Abstract: A method, computer system, and computer program product for consolidating and recording elements on a physical display board is provided. The embodiment may include capturing an initial image of a visual display mechanism, whereby the initial image contains elements. The embodiment may also include determining an initial state of the visual display mechanism based on the captured image. The embodiment may further include recognizing characters of the elements in the initial state. The embodiment may also include capturing a subsequent image of the visual display mechanism. The embodiment may further include comparing the initial image and the subsequent image of the visual display mechanism. The embodiment may include identifying updates to the visual display mechanism based on the comparison of the initial image and the subsequent image. The embodiment may further include performing a clean-up function of the elements and the recognized characters, based on the identified updates.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for image processing using deep neural networks. One of the methods includes receiving data characterizing an input image; processing the data characterizing the input image using a deep neural network to generate an alternative representation of the input image, wherein the deep neural network comprises a plurality of subnetworks, wherein the subnetworks are arranged in a sequence from lowest to highest, and wherein processing the data characterizing the input image using the deep neural network comprises processing the data through each of the subnetworks in the sequence; and processing the alternative representation of the input image through an output layer to generate an output from the input image.

Abstract: Sketch completion using machine learning in a digital medium environment is described. Initially, a user sketches a digital image, e.g., using a stylus in a digital sketch application. A model trained using machine learning is leveraged to identify and describe visual characteristics of the user sketch. The visual characteristics describing the user sketch are compared to clusters of data generated by the model and that describe visual characteristics of a set of digital sketch images. Based on the comparison, digital sketch images having visual characteristics similar to the user sketch are identified from similar clusters. The similar images are returned for presentation as selectable suggestions for sketch completion of the sketched object.

Abstract: A simulation device includes: a simulator simulating an information processing device; a virtual execution controller executing a job identical to a job executed by the information processing device, while a parameter different from a parameter set in the information processing device, is set in a virtual device in which the simulator simulates the information processing device, by controlling the simulator, when the information processing device is out of a preset admissibility condition; a parameter determinator determining the parameter set in the virtual device, as a change parameter, when the virtual device while the virtual device executes the job, satisfies the admissibility condition; and a setter controlling the information processing device such that the determined change parameter is set in the information processing device, when an environment of the information processing device becomes identical to an environment when the information processing device is out of the admissibility condition.

Abstract: A printing apparatus configured to receive print data, analyze the print data, and print the print data includes a control unit configured to control activation of a plurality of analysis units respectively supporting different data formats, a reception unit configured to receive from an external apparatus a predetermined inquiry received before receiving print data from the external apparatus, and a notification unit configured to notify the external apparatus of a response to the predetermined inquiry, the response including at least information indicating a predetermined data format supported by the printing apparatus, wherein, based on the predetermined inquiry, the control unit activates one of the analysis units that supports the predetermined data format indicated by the information.

Abstract: A printing apparatus includes an obtaining section that obtains encoded data in which compression is performed, a decoding section that decodes encoded data to obtain image data for printing, and a printing section that performs printing by using image data for printing. The encoded data is encoded data including, for a respective one of the blocks, first compressed data in which quantized values obtained by performing orthogonal transformation for a respective one of N color components are each compressed, and second compressed data in which, by using a dictionary in which a plurality of different colors are registered as indexes, a corresponding one of the indexes associated with the color of each pixel is compressed. The decoding section decodes the first compressed data in N cycles and decodes the second compressed data in one cycle to obtain print data decoded in units of the blocks.

Abstract: An image processing apparatus includes a target value calculation unit configured to calculate a target value to be output in a predetermined region in input image data based on pixel values of pixels included in the region, a distribution order determination unit configured to determine a distribution order of output values for distributing output values corresponding to the target value in the region based on a pixel value of each pixel included in the region and a threshold value in the threshold matrix corresponding to the pixel, and an output value determination unit configured to determine an output value of each pixel included in the region by allocating the target value to at least one pixel included in the region in the distribution order.

Abstract: The present invention is an organizing unit for barcode tags. The organizing unit includes a housing divided into two parts, an upper member and a lower member. The upper member and the lower member are generally L-shaped members joined together such that a space is formed therebetween in which multiple barcode tags are arranged and stacked on top of each other. Each of the barcode tags includes an aperture, and further the upper member and the lower member include apertures formed therein. A ring may be coupled with the housing, by engaging with the apertures, such that the barcode tags pivot about the ring to be retracted in and out of the space, as and when desired.

Abstract: A mobile card reader can be configured to connect to an input module of a mobile device. The mobile card reader can scan a magnetic stripe card from a structure exposed to lightning strikes in order to output a lightning-indicator signal to the input module. The lightning-indicator signal can be analyzed to determine a magnitude of a lightning strike to which the magnetic stripe card and the structure have been exposed.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to printing radio frequency identification tag on a sales receipt. In some embodiments, a system comprises a printer, wherein the printer is configured to produce at least a portion of circuitry required for the RFID tag and a control circuit communicatively coupled to the printer, the control circuit configured to identify items associated with a transaction, determine the at least the portion of the circuitry of the RFID tag to be printed, associated the RFID tag with one or more of the items, cause the printer to print the at least the portion of the circuitry required for the RFID tag on the receipt, receive, from an RFID reader, an indication of the RFID tag and indications of RFID tags associated with products, and compare the indications of the RFID tags associated with products and the one or more of the items associated with the RFID tag.

Abstract: The disclosed embodiments generally relate to transaction card constructions, and particularly, to a two-piece transaction card construction. Disclosed embodiments include a generally planar first card component including a first surface and a generally planar second card component including a second surface wherein the first card component is separate from the second card component. In disclosed embodiments, for example, the generally planar first card component and the generally planar second card component may be configured such that one forms a cavity and the other forms an inlay component configured to be seated within the cavity. In other embodiments the generally planar first card component and the generally planar second card component may be configured such that one forms a container and the other forms a lid configured to close the container.

Abstract: The present invention relates to a wearable device and a system. The wearable device (20, 40) comprises an electronic circuit (21), a power supply (22), a switching circuit (23, 43) coupled between the electronic circuit and the power supply, and an electromagnetic field detection circuit (24) coupled to the switching circuit (23, 43) for detecting an electromagnetic field generated by an NFC transmitter within the detection range of the electromagnetic field detection circuit and for generating a trigger signal if an electromagnetic field generated by an NFC transmitter is detected within the detection range of the electromagnetic field detection circuit. The switching circuit (23, 43) comprises a flip-flop (231) or a transistor circuit (431) including an input transistor (432) and a fuse (433) to switch the connection between the electronic circuit and the power supply on in response to the trigger signal.

Abstract: A method for decision-making by an electronic system comprising a plurality of components is provided herein. The components of the system are given tunable voting authority v=[Vmin . . . Vmax], typically [?1 . . . 1]. A singleton officiating member manages the notification and voting process. A current representation of the entire system is stored in the model. The model is a state storage system that tracks the existence and condition of a group of tracked data items, called Entities. The model is managed by the singleton officiating member but may be queried by any component.

Abstract: Embodiments of the invention provide a neurosynaptic system comprising a delay unit for receiving and buffering axonal inputs, and a neural computation unit for generating neuronal outputs by performing a set of computations based on at least one axonal input received by the delay unit. The system further comprises a permutation unit for receiving external inputs to the system, and transmitting external outputs from the system. The permutation unit maps each external input received as either an axonal input to the delay unit or an external output from the system. The permutation unit maps each neuronal output generated by the neural computation unit as either an axonal input to the delay unit or an external output from the system. The neural computation unit comprises multiple electronic neurons, multiple electronic axons, and a plurality of electronic synapse devices interconnecting the neurons with the axons.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting neural networks with an external memory. One of the methods includes providing an output derived from a first portion of a neural network output as a system output; determining one or more sets of writing weights for each of a plurality of locations in an external memory; writing data defined by a third portion of the neural network output to the external memory in accordance with the sets of writing weights; determining one or more sets of reading weights for each of the plurality of locations in the external memory from a fourth portion of the neural network output; reading data from the external memory in accordance with the sets of reading weights; and combining the data read from the external memory with a next system input to generate the next neural network input.

Abstract: Methods, systems, and computer storage media for implementing neural networks in fixed point arithmetic computing systems. In one aspect, a method includes the actions of receiving a request to process a neural network using a processing system that performs neural network computations using fixed point arithmetic; for each node of each layer of the neural network, determining a respective scaling value for the node from the respective set of floating point weight values for the node; and converting each floating point weight value of the node into a corresponding fixed point weight value using the respective scaling value for the node to generate a set of fixed point weight values for the node; and providing the sets of fixed point floating point weight values for the nodes to the processing system for use in processing inputs using the neural network.

Abstract: A driving assistance system for a vehicle includes a processor of the vehicle operable to process data for the driving assistance system. The driving assistance system determines a priority for various processing tasks required by one or more systems of the vehicle. Responsive to the determination of the priority of various processing tasks required by one or more systems of the vehicle, the processor determines a task with a higher priority than other lower priority tasks and is operable to process the higher priority task and to shift processing of lower priority tasks to other processors within the vehicle.

Abstract: Presented are relation inference methods and systems that use deep learning techniques for data mining documents to discover a relation between terms of interest in a given field covering a specific topic. For example, in the healthcare domain, various embodiments of the present disclosure provide for a relation inference system that mines large-scale medical documents in a free-text database to extract symptom and disease terms and generates relation information that aids in disease diagnosis. In embodiments, this is accomplished by training and using an RNN, such as an LSTM, a Gated Recurrent Unit (GRU), etc., that takes advantage of a term dictionary to examine co-occurrences of terms of interest within documents to discover correlations between the terms. The correlation may then be used to predict statistically most probable terms (e.g., a disease) related to a given search term (e.g., a symptom).

Abstract: An interactive system makes use of a concise user representation, for example, in the process of making predictions of a user's next action. In some examples, the concise user representation is computed from a larger amount of user data, which is processed using a transformation trained using a Generative Adversarial Network (GAN) approach.

Abstract: Embodiments relate to a neuromorphic architecture for unsupervised feature learning using memristive synapses realized using phase-change devices. A spiking neural network architecture for unsupervised pattern learning and a spike-based learning algorithm compatible with phase-change synapses is described, and a feature-learning algorithm capable of performing a sequence of set operations on input patterns is provided. A learning rule for the extraction of certain features of the input that is compatible with spiking neurons and synapses with spike-based plasticity is also provided. The system enables enhanced pattern- and feature-extraction capabilities in neuromorphic systems.

Abstract: A synaptic circuit performing spike-timing dependent plasticity STDP interposed between a pre-synaptic neuron and a post-synapse neuron includes a memristor having a variable resistance value configured to receive a first signal from the pre-synaptic neuron. The circuit has an intermediate unit connected in series with the memristor for receiving a second signal from the pre-synaptic neuron and provides an output signal to the post-synaptic neuron. The intermediate unit receives a retroaction signal generated from the post-synaptic neuron and the memristor modifies the resistance value based on a delay between two at least partially overlapped input pulses, a spike event of the first signal and a pulse of the retroaction signal, in order to induct a potentiated state STP or a depressed state STD at the memristor. An electronic neuromorphic system having synaptic circuits and a method of performing spike timing dependent plasticity STDP by a synaptic circuit are also provided.

Abstract: High dynamic range, high class count, high input rate winner-take-all on neuromorphic hardware is provided. In some embodiments, a plurality of thermometer codes are received by a neurosynaptic core. The plurality of thermometer codes are split into a plurality of intervals. One of the plurality of intervals is selected. A local maximum is determined within the one of the plurality of intervals. A global maximum is determined based on the local maximum.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a neural network used to select actions performed by a reinforcement learning agent interacting with an environment. In one aspect, a method includes maintaining a replay memory, where the replay memory stores pieces of experience data generated as a result of the reinforcement learning agent interacting with the environment. Each piece of experience data is associated with a respective expected learning progress measure that is a measure of an expected amount of progress made in the training of the neural network if the neural network is trained on the piece of experience data. The method further includes selecting a piece of experience data from the replay memory by prioritizing for selection pieces of experience data having relatively higher expected learning progress measures and training the neural network on the selected piece of experience data.

Abstract: A first user and a second user may exchange messages during a session and the exchanged messages may be processed to suggest resources to the first user. For example, the first user may be a customer service representative assisting a customer, and the suggested resources may include text of a message to send to the customer. The resources may be suggested by computing a semantic representation of the messages in the session, computing a context vector that describes a context of the session, computing a context hash vector from the context vector, and retrieving one or more resources from a data store of resources using the context hash vector. Information about a resource may be presented to the first user to assist the first user in responding to the second user.

Abstract: Methods and systems for encoding digital information in nucleic acid (e.g., deoxyribonucleic acid) molecules without base-by-base synthesis, by encoding bit-value information in the presence or absence of unique nucleic acid sequences within a pool, comprising specifying each bit location in a bit-stream with a unique nucleic sequence and specifying the bit value at that location by the presence or absence of the corresponding unique nucleic acid sequence in the pool But, more generally, specifying unique bytes in a bytestream by unique subsets of nucleic acid sequences. Also disclosed are methods for generating unique nucleic acid sequences without base-by-base synthesis using combinatorial genomic strategies (e.g., assembly of multiple nucleic acid sequences or enzymatic-based editing of nucleic acid sequences).

Abstract: The present disclosure generally includes a projective modeling and simulation system which produces an Outcome Model which reflects the projection of a structured assertion across the elements composing a Reference Data Model, where the projected contention is embodied within a structured Assertion Model and an optionally associated but similarly structured Apportionment sub-Model where the Outcome Model unifies the subject matter of the Reference Data Model with the Assertion-Apportionment Model pair.

Abstract: A device management method of a device management apparatus that manages information of devices installed in a home, includes: acquiring electric power consumption per unit time in predetermined time intervals, for each of branch circuits of a power distribution board to which the devices can be connected; estimating existence of the devices connected to the branch circuit, based on change of electric power consumption over time, per unit time; condition determining whether or not an estimated device, which is a device regarding which existence has been estimated in the estimating, satisfies a predetermined condition; and transmitting inquiry information to a user in accordance with the predetermined condition, only in a case where determination is made in the condition determining that the estimated device satisfies the predetermined condition.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions executed by the processor to specifically configure the processor to implement a statistical model tool for providing insight into decision making. The statistical model tool applies the statistical model to an input image to generate an original classification probability. An image modification component executing within the statistical model tool iterative modifies each portion of the input image to generate a modified image. The statistical model tool applies the statistical model to the modified image to generate a new classification probability for each portion of the input image. A compare component executing in the statistical model tool compares each new classification probability to the original classification probability to generate a respective probability distance.

Abstract: The present invention is related to an issue-manage-style internet public opinion information evaluation management system and method thereof. The system mainly comprises 5 modules of 1) Issue establish/setup module for establishing new issue and the keywords thereof; 2) public opinion information collection module for retrieving and analyzing data retrieved by dredge technology, program, and community web-site open API; 3) public opinion information reputation analysis module for calculating each public opinion information evaluation score by text reputation analysis and community interactive fuzzy analysis; 4) issue trend analysis module for calculating issue trend score by disclosed method based on daily, weekly, or monthly public opinion information reputation evaluation score; 5) issue related public opinion information exchange module for presenting issue related public opinion information on each management interface or message alert of each system via internet exchange standards.

Abstract: A computing system is described that predicts a future action to be taken by a user of a computing device and determines, based on contextual information associated with the computing device, a current action being taken by the user. The computing system determines, based on the current action, a degree of likelihood of whether the user will be able to take the future action and predicts, based on the degree of likelihood, that the user will not be able to take the future action. The computing system sends information to the computing device indicating that the current action being taken by the user will lead to the user not being able to take the future action.

Abstract: Systems and methods are disclosed for question generation to infer the most probable cause from the observable outcome and known Noisy-OR causal relations. In embodiments, the outcomes are sorted by indices according to an order including but not limited to the outcomes' natural frequency order, expert-labeled order, machine-learning derived order, etc. According to their assigned indices, in embodiments, observed outcomes with lower indices are assigned for exact inference while observed outcomes with higher indices are assigned for variational inference. In embodiments, results of exact inference and variational inference are combined to predict the most probable cause. The unique combination of exact inference and variational inference according to outcome indices makes the probable cause inferring process faster.

Abstract: Systems and methods are provided for flux control of a qubit. A quantum system includes a microwave transmitter configured to provide a continuous microwave tone, and a qubit configured such that a portion of an energy spectrum of the qubit is responsive to an applied flux. The qubit also has an inductive element responsive to the continuous microwave tone to produce a Rabi oscillation within the qubit. A flux source is configured to apply a flux to the qubit.

Abstract: A qubit device includes an elongated thin film uninterrupted by Josephson junctions, a quantum device in electrical contact with a proximal end of the elongated thin film, and a ground plane that is co-planar with the elongated thin film and is in electrical contact with a distal end of the elongated thin film, in which the thin film, the quantum device, and the ground plane comprise a material that is superconducting at a designed operating temperature.

Abstract: Methods, systems, and apparatus for quantum phase estimation. In one aspect, an apparatus includes a quantum circuit comprising: a first quantum register comprising at least one ancilla qubit, a second quantum register comprising one or more qubits, wherein the second quantum register is prepared in a quantum state that is not an eigenstate of a unitary operator operating on the first and second quantum register; and a phase learning system, configured to learn phases of the eigenvalues of the unitary operator.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate external port measurement of qubit port responses are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analysis component that can analyze responses of a multi-mode readout device coupled to a qubit. The computer executable components can further comprise an assignment component that can assign a readout state of the qubit based on the responses. In some embodiments, the multi-mode readout device can be electrically coupled to at least one of the qubit or an environment of the qubit based on a defined electrical coupling value.

Abstract: Systems and methods are provided for coupling two flux qubits. A quantum circuit assembly includes a first flux qubit, having at least two potential energy minima, and a second flux qubit, having at least two potential energy minima. A system formed by the first and second qubits has at least four potential energy minima prior to coupling, each of the four potential energy minima containing at least one eigenstate of a system comprising the first flux qubit and the second flux qubit. A coupler creates a first tunneling path between a first potential energy minimum of the system and a second potential energy minimum of the system, and a second tunneling path between a third potential energy minimum of the system and a fourth potential energy minimum of the system. The coupler creates the first and second tunneling paths between potential energy minima representing states of equal bit parity.

Abstract: In some aspects, a heterogeneous computing system includes a quantum processor unit and a classical processor unit. In some instances, variables defined by a computer program are stored in a classical memory in the heterogeneous computing system. The computer program is executed in the heterogeneous computing system by operation of the quantum processor unit and the classical processor unit. Instructions are generated for the quantum processor by a host processor unit based on values of the variables stored in the classical memory. The instructions are configured to cause the quantum processor unit to perform a data processing task defined by the computer program. The values of the variables are updated in the classical memory based on output values generated by the quantum processor unit. The classical processor unit processes the updated values of the variables.

Abstract: This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages, the machine learning system to output an expected number of positive responses and an expected number of negative responses based on an input message, determining a threshold differential and a weight value using responses to the plurality of messages, and sending the input message in response to a differential between the expected number of positive responses and the weight multiplied by the expected number of negative responses being above the threshold differential.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media configured to receive configuration data describing a desired data set distribution, and, in response to receiving new data instances, use the configuration data and the new data instances to dynamically optimize the distribution of data already stored in a data reservoir that has been discretized into bins representing the desired data distribution.

Abstract: The present invention provides an adaptive content generation and dissemination system for generating adaptive content based on a personalized user profile and presenting adaptive content to the user. The system comprises an adaptive and predictive synchronous ecosystem that presents multiple methods for assembling and/or providing content to user terminals, such as, by way of example, content for instruction, training, knowledge transfer, and on-demand help. The present invention utilizes key human sensory learning mechanisms including graphics, video, audio, an/or interactive sessions, to enable different types of learners to efficiently and rapidly consume and thoroughly comprehend complex concepts and detailed information associated with transactions associated with service provider.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a distilled machine learning model. One of the methods includes training a cumbersome machine learning model, wherein the cumbersome machine learning model is configured to receive an input and generate a respective score for each of a plurality of classes; and training a distilled machine learning model on a plurality of training inputs, wherein the distilled machine learning model is also configured to receive inputs and generate scores for the plurality of classes, comprising: processing each training input using the cumbersome machine learning model to generate a cumbersome target soft output for the training input; and training the distilled machine learning model to, for each of the training inputs, generate a soft output that matches the cumbersome target soft output for the training input.

Abstract: According to some embodiments, an analytics computing environment data store may contain a set of electronic data records, each electronic data record being associated with a predictive analytic algorithm and including an algorithm identifier and a set of algorithm characteristic values. An analytics environment computer may receive an adjustment from a user associated with an enterprise, the adjustment changing at least one of the set of algorithm characteristic values for a predictive analytic algorithm. Deployment of the predictive analytic algorithm may then be initiated in an enterprise operations workflow and at least one result may be generated. The deployed predictive analytic algorithm may then monitor the result and generate an alert signal when the result exceeds a boundary condition.

Abstract: Systems and methods of database optimization and distributed computing are provided herein. In some embodiments, a method includes distributing remote agents to a plurality of remote computing systems, receiving incoming inventory from a database of available inventory via the remote agents, generating the database of available inventory that retains complete inventory records, generating thin locator style records for the complete inventory records, wherein the thin locator style records include key record identifiers, distributing a query to one or more of the remote agents, selecting the thin locator style records in response to the query, obtaining the complete inventory records corresponding to the thin locator style records of the selected key record identifiers, and providing the complete inventory records to a requestor.

Abstract: In one aspect, the present disclosure relates to a method for controlling access to a seat based on payments. The method can include: reading, at a card reader located at a seat, payment information from a payment card; validating the payment information; sending a control signal to a locking device to unlock the seat; detecting that an occupant left the seat; and in response to detecting that the occupant left the seat, sending a control signal the locking device to lock the seat.

Abstract: In a services exchange medium, buyers are able to search and hire service providers to get projects done quickly and cost effectively. A buyer-provider matching algorithm uses two scores to calculate a “Provider Search” score for each service provider: a “Reputation” score and a “Provider Match” score. In some embodiments, the “Reputation” score is a quantitative metric score of a service provider's overall reputation within the services exchange medium. In other embodiments, the “Reputation” score is configured to enhance the “Provider Match” score. Since reputation is an important attribute when searching for a qualified service provider, the “Provider Search” score takes into consideration the “Reputation” score. A provider results list generated from a provider search is sorted by the “Provider Search” score. As such, the provider results list is sorted in a significant manner useful to the buyer searching for the qualified service provider.

Abstract: A task management system and method that enables task assignment, that supports task monitoring, that produces task reminders, that verifies task completion, and that assigns rewards or penalties based on task performance. The task management system implements a method of receiving an indication of a particular task to be completed and first image data that corresponds to the particular task. The method further includes receiving second image data that corresponds to a second image, and processor comparing the first image data and the second image data. The processor can determine whether the particular task is completed based on comparing the first image data and the second image data. A notification indicating whether the particular task is completed is then sent.

Abstract: Aspects of the disclosure provide a computer-implemented method and system for the assignment of roadside assistance service providers such as tow trucks to distressed vehicles/drivers requiring roadside assistance. The methods and systems may include a roadside assistance service provider system with a collection module, an assignment module, and a feedback module. The collection module collects roadside assistance service provider information and historical statistics from real-world information and stores the information in a database that may then be analyzed using particular rules and formulas. The assignment module assigns particular roadside assistance service providers to particular distressed vehicles/drivers based on one or more characteristics.

Abstract: Various techniques for identifying a target worker group are described herein. In one example, a method includes detecting a response to a task from each worker in a group of workers and detecting a set of characteristics that correspond to each worker, wherein each characteristic comprises at least one attribute. The method can also include detecting a first attribute that corresponds to workers that provide responses with an accuracy above a threshold value. Furthermore, the method can include identifying the target worker group, the target worker group comprising the workers corresponding to the detected first attribute. The method may also include sending an additional task to the target worker group.

Abstract: A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

Abstract: A method for technical field service inventory management has been developed. A software platform manages product inventory for use by a field service technician. The platform creates objects for a work order, a product required, a location, an address/appointment, a product item, a product item transaction and a product item consumed. The product item consumed object is used to automatically update the status of product inventory as the product is used by the field service technician.