This technology pertains to a bus stop operation system that manages passenger stop requests and whether buses can pass without stopping at bus stops. Specifically, it is a technology that displays scheduled stop information by linking bus information display devices, bus electronic display boards, control terminals, and integrated management servers.
At existing bus stops, it is difficult for drivers to clearly know if there are passengers waiting to board. Conversely, buses might unnecessarily stop at stops where no passengers are waiting, leading to decreased operational efficiency. Therefore, this technology proposes a method where, when a passenger selects a specific bus number on the display device, the control terminal analyzes that bus as a target for stopping and displays the scheduled stop information on the electronic display board and to the bus.
Accordingly, this technology can clearly communicate passengers' intent to board while reducing unnecessary stops, making it applicable to smart bus stops, public transportation operation management, and improving the efficiency of traffic services.
This technology relates to a failure recovery method for integrated cloud systems that include multiple platforms. Specifically, it is a technology for automatically recovering from workload failures in multi-platform clouds.
Existing technologies needed to ensure rapid service recovery without resource waste by addressing the problem of workload failure recovery in multi-platform cloud environments. This technology proposes a configuration that includes a method and system for integrating cloud systems, encompassing components such as alarm sensors, integrated management platforms, and platforms for workload deployment.
Accordingly, this technology can improve the efficiency of workload failure recovery in multi-platform cloud environments by reducing downtime and resource waste. It has value for utilization in the IT, internet, and software fields.
This technology relates to a microscope-based augmented reality navigation method, an apparatus for performing the same, and a recording medium. Specifically, it is an AR navigation technology that aligns intraoperative microscopic images with a 3D brain model.
Conventional technologies could not account for brain deformation over time and faced limitations such as errors caused by matching the skull instead of the brain. This technology addresses these issues by proposing a configuration that includes a rigid registration unit, simulation considerations, and an augmented reality controller.
Accordingly, this technology can improve the accuracy of navigation systems by providing real-time deformation of the brain model and enhancing surgeons' ability to confirm the precise shape of brain tissue during surgery. It has valuable applications in the healthcare, pharmaceutical, software, and electronics sectors.
This technology concerns a device and method for preventing cache side-channel attacks in blockchain wallet systems, and a recording medium for performing the method. Specifically, it is a security technology that protects blockchain wallet keys from cache side-channel attacks.
Existing technologies had a security vulnerability where blockchain wallet passwords or private keys could be exposed through cache side-channel attacks. To address this, this technology proposes a method that manages cache occupancy status and access patterns during wallet execution, and controls transaction processing and private key operations to prevent them from being inferred by external attackers.
As a result, this technology can enhance the protection level of blockchain wallet private keys and improve the security and reliability of digital asset trading services. It has value for use in the finance, insurance, software, IT, and internet sectors.
This technology relates to an ontology-based event calculus rule generation apparatus and method for recognizing human behavioral intentions. Specifically, it is a rule generation technology that recognizes human behavioral intentions using ontology and event calculus.
Existing technologies needed to overcome the limitations of conventional methods by directly defining event rules for actions, reflecting the expert knowledge of system developers rather than domain experts. To address this, the present technology proposes a configuration that includes a rule converter, an event recognizer, and an event calculus knowledge base for generating event rules for actions to recognize intent.
Accordingly, this technology can improve the application of expert knowledge for intent recognition and enable more efficient system development for healthcare. It holds value in the healthcare, pharmaceutical, and software sectors.
This technology relates to a system and method for blocking potential risks in naval combat systems that utilize reinforcement learning. Specifically, it is a technology that controls the AI's level of intervention during combat simulation and operational execution through the AI terminal's tactical inference module and AI mode provision module.
Existing reinforcement learning-based combat systems, if trained solely on achieving objectives, could not sufficiently reflect rules of engagement, operational guidelines, and the necessity of human intervention, potentially leading to dangerous decision-making. To address this, this technology proposes a method that provides definitions of intervention levels, such as AI Mode 0 to 5, and performs tactical inference and constraint reflection according to the corresponding mode before the agent acts.
Accordingly, this technology can progressively manage the autonomy level of military AI and secure the supervisory capability of operational personnel, thereby contributing to ensuring the safety of defense AI, naval combat systems, and high-risk reinforcement learning systems.
This technology relates to a method and apparatus for inter-vehicle LED boundary detection based on adaptive thresholding. Specifically, it is a technology for detecting inter-vehicle visible light communication LED boundaries using adaptive thresholding.
In existing technologies, there was a need to resolve common signal interference in high-density traffic and provide a reliable and accurate method for LED boundary extraction in vehicle visible light communication systems. Therefore, this technology proposes a configuration that includes a method for LED edge extraction, comprising classifying image points into boundary points, non-alarm points, and non-positive boundary points based on gradient values.
Accordingly, this technology can improve the accuracy and reliability of LED boundary extraction in vehicle visible light communication systems. It has value for application in the fields of automotive, mobility, broadcasting, telecommunications, and electronic devices.
This technology relates to a message delivery algorithm-based D2D relay system and method. Specifically, it is a D2D relay communication technology using a message delivery algorithm.
Existing technologies needed to overcome the limitations of end-to-end direct communication in mobile networks and enhance transmission performance through terminal-operated relay communication. To address this, the present technology proposes a configuration that includes a message delivery algorithm-based D2D relay system comprising a source node, a first resource node, a relay node, a second resource node, and a destination node.
Accordingly, this technology can improve the frequency utilization efficiency and coverage of cellular systems through D2D relay communication. It has application value in the broadcasting, telecommunications, IT, and internet sectors.
This technology relates to harmonic drive gears with an improved contact ratio. Specifically, it is a harmonic drive gear technology that enhances the contact ratio through a tooth profile design based on similar curves.
Existing harmonic drive gears, which provide continuous contact between the hardened tooth roots from internal treatment and the external tooth roots in areas of amplified flexspline deformation, faced a precision problem where torque separation occurred due to discontinuous contact of the hardened tooth roots. To resolve this, the present technology proposes a configuration comprising a wave generator, a flexspline, and a circular spline.
Accordingly, this technology improves the contact ratio in the area where the flexspline's deformation is amplified by providing a harmonic drive gear that ensures continuous contact between the upper part of the external teeth and the tooth roots of the internally treated hardened material. It has valuable applications in machinery, equipment, and electronic components.
This technology relates to a 3D printer with an integrated cutting unit. Specifically, it is a 3D printer technology that combines additive manufacturing with cutting and polishing into a single process.
Existing technologies faced issues with level differences in 3D prints and the need for additional processes such as grinding and machining to eliminate these differences. To address this, the present technology proposes a configuration that includes a main frame, a molding unit, a bed, and a cutting unit for lamination and cutting processes.
Accordingly, this technology can improve the efficiency and quality of 3D printing by combining lamination and cutting processes in a single machine. It offers valuable applications in the fields of 3D printing, machinery, and equipment.
