Abstract: A machine learning technology-based fault management system for network equipment that supports SDN OpenFlow protocol that includes an L2 switch or a router, which is network equipment connected to a client; and an Artificial Intelligence (AI)-based Software Defined Network (SDN) controller requested for management commands for each scenario when the L2 switch or the router, which is network equipment connected to the client, encounters a network fault so that a Simple Network Management System (SNMP) agent installed in the L2 switch and the router determines the type of fault occurred on a network and AI is employed to recover from a current fault through learning results from past data. An effect is achieved that not only service quality is improved through real-time fault management using an AI-based automatic response against a network fault but also a fault is precisely overcome by using the AI-based automatic response.

Abstract: A semiconductor device includes a substrate, an active pattern disposed on the substrate and that extends in a first horizontal direction, a field insulating layer disposed on the substrate and that surrounds a sidewall of the active pattern, a gate electrode disposed on the field insulating layer and that extends in a second horizontal direction, a source/drain region disposed on a side of the gate electrode, a first interlayer insulating layer disposed on the field insulating layer and that surrounds a portion of a sidewall of the source/drain region, a second interlayer insulating layer disposed on the first interlayer insulating layer and that surrounds a sidewall of the gate electrode, and a source/drain contact that penetrates through the second interlayer insulating layer and is electrically connected to the source/drain region. The source/drain contact includes a skirt that protrudes from a lower sidewall toward the second interlayer insulating.

Abstract: A semiconductor device includes: a substrate; an active pattern and a field insulating layer surrounding a sidewall of the active pattern on the substrate; first and second gate electrodes on the active pattern and extending in a direction different from that of the active pattern; an interlayer insulating layer surrounding a sidewall of each of the first and second gate electrodes; a gate spacer on opposing sidewalls of each of the first and second gate electrodes that includes a first sidewall and a second sidewall opposite the first sidewall in the first horizontal direction, each of which contacts the interlayer insulating layer; and a first gate cut dividing the second gate electrode into two portions, wherein the first gate cut includes a same material as the gate spacer; and wherein a first width of the first gate cut is smaller than a second width of the gate spacer.

Abstract: A semiconductor device is provided.

Abstract: The system for preparing silica aerogel according to the present invention comprises a raw material supply part transferring at least one raw material of de-ionized water, water glass, a surface modifier, an inorganic acid, and an organic solvent to a mixing part, the mixing part mixing the raw materials transferred from the raw material supply part to produce silica wet gel, a drying part drying the silica wet gel to produce the silica aerogel, a recovery part recovering a portion of the vaporized raw material of the raw materials used in at least one of the mixing part and the drying part, and a heat transfer part transferring heat to at least one of the mixing part and the drying part, wherein the system further comprises a pulverizing part that pulverizes the raw material from the row material supply part to the mixing part.

Abstract: A semiconductor device includes a substrate, a first active pattern that includes a first side wall and a second side wall opposite to the first side wall in a second horizontal direction, a first insulating structure in a first trench extending in the first horizontal direction on the first side wall of the first active pattern, a second insulating structure in a second trench extending in the first horizontal direction on the second side of the first active pattern, and includes a first insulating layer on side walls and a bottom surface of the second trench, and a second insulating layer in the second trench on the first insulating layer, a gate-cut extending in the first horizontal direction on the first insulating structure, and a gate electrode extending in the second horizontal direction on the first active pattern.

Abstract: A semiconductor device including a gate pattern on a substrate and including a gate dielectric layer, a gate electrode, and a gate capping pattern that are sequentially stacked; a gate spacer on a sidewall of the gate pattern; a source/drain pattern in the substrate; a contact pad on the source/drain pattern, a source/drain contact on the contact pad; and a buried dielectric pattern between the gate spacer and the source/drain contact, wherein the gate spacer includes a first segment between the gate electrode and the source/drain pattern; a second segment that extends from the first segment and between the gate electrode and the source/drain contact; and a third segment on the second segment, the buried dielectric pattern is between the third segment and the source/drain contact, and is absent between the first segment and the contact pad and is absent between the second segment and the source/drain contact.

Abstract: A machine learning technology-based fault management system for network equipment that supports SDN OpenFlow protocol that includes an L2 switch or a router, which is network equipment connected to a client; and an Artificial Intelligence (AI)-based Software Defined Network (SDN) controller requested for management commands for each scenario when the L2 switch or the router, which is network equipment connected to the client, encounters a network fault so that a Simple Network Management System (SNMP) agent installed in the L2 switch and the router determines the type of fault occurred on a network and AI is employed to recover from a current fault through learning results from past data. An effect is achieved that not only service quality is improved through real-time fault management using an AI-based automatic response against a network fault but also a fault is precisely overcome by using the AI-based automatic response.

Abstract: The present disclosure relates to an apparatus for preparing an oligomer, the apparatus including: a reactor for oligomerizing a feed stream containing a fed monomer; a stirrer inserted into a hole formed in an upper portion of the reactor; and a solvent transfer line extending inward from a side of the reactor, wherein the stirrer includes a rotating shaft vertically extending downward from the upper portion of the reactor, and a blade having a conical shape whose vertex is positioned at a lower end of the rotating shaft and outer diameter increases from a bottom toward a top, and the solvent transfer line has a plurality of spray nozzles formed in a direction toward the blade.

Abstract: An apoptosis regulatory gene is detected in an irradiated-thymic lymphoma cell by a method for detecting such an apoptosis regulatory gene in a low-dose-rate and low-level-irradiated thymic lymphoma cell of a mouse. This has an effect of revealing the function of an apoptosis regulatory gene by means of irradiation and providing a gene profile, by detecting an apoptosis regulatory gene detected in an irradiated-thymic lymphoma cell. The detected apoptosis regulatory gene is used to construct a gene profile that can assess the dose-response relationship of industrial and healthcare workers living in a low level-radiation environment. The detected apoptosis regulatory gene can be used as an index for evaluating the extent of cancer progression and the degree of treatment in patients with thymic lymphoma. The method for detecting such an apoptosis regulatory gene is used to prepare a composition for diagnosing thymic lymphoma and a diagnostic kit.

Abstract: Provided is a pharmaceutical composition including attenuated Streptococcus pneumoniae strains, and a method thereof for prevention or treatment of inflammatory diseases, respiratory viral infections, bacterial infectious diseases, or allergic diseases.

Abstract: Provided is a pharmaceutical composition including attenuated Streptococcus pneumoniae strains, and a method thereof for prevention or treatment of inflammatory diseases, respiratory viral infections, bacterial infectious diseases, or allergic diseases.

Abstract: The present disclosure relates to a method for treating a solvent in wastewater generated in a polycarbonate production process. More specifically, the present disclosure relates to a method for treating a solvent in wastewater generated in a polycarbonate production process, which can easily recover a high purity solvent regardless of the concentration of the solvent by using a membrane distillation method to reuse it, and contribute to energy savings.

Abstract: The present invention provides a a nanostructure which includes: a core comprising one or more planes configured to come into planar contact with at least one plane of an ice crystal; and an oligopeptide which is conjugated to at least one plane of the core and comprises (Thr)n-, (Ala)n-, (Ser)n-, or (Gly)n-, wherein the nanostructure is a polyhedron-shaped nanostructure present in water in a colloidal form to control freezing, and n is an integer of 2 to 7.

Abstract: A nanoparticle heterodimer in which Raman-active molecules are located at a binding portion of the nanoparticle heterodimer is disclosed. A core-shell nanoparticle heterodimer includes a gold or silver core having a surface to which oligo nucleotides are bonded; and a gold or silver shell covering the core. In addition, a core-shell nanoparticle dimer, a method for preparing same, and uses thereof are disclosed.

Abstract: A software input string is received and tokenized into a sequence of tokens. The sequence of tokens is applied to a trained sequence-dependent lock/unlock classifier so that each of the tokens is classified as a token that should be locked, or remain unlocked, for subsequent translation. The software input string is converted to a converted string, in which the locked tokens are identified and the converted string is submitted for machine translation. A machine translation result is received and converted so that the locked tokens are replaced in the machine translation result, to obtain a translated software string.

Abstract: The present disclosure relates to a method for treating a solvent in wastewater generated in a polycarbonate production process. More specifically, the present disclosure relates to a method for treating a solvent in wastewater generated in a polycarbonate production process, which can easily recover a high purity solvent regardless of the concentration of the solvent by using a membrane distillation method to reuse it, and contribute to energy savings.

Abstract: Provided is a pharmaceutical composition including attenuated Streptococcus pneumoniae strains, and a method thereof for prevention or treatment of inflammatory diseases, respiratory viral infections, bacterial infectious diseases, or allergic diseases.