• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.359-368
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• 2005

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have been so far rare. Hence, this paper aims to propose a proactive need awaring mechanism by applying agent, semantic web technologies and RFID-based context subsystem for a personalized reminder system, which is one of the supporting systems for a robust ubiquitous service support environment. Rescorla-Wagner model is adopted as an underlying need awaring theory. We have created a prototype system. called NAMA(Need Aware Muiti-Agent)-RFID. to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper Moreover, to test if the proposed system works in terms of scalability, a simulation was performed and the results are described.

• Journal of Korean Academy of Nursing
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• v.34 no.3
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• pp.400-411
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• 2004

Purpose: This study was aimed to develop a computerized reminder system and evaluate it's effect in terms of percent age change of screening, and satisfaction. Method: It was conducted through 6 phases: Analyzing the job and defining the basic input data, developing the information system, collecting and inputting data, testing the system, working with the system, and evaluating it's effect. Participants were 787 people (female 30-69 years, and males 40-49 years) in 2 dong of Suyoung gu, Busan, who haven't had cancer screening for the stomach, breast, or cervix since Dec. 2000. There were three experimental groups: a letter; calling and calling after the letter reminder, and a non-equivalent control group. To determine whether services were obtained, a telephone survey was done after two months of follow-up. Result: A cancer screening information system with five DB modules was developed. Overall compliance with screening was not statistically significantly changedbefore and after applying computerized reminders for all three screening sites. Only 16% were satisfied with the reminder. Conclusion: This data didn't show that a reminder effort was effective of screening. However, because the evaluation interval was too short to find a difference in screening rate, we recommend additional longer prospective follow up studies.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.242-248
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• 2004

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have so far been rare. Hence, this paper aims to propose a proactive need identification mechanism by applying agent and semantic web technologies and RFID-based context subsystem for a personalized reminder system, which is one of the supporting systems for a robust ubiquitous service support environment. We have created a prototype system, RFID-based NAMA (Need Aware Multi-Agent), to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper. NAMA considers the context, user profile with preferences, and information about currently available services, to discover the user's current needs and then link the user to a set of services, which are implemented as web services.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.221-227
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• 2021

An early warning system was developed to help identify stock status as early as possible. For performance to improve, there needs to be a feature to predict the amount of stock that must be provided and a feature to estimate when to buy goods. This research was conducted to improve the inventory early warning system and optimize the Reminder Block's performance in minimum stock settings. The models used in this study are the single exponential smoothing (SES) method for prediction and the economic order quantity (EOQ) model for determining the quantity. The research was conducted by analyzing the Reminder Block in the early warning system, identifying data needs, and implementing the SES and EOQ mathematical models into the Reminder Block. This research proposes a new Reminder Block that has been added to the SES and EOQ models. It is hoped that this study will help in obtaining accurate information about the time and quantity of repurchases for efficient inventory management.

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.107-113
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• 2017

In this paper, we propose a medication reminder system using IoT platforms and products to help old adults keep track of their medication schedule, one of 10 Korean instrumental activities in daily living (K-IADL). An interworking architecture based on the oneM2M standard platform is designed to allow various IoT products to be connected each other through interworking proxy entities. A prototype system for the medication reminder service is developed, which consists of a pair of off-the-shelf pill bottle and container box embedded with an NFC tag and reader respectively, three types of actuators including a LIFX LED lightbulb, Musaic speaker, Microsoft Band 2, and smartphone applications. The experiment shows that our medication reminder system can make alarms for old adults to take their pills appropriately considering where they are and when they have food inferred from data collected from sensors including ultrasonic sensor and rice cooker, fostering them to keep their medication routine.

• Asia pacific journal of information systems
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• v.14 no.3
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• pp.121-144
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• 2004

Developing a personalized system on a user's behalf which is working around the Internet-based marketplace is one of the challenging issues in intelligent e-business, especially mobile commenrce. It has been highly recommended that such a mobile personalized system has to perceive the user's needs a priori by tracking user's current context such as location with activity and then to identify the current needs dynamically and proactively. Automatically and unobtrusively getting user's context is an inevitable feature for the development of autonomous mobile commenrce. However, personalization methodologies and their feasible architectures for context-aware mobile commerce have been so far very rare. Hence, this paper aims to propose a context-aware mobile commerce development methodology by applying agent and semantic web technologies for personalized reminder system, which is one of the mobile commerce support system. We revisited associationism to understand a buyer's need identification process and adopt the process as 'purchase based on association' to implement a personalized reminder system. Based on this approach, we have showed how the agent-based semantic web service system can be used to realize need-aware reminder system. NAMA(Need-Aware Multi-Agent), a prototype system, has been implemented to show the feasibility of the methodology and framework under mobile setting proposed in this paper. NAMA embeds bluetooth-based location tracking module and identify what a user is currently looking at through her/his mobile device such as PDA. Based on these capabilities, NAMA considers the context, user profile with preferences, and information about currently available services, to aware user's current needs and then link her/him to a set of services, which are implemented as web services.

• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.1-23
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• 2005

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have been so far rare. Hence, this paper aims to propose a proactive need awaring mechanism by applying agent, semantic web technologies and RFID-based context subsystem for a personalized reminder system which is one of the supporting systems for a robust ubiquitous service support environment. RescorlaWagner model is adopted as an underlying need awaring theory. We have created a prototype system called NAMA(Need Aware Multi-Agent)-RFID, to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper. NAMA considers the context, user profile with preferences, and information about currently available services, to discover the user's current needs and then link the user to a set of services, which are implemented as web services. Moreover, to test if the proposed system works in terms of scalability, a simulation was performed and the results are described.

• Korean Journal of Digital Imaging in Medicine
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• v.11 no.2
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• pp.79-84
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• 2009

Recently, there has been a rapid increase of interest in u-Health systems or instruments. The importance of testbeds has been discussed deeply also. However, beyond laboratory or ward environments, testbeds covering metropolitan area cannot be found easily. Moreover, there has been few papers which discuss the results of testbed operations for various instruments in different age groups. In this paper, the results of testbed which operated in Daegu metropolitan area are discussed and improvement directions to strengthen the competitiveness are proposed using user analysis. In particular, the results of trial services using the u-Life support instruments (medication reminder, falling safety phone, bio-patch and shirts, etc) for super aging societies in the near future are discussed.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.157-157
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• 2004

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.578-580
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• 2018

의료기술의 발달로 인해 세계적으로 평균 수명이 늘었으며 그에 따라 노인 인구가 증가되고 있다. 2018년 기준 한국은 이미 고령사회로 진입을 하였다. 노령화에 따른 기억력 저하 등의 이유로 복약이 어려운 경우가 많다. 기존의 경우 단순히 복약할 시간에 대한 알림만 주는 경우가 많았다. 그에 따라 본 논문은 아두이노를 이용하여 약품 복용 알림 시스템을 구현하였다.