• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.873-878
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• 2020

Due to the recent development of 3D printers, interest in 3D printing is growing. 3D printing should reflect individual needs and various requirements by designing products to suit the user's requirements. Research on how to use 3D printed products for the purpose of purchasing products according to user's demand characteristics is insufficient. Therefore, this study conducted a survey and statistical analysis to find out the factors influencing the intention of purchasing custom controller products in 3D printing environments. Research has confirmed that user innovation and convenience safety are important factors for the satisfaction and purchase intent of personal-tailored controller products. Considering user innovation, convenience, and safety when producing controller products using 3D printing, it is expected that value of custom controller manufacturing can be increased. Research is needed on the personalized product development framework that successfully introduces and systematically supports the production methods of personalized products in the early stages.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.3
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• pp.1168-1188
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• 2018

Social Network Aggregators are used to maintain and manage manifold accounts over multiple online social networks. Displaying the Activity feed for each social network on a common dashboard has been the status quo of social aggregators for long, however retrieving the desired data from various social networks is a major concern. A user inputs the query desiring the specific outcome from the social networks. Since the intention of the query is solely known by user, therefore the output of the query may not be as per user's expectation unless the system considers 'user-centric' factors. Moreover, the quality of solution depends on these user-centric factors, the user inclination and the nature of the network as well. Thus, there is a need for a system that understands the user's intent serving structured objects. Further, choosing the best execution and optimal ranking functions is also a high priority concern. The current work finds motivation from the above requirements and thus proposes the design of a query processing system to retrieve information from social network that extracts user's intent from various social networks. For further improvements in the research the machine learning techniques are incorporated such as Latent Dirichlet Algorithm (LDA) and Ranking Algorithm to improve the query results and fetch the information using data mining techniques.The proposed framework uniquely contributes a user-centric query retrieval model based on natural language and it is worth mentioning that the proposed framework is efficient when compared on temporal metrics. The proposed Query Processing System to Retrieve Information from Social Network (QPSSN) will increase the discoverability of the user, helps the businesses to collaboratively execute promotions, determine new networks and people. It is an innovative approach to investigate the new aspects of social network. The proposed model offers a significant breakthrough scoring up to precision and recall respectively.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.8
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• pp.517-526
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• 2013

When developing an android mobile application the androids intent is used as a mechanism to send messages between local equipment of androids application inner part and other applications. But the androids intent does not support sending messages via each android products intent. If there is a way to support each androids equipments to send messages, it will be easier to make non-stopping services. Non-stopping service is used when the user is using the android to do word or searching services and suddenly changes to a different android product but still maintains the progress what was currently being done without waiting the programs to be loaded. It is possible to send messages to each android products by using the socket, but the connection must be maintained stably which is the weak point. In this paper, I am suggesting a BRIF(Broadcasting Remote Intent Framework) framework to send messages to different android products. BRIF is a framework that uses the Googles C2DM service which services asynchronous transmissions to different android products. This is organized with the C2DM server, RemoteContext Api, web server and RISP(Remote Intent Service Provider) which is will be easy to be used for the developers since there are no big changes for coding compared to the intent code.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.57-63
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• 2021

Spoken language understanding, which aims to understand utterance as naturally as human would, are mostly focused on English language. In this paper, we construct a Korean language dataset for spoken language understanding, which is based on a conversational corpus between reservation system and its user. The domain of conversation is limited to restaurant reservation. There are 7 types of slot tags and 5 types of intent tags in 6857 sentences. When a model proposed in English-based research is trained with our dataset, intent classification accuracy decreased a little, while slot filling F1 score decreased significantly.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.3
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• pp.311-325
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• 2016

This study aims to investigate strategies for attracting consumers in Urban Entertainment Centers and understand the relationship between user satisfaction and intention of revisiting. To accomplish this, the strategic attraction factors were set as functional, experiential, episodic, and semantic. The relationships between these factors and revisiting intentions were studied experimentally. The result of the study can be summarized to 3 points. First, the 4 strategic factors that were selected all had a significant influence on revisiting intention. Therefore the more these factors have an influence, the higher the satisfaction and revisiting intentions. Secondly, out of the attraction factors the one with the biggest influence to customer satisfaction turned out to be 'functional factors' which is related to convenience, accessibility and availability. The factor that had the biggest influence on revisiting intentions turned out to be 'semantic factors' which is related to events, unusualness and temporality. Through this result we can see that to enhance satisfaction 'functional factors' should be considered first and to increase revisiting intentions 'episodic factors' should be considered first. Thirdly, it could be assumed that satisfaction of the visitors could boost intentions of revisiting.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.5
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• pp.1145-1157
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• 2012

Google Android employs a security model based on application permissions to control accesses to system resources and components of other applications from a potentially malicious program. But, this model has security vulnerabilities due to lack of user comprehension and excessive permission requests by 3rd party applications. Broadcast intent message is widely used as a primary means of communication among internal application components. However, this mechanism has also potential security problems because it has no security policy related with it. In this paper, we first present security breach scenarios caused by inappropriate use of application permissions and broadcast intent messages. We then analyze and compare usage patterns of application permissions and broadcast intent message for popular applications on Android market and malwares, respectively. The analysis results show that there exists a characteristic set for application permissions and broadcast intent receiver that are requested by typical malwares. Based on the results, we propose a scheme to detect applications that are suspected as malicious and notify the result to users at installation time.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.131-141
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• 2009

An increasing variety of malware, such as worms, spyware and adware, threatens both personal and business computing. Remotely controlled bot networks of compromised systems are growing quickly. This paper proposes an intrusion detection system based outflow traffic analysis. Many research efforts and commercial products have focused on preventing intrusion by filtering known exploits or unknown ones exploiting known vulnerabilities. Complementary to these solutions, the proposed IDS can detect intrusion of unknown new mal ware before their signatures are widely distributed. The proposed IDS is consists of a outflow detector, user monitor, process monitor and network monitor. To infer user intent, the proposed IDS correlates outbound connections with user-driven input at the process level under the assumption that user intent is implied by user-driven input. As a complement to existing prevention system, proposed IDS decreases the danger of information leak and protects computers and networks from more severe damage.

• Journal of Biomedical Engineering Research
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• v.31 no.4
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• pp.269-274
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• 2010

The purpose of this study was to develop the FSR sensor suit that controls walking assist device for paraplegic patients. The FSR sensor suit was to detect user's intent and patterns for walking by measuring pressure on the palm and the sole of user's foot. It consisted of four modules: sensing pressure from palm, changing modes and detecting pressure on the palm/at the wrist, sensing pressure from the soles of user's foot, and host module that transmit FSR data obtained from sensing modules to PC. Sensing modules were connected to sensing pads which detect analog signals obtained from the palm or the sole of foot. These collect signals from the target regions, convert analog signals into digital signals, and transmit the final signals to host module via zigbee modules. Finally, host modules transmit the signals to host PC via zigbee modules. The study findings showed that forces measured at the palm when using a stick reflected user's intent to walk and forces at the sole of the user's foot revealed signals detecting walking state.

• ETRI Journal
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• v.37 no.2
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• pp.417-427
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• 2015

With recent advances in media technology, the creation of a relatively new service, N-screen, has been realized. N-screen provides seamless connections among various media and enables users to enjoy entertainment content at any time and any location. With such recent advances comes opportunity; therefore, for those N-screen service providers who have established an early edge in the ICT industry, it is imperative that they maintain this and stay ahead of the ensuing competition. In this context, the objective of this study is two-fold; first, we aim to find factors influencing the behavior of existing and potential N-screen service users, and then second, to examine the differences in how these factors operate within the two user types. The results of this study show that the perceived value and subjective norm are important influencers in both user types. However, price fairness and innovativeness are only influential on the attitude and intention of potential users, while some aspects of media usage have only significant influences on the behavior and loyalty of existing users. Based on these results, we provide some implications for both researchers and practitioners who wish to better understand the nature of N-screen users.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.316-320
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• 2005

We developed Intelligent Product Search Agent based on SWRL, and this agent can search product information with knowledge(facts and rules) on the web, implement price comparison for searched products considering delivery rates. Existing keyword based product search engines is poor at searching intent products though a user has already prefect knowledge about intent produces. Furthermore if a user has insufficient knowledge, it is impossible to implement search. Also, existing price comparison shopping mall gives users comparison service considering total price(product prices, taxes, delivery rates), this service is valid to single product and has limitations of system expansion and up-dating because of not rule base but programming base. If there is appropriate knowledge on the Semantic web and this makes product information retrieval possible, above problems can be solved clearly. In this research, we developed Intelligent Product Search Agent based on SWRL that can search product information efficiently by making agent to handle facts and rules by itself.