• Journal of Sasang Constitutional Medicine
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• v.7 no.2
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• pp.183-212
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• 1995

In order to investigate the influence of four Sasang prescriptions, $So{\breve{u}}min$ P'almunjat'ang(SPG), $So{\breve{u}}min$ Sltibimikwanjungt'ang(SSK), $T^{\prime}ae{\breve{u}}min$ $Chowis{\breve{u}}ngch^{\prime}{\breve{o}}ngt^{\prime}ang$(TCS), and $T^{\prime}ae{\breve{u}}min$ $Ch^{\prime}{\breve{o}}ngp^{\prime}yesagant^{\prime}ang$(TCP), on the activity of the autonomic nervous system in the rats exposed to noise and vibration stress, the contents of catecholamines in the urine, body temperature, heart rate, blood pressure, and stomach mucosa change were checked in this experiment. The results obtained were as follows; 1. On the 7th and 12th days from the beginning, the experimental indexes of the controled group were increased more than those of the normal group, and it meant that the noise and vibration stress induced an autonomic nervous system disorder in rats. 2. The urine-epinephrine contents in all experimental groups were decreased more than in the controled group, and in the Tcs and the Tcp groups those were significantly decreased on the 7th and 12th days. 3. The urine-norepinephrine contents in the SPK, TCS, and the TCP groups were significantly decreased on the 7th day, and in the TCS and the SPG groupsthose were significantly decredsed on the 12th day. 4. The urine-dopamine contents in the TCS group were significantlly decreased on the 12th day. 5. The body temperaature was decreased significantly in the SPG and the SSK groups on the 7th day. 6. The heart rate was significantly decreased in the SPG group on the 7th day, and it was decreased significantly in the SPG and the SSK groups on the 12th day. 7. The blood pressure was decreased in ghe SPG group significantly on the 7th day. 8. The stomach mucosa remarkably recovered from gastric ulcers in the SPG group and significantly recorvered in the other groups on the 7th day. From the above findings, th could be assumed that Taeumin and Soumin prescriptions had some significant influence on the control of the autonomic nervous system in the rats that recieved stress.

• ETRI Journal
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• v.44 no.1
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• pp.135-146
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• 2022

The importance of big data analytics has become apparent with the increasing volume of data on the Internet. The amount of data will increase even more with the widespread use of Internet of Things (IoT). One of the most important application areas of the IoT is healthcare. This study introduces new real-time data analytics architecture for an IoT-based smart healthcare system, which consists of a wireless sensor network and a radio-frequency identification technology in a vertical domain. The proposed platform also includes high-performance data analytics tools, such as Kafka, Spark, MongoDB, and NodeJS, in a horizontal domain. To investigate the performance of the system developed, a diagnosis of Wolff-Parkinson-White syndrome by logistic regression is discussed. The results show that the proposed IoT data analytics system can successfully process health data in real-time with an accuracy rate of 95% and it can handle large volumes of data. The developed system also communicates with a riverbed modeler using Transmission Control Protocol (TCP) to model any IoT-enabling technology. Therefore, the proposed architecture can be used as a time-saving experimental environment for any IoT-based system.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.170-178
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• 2024

Through the growth of the fifth-generation networks and artificial intelligence technologies, new threats and challenges have appeared to wireless communication system, especially in cybersecurity. And IoT networks are gradually attractive stages for introduction of DDoS attacks due to integral frailer security and resource-constrained nature of IoT devices. This paper emphases on detecting DDoS attack in wireless networks by categorizing inward network packets on the transport layer as either "abnormal" or "normal" using the integration of machine learning algorithms knowledge-based system. In this paper, deep learning algorithms and CNN were autonomously trained for mitigating DDoS attacks. This paper lays importance on misuse based DDOS attacks which comprise TCP SYN-Flood and ICMP flood. The researcher uses CICIDS2017 and NSL-KDD dataset in training and testing the algorithms (model) while the experimentation phase. accuracy score is used to measure the classification performance of the four algorithms. the results display that the 99.93 performance is recorded.

• 한국신재생에너지학회:학술대회논문집
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• 2005.11a
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• pp.182-190
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• 2005

This paper proposes central monitoring system(PVCMS) based on a TCP/IP network for effective integrating management about photovoltaic systems. We don't gain confidence the result of production simulation, because the output of PV system have many various environmental change factor. So if we can obtain real operated data about each sites and system types to use PVCMS, we can define the environment change factor to compare with simulation data. And this paper try to access about total management and data analysis methods of renewable energy through results analysis to synthesize of the operation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.10
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• pp.2164-2170
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• 2011

Rapid surge in date quantity lead to increase in storage demand from corporate. The existing SAN with fiber channel is being changed to IP-based SAN environment due to installment and maintenance cost. But the IP-based network still have some similar security problems as existing TCP/IP network. Also, for the security reasons of storage traffic, data are encrypted, but with the existing system, data larger than 10G can't be handled. To address security and speed issue, this paper proposes to a structure applied to IP SAN environment with Parallel Structure Word-based FSR (PS-WFSR) as hardware.

• Journal of Pharmacopuncture
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• v.6 no.3
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• pp.91-106
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• 2003

Objectives : The aim of this study was to examine the effects of electroacupuncture(EA) at the PC6(Naegwan) and the TE5 (Oegwan) on nounal humans using power spectral analysis. Methods : EEG power spectrum exhibit site-specific and state-related differences in specific frequency bands. In this study, power spectrum was used as a measure of complexity. 30 channel EEG study was carried out in 30 subjects(30 males ; age=23.7 years). Results : In ${\alpha}$(alpha) band, the power values at F7 channels(p<0.05) during the PC6-acupoint treatment were significantly were decreased. In ${\beta}$(beta) band, the power values at Fp1, Fz, TT1, T5, P3, P4, Po1, P02, O1, Oz, O2 channels(p<0.05) during the non-acupoint treatment and at Fp1, F4, F8 channels(p<0.05) during the TE5-acupoint treatment significantly were increased. In ${\theta}$(theta) band, the power values at Fp1 channels(p<0.05) during the non-acupoint treatment and at Oz channels(p<0.05) the TE5-acupoint treatment significantly were increased. but, the power values at F7 channels(p<0.05) during the non-acupoint treatment were significantly were decreased. In ${\delta}$(delta) band, the power values at TCP1, TCP2, CP1, T5 channels(p<0.05) during PC6-acupoint treatment were increased and the power values at F7, TT2 channels(p<0.05) during non-acupoint treatment were increased. but, the power values at the TE5-acupoint treatment significantly was decreased than the before-acupuncture treatment.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.6
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• pp.565-570
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• 2015

In this paper, we implemented the smart door lock system that control remotely devices using the concept of internet of things. Internet of things is intelligent system that can help devices to communicate with people and devices. And recently internet of things is getting attention because of advance of hardware technology and big data. The smart doorlock system based on internet of things used raspberry pi, sensor and doorlock. Using the smart phone, doorlock can be controlled from the raspberry pi server. And the user can identify some people that is in front of doorlock. also user can check around of doorlock in realtime using the raspberry pi camera.

• Journal of Convergence for Information Technology
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• v.7 no.6
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• pp.173-179
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• 2017

Recently, with the development of IoT, there have been increasing cases of transmitting and receiving data by connecting more than one devices supporting various communication methods. In this paper, we propose a multi-terminal emulator supporting various communication methods. The system supports multiple channel connections for each communication method, schedules data transmission, collects communication statistics, represents them into graphs, and stores log records. By using this system, it is possible to test the communication connection between multiple devices, and it is expected to provide convenience for IoT system development.

• Journal of KIISE:Information Networking
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• v.31 no.4
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• pp.414-428
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• 2004

Many portable devices are coming to be commercially successful and provide useful services to mobile users. Mobile devices may request a variety of data types, including text and multimedia data, thanks to the rich content of the Internet. Different types of data and/or different classes of users may need to be treated with different qualities of service. The implementation of service differentiation in wireless networks is very difficult because of device mobility and wireless channel contention when the backoff algorithm is used to resolve contention. Modification of the t)mary exponential backoff algorithm is one possibility to allow the design of several classes of data traffic flows. We present a study of modifications to the backoff algorithm to support three classes of flows: sold, silver, and bronze. For example, the gold c]ass flows are the highest priority and should satisfy their required target bandwidth, whereas the silver class flows should receive reasonably high bandwidth compared to the bronze class flows. The mixture of the two different transport protocols, UDP and TCP, in ad hoc networks raises significant challenges when defining backoff algorithm modifications. Due to the different characteristics of UDP and TCP, different backoff algorithm modifications are applied to each class of packets from the two transport protocols. Nevertheless, we show by means of simulation that our approach of backoff algorithm modification clearly differentiates service between different flows of classes regardless of the type of transport protocol.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.1173-1174
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• 2017

본 연구에서는 온/습도 센서를 통해 화재를 조기 감지하고 TCP통신을 이용하여 사용자의 스마트폰으로 화재위험상황임을 전송한다. 이를 통한 실시간 모니터링 및 누적 데이터를 활용하여 더 큰 피해를 미리 예방할 수 있는 화재예방 시스템을 구현하였다