Abstract: Disclosed is a mobility service platform including: a public transportation inquiry server for collecting traveling information for a public transportation; and a mobility service server for providing a mobility service for transporting a user via a rideshare vehicle traveling on a route based on a request from the user, and for providing a transfer service between the rideshare vehicle and the public transportation. The mobility service server may receive a starting location and a destination from a user terminal for providing the mobility service, receive the traveling information from the public transportation inquiry server, generate, based on the starting location, the destination, and the traveling information, at least one recommended route among a plurality of routes that are traveled by a combination of the rideshare vehicle and the public transportation, and reserve the mobility service based on the at least one recommended route.

Abstract: A method for determining a vehicle get-on-and-off place includes receiving a first destination and a first origin along with a vehicle call request from a first user terminal, setting first candidate get-on places within a predetermined distance from the first origin and first candidate get-off places within a predetermined distance from the first destination, generating first get-on-and-off pairs by combination of first candidate get-on places and first candidate get-off places, determining a passenger moving time based on the first origin, the first destination, and each entire path, with respect to each in entire paths based on each in first get-on-and-off pairs, determining a vehicle running time based on each entire path, with respect to each in entire paths, and determining a total travel time based on an expected demand, the passenger moving time, and the vehicle running time with respect to each in entire paths.

Abstract: A mobility service apparatus receives a call for vehicle assignment from a user device, determines a vehicle to be assigned to the user device, determines a surcharge rate to be applied to a fare based on an estimated waiting time of the call from the user device when a predetermined condition is satisfied, and transmits an assignment acceptance request, including information related to the surcharge rate, to the user device.

Abstract: A server for providing a passenger transportation service, may include a registered location database configured to store position information and image information related to each of previously registered get-on-and-off locations, a registered location management module configured to receive image data photographed from vehicles providing passenger transportation service during running and additional information including position information related to each of the image data, and update the image information based on the additional information by use of the image data, and a service providing module configured to, upon receiving a service provision request including position information and destination information related to a user from a user terminal, select a get-on location and a get-off location from among the get-on-and-off locations based on the position information and the destination information related to the user, and transmit get-on-and-off information including image data of the get-on location

Abstract: A method for operating a parking place based on demand expectation, may include expecting n quantity of calls corresponding to a current time in a service area, deriving Nc quantity of assignment combinations that assign Nb quantity of vehicles in standby in the service area with respect to Na quantity of parking places positioned in the service area, with respect to each in the Nc quantity of assignment combination, allocating the expected n quantity of calls to Nd quantity of vehicles in the service area including the Nb quantity of vehicles, and deriving Nd quantity of total travel times of the Nd quantity of vehicles, and assigning a corresponding parking place from among the Na quantity of parking places to each in the Nb quantity of vehicles based on the Nd quantity of total travel times with respect to each in the Nc quantity of assignment combination.

Abstract: A method for operating a parking place based on demand expectation, may include expecting n quantity of calls corresponding to a current time in a service area, deriving Nc quantity of assignment combinations that assign Nb quantity of vehicles in standby in the service area with respect to Na quantity of parking places positioned in the service area, with respect to each in the Nc quantity of assignment combination, allocating the expected n quantity of calls to Nd quantity of vehicles in the service area including the Nb quantity of vehicles, and deriving Nd quantity of total travel times of the Nd quantity of vehicles, and assigning a corresponding parking place from among the Na quantity of parking places to each in the Nb quantity of vehicles based on the Nd quantity of total travel times with respect to each in the Nc quantity of assignment combination.

Abstract: A method for determining a vehicle get-on-and-off place includes receiving a first destination and a first origin along with a vehicle call request from a first user terminal, setting first candidate get-on places within a predetermined distance from the first origin and first candidate get-off places within a predetermined distance from the first destination, generating first get-on-and-off pairs by combination of first candidate get-on places and first candidate get-off places, determining a passenger moving time based on the first origin, the first destination, and each entire path, with respect to each in entire paths based on each in first get-on-and-off pairs, determining a vehicle running time based on each entire path, with respect to each in entire paths, and determining a total travel time based on an expected demand, the passenger moving time, and the vehicle running time with respect to each in entire paths.

Abstract: A server for providing a passenger transportation service, may include a registered location database configured to store position information and image information related to each of previously registered get-on-and-off locations, a registered location management module configured to receive image data photographed from vehicles providing passenger transportation service during running and additional information including position information related to each of the image data, and update the image information based on the additional information by use of the image data, and a service providing module configured to, upon receiving a service provision request including position information and destination information related to a user from a user terminal, select a get-on location and a get-off location from among the get-on-and-off locations based on the position information and the destination information related to the user, and transmit get-on-and-off information including image data of the get-on location

Abstract: A method for extracting a get-on-and-off place where a vehicle may stop, which is performed by an operation server, includes, extracting vehicle road sections accessible by foot, filtering the extracted road sections by excluding a road section in which stopping of the vehicle is not permitted under traffic regulations, from the extracted road sections, selecting n quantity of virtual get-on-and-off places allowing getting on-and-off from the filtered roads, determining the walking time from each in all points of the service area to closest get-on-and-off place point, setting a longest time among walking times of all points of the service area, as a maximum walking time, and select a predetermined quantity of virtual get-on-and-off places from among the n quantity of virtual get-on-and-off places such that the selected maximum walking time is minimum, where the quantity k may be a natural number smaller than number n.

Abstract: A method for determining vehicle get-on-and-off places includes receiving first destination and first origin with a vehicle call request, setting first candidate get-on places within predetermined distance with respect to the first origin and first candidate get-off places, generating first get-on-and-off pairs by combination of the first candidate get-on places and the first candidate get-off places, determining first passenger moving time, post-get-off walking time from the first candidate get-off place to the first destination, and vehicle travel time to travel from the first candidate get-on place to the first candidate get-off place, determining a vehicle running time to travel through the first candidate get-on place and the first candidate get-off place, determining total travel time by summing the first passenger moving time and the vehicle running time, and selecting first get-on place and first get-off place as a first candidate get-on place and a first candidate get-off place.

Abstract: Disclosed herein is a communication device, which comprises a user trace manager, a power emulator, and a power impact estimator. The user trace manager manages a user's sensor usage trace and device usage trace, which shows the user's mobile device usage pattern. The power emulator executes an executable file of the mobile application to generate hardware usage statistics based on the sensor usage trace and the device usage trace. And the power impact estimator computes an increase in power consumption of the mobile application based on the hardware usage statistics.

Abstract: Disclosed herein is a communication device, which comprises a user trace manager, a power emulator, and a power impact estimator. The user trace manager manages a user's sensor usage trace and device usage trace, which shows the user's mobile device usage pattern. The power emulator executes an executable file of the mobile application to generate hardware usage statistics based on the sensor usage trace and the device usage trace. And the power impact estimator computes an increase in power consumption of the mobile application based on the hardware usage statistics.

Abstract: Disclosed herein is a mobile face-to-face interaction monitoring device and method using the same and system including the same, for supporting accurate and efficient turn monitoring. One embodiment of the mobile face-to-face interaction monitoring device may comprise a conversation group detector for scanning mobile devices in a surrounding area and setting a conversation group, a turn detector for determining (conversational) turn using volume topography created based on sound signals detected in the mobile devices in the conversation group, and a meta-linguistic information processor for extracting meta-linguistic context of participants or interactants in the conversation group based on the turn. Other embodiments are described and shown.

Abstract: A mobile apparatus includes a cooperator detector, a cooperation planner and a context processor. The cooperator detector selects a cooperating mobile apparatus among adjacent mobile apparatuses. The cooperation planner determines a cooperation plan for operating cooperative context monitoring with the cooperating mobile apparatus. The context processor operates the context monitoring based on the cooperation plan. Accordingly, the resource may be efficiently used and the range of the context monitoring may be enlarged.

Abstract: Disclosed herein is a mobile face-to-face interaction monitoring device and method using the same and system including the same, for supporting accurate and efficient turn monitoring. One embodiment of the mobile face-to-face interaction monitoring device may comprise a conversation group detector for scanning mobile devices in a surrounding area and setting a conversation group, a turn detector for determining (conversational) turn using volume topography created based on sound signals detected in the mobile devices in the conversation group, and a meta-linguistic information processor for extracting meta-linguistic context of participants or interactants in the conversation group based on the turn. Other embodiments are described and shown.

Abstract: A mobile apparatus includes a cooperator detector, a cooperation planner and a cooperation processor. The cooperator detector selects a cooperating mobile apparatus among adjacent mobile apparatuses. The cooperation planner determines a cooperation plan for operating cooperative context monitoring with the cooperating mobile apparatus. The cooperation processor operates the context monitoring based on the cooperation plan. Accordingly, the resource may be efficiently used and the range of the context monitoring may be enlarged.

Abstract: A mobile apparatus includes a processing planner and a plan processor. The processing planner generates a plurality of resource use plans in response to a context monitoring query (CMQ) of an application, and selects a final plan satisfying a request of the CMQ among the resource use plans. The plan processor executes the final plan. Accordingly, the mobile apparatus may support resource-efficient context monitoring.

Abstract: An apparatus for electroplating a substrate includes a substrate supporting member that supports the substrate such that a plating surface of the substrate faces upwardly, an anode electrode disposed at an upper part of the substrate supporting member, a power source for applying a voltage to the anode electrode and the substrate, and a plating solution supply member for supplying a plating solution onto the substrate.