• Journal of the Korea Convergence Society
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• v.7 no.1
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• pp.37-42
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• 2016

Recent advances have been made in technology of sensor devices. Accordingly, the size of devices has been miniaturized, to which diverse functions can be applied. On top of that, the devices use image processing technology to observe circumstances of users' living spaces and detect risk situations saved in database. In case of detecting risk situations, M2M environment is constructed so that the information can be delivered to other communication devices to immediately raise an alarm. This paper aims to introduce solutions that construct M2M environment by using color detection algorithm of OpenCV and Raspberry Pi, raise an alarm to users in case of fire, and provide information on follow-up measures for it.

• The Transactions of the Korea Information Processing Society
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• v.7 no.9
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• pp.2958-2968
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• 2000

To effectively supervise WDM systems requires that the alarm signals for each optical transport network layer is considered. The related recommendations and studies for alarm signals are defining fundamental functions without specifying the structure and configuration of the supervisory channel. In this paper, we propose the detailed alarm signals and propagation flows for each optical transport network layer. We also describe the structure of overhead and the configuration of supervisory channel. Our proposals are based on the ITU T requirements of optical transport network and the supervisory schemes of terminal & add-drop systems. We show that our proposed schemes effectively performs supervisory functions for various fault conditions which will occur in terminal & add-drop typed WDM systems.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.157-161
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• 2009

In recent years, there is a remarkable progress in ICTs (Information and Communication Technologies), and then many attempts to apply ICTs to other industries are being made. In the field of disaster managements, ICTs such as RFID (Radio Frequency IDentification) and USN (Ubiquitous Sensor Network) are used to provide safe environments. Actually, various types of early warning systems using USN are now widely used to monitor natural disasters such as floods, landslides and earthquakes, and also to detect human-caused disasters such as fires, explosions and collapses. These early warning systems issue alarms rapidly when a disaster is detected or an event exceeds prescribed thresholds, and furthermore deliver alarm messages to disaster managers and citizens. In general, these systems consist of a number of various sensors and measure real-time stream data, which requires an efficient and rapid data processing technique. In this study, an event-driven architecture (EDA) is presented to collect event effectively and to provide an alert rapidly. A publish/subscribe event processing method to process simple event is introduced. Additionally, a complex event processing (CEP) technique is introduced to process complex data from various sensors and to provide prompt and reasonable decision supports when many disasters happen simultaneously. A basic concept of CEP technique is presented and the advantages of the technique in disaster management are also discussed. Then, how the main processing methods of CEP such as aggregation, correlation, and filtering can be applied to disaster management is considered. Finally, an example of flood forecasting and early alarm system in which CEP is incorporated is presented It is found that the CEP based on the EDA will provide an efficient early warning method when disaster happens.

• The KIPS Transactions:PartC
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• v.13C no.3 s.106
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• pp.295-302
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• 2006

An intrusion detection system writes a lot of alarms against attack behaviors in real time. These alarms contain not only actual attack alarms, but also false alarms that are mistakes made by the intrusion detection system. False alarms are the main reason that reduces the efficiency of the intrusion detection system, and we propose framework for false alarms analysis in the paper. Also, we apply an incremental data mining method for pattern analysis of false alarms increasing continuously. The framework consists of GUI, DB Manager, Alert Preprocessor, and False Alarm Analyzer. We analyze the false alarms increasingly through the experiment of the proposed framework and show that false alarms are reduced by applying the analyzed false alarm rules in the intrusion detection system.

• The Journal of the Acoustical Society of Korea
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• v.30 no.2
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• pp.73-79
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• 2011

This paper presents a new impulsive noise detection algorithm in speech signal. The proposed method employs the frequency domain characteristic of the impulsive noise to improve the detection accuracy while avoiding the false-alarm problem by the pitch of the speech signal. Furthermore, we proposed time-frequency domain impulsive noise detector that utilizes both the time and frequency domain parameters which minimizes the false-alarm problem by mutually complementing each other. As the result, the proposed time-frequency domain detector shows the best performance with 99.33 % of detection accuracy and 1.49 % of false-alarm rate.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.4
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• pp.537-548
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• 1993

The OSI fault management is composed of specific management functions such as the Alarm Reporting Function, Event Report Management Function, and Log Control Function. The fault management is to notify and manage the events and the alarm data which are transfered as the information of the fault management may be managed effectively. And it is necessary to design the model of the fault management properly by using these functions for the study of network management activities. Therefore, in this paper, the integrated management model of the Event Report Management and Log Control Function based on Alarm Reporting Function is investigated. Also, the system component of alarm collector which is added in the manager system for the effective fault management is studied and proposed.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.7
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• pp.217-224
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• 2022

Today, with the development of technology and industry, fire accidents in special buildings are increasing as special buildings increase. However, despite the rapid development of information and communication technology, human casualties are steadily occurring due to the underdeveloped and ineffective indoor fire alarm system. In this study, we confirmed that the existing indoor fire alarm system using acoustic alarm could not deliver a sufficiently large alarm to the in-room personnel. To improve this, we designed and implemented a fire alarm system using edge computing and beacons. The proposed improved fire alarm system consists of terminal sensor nodes, edge nodes, a user application, and a server. The terminal sensor nodes collect indoor environment data and send it to the edge node, and the edge node monitors whether a fire occurs through the transmitted sensor value. In addition, the edge node continuously generate beacon signals to collect information of smart devices with user applications installed within the signal range, store them in a server database, and send application push-type fire alarms to all in-room personnel based on the collected user information. As a result of conducting a signal valid range measurement experiment in a university building with dense lecture rooms, it was confirmed that device information was normally collected within the beacon signal range of the edge node and a fire alarm was quickly sent to specific users. Through this, it was confirmed that the "blind spot problem of the alarm" was solved by flexibly collecting information of visitors that changes time to time and sending the alarm to a smart device very adjacent to the people. In addition, through the analysis of the experimental results, a plan to effectively apply the proposed fire alarm system according to the characteristics of the indoor space was proposed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.1
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• pp.113-121
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• 2010

The system specification is a system theory based formal representation method for systems' structure and behavior modeling. When we make use of the system specification method in each step of software development, we can derive a hierarchical and modularized system design which enables us to manage the software development process flexibly. This research presents system specification based design of a mobile alarm system which sends alerts about illegal usage of private information and manages the response against the each alert. In our design of mobile alarm system, there are formal definition of alert message overcoming the functional limitation of mobile device and hierarchical modularized modeling of alarm processing using system specification. The efficiency of making use of the system specification is shown by applying the specification method to implementation of mobile alarm system. The contribution of this work is in design and implementation of mobile alarm system which enables us to handle the private information leakage situation more flexible way using system specification based software designing method.

• Proceedings of the Korean Nuclear Society Conference
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• 1998.10a
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• pp.75.2-75
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• 1998

• Nuclear Engineering and Technology
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• v.22 no.2
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• pp.128-138
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• 1990

This paper presents a prototype expert system (ESRCP) for Reactor Coolant Pumps. The purpose of this system is to diagnose RCP failures and to offer corrective operational guides to plant operators. The first symptoms for the diagnosis are the alarms which are related to the RCP domain. Alarm processing is required to find a primary causal alarm when multiple alarms occur. The system performs the alarm processing by rule-based deduction or priority factor operation. To diagnose the RCP failure, the system performs rule-based deduction or Bayesian inference. Various sensor readings are required as symptoms to infer a root cause. When the symptoms are insufficient or uncertain to diagnose accurately, Bayesian inference is performed.