plan comprising one or more constituents to determine a first set of work plan metrics, determining one or more constraints for constituents of the first work plan, selecting one or more substitute constituents to replace constituents of the first work plan based at least in part on the determined constraints and the determined work plan metrics and generating a second work plan using the substitute constituents, the second work plan having a second set of work plan metrics similar to the first set of work plan metrics. The evaluating, determining, selecting and generating are performed by at least one processing device.

Abstract: A real-time monitoring sub-system may monitor resources, work requests, and work progress in an on-going manner in information technology global service delivery provisioning. An integrated management and planning subsystem may simultaneously operate on a plurality of timescales to optimize a service delivery objective under a constraint of schedule risk. The integrated management and planning subsystem may continuously update a work plan based on solving in the on-going manner, the optimized service delivery objective using the monitored resources, work requests and work progress.

Abstract: An apparatus comprises a decoder and an actuator. The decoder is configured to receive a signal comprising a target olfactory pleasantness, to determine one or more combinations of odors which produce the target olfactory pleasantness, and to select a given one of the combinations of odors. The actuator is coupled to the decoder and configured to utilize the given combination of odors to produce an odor with the target olfactory pleasantness.

Abstract: A real-time monitoring sub-system may monitor resources, work requests, and work progress in an on-going manner in information technology global service delivery provisioning. An integrated management and planning subsystem may simultaneously operate on a plurality of timescales to optimize a service delivery objective under a constraint of schedule risk. The integrated management and planning subsystem may continuously update a work plan based on solving in the on-going manner, the optimized service delivery objective using the monitored resources, work requests and work progress.

Abstract: An apparatus comprises a decoder and an actuator. The decoder is configured to receive a signal comprising a target olfactory pleasantness, to determine one or more combinations of odors which produce the target olfactory pleasantness, and to select a given one of the combinations of odors. The actuator is coupled to the decoder and configured to utilize the given combination of odors to produce an odor with the target olfactory pleasantness.

Abstract: Improving global service delivery by augmenting with social network analysis, may comprise identifying social network metrics and key performance indicator metrics; collecting data associated with the social network metrics and the key performance indicator metrics, from on-going work performed in the global service delivery and a social network of practitioners; transforming the data into measurable metric data; determining whether a deviation exists in the measurable metric data; and generating an actionable recommendation in response to determining that the deviation exists.

Abstract: Improving global service delivery by augmenting with social network analysis, may comprise identifying social network metrics and key performance indicator metrics; collecting data associated with the social network metrics and the key performance indicator metrics, from on-going work performed in the global service delivery and a social network of practitioners; transforming the data into measurable metric data; determining whether a deviation exists in the measurable metric data; and generating an actionable recommendation in response to determining that the deviation exists.

Abstract: An apparatus comprises a memory and a processor device operatively coupled to the memory. The processor device is configured to select one or more constituents and one or more classes of work products, analyze one or more existing work products to identify constituents frequently combined with the selected constituents and to identify constituents frequently used to create work products in the selected classes, determine a set of constraints for combining constituents for the set of classes based at least in part on a result of the analyzing step and generate one or more new work products in the set of classes using the set of constraints.

Abstract: A method for estimating a time required to complete an atomic task, where the atomic task is one of a plurality of atomic tasks that collectively forms a molecular task, includes obtaining, for each of a plurality of molecular tasks including the molecular task, data including: a known time required to complete each of the plurality of molecular tasks and a known list of constituent atomic tasks forming each of the plurality of molecular tasks, and estimating the time required to complete the atomic task based on the data.

Abstract: Accommodating schedule variance in work, in one aspect, may comprise tracking information associated with work packets; identifying one or more work packets deviating from a planned schedule based on the tracking; identifying one or more features associated with the identified one or more work packets; computing metrics associated with the one or more features; prioritizing the identified one or more work packets based on the computed metrics using a predictive model, the predictive model calibrated at least based on historical data; and recommending one or more actions to take associated with the one or more prioritized work packets.

Abstract: Estimating a time required to complete an atomic task, where the atomic task is one of a plurality of atomic tasks that collectively forms a molecular task, includes obtaining, for each of a plurality of molecular tasks including the molecular task, data including: a known time required to complete each of the plurality of molecular tasks and a known list of constituent atomic tasks forming each of the plurality of molecular tasks, and estimating the time required to complete the atomic task based on the data.

Abstract: Accommodating schedule variance in work, in one aspect, may comprise tracking information associated with work packets; identifying one or more work packets deviating from a planned schedule based on the tracking; identifying one or more features associated with the identified one or more work packets; computing metrics associated with the one or more features; prioritizing the identified one or more work packets based on the computed metrics using a predictive model, the predictive model calibrated at least based on historical data; and recommending one or more actions to take associated with the one or more prioritized work packets.

Abstract: A method comprises the steps of selecting one or more constituents and one or more classes of work products, analyzing one or more existing work products to identify constituents frequently combined with the selected constituents and to identify constituents frequently used to create work products in the selected classes, determining a set of constraints for combining constituents for the set of classes based at least in part on a result of the analyzing step, and generating one or more new work products in the set of classes using the set of constraints. The selecting, analyzing, determining and generating steps are performed by at least one processor device.

Abstract: A method, system and computer program product are disclosed for candidate screening. In one embodiment, the method comprises identifying a multitude of dimensions of a specified job, assigning a weight to each of the dimensions, and determining whether each of a group of candidate satisfies the weights assigned to the dimensions. In an embodiment, a score is assigned to each candidate based on the weights assigned to the dimensions, and the number of the candidates score above a threshold is determined. In an embodiment, if the number of the candidates that have a score above the threshold is less than a defined number, one or more of the weights is adjusted, and the candidates are rescored based on these adjusted weights. In embodiments of the invention, the weights are adjusted based on the number of the candidates that score above the threshold, or based on the other weights.