This technology concerns a safety lever and safety lever shelf designed to prevent items from falling during an earthquake. Specifically, it is a safety lever technology that secures shelf items in response to earthquake vibrations.
Existing technologies needed to address the problem of items falling and causing damage to goods and potential injuries during earthquakes, especially in earthquake-prone regions. To overcome this, the present technology proposes a configuration that includes a safety lever comprising a base, a lever, a weight, a momentum transfer unit, a bearing, a spring, a stopper, and a cover.
Accordingly, this technology can enhance the safety and security of items during an earthquake by providing a detailed solution to secure them in place and prevent damage. It has practical value in the fields of household goods, construction, and civil engineering.
This technology relates to SDN controllers, security enhancement systems in SDN environments, and security enhancement methods in SDN environments. Specifically, it is a security enhancement technology that prevents SDN link attacks through LLDP integrity verification.
Existing technologies needed to address LLDP link fabrication attacks and LLDP flood attacks in SDN environments by verifying the integrity of LLDP packets and monitoring the ports of each switch. To address this, this technology proposes a configuration that includes an SDN controller with a monitoring module, a switch list module, and a detection module.
Accordingly, this technology can improve the security of SDN environments by preventing LLDP link fabrication attacks and LLDP flood attacks. It has value for use in the broadcasting, telecommunications, IT, internet, and software fields.
This technology relates to a method and apparatus for predicting stock price fluctuations. Specifically, it is a deep learning technology that predicts stock price movements by combining news, stock price, and investor data.
Existing technologies faced limitations in predicting short-term stock price movements and delivering insufficient marginal returns. To address this, the present technology proposes a configuration that uses a deep learning model to predict stock price fluctuations, incorporating methods that consider both numerical and text data.
Accordingly, this technology can improve the accuracy of stock price prediction by considering various factors and data types. It has practical value in the finance, insurance, and software sectors.
This technology relates to a method for generating Android app call graphs, and a recording medium and device for performing the same. Specifically, it is an Android app call graph generation technology that combines DEX and SO analysis.
Existing technologies could not extract function call relationships in native code, such as C/C++, from obfuscated apps and needed to overcome limitations of conventional methods, such as decoding failures. To address this, the present technology proposes a configuration that includes a recording medium and a device for analyzing Android app call relationships, comprising an Android app analysis section, a DEX file analyzer, and an SO file analyzer.
Accordingly, this technology improves the extraction and visualization of functional call relationships in Android apps, thereby enabling easier analysis and understanding of app functionalities. It offers significant value for applications in the software, IT, and internet sectors.
This invention relates to a movable prefabricated shoring device, specifically designed to enhance space utilization and workability. It prevents the lateral collapse of excavated sections, such as those created for the replacement and installation of underground structures like sewage boxes. Forward and backward plates are installed on both sides of the excavated section, moving forward at regular intervals by hydraulic cylinders. This movement counteracts earth pressure and prevents soil collapse, allowing for continuous progression in the excavation direction, thereby improving space utilization and work efficiency.
When conventional methods are used for installing underground structures, the equipment mobilized occupies a large workspace, causing inconvenience to surrounding areas. Furthermore, in small-scale construction sites or narrow work environments where crane access for lifting underground structures is difficult, significant challenges arise during installation. These issues not only reduce workability but also lead to extended construction periods and increased costs.
This invention offers several advantages: it allows continuous movement within the excavated section for sewage box construction, eliminating the need for disassembly and reinstallation. As the device continuously moves to secure space for sewage box installation, it counteracts earth pressure and prevents soil collapse, enabling continuous construction. Furthermore, sewage boxes exposed by the device's continuous movement can be immediately backfilled, enhancing workspace utilization at the construction site. This makes sewage box construction feasible even in densely populated urban residential areas, areas with complex buried utilities, or high-traffic zones. Additionally, its prefabricated structure allows for flexible installation sizes to suit site conditions, offering easy disassembly and assembly, and increasing reusability.
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We also provide technology transfer.
This technology relates to a variable inductance device and its control method. Specifically, it is a power circuit control technology that adjusts inductance using variable resistors and coupled inductors.
Conventional technology needed to overcome the limitations of fixed inductance values in power conversion circuits by introducing variable inductor technology. Accordingly, this technology proposes a configuration that includes a coupled inductor with multiple coils, a variable resistor, and a negative feedback controller for feedback control.
Consequently, this technology can improve the efficiency and performance of power conversion systems by optimizing inductance values. It has valuable applications in the fields of electricity, power generation, energy, and electronic components.
This technology relates to a method for TCP session establishment in an SDN network and an SDN network to which the method is applied. Specifically, it is a TCP session establishment technology that mitigates SYN flooding in an SDN environment.
Existing technologies needed to address SYN flooding attacks in SDN network environments by efficiently defending against them. To this end, this technology proposes a configuration that includes a method for TCP session configuration in an SDN network, based on the widely used 3-way handshake mode.
Accordingly, this technology can improve the protection of server resources and prevent channel congestion in SDN networks. It has application value in the broadcasting, telecommunications, IT, internet, and software sectors.
This technology relates to an adsorbent for odor reduction and its manufacturing method. Specifically, it is a composite adsorbent technology for odor reduction that fuses organic adsorbents and inorganic binders.
Existing technologies faced limitations with conventional dust collectors and activated carbon methods, which suffered from efficiency issues due to oil content in gas and required frequent replacement or high maintenance costs. To address this, the present technology proposes a configuration that includes a method for manufacturing an odor reduction adsorbent, involving stirring, extrusion molding, and co-firing steps to create composite materials with enhanced adhesion and strength.
Accordingly, this technology can improve the efficiency and stability of odor reduction by maximizing the adsorption capacity of various odor-causing substances compared to existing activated carbon methods. It has value for utilization in the fields of environment, ecosystem, chemistry, and advanced materials.
This technology relates to a method and apparatus for outcome prediction. Specifically, it is an outcome prediction technology that utilizes neural network-based game data learning.
Existing methods for predicting game outcomes, which relied on easily accessible data for general users and analysis of variables affecting game results, had limitations that needed to be addressed. To overcome this, the present technology proposes a configuration comprising a method for predicting game outcomes using neural networks and an apparatus for implementing this method.
Accordingly, this technology can improve the accuracy of game outcome prediction by analyzing variables that influence game results. It holds significant value for applications in the gaming, entertainment, and software industries.
This invention is an in-corner repair tool for Euroform formwork. More specifically, it is an in-corner repair tool for Euroform formwork that can unfold and restore deformed corner forming sections.
When existing in-corner frames are used for extended periods, damage such as denting of the corner forming sections often occurs. This necessitates replacing the entire in-corner frame, leading to increased costs and difficult maintenance. Therefore, there is a pressing need for technological development to unfold and repair these dented corner forming sections.
The Euroform formwork in-corner repair tool of this invention allows for easy maintenance by enabling the simple unfolding and restoration of deformed corner forming sections. Furthermore, it significantly reduces the time required to restore the inner surface of these deformed corner forming sections.
Technology transfer is also available.
This technology relates to a network function virtualization operating device and method. Specifically, it is an NFV high availability operation technology that replaces faulty VNFs via containers.
In existing technologies, particularly in scenarios where virtualization services require significant resources and traditional backup plans are inefficient, there was a need to efficiently manage resources for high availability in a network function virtualization environment. To address this, the present technology proposes a configuration that includes a Network Function Virtualization Coordinator, a Virtual Network Function Manager, and a Virtual Infrastructure Manager to manage virtual resources and provide high availability in a virtualized network environment.
Accordingly, this technology can improve the efficiency of resource utilization and enhance service availability in a network function virtualization environment compared to traditional high availability support methods. It has value for use in the broadcasting, telecommunications, IT, internet, and software sectors.
This technology concerns a Hadoop data compression transmission method that considers bandwidth, as well as a recording medium and device for implementing it. Specifically, it is a technology that optimizes Hadoop data compression transmission by considering entropy and bandwidth.
Existing technologies needed to address the technical challenge of selecting whether to compress data and which optimal compression algorithm to use in data transmission, considering entropy and network bandwidth. This technology proposes a configuration that includes network bandwidth, information entropy calculation, and compression cost per compression algorithm based on decompression decisions.
Accordingly, this technology can improve transmission time and network traffic by selecting the compression algorithm most suitable for the network bandwidth. It has practical value in the IT, Internet, and software fields.
This technology concerns a method for managing the state of terminals performing M2M communication in a 5G network environment, along with a recording medium and device for implementing it. Specifically, it is a communication control technology that manages the RRC state and group mobility of 5G M2M terminals.
Existing technologies, by introducing a new RRC state model and managing the RRC state based on terminal grouping, needed to address challenges in managing location registration and paging in M2M communication, particularly concerning group mobility management. To this end, this technology proposes a configuration that includes a state management device for managing the RRC state of terminals performing M2M communication in a 5G network environment, encompassing a first conditional transition, a second state transition, and mobility management.
Consequently, this technology can enhance the efficiency of mobility management by reducing the signaling load generated during location registration and paging, particularly for group mobility management. It offers valuable applications in the broadcasting, telecommunications, IT, and internet sectors.
This technology relates to a method for emotion classification using speech signals, and a recording medium and apparatus for performing the same. Specifically, it is a speech-based emotion classification technology that combines multiple emotion classification models.
Existing technologies faced the challenge of lower accuracy in emotion classification methods using audio signals compared to those using facial expressions, necessitating a solution to improve the accuracy of audio-based emotion classification. To address this, the present technology is implemented through steps including constructing multiple emotion grouping models trained on a large number of audio signals containing various emotions; calculating an emotion discrimination certainty factor, specifically using these multiple emotion grouping models; and comparing the calculated emotion discrimination certainty factor with a standard value.
Accordingly, this technology can improve the accuracy of emotion classification by incorporating all speech feature data extracted from audio signals and utilizing multiple machine-executable classifiers. It has application value in the fields of software, IT, internet, gaming, and entertainment.
This invention concerns a lifting guide device temporarily installed inside boilers for combined heat and power plants, designed to facilitate inspection and maintenance work within the boiler furnace.
Combined heat and power plants are large structures. The large-capacity boiler furnaces, where combustion takes place, are subject to corrosion, deformation, and wear caused by flames and oxides, thus requiring regular inspection and maintenance.
Because large-capacity boiler furnaces can reach tens of meters in height, scaffolding has traditionally been installed to inspect and maintain their interiors. However, installing scaffolding over such a large area requires significant time and materials. Furthermore, even with multi-level scaffolding, to prevent blind spots during inspection and maintenance, the scaffolding must be installed at a certain distance from the furnace walls to create working space. This gap between the walls and the scaffolding creates a risk of safety accidents, such as workers falling, and significantly reduces work efficiency.
This invention allows for the simple and rapid assembly and installation of a lifting guide device inside the large-capacity boiler furnace of a combined heat and power plant. This enables safe and easy inspection and maintenance work within the boiler furnace, thereby significantly increasing work efficiency and reducing safety accidents.
