This technology is a functional wellness shoe that features a detachable, arch-shaped, double-sided cushion outsole with convex and concave surfaces, selectively providing cushioning and rolling functions suitable for both general walking and specialized activities.
Previously, there was the inconvenience of needing separate shoes and locking devices for specialized activities such as horseback riding. Additionally, incorporating springs or similar mechanisms to reduce joint impact during walking presented a challenge.
This technology allows users to freely switch between an impact-absorbing cushioning mode and an activity-specific rolling mode by attaching and detaching a reversible cushion outsole to a single shoe. Furthermore, its fastening structure prevents foreign substances from entering the attachment area, thereby enhancing both durability and stability.
This system is a safety management system that utilizes an NFC module and a communication shielding unit mounted on the back of a smartphone. In an emergency, with a simple action, it automatically performs pre-set safety measures such as calling a designated number, sending location, and recording audio and video.
Existing safety response methods require multiple steps and complex operations in an emergency, making it difficult to respond quickly and effectively at critical moments.
This technology normally blocks NFC communication with a communication shielding unit. In an emergency, simply removing this unit links the device with the NFC module and automatically launches a dedicated application, enabling simple and rapid safety measures without complex operations.
This technology concerns silica nanostructures, mesoscale assemblies incorporating them, their manufacturing methods, and the manufacturing methods for mesoscale assemblies that include these nanostructures. It is applicable to the micro/nano structural domain within advanced materials and chemistry.
Existing technologies are limited by their access to only a restricted number of crystalline phases, poor kinetic control, and a narrow range of post-synthesis structural modifications. This technology, therefore, proposes amorphous silica nanostructures that act as nanoscale amorphous phase materials, featuring controllable surface curvature, diverse shapes, forms, and internal structures, and comprising both a filled region and a hollow interior.
Accordingly, this technology's silica nanostructures feature a hollow frame, which has at least one spherical or polyhedral shape, and a filled region where a specific material is packed within the frame. These nanostructures offer controllable surface curvature, diverse shapes, forms, and internal structures. Consequently, the manufacturing method for mesoscale assemblies provides a significant advantage in producing mesoscale assemblies with the aforementioned benefits.
This technology was developed with project support from the Nanoscale-Spatially Confined Chemical Reactions Research Group of the National Research Foundation of Korea (NRF).
This technology describes an unpowered gait assistance mechanism that utilizes an elastic body to convert changes in distance between the device and the user, occurring during the user's gait, into a compensatory force.
Existing robotic gait assist devices that use external power sources had problems with temporal and spatial constraints, as well as reduced rehabilitation training effectiveness due to passive joint movements.
This technology, therefore, proposes a method that utilizes an elastic body, a link unit, and an action point conversion unit, all integrated into the weight support section, to convert the user's trunk movement force into gait assistance force and deliver it to the lower limbs in sync with the gait cycle.
This technology was developed through the support of the Pan-Government Medical Device R&D Project Group's research project on the development and usability evaluation of an indoor mobile gait rehabilitation device capable of weight support and lower limb muscle assistance.
This technology describes a mechanism for generating an AI model that leverages Visual Grounding technology to extract object category, position, and attribute information from images. This information is then converted into natural language instructions to plan and control a robot's manipulation trajectory.
Existing robot control methods required operators to manually input object coordinates and task details. This resulted in limitations such as the need for fixed object positions and low operational efficiency when generating commands for multiple objects.
This technology proposes a method for generating a training dataset and subsequently training an AI model. This is achieved using a first framework (GVCCI) which comprises: a visual feature extraction module that recognizes objects and extracts features from images; a module that generates context-appropriate natural language instructions; a model that infers targets and positions via a visual grounding model; and a manipulation module that plans the trajectory of a robot arm.
This technology was developed with support from the Institute of Information & Communications Technology Planning & Evaluation (IITP) through a self-directed AI research project focused on solving novel problems.
This technology extracts individual components of robots and obstacles, then predicts collision distances in parallel through pairwise batch operations. It trains a collision distance prediction model based on geometric feature vectors and relative transformation matrices. The minimum value among the predicted pairwise distances is calculated as the global collision distance, which can then be utilized for real-time motion planning.
Previously, high computational complexity led to performance degradation when calculating minimum distances, a crucial step for conventional motion planning algorithms in high-degree-of-freedom robot systems. Furthermore, data-driven learning methods suffered from low flexibility to environmental changes and frequent retraining requirements, limiting their versatility.
This technology proposes a model that learns by extracting relative transformation values and point cloud-based shape feature vectors between robot components and obstacles. By processing these inputs in batches and performing parallel computations, it enhances operational efficiency and provides flexibility to adapt to environmental changes without needing to retrain for specific shape elements.
This technology was developed with support from the Institute of Information & Communications Technology Planning & Evaluation (IITP) through its goal-oriented AI generation and inference research project.
This technology involves doping Mg, Ti, and Zr into a Na-Ni-Mn-Fe-based layered cathode active material to achieve a composite crystal structure where P2 and O3 phases coexist, thereby mitigating lattice deformation during charging and discharging and improving ion mobility.
Conventional transition metal-based layered cathode materials (Na-Ni-Mn-Fe system) have high discharge capacity, but they suffer from a rapid decrease in capacity retention due to structural instability during repeated charge/discharge cycles.
Accordingly, this technology proposes the design of a cathode active material with a composition of Na a Ni b Mn c Fe d Mg e Ti f Zr gO h (e.g., 0.70≤a≤0.80). Specifically, through Mg, Ti, and Zr doping, it expands the c-axis lattice within the crystal structure, thereby enhancing sodium ion diffusion performance and suppressing irreversible phase transitions, which significantly contributes to securing electrochemical cycle life and reversibility.
This technology was developed with support from the National Research Foundation of Korea's research project on 'Development of 4V-class aqueous lithium-ion batteries through AI-based novel lithium salt discovery'.
This technology converts RGB and depth information from images captured by a mobile robot into embedding data via an encoder module. This data is then mapped with the robot's position information to construct grid-based spatial map data. Subsequently, a decoder module generates rendered images from this map, and by learning the differences from the original captured images through a loss function, optimizes the neural network-based map generation model.
Existing grid-based map generation methods suffer from decreased map accuracy due to the accumulation of robot localization errors. They also require significant memory for storing visual information and have slow data processing speeds, making them difficult to apply in real-world robot operating environments.
This technology introduces a deep neural network encoder-decoder architecture to embed features of captured images into a grid. Through efficient position-information-based data recording and rendering processes, it is an excellent technology that can improve real-time environmental perception and localization accuracy.
This technology was developed with support from the Institute of Information & Communications Technology Planning & Evaluation (IITP) (SW Star Lab) research project 'Robot Learning: Efficient, Safe, and Socially Friendly Machine Learning'.
This technology pertains to an identity sharing system, specifically a distributed ledger technology-based user identity sharing system for virtual asset services. It enables the reception of counterparty identity information when virtual assets are sent and received using distributed ledger technology.
This user identity sharing system, which leverages a distributed ledger technology security platform for virtual asset services, prevents the forgery and alteration of user identity information. It also facilitates the sharing of user identity information among virtual asset service providers, other blockchain and distributed ledger technology platforms, and existing IT systems.
Furthermore, this technology enables compliance with anti-money laundering obligations related to virtual assets through the identity verification and storage of virtual asset senders and recipients. It also ensures adherence to the Financial Action Task Force (FATF) guidelines (Guidance for a Risk-Based Approach to Virtual Assets and Virtual Asset Service Providers) and personal information protection laws and regulations in each country.
[Standard Patent Details]
Domestic and international standards related to patent technology: TTA Telecommunications Technology Association Standard TTAK.KO-12.0374
This technology relates to an identity verification system, specifically a person-to-person non-face-to-face identity verification system using wireless communication. It operates by registering only the information required for verification on an on/off-chain, without storing personal information, and then verifying certificates with individual public keys on personal devices to generate integrated certificates.
The advantage of this technology is that the person-to-person non-face-to-face identity verification system, which uses wireless communication, allows for the exchange of electronically signed confirmations. These can then be verified with public keys registered on the on/off-chain, enabling the non-face-to-face exchange of verified certificates.
Furthermore, because event attendance certificates that can confirm participation can be generated, organizers of events, workshops, conferences, exhibitions, or meetings can quickly and accurately verify the attendance of numerous participants located at the venue simultaneously.
[Standard Patent Details]
Domestic and international standards related to the patented technology: International Standard ITU-T X.2310 (03/2026), TTA Information and Communication Association Standard TTAK.KO-12.0397
This invention relates to a smart farm crop monitoring method and system using drones. Specifically, it involves utilizing drones flying within a farm area to monitor the growth and pest/disease status of crops, and subsequently manage their conditions.
Traditionally, various chemicals must be preemptively sprayed on crops to prevent pests and diseases, or additional growth-promoting activities must be carried out. However, these activities lead to excessive human involvement and can also degrade crop quality. Therefore, we propose a smart farm crop monitoring method that utilizes drones to manage optimal crop growth.
This technology enables optimal crop growth management by utilizing drone-mounted sensors for target tracking. It identifies the growth status of crops by location and can preemptively analyze the occurrence of pests and diseases.
This invention relates to a forest fire monitoring device and system utilizing drones. Specifically, it is a technology that operates as a 360-degree rotatable CCTV, tracks the progression of forest fires when they occur, and can wirelessly transmit real-time fire images of the forest fire.
Existing fixed CCTVs have limitations in the initial response to forest fire suppression. Drones, with their limited flight time of up to 40 minutes, are also impractical for monitoring the vast areas of forests prone to fires. Therefore, this forest fire monitoring device utilizing drones proposes a method that involves a 360-degree rotating wireless charging pad and charging a battery equipped to receive wireless power supplied from this pad.
The forest fire monitoring system based on this technology effectively monitors fires across vast forest areas by utilizing multiple drone hangars and drones, thereby aiding in the early detection and suppression of forest fires.
This technology pertains to sensor-integrated actuator haptic devices and their manufacturing method. Specifically, it is a haptic device technology that integrates both sensors and actuators on a single plane.
Existing technologies faced limitations in conventional haptic feedback devices, such as cost, complexity, and durability, which necessitated integrating sensors and actuators into a single unit. This technology addresses these issues by proposing a configuration that includes sensors and actuators, comprising a lower electrode, an ionic elastomer layer, and an upper electrode, all arranged on the same plane.
Consequently, this technology can enhance the efficiency and cost-effectiveness of haptic feedback devices by integrating sensors and actuators into a single unit. It offers significant value for applications in electronics, healthcare, pharmaceuticals, and advanced materials.
This technology relates to digital door locks and their control methods. Specifically, it is a digital door lock technology that combines password and facial authentication with an intrusion prevention mode.
In existing technologies, there was a need to address the problem of potential security risks arising from administrators being unable to monitor real-time situations detected by digital door locks. To address this, the present technology proposes a configuration that includes a digital door lock equipped with a door lock communication unit, a sensing unit, a capturing unit, and a door lock controller.
Accordingly, this technology can enhance security by enabling administrators to recognize situations occurring around the digital door lock and take necessary actions. It has application value in the fields of household goods, real estate, and software.
This technology relates to a location tracking system and method. Specifically, it is an AP signal and pedestrian-based location tracking technology that switches between indoor and outdoor modes.
Existing technologies were specialized for either indoor or outdoor environments, which meant conventional location tracking methods had limitations in that they could not track locations without distinguishing between indoor and outdoor. To overcome this, the present technology proposes a configuration that includes a location tracking system. This system comprises a server that receives signals from a user's nearby APs and measures AP signal strength, and a mobile terminal that transmits information about the measured signal strength and receives AP signal strength information.
Accordingly, this technology can improve the accuracy of location tracking by seamlessly transitioning between indoor and outdoor location tracking modes based on the user's location. It has practical value in the fields of IT, internet, smartphones, and software.
