90 results about "Smart spaces" patented technology

A method and system for real-time analytics of sensor-based data is disclosed. Also disclosed is a Cloud-based Paltform-as-a-Service (PaaS) offering for sensor driven applications with services and features for their complete life-cycle management including prompt development, testing, deployment and so forth. The method of the present disclosure enables real-time tracking of various physical parameters and attributes related to smart-spaces using sensor devices implemented in the premises of the smart-space environment and using crowd-sourced user input data. Further, the parameters obtained are sent to the cloud-computing server, wherein the analytics are performed in real-time based on the obtained parameters.

The invention discloses an intelligent space and nurse robot multi-sensor system, establishes a manual sign expression model of the typical QRCode and RFID (radio frequency identification devices) based technique in intelligent space, builds a multi-mode information expression system based on improved JDL (joint directors of laboratories) model and a multi-mode information acquiring model based on a distribution type data fusion tree, and designs a corresponding fusion algorithm by aiming at the characteristics of each layer. The model shields the isomerism of the device and the complexity of environment. By considering the dynamics, isomerism and hierarchy of intelligent space information and organically combining local fusion with overall fusion, the fusion efficiency is increased, the fusion precision is ensured, the recognition of intelligent space to human and environment is improved, the system is conveniently integrated, and the expandability and the reusability of the system are improved.

A system and method for knowledge based development of interior models for configurable spaces, including storing a digital definition of the interior section of the passenger vehicle and parameters related to the objects, storing a digital definition of a plurality of three dimensional stay-out spaces associated with one or more of the objects, defining one or more collision rules between a first three dimensional stay-out space and a second three dimensional stay-out space, the rules define whether the first three dimensional stay-out space and the second three dimensional stay-out space may overlap, and designing the interior section to accommodate objects based on the defined collision rules and object parameters.

Management of access control in wireless networks known as smart spaces includes a framework that presents non-expert users with a consistent and intuitive interaction mechanism to manage access to devices they own in the smart space without exposing to them the complexity of the underlying security infrastructure. Access control of devices in a network can include providing an interface between a user-level tool on a first device connected to a network and security components associated with the network, communicating a passlet between the user-level tool and the interface, verifying access permission at a second device on the network where access permissions are based on the passlet, and providing a response to the first device based on the verification of the access permission in the passlet. The passlet provides access permissions based on a particular user rather than a particular device.

A method and system for real-time analytics of sensor-based data is disclosed. Also disclosed is a Cloud-based Paltform-as-a-Service (PaaS) offering for sensor driven applications with services and features for their complete life-cycle management including prompt development, testing, deployment and so forth. The method of the present disclosure enables real-time tracking of various physical parameters and attributes related to smart-spaces using sensor devices implemented in the premises of the smart-space environment and using crowd-sourced user input data. Further, the parameters obtained are sent to the cloud-computing server, wherein the analytics are performed in real-time based on the obtained parameters.

The disclosed embodiments relate to the design of a system that identifies a person. During operation, the system receives channel state information (CSI) for a set of orthogonal frequency division modulation (OFDM) subcarriers while the person moves in a region that includes two or more nodes that use the set of OFDM subcarriers to communicate with one another. Next, the system analyzes the CSI to obtain an analysis result. The system then determines the identity of the person based on the analysis result.

An approach is provided for selective sharing of semantic information sets in a smart space interoperable across platforms, devices, and equipment. A personal smart space application creates a personal information space for a user, wherein the personal information space includes a plurality of semantic information sets. Thereafter, the personal smart space application receives a request for selective sharing of the semantic information sets, and merges, in response to the request, a projection of the selected semantic information sets into a shared information space.

This disclosure presents the Intelligent Space Tube Optimization (ISTO) method for developing computationally optimal designs or strategies. ISTO is especially valuable if predicting system response to the design or strategy is computationally intensive, and many predictions are needed in the optimization process. ISTO creates adaptively evolving multi-dimensional decision space tube(s), develops or trains surrogate simulators for the space about the tube(s), performs optimization about the tube(s) using primarily the surrogate simulators and selected optimizer(s), and then can revert to an original simulator for efficient final optimizations. A space tube consists of overlapping multi-dimensional subspaces, and lengthens in the direction of the optimal solution. The space tube can shrink or expand to aid convergence and escape from local optima. ISTO can employ any appropriate type of surrogate simulator and can employ any type of optimizer. ISTO includes a multiple cycling approach. One ISTO cycle involves: (i) defining the multi-dimensional space tube; (ii) generating strategies about the space tube's subspace; (iii) simulating system response to the strategies using an original simulator; (iv) developing or training surrogate simulators, such as regression equations or ANNs; (v) performing optimization about the subspace, primarily using the substitute simulators; (vi) analyzing the optimal strategy; and (vii) evaluating whether space tube radius (radii) modification is required. Based on optimization performance or to escape from a locally optimal solution, the ISTO automatically adjusts the space tube dimensions and location. ISTO cycling terminates per stopping criterion. After cycling terminates, ISTO can proceed to optimize while employing an original simulator, rather than the surrogate. This feature is useful because when optimization problem constraints become extremely tight, predictive accuracy becomes increasingly important.

A transmitter in an OFDM-MIMO wireless communication system uses multiple antennas to transmit each data stream. Before the coded binary bits are mapped into channel symbols, they are divided into two groups. One group is mapped to a channel symbol as in a conventional system. Another group of binary bits is used to generate a spatial mapping index. The spatial mapping index determines which antenna is to be used to transmit the channel symbol for each subcarrier. Effectively, information bits are jointly represented by a combination of a channel symbol and an antenna that transmits the channel symbol. Therefore, to achieve the same data rate, a smaller signal constellation is required. In addition, spatial diversity can be achieved which is similar to traditional switching diversity. The number of non-zero subcarriers is reduced by half on average, which results in a lower peak to average ratio than conventional OFDM systems.

The invention relates to an understanding system of human behaviors in intelligent space. The understanding system comprises an information perception module, an information processing module, an information scheduling module, an inference module, an information storage module and an executing module. The information perception module, the information processing module, the information scheduling module, the inference module and the information storage module are connected in sequence. The understanding system firstly collects and processes contextual information provided by various sensors in the intelligent space, redundancy and uncertainty of information provided by the intelligent space lead to uncertainty of knowledge representation, and the understanding system conducts research on uncertain knowledge representation and rule conclusion reliability. On the basis, processed multi-source information is inferred through a kernel CLIPS inference machine in a CLIPS expert system, therefore, understanding of the human behaviors is achieved, and a robot is directed to provide corresponding services for a service object.

The invention discloses a matching method for spatial information services based on context awareness and user preferences. The method includes: considering context-aware user preferences on the basis of functional and non-functional matching of user service requests and candidate spatial information services, calculating matching degree of the user service requests and each candidate spatial information service in smart space, and recommending the candidate spatial information service to a user according to the matching degree. The user may have fixed or repeated preferences, but the preferences may not be relevant at any time. The matching method for spatial information services based on the context awareness and the user preferences is capable of simplifying the user preferences and eliminating irrelevant user preferences. In the mean time, by calculating the matching degree from the functional and non-functional matching, accuracy in spatial information service matching is enhanced, and the spatial information service which mostly meets actual needs of the user is provided.

An apparatus for determining a master module in a dynamic distributed device environment may include a processor. The processor may be configured to calculate a connectivity stability factor for a module. The module may be included on a device configured to be connected to a distributed device network. The distributed device network may be defined as a network where devices leave or enter the network at any time, such as a smart space. The processor of the apparatus may also be configured to weigh the connectivity stability factor of the module against neighboring connectivity stability factors associated with neighboring modules, and assign a role of master module to the module based on a determination that the connectivity stability factor of the module describes a more stable module than the connectivity stability factors of the neighboring modules. Associated methods and computer program products may also be provided.

The invention discloses an elderly nursing system and method in a smart space environment. The method comprises the following steps: storing historical sensing information sensed by a sensing module in a knowledge base in advance; storing a solution corresponding to the sensing information in the knowledge base; if the sensing information received by a controller through the sensing module is stored in the knowledge base in advance, directly calling, by the controller, the solution corresponding to the sensing information from the knowledge base; if the sensing information received by the controller through the sensing module is new sensing information, the new sensing information has no historical record in the database, uploading, by the controller, the new sensing information to a reasoning module; and receiving, by the reasoning module, the new sensing information of the sensing module, and meanwhile calling the historical sensing information similar to the new sensing informationand a historical solution corresponding to the historical sensing information from the knowledge base to generate a new solution. By adoption of the elderly nursing system and method disclosed by theinvention, personalized services and needs can be provided according to the living habits and hobbies of the elderly.

An open framework system for both heterogeneous computing and service integration is provided. The open framework system for both heterogeneous computing and service integration according to the present invention comprises a plurality of Wrappers both registering and administrating services by service having similar function, a framework transferring an execution result of a service to the applications after discovering the service through the Wrappers and invocating the service in case of receiving a message requesting the service from the applications, a message broker transferring messages between the applications and the framework, and an external module converting the protocols for meeting specification of the Wrapper for an existing service in an open framework system for both heterogeneous computing and service integration efficiently establishing USS (Ubiquitous Smart Space) by systematically integrating services of various protocols using in a plurality of applications under ubiquitous environment. Since the application developed at the open framework system for both heterogeneous computing and service integration according to the present invention is self-existent for even changes of both service and environment, there is no need for the application to be amended in case that the services are further deleted or amended. Therefore, the life period of the application may be prolonged.

A method, system and computer program product for allocating parking spaces for vehicles in a parking area. In one embodiment, the invention provides a system comprising a sensor system for generating output representing measurements of vehicles in the parking area, a marking system for identifying parking spaces in the parking area, and a controller for calculating parking spaces for vehicles. The controller obtains defined measurements for the vehicles in the parking area, and calculates for each of the vehicles, a respective one parking space in the parking area. In an embodiment, the controller allocates a size and a position for each parking space in the parking area, and operates the marking system to mark each parking space to facilitate driving the vehicles into the parking spaces. Embodiments of the invention dynamically allocate parking spaces based on criteria: (1) Determine the minimum space that should be enough for the size of the car that is being currently identified for parking; and (2) Maximize utilization of space by preventing improper fragmentation, where because of allocating fixed size spaces to all cars, big / small / medium, fragments of space would be wasted.

The invention discloses the organization and the architecture of an intelligent space. The organization and the architecture of the intelligent space comprise a heterogeneous network middleware platform, an intelligent device management platform, a situational awareness and management platform, a pervasive computing security and privacy protection platform based on identity authentication and trust, an active service platform based on user behavior cognition and a human-computer interaction platform. The situational awareness and management platform is in intercommunication connection with the heterogeneous network middleware platform, the intelligent device management platform, the pervasive computing security and privacy protection platform based on the identity authentication and the trust, the active service platform based on the user behavior cognition and the human-computer interaction platform. Through the arrangement, the demonstrable interconnection and interworking standard organization and the demonstrable interconnection and interworking standard architecture are provided for different platforms of internet of things or intelligent spaces, a complete solution with self-definition, self-adaptive and self-healing functions is provided for a novel internet of things, and software resources and hardware resources can be allocated in an optimized mode automatically.

The invention discloses an intelligent spatial data object modeling method applied to the management of a spatial data resource of a road system, which comprises the following steps of: abstracting the spatial data resource of the road system, and creating objects of road service models; defining the relationship of the road service models; defining data templates of the road service models in the road system; carrying out indexing and code maintenance on the road service models; carrying out symbolic definition on the road service models; and defining service interfaces of the road service models, and using the intelligent spatial data models of the road service models. The method of the invention can model the urban basic information resources better, which especially can widely be used in the industries such as municipal administration, planning and mapping, land resources, and environmental protection, and the like.

An intelligent spatial reasoning method receives a plurality of object sets. A spatial mapping feature learning method uses the plurality of object sets to create at least one salient spatial mapping feature output. It performs spatial reasoning rule learning using the at least one spatial mapping feature to create at least one spatial reasoning rule output. The spatial mapping feature learning method performs a spatial mapping feature set generation step followed by a feature learning step. The spatial mapping feature set is generated by repeated application of spatial correlation between two object sets. The feature learning method consists of a feature selection step and a feature transformation step and the spatial reasoning rule learning method uses the supervised learning method.The spatial reasoning approach of this invention automatically characterizes spatial relations of multiple sets of objects by comprehensive collections of spatial mapping features. Some of the features have clearly understandable physical, structural, or geometrical meanings. Others are statistical characterizations, which may not have clear physical, structural or geometrical meanings when considered individually. A combination of these features, however, could characterize subtle physical, structural or geometrical conditions under practical situations. One key advantage of this invention is the ability to characterize subtle differences numerically using a comprehensive feature set.

An approach is provided for selective sharing of semantic information sets in a smart space interoperable across platforms, devices, and equipment. A personal smart space application creates a personal information space for a user (501), wherein the personal information space includes a plurality of semantic information sets. Thereafter, the personal smart space application receives a request for selective sharing of the semantic information sets (503), and merges, in response to the request, a projection of the selected semantic information sets into a shared information space (505).

The invention discloses an inverse kinematics solving method and device for a service robot in a smart space. The method includes the following steps that: the forward kinematics model of the robot isestablished by using a D-H parameter method; real number coding is performed on the joint variables of the robot; an adaptive function is constructed with difference between a current pose and a target pose adopted as an optimization objective; and a genetic algorithm is used to perform optimization solution on the joint variables, so that the optimal solution of the inverse kinematics problem isobtained. The method of the invention does not need to be limited to robot configurations, and a plurality of populations are introduced, so that parallel optimization search can be realized, and therefore, the method can cope with the increase of the degree of freedom of the robot; the real number coding is adopted for the individuals, and mapping errors occurring during continuous function discretization when binary coding is adopted can be avoided; and on the basis of the real number coding, crossover operation adopts a linear crossover mode, mutation operation adopts a random mutation mode, and adaptive crossover and mutation probabilities are introduced, and therefore, a better solution can be effectively protected in the later stage of evolution, and convergence speed and precisioncan be guaranteed.

Provided is an intelligent space art decorative light system based on an internet of things. The system comprises a group of wireless decorative light nodes and a state control subsystem. Each wireless decorative light node comprises a power supply subsystem, a sensor subsystem, a communication subsystem, a decorative light control subsystem and a group of decorative lights. The sensor subsystem is connected with the communication subsystem so as to sense an external signal to startup operation of the whole system. The communication subsystem is connected with the decorative light control subsystem so as to receive a system operation startup signal sent by the sensor subsystem. The decorative light control subsystem converts a control signal of the communication subsystem into the control signal which can drive the art decorative lights. The state control subsystem is used for controlling the wireless decorative light nodes in a remote way, and is responsible for controlling transition of states of the wireless decorative light nodes so as to control operation of the decorative lights. Each light node of the system is interconnected and intercommunicated with each other via a radio wave mode, and computation is performed separately by each node so that a large computing amount is dissolved, and a unique light effect is realized.

Management of access control in wireless networks known as smart spaces includes a framework that presents non-expert users with a consistent and intuitive interaction mechanism to manage access to devices they own in the smart space without exposing to them the complexity of the underlying security infrastructure. Access control of devices in a network can include providing an interface between a user-level tool on a first device connected to a network and security components associated with the network, communicating a passlet between the user-level tool and the interface, verifying access permission at a second device on the network where access permissions are based on the passlet, and providing a response to the first device based on the verification of the access permission in the passlet. The passlet provides access permissions based on a particular user rather than a particular device.

An intelligent space modeling method based on object oriented, includes the step of: dividing an intelligent space into a transmission platform and a service element; enclosing the divided transmission platform with a method of object oriented; enclosing the divided service element with the method of object oriented; enclosing the intelligent space with the method of object oriented using the enclosed transmission platform and service element in former steps; carrying out an information hiding via diffferent access right for the enclosed intelligent space; carrying out a nterconnection of intelligent space using an intelligent space list in the enclosed intelligent space; carrying out an extension of intelligent space via an inheritance of family for the enclosed intelligent space family. The invention is suitable for modeling of intelligent space not to be formed, but is able to be used to reconstruct the object oriented of the performed intelligent space.

A smart space may be any monitored environment, such as a factory, home, office, public or private area inside a structure, or outside (e.g. park, walkway, street, etc.), or on or in a device, transport, or other machine. An Al, e.g. a neural network, may be used to monitor the smart space and predict activity in the smart space. If an incident occurs, such as a machine jam, person falling, etc., and alert may issue and the neural net monitor for agent responsiveness to the incident. If the Al predicts the agent is taking an appropriate response it may clear the alert, otherwise it may further instruct the agent and / or escalate the alert. The Al may analyze visual or other data presenting the smart space to predict activity of agents or machines lacking sensors to directly provide information about activity being performed.

The invention discloses an emotion-spatiotemporal information-based robot service autonomous cognition method and a service robot. The method comprises the steps of building an emotion-spatiotemporalontology model, and based on emotion-spatiotemporal information obtained in real time in an intelligent space, performing real-time update on the ontology model; matching a service for the emotion-spatiotemporal information of a user in the intelligent space, and establishing an emotion-based service task inference rule library; by taking the service task inference rule library as a training sample, training a BP neural network to establish an inference engine; and according to the ontology model updated in real time, obtaining current emotion-spatiotemporal information, and inferring the service to be executed by the robot through adopting the inference engine. According to the method, the intelligence and personification level of the family service robot can be effectively improved, so that the service experience of the user is enhanced.

An apparatus and method for storing and maintaining in a smart space device connectivity information of devices of the smart space including a plurality of disparate radio access technologies. The connectivity information is propagated to at least one other device of the smart space and is used for selecting an optimal distribution route for information to be shared in the smart space. Technologies such as NoTA, BillBoard and Whiteboard can be used.

The invention discloses an integrated intelligent spatial comprehensive information platform, which comprises an integrated data processing system, an integrated management system and a background support system, wherein the integrated data processing system and the integrated management system are connected with the background support system respectively. According to the system, data acquisition, management, security, service and the like can be integrated, so that the system can be conveniently and quickly used by a user, the working efficiency is improved, and the cost is lowered.

The invention relates to an intelligent space planning method and device, electronic equipment and a storage medium. The method comprises the steps that basic data of a target space and attribute information of a target object are acquired, and the basic data of the target space comprise space occupation information and the attribute information of an existing object; and according to the basic data of the target space and the attribute information of the target article, determining that the remaining space of the target space can accommodate the target article, and then according to the basicdata of the target space and the attribute information of the target article, determining a recommended arrangement result of the target article. The problems that articles are inconvenient and fastto store in space, space utilization is insufficient, and the processing effect is poor are solved.

An apparatus and method for storing and maintaining in a smart space device connectivity information of devices of the smart space including a plurality of disparate radio access technologies. The connectivity information is propagated to at least one other device of the smart space and is used for selecting an optimal distribution route for information to be shared in the smart space. Technologies such as NoTA, BillBoard and Whiteboard can be used.