• Journal of the Korean Institute of Intelligent Systems
• /
• v.6 no.3
• /
• pp.94-98
• /
• 1996

The main goal of this paper is to investigate some properties in close connection with the quotient fuzzy norm $ induced by a fuzzy semi-norm $ on a linear space X and the quotient map $q:X{\rightarrow]X/W, $ where W is a subspace of X.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.1
• /
• pp.87-92
• /
• 2013

In this paper, we developed a digital and integrated PA(Public Address) system with speech recognition and sensor connection based on IP with an ID using agent. It has facilities such as an external input, a microphone and a radio for a PA system and has speech recognition. If "fire" is spoken to the PA system then it can recognize the emergency situation and will broadcast information to the appropriate agency immediately. In addition to that, many sensors, such as temperature, humidity, and infrared, etc., can be connected to the PA system and can be integrated with the context awareness which contains many types of information about internal statuses using inference agent. Also, developed the digital integrated PA system will make it possible to broadcast the message to adaptable places using network IP based on IDs. Finally, the digital PA system is designed for operation from a PC, which makes installation and setting of operating parameters very simple and user-friendly. For implementation details, we implemented thread based concurrent processing for the events which occur concurrently from many sensors or users.

• Proceedings of the KIEE Conference
• /
• 2008.07a
• /
• pp.2220-2221
• /
• 2008

전기계통설계 도면인 Single Line Diagram(단선도), Schematic Diagram(전개접속도), Cable Block Diagram/Cable Schedule, Cable Termination/Connection Diagram(단말결선)의 도면 상호간 데이터 연계에 의한 자동, 통합형태의 Intelligent 전기계통 도면 작성 프로그램 개발에 대한 기본적인 방향에 대하여 소개하고자 한다.

• Journal of Korean Elementary Science Education
• /
• v.41 no.2
• /
• pp.267-282
• /
• 2022

This study aims to analyze the continuity and sequence between the intelligent life curriculum for grades 1-2 and the science curriculum for grades 3-4 with a focus on knowledge and inquiry process skills. The results demonstrate that contents related to science in the intelligent life curriculum consisted of only 10 out of 32 elements. Five elements were related to the science curriculum for grades 3-4 and limited to the 'life sciences' area. Particularly, the intelligent life curriculum did not address topics related to 'matter' and 'motion and energy'. Developmental connection was established in the 'life sciences' area and dramatic changes were noted for the topics related to 'earth and space' area. In terms of inquiry process skills, the levels of observation, measurement, inference, and communication naturally increased, whereas a developmental connection was noted between the intelligent life and science curricula. Classification can be viewed as a developmental link; however, viewing the classification as scientific from the epistemic perspectives was insufficient. In the case of expectation, a gap was observed in both curricula due to the absence of expectation activities in the intelligent life curricula. The study discussed the implications for securing the connection between the intelligent life and science curricula on the basis of these results.

• The Journal of the Korea Contents Association
• /
• v.9 no.12
• /
• pp.77-85
• /
• 2009

As the multimedia technology has become in popular, many software packages that are for using those multimedia contents have also been developed. Directshow is a media framework which makes the development of such multimedia software simple, quick and regular process. In the Directshow, data are processed through the connections between filters. In general, Filtergraph is utilized to be set as 'Intelligent Connection' for filter connection. However, when we use this 'Intelligent Connection' option, they can show non-expected results or fail to connect with filter's pins together. So in this paper, we propose non-necessary filter cut-off method for connecting only just wanted filters. There are two methods such as inner filter cut-off method and outer filter one. The inner filter cut-off method is good at connection's compatibility and able to quickly connect with each other filter. But in the outer filter cut-off method, filter source is not necessary and connection is exactly done with other filter. In the end, we propose Directshow based filter cut-off model which compose of wanted filter connection and minimize error probability, through mixing up the advantages of two filter cut-off methods.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.21 no.3
• /
• pp.378-382
• /
• 2011

This paper develops the core competencies of manufacturing workers, analyze the consciousness structure on the core competencies. As the analyzing method of consciousness structure, ISM(Interpretive Structural Modeling) and FSM(Fuzzy Structural Modeling) are used to classify layers and determine the connection state. However, the element of each layer is frequently changed by data. This paper suggests the method with the point of view that the structure is determined basically and the connection state of the structure model is changeable depending on the method; first to determine structure model by ISM, second to determine connection by FSM. By using this method, the objective structure model, analyzing the consciousness on the core competencies of manufacturing workers, is suggested with specialist confirm.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.4
• /
• pp.15-23
• /
• 2021

In most hacking attacks, hackers intrudes inside for a long period of time and attempts to communicate with the outside using a circumvent connection to achieve purpose. research in response to advanced and intelligent cyber threats has been mainly conducted with signature-based detection and blocking methods, but recently it has been extended to threat hunting methods. attacks from organized hacking groups are advanced persistent attacks over a long period of time, and bypass remote attacks account for the majority. however, even in the intrusion detection system using intelligent recognition technology, it only shows detection performance of the existing intrusion status. therefore, countermeasures against targeted bypass rwjqthrwkemote attacks still have limitations with existing detection methods and threat hunting methods. in this paper, to overcome theses limitations, we propose a model that can detect the targeted circumvent connection remote attack threat of an organized hacking group. this model designed a threat hunting process model that applied the method of verifying the origin IP of the remote circumvent connection, and verified the effectiveness by implementing the proposed method in actual defense information system environment.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.16 no.2
• /
• pp.111-118
• /
• 2016

Artificial intelligence (AI) is making computer systems intelligent to do right thing. The AI is used today in a variety of fields, such as journalism, medical, industry as well as entertainment. The impact of AI is becoming larger day after day. In general, the AI system has to lead the optimal decision under uncertainty. But it is difficult for the AI system can derive the best conclusion. In addition, we have a trouble to represent the intelligent capacity of AI in numeric values. Statistics has the ability to quantify the uncertainty by two approaches of frequentist and Bayesian. So in this paper, we propose a methodology of the connection between statistics and AI efficiently. We compute a fixed value for estimating the population parameter using the frequentist learning. Also we find a probability distribution to estimate the parameter of conceptual population using Bayesian learning. To show how our proposed research could be applied to practical domain, we collect the patent big data related to Apple company, and we make the AI more intelligent to understand Apple's technology.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2001.01a
• /
• pp.83-88
• /
• 2001

To get the items that a buyer wants in Internet auction. he must search for the items through several auction sites. When the bidding starts, he(the buyer) needs to connect to these auction sites frequently so that he can monitor the bid stats and re-bid. A reserve-price auction reduces the number of connections, but this limits the user's bidding strategy. Another problem is equity between the buyer and the seller. Both the buyer and the seller should profit together within proper limits. In this paper, we propose an auction agent system using a collaborative mobile agent and a brokering mechanism called MoCAAS (Mobile Collaborative Auction Agent System), which mediates between the buyer and the seller and executes bidding asynchronously and autonomously. This reduces connection costs. offers more intelligent bidding and solves the equity problem.

• Electronics and Telecommunications Trends
• /
• v.33 no.6
• /
• pp.24-33
• /
• 2018

In the age of IoT, in which everything is connected to a network, there have been increases in the amount of data traffic, latency, and the risk of personal privacy breaches that conventional cloud computing technology cannot cope with. The idea of edge computing has emerged as a solution to these issues, and furthermore, the concept of ultra-low power edge intelligent semiconductors in which the IoT device itself performs intelligent decisions and processes data has been established. The key elements of this function are an intelligent semiconductor based on artificial intelligence, connectivity for the efficient connection of neurons and synapses, and a large-scale spiking neural network simulation framework for the performance prediction of a neural network. This paper covers the current trends in ultra-low power edge intelligent semiconductors including issues regarding their technology and application.