This technology relates to a switchgear designed to withstand natural disasters by lifting its main body using a pivot-coupled axis and cylinder structure connected to the outer and inner housing.
Conventional switchgear has been difficult to protect during natural disasters such as flooding or heavy rain.
To address this, the technology uses a cylinder-piston axis and a pivot-coupled axis to raise the main body, protecting the power distribution equipment during disaster situations.
This technology relates to a method for operating an electronic device that identifies and evaluates a user's emotions and symptoms through conversations with an AI chatbot and provides therapeutic content tailored to depression and anxiety disorders.
Existing counseling services have struggled to consistently provide appropriate therapeutic content in response to changes in a user's symptoms.
To address this, this technology enables personalized management by having a user-specific chatbot evaluate depression and anxiety disorders during each conversation and provide therapeutic content based on the results.
This technology relates to an antibody that specifically binds to human Fc alpha receptors and its immunologically active fragments. It maximizes the mechanism of action of various antibody therapeutics by binding to Fc alpha receptors on effector cells while maintaining the IgG format.
Conventional IgA antibodies had limitations in utilizing effector functions, making it difficult to fully achieve the cell-killing effects (ADCC and ADCP) of antibody therapeutics.
This technology is designed to bind to Fc alpha receptors on neutrophils, which constitute the highest proportion of immune cells in mammals. It overcomes the limitations of conventional IgA by enhancing antibody-dependent cell-mediated cytotoxicity (ADCC) and phagocytosis (ADCP), and can be broadly applied as various Fc-fusion protein therapeutics.
This technology describes a human body signal sensing sensor comprising a flexible substrate, non-reactive metal electrodes, and a surface component attached to the electrode surface to expand its area.
Conventional electrodes faced the challenge of a low signal-to-noise ratio when measuring human bioelectrical signals.
This technology increases the electrode surface area and capacitance through methods such as electroplating, ion etching, and nano-particle coating, thereby enhancing human signal measurement sensitivity and reducing noise.
This technology is a human physiological signal sensing sensor that includes a flexible substrate, wire connection electrodes, skin-attached electrodes, and via-attached electrodes penetrating the substrate.
In wearable devices, the use of snap fasteners and wires has caused problems such as signal degradation and discomfort during wear.
This technology improves contact between skin-attached electrodes and wire connection electrodes through a compliant substrate and via-attached electrodes, thereby enhancing the efficiency of human physiological signal measurement and minimizing discomfort.
This technology is a device and method for generating artificial thrombi at a desired location, consisting of an artificial blood vessel model with a closed-loop circulation path, a hollow tube, and a syringe.
Thrombectomy requires skilled operators and can lead to poor prognosis due to limitations in removing blood clots and micro-fragments.
This technology generates artificial thrombi at desired locations within an artificial blood vessel model as needed, providing a safe and controlled environment for training and research in thrombectomy procedures.
This technology relates to a method for operating an electronic device that performs consultation procedures based on status and evaluation information obtained from conversations with an AI chatbot.
Existing consultation services have struggled to flexibly adjust procedures according to the user's status.
To address this, the present technology conducts consultation procedures based on status and evaluation information identified in each conversation, providing systematic consultations tailored to the user's condition.
This technology describes a capsule endoscopy image interpretation system and method that preprocesses capsule endoscopy images, determines the presence of lesions using a convolutional neural network, and generates grad-CAM.
Accurately and efficiently interpreting a large volume of capsule endoscopy images has traditionally been time-consuming and prone to errors.
This technology enhances the accuracy and efficiency of interpretation by utilizing convolutional neural networks and grad-CAM to detect lesions and provide a basis for the diagnosis.
This technology accurately diagnoses diseases such as cancer by recovering diagnostic samples from biological samples with high purity and yield.
A limitation existed in effectively removing impurities, such as non-reactive antibodies, within a short time during the preparation of diagnostic samples.
This technology enhances the accuracy of disease diagnosis by separating extracellular vesicles from samples using an aqueous two-phase separation system composition and detecting targets through antigen-antibody reactions.
This technology is an aquaculture monitoring system comprising an imaging device (consisting of an underwater camera module and a router) and a LoRa communication-based power control unit.
Existing aquaculture monitoring systems consumed a lot of power, making long-term monitoring without battery replacement challenging.
This technology selectively controls the power of the camera and router using LoRa communication-based boot and ping messages, thereby reducing power consumption and enhancing the efficiency of real-time aquaculture monitoring.
This technology is a ventilator adapter system that includes an adapter connecting tracheostomy tubes, endotracheal tubes, or non-invasive masks to ventilator equipment.
There was a problem where irregular connection and disconnection of the ventilator circuit could cause potential harm to patients.
This technology provides stable connection, status monitoring, and alerts through a coupling part that mutually connects and disconnects with first and second connectors, utilizing proximity and humidity sensors.
This technology relates to a multi-roll bending machine in which support rolls and pressure rolls are arranged on a main frame consisting of side frames and a base frame, with the pressure rolls secured by an auxiliary frame featuring curvature grooves.
Conventional roll bending machines have suffered from issues with bending precision and repeatability due to insufficient structural rigidity in securing the pressure rolls.
To address this, our technology utilizes an auxiliary frame with a first groove featuring a curvature radius that corresponds to the pressure roll radius, firmly securing the top of the pressure roll to achieve stable and precise bending.
This technology describes a perfusable proximal tubular cell construct, printed co-axially and dual-tubularly using two types of bio-ink containing kidney tissue-derived decellularized material and cells, and its method of production.
Existing cell-based artificial kidney tissues and their production methods have had limitations in terms of maturation and functionality.
This technology matures a dual tubular structure, comprising vascular endothelial cells and proximal tubular epithelial cells, in a perfusion environment. It is then utilized as a bioreactor capable of observing drug responses similar to those in vivo.
This technology is a cell sorting device and method that preprocesses cell image data, classifies cells based on homogeneity using AI, and visualizes the basis for classification.
The challenge was to select functional stem cells and evaluate the efficacy of stem cell therapies in a standardized manner.
This technology uses AI to classify cells based on homogeneity and visualizes the key features for classification, thereby enhancing the accuracy and reliability of cell sorting.
This technology is a skin-attachable free flap blood flow monitoring system, consisting of a dual-element ultrasound transducer and a signal processing unit.
Existing free flap blood flow monitoring had limitations, being invasive or inaccurate, and relying on the subjective judgment of medical professionals.
This technology non-invasively monitors free flap blood flow, providing objective numerical data and waveforms in real-time, which enables early detection of blood flow abnormalities and increases surgical success rates.