Hewlett-packard Development Company, L.P.

Hewlett Packard Enterprise Development LP

Micro Focus Lcc

Geoff M Lyon

Salil Pradhan

Chandrakant D Patel

Cullen Edwin Bash

Vinay K Deolalikar

Alipio Caban

Manish Marwah

Alan Andrew McReynolds

Lester Ortiz

Martin Arlitt

Amip J Shah

Cyril Brignone

Ratnesh Kumar Sharma

Ian N Robinson

Mehrban Jam

Martha Lurie Lyons

Bill Serra

Gowtham Bellala

Jorge E Badillo

Henri Jacques Suermondt

Malena Rosa Mesarina

Abdlmonem H Beitelmal

Zhikui Wang

Henry W Sang, Jr

Joseph Ku

Thomas W Christian

Niru Kumari

Rongliang Zhou

Henry Sang

Aliplo Caban

Allison Littman

Hyungsul Kim

Allpio Caban

Marc A Viredaz

John Grundback

Mi Zhang

Examples relate to throttling data access using a data porch. In some examples, an analysis engine is used to access memory and prepare a data response for a data request that is obtained from the data porch via a throttled data buffer. The data response is sent to the data porch via the throttled data buffer, where the throttled data buffer has a throttled data bandwidth that limits a data flow of data requests and data responses between the analysis engine and the data porch. In response to receiving the data response from the analysis engine via the throttled data buffer, the data porch is used to provide the data response to a networked device.

Data porch for throttling data access

Performance testing based on variable length segmentation and clustering of time series data is disclosed. One example is a system including a training module, a performance testing module, and an interface module. The training module generates a trained model to learn characteristics of a system of interest from training time series data by segmenting the training time series data into homogeneous windows of variable length, clustering the segments to identify patterns, and associating each cluster with a cluster score. The performance testing module analyzes system characteristics from testing time series data by receiving the testing time series data, and determining a performance metric for the testing time series data by analyzing the testing time series data based on the trained model. The interface module is communicatively linked to the performance testing module, and provides the performance metric via an interactive graphical user interface.

Performance testing based on variable length segmentation and clustering of time series data

Examples relate to providing throttled data memory access. In some examples, a locking mechanism is used to activate a corresponding memory lock after receiving a first read access cycle. While the corresponding memory lock is active, responses to subsequent read access cycles are prevented. After the corresponding memory lock deactivates, a second read access cycle is responded to with access to the memory.

Throttled data memory access

According to an example, a method for area occupancy information extraction may include receiving a signal from a sensor, and determining a number of occupants moving within a first area based on the signal. The method may further include determining when an occupant is moving and a direction of motion of the occupant based on the signal, and determining a most likely trajectory based on the direction of motion of the occupant. The method may also include controlling, by a processor, a service in the first area based on the determination of the number of occupants, the determination of when the occupant is moving and the direction of motion of the occupant, and/or the determination of the most likely trajectory.

Area occupancy information extraction

A system and method for determining installation locations for meters are disclosed herein. The method includes generating, via a computing device, a resource map for a site, wherein the resource map includes inflow locations and corresponding outflow locations for a resource. The method also includes identifying a number of tiers within the resource map based on the inflow locations and the corresponding outflow locations for the resource. The method further includes determining a number of recommended installation locations for meters based on the tiers.

Determining installation locations for meters

Determining sensor placement in distributed networks includes identifying measurement locations in a distributed network with a tree topology and selecting a subset of the measurement locations for sensor placement with a mutual information function.

Determining sensor placement in distributed networks

A method for detecting power consumption anomalies. The method obtains two different time power series and compares them to generate a dissimilarity matrix. A dimensionality reduction equation is applied to the dissimilarity matrix to obtain a low dimensional embedding of the power data. A probability score of each of the time series being anomalous is then calculated.

Detecting anomalies in power consumption of electrical systems

A method and apparatus for an RFID tag to facilitate the determination of its location while at the same time minimizing the energy drain on the tag's battery. At predetermined intervals, the tag transmits its identifier along with status information. If the status indicates that the tag is in a new location, the tag will then expend additional battery energy by participating in the determination of its location. The distance from an interrogator to the tag is determined by transmitting two signals from the interrogator that propagate at different velocities. By determining the difference in arrival times at the tag of the two signals, the distance from the interrogator to the tag can be determined.

Method and apparatus for localization of RFID tags

The present invention describes an optical reader system for reading a tag associated with an object in a datacenter. The optical reader system includes: a fixed first optical reader including a first image capturing device and a first light source, wherein the first light source is capable of directing light towards the tag of an object, wherein the first image capturing device is capable of taking an optical image of the tag when illuminated by light from the first light source; and a processing device capable of processing optical image data from the first image capturing device to determine tag information.

Optical system and method for monitoring and locating objects

A path-based identifier is provided. An entity identifier is generated at an entity of a supply chain and the entity identifier is based on a reliability of the entity of the supply chain at which the entity identifier is generated. In addition, an updated path-based identifier is stored based on a predetermined function, where the entity identifier is an input to the predetermined function.

Providing a path-based identifier

In one embodiment of the present invention, a source point of a supply chain secures shipment of an object by devising an encryption key and encrypting a message using the encryption key to produce an encrypted message. A portion or portions of the encryption key and the encrypted message are included or incorporated within the object to be shipped, packaging surrounding the object, and/or labels affixed to the object or packaging, prior to shipping the object to a destination point within the supply chain. Upon receipt of the object from the supply chain, the destination point can extract the portion or portions of the encryption key and the encrypted message from the object, packaging surrounding the object, and/or labels affixed to the object or packaging, obtain the remaining portion of the encryption key directly from the source point, reassemble the encryption key, and decrypt the encrypted message to produce a computed message. The destination point can then obtain the original message from the source point and compare the original message to the decrypted message in order to determine whether or not the shipment is authentic.

Method and system for shipment authentication

Systems and methods of analyzing energy consumption using node similarity are disclosed. An example of a method may be carried out by program code stored on non-transient computer-readable medium and executed by a processor. The method includes assigning a similarity score to a plurality of nodes using at least one of: domain based rules, attribute based similarity metrics, and machine learning. The method also includes identifying a similar node from the plurality of nodes, for a node under consideration, based on the similarity score. The method also includes determining energy consumption of the node under consideration based on energy consumption of the similar node.

Energy consumption analysis using node similarity

Information from a package is read. An encryption key is generated from the information read from the package. A text unit is encrypted using the encryption key. The encrypted text unit is affixed to the package.

Encrypting a text unit from package information for package authentication

A vent tile includes at least one louver, an actuator configured to control the at least one louver, a thermal imaging sensor configured to monitor temperature of a remotely located apparatus through thermal imaging of a surface of the apparatus, and a controller configured to control the actuator based upon the monitored temperature.

Vent tile with an integrated thermal imaging sensor and controller

In an embodiment, a device characterization system includes a sensor to sense an attribute of a device, a processor, and an algorithm executable on the processor to collect time series data of the attribute from the sensor, detect edges in the data, identify clusters from the edges, label the clusters based on input from a supervisor, and estimate device characterization parameters from the clusters.

Growing community of inventors

Menlo Park, CA, United States of America

Geoff M Lyon