• Journal of the Korea society of information convergence
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• v.7 no.2
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• pp.49-57
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• 2014

Recently, opinion mining is introduced to extract useful information from SNS data and to evaluate the true intention of users. Opinion mining are required several efficient techniques to collect and analyze a large amount of SNS data and extract meaningful data from them. Therefore in this paper, we propose a parallel HDFS(Hadoop Distributed File System) and emotion functions based on Mapreduce to extract some emotional information of users from various unstructured big data on social networks. The experiment results have verified that the proposed system and functions perform faster than O(n) for data gathering time and loading time, and maintain stable load balancing for memory and CPU resources.

• Journal of the Korean Society of Safety
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• v.24 no.3
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• pp.79-87
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• 2009

The objective of this study is to develop accident scenario models for the risk assessment of railway casualty accidents. To develop these scenario models, hazardous events and hazardous factors were identified by gathering various accident reports and information. Then, the accident scenario models were built up. Each accident scenario model consists of an occurrence scenario model and a progress scenario model. The occurrence scenario refers to the occurrence process of the event before the hazardous event. The progress scenario means the progress process of the event after the hazardous event. To manage a large amount of accident/incident data and scenarios, a railway accident analysis information system was developed using railway accident scenario models. To test the feasibility of the developed scenario models, more than 800 domestic railway casualty accidents that occurred in 2004 and 2005 were investigated and quantitative and qualitative analyses were performed using the developed information system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.9
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• pp.3396-3411
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• 2015

Sensors used in Wireless Sensor Networks (WSN) have mostly limited capacity which affects the performance of their applications. One of the data-gathering methods is to use mobile sinks to visit these sensors so that they can save their limited battery energies from forwarding data packages to static sinks. The main disadvantage of employing mobile sinks is the delay of data collection due to relative low speed of mobile sinks. Since sensors have very limited memory capacities, whenever a mobile sink is too late to visit a sensor, that sensor's memory would be full, which is called a 'memory overflow', and thus, needs to be purged, which causes loss of collected data. In this work, a method is proposed to generate mobile sink tours, such that the number of overflows and the amount of lost data are minimized. Moreover, the proposed method does not need either the sensor locations or sensor memory status in advance. Hence, the overhead stemmed from the information exchange of these requirements are avoided. The proposed method is compared with a previously published heuristic. The simulation experiment results show the success of the proposed method over the rival heuristic with respect to the considered metrics under various parameters.

• Journal of the Korean Chemical Society
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• v.5 no.1
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• pp.66-72
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• 1961

A small size Fischer-Tropsch Catalyst testing apparatus, designed for an operating pressure of 150 psig, was test fabricated from ordinary schedule 40 iron pipes. The operability of the apparatus was tested by charging the reactor tube with the Lurgi Fischer-Tropsch iron Catalyst and passing through it the water gas obtained by gasifying the Korean anthracite using steam and oxygen. With the kind of catalyst charged, the apparatus was proven to daily produce about 50c.c. of synthetic greasy product, water and water soluble compounds, by running at a temperature of $250^{\circ}C$ and at a space velocity of 180 volume of gas per volume of catalyst/hr. About 20 consecutive days of operation is claimed to be sufficient for gathering an enough amount of synthetic products for such ordinary tests as distillation analysis, density measurement, iodine value determination etc. This trial fabrication of apparatus may be the first case of its kind in Korea in that the work has been conducted out in much a pilot plant scheme rather than a routine laboratory way which depends on small glass ware apparatus.

• Journal of Construction Engineering and Project Management
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• v.2 no.2
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• pp.53-60
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• 2012

Accurate assessment of $CO_2$ emission from buildings requires gathering $CO_2$ emission data of various construction materials. Unfortunately, the amount of available data is limited in most countries. This study was conducted to present the $CO_2$ emission data of concrete, which is the most important construction material in Korea, by conducting a statistical analysis of the concrete mix proportion. Finally, regression models that can be used to estimate the $CO_2$ emission of concrete in all strengths were developed, and the validity of these models was evaluated using 24 and 35MPa concrete data. The validation test showed that the error ratio of the estimated value did not exceed a maximum of 5.33%. This signifies that the models can be used in acquiring the $CO_2$ emission data of concrete in all strengths. The proposed equations can be used in assessing the environmental impact of various construction structural designs by presenting the $CO_2$ emission data of all concrete types.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.10
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• pp.1435-1441
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• 2013

This paper deals a watt-hour meter monitor system applying a Power Line Communication (PLC) MODEM and a Data Concentrator Unit (DCU) which can apply to Internet map based Graphical User Interface (GUI). The PLC MODEM is profitable by saving the cost of installing dedicated wiring, and Internet map GUI also is able to contribute an easy access to monitoring system for non export users. This system makes it possible to monitor the amount of electricity of previous/ current month metering data via Internet mapping service. The implement system can easily apply a PC-management for the electric charges and maintenance with gathering the metering data.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.7B
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• pp.848-857
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• 2011

Due to the advantages of a conveniet, inexpensive installation, flexibility, and scalability, Wireless AMR systems are recently preferred over wired AMR systems. However, a multi-hop supported AMR network, which generally covers large areas, may create energy wastage problem, energy unbalance, and high interference hazard due to a large amount of concurrent-intensive metering data in the network. Therefore in this paper we propose a novel data gathering method which can solve abovementioned problems as well as conserve energy, by reducing the traffic in the network. In addition, the experimental results demonstrate that the proposed scheme shows superior performance to the conventional data transmission method.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.3
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• pp.641-654
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• 1997

The purpose of this study is to investigate the relationship between the consumer's product knowledge and his/her ability to obtain information when buying clothing. For the purpose of this study, questionnaires were given to 550 university students living in Seoul and the Kwgi area. The questionnaires were designed to measure the consumer's knowledge about examine his/her method of gathering information and to obtain some personal information Vsing a base of 407 students, data was analyzed through cross- tabulation, the chi square test, the t-test, the one-way ANOVA accompanied by a post-hoc analysis with the Tukey method, Pearson's correlation coefficient, and the Spearman rho. The results of this study were as follows. 1) There was a significant difference in the amount of iuormation seeking between groups with different knowledge related to clothing. 2) The use of information sources was found to be significantly related to the consumer's subjective and objective knowledge. 3) The consumer's level of knowledge about clothing was related to the store characteristics that he/she took into consideration. The difference between the groups came from the number of store characteristics taken into consideration, rather than from the contents. The group that had more knowledge related to clothing was more aware of store characteristics than the other level stoup. Price, quality, uniqueness, and variety of clothing were equally important to by groups. 4) A moderate relationship was found between the consumer's subjective and objective knowledge, and between his/her purchasing experience and objective knowledge. There was a relatively high relationship between purchasing experience and subjective knowledge.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.399-402
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• 2017

We consider an sensor partitioning problem for energy-efficient measurement scheduling in a spatially correlated sensor field where sensors are located randomly. We divide the whole sensors into subsets of k sensors in the way of letting each subset give similar amount of mutual information. Then it allows more prolonged life time of the sensor field than measuring the sensors that gives most information only. To this end, we compute the Shapley value of each sensor and compose the subsets so that each subset can have total Shapley value similar with the other subsets.

• ETRI Journal
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• v.43 no.2
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• pp.232-245
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• 2021

As wireless communication continues to develop in limited frequency resource environments, it is becoming important to identify the state of spectrum utilization and predict the amount needed in future. It is essential to collect reliable information for data analysis. This paper introduces a platform that enables the gathering of the scheduling information of a long-term evolution (LTE) cellular system without connecting to the network. A typical LTE terminal can confirm its assigned resource information using the configuration parameters delivered from a network. However, our platform receives and captures only the LTE signal over the air and then enables the estimation of the data relevant to scheduling for all terminals within an LTE cell. After extracting the control channel signal without loss from all LTE subframes, it detects valid downlink control information using the proposed algorithm, which is based on the error vector magnitude of depatterned symbols. We verify the reliability of the developed platform by comparing it with real data from mobile phones and service operators. The average difference in resource block utilization is only 0.28%.