This technology concerns a hybrid bus boarding management system that allows bus users to convey their intention to board a desired bus. Specifically, it is a technology that links boarding request information among passengers, buses, and servers by utilizing both smart device apps and bus stop display terminals.
At existing bus stops, problems such as missing buses could occur due to multiple buses approaching simultaneously or passengers' intention to board not being clearly communicated to the driver. To address this, this technology proposes a method for integrated management of bus location, number of boarding requests, and boarding attempt information by linking display terminals, smart devices, bus boarding management servers, and SNS/big data servers.
Accordingly, this technology can more rationally support passengers' waiting for boarding and bus departure decisions, and can be expanded to enhance public transport operational efficiency, smart bus stops, and location-based lifestyle information services.
This technology relates to a measurement device for electrochemical luminescence devices and a method thereof. Specifically, it is a device technology for integrated measurement of voltage and luminance characteristics of electrochemical luminescence devices.
Conventional technology needed to address limitations of existing electrochemical lighting devices, such as performance degradation, rapid deterioration, and slow response speeds, by providing a method to verify material behavior logic based on device movement. Accordingly, this technology proposes a configuration that includes a power supply, a voltmeter, a photodiode, a signal processing unit, and a controller for measuring the voltage and luminance of electrochemical luminescence-based devices.
Accordingly, this technology can improve the performance and stability of electrochemical luminescence-based devices by preventing overcurrent and side reactions. It has valuable applications in the display, electronic device, and electronic component fields.
This technology relates to conductive polyamino acid derivatives, bio-circuit networks utilizing them, and methods for designing bio-circuit networks. Specifically, it is a bio-circuit network design technology using conductive polyamino acid derivatives.
Existing technologies faced challenges in ensuring biocompatibility while selectively delivering electrical stimulation to desired locations within biological tissues or cell culture environments. This technology, therefore, proposes a bio-circuit network that uses conductive polyamino acid derivatives to design electrical connection pathways and control cell growth locations and stimulation areas.
Accordingly, this technology enables precise control of electrical stimulation and signal transmission in cell culture environments, and can be extended to bio-electronic devices and tissue engineering applications. It holds significant value for applications in healthcare, pharmaceuticals, biotechnology, biology, and advanced materials.
This technology relates to a 3D printer integrated with a cutting unit. Specifically, it is a 3D printer technology that enhances surface quality by incorporating a linear motion cutting unit.
Existing technologies faced the challenge of accurately reflecting intended shapes in 3D prints and improving printing speed. To address this, the present technology proposes a configuration for a single 3D printer that includes a main frame, a mounting part, a bed, and a cutting part for lamination and cutting processes.
Accordingly, this technology improves the surface quality of 3D prints and shortens the time required for their manufacturing. It offers valuable applications in the 3D printing, machinery, and equipment sectors.
This technology relates to an LED detection method and apparatus for separating overlapping LEDs. Specifically, it is an image detection technology for separating overlapping LEDs based on a reference table.
In existing technology, when multiple LEDs overlap in an image within a vehicular visible light communication environment, there was a problem in stably distinguishing the position and center of each LED. To address this, the present technology proposes a method that manages LED information detected and separated in previous frames as a reference table, and then separately detects each LED using candidate centers and temporary boundary points in overlapping frames.
Accordingly, this technology can increase the identification accuracy of overlapping LEDs and improve the reliability of vehicle-to-vehicle visible light communication and image-based signal recognition. It has application value in the automotive, mobility, broadcasting, telecommunications, and electronic device sectors.
This technology concerns explaining the behavioral intent of AI agents to users in systems applying reinforcement learning and reflecting those results in system operation. Specifically, it is a technology that enhances the explainability of reinforcement learning-based decision-making by outputting the AI's intent before it acts, through an XAII provision module.
Existing reinforcement learning systems made it difficult for users to understand the purpose or intent of an agent's chosen actions in advance, which could limit reliability, controllability, and field applicability. To address this, this technology proposes a method that places an XAII provision module and an AI mode provision module in the control unit of an AI terminal, providing behavioral intent information to the input/output unit, and reflecting user feedback or result values.
Accordingly, this technology enables pre-explanation of AI agent actions, user confirmation, and adjustment of intervention levels, making it applicable to safety-critical automation systems, robots, defense and operational support systems, and explainable AI services.
This technology relates to a system and method for analyzing application installation information. Specifically, it is an application installation information extraction technique that analyzes Android installation logs and DB files.
Existing technologies faced limitations in malware detection within current systems, often addressed by analyzing system call logs and proposing methods to detect malicious activity in Openstack and HDFS using natural language sequence models and LSTM (Long Short-Term Memory). To overcome this, the present technology proposes a configuration that includes a log collection unit, a log analysis unit, and a database generation unit for collecting installation logs, analyzing configuration information, and recording application configuration information.
Accordingly, this technology can improve the ability to provide application configuration information by analyzing log extension files and DB extension files related to configuration data. It holds value for application in the software, IT, and internet sectors.
This technology relates to a harmonic compensation apparatus and method for a single-phase grid-connected inverter. Specifically, it is a single-phase grid-connected inverter harmonic compensation technology combining PI·PR control.
Conventional technologies needed to address the complexity of designing controllers to eliminate harmonics in a stationary reference frame and improve the power factor in grid-connected power systems. Accordingly, this technology proposes a configuration that includes a filtering unit, a current controller, harmonic compensation, and a pulse width modulation unit for a single-phase system interconnected inverter.
As a result, this technology can improve the output quality of a single-phase system interconnected inverter by reducing the Total Harmonic Distortion (THD) value. It has practical value in the fields of electricity, power generation, and energy.
This technology relates to an artificial neural network rule extraction apparatus and method. Specifically, it is an explainable AI technology that extracts the decision basis of artificial neural networks into logical rules.
Existing technologies faced limitations with traditional methods and required a more efficient and accurate approach, especially in extracting rules from artificial neural networks for data with continuous attributes. To address this, the present technology proposes a configuration that includes an artificial neural network rule extractor for learning input datasets, comprising a data learning unit, a first rule extraction unit, a binary classification unit, and a second rule extraction unit.
Accordingly, this technology can improve the accuracy and efficiency of extracting rules from artificial neural networks for data with continuous attributes, overcome the limitations of traditional methods, and provide a more efficient and accurate approach. It has value for utilization in the software, IT, and internet fields.
This technology relates to an event-operation-based multi-action intention inference device and method. Specifically, it is a multi-action intention inference technology that utilizes time-series perceptual information and conflict rules.
Existing technologies sought to address the difficulty of models predicting multiple intentions simultaneously and needed to resolve the lack of information at specific points in time for single intention prediction. To address this, this technology proposes a configuration that includes an input unit, an intention inference module, a heartbeat determination module, and verification of the error module.
Accordingly, this technology can improve the accuracy of action intention prediction and reduce the computational load required for decision-making. It has value for utilization in the healthcare, pharmaceutical, and software sectors.
This technology relates to a naval combat system device and its implementation method for controlling the combat operations of a naval vessel based on artificial intelligence. Specifically, it is a technology that processes reinforcement learning-based tactical and combat execution phases by linking sensors, consoles, platform equipment, and weapon systems with a system cabinet.
Existing naval combat systems faced challenges in providing quick and consistent judgments in complex combat situations when sensor information, platform control, weapon control, and tactical recommendations were operated separately. To address this, this technology proposes a method that integrates simulation data-based learning and combat execution algorithms by configuring sensor interface modules, multi-functional console modules, platform interface modules, weapon interface modules, and a system cabinet.
Accordingly, this technology can link AI-based tactical recommendations with equipment control during detection, control, and engagement processes, which is expected to have ripple effects in naval vessel operation automation, combat system advancement, and virtual training-linked defense systems.
This technology concerns a device and method for preventing the freezing of washing machine drain hoses. Specifically, it is a device technology that prevents washing machine drain hose freezing through ultrasonic vibration.
Existing technologies needed to address the frequent failure of washing machine drainage due to residual freezing in cold environments. This technology proposes a configuration that includes a drain body, a vibrator, an excitation unit, and a controller to prevent freezing of the drain pipe.
Accordingly, this technology can improve the efficiency of preventing drain pipe freezing and residual water in washing machines by using ultrasonic vibration. It has practical value in the fields of TVs, home appliances, and electronic devices.
This technology relates to an indoor positioning system and an indoor positioning method using the same. Specifically, it is an indoor positioning technology utilizing Wi-Fi and device sensor fusion.
Existing technologies, particularly conventional indoor positioning systems, needed to address precision issues in environments with obstacles such as Wi-Fi interference, walls, and human bodies. To address this, this technology proposes a configuration that includes a user terminal with a sensor, a wireless communication receiver, an AP selection unit, a distance measurement unit, a threshold comparison unit, and a position compensation unit.
Accordingly, this technology can improve the precision of indoor positioning systems by utilizing sensor data and Wi-Fi RSS values to estimate the user's location. It is valuable for applications in the IT, internet, software, and smartphone sectors.
This technology relates to a frame for mounting multiple laser radars, a laser radar system including the frame, and a method for integrating sensing data coordinates from the multiple laser radars. In particular, it is an automotive laser radar system technology that integrates coordinates from multiple low-cost LiDARs.
Existing technologies faced the challenge of high manufacturing costs and low precision associated with expensive multi-channel laser radars. To address this, this technology proposes a configuration comprising multiple laser radars positioned on the upper exterior of a vehicle, a frame unit for supporting the laser radars, and a controller for integrating sensed data and virtualized coordinates.
Consequently, this technology can improve precision and reduce the manufacturing cost of laser radar systems by implementing multi-channel laser radars using multiple low-cost laser radars. It offers significant value for applications in the automotive, mobility, electronic device, and electronic component sectors.
This technology relates to a monitoring system that monitors services deployed using a service mesh architecture. Specifically, it is a Service Mesh-based Microservice QoS Monitoring and Recovery Technology.
Existing technologies needed to address the complexity and challenges of service monitoring in microservice architectures by providing a service monitoring system that ensures service quality and efficient recovery procedures. Therefore, this technology proposes a configuration that includes an execution unit, an analysis section, a decision unit, and service discovery for monitoring services and ensuring service quality within a service mesh architecture.
Accordingly, this technology can improve monitoring and recovery processes in microservice architectures by providing a service monitoring system that ensures service quality and efficient recovery procedures. It offers valuable applications in the IT, internet, and software sectors.
