• Journal of Science Education
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• v.36 no.1
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• pp.1-13
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• 2012

What is the life of an assistant professor working at a college of education look like? The purpose of this paper is to describe and understand the life of an assistant professor as a science education researcher and as a teacher educator from exploring his life in a local national university. The researcher (I) conducted an autobiographic research in which I reconstructed and reflected my life by myself. I collected data/records on the life of myself, and developed a framework to classify them. The life of an assistant professor was categorized into the official life at the university and the personal life, and the former was sorted into education, research, and service and the latter was divided into personal and family. From the various profiles of my life, I found the main theme of 'change' and 'learning,' from which I reconstructed my life in narratives. I can express myself as an assistant professor with 'from myself to others,' 'balancing society and isolation,' and 'increasing room to maneuver through continuous learning.' I reflected my life and the role of a professor at a college of education, and discussed the educational implication of the result.

• Journal of KIISE
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• v.42 no.2
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• pp.190-202
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• 2015

Much research has been conducted on location-based intelligent personal assistants that can understand a user's intention by learning the user's route model and then inferring the user's destinations and routes using data of GPS and other sensors in a smartphone. The intelligence of the location-based personal assistant is contingent on the accuracy and efficiency of the real-time predictions of the user's intended destinations and routes by processing movement information based on uncertain sensor data. We propose a robust particle filter based on Dynamic Bayesian Network model to infer the user's routes. The proposed robust particle filter includes a particle generator to supplement the incorrect and incomplete sensor information, an efficient switching function and an weight function to reduce the computation complexity as well as a resampler to enhance the accuracy of the particles. The proposed method improves the accuracy and efficiency of determining a user's routes and destinations.

• ETRI Journal
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• v.27 no.5
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• pp.585-594
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• 2005

A small electronic nose (E-Nose) system has been developed using an 8-channel vapor detection array and personal digital assistant (PDA). The sensor array chip, integrated on a single microheater-embedded polyimide substrate, was made of carbon black-polymer composites with different kinds of polymers and plasticizers. We have successfully classified various volatile organic compounds such as methanol, ethanol, i-propanol, benzene, toluene, n-hexane, n-heptane, and c-hexane with the aid of the sensor array chip, and have evaluated the resolution factors among them, quantitatively. To achieve a PDA-based E-Nose system, we have also elaborated small sensor-interrogating circuits, simple vapor delivery components, and data acquisition and processing programs. As preliminary results show, the miniaturized E-Nose system has demonstrated the identification of essential oils extracted from mint, lavender, and eucalyptus plants.

• Annual Conference of KIPS
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• 2001.04b
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• pp.1197-1200
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• 2001

VXML은 사람 목소리나 전화기의 톤과 같은 음향 입력과 컴퓨터에 의해 합성 또는 녹음된 목소리를 들려주는 음성 출력을 가지는 음성 브라우저를 위한 웹 저작 언어이다. 본 논문에서는 VXML을 이용하여 작은 규모의 회사나 SOHO 사업자들에게 최적화된 ARS 기능, 음성 인식 기술을 이용하여 음성 메시지 저장 및 지능적 검색 기능, 사용자 부재 시 착신 전환 또는 SMS 통보를 찰 수 있는 개인용 전화 도우미 (PTA; Personal Telephone Assistant)의 설계 및 구현에 관하여 기술한다. PTA는 VXML 인터프리터를 내장하고 동적으로 VXML 문서를 적재함으로써 고객맞춤형의 ARS 기능을 지원한다는 장점을 갖는다.

• Journal of the Korean Society for Railway
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• v.7 no.3
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• pp.223-231
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• 2004

The accumulated BMS data have made it easy to make reasonable decision-making for bride maintenance and repair work. In the developing period of BMS, the bridge management was not easy due to the lack of understanding of BMS and low credibility of the data. In recent years, it has been possible to enhance the credibility of the data and to expand the application scopes of BMS with the efforts of Local Road Construction Offices. The reasonable decision making for bridge management can improve the performance of bridges under the practical constraints such as limited budget. It can then result in the reduction of bridge maintenance budget. This study provides the methodology for the application of mobile internet-based KOBMS for bridge management. The data flow for BMS is the most important factor for decision-making on budget allocation, and this study establishes the basic scheme of the data flow for BMS. The implementation of PDA for BMS may suggest a new paradigm of 'Mobile' in the field of construction management.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.96-104
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• 2006

In this study, data transmission ratio and power consumption issues of Zigbee based sensor module and personal digital assistant(PDA) were addressed to develop ECG telemetry device. PDA processes the data transmitted through serial port using non-blocking method. The transmission rate was dependent on the packet structure. It was 300 ECG samples/sec, when each packet was composed of 2 ECG data and 3-axial acceleration vector. Using two AAA batteries in series, operating time of the wireless sensor module was above 28 hours in average. Power consumption of PDA was dependent on screen ON/OFF condition and serial port usage. In this application, operating time of PDA was 5 hours in average. In conclusion, there was no problem in the power consumption of wireless sensor module and transmission rate, when the developed device was used as 24 hour Holter device. But, PDA has the problem of power consumption, which should be solved.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.379-389
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• 2020

This is a qualitative study about Google 'Nest Hub Max' that displays proactive intelligent personal assistant. Following the step of grounded theory, an in-depth interview for 6 users who had used this device for a month was taken. 186 concepts were discovered, categorized as 11 top-categories and 24 sub-categories. Paradigm diagram, considering axis-coding, was made and it have been narrowed down to 'Usage patterns' of proactive IPA, considering selective coding aspects. 'Usage patterns' were divided to passive and active user. Thus, neither passive user nor active user was satisfied about device and proactive IPA. This study is meaningful that it constructed basic data about the user experience of proactive IPA on this device. It will support the device or service that consists proactive IPA in the future.

• The Journal of the Korea Contents Association
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• v.3 no.1
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• pp.47-57
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• 2003

The POS(Point Of Sales) system is S/W and H/W that enables to analyse and evaluate sales information that has been collected in the real-time at point of sales by each department in the store. However, existing POS systems are mainly aiming at the large scaled store with the specific high-priced equipment, so that in applying them to a store specializing in food have weak point to use them in the cost or scale respect. In this paper, we design and implement a web based POS system with PC(Personal Computer) and PDA/(Personal Digital Assistant) in wireless internet environment to apply POS system to a store specializing in food, without specific equipments.

• The KIPS Transactions:PartB
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• v.18B no.2
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• pp.83-86
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• 2011

In this paper, we present the plan execution model for dynamic mobile computing environments, and then introduce the smart script system developed on these base models. The smart script system includes the smart script language, in which the task knowledge of a mobile personal assistant is represented, and the script execution engine, by which the scripts are dynamically executed in response to the given task goal and the environmental changes. In order to evaluate the utility and the performance of our system, we implement an application service called Smart Reservation and conduct some experiments.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.61-68
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• 2022

The present study was based on developing an AI based model to facilitate the academic registration needs of blind students. The model was developed to enable blind students to submit academic service requests and tasks with ease. The findings from previous studies formed the basis of the study where functionality gaps from the literary research identified by blind students were utilized when the system was devised. Primary simulation data were composed based on several thousand cases. As such, the current study develops a model based on archival insight. Given that the model is theoretical, it was partially applied to help determine how efficient the associated AI tools are and determine how effective they are in real-world settings by incorporating them into the portal that institutions currently use. In this paper, we argue that voice-activated personal assistant (VAPA), text mining, bag of words, and case-based reasoning (CBR) perform better together, compared with other classifiers for analyzing and classifying the text in academic request submission through the VAPA.