Abstract: The present invention discloses method for preparing deoxycholic acid (DCA) or an ester thereof or a pharmaceutically acceptable salt thereof. Said compounds may be applied to remove a fat deposition.

Abstract: In an embodiment, a method of real-time disease recognition in a crop field is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images. The method further comprises causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.

Abstract: A method can include determining a distance of a person's face from a camera that captured an image of the person's face, determining a size of a display in communication with the camera, and scaling the image based on the determined distance of the person's face and the determined size of the display.

Abstract: A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland.

Abstract: The present invention discloses method for preparing deoxycholic acid (DCA) or an ester thereof or a pharmaceutically acceptable salt thereof. Said compounds may be applied to remove a fat deposition.

Abstract: In an approach, hyperspectral and/or multispectral remote sensing images are automatically analyzed by a nitrogen analysis subsystem to estimate the value of nitrogen variables of crops or other plant life located within the images. For example, the nitrogen analysis subsystem may contain a data collector module, a function generator module, and a nitrogen estimator module. The data collector module prepares training data which is used by the function generator module to train a mapping function. The mapping function is then used by the nitrogen estimator module to estimate the values of nitrogen variables for a new remote sensing image that is not included in the training set. The values may then be reported and/or used to determine an optimal amount of fertilizer to add to a field of crops to promote plant growth.

Abstract: A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.

Abstract: Systems and method for computing yield values through a neural network from a plurality of different data inputs are disclosed. In an embodiment, a server computer system receives a particular dataset relating to one or more agricultural fields wherein the particular data set comprises particular crop identification data, particular environmental data, and particular management practice data. Using a first neural network, the server computer system computes a crop identification effect on crop yield from the particular crop identification data. Using a second neural network, the server computer system computes an environmental effect on crop yield from the particular environmental data. Using a third neural network, the server computer system computes a management practice effect on crop yield from the management practice data.

Abstract: A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland.

Abstract: The present invention discloses method for preparing deoxycholic acid (DCA) or an ester thereof or a pharmaceutically acceptable salt thereof. Said compounds may be applied to remove a fat deposition.

Abstract: In an approach, hyperspectral and/or multispectral remote sensing images are automatically analyzed by a nitrogen analysis subsystem to estimate the value of nitrogen variables of crops or other plant life located within the images. For example, the nitrogen analysis subsystem may contain a data collector module, a function generator module, and a nitrogen estimator module. The data collector module prepares training data which is used by the function generator module to train a mapping function. The mapping function is then used by the nitrogen estimator module to estimate the values of nitrogen variables for a new remote sensing image that is not included in the training set. The values may then be reported and/or used to determine an optimal amount of fertilizer to add to a field of crops to promote plant growth.

Abstract: A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.

Abstract: Disclosed is a method of manufacturing a lead frame, which comprises the steps of: providing an electrically-conductive base material having first and second planar sides; forming a plurality of conductive contact points on the first planar side of the base material; providing a non-conductive filling material over the first planar side of the base material so that the filling material fills spaces in-between the plurality of contact points to a form a layer comprising the filling material and the plurality of contact points; and etching the second planar side of the base material to expose a pattern of the filling material from the second planar side of the base material and to thereby form a plurality of isolated conductive regions on the second planar side of the base material, each isolated conductive region being connected with at least a respective one of the plurality of contact points on the first planar side of the base material. A lead frame structure is also disclosed.

Abstract: A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.

Abstract: A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus is configured to transmit a first SA information in a first subframe. The apparatus is further configured to transmit a first data in the first subframe. The apparatus is configured to transmit a second SA information in a second subframe. The apparatus is also configured to transmit a second data in the second subframe. The first SA information includes information on the first data and the second data. The second SA information includes information on the second data.

Abstract: A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland.

Abstract: Methods, apparatus, and computer-readable mediums for wireless communication are provided. One apparatus is configured to receive at least one SA from at least one UE. The apparatus is further configured to determine an energy associated with each at least one SA. The apparatus is also configured to rank data transmission time-frequency resources based on the determined energy associated with said each received at least one SA. Each at least one SA are associated with a different subset of the data transmission time-frequency resources. The apparatus is further configured to select a set of data transmission time-frequency resources based on the ranked data transmission time-frequency resources and to send a data transmission on the selected set of data transmission time-frequency resources. Another apparatus is configured to partitioning time-frequency resources into different resource groups, to divide UEs into UE groups based on location, and map the UE groups to the resource groups.

Abstract: A method, an apparatus, and a computer program product for congestion control are provided. The apparatus measures respective signal qualities in at least two regions of a resource block, compares the respective signal qualities to each other, and determines a network congestion level based on the comparison. In an aspect, the apparatus may further decide whether to use resources respectively included in the at least two regions based on the network congestion level. Alternatively, the apparatus may further identify at least one MTC device or UE to refrain from using resources respectively included in the at least two regions when the network congestion level is above a threshold, and transmit a congestion control signal to the at least one identified MTC device or identified UE when the network congestion level is above the threshold.

Abstract: Described herein are methods, systems, and apparatus for performing device-to-device (D2D) discovery in an unlicensed band. In one example, a method for wireless communication is described that includes identifying a resource pool for D2D discovery in an unlicensed radio frequency spectrum band and selecting a set of resource blocks in the identified resource pool. The method may also include performing a channel occupancy check for the channel in the selected set of resource blocks. The method further includes transmitting a D2D discovery message based at least in part on the channel occupancy check, the D2D discovery message transmitted over the selected set of resource blocks in the unlicensed radio frequency spectrum band.