Abstract: A processor or integrated circuit includes a memory to store weight values for a plurality neuromorphic states and a circuitry coupled to the memory. The circuitry is to detect an incoming data signal for a pre-synaptic neuromorphic state and initiate a time window for the pre-synaptic neuromorphic state in response to detecting the incoming data signal. The circuitry is further to, responsive to detecting an end of the time window: retrieve, from the memory, a weight value for a post-synaptic neuromorphic state for which an outgoing data signal is generated during the time window, the post-synaptic neuromorphic state being a fan-out connection of the pre-synaptic neuromorphic state; perform a causal update to the weight value, according to a learning function, to generate an updated weight value; and store the updated weight value back to the memory.

Abstract: A robotic device is disclose as having deep reinforcement learning capability. The device includes non-transitory memory comprising instructions and one or more processors in communication with the memory. The instructions cause the one or more processors to receive a sensing frame, from a sensor, comprising an image. The processors then determine a movement transition based on the sensing frame and the deep reinforcement learning, wherein the deep reinforcement learning uses at least one of a map coverage reward, a map quality reward, or a traversability reward to determine the movement transition. The processors then update an area map based on the sensing frame and the deep reinforcement learning using a visual simultaneous localization and mapping (SLAM) process to determine the map updates.

Abstract: A deep learning based compression (DLBC) system applies trained models to compress binary code of an input image to a target codelength. For a set of binary codes representing the quantized coefficents of an input image, the DLBC system applies a first model that is trained to predict feature probabilities based on the context of each bit of the binary codes. The DLBC system compresses the binary code via adaptive arithmetic coding based on the determined probability of each bit. The compressed binary code represents a balance between a reconstruction quality of a reconstruction of the input image and a target compression ratio of the compressed binary code.

Abstract: Described is a system for estimating conditional probabilities for operation of a mobile device. Input data streams from first and second mobile device sensors are input into a neuronal network, where the first and second input data streams are converted into variable spiking rates of first and second neurons. The system learns a conditional probability between the first and second input data streams. A synaptic weight of interest between the first and second neurons converges to a fixed-point value, where the fixed-point value corresponds to the conditional probability. Based on the conditional probability and a new input data stream, a probability of an event is estimated. Based on the probability of the event, the system causes the mobile device to perform a mobile device operation.

Abstract: An artificial neural network and methods for performing computations on an artificial neural network include multiple neurons, including a layer of input neurons, one or more layers of hidden neurons, and a layer of output neurons. Arrays of weights are configured to accept voltage pulses from a first layer of neurons and to output current to a second layer of neurons during a feed forward operation. Each array of weights includes multiple resistive processing units having respective settable resistances.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using multi-task neural networks. One of the methods includes receiving a first network input and data identifying a first machine learning task to be performed on the first network input; selecting a path through the plurality of layers in a super neural network that is specific to the first machine learning task, the path specifying, for each of the layers, a proper subset of the modular neural networks in the layer that are designated as active when performing the first machine learning task; and causing the super neural network to process the first network input using (i) for each layer, the modular neural networks in the layer that are designated as active by the selected path and (ii) the set of one or more output layers corresponding to the identified first machine learning task.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a projection neural network. In one aspect, a projection neural network is configured to receive a projection network input and to generate a projection network output from the projection network input. The projection neural network includes a sequence of one or more projection layers. Each projection layer has multiple projection layer parameters, and is configured to receive a layer input, apply multiple projection layer functions to the layer input, and generate a layer output by applying the projection layer parameters for the projection layer to the projection function outputs.

Abstract: A device may receive information that identifies a set of tasks to be executed and precedence constraints associated with the set of tasks. The device may store the set of tasks in a data structure including a directed acyclic graph, and may determine a set of paths based on the information that identifies the set of tasks and the precedence constraints associated with the set of tasks. Each path, of the set of paths, may include particular tasks of the set of tasks. The device may determine a set of path execution times, for the set of paths, based on an artificial intelligence technique. The device may determine a critical path, of the set of paths, based on the set of path execution times. The device may determine an execution priority of the set of tasks based on the critical path. The device may provide the set of tasks for execution based on the execution priority.

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: The inventive concepts herein relate to performing block retrieval on a block to be processed of a urine sediment image. The method comprises: using a plurality of decision trees to perform block retrieval on the block to be processed, wherein each of the plurality of decision trees comprises a judgment node and a leaf node, and the judgment node judges the block to be processed to make it reach the leaf node by using a block retrieval feature in a block retrieval feature set to form a block retrieval result at the leaf node, and at least two decision trees in the plurality of decision trees are different in structures thereof and/or judgments performed by the judgment nodes thereof by using the block retrieval feature; and integrating the block retrieval results of the plurality of decision trees so as to form a final block retrieval result.

Abstract: Technologies are described herein for identification and presentation of changelogs relevant to a tenant of a multi-tenant cloud service. Change feature extraction is performed on changelogs associated with a tenant of the multi-tenant cloud service to identify features associated with the changelogs. Machine learning based classification can then be performed on the changelogs to classify the changelogs. Misclassification correction might also be performed on the classified changelogs. Machine learning can also be utilized to identify a subset of the changelogs as being relevant to the tenant. A user interface (UI) can then be generated and provided to the tenant that includes the subset of the changelogs. The tenant's interaction with the changelogs presented in the UI can be monitored and data describing the interaction can be used to modify machine learning models utilized for machine learning change classification and for determining the relevance of a changelog to the tenant.

Abstract: A computer-implemented method, computerized apparatus and computer program product, the method comprising: receiving a latency constraint on a Complex Event Processing (CEP) computation; monitoring progress of the CEP computation to determine a risk of violating the latency constraint; and, responsive to determining that a risk of violating the latency constraint exists, outputting at least one possible result of the CEP computation.

Abstract: With respect to an input data set which contains observation records of a time series, a statistical model which utilizes a likelihood function comprising a latent function is generated. The latent function comprises a combination of a deterministic component and a random process. Parameters of the model are fitted using approximate Bayesian inference, and the model is used to generate probabilistic forecasts corresponding to the input data set.

Abstract: The present invention relates to a method of associating at least one state in a plurality of states to a new value output by a drifting sensor, the method comprising: /a/ receiving a signal from the sensor, said signal comprising a plurality of values; /b/clustering the values of said signal into a number of clusters equal to the number of the plurality of states, each cluster being associated with a respective state in the plurality of states; /c/ for the new value of the signal, associating at least one state in said plurality of states or a probability rating representing the probability to be associated with one state in said plurality of states for said new value of the signal, the associated state or the associated probability rating being determined based on at least distances (dH, dL) of said new value of the signal to respective clusters.

Abstract: Systems and methods are described for facilitating operation of a plurality of computing devices. Data indicative of enumerated resources of a computing device is collected. The data is collected without dependency on write permissions to a file system of the one computing device. A condition of the computing device is determined based on historical data associated with enumerated resources of other computing devices. The identified condition can be updated as updated historical data becomes available. A communication to the computing device may be sent based on the identified condition.

Abstract: Disclosed herein is a method of operating an electronic device. The method includes activating a first sensing device, and determining a first probabilistic context of the electronic device relative to its surroundings. The method includes outputting the first probabilistic context, and determining a confidence measure of the first probabilistic context. Where the confidence measure of the first probabilistic context is below a threshold, the method includes activating a second sensing device, determining a second probabilistic context of the electronic device relative to its surroundings. outputting the second probabilistic context, and determining a confidence measure of the second probabilistic context. Where the confidence measure of the second probabilistic context is above the threshold, the second sensing device is deactivated and the method returns to determining the first probabilistic context.

Abstract: It is an object of the present invention to provide a predictive traffic law enforcement profiler apparatus and method which incorporates a means to determine current location, time, velocity and also incorporates a means to utilize a database derived from historic traffic law enforcement records, crowd sourced records and historical traffic data and also incorporates a predictive processing means to provide historic traffic law enforcement records and estimates of enforced speed limits and enforcement profiles, patrol locations and schedules of traffic law enforcement to a driver.

Abstract: A computer-implemented method of determining an approximated value of a parameter in a first domain is described. The parameter is dependent on one or more variables which vary in a second domain, and the parameter is determined by a function which relates sets of values of the one or more variables in the second domain to corresponding values in the first domain.

Abstract: Techniques relate to operating a quantum processing device is provided. The device includes at least two fixed-frequency quantum circuits coupled to a frequency-tunable coupler. The frequency of the coupler can be modulated so as to drive at least two selectively addressable energy transitions in the quantum processing device. The method includes modulating the frequency of the coupler so as to drive two first-order energy transitions. This is done so as to transfer (at least partly) an excitation of one of the quantum circuits to at least another one of the quantum circuits, via the tunable coupler. Related quantum processing devices are also provided.

Abstract: Approaches useful to operation of scalable processors with ever larger numbers of logic devices (e.g., qubits) advantageously take advantage of QFPs, for example to implement shift registers, multiplexers (i.e., MUXs), de-multiplexers (i.e., DEMUXs), and permanent magnetic memories (i.e., PMMs), and the like, and/or employ XY or XYZ addressing schemes, and/or employ control lines that extend in a “braided” pattern across an array of devices. Many of these described approaches are particularly suited for implementing input to and/or output from such processors. Superconducting quantum processors comprising superconducting digital-analog converters (DACs) are provided. The DACs may use kinetic inductance to store energy via thin-film superconducting materials and/or series of Josephson junctions, and may use single-loop or multi-loop designs. Particular constructions of energy storage elements are disclosed, including meandering structures.

Abstract: A method for processing tensor data for pattern recognition and a computer device are provided. The method includes: constructing a decision function by the optimal projection tensor W which has been rank-one decomposed together with the offset scalar b, and inputting to-be-predicted tensor data which has been rank-one decomposed into the decision function for prediction.

Abstract: A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.

Abstract: In some aspects, a quantum computing system includes a multi-dimensional array of qubit devices. Coupler devices reside at intervals between neighboring pairs of the qubit devices in the multi-dimensional array. Each coupler device is configured to produce an electromagnetic interaction between one of the neighboring pairs of qubit devices. In some cases, each qubit device has a respective qubit operating frequency that is independent of an offset electromagnetic field experienced by the qubit device, and the coupling strength of the electromagnetic interaction provided by each coupler device varies with an offset electromagnetic field experienced by the coupler device. In some cases, readout devices are each operably coupled to a single, respective qubit device to produce qubit readout signals that indicate the quantum state of the qubit device.

Abstract: Methods and systems for automated tuning of a service configuration are disclosed. An optimal configuration for a test computer is selected by performing one or more load tests using the test computer for each of a plurality of test configurations. The performance of a plurality of additional test computers configured with the optimal configuration is automatically determined by performing additional load tests using the additional test computers. A plurality of production computers are automatically configured with the optimal configuration if the performance of the additional test computers is improved with the optimal configuration.

Abstract: Methods and apparatus for dynamic modification of interruptibility settings of network-accessible resources are disclosed. A system includes a resource manager and a plurality of resource instances, each of which has an interruptibility setting. In response to an instance acquisition request, the resource manager allocates an instance with a first interruptibility setting, allowing the resource manager to revoke the client's access to the instance without a notification. In response to an approval of an interruptibility upgrade request, the resource manager modifies the interruptibility setting to a second setting that allows the client to retain access to the instance for at least a specified time. Respective billing amounts for the client's use of the instance are determined for each of the interruptibility settings used.

Abstract: The invention relates to a method and system for booking reservations in a booking system and synchronizing bookings among several booking systems. The system comprises at least one booking system; at least one service provider; a mediator service; a client, and at least one client terminal device that can be a mobile device and that includes a dialogue. The client uses the dialogue to enter information into the system and the mediator receives inquiries and answers from the at least one booking system, the at least one service provider, and the at least one client. The mediator transfers and adapts information between them. The method and system are particularly suited for use with mobile phone users by Small Message Service messages.

Abstract: Exemplary systems and methods for linking access credentials with payment accounts and facilitating access to events based on associations between the payment accounts and the events are disclosed. One exemplary method includes receiving, at a computing device, an authorization request for purchasing access to an event where the authorization request includes event content, ticket content, and payment content, and where the authorization request is associated with a merchant. The method also includes determining, at the computing device, whether the merchant and/or the event are registered, and when the merchant and the event are registered, storing, in memory of the computing device, a link between a payment account identified in the payment content and the event, whereby the link is able to be retrieved, by the merchant, via a subsequent authorization request, to indicate access to the event.

Abstract: The system determines even-spaced quantiles for network optimization. The system may utilize authorization level to expected network conversion. The system may be used in connection with yield management systems, inventory control systems, or revenue management systems.

Abstract: Systems and methods are provided for facilitating remote check-in and associated proxy shopping operations. A proxy customer of a merchant may be a friend of a remote customer that is making a purchase at the merchant on behalf of the remote customer. A beacon may alert the proxy customer to check-in to the merchant. The proxy customer may forward the alert to the remote customer. The remote customer may request remote check-in responsive to the alert. A payment provider or service provider may perform a remote check-in of the remote customer and a proxy check-in of the proxy customer. When the proxy customer wishes to make a proxy purchase for the remote user, the merchant may verify the proxy customer's identity and charge the payment provider. The payment provider may then transfer funds from remote customer's account to the merchant's account.

Abstract: A method, medium, and system to receive a planned flight schedule and an actual flight schedule; determine root cause disturbances for the actual flight schedule based on the planned flight schedule and the actual flight schedule; evaluate a robustness of the planned flight schedule based on an execution of a simulation-based model to generate a set of quantitative metrics for the planned flight schedule; generate a record of the root cause disturbances and a record of the set of quantitative metrics for the planned flight plan; evaluate a robustness of a test flight schedule based on an execution of the simulation-based model and the determined root cause disturbances applied to the simulation-based model to generate a set of quantitative metrics for the test flight schedule; and generate a record of the set of quantitative metrics for the test flight plan.

Abstract: The present disclosure provides machine-exception handling methods and learning rate adjustment methods and apparatuses. One exemplary method comprises: acquiring a gradient consumption time of a target machine, wherein the gradient consumption time is used to indicate a gradient related time consumed by the target machine in a training process; determining whether the gradient consumption time satisfies a predetermined condition compared with a pre-acquired average consumption time, wherein the average consumption time is used to indicate an average value of the gradient related time consumed by all machines other than the target machine in a cluster in the training process; and determining that the target machine is abnormal if the gradient consumption time satisfies the predetermined condition compared with the average consumption time. The present disclosure addresses the technical problem of high training costs caused by low computation or communication speeds of some machines in a cluster.

Abstract: A digital controller controls discharges of a utility from a reservoir to a plant during a first time period and recharges of said utility from the plant back to the reservoir during a second time period. The reservoir can be any storage device. When the utility is electric power, the discharges make up for the power not generated by the plant due to an accident. The digital controller may use a balanced nonlinear transfer function to control the recharges based on the discharges. If there is a long duration discharge that extends beyond the end of the first time period, the digital controller may use a Monte Carlo simulation along with a tail distribution for the long duration discharge and the balanced transfer function to forecast the recharge required during the second time period.

Abstract: One or more computer-readable storage media having computer-executable instructions embodied thereon are described. When executed, the computer-executable instructions cause at least one processor to define an analysis and an analysis data object related to a part, data for an analysis of the part at least partially available from a plurality of disparate applications related to the design, fabrication and testing of the part, verify that all the data needed for the analysis, as defined within the analysis data object, is available from at least one source of data, invoke an analysis of the part upon receipt of all of the data needed for the analysis, the analysis results populating the analysis data object, and storing the analysis data object such that the analysis results therein occur in a format unrelated to any of the applications that generated data used in the analysis.

Abstract: Embodiments of the present disclosure present a calculated value within a card view presentation in order to overcome technical problems in presenting useful card view presentations on mobile computing devices. In some embodiments, the calculated value is a summary, analysis, or other type of information generated based on data associated with cards that are in a given lane. In some embodiments, further technical problems relating to the limitations of the interface of the mobile computing device in adjusting calculated view settings are addressed by presenting a simplified configuration interface. The simplified configuration interface presents a mobile-friendly view of limited configuration settings to allow the user to easily change settings relevant to the calculated value and/or the card view, and thereby adjust the card view despite the limitations of the interface of the mobile computing device.

Abstract: A reminder notification system includes a first terminal and a second terminal which include a reminder notification unit configured to provide a reminder of a predetermined task. The first terminal includes a task registration setting unit configured to register and set the predetermined task as a target task. The first terminal and the second terminal each include a task information share unit configured to share the target task that is registered and set in the task registration setting unit between the first terminal and the second terminal. At least one of the first terminal and the second terminal includes a notification terminal setting unit configured to set any of the first terminal and the second terminal as a notification terminal configured to provide the reminder on the basis of content of the target task when executable conditions of the target task are satisfied.

Abstract: Automatic teller machine network management control system executes a deterministic optimization process based on a deterministic forecasted withdrawal demand to determine a cash refill amount, and executes a stochastic simulation process to determine an overall automatic teller machine network management cost based on a stochastic forecasted withdrawal demand and the cash refill amount. The executing of the deterministic optimization process and the executing of the stochastic simulation process are iterated based on updated scaling parameter from the stochastic simulation process and the cash refill amount determined by the deterministic optimization process at current iteration until a termination threshold is met.

Abstract: Determining an inventory target for a node of a supply chain includes calculating a demand stock for satisfying a demand over supply lead time at the node of the supply chain, and calculating a demand variability stock for satisfying a demand variability of the demand over supply lead time at the node. A demand bias of the demand at the node is established. An inventory target for the node is determined based on the demand stock and the demand variability stock in accordance with the demand bias.

Abstract: Systems, apparatuses, and methods for displaying a visual task board comprising a permitted assignment user interface are disclosed. Displaying a permitted assignment user interface may comprise generating a first card representing a first record, wherein the first record comprises an information element that has a first value of a visualization metric, generating an output for display, the output comprising a first lane representing the first value of the visualization metric and comprising the first card, and, in response to operator input indicating a primary context and on a condition that an association between the primary context and the first record is prohibited, updating the output by generating an updated first card representing the first record and indicating that the association between the first record and the primary context is prohibited, and generating an updated output for display omitting the first card and comprising the updated first card.

Abstract: Disclosed are various embodiments for scalable workflow processing. In one embodiment, a plurality of decision applications each embody a functional expression of a corresponding one of a plurality of workflow definitions. Each of the plurality of decision applications is configured to be repeatedly instantiated. A workflow execution application is configured to orchestrate an execution of each one of a plurality of workflow instances. The workflow execution application is in data communication with each instance of a respective one of the plurality of decision applications. Each of the plurality of decision applications is configured to determine a next action to be taken for respective ones of the plurality of workflow instances.

Abstract: Disclosed are systems and methods that enable both the real-time monitoring and historical tracking of events and actions performed by disparate systems and software applications associated with a computing device that also permit insight into the relationships between such events and actions. The inventive systems and methods synchronously and asynchronously capture event data from various event sources associated with a computing device. The event data can be enriched before correlating associated event data into transactions resulting in telemetry information to provide a more accurate and complete picture of what activities the computing device is performing and how the computing device is utilized to accomplish particular tasks. This telemetry information enables the system to perform descriptive and predictive analytical processes as well as artificial intelligence that provide valuable insights to improve end user and system performance.

Abstract: A method and apparatus for assuring delivery and value from a wide array of investments in processes, people, technologies, and tools including modeling project types and risk profiles, managing and conducting processes for assuring delivery and value, modeling and optimizing project teams, managing all associated information through computerized means, and rendering widely accessible analytic views representing interactive graphical representations. This invention covers entire life cycles of investments whose outcomes are achieved through projects, from initial inception to retirement or termination.

Abstract: Providing an ontology for a service-oriented architecture deployment in a computing environment, the ontology providing organization and identification of services in a development-time service repository of the service-oriented architecture. The services in the development-time service repository are implemented using varying service implementation technologies and the ontology supports inquiries about services implemented using the varying service implementation technologies. The providing the ontology includes linking to Reusable Asset Specification artifacts associated with the services in the development-time service repository, the linking using an Open Services for Lifecycle Collaboration (OSLC) specification.

Abstract: A method and system are provided. The method includes monitoring, by a processor-based monitoring device, work metrics, indicative of work performance, of users. The method further includes soliciting input, by a user input solicitation device, from any of the users who have success regarding at least one work task, regarding activities which led to the success and suggestions on how other users can benefit from the input. The method also includes providing, by an input dissemination device, the input to a particular user identified from among the users as needing improvement in performing the at least one work task. The success is determined by evaluating the work metrics with respect to at least one threshold.

Abstract: Seamless transition from a Component Business Model (CBM) to a Services Oriented Architecture (SOA) is achieved by converting a tabular representation of a CBM Heat Map to a Unified Modeling Language (UML) representation, and automatically converting the UML representation of a CBM Heat Map to a first iteration of input used during the subsequent SOA solution development using Service Oriented Modeling and Architecture (SOMA).

Abstract: A system and method is disclosed for parallelizing order-by-order planning in a supply chain network. The system includes a database configured to store data describing a demand priority sequence, each demand priority sequence comprising at least one demand of an end-item and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database, the server accesses the data describing the demand priority sequence and accesses the data describing the supply chain network. The server further creates mapping tables for each end-item, generates a dependency map for each end-item, generates a list of demand levels, and generates an order plan of end-items for planning in parallel comprising the orders planned for the demands at each demand level.

Abstract: A computerized system for selecting a cargo carrier includes a host computer system having access to data of a cargo carrier. The host computer system is accessed by a user via an internet connection. Input means are provided for receiving information from the user into the host computer system concerning cargo to be transported. Output means are provided for sending information to a user of possible cargo transportation options.

Abstract: Improving automated package delivery to mobile delivery receptacles to allow accurate and reliable package deliveries comprises a delivery receptacle for an automated package delivery via an unmanned aerial delivery device. The delivery receptacle is notified of a pending delivery and travels to a receiving location. The delivery receptacle emits infrared (“IR”) beacons from one or more IR beacon transmitters. An aerial delivery device detects the IR beacon and uses the beacons to navigate to the delivery receptacle. The delivery receptacle receives IR beacon responses from the aerial delivery device and continually or periodically directs the IR beacons in the direction of the aerial delivery device. The aerial delivery device deposits the package in the delivery receptacle. After receiving the package, the delivery receptacle transports the package to a secure location, such as into a garage.

Abstract: An aerial drone parcel delivery/transfer management system includes an aerial drone parcel delivery/transfer management server (ADPTMS) and a plurality of aerial drone landing pads (ADLPs). Each ADLP has a corresponding ADLP address with a unique ADLP identifier (e.g., a manufacturing serial number); most-recently known ADLP geolocation data (e.g., geospatial coordinates); and possibly most-recently known ADLP elevation data. The ADPTMS communicates with order management/fulfillment servers associated with online stores, which communicates with aerial drone parcel delivery/transfer services for dispatching aerial drones to particular ADLPs corresponding to particular ADLP addresses as part of online orders fulfillment. An ADLP presents a machine readable code such as a quick response (QR) code that is captured by an aerial drone and processed to verify the ADLP's identity. An ADLP can output local RF and/or optical guiding signals to aid aerial drone navigation to the ADLP.

Abstract: A pharmaceutical filling system for a high volume pharmacy is described. The system can include a manual pick/pack device and method. The system may include a rotation assembly, a left door and a right door, both positioned below the rotation assembly, a left divider positioned below the left door, and a right divider positioned below the right door, and a left gathering table positioned below the left divider, and a right gathering table positioned below the right divider. The system may also include a control device in electronic communication with the rotation assembly, the doors and the dividers for control of same.

Abstract: Systems and methods relating to monitoring cargo are provided. Various embodiments provide features relating to: (1) monitoring characteristics of cargo using a single device that may be disposable; (2) generating alerts based on a variety of temperature conditions, such as multiple temperature thresholds; (3) providing multiple levels of alerts and escalating alerts to different users; (4) providing an indication of an end of trip based on location data and data from sensor(s); (5) reducing power of transmissions between devices; (6) using frequency diversity features to communicate between devices; (7) providing configurable reporting and/or sensor monitoring parameters, and changing reporting and/or sensor measurement periods; (8) allowing for communication with devices across multiple frequency bands; (9) utilizing secondary communication circuits to communicate with different devices, such as across different frequency channels and/or bands; and (10) using a movement detection device (e.g.