This technology involves manufacturing leather fabric with excellent antibacterial properties using zinc zeolite and applying it as a shoe material. Specifically, it is an antibacterial leather manufacturing technology that applies a zinc zeolite composition during the leather dyeing and finishing process and subsequent coating process.
Existing antibacterial leather often uses chemicals that raise concerns about harmfulness to achieve antibacterial performance, and it has limitations in sufficiently suppressing odor and athlete's foot fungus problems caused by sweat and bacteria when wearing shoes. This technology proposes a method of treating raw leather material with zinc zeolite chemicals and coating the surface with a coating composition containing acrylic binder, urethane binder, and zinc zeolite.
Accordingly, this technology can simultaneously enhance both the antibacterial and physical properties of leather, offering industrial applicability in shoes, functional leather products, eco-friendly antibacterial materials, and household goods.
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 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 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.
