User device utilizing one or more multidimensional object databases
Various implementations directed to price time priority queue for a multi-dimension map tile device repository are provided. In one implementation, a method may include receiving origin location data and destination location data. The method may also include generating data networks based on the optimized origin location data and the destination location data. The method may further include determining data hubs along the transmission or transit route and network, where the virtual hubs include a first virtual hub based on the origin location data and a second virtual hub based on the destination location data. The method may additionally include receiving IoT device data for the geolocation exchange units. In addition, the method may include receiving market depth data for a geolocation exchange for the geolocation exchange units based on the multi-dimension map tile repository nodal sequences.
1 . A user device, comprising:
a first housing, wherein the first housing comprises one or more first audio output devices;
a second housing, wherein the second housing comprises one or more second audio output devices;
one or more sensors configured to acquire sensor data corresponding to an environment proximate to the user device, wherein the one or more sensors are disposed within the first housing, the second housing, or combinations thereof; and
a computing system, comprising:
one or more processors;
at least one memory comprising program instructions executable by the one or more processors to:
receive the sensor data from the one or more sensors;
determine a plurality of optimized weight values based on the sensor data for a plurality of coordinate objects stored in one or more multidimensional object databases;
determine one or more optimized data objects based on the plurality of optimized weight values, wherein the one or more optimized data objects are a subset of the plurality of coordinate objects;
retrieve the one or more optimized data objects from the one or more multidimensional object databases; and
generate an interactive environment based on the one or more optimized data objects.
2 . The user device of claim 1 , wherein the program instructions executable by the one or more processors to determine the plurality of optimized weight values further comprise instructions executable by the one or more processors to:
determine a plurality of expected values for the plurality of coordinate objects for a user associated with the user device, wherein a respective expected value corresponds to an expected utility of one or more respective coordinate objects for the user;
determine a plurality of standard deviation values for the plurality of coordinate objects for the user based on the plurality of expected values;
determine a plurality of ratios for the plurality of coordinate objects based on the plurality of expected values and the plurality of standard deviation values; and
determine the plurality of optimized weight values for the user based on the plurality of ratios.
3 . The user device of claim 2 , wherein the program instructions executable by the one or more processors to determine the plurality of expected values further comprise instructions executable by the one or more processors to:
determine a plurality of utility values for the plurality of coordinate objects for the user based on one or more utility functions, wherein the one or more utility functions correspond to one or more user preferences of the user, and wherein a respective utility value corresponds to a utility of the one or more respective coordinate objects for the user;
determine a plurality of probability weight values for the plurality of utility values based on historical data for the user; and
determine the plurality of expected values based on the plurality of probability weight values and the plurality of utility values.
4 . The user device of claim 3 , wherein the program instructions executable by the one or more processors to determine the plurality of probability weight values further comprise instructions executable by the one or more processors to:
determine the plurality of probability weight values based on the historical data using neural network feedback.
5 . The user device of claim 2 , wherein the program instructions executable by the one or more processors to determine the plurality of ratios further comprise instructions executable by the one or more processors to:
determine a plurality of opportunity sets based on the plurality of coordinate objects, wherein a respective opportunity set corresponds to a plurality of candidate weight values for a respective subset of the plurality of coordinate objects; and
determine the plurality of ratios based on the plurality of opportunity sets, the plurality of expected values, and the plurality of standard deviation values, wherein a respective ratio corresponds to a ratio of a respective expected value and a respective standard deviation value for the respective opportunity set.
6 . The user device of claim 5 , wherein the program instructions executable by the one or more processors to determine the plurality of optimized weight values based on the plurality of ratios further comprise instructions executable by the one or more processors to:
determine a ranking of the plurality of ratios;
determine an optimized ratio of the plurality of ratios based on the ranking;
determine an optimized opportunity set of the plurality of opportunity sets based on the optimized ratio; and
determine the plurality of optimized weight values based on the optimized opportunity set, wherein the plurality of optimized weight values corresponds to a respective subset of the plurality of candidate weight values for the optimized opportunity set.
7 . The user device of claim 1 , wherein the program instructions executable by the one or more processors to determine the one or more optimized data objects further comprise instructions executable by the one or more processors to:
determine one or more user preferences for a user associated with the user device based on neural network feedback; and
determine the one or more optimized data objects based on the plurality of optimized weight values and the one or more user preferences.
8 . The user device of claim 1 , wherein the program instructions executable by the one or more processors to determine the one or more optimized data objects further comprise instructions executable by the one or more processors to:
determine a plurality of allocations for the plurality of coordinate objects; and
determine the one or more optimized data objects based on the plurality of optimized weight values and the plurality of allocations.
9 . The user device of claim 1 , wherein the one or more optimized data objects comprise:
one or more audio objects, the one or more audio objects comprising one or more data objects for use in generating one or more sounds;
one or more data objects for use in generating one or more images associated with one or more real objects, one or more virtual objects, or combinations thereof; or
combinations thereof.
10 . The user device of claim 9 , wherein the user device further comprises one or more display output devices, and wherein the program instructions executable by the one or more processors to generate the interactive environment further comprise instructions executable by the one or more processors to:
generate the one or more sounds based on the one or more audio objects using the one or more first audio output devices, the one or more second audio output devices, or combinations thereof;
generate the one or more images based on the one or more data objects using the one or more display output devices; or
combinations thereof.
11 . The user device of claim 10 , wherein the sensor data comprises:
image data, wherein the one or more sounds correspond to the image data;
audio data, wherein the one or more images correspond to the audio data; or
combinations thereof.
12 . The user device of claim 10 , wherein the one or more display output devices comprise one or more light bulbs, wherein:
the one or more light bulbs are configured to display one or more light patterns using one or more colors; and
the one or more light patterns correspond to one or more symbols, one or more alphanumeric characters, or combinations thereof.
13 . The user device of claim 1 , further comprising:
a headband coupled to the first housing and to the second housing, wherein the headband is configured to:
position the first housing proximate to a first side of a head of a user associated with the user device; and
position the second housing proximate to a second side of the head;
a helmet shell device configured to couple to the headband, the first housing, the second housing, or combinations thereof, wherein the helmet shell device is configured to be positioned proximate to a top side of the head; and
one or more shield devices configured to couple to the helmet shell device, wherein the one or more shield devices are configured to display one or more images to the user, to be positioned proximate to a front side of the head, or combinations thereof.
14 . The user device of claim 1 , wherein the one or more multidimensional object databases are configured to store a plurality of data objects, the plurality of data objects comprising the plurality of coordinate objects, and the plurality of data objects further comprising data corresponding to one or more images associated with one or more real objects, one or more images associated with one or more virtual objects, one or more sounds associated with one or more real objects, one or more sounds associated with one or more virtual objects, one or more latitudes, one or more longitudes, one or more altitudes, time, weather, one or more temperatures, one or more image scaling, chemistry, one or more colors, one or more filters, one or more apertures, one or more speeds, one or more product types, historical data, or combinations thereof.
15 . The user device of claim 1 , wherein the one or more multidimensional object databases comprises one or more multidimension map tile databases, one or more proxy dimension databases, or combinations thereof.
16 . The user device of claim 1 , wherein the plurality of coordinate objects comprise a plurality of data objects for use in generating the interactive environment, wherein the plurality of data objects relate to coordinate data, matrices data, vector data, or combinations thereof.
17 . A user device, comprising:
a first housing, wherein the first housing comprises one or more first audio output devices;
a second housing, wherein the second housing comprises one or more second audio output devices;
one or more sensors configured to acquire sensor data corresponding to an environment proximate to the user device, wherein the one or more sensors comprise one or more cameras and the sensor data comprises image data, and wherein the one or more sensors are disposed within the first housing, the second housing, or combinations thereof; and
a computing system, comprising:
one or more processors;
at least one memory comprising program instructions executable by the one or more processors to:
receive the sensor data from the one or more sensors;
determine a plurality of optimized weight values based on the sensor data for a plurality of coordinate objects stored in one or more multidimensional object databases;
determine one or more optimized data objects based on the plurality of optimized weight values, wherein the one or more optimized data objects are a subset of the plurality of coordinate objects, and wherein the one or more optimized data objects comprise one or more audio objects relating to the image data;
retrieve the one or more optimized data objects from the one or more multidimensional object databases; and
generate an interactive environment based on the one or more optimized data objects, comprising generate one or more sounds based on the one or more audio objects using the one or more first audio output devices, the one or more second audio output devices, or combinations thereof.
18 . The user device of claim 17 , wherein the program instructions executable by the one or more processors to determine the plurality of optimized weight values further comprise instructions executable by the one or more processors to:
determine a plurality of expected values for the plurality of coordinate objects for a user associated with the user device, wherein a respective expected value corresponds to an expected utility of one or more respective coordinate objects for the user;
determine a plurality of standard deviation values for the plurality of coordinate objects for the user based on the plurality of expected values;
determine a plurality of ratios for the plurality of coordinate objects based on the plurality of expected values and the plurality of standard deviation values; and
determine the plurality of optimized weight values for the user based on the plurality of ratios.
19 . A user device, comprising:
a first housing, wherein the first housing comprises one or more first audio output devices;
a second housing, wherein the second housing comprises one or more second audio output devices;
one or more sensors configured to acquire sensor data corresponding to an environment proximate to the user device, wherein:
the sensor data comprises image data;
the one or more sensors are disposed within the first housing, the second housing, or combinations thereof;
the one or more sensors comprise one or more first cameras configured to acquire a first subset of the image data with respect to a first direction relative to the user device; and
the one or more sensors further comprise one or more second cameras configured to acquire a second subset of the image data with respect to a second direction relative to the user device, wherein the first direction and the second direction are different; and
a computing system, comprising:
one or more processors;
at least one memory comprising program instructions executable by the one or more processors to:
receive the sensor data from the one or more sensors;
determine a plurality of optimized weight values based on the sensor data for a plurality of coordinate objects stored in one or more multidimensional object databases;
determine one or more optimized data objects based on the plurality of optimized weight values, wherein the one or more optimized data objects are a subset of the plurality of coordinate objects, and wherein the one or more optimized data objects comprise one or more audio objects relating to the image data;
retrieve the one or more optimized data objects from the one or more multidimensional object databases; and
generate an interactive environment based on the one or more optimized data objects.
20 . The user device of claim 19 , wherein the program instructions executable by the one or more processors to determine the one or more optimized data objects further comprise instructions executable by the one or more processors to:
determine one or more user preferences for a user associated with the user device based on neural network feedback; and
determine the one or more optimized data objects based on the plurality of optimized weight values and the one or more user preferences.