• Title/Summary/Keyword: Monitoring-network

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A Study on Inductive Power Line Communication with Metal Block Channel (금속블록 채널이 있는 유도형 전력선통신에 관한 연구)

  • Sohn, Kyung-Rak;Kim, Hyun-Sik
    • Journal of IKEEE
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    • v.25 no.1
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    • pp.95-100
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    • 2021
  • If we know the location of the hull block and the welding feeder in the shipyard, we can easily obtain the location information of the worker. That data is very useful for implementing a workplace safety monitoring system. However, it is difficult to apply a fixed communication network to the workplace due to the specificity of the hull structure and welding process. In this study, inductive power line communication, which can replace dedicated communication line, was reviewed. A ferrite core was used as an inductive coupler to be installed on the power cable of the welding machine, and a nano-crystalline core was applied as a coupler to be fastened to the support rod of the metal block. In order to visualize the operating principle of the proposed couplers, 3D modeling and finite element analysis were performed with the COMSOL AC/DC module. In the communication performance test using an aluminum profile, when the communication channel was formed by the contact of the welding electrode, the bandwidth was kept above 6 Mbps.

Novel Anomaly Detection Method for Proactive Prevention from a Mobile E-finance Accident with User"s Input Pattern Analysis (모바일 디바이스에서의 전자금융사고 예방을 위한 사용자입력패턴분석 기반 이상증후 탐지 방법)

  • Seo, Ho-Jin;Kim, Huy-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.4
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    • pp.47-60
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    • 2011
  • With the increase in the use of mobile banking service, mobile banking has become an attractive target to attackers. Even though many security measures are applied to the current mobile banking service, some threats such as physical theft or penetration to a mobile device from remote side are still remained as unsolved. With aiming to fill this void, we propose a novel approach to prevent e-financial incidents by analyzing mobile device user's input patterns. This approach helps us to distinguish between original user's usage and attacker's usage through analyzing personal input patterns such as input time-interval, finger pressure level on the touch screen. Our proposed method shows high accuracy, and is effective to prevent the e-finance incidents proactively.

A Study on the Secure Plan of Security in SCADA Systems (SCADA 시스템의 안전성 확보방안에 관한 연구)

  • Kim, Young-Jin;Lee, Jung-Hyun;Lim, Jong-In
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.6
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    • pp.145-152
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    • 2009
  • SCADA(Supervisory Control And Data Acquisition) systems are widely used for control and monitoring of critical infrastructures including electricity, gas and transportation. Any compromise in the security of SCADA systems could result in massive chaos and disaster at a national level if a malicious attacker takes the control of the system. Therefore, sound countermeasures must be provided when the SCADA systems are being developed as well as when they are being operated. Unlike general information processing system, SCADA systems have different service responses, communication protocols and network architectures and therefore a different approach should be applied to each SCADA systems that takes into consideration of each system's security characteristics and architectures. In addition, legal basis should be established to ensure the nationwide management of the systems security. This paper examines the vulnerabilites of SCADA systems and proposes action plans to protect the systems against cyber attacks.

Study on Detection Technique for Coastal Debris by using Unmanned Aerial Vehicle Remote Sensing and Object Detection Algorithm based on Deep Learning (무인항공기 영상 및 딥러닝 기반 객체인식 알고리즘을 활용한 해안표착 폐기물 탐지 기법 연구)

  • Bak, Su-Ho;Kim, Na-Kyeong;Jeong, Min-Ji;Hwang, Do-Hyun;Enkhjargal, Unuzaya;Kim, Bo-Ram;Park, Mi-So;Yoon, Hong-Joo;Seo, Won-Chan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1209-1216
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    • 2020
  • In this study, we propose a method for detecting coastal surface wastes using an UAV(Unmanned Aerial Vehicle) remote sensing method and an object detection algorithm based on deep learning. An object detection algorithm based on deep neural networks was proposed to detect coastal debris in aerial images. A deep neural network model was trained with image datasets of three classes: PET, Styrofoam, and plastics. And the detection accuracy of each class was compared with Darknet-53. Through this, it was possible to monitor the wastes landing on the shore by type through unmanned aerial vehicles. In the future, if the method proposed in this study is applied, a complete enumeration of the whole beach will be possible. It is believed that it can contribute to increase the efficiency of the marine environment monitoring field.

Base Flow Estimation in Uppermost Nakdong River Watersheds Using Chemical Hydrological Curve Separation Technique (화학적 수문곡선 분리기법을 이용한 낙동강 최상류 유역 기저유출량 산정)

  • Kim, Ryoungeun;Lee, Okjeong;Choi, Jeonghyeon;Won, Jeongeun;Kim, Sangdan
    • Journal of Korean Society on Water Environment
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    • v.36 no.6
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    • pp.489-499
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    • 2020
  • Effective science-based management of the basin water resources requires an understanding of the characteristics of the streams, such as the baseflow discharge. In this study, the base flow was estimated in the two watersheds with the least artificial factors among the Nakdong River watersheds, as determined using the chemical hydrograph separation technique. The 16-year (2004-2019) discontinuous observed stream flow and electrical conductivity data in the Total Maximum Daily Load (TMDL) monitoring network were extended to continuous daily data using the TANK model and the 7-parameter log-linear model combined with the minimum variance unbiased estimator. The annual base flows at the upper Namgang Dam basin and the upper Nakdong River basin were both analyzed to be about 56% of the total annual flow. The monthly base flow ratio showed a high monthly deviation, as it was found to be higher than 0.9 in the dry season and about 0.46 in the rainy season. This is in line with the prevailing common sense notion that in winter, most of the stream flow is base flow, due to the characteristics of the dry season winter in Korea. It is expected that the chemical-based hydrological separation technique involving TANK and the 7-parameter log-linear models used in this study can help quantify the base flow required for systematic watershed water environment management.

Analysis of Groundwater quality and Contamination factors in Livestock Region, South Korea (국내 농축산단지 내 지하수 수질특성 및 오염인자 상관관계 분석)

  • Yoon, JongHyun;Park, Sunhwa;Choi, HyoJung;Kim, Deok Hyun;Kim, Moonsu;Yun, Seong-Taek;Kim, Young;Kim, Hyun-Koo
    • Journal of Soil and Groundwater Environment
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    • v.25 no.4
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    • pp.98-105
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    • 2020
  • In this study, the concentrations of some of the important ionic contaminants in groundwaters of national monitoring network in Korea were identified, and their correlation to nitrate concentration was investigated. Approximately 80% of the groundwater samples were found to be as Ca2+-(Cl-+NO3-) type groundwater with the concentration ranges [minimum to maximum values, median (mg/L)] of Ca2+[0.1~228.2, 19.7], Mg2+[0.1~53.2, 5.1], K+[0.1~50.8, 1.9], Na+[1.5~130.5, 18.1], NO3--N[0.1~73.4, 9.3], NH4+-N[0.0~53.9, 0.3], Cl-[3.1~482.6, 24.0], and SO42-[2.8~101.6, 7.0]. The prevalence of Ca2+-(Cl-+NO3-) type suggest that the composition of groundwaters were greatly influcenced by chemical fertilizers and animal manure, Correlation analyses indicated threre was positive correlation between NO3--N concentration and ionic species including Cl-, Ca2+, Mg2+, and Na+. In particular, the correlation was strongest for Cl- and NO3--N, suggesting that groundwaters largely impacted by agricultural and livestock breeding activities tend to contain high levels of Cl-.

Spectogram analysis of active power of appliances and LSTM-based Energy Disaggregation (다수 가전기기 유효전력의 스팩토그램 분석 및 LSTM기반의 전력 분해 알고리즘)

  • Kim, Imgyu;Kim, Hyuncheol;Kim, Seung Yun;Shin, Sangyong
    • Journal of the Korea Convergence Society
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    • v.12 no.2
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    • pp.21-28
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    • 2021
  • In this study, we propose a deep learning-based NILM technique using actual measured power data for 5 kinds of home appliances and verify its effectiveness. For about 3 weeks, the active power of the central power measuring device and five kinds of home appliances (refrigerator, induction, TV, washing machine, air cleaner) was individually measured. The preprocessing method of the measured data was introduced, and characteristics of each household appliance were analyzed through spectogram analysis. The characteristics of each household appliance are organized into a learning data set. All the power data measured by the central power measuring device and 5 kinds of home appliances were time-series mapping, and training was performed using a LSTM neural network, which is excellent for time series data prediction. An algorithm that can disaggregate five types of energies using only the power data of the main central power measuring device is proposed.

920 MHz Band Antenna for Marine Buoy (해양 부이용 920 MHz 대역 안테나)

  • Choi, Hyung-dong;Kim, Sung-yul;Lee, Seong-Real
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.593-600
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    • 2020
  • The equipment for marine IoT service have to overcome the effect of seawater. Furthermore, the free floating transmitter in seawater will be less affected by the seawater environment. The results of the design and fabrication of antenna, which is embedded in buoy, are shown in this research. The proposed antenna is used to supervise the states of fishing gears in monitoring system for real-name system of electric fishing gear. The selected frequency band of the proposed antenna is 920 MHz, and PCB pattern type is selected for subminiature and light weight. It is confirmed that RF characteristics is more degraded, however, the radiation is gradually upward as the contact surface of buoy with seawater is more broaden through the simulation results. That is, the RF performance of the proposed antenna is more deteriorated but beam radiation characteristics is more suited the marine IoT, the seawater effect is more increased. It is expected that the proposed antenna will contribute the implementation of IoT network based on low power wide area (LPWA) when the degradation of RF performance will be settled.

Characterization of Phenotypic Traits and Evaluation of Glucosinolate Contents in Radish Germplasms (Raphanus sativus L.)

  • Kim, Bichsaem;Hur, Onsook;Lee, Jae-Eun;Assefa, Awraris Derbie;Ko, Ho-Cheol;Chung, Yun-Jo;Rhee, Ju-hee;Hahn, Bum-Soo
    • Korean Journal of Plant Resources
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    • v.34 no.6
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    • pp.575-599
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    • 2021
  • The edible roots of radish (Raphanus sativus L.) are consumed worldwide. For characterization and evaluation of the agronomic traits and health-promoting chemicals in radish germplasms, new germplasm breeding materials need to be identified. The objectives of this study were to evaluate the phenotypic traits and glucosinolate contents of radish roots from 110 germplasms, by analyzing correlations between 10 quantitative phenotypic traits and the individual and total contents of five glucosinolates. Phenotypic characterization was performed based on descriptors from the UPOV and IBPGR, and glucosinolate contents were analyzed using liquid chromatography-tandem mass spectrometry in multiple reaction monitoring mode (MRM). Regarding the phenotypic traits, a significant correlation between leaf length and root weight was observed. Glucoraphasatin was the main glucosinolate, accounting for an average of 71% of the total glucosinolates in the germplasms; moreover, its content was significantly correlated with that of glucoerucin, its precursor. Principal component analysis indicated that the 110 germplasms could be divided into five groups based on their glucosinolate contents. High levels of free-radical scavenging activity (DPPH) were observed in red radishes. These results shed light on the beneficial traits that could be targeted by breeders, and could also promote diet diversification by demonstrating the health benefits of various germplasms.

Comparison and analysis of compression algorithms to improve transmission efficiency of manufacturing data (제조 현장 데이터 전송효율 향상을 위한 압축 알고리즘 비교 및 분석)

  • Lee, Min Jeong;Oh, Sung Bhin;Kim, Jin Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.94-103
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    • 2022
  • As a large amount of data generated by sensors or devices at the manufacturing site is transmitted to the server or client, problems arise in network processing time delay and storage resource cost increase. To solve this problem, considering the manufacturing site, where real-time responsiveness and non-disruptive processes are essential, QRC (Quotient Remainder Compression) and BL_beta compression algorithms that enable real-time and lossless compression were applied to actual manufacturing site sensor data for the first time. As a result of the experiment, BL_beta had a higher compression rate than QRC. As a result of experimenting with the same data by slightly adjusting the data size of QRC, the compression rate of the QRC algorithm with the adjusted data size was 35.48% and 20.3% higher than the existing QRC and BL_beta compression algorithms.