• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.35-47
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• 1999

Raisin Bread Intelligent agents are ninety-nine percent computer science and one percent AI (Etzioni 1990). 에이전트의 정의 An agent is a computer system, situated in some environment, that is capable of flexible autonomous action in order to meet its design objectives (Wooldridge and Jennings 1995). ㆍsituatedness: the agent receives sensory input from its environment and can perform actions which change the environment in some way ㆍautonomy: the system is able to act without the direct intervention of humans and has control over its own actions and internal state. ㆍflexible: responsive, pro-active, social(omitted)

• The Korean Journal of Food And Nutrition
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• v.8 no.4
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• pp.330-334
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• 1995

A various aseptic packaged cooked rice prepared In Korean rice was developed for extending shelf-life at room temperature. Data of proximate composition showed no significant difference between cultivars except moisture of cooked rice. The optimal condition of added water content for aseptic packaged cooked rice was 1.3 times of rice while 1.5 times for cooked rice and microwave heating. Hardeness of cooked rice was decreased in order of Dongjin, Odae, Chuchung, Kyaehwa, Ilpoom. Sensory evaluation results showed that Ilpoom had a best result while Odae for storage time (7 days).

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.3
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• pp.126-135
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• 2008

The development of an unmanned vehicle basically requires the robust and reliable performance of major functions which include global localization, lane detection, obstacle avoidance, path planning, etc. The implementation of major functional subsystems are possible by integrating and fusing data acquired from various sensory systems such as GPS, vision, ultrasonic sensor, encoder, and electric compass. This paper focuses on implementing the functional subsystems, which are designed and developed by a graphical programming tool, NI LabVIEW, and also verifying the autonomous navigation and remote control of the unmanned vehicle.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.115-122
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• 2017

In this paper, we propose an adaptive data aggregation and compression scheme for wireless sensor networks with energy-harvesting nodes, which increases the amount of data arrived at the sink node by efficient use of the harvested energy. In energy-harvesting wireless sensor networks, sensor nodes can have more than necessary energy because they harvest energy from environments continuously. In the proposed scheme, when a node judges that there is surplus energy by estimating its residual energy, the node compresses and transmits the aggregated data so far. Conversely, if the residual energy is estimated to be depleted, the node turns off its transceiver and collects only its own sensory data to reduce its energy consumption. As a result, this scheme increases the amount of data collected at the sink node by preventing the blackout of relay nodes and facilitating data transmission. Through simulation, we show that the proposed scheme suppresses the occurrence of blackout nodes and collect the largest amount of data at the sink node compared to previous schemes.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.11a
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• pp.44-44
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• 2009

Fault detection is necessary for yield enhancement and cost reduction in semiconductor manufacturing. Sensory data acquired from the semiconductor processing tool is too large to analyze for the purpose of fault detection and classification(FDC). We studied the techniques of fault detection using statistical method. Multiple regression analysis smoothly detected faults and can be easy made a model. For real-time and fast computing time, the huge data was analyzed by each step. We also considered interaction and critical factors in tool parameters and process.

• Journal of Korean Academy of Nursing
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• v.29 no.2
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• pp.248-257
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• 1999

The purpose of this study was to identify basic data for the health fare of normal pregnant women. The number of subjects was 779 pregnant women who received prenatal care in two University hospitals. The data, which were collected from June to October, 1998. and used the questionnaire “Symptom Table on Fatigue Perception” designed by the Research Committee of the Industial Fatigue in Hygienic. Association of Japan Industry. The collected data were scored by use of means and standard deviations according to the subjective symptoms of fatigue and each item as an independent variable was analysed by t-test and ANOVA test. The results are as follows : 1) Degree of subjective fatigue showed as an average of 1.81. Fatigue as physical symptoms had the highest score with 2.09. followed by neuro-sensory symptoms, 1.69 and psychological symptoms had the lowest score 1.66. 2) With the respect to the general characteristics of the subjects. there were statiscally significant difference in experience of pregnancy(t＝-2.286, p＝.023). wanted pregnancy(t＝-2.935, p＝.004), parity(t＝-2.429, p＝.015), sleeping time(F＝3.478, p＝.031). and presence of other child(t＝2.347, p＝0.19).

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.679-684
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• 1993

This article presents an approach to estimate the general 3D motion of a polyhedral object using multiple, sensory data some of which may not provide sufficient information for the estimation of object motion. Motion can be estimated continuously from each sensor through the analysis of the instantaneous state of an object. We have introduced a method based on Moore-Penrose pseudo-inverse theory to estimate the instantaneous state of an object. A linear feedback estimation algorithm is discussed to estimate the object 3D motion. Then, the motion estimated from each sensor is fused to provide more accurate and reliable information about the motion of an unknown object. The techniques of multisensor data fusion can be categorized into three methods: averaging, decision, and guiding. We present a fusion algorithm which combines averaging and decision.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.529-534
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• 2004

The increasing need and use of 3D GIS particularly in urban areas has produced growing attention on building reconstruction. Nowadays, the use of close-range data for building reconstruction has been intensively emphasized since they can provide higher resolution and more complete coverage than airborne sensory data. We developed a fusion approach for building reconstruction from both points and images. The proposed approach was then applied to reconstructing a building model from real data sets acquired from a large existing building. Based on the experimental results, we assured that the proposed approach cam achieve high resolution and accuracy in building reconstruction. The proposed approach can effectively contribute in developing an operational system producing large urban models for 3D GIS.

• Proceedings of the KIEE Conference
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• 1993.07a
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• pp.387-390
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• 1993

The most important technique for an indoor robot navigation is to find out the direction and the distance from the current location to the destination through the information achieved from the sensor. For this purpose, we suggest sensor-based local homing method which compares the destination sensory data with the current location. As for the sensors, we use the CCD camera and the ultrasonic sensor, and recorded entire 360 degree panoramic data. We match the features of the image data, and the distance and the direction of the matched point will be considered as fuzzy numbers. Through a simple fuzzy arithmetic, we infer the geometric relations between the current location and the destination location.

• Journal of Information Processing Systems
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• v.20 no.2
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• pp.252-262
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• 2024

The multi-hop wireless sensor network (WSN) suffers from energy limitation and eavesdropping attacks. We propose a simple and energy-efficient convergecast mechanism using inter-flow random linear network coding that can provide confidentiality to the multi-hop WSN. Our scheme consists of two steps, constructing a logical tree of sensor nodes rooted at the sink node, with using the Bloom filter, and transmitting sensory data encoded by sensor nodes along the logical tree upward to the sink where the encoded data are decoded according to our proposed multi-hop network coding (MHNC) mechanism. We conducted simulations using OMNET++ CASTALIA-3.3 framework and validated that MHNC outperforms the conventional mechanism in terms of packet delivery ratio, data delivery time and energy efficiency.