• Title/Summary/Keyword: data stream technology

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통합수질지수 및 오염부하자료를 이용한 공릉천 유입지천과 본류의 오염특성 분석 (Analysis of Pollution Characteristics in the Mainstream and Its Tributaries of Gongneung Stream Using Water Quality Index and Pollution Load Data)

  • 유재현;이한샘;임병란;강주형;안태웅;신현상
    • 한국물환경학회지
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    • 제36권2호
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    • pp.125-136
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    • 2020
  • In this study, we identified the major pollution-zones of the mainstream and its tributaries of Gongneung stream and investigated their pollution sources based on water quality, flowrate and pollution-load data of the stream having the characteristics of the urban-rural complex to examine the effect of the tributaries on the water quality changes in the mainstream. The water quality and flowrate data were collected for 10 months (2018 ~ 2019) at 3 points of mainstream and ten tributaries. Water quality index (WQI), load duration curve (LDC), discharge load density (DLD)and delivery ratios for each tributary were obtained so as to investigate the pollution characteristics and some of the information visualized on GIS. The main pollution-zone in the Gongneung stream was in the middle and lower streams, and the tributaries that may affect the pollution of the area were JS, JY, SL and SM. JS and SL had low WQI levels (34.7/37.5) and DLD (kg/d/㎢) of BOD and T-P were relatively high in JY (99.2/6.00) and SL (60.0/2.07). BOD and T-P delivery ratios in JS were high (0.94/0.83), suggesting that JS had significant influence on the water quality of the main pollution-zone in the Gongneung stream. Meanwhile, SM having a high T-P delivery ratio (0.97) was found to be more affected by the non-point source due to the higher LDC excess rate (%) in the low flow compared to high flow. This study provides basic data on the water quality and pollution characteristics of the Gongneung stream, and the analysis results are expected to be used as examples for identifying the main pollution-zone and tributaries of stream and their pollution sources.

TriSec: A Secure Data Framework for Wireless Sensor Networks Using Authenticated Encryption

  • Kumar, Pardeep;Cho, Sang-Il;Lee, Dea-Seok;Lee, Young-Dong;Lee, Hoon-Jae
    • Journal of information and communication convergence engineering
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    • 제8권2호
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    • pp.129-135
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    • 2010
  • Wireless sensor networks (WSNs) are an emerging technology and offers economically viable monitoring solution to many challenging applications. However, deploying new technology in hostile environment, without considering security in mind has often proved to be unreasonably unsecured. Apparently, security techniques face many critical challenges in WSNs like data security and secrecy due to its hostile deployment nature. In order to resolve security in WSNs, we propose a novel and efficient secure framework called TriSec: a secure data framework for wireless sensor networks to attain high level of security. TriSec provides data confidentiality, authentication and data integrity to sensor networks. TriSec supports node-to-node encryption using PingPong-128 stream cipher based-privacy. A new PingPong-MAC (PP-MAC) is incorporated with PingPong stream cipher to make TriSec framework more secure. PingPong-128 is fast keystream generation and it is very suitable for sensor network environment. We have implemented the proposed scheme on wireless sensor platform and our result shows their feasibility.

Sub-Stream 기반의 Eigenvoice를 이용한 고속 화자적응 (Fast Speaker Adaptation Using Sub-Stream Based Eigenvoice)

  • 송화전;이종석;김형순
    • 대한음성학회지:말소리
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    • 제55권
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    • pp.93-102
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    • 2005
  • In this paper, sub-stream based eigenvoice method is proposed to overcome the weak points of conventional eigenvoice and dimensional eigenvoice. In the proposed method, sub-streams are automatically constructed by the statistical clustering analysis that uses the correlation information between dimensions. To obtain the reliable distance matrix from covariance matrix for dividing into optimal sub-streams, MAP adaptation technique is employed to the covariance matrix of training data and the sample covariance of adaptation data. According to our experiments, the proposed method shows $41\%$ error rate reduction when the number of adaptation data is 50.

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SVM-Based Incremental Learning Algorithm for Large-Scale Data Stream in Cloud Computing

  • Wang, Ning;Yang, Yang;Feng, Liyuan;Mi, Zhenqiang;Meng, Kun;Ji, Qing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권10호
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    • pp.3378-3393
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    • 2014
  • We have witnessed the rapid development of information technology in recent years. One of the key phenomena is the fast, near-exponential increase of data. Consequently, most of the traditional data classification methods fail to meet the dynamic and real-time demands of today's data processing and analyzing needs--especially for continuous data streams. This paper proposes an improved incremental learning algorithm for a large-scale data stream, which is based on SVM (Support Vector Machine) and is named DS-IILS. The DS-IILS takes the load condition of the entire system and the node performance into consideration to improve efficiency. The threshold of the distance to the optimal separating hyperplane is given in the DS-IILS algorithm. The samples of the history sample set and the incremental sample set that are within the scope of the threshold are all reserved. These reserved samples are treated as the training sample set. To design a more accurate classifier, the effects of the data volumes of the history sample set and the incremental sample set are handled by weighted processing. Finally, the algorithm is implemented in a cloud computing system and is applied to study user behaviors. The results of the experiment are provided and compared with other incremental learning algorithms. The results show that the DS-IILS can improve training efficiency and guarantee relatively high classification accuracy at the same time, which is consistent with the theoretical analysis.

데이터 스트림 빈발항목 마이닝의 프라이버시 보호를 위한 더미 데이터 삽입 기법 (Dummy Data Insert Scheme for Privacy Preserving Frequent Itemset Mining in Data Stream)

  • 정재열;김기성;정익래
    • 정보보호학회논문지
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    • 제23권3호
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    • pp.383-393
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    • 2013
  • 데이터 스트림 마이닝 기술은 실시간으로 발생하는 데이터를 분석하여 유용한 정보를 얻는 기술이다. 데이터 스트림 마이닝 기술 중에서 빈발항목 마이닝은 전송되는 데이터들 중에서 어떤 항목이 빈발한지 찾는 기술이며, 찾은 빈발항목들은 다양한 분야에서 패턴분석이나 마케팅의 목적으로 사용된다. 기존에 제안된 데이터 스트림 빈발항목 마이닝은 악의적인 공격자가 전송되는 데이터를 스니핑할 경우 데이터 제공자의 실시간 정보가 노출되는 문제점을 가지고 있다. 이러한 문제는 전송되는 데이터에서 원본 데이터를 구별 못하게 하는 더미 데이터 삽입 기법을 통해 해결가능하다. 본 논문에서는 더미 데이터 삽입 기법을 이용한 프라이버시 보존 데이터 스트림 빈발항목 마이닝 기법을 제안한다. 또한, 제안하는 기법은 암호화 기법이나 다른 수학적 연산이 요구되지 않아 연산량 측면에서 효과적이다.

경상남도 창원천과 남천의 관속식물상과 특성 (The Characteristics and Flora of Changwon and Nam Stream Located in Gyeongsangnam-do)

  • 박경훈;유주한;윤영철
    • 한국환경복원기술학회지
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    • 제13권5호
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    • pp.12-27
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    • 2010
  • The purpose of this study is carried out to present the raw data for restoring and maintaining an urban stream by objective surveying and analysing about flora in Changwon stream and Nam stream, Changwon-si, Gyeongsangnam-do, Korea. The results are as follows. The numbers of vascular plants were summarized as 248 taxa; 71 families, 184 genera, 220 species, 26 varieties and 2 forma. The numbers of vascular plants by streams were 202 taxa in Changwon stream and 206 taxa in Nam stream. The endemic plant was Salix pseudolasiogyne. The rare plants designated by Korea Foret Service were 2 taxa; Aristolochia contorta and Koelreuteria paniculata. The specific plants by floristic region were 12 taxa; Aphananthe aspera, Artemisia selengensis, Indigofera pseudotinctoria and so forth. The naturalized plants were 37 taxa; Ailanthus altissima, Amaranthus patulus, Amorpha fruticosa and so forth. The invasive alien plants designated by Ministry of Environment were 4 taxa; Ambrosia artemisiifolia var. elatior, Aster pilosus, Rumex acetocella and Solanum carolinense. The UI (Urbanized Index) and NI (Naturalized Index) were 13.6% and 18.3% in Changwon stream and 13.6% and 17.9% in Nam stream.

다중 사용자 MIMO 시스템에서 전체 채널 용량을 최대화하기 위한 데이터 스트림 할당 기법 (Data Stream Allocation Algorithm for Maximizing Sum Capacity in Multiuser MIMO Systems)

  • 김봉석;최권휴
    • 한국위성정보통신학회논문지
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    • 제6권1호
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    • pp.19-27
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    • 2011
  • 본 논문에서는 블록 대각화 프리코딩 기법을 사용하는 다중 사용자 MIMO 하향링크 시스템에서 전체 채널 용량을 최대화하기 위한 데이터 스트림 할당 기법을 제안한다. 기존의 블록 대각화 프리코딩 기법은 모든 사용자에게 동일한 수의 데이터 스트림을 할당하고 water-filling에 의한 전력제어 만으로 전체 채널 용량을 최대화함으로써 데이터 스트림의 수의 차이에 의한 채널 용량의 이득을 스스로 제한했다. 제안하는 블록 대각화 프리코딩의 데이터 스트림 할당 기법은 시스템의 전체 채널 용량을 최대화하기 위하여 평균 채널이득, 순시 채널 이득의 크기를 비교하여 채널 이득이 좋은 사용자에게 많은 수의 데이터 스트림을 할당하고 water-filling을 통한 전력 제어를 하는 방법으로 채널 이득에 대한 채널 용량을 최대화 시킨다. 본 논문에서 제안된 데이터 스트림 할당 기법을 이용하여 시스템의 성능을 향상시킬 수 있음을 모의실험을 통해 증명했다.

제주 천미천 유역의 간헐하천 유출특성 모의 방안 (A Method of Simulating Ephemeral Stream Runoff Characteristics in Cheonmi-cheon Watershed, Jeju Island)

  • 김남원;정일문;나한나
    • 한국환경과학회지
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    • 제22권5호
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    • pp.523-531
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    • 2013
  • In this study, a method of simulating ephemeral stream runoff characteristics in Jeju watershed is newly suggested. The process based conceptual-physical scheme is established based on the SWAT-K and applied to Cheonmi-cheon watershed which shows the typical pattern of ephemeral stream runoff characteristics. For the proper simulation of this runoff, the intermediate flow and baseflow are controlled to make downward percolation should be dominant. The result showed that surface runoff simulated by using the modified scheme showed good agreement with observed runoff data. In addition, it was found that the estimated runoff directly affected the groundwater recharge rate. This conceptual model should be continuously progressed including rainfall interception, spatially estimated evapotranspiration and so forth for the reasonable simulation of the hydrologic characteristics in Jeju island.

Design and Implementation of Intelligent IP Switch with Packet FEC for Ensuring Reliability of ATSC 3.0 Broadcast Streams

  • 이송연;백종호;단현석
    • 인터넷정보학회논문지
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    • 제20권2호
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    • pp.21-27
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    • 2019
  • The terrestrial ATSC 3.0 broadcasting system, which is capable of converging broadcast and communication services, uses IP based technology for data transmission between broadcasting equipment. In addition, data transmission between broadcasting equipment uses IP-based technology like existing wired communication network, which has advantageous in terms of equipment construction and maintenance In case IP based data transmission technology is used, however, it may inevitably cause an error that a packet is lost during transmission depending on the network environments. In order to cope with a broadcasting accident caused by such a transmission error or a malfunction of a broadcasting apparatus, a broadcasting system is generally configured as a duplication, which can transmit a normal packet when various types of error may occur. By this reason, correction method of error packets and intelligent switching technology are essential. Therefore, in this paper, we propose a design and implementation of intelligent IP switch for Ensuring Reliability of ATSC 3.0 Broadcast Streams. The proposed intelligent IP consists of IP Stream Analysis Module, ALP Stream Analysis Module, STL Stream Analysis Module and SMPTE 2022-1 based FEC Encoding/Decoding Module.

효율적인 하천관리를 위한 하천생태 특성을 고려한 유형 분류 - 낙동강수계를 대상으로 - (Stream Classification Based on the Ecological Characteristics for Effective Stream Management - In the Case of Nakdong River -)

  • 이유경;이상우
    • 한국환경복원기술학회지
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    • 제15권5호
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    • pp.103-114
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    • 2012
  • The purpose of this research is classifying stream into different types depending on various factor from the perspective of stream corridor restoration and using it as basic data, which are used to consider efficient management and planning for the healthy stream according to the characteristic by types. In this study, 130 points of location of the Nakdong river basin which consist of various geographic factors have been chosen and hierarchical cluster analysis has been carried out in these points by using biological and physiochemical factors whose health can be considered to be predicted and evaluated. As a result of cluster analysis, there were three divided types. Type A whose biology and water quality are considered the best was the highest in forest area percentage so that it was classified into natural stream. Type B was classified into a rural region stream with a mixture of urban and agricultural region. Type C, with the most damaged water quality and biology health had the most urban region surface area and was named as urban region stream. Moreover, an overall restoration strategy according to characteristic by stream types was set. By the results of correlation analysis on factors, water quality showed a high correlation with biological properties and was affected by surrounding land usage. In evaluation of streams, it proves the need to consider not only other habitat's geographical and biological factors but also the water quality and land usage factors. There needs to be further research on stream ecosystem functionality factors and structural aspects by using a more objective and total evaluation result in selecting additional index and various other specific classification methods by stream types and its restoration strategies.