Abstract: In various examples, a neural network may be trained for use in vehicle re-identification tasks—e.g., matching appearances and classifications of vehicles across frames—in a camera network. The neural network may be trained to learn an embedding space such that embeddings corresponding to vehicles of the same identify are projected closer to one another within the embedding space, as compared to vehicles representing different identities. To accurately and efficiently learn the embedding space, the neural network may be trained using a contrastive loss function or a triplet loss function. In addition, to further improve accuracy and efficiency, a sampling technique—referred to herein as batch sample—may be used to identify embeddings, during training, that are most meaningful for updating parameters of the neural network.

Abstract: An electrophoresis chip-based setup for detection of different ions in buffer solution. The device is able to differentiate ions in, e.g., real soil or other solutions, and to detect concentration of a specific ion in the solution. Fabrication of the electrophoresis chip can use a soft lithography based molding process. The chip can be made out of PDMS on a glass substrate where on-chip valves were used to control timing of injecting sample and buffer solutions. Detection electrodes are used to detect the presence of ions over a period of several minutes. A controllable high voltage power supply system and related signal acquisition, processing and detection setup can be implemented with the sensor in a system. A microfluidic system for automated collection of soil sample through a porous ceramic and using vacuum suction can be used.

Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.

Abstract: Methods and apparatuses are described for system for identifying and mitigating high-risk database queries through ranked variance analysis. A server identifies database queries executed against databases in a production computing environment within a predetermined time period, each database query associated with execution plans and each execution plan having corresponding plan data elements. For each database query: the server generates execution variance data for the execution plans for a database query based upon the corresponding plan data elements, comprising: determining an execution time variance between the execution plans; and determining a buffer gets variance between the execution plans. The server ranks the database queries according to (i) the execution time variance, and (ii) the buffer gets variance.

Abstract: A tracking system comprising: a radio frequency (RF) signal circulator; an iridium modem coupled to first port of the circulator; an antenna coupled to second port of the circulator, wherein the circulator passes a signal transmitted by the modem to the antenna when the switch is switched to a first mode; a low noise amplifier (LNA) coupled to third port of the circulator, wherein the circulator passes RF signals received from the antenna to the LNA; a diplexer coupled to an output of the LNA; a GNSS receiver coupled to a first output of the diplexer through a GNSS filter; an iridium filter coupled to a second output of the diplexer; wherein the switch couples the iridium filter to the modem when the iridium modem is in a receiving mode, and wherein the switch couples the modem to the first port when the modem is in a transmitting mode.

Abstract: The invention relates to a bistable piezoelectric cantilever-based vibration energy harvester that increases the energy harvested over a broad frequency of vibrations by introducing bistability to the cantilever through use of two repelling magnets, one mounted on the cantilever and one at a location facing the first. This increases the amplitude and velocity of cantilever vibration, hence harvested power, while nonlinearity makes the system efficient over almost the entire range of frequencies, lower than the natural resonant frequency of the linear version without the magnets. Such improved performance is seen while the cantilever remains in the bistable mode.

Abstract: A soil sensor includes a housing, an antenna disposed within the housing, a measurement circuit disposed within the housing and operatively connected to the antenna, the circuit configured to measure impedance of soil at a plurality of different frequencies using the antenna as a sensor electrode, and a wireless interface disposed within the housing and operatively connected to the antenna and configured for wireless communications over the antenna at its communications frequency.

Abstract: According to one example of the present invention, a cooling system is provided. The cooling system comprises a water-cooled air conditioning module for cooling air from a chamber. The chamber is arranged for receiving air to be cooled and hot humid air. The cooling system also comprises a control system for controlling the flow of hot humid air to the chamber such that the air input to the air conditioning module has a predetermined relative humidity level within a predetermined range.

Abstract: Resource management for data centers is disclosed. In an exemplary embodiment, a method includes determining electrical power usage for the data center, and determining cooling fluid usage for the data center. The method also includes processing a resource utilization cap for the data center, and adjust ng at least one of the electrical power and the cooling fluid for the data center based on the resource utilization cap.

Abstract: A method for determining regions of influence of a plurality of fluid moving devices in an infrastructure is provided. In the method, a plurality of clusters are generated, with each of the plurality of clusters containing a representation of fluid supply data pertaining to a fluid moving device and one or more of the plurality of sensors based upon collected sensor and fluid supply data. In addition, regions of influence of each of the plurality of fluid moving devices are identified from an analysis of the generated clusters.

Abstract: Visual structures are produced to represent corresponding motifs, where the motifs correspond to repeating patterns in an input data set, where sizes of the visual structures are based on values of a characteristic associated with the motifs, and where a first of the motifs is nested within a second of the motifs to represent a hierarchical relationship of the patterns represented by the first and second motifs. The visual structures of corresponding motifs are presented for display in a visualization screen, where the visualization screen depicts the data in the input data set with the visual structures overlapping parts of depicted data. Interactive input is received specifying modification of a region containing motifs, wherein the specified modification includes interactive distortion of the visual structures in the region to change a size of the visual structures in the region.

Abstract: System and methods are disclosed to handle power imbalance in one or more distributed generation (DG) units: detecting islanding at time t1; selecting Phasor Measurement Unit (PMU) measurements during a pre-defined time window [t1-?, t1]; checking the time window for an abrupt voltage change; if no sudden change of voltage is detected, determining an average value of sPMUt between t1-? and t1 and using the average as a best estimate of a system power imbalance; if a sudden change of voltage is detected at time instant t2, determining the average value of sPMUt between t1-? and t2 and using the average as a best estimate of the system power imbalance; and adjusting a power reference of the DG units based on the best estimated system power imbalance.

Abstract: Determining a sustainability impact for available data center architectures. A data center is accessed by a computer. Two or more functional parameters of the data center are then evaluated by the computer. Then, the computer combines the two or more evaluated functional parameters into a quantified judgment to determine a sustainability impact of available architectures of the data center.

Abstract: A virtual power infrastructure for managing distribution of power to a plurality of power demanding units from a plurality of power generators includes a demand manager having logical descriptions of the power demanding units, in which the demand manager is configured to determine power load demands of the power demanding units using the logical descriptions of the power demanding units, and a capacity manager having logical descriptions of the power generators. The capacity manager is configured to determine allocation of power capacity supplied to the power generators from one or more of the power generators to meet the power load demands of the power demanding units, while satisfying one or more predetermined constraints associated with at least one of the power demanding units and the power generators.

Abstract: In a method of determining cooling resource capacity allocations for resource units in a shared environment for optimized operations, cost parameters associated with operating the resource units in at least one of delivering and receiving cooling resources are identified, one or more constraints associated with operating the resource units are identified, in which at least one of the one or more constraints comprises meeting at least a total cooling demand of components in the shared environment, a cost function that correlates the plurality of identified cost parameters is developed, a minimized cost function is solved for through application of a Lagrange multiplier subject to the identified one or more constraints, and cooling resource capacity allocations for the resource units that result in optimized operations in the shared environment based upon the minimized cost function solution are determined.

Abstract: A method of translation of a chart associated with a graphical modeling environment into an input/output-extended finite automata (I/O-EFA) model is provided. The method includes receiving a representation of the chart and processing the representation of the chart with a computing device by (a) representing atomic models for each individual state of the chart, (b) applying composition rules to interconnect the atomic models while preserving state execution and transition behaviors to obtain the I/O-EFA model.

Abstract: In a method for managing an infrastructure, a utilization of a plurality of infrastructure components in performing an objective is simulated. In addition, a resource demand for the infrastructure associated with the simulated utilization of the infrastructure components is determined and a supply of resources by a plurality of available sources to meet the determined resource demand is simulated. Moreover, at least one metric associated with the determined resource demand and the simulated supply of resources by the plurality of available sources is determined.

Abstract: A system for managing distribution of a cooling medium includes a sensor configured to detect a condition, a first agent configured to receive the detected condition and to determine whether a characteristic of the cooling medium controlled via a first actuator is to be manipulated based upon the detected condition. The system also includes a second agent configured to receive at least one of the detected condition and the flow manipulation determination of the first actuator and to determine whether a characteristic of the cooling medium controlled by a second actuator is to be manipulated based upon the at least one of the detected condition and the characteristic manipulation determination of the first actuator.

Abstract: To perform time slice-based visual prediction, a weighted moving aggregate of data values in a data set is calculated over previous time slices to predict data values based on interactive user input. A visual accuracy indicator is generated for display to indicate a quality of prediction of data values at different times. A visualization presents data values from the data set and the predicted data values, where the data values from the data set and the predicted data values are represented as corresponding cells.

Abstract: In a method for determining a substantially optimized fluid flow distribution in a structure configured to be cooled by a fluid moving device, an indication to activate the fluid moving device according to a reference temperature setpoint of a plurality of sensors is outputted. In addition, conditions detected in multiple areas of the structure with the plurality of sensors are received, a master sensor among the plurality of sensors based upon the detected conditions is identified; and a master reference temperature setpoint for the master sensor that substantially optimizes fluid flow distribution in the structure based upon conditions detected by the plurality of sensors in response to changes in a characteristic of fluid flow supplied to the plurality of sensors is determined.