• 센서학회지
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• 제25권4호
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• pp.257-263
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• 2016

Among several technologies related to human brain, Brain Computer Interface (BCI) system is one of the most notable technologies recently. Conventional BCI for direct communication between human brain and machine are discomfort because normally electroencephalograghy(EEG) signal is measured by using multichannel EEG sensor. In this study, we propose 2-channel EEG sensor-based application control system which is more convenience and low complexity to wear to get EEG signal. EEG sensor module and system algorithm used in this study are developed and designed and one of the BCI methods, Motor Imagery (MI) is implemented in the system. Experiments are consisted of accuracy measurement of MI classification and driving control test. The results show that our simple wearable system has comparable performance with studies using multi-channel EEG sensor-based system, even better performance than other studies.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2020년도 제32회 한글 및 한국어 정보처리 학술대회
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• pp.363-368
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• 2020

글로벌 시대를 맞이하여 언어의 장벽을 해소하기 위하여 기계번역 연구들이 전 세계적으로 이루어지고 있다. 딥러닝의 등장으로 기존 규칙 및 통계기반 방법론에 비하여 눈에 띄는 성능향상을 이루어내고 있으며 많은 연구들이 이루어지고 있다. 인공신경망 기반 기계번역 모델을 만들 때 가장 중요한 요소는 병렬 말뭉치의 양과 질이다. 본 논문은 한-영 대용량의 말뭉치를 수집하고 병렬 말뭉치 필터링 기법을 적용하여 데이터의 양과 질을 충족시켰으며 한-영 기계번역 관련 객관적인 테스트셋인 Iwslt 16, Iwslt 17을 기준으로 기존 한-영 기계번역 관련 연구 중 가장 좋은 성능을 보였다.

• International Journal of Computer Science & Network Security
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• 제24권3호
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• pp.211-223
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• 2024

Chatbots have become very popular in our times and are used in several fields. The emergence of chatbots has created a new way of communicating between human and computer interaction. A Chatbot also called a "Chatter Robot," or conversational agent CA is a software application that mimics human conversations in its natural format, which contains textual material and oral communication with artificial intelligence AI techniques. Generally, there are two types of chatbots rule-based and smart machine-based. Over the years, several chatbots designed in many languages for serving various fields such as medicine, entertainment, and education. Unfortunately, in the Arabic chatbots area, little work has been done. In this paper, we developed a beneficial tool (chatBot) in the Arabic language which contributes to educating people about the Prophet's biography providing them with useful information by using Natural Language Processing.

• 정보보호학회논문지
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• 제23권5호
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• pp.885-896
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• 2013

사람이 개입할 필요 없이 기기 및 사물들을 셀룰러 망(cellular network)으로 연결하여 언제 어디서나 다양한 서비스를 제공하는 MTC(Machine Type Communications)는 차세대 통신의 주요 이슈로 고려되고 있다. 현재, 다수의 MTC 단말들이 동시적으로 망에 접속하려고 하면 각 MTC 단말들은 독립적인 접근 인증 절차를 수행해야 된다. 이로 인해 LTE-Advanced 네트워크에서 인증 시그널링(authentication signaling) 혼잡(congestion)과 부하(overload)의 문제가 야기된다. 본 논문은 그룹 기반의 인증 프로토콜과 키 관리 프로토콜을 제안한다. 그룹 단위로 MTC 단말들을 관리하기 위해 제안하는 프로토콜은 그룹 리더(leader)를 선출하고, 리더만이 코어 망(core network)과의 인증에 참여한다. 인증이 완료된 후, 그룹 리더는 이진트리(binary tree)를 구성하여 나머지 구성원(member)들과 MME(Mobility Management Entity)를 관리한다. 마지막으로 제안 프로토콜 분석은 제안하는 프로토콜이 MTC 단말들과 코어 망 사이에서 발생되는 인증 시그널링을 줄여줄 수 있을 뿐만 아니라 효율적으로 MTC 단말들을 관리할 수 있음도 보여준다.

• 한국언어정보학회지:언어와정보
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• 제19권2호
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• pp.1-18
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• 2015

This paper retraces the development of Database Semantics (DBS) from its beginnings in Montague grammar. It describes the changes over the course of four decades and explains why they were seen to be necessary. DBS was designed to answer the central theoretical question for building a talking robot: How does the mechanism of natural language communication work? For doing what is requested and reporting what is going on, a talking robot requires not only language but also non-language cognition. The contents of non-language cognition are re-used as the meanings of the language surfaces. Robot-externally, DBS handles the language-based transfer of content by using nothing but modality-dependent unanalyzed external surfaces such as sound shapes or dots on paper, produced in the speak mode and recognized n the hear mode. Robot-internally, DBS reconstructs cognition by integrating linguistic notions like functor-argument and coordination, philosophical notions like concept-, pointer-, and baptism-based reference, and notions of computer science like input-output, interface, data structure, algorithm, database schema, and functional flow.

• 전기학회논문지
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• 제56권4호
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• pp.677-682
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• 2007

In the distribution system, Change of system happens frequently. However, most of the relays are operated manually by a person or not changed when system changed. So, when fault happened, a case that relaydoes not act rapidly happens. Also, in current power system, digital relays are used because of digitization of relay. Digital relay has very many advantages than existing analog relay. One of these advantages is that communication is available and easily can make characteristic curve. If specific values are sent to a relay by communication, A relay can make suitable characteristic curve according to the value. In this paper, by using voltages and currents measured by relay, state of CB(Circuit Breaker) and these relays, SCADA(Supervisory Control And Data Acquisition) system that control and correct characteristic curve of overcurrent relay at system change by using HMI(Human Machine Interface) is proposed.

• Journal of Electrical Engineering and Technology
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• 제4권1호
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• pp.13-18
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• 2009

Because the existing Human-Machine Interface (HMI) for the conventional substation cannot dynamically indicate the configuration information of the Substation Automation System (SAS). In this paper, an intelligent station HMI is proposed for IEC 61850 based substation. The program of the proposed HMI not only can automatically generate the layout of single line diagram, but can also indicate the communication network and functions of IEDs by reading SCL files. It greatly helps monitor the operation status, communication network and each IED dynamically, such as failure detection in SAS. Furthermore, this paper presents the possibility of developing new software for SAS with the full use of IEC 61850-6. Once the software is complete, there is no need to change it when the substation is upgraded or when it is migrated to other IEC 61850 based substations, which is a cost-effective solution.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.854-861
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• 2005

The functional behavior of a portable consumer electronic (PCE) product is nearly all expressed with human-machine interaction (HMI) tasks. Although physical prototyping and computer aided design (CAD) software can show the appearance of the product, they cannot properly reflect its functional behavior. In this paper, we propose a virtual prototyping (VP) system that incorporates virtual reality and HMI functional simulation in order to enables users to capture not only the realistic look of a PCE product but also its functional behavior. We obtain geometric part models of the product and their assembly and kinematics information with the help of CAD and reverse engineering tools, and visualize them with various display tools. We adopt state transition methodology to capture the HMI functional behavior of the product into a state transition chart, which is later used to construct a finite state machine (FSM) for the functional simulation of the product. The FSM plays an important role to control the transition between states of the product. The proposed VP system receives input events such as mouse clicks on buttons and switches of the virtual prototype model, and it reacts to the events based on the FSM by activating associated activities. The VP system provides the realistic visualization of the product and the vivid simulation of its functional behavior. It can easily allow users to perform functional evaluation and usability testing. Moreover, it can greatly reduce communication errors occurring in a typical product development process. A case study about VP of an MP3 player is given to show the usefulness of the proposed VP system.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• 전자공학회논문지
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• 제51권12호
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• pp.123-129
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• 2014

복합 기능 기기의 발전에 따라 카메라는 방범 시스템, 운전자 보조 시스템 등 여러 분야에서 광범위하게 사용되고 있으며 많은 사람들은 이러한 시스템에 노출되어 있다. 따라서 시스템은 인간의 행동을 인식할 수 있고 인식된 행동으로부터 얻은 정보를 이용하여 유용한 기능을 사용자에게 제공할 수 있어야 한다. 본 논문은 이차원 영상 이미지에서 인식된 기계적 학습 접근 방법을 사용한 인간 행동 패턴 인식 기법을 제안한다. 제안된 방법은 인식된 사용자의 행동 패턴을 기반으로 사용자에게 유용한 기능을 실행하기 위한 정보를 제공하게 될 것이다. 먼저 소개하는 방법은 전화 통화 행동 인식이다. 차량 내부에 운전자 방향으로 설치된 블랙박스가 전화 통화 행동을 인식한다면 안전 운전을 위해서 운전자에게 경고를 줄 수 있다. 두 번째 제안하는 방법은 안전 운행을 위한 전방 주시 행동 인식으로서 운전자가 전방 주시하고 있는지 아닌지를 판단하기 위한 방법과 기준을 제안한다. 본 논문은 실시간 영상 조건에서 제안하는 인식 방법의 효용성을 실험 결과를 통해서 보여준다.