• Title/Summary/Keyword: Mixed-Data

Search Result 3,000, Processing Time 0.033 seconds

A Study on Designing of LYNX Datalink (해상작전헬기용 데이터링크 설계 연구)

  • Lee, Young-Joong;Park, Joo-Rae;Lyu, Si-Chan
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.9 no.4
    • /
    • pp.39-49
    • /
    • 2006
  • LYNX ESM has not only ESM function but Datalink function. The LYNX boarded equipment Interface and Channel coding is needed for LYNX Datalink to support the mother ship with tactical data included threat radar analysis data of LYNX ESM, navigation data, Radar and Sonar of LYNX. The interface of loaded equipments are various protocol like as ARINC419/429, RS232, Synchro, Sync Serial. The Channel coding of Convolution-Scrambler-Interleaver-Bit Stuffing is applied for recovering the transmission data mixed with propagation errors in sea environment.

Performance Analysis of Reverse Traffic Channels for Mixed Voice and Data Services Using Computer Simulation in CDMA Cellular Systems (CDMA 이동 통신 시스템에서 음성과 데이터의 동시 서비스를 위한 역방향 트래픽 채널 할당 방법과 컴퓨터 시뮬레이션을 이용한 용량 분석)

  • 최우용
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.25 no.5A
    • /
    • pp.651-659
    • /
    • 2000
  • In this paper, a computer simulation approach is proposed to analyze the performance of reverse traffic channels in a base station serving voice and data calls in CDMA cellular systems. It is assumed that multiple traffic channels simultaneously serve a data call and a voice call is served by one traffic channel in a base station. The numerical examples will be presented to derive the capacity of traffic channels from the parameters such as the arrival rates and mean durations of voice and data calls, the soft handoff area ratio, etc..

  • PDF

Membership Function-based Classification Algorithms for Stability improvements of BCI Systems

  • Yeom, Hong-Gi;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • v.10 no.1
    • /
    • pp.59-64
    • /
    • 2010
  • To improve system performance, we apply the concept of membership function to Variance Considered Machines (VCMs) which is a modified algorithm of Support Vector Machines (SVMs) proposed in our previous studies. Many classification algorithms separate nonlinear data well. However, existing algorithms have ignored the fact that probabilities of error are very high in the data-mixed area. Therefore, we make our algorithm ignore data which has high error probabilities and consider data importantly which has low error probabilities to generate system output according to the probabilities of error. To get membership function, we calculate sigmoid function from the dataset by considering means and variances. After computation, this membership function is applied to the VCMs.

Real-Time Transmission Method of wireless Control Network Using Zigbee Networks (지그비 망 기반의 무선 제어망 설계를 위한 실시간 전송 기법에 대한 연구)

  • Lee, Jung-Il;Jung, Ji-Won;Kim, Dong-Sung
    • Proceedings of the IEEK Conference
    • /
    • 2007.07a
    • /
    • pp.39-40
    • /
    • 2007
  • In this Paper a transmission algorithm based on Zigbee Networks is proposed. The superframe of IEEE 802. 15.4 is applied to the transmission method of real-time mixed data (periodic data, sporadic data, and non real-time message). The simulation results show the real-time performance of sporadic data is improved by using the proposed transmission algorithm.

  • PDF

Analysis of Odor Data Based on Mixed Neural Network of CNNs and LSTM Hybrid Model

  • Sang-Bum Kim;Sang-Hyun Lee
    • International Journal of Advanced Culture Technology
    • /
    • v.11 no.4
    • /
    • pp.464-469
    • /
    • 2023
  • As modern society develops, the number of diseases caused by bad smells is increasing. As it can harm people's health, it is important to predict in advance the extent to which bad smells may occur, inform the public about this, and take preventive measures. In this paper, we propose a hybrid neural network structure of CNN and LSTM that can be used to detect or predict the occurrence of odors, which are most required in manufacturing or real life, using odor complex sensors. In addition, the proposed learning model uses a complex odor sensor to receive four types of data, including hydrogen sulfide, ammonia, benzene, and toluene, in real time, and applies this data to the inference model to detect and predict the odor state. The proposed model evaluated the prediction accuracy of the training model through performance indicators based on accuracy, and the evaluation results showed an average performance of more than 94%.

An Empirical Comparison and Verification Study on the Containerports Clustering Measurement Using K-Means and Hierarchical Clustering(Average Linkage Method Using Cross-Efficiency Metrics, and Ward Method) and Mixed Models (K-Means 군집모형과 계층적 군집(교차효율성 메트릭스에 의한 평균연결법, Ward법)모형 및 혼합모형을 이용한 컨테이너항만의 클러스터링 측정에 대한 실증적 비교 및 검증에 관한 연구)

  • Park, Ro-Kyung
    • Journal of Korea Port Economic Association
    • /
    • v.34 no.3
    • /
    • pp.17-52
    • /
    • 2018
  • The purpose of this paper is to measure the clustering change and analyze empirical results. Additionally, by using k-means, hierarchical, and mixed models on Asian container ports over the period 2006-2015, the study aims to form a cluster comprising Busan, Incheon, and Gwangyang ports. The models consider the number of cranes, depth, birth length, and total area as inputs and container twenty-foot equivalent units(TEU) as output. Following are the main empirical results. First, ranking order according to the increasing ratio during the 10 years analysis shows that the value for average linkage(AL), mixed ward, rule of thumb(RT)& elbow, ward, and mixed AL are 42.04% up, 35.01% up, 30.47%up, and 23.65% up, respectively. Second, according to the RT and elbow models, the three Korean ports can be clustered with Asian ports in the following manner: Busan Port(Hong Kong, Guangzhou, Qingdao, and Singapore), Incheon Port(Tokyo, Nagoya, Osaka, Manila, and Bangkok), and Gwangyang Port(Gungzhou, Ningbo, Qingdao, and Kasiung). Third, optimal clustering numbers are as follows: AL(6), Mixed Ward(5), RT&elbow(4), Ward(5), and Mixed AL(6). Fourth, empirical clustering results match with those of questionnaire-Busan Port(80%), Incheon Port(17%), and Gwangyang Port(50%). The policy implication is that related parties of Korean seaports should introduce port improvement plans like the benchmarking of clustered seaports.

Development of a Period Analysis Algorithm for Detecting Variable Stars in Time-Series Observational Data

  • Kim, Dong-Heun;Kim, Yonggi;Yoon, Joh-Na;Im, Hong-Seo
    • Journal of Astronomy and Space Sciences
    • /
    • v.36 no.4
    • /
    • pp.283-292
    • /
    • 2019
  • The purpose of this study was to develop a period analysis algorithm for detecting new variable stars in the time-series data observed by charge coupled device (CCD). We used the data from a variable star monitoring program of the CBNUO. The R filter data of some magnetic cataclysmic variables observed for more than 20 days were chosen to achieve good statistical results. World Coordinate System (WCS) Tools was used to correct the rotation of the observed images and assign the same IDs to the stars included in the analyzed areas. The developed algorithm was applied to the data of DO Dra, TT Ari, RXSJ1803, and MU Cam. In these fields, we found 13 variable stars, five of which were new variable stars not previously reported. Our period analysis algorithm were tested in the case of observation data mixed with various fields of view because the observations were carried with 2K CCD as well as 4K CCD at the CBNUO. Our results show that variable stars can be detected using our algorithm even with observational data for which the field of view has changed. Our algorithm is useful to detect new variable stars and analyze them based on existing time-series data. The developed algorithm can play an important role as a recycling technique for used data

The Utilization of Google Earth Images as Reference Data for The Multitemporal Land Cover Classification with MODIS Data of North Korea

  • Cha, Su-Young;Park, Chong-Hwa
    • Korean Journal of Remote Sensing
    • /
    • v.23 no.5
    • /
    • pp.483-491
    • /
    • 2007
  • One of the major obstacles to classify and validate Land Cover maps is the high cost of acquiring reference data. In case of inaccessible areas such as North Korea, the high resolution satellite imagery may be used for reference data. The objective of this paper is to investigate the possibility of utilizing QuickBird high resolution imagery of North Korea that can be obtained from Google Earth data via internet for reference data of land cover classification. Monthly MODIS NDVI data of nine months from the summer of 2004 were classified into L=54 cluster using ISODATA algorithm, and these L clusters were assigned to 7 classes - coniferous forest, deciduous forest, mixed forest, paddy field, dry field, water, and built-up areas - by careful use of reference data obtained through visual interpretation of the high resolution imagery. The overall accuracy and Kappa index were 85.98% and 0.82, respectively, which represents about 10% point increase of classification accuracy than our previous study based on GCP point data around North Korea. Thus we can conclude that Google Earth may be used to substitute the traditional reference data collection on the site where the accessibility is severely limited.

Characteristics of Invasive Alien Plant by Land-Use Type Focused on Goyang Siksa district (고양식사지구 토지이용유형별 침입외래식물의 특성 연구)

  • Cha, Doo-Won;Choi, Jun-Young;Oh, Choong-Hyeon
    • Journal of the Korean Society of Environmental Restoration Technology
    • /
    • v.23 no.3
    • /
    • pp.1-22
    • /
    • 2020
  • This study was conducted as a basic data for preparing future management alternatives by analyzing the status and characteristics of invasive alien plants by land-use type based on the formation of a new town in Goyang Siksa district. As a result, the invasive alien plants in the Goyang Siksa district were 20 families 46 genera 57 taxa; according to the land-use type, the residential area(Wi City apartment complex) is 7 families 10 genera 12 taxa, the public facilities area(Dongguk University campus) is 17 families 40 genera 47 taxa, the mixed forest is 5 families 10 genera 10 taxa, the rice paddy is 5 families 6 genera 7 taxa, river(Mt. Gyeondal creek) is 7 families 13 genera 15 taxa were appeared. The life-form of invasive alien plants in Goyang Siksa district is annuals, the origin is America, the introduction time is third period(1962~the present), and the diffusion grade is wide spread(5 grade) species. It was higher than other types. The naturalization index by location was 31.9% in river(Mt. Gyeondal creek), 21.2% in rice paddy, 16.7% in mixed forest, 15.5% in public facilities area(Dongguk University campus), and 8.5% in residential area(Wi City apartment complex). As a result of comparing the naturalization index by regions with the previous studies, it is judged that there are differences due to the environment such as urbanization progress, size, area, population inflow and location conditions. Although many new towns have been established to date, there is a lack of research on flora (including invasive alien plants) as a basic data for preparing management alternatives. Therefore, Through this study, basic data on the management of exotic plants by land use unit in urban areas can be provided.

Development of the CAP Water Quality Model and Its Application to the Geum River, Korea

  • Seo, Dong-Il;Lee, Eun-Hyoung;Reckhow, Kenneth
    • Environmental Engineering Research
    • /
    • v.16 no.3
    • /
    • pp.121-129
    • /
    • 2011
  • The completely mixed flow and plug flow (CAP) water quality model was developed for streams with discontinuous flows, a condition that often occurs in low base flow streams with in-stream hydraulic structures, especially during dry seasons. To consider the distinct physical properties of each reach effectively, the CAP model stream network can include both plug flow (PF) segments and completely mixed flow (CMF) segments. Many existing water quality models are capable of simulating various constituents and their interactions in surface water bodies. More complicated models do not necessarily produce more accurate results because of problems in data availability and uncertainties. Due to the complicated and even random nature of environmental forcing functions, it is not possible to construct an ideal model for every situation. Therefore, at present, many governmental level water quality standards and decisions are still based on lumped constituents, such as the carbonaceous biochemical oxygen demand (CBOD), the total nitrogen (TN) or the total phosphorus (TP). In these cases, a model dedicated to predicting the target concentration based on available data may provide as equally accurate results as a general purpose model. The CAP model assumes that its water quality constituents are independent of each other and thus can be applied for any constituent in waters that follow first order reaction kinetics. The CAP model was applied to the Geum River in Korea and tested for CBOD, TN, and TP concentrations. A trial and error method was used for parameter calibration using the field data. The results agreed well with QUAL2EU model predictions.