Naver Corporation

About: Naver Corporation is a company organization based out in Seongnam-si, South Korea. It is known for research contribution in the topics: Terminal (electronics) & Computer science. The organization has 4038 authors who have published 4294 publications receiving 35045 citations. The organization is also known as: NAVER Corporation & NAVER.

Method and system for detecting concurrent logins

Abstract: Concurrent login detection system includes: a message receiving unit configured for receiving a log message which is indicative of a user identifier of a user, login/logout state of the user, and a session identifier, from an external server; a corresponding message retrieval unit configured for retrieving a corresponding message of the received log message from a memory wherein the corresponding message is a log message containing the same user identifier and the same session identifier with those contained in said received log message; and a message processor configured for removing said received log message and said retrieved corresponding message from the memory if the corresponding message is retrieved from the message buffer, and for storing said received log message in the memory if said corresponding message is not retrieved from the memory.

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Abstract: GPT-3 shows remarkable in-context learning ability of large-scale language models (LMs) trained on hundreds of billion scale data. Here we address some remaining issues less reported by the GPT-3 paper, such as a non-English LM, the performances of different sized models, and the effect of recently introduced prompt optimization on in-context learning. To achieve this, we introduce HyperCLOVA, a Korean variant of 82B GPT-3 trained on a Korean-centric corpus of 560B tokens. Enhanced by our Korean-specific tokenization, HyperCLOVA with our training configuration shows state-of-the-art in-context zero-shot and few-shot learning performances on various downstream tasks in Korean. Also, we show the performance benefits of prompt-based learning and demonstrate how it can be integrated into the prompt engineering pipeline. Then we discuss the possibility of materializing the No Code AI paradigm by providing AI prototyping capabilities to non-experts of ML by introducing HyperCLOVA studio, an interactive prompt engineering interface. Lastly, we demonstrate the potential of our methods with three successful in-house applications.

A Wifi Smart Power Outlet for Remote Monitoring and Control of Power Consumption

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Design and Implementation of Small Scale Electric Power Management System

Abstract: Conventional electric-power grids generally have unidirectional power flows from the power plant to the consumers. At small factories, however, the problem is that they inefficiently consume electricity because they consume the electrical power depending on the time of day (e.g., on-peak usually during the day and off-peak usually at night time). In this paper, we try to improve the existing energy management system and propose an energy management system that mainly focuses on the efficiency of electricity consumption. In the proposed management system, PMU (Power Management Unit) installed in switchboard is allowed to collect electric power data in a real time. We also use data mining method, which is applied to analyze the collected data for improving energy efficiency. Also, our proposed energy management system is designed to efficiently control electricity between PMU and management system in case of a shortage of electricity or surplus electricity. Through the experiment, we demonstrate that our proposed system improves the efficiency of electric power of small scale power plant.

System and method for determining ranking of keywords for each user group

Abstract: Provided are a system and method for determining rankings of keywords according to a user group. The keyword ranking determining system includes a data grouping unit to group data of a weblog according to a predetermined theme, a weight application unit to calculate a document concentration that denotes a concentration degree, with respect to the theme, of a document corresponding to the data grouped according to the theme and to apply a weight corresponding to the document concentration to the data, a data set generation unit to generate at least one data set by grouping the data applied with the weight according to a search intention and a ranking determination unit to determine rankings of the at least one data set according to the theme, and a main keyword determination unit to determine a main keyword representing each of the at least one data set.