• IE interfaces
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• v.25 no.1
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• pp.71-78
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• 2012

Most manufacturing companies participate in various types of active collaboration to enhance competitive advantages in their arenas. In this paper, we introduce a data warehouse system that is designed for manufacturing collaboration. Just as enterprise information systems, collaboration support systems also need functions of performance measurement and monitoring. For this reason, we devise a new approach to measuring and evaluating performance of manufacturing collaboration. Specifically, we first present a concept of process warehouses for manufacturing collaboration. Next, we design a data schema of collaborative process warehouses to store and monitor collaboration performances. Finally, we implement a prototype system to support performance management of manufacturing collaboration. The proposed system can be used to effectively maintain and continuously improve collaboration in manufacturing industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.4
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• pp.1266-1271
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• 2010

In this paper, we implemented a heartbeat-signal monitoring system that can measure and check the heartbeat of a human body in any time and anywhere. The implemented prototype is composed of heartbeat measurement terminal, gateway, and server that collect and process data. The terminal compose sensor network using ZigBee protocol. And server acquire heartbeat signal through differentiating collected data two times, and store above data to database and manage it. We can understand the status of examinee's heart without restriction and self-awareness. Through experiment, we confirmed the possibility of ubiquitous healthcare system based on sonsor network using the ZigBee.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.5
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• pp.474-482
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• 2020

To ensure the safe operation of offshore plants, a system is needed for evaluating the equipment performance and for monitoring the results. Currently, owing to the operating environments of of shore plants situated far from the land, measurement data must be periodically stored in storage devices and carried on the land for evaluating the equipment performance. Consequently, it is difficult to prevent equipment failure because the performance evaluation cycle is long. Furthermore, until the next performance evaluation is conducted, it is difficult to determine the equipment's degree of performance degradation. Hence, it is necessary to install an onboard equipment performance monitoring system within the offshore plant. In this study, to evaluate and visualize the results of equipment performance within an offshore plant, a database was designed as the initial step towards the development of an equipment performance monitoring system. The tag data of major equipment were selected and analyzed. Furthermore, in order to store and manage the data measured in real time within the offshore plant, a database was developed for the onboard equipment performance monitoring system.

• The Journal of the Korea Contents Association
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• v.5 no.1
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• pp.217-227
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• 2005

In this paper, we present the result of an efficient implementation of DirectX-based multichannel visual monitoring system and the performance analysis of it. Our proposed system mainly consists of three subsystems: display, storage, and retrieval/playback. The display subsystem is designed to utilize efficiently H/W acceleration, overlay and flip of DirectX for faster real-time display, display synchronization among channels, and improvement of tearing artifact. For the performance improvement of storage speed, the storage subsystem is designed and implemented in DirectShow Filter-based multithreading architecture so that it can store multichannel video streams efficiently in each channel with minimizing data bottleneck among channels. In the retrieval and playback subsystem, efficient index file architecture and video data storage architecture, efficient playback architecture which can make playback be processed parallel among channels are designed and implemented for faster retrieval and playback,. Through experiments, our proposed system is shown to be maximally 2 times as fast in storaging speed and maximally 3.5 times as fast in retrieval and playback speed as the previous system.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.157-161
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• 2010

Most of air pollution in a metropolis is the result of exhaust gas emissions from automotive vehicles, and the world-wide regulation against environmental pollution is becoming more strict. Moreover the demand on development and supply of an environment-friendly automobile is increasing and the market share about that is expected to grow rapidly in this time of high oil price. The secondary batteries the most important component to store the electrical energy in hybrid electric vehicle. It needs to the higher power characteristics to emit the energy instantaneous. In this paper, we proposed the system to monitor reliably the charge and discharge states of the secondary batteries for hybrid electric vehicle. The material is about SW and HW module the software and hardware module mounted on the charge and discharge system and the monitoring system to control the charge and discharge performance effectively.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.231-234
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• 2001

OBD-II regulations are already effective in many countries. The California Air Resources Board(CARB) first issued regulations in 1985 for the 1988 model year, known as OBD-I, and required the vehicle's engine management computer to warn the driver by means of a dash-mounted light if a malfunction occurred in either the oxygen sensor, the exhaust gas recirculation(EGR) valve or the evaporative emission system purge solenoid, and to store information on troubles that have no recurrent characteristics. This paper presents two methods of wireless monitoring OBD signal, which is one of the ECU output for self diagnostic measurement. RF module is used to monitor ECU's Self diagnostic signal remotely. Two kinds of measurement systems which are based on micro-controller(80C196KC) for portable detection and PC for sever are considered for receiving the RF signal. Therefore, possibility of real-time monitoring of ECU's self diagnostic signal remotely is verified on this paper.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.211-218
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• 2018

Recently, various technologies related to IIoT are introduced continuously due to the spread of IoT and smart factory industries. This paper proposes the construction of a two-way wireless network system for monitoring plant equipment using these various technologies. The main technologies used in this thesis are design techniques for micro sensor nodes to monitor facility conditions at various sites, MQTT technology for wireless communication between local server and sensor nodes and Node-RED based design technologies, which store data collected and can be easily presented to users via wired and wireless wires. In addition, a wireless two-way camera system was also implemented in which the screen images of the site can be viewed in the situation room according to the instructions of the situation room when determining abnormal conditions.

• Journal of Internet Computing and Services
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• v.19 no.3
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• pp.1-6
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• 2018

Widely used around the world, smartphones contain many features and can store content such as contacts, photos, and videos. Information that can be leaked in proportion to the information that the smartphone can store has also been increased. In recent years, accidents such as personal information leakage have occurred frequently. Personal information leakage is happening in the Android environment, which accounts for more than half of the smartphone operating system market share. Analyzing malicious apps that leak information can tell you how to prevent information leakage. Malicious apps that leak information will send importantinformation to the hacker's (C & C) server, which will use network communication. Malicious apps that are emerging nowadays encrypt and transmit important information through SSL communication. In this case, it is difficult to knowwhat kind of information is exposed to network. Therefore, we suggest a method to analyze malicious apps when leak important information through SSL communication. In this paper, we identify the way malicious apps leak information. And we propose a method for analyzing information leaked by SSL communication. Data before encryption was confirmed in the device through SSL hooking and SSL Strip method.

• Journal of Information Technology Services
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• v.21 no.4
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• pp.91-103
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• 2022

This study proposes a model for predicting contracted power using electric power data collected in real time from convenience stores nationwide. By optimizing the prediction model using machine learning, it will be possible to predict the contracted power required to renew the contract of the existing convenience store. Contracted power is predicted through the XGBoost regression model. For the learning of XGBoost model, the electric power data collected for 16 months through a real-time monitoring system for convenience stores nationwide were used. The hyperparameters of the XGBoost model were tuned using the GridesearchCV, and the main features of the prediction model were identified using the xgb.importance function. In addition, it was also confirmed whether the preprocessing method of missing values and outliers affects the prediction of reduced power. As a result of hyperparameter tuning, an optimal model with improved predictive performance was obtained. It was found that the features of power.2020.09, power.2021.02, area, and operating time had an effect on the prediction of contracted power. As a result of the analysis, it was found that the preprocessing policy of missing values and outliers did not affect the prediction result. The proposed XGBoost regression model showed high predictive performance for contract power. Even if the preprocessing method for missing values and outliers was changed, there was no significant difference in the prediction results through hyperparameters tuning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.615-620
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• 2016

Improved quality of life has increased in a population with a high BMI (Body Mass Index). Accordingly, the development of a system for prevention of obesity management is required. Because a requirement for the prevention of obesity management system. This system has been developed to solve this problem and it is done by measuring the user information of the individual's body. The purpose of this paper is to understand the changes in your own BMI over the course of usage of this application and store the BMI in the database. This BMI data is expressed as a graph to the user and based on the BMI graph, the user is suggested to the type of exercise required by his body. The most appropriate exercise equipment's are shown to the user based on the BMI and also recommendations based on the historical data of other users with similar BMI. This system also recommends chronic diseases depending on blood sugar, blood pressure.