Abstract: In some examples, a data representation is received that includes voxels relating to a volumetric property and a functional property of portions of a three-dimensional (3D) object to be formed by a 3D printing system, and trajectory voxels containing information to guide operation of a machine that manipulates portions of the 3D object during 3D printing. Information of the voxels relating to the volumetric property and the functional property and the information of the trajectory voxels are combined to produce instructions that control the 3D printing system to build the 3D object.

Abstract: In some examples, a distribution of values of a property of a given layer to be printed as part of three-dimensional (3D) printing is predicted, wherein the predicting is based on a distribution of values of the property in a previous layer that has been printed as part of the 3D printing. 3D printing of an object is controlled based on the predicted distribution of values of the property of the given layer.

Abstract: A machine learning device provided in a control unit observes, as state variables representing a current state of an environment, conveyance operation data indicating a state of a conveyance operation of a conveying machine and conveyance article state data indicating a state of the conveyance article, and acquires, as determination data, conveyance speed determination data indicating an appropriateness determination result relating to a conveyance speed of the conveyance article and conveyance article state determination data indicating an appropriateness determination result relating to variation in the state of the conveyance article. The conveyance operation data and the conveyance article state data are then learned in association with each other by using the state variables and the determination data.

Abstract: Techniques for controlling the operation of a process plant or several process plants within a process control system using a centralized or distributed controller farm allow for increased flexibility in the process control system. Any of the controllers in the controller farm may be utilized to execute modules corresponding to any of the field devices in one or several process plants. Control modules or other operations may be allocated amongst the controllers distributing the load so that one controller is not performing several operations while others are inactive. Additionally, the controller farm may be located in a temperature controlled room or area in an offsite location from the process plants. In some scenarios, load balancing techniques are performed to distribute the load for the modules equally or at least similarly amongst the controllers.

Abstract: Systems and methods are described for control and/or asset performance management of a system, in-situ, at an asset. A system application model can be deployed to at least a first network node fixed, in-situ, at the asset using a short-range, low-power communication network. The first network node can execute a master avatar using the deployed system application model and generate, at a second network node, a master-slave avatar using the master avatar executed at the first network node. The master avatar and/or master-slave avatar can be configured to perform control of the system, in-situ, at the first network node and the second network node.

Abstract: In an approach to creating a press-fit force analysis, one or more computer processors retrieve a force press-fit data from a press-fit machine based on a press cycle. One or more computer processors calculate a deformation force of the press cycle based on the press-fit data and storing the deformation force. One or more computer processors create a predictive control model based on the deformation force and determine if a corrective action is required based on at least one of a raw material quality data, machine setting data, a completed lot quality data or the predictive control model. One or more computer processors determine if a corrective action is required and alert a downstream process to take the corrective action. One or more computer processors schedule a material kitting.

Abstract: In some embodiments, a system model construction platform may receive, from a system node data store, system node data associated with an industrial asset. The system model construction platform may automatically construct a data-driven, dynamic system model for the industrial asset based on the received system node data. A synthetic attack platform may then inject at least one synthetic attack into the data-driven, dynamic system model to create, for each of a plurality of monitoring nodes, a series of synthetic attack monitoring node values over time that represent simulated attacked operation of the industrial asset. The synthetic attack platform may store, in a synthetic attack space data source, the series of synthetic attack monitoring node values over time that represent simulated attacked operation of the industrial asset. This information may then be used, for example, along with normal operational data to construct a threat detection model for the industrial asset.

Abstract: A method of ensuring a correct program sequence in a dual-Processor module that includes Processor A and Processor B. Processor A and Processor B are both coupled to a common memory. Processor A and Processor B each execute a first safety program and each generate an instruction stream therefrom. At one or more points in time while running the first safety program, Processor A reads its program counter value from a current instruction being executed and generates therefrom a current Processor A CRC value, and Processor B reading its program counter value from the same current instruction being executed generates therefrom a current Processor B CRC value. Processor A transfers its current CRC value to Processor B and/or Processor B transfers its current CRC value to Processor A, and these CRC values are compared. A safety action is triggered if the comparing determines non-matching current CRC values.

Abstract: In some embodiments, systems, apparatuses, methods, and processes are provided to control and allocate UASs. In some embodiments, a system to control unmanned aircraft systems (UAS), comprises: one or more wireless transceivers configured to communicate with the UAS; a control circuit coupled with the transceiver(s); and a memory coupled to the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to perform the steps of: receive sensor data captured by at least one sensor of a UAS; determine, from the sensor data, unique identification of an object at a predefined location; and confirm, from the sensor data, that the identified object is an expected object expected at the predefined location.

Abstract: A wearable device comprises: a hand gesture configuring and identifying module, for collecting feature data to be identified of a wearer by a sensor, identifying out a current hand gesture action of the wearer, searching a correspondence relation between a hand gesture action and an unmanned aerial vehicle control command that is configured and saved in advance, and sending an unmanned aerial vehicle control command corresponding to the hand gesture action to the ground control station module; a ground control station module, for receiving the unmanned aerial vehicle control command by using a data interface, encoding the control command, converting it into a control message and then sending it to the wireless transmission module; and a wireless transmission module for receiving the control message and wirelessly sending it to the unmanned aerial vehicle, to realize controlling the flight state of the unmanned aerial vehicle according to the control message.

Abstract: A request to determine a drone's capability may be received. A request type of the request and service context may be determined. A challenge may be generated based on the request type and the service context. The challenge may be presented to a drone and causing the drone to attempt the challenge. Information may be received from the drone, the information indicating the drone's response to the challenge attempted by the drone. The drone may be controlled to perform a given task or not perform the given task, based on the information.

Abstract: Dynamic analysis and updating real-time restrictions for remote controlled vehicles. Remote controlled vehicles are subject to geospatial restrictions that are updated in real time; dynamic analysis of geospatial restrictions allows for proper operation of a remote controlled vehicle.

Abstract: A device can receive telemetry information from a set of telemetry devices associated with a set of vehicles. The telemetry information being received via a set of unicast transmissions that correspond to the set of telemetry devices. The device can determine, based on the telemetry information, that the set of vehicles are associated with the service area. The device can generate service area information using the telemetry information. The device can provide, to the set of telemetry devices, the service area information to permit a control device of a vehicle, of the set of vehicles, to perform an action. The service area information can be provided via a multicast transmission.

Abstract: An autonomous robot vehicle in accordance with aspects of the present disclosure includes a land vehicle conveyance system, a communication system configured to communicate with a remote human operator system, one or more processors, and a memory storing instructions. The instructions, when executed by the processor(s), cause the autonomous robot vehicle to receive via the communication system control instructions from the remote human operator system for controlling the land vehicle conveyance system, control the land vehicle conveyance system in accordance with the control instructions to perform travel, and autonomously control the land vehicle conveyance system in coordination with the control instructions from the remote human operator system to semi-autonomously perform travel.

Abstract: This patent application discloses methods and systems for alerting computerized motor-vehicles about predicted accidents. In an example method, a motor vehicle alerts another motor vehicle about a predicted accident, even though that accident is between the alerting car and a third motor vehicle—for example, the alert is transmitted by non-visual electromagnetic (EM) radiation. When an adjacent motor vehicle receives such accident alert and determines it might itself be hit, it will react so as to minimize its chances of being hit or at least to minimize the damage if it is being hit. Optionally, one or more of the motor vehicles has an onboard device for measuring a blood-alcohol level of a human driver thereof. The measured blood-alcohol level may be used to compute a probability of an occurrence of an accident and/or may be included in one or more of the transmitted accident alerts.

Abstract: Systems and methods for preventing an autonomous vehicle from transitioning from an autonomous driving mode to a manual driving mode based on a risk model. The system includes a memory that stores instructions for executing processes for preventing the autonomous vehicle from transitioning the autonomous driving mode to the manual driving mode from based on a risk model. The system also includes a processor configured to execute the instructions. The instructions cause the processor to receive physiological data from a sensor, generate a risk assessment profile based on the physiological data, control an operating mode of the autonomous vehicle based on the risk assessment profile.

Abstract: An automated driving assistance apparatus assists automated driving control of a passenger car, and includes a driver monitoring unit and a manual driving recovery level setting unit. The driver monitoring unit monitors the state of the driver that is driving the passenger car. The manual driving recovery level setting unit sets, in a stepwise manner, a level indicating whether or not a switch can be made from automated driving to manual driving in a predetermined switching zone, based on the state of the driver detected by the driver monitoring unit.

Abstract: An autonomous robot vehicle in accordance with aspects of the present disclosure includes a land vehicle conveyance system, a sensor system configured to capture information including surrounding environment information and/or vehicle subsystem information, a communication system configured to communicate with a remote human operator management system, at least one processor, and a memory storing instructions. The instructions, when executed by the processor(s), cause the autonomous robot land vehicle to, autonomously, determine based on the captured information to request a remote human operator, and communicate a request to the remote human operator management system for a remote human operator to assume control of the land vehicle conveyance system, where the request includes at least a portion of the captured information.

Abstract: In an embodiment, a rotorcraft includes a rotor system including a plurality of blades; two or more engines operable to rotate the plurality of blades; a control assembly operable to receive commands from a pilot; a flight control computer (FCC) in signal communication with the two or more engines, the FCC being operable to generate engine data indicating whether the two or more engines are functional; and a flight management system (FMS) in signal communication with the control assembly and the FCC, the FMS being operable to receive a takeoff type and a plurality of takeoff parameters input into the FMS by the pilot; generate a guidance profile for a Category A (Cat-A) takeoff procedure based on the takeoff type and the plurality of takeoff parameters, the Cat-A takeoff procedure including one or more decision points for performing a takeoff procedure based on whether all engines are operable or one engine is inoperable; receive a command to engage in a takeoff procedure from the control assembly; in respons

Abstract: A safety architecture system includes, in one aspect, a first stage comprising a primary unit that generates primary data for performing normal system functionality; a secondary unit that generates secondary data for performing alternative system functionality; a primary safety gate coupled to the primary unit, with the primary safety gate providing the primary data as a primary output responsive to a determination of validity of the primary data; and a secondary safety gate coupled to the secondary unit, with the secondary safety gate providing the secondary data as a secondary output responsive to a determination of validity of the secondary data. The system also includes an output selector that is coupled to both the primary safety gate and the secondary safety gate of the first stage, with the output selector providing a system output responsive to the determinations of the validities of the primary data and the secondary data.

Abstract: A control system of a self-driving tractor can access sensor data to determine a set of trailer configuration parameters of a cargo trailer coupled to the self-driving tractor. Based on the set of trailer configuration parameters, the control system can configure a motion planning model for autonomously controlling the acceleration, braking, and steering systems of the tractor.

Abstract: A vehicle, system and method of operating the vehicle. In one exemplary embodiment, a method of operating an autonomous vehicle is disclosed. An environmental sensor obtains one or more parameters of external agents of the vehicle. A processor of the vehicle obtains a route having a destination at the autonomous vehicle, builds a Markov state model of the route that includes a plurality of states for the autonomous vehicle and one or more parameters of the external agents, generates a plurality of driving policies for navigating the route, selects a policy for navigating the route from the plurality of driving policies using a Markov Decision Process, and executes the selected policy at the autonomous vehicle to navigate the vehicle along the route towards the destination.

Abstract: A navigation-system for use on an automated vehicle includes a perception-sensor and a controller. The perception-sensor detects objects present proximate to a host-vehicle and detects a gradient of an area proximate to the host-vehicle. The controller is in communication with the perception-sensor. The controller is configured to control the host-vehicle. The controller determines a free-space defined as off of a roadway traveled by the host-vehicle, and drives the host-vehicle through the free-space when the gradient of the free-space is less than a slope-threshold and the objects can be traversed.

Abstract: This disclosure relates generally to autonomous vehicle, and more particularly to method and system for determining a drivable navigation path for an autonomous vehicle. In one embodiment, a method may be provided for determining a drivable navigation path for the autonomous vehicle. The method may include receiving a base navigation path on a navigation map, a position and an orientation of the autonomous vehicle with respect to the base navigation path, and an environmental field of view (FOV). The method may further include deriving a navigational FOV based on the environmental FOV, the base navigation path, and the orientation of the vehicle. The method may further include determining a set of navigational data points from the navigational FOV, and generating at least a portion of the drivable navigation path for the autonomous vehicle based on the set of navigational data points.

Abstract: Embodiments are disclosed for a machine and process that include a computer code specially programmed for creating a runway extension speed for an aircraft taking off. The process may include sensing current location, current acceleration, and current speed, for the aircraft during takeoff roll; receiving, in a ROTTOWIRE, the current speed and the current acceleration for the aircraft; creating in the ROTTOWIRE an actual speed profile; creating, using a specially coded program in the ROTTOWIRE and the current acceleration, the runway extension speed via determining, for a current location of the aircraft, a distance from a departure end of the runway and a terminating distance required to terminate the takeoff to a stop of the aircraft on the runway, a distance until the aircraft reaches a designated height; and when the terminating distance equals the distance from the departure end of the runway; and presenting the runway extension speed.

Abstract: Systems and methods for communicating autonomous vehicle operations are provided. In one example embodiment, a computer implemented method includes obtaining data associated with the autonomous vehicle. The method includes identifying an object within the surrounding environment of the autonomous vehicle or a planned vehicle motion action of the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The method includes determining an audible vehicle indication that is associated with the identified object or the planned vehicle motion action. The audible vehicle indication is indicative of a type of the object or a type of the planned vehicle motion. The method includes outputting, via one or more output devices onboard the autonomous vehicle, the audible vehicle indication.

Abstract: An autonomous vehicle is operable to follow a primary trajectory that forms a portion of a route. While controlling the autonomous vehicle, the autonomous vehicle calculates a failsafe trajectory to follow as a response to a predetermined type of event.

Abstract: A method for motion planning for autonomous moving objects (AMO) includes continuously computing or updating a time-dependent trajectory of an AMO to a destination by a computing device avoiding obstacles en route to the destination. The time-dependent trajectory is computed using one or more motion planning computation procedures. The method further includes performing a switching to another motion planning computation procedure when an obstacle is detected or not detected anymore. An obstacle is determined to be detected when a point on the computed trajectory lies within or touches a guard area (GA) around the obstacle. The border of the GA has a certain distance from the detected obstacle.

Abstract: This invention relates to a working device on an inclined surface, consisting of a working robot and a trailer that can run on an inclined surface, as well as a cable connecting the working robot and the trailer. There is a positioning system detects the relative position of the working robot and the trailer. The trailer can recognize the position of the working robot and autonomously move following the working robot. A power supply is installed on the trailer to supply continuous power to the working robot via the cable. The invention also covers a cleaning method for the solar panel array with the above-mentioned working device in a solar power station. The invention is characterized with low investment, easy installation and removal, operator-friendly management and maintenance.

Abstract: One embodiment of an electronics convenience vehicle (ECV) may include a frame, a plurality of wheels configured to support and move the frame, a seat supported by said frame, a steering mechanism disposed toward a front portion of the ECV, a motor configured to cause at least one wheel to be propelled forward, propelled backward, or to remain in a fixed position, a throttle, when activated in a first position, causes said motor to propel said at least one wheel in a forward direction, when activated in a second position, causes said motor to propel said at least one wheel in a reverse direction, at least one sensor directed to detect objects in front of a direction of travel of the ECV, and a control and communications unit (CCU) disposed in front of said seat, and configured to receive said sense signals and to control operations of said motor.

Abstract: The disclosure discloses a method of calibrating a moving region of a guide robot, including: detecting and receiving a movement instruction, and sending the received movement instruction to a controller; determining region calibration parameters corresponding to the received movement instruction according to a predetermined mapping relation between the movement instruction and the region calibration parameters, wherein the region calibration parameters include a pending moving region of the guide robot, a light display parameter in the pending moving region, and a driving parameter corresponding to the pending moving region and the light display parameter; driving the light emitting module to carry out light display calibration in the pending moving region according to the determined region calibration parameters. The disclosure further provides the guide robot and a computer storage medium. The technical solution of the disclosure enables the guide robot to display a marked region to be passed.

Abstract: A method and device are described for controlling a vehicle using a location based dynamic dictionary. The method includes receiving, by a navigation device, an image from an image sensing device associated with the autonomous vehicle, wherein the image sensing device captures the image at a location of the autonomous vehicle. The method includes extracting, by the navigation device, navigation content from the image. The method further includes identifying, by the navigation device, the navigation content from the image by comparing the navigation content from the image with a dynamic dictionary. The dynamic dictionary is created based on the location of the autonomous vehicle. The method further includes controlling, by the navigation device, the autonomous vehicle based on the navigation content.

Abstract: A method and system for guiding an autonomous vehicle to extract drivable road region is provided. The method involves capturing the road region ahead of the autonomous vehicle using a plurality of sensors. The road region is captured as a three-dimensional point cloud. Thereafter, a plurality of images of the road ahead the autonomous vehicle is captured using a camera. The captured road region and the plurality of images are mapped and compared. The mapping involves comparing the point cloud with plurality of pixels in the images. Based on the mapping, a training data is dynamically updated to incorporate current road conditions and a drivable road region is predicted. Finally, based on the drivable region, the autonomous vehicle is controlled and guided through the road.

Abstract: A driving assistance system includes a camera and at least one processor. The camera is disposed on a mounting apparatus that is rotatably coupled to a vehicle and that rotates about a rotation axis that is spaced apart from the camera. The camera is configured to rotate together with the mounting apparatus from a first point to a second point, and to capture an external image of the vehicle at the first point and the second point. The processor is configured to control the camera to capture a first image at the first point and a second image at the second point, detect an object around the vehicle based on the first image and the second image, and determine a distance between the object and the vehicle based on the first image and the second image.

Abstract: A method and apparatus for determining a route of a vehicle are provided. The method includes activating fail operative steering in response to detecting an electronic power steering (EPS) failure, determining a length of a lane map fusion ring, calculating a desired route based on a line of the lane map fusion ring if the determined length is greater than a first predetermined distance, and calculating desired route based on offset information and heading information of the lane map fusion ring and curvature information and curvature derivative information calculated from map data if the determined length is less than the first predetermined distance.

Abstract: An autonomous robot vehicle in accordance with aspects of the present disclosure includes a conveyance system, a navigation system, a communication system configured to communicate with a food delivery management system, one or more storage modules including a storage compartment or a storage sub-compartment configured to store food items, one or more preparation modules including a preparation compartment or a preparation sub-compartment configured to prepare the food items, processor(s), and a memory storing instructions. The instructions, when executed by the processor(s), cause the autonomous robot vehicle to, autonomously, receive via the communication system a food order for a destination, determine a travel route that includes the destination, control the conveyance system to travel the travel route to reach the destination, and prepare the food item while traveling on the travel route.

Abstract: In some embodiments, methods and systems are provided that provide for controlling aerial and/or ground transport vehicles that are located beyond a communication range of a central control station via one or more aerial and/or ground intermediate control vehicles.

Abstract: An embodiment rotorcraft includes a rotor system including a plurality of blades; a control assembly operable to receive commands from a pilot; a flight control system (FCS), the flight control system operable to control flight of the rotorcraft by changing an operating condition of the rotor system; and a flight management system (FMS) in signal communication with the control assembly and the FCS. The FMS is operable to receive a target location and a plurality of approach parameters from the control assembly; generate a plurality waypoints between a current location of the rotorcraft and a missed approach point (MAP) based on the target location and the plurality of approach parameters; receive a command to engage in an approach maneuver from the control assembly; and in response to the command to engage in the approach maneuver, instruct the FCS to fly to the MAP.

Abstract: Embodiments include a modular fuel pump apparatus for an aircraft refueling chassis and related devices, systems and methods. In one exemplary embodiment, a pump module includes a hydraulic motor driven by a hydraulic pump connected to a chassis motor. A chassis engine is operated at a substantially constant RPM, which causes the hydraulic pump to output hydraulic fluid to the pump module at a substantially constant hydraulic pressure. The speed of the hydraulic motor can be varied by a proportional flow control valve disposed between the hydraulic pump and the hydraulic motor, thereby varying the speed of the fuel pump and the flow rate of the fuel. A controller is configured to operate the pressure control valve such that the flow of the fuel is maintained at a predetermined flow rate.

Abstract: A system for delivering pulses of a desired mass of gas to a tool, comprising: a mass flow controller including flow sensor, a control valve and a dedicated controller configured and arranged to receive a recipe of a sequence of steps for opening and closing the control valve so as to deliver as sequence of gas pulses as a function of the recipe. The mass flow controller is configured and arranged so as to operate in either one of at least two modes: as a traditional mass flow controller (MFC) mode or in a pulse gas delivery (PGD) mode.

Abstract: A flow and pressure stabilization device comprises a housing; a first fluid chamber; a gas chamber; a deformable bladder that separates the first fluid chamber from the gas chamber and at least partially defines a volume of the first fluid chamber; a second fluid chamber in fluid communication with the first fluid chamber via a fluid passage; and a variable flow valve in fluid communication with the second fluid chamber, the variable flow valve comprising: a fluid port in fluid communication with a fluid outlet; a deformable diaphragm positioned adjacent the fluid port, the diaphragm at least partially defining a volume of the second fluid chamber; and an outflow control button coupled to the diaphragm and extending at least partially into the fluid port, the outflow control button comprising an at least partially tapered surface.

Abstract: A system includes a DC to DC converter coupled with a load, a power source bus coupled with an input of the DC to DC converter, a capacitor coupled in parallel across an output of the DC to DC converter and a controller. The controller may dynamically adjust a bus voltage set point of a bus voltage on the output of the DC to DC converter up or down to prepare for supply of the bus voltage and energy stored in the capacitor to an anticipated load event. The load event may have a load step change that occurs in less than five milliseconds and is greater than about eighty or eighty-five percent of a rated output of the DC to DC converter.

Abstract: Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

Abstract: A joystick has a related control method to provide displayed object control function. The joystick includes a body, an image sensor and a processor. The body has a deformable bottom surface whereon a pattern is disposed. The image sensor is disposed under the body and adapted to capture a plurality of frames about the pattern. The processor is electrically connected with the image sensor and adapted to generate a displayed object control signal according to pattern variation within the plurality of frames.

Abstract: A clock distribution network and method of distributing a clock signal is disclosed. In one embodiment, a clock distribution network is coupled to at least a first circuit. The clock distribution network includes a clock source configured to generate a differential clock signal and provide it to a current mode logic (CML) driver. The CML driver is configured to transmit the clock signal over a differential signal path. A CML receiver is coupled to receive the clock signal via the differential signal path.

Abstract: Some implementations disclosed herein provide techniques and arrangements for transferring data between asynchronous clock domains. A synchronization signal may be generated by a first of the clock domains, and data may be transferred between the domains in response to the synchronization signal. Clock cycles of the second of the clock domains may be monitored in comparison to the synchronization signal to report the number of second clock domain cycles occurring per occurrence of the synchronization signal. This information may be recorded by testing and validation equipment to facilitate error analyses.

Abstract: In example implementations, a modular display system is provided. The modular display system includes a center modular display and a curved modular display. The center modular display is bezel free on a left side and a right side. The curved modular display includes a single bezel free side and a display area that is less than, or equal to, a display area of the center modular display. The single bezel free side of the curved modular display is in communication with the left side, or the right side, of the center modular display such that the center modular display and the curved modular display appear as a single display to a computing device.

Abstract: Example implementations relate to establishing communication links with computing devices. As an example, a device stand includes a first member including an attachment feature to couple the device stand to a computing device. The device stand also includes a second member including a rotation track to enable the first member to rotate with respect to the second member to decouple the device stand from the device. The device stand further includes a third member including an opening to receive the attachment feature. The second member is situated between the first member and the third member. The device stand further includes a first sidewall having a first slope and a second sidewall having a second slope that is different from the first slope. The first sidewall and the second sidewall are defined by the first member and the second member.

Abstract: A connector?substrate assembly can be disposed at a position where a tip portion of the connector is inserted into a connector hole simply and at a low cost without using an additional small substrate, an additional relay cable, and the like; an electronic device; and a method for assembling the same are provided. A connector is supported so as to be slidable with respect to a substrate, from a preparation position to a mounting position, and the tip of the connector projects outwardly from a right side of an end portion of the substrate at least at the mounting position. A chassis has a connector hole in the side surface. The connector does not interfere with a frame portion of the connector hole at the preparation position and the substrate can be properly attached to the chassis. The tip of the connector enters the connector hole at the mounting position.

Abstract: A electronic scheduling assembly includes a housing that may be suspended on a vertical support surface thereby facilitating the housing to be accessible to a user. A processor is positioned within the housing and an electronic memory is positioned within the housing. A touch screen is coupled to the front wall of the housing and the touch screen is selectively manipulated. The touch screen displays indicia relating to data stored in the electronic memory. A stylus is configured to be manipulated. The stylus engages the touch screen to control operational parameters of the processor and to manipulate the indicia on the touch screen.