• Title/Summary/Keyword: multi-source data

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Implementation of Automotive Multimedia Interface Supporting Multi-Channel Display in Multi-Screen Display (다채널 다중 화면 디스플레이를 지원하는 차량용 멀티미디어 인터페이스 구현)

  • Jeon, Young-Joon;Song, Bong-Gi;Kim, Jang-Ju;Park, Jang-Sik;Yu, Yun-Sik
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.1
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    • pp.199-206
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    • 2013
  • Recently, the diverse needs of the drivers for in-vehicle infotainment systems are increasing rapidly. As a result, the infotainment systems are equipped with more convenient and human-friendly high-tech features. In this paper, we designed and implemented in-vehicle multimedia infotainment system based on embedded system that was applied various multimedia to in-vehicles. The proposed system can support independent display on each screen for the multi-channel multimedia source based on one processor(1 CPU). Therefore, our system can be reduced costs compared to other systems. This system not only displays the video and audio data in storage devices but also displays CAM, T-DMB, and DVB-T multimedia contents which are supplied in real-time services. Also, our system could multi-screen displays multimedia data in smart phone using Wi-Fi. We expect that in-vehicle infotainment systems like AVN(Audio video navigation) and RSE(Rear Seat Entertainment) could be used in various applications and reduced costs.

Improving Elasticsearch for Chinese, Japanese, and Korean Text Search through Language Detector

  • Kim, Ki-Ju;Cho, Young-Bok
    • Journal of information and communication convergence engineering
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    • v.18 no.1
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    • pp.33-38
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    • 2020
  • Elasticsearch is an open source search and analytics engine that can search petabytes of data in near real time. It is designed as a distributed system horizontally scalable and highly available. It provides RESTful APIs, thereby making it programming-language agnostic. Full text search of multilingual text requires language-specific analyzers and field mappings appropriate for indexing and searching multilingual text. Additionally, a language detector can be used in conjunction with the analyzers to improve the multilingual text search. Elasticsearch provides more than 40 language analysis plugins that can process text and extract language-specific tokens and language detector plugins that can determine the language of the given text. This study investigates three different approaches to index and search Chinese, Japanese, and Korean (CJK) text (single analyzer, multi-fields, and language detector-based), and identifies the advantages of the language detector-based approach compared to the other two.

Data Mining Approach to Predicting Serial Publication Periods and Mobile Gamification Likelihood for Webtoon Contents

  • Jang, Hyun Seok;Lee, Kun Chang
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.4
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    • pp.17-24
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    • 2018
  • This paper proposes data mining models relevant to the serial publication periods and mobile gamification likelihood of webtoon contents which were either serialized or completed in platform. The size of the cartoon industry including webtoon takes merely 1% of the total entertainment contents industry in Korea. However, the significance of webtoon business is rapidly growing because its intellectual property can be easily used as an effective OSMU (One Source Multi-Use) vehicle for multiple types of contents such as movie, drama, game, and character-related merchandising. We suggested a set of data mining classifiers that are deemed suitable to provide prediction models for serial publication periods and mobile gamification likelihood for the sake of webtoon contents. As a result, the balanced accuracies are respectively recorded as 85.0% and 59.0%, from the two models.

Discrimination between earthquake and explosion by using seismic spectral characteristics and linear discriminant analysis (지진파 스펙트럼특성과 선형판별분석을 이용한 자연지진과 인공지진 식별)

  • 제일영;전정수;이희일
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2003.09a
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    • pp.13-19
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    • 2003
  • Discriminant method using seismic signal was studied for discrimination of surface explosion. By means of the seismic spectral characteristics, multi-variate discriminant analysis was performed. Four single discriminant techniques - Pg/Lg, Lg1/Lg2, Pg1/Pg2, and Rg/Lg - based on seismic source theory were applied to explosion and earthquake training data sets. The Pg/Lg discriminant technique was most effective among the four techniques. Nevertheless, it could not perfectly discriminate the samples of the training data sets. In this study, a compound linear discriminant analysis was defined by using common characteristics of the training data sets for the single discriminants. The compound linear discriminant analysis was used for the single discriminant as an independent variable. From this analysis, all the samples of the training data sets were correctly discriminated, and the probability of misclassification was lowered to 0.7%.

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Modeling and Verification of Eco-Driving Evaluation

  • Lin Liu;Nenglong Hu;Zhihu Peng;Shuxian Zhan;Jingting Gao;Hong Wang
    • Journal of Information Processing Systems
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    • v.20 no.3
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    • pp.296-306
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    • 2024
  • Traditional ecological driving (Eco-Driving) evaluations often rely on mathematical models that predominantly offer subjective insights, which limits their application in real-world scenarios. This study develops a robust, data-driven Eco-Driving evaluation model by integrating dynamic and distributed multi-source data, including vehicle performance, road conditions, and the driving environment. The model employs a combination weighting method alongside K-means clustering to facilitate a nuanced comparative analysis of Eco-Driving behaviors across vehicles with identical energy consumption profiles. Extensive data validation confirms that the proposed model is capable of assessing Eco-Driving practices across diverse vehicles, roads, and environmental conditions, thereby ensuring more objective, comprehensive, and equitable results.

LED Communication based Multi-hop Audio Data Transmission Network System (LED 통신 기반 멀티 홉 오디오 데이터 전송네트워크시스템)

  • Jo, Seung Wan;Le, The Dung;An, Beongku
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.6
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    • pp.180-187
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    • 2013
  • In this paper, we propose a LED communication based multi-hop audio data transmission network system. The main contribution and features of the proposed system are as follows. First, the contribution of this research is to develope the LED communication based multi-hop transmission network system which can transmit audio data signal with long distance via multi-hops. Second, the developed system has the following features: In transmitter, audio data is transmitted after encoding with S/PDIF format via a general LED. The relay receives digital audio signal by using photo diode and then transmits the signal to receiver after error checking and amplifying. The receiver receives the encoded audio data via photo diode and then converts to analog audio signal by using decoding and amplifying. The performance evaluation of the proposed system is conducted in the laboratory with fluorescent light source. The results of the performance evaluation confirm that the system can provide high quality audio transmission from transmiter to receiver via multi-hop relays in a long distance while we can see there are differences in the transmitted audio quality according to the used LED colors.

A Path Analytic Exploration of Consumer Information Search in Online Clothing Purchases (온라인 의복구매를 위한 소비자 정보탐색의 경로분석적 탐구)

  • Kim, Eun-Young;Knight, Dee K.
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.12
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    • pp.1721-1732
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    • 2007
  • This study identified types of information source, and explored a path model for consumer information search by shopping attributes in the context of online decision making. Participants completed self-administered questionnaires during regularly scheduled classes. A total of 219 usable questionnaires were obtained from respondents who enroll at universities in the southwestern region of the United States. For data analysis, factor analysis and path model estimation were used. Consumer information source was classified into three types for online clothing purchases: Online source, Offline retail source, and Mass media. Consumers were more likely to rely on offline retail source for online clothing purchases, than other sources. In consumer information search by shopping attributes, online sources were more likely to be related to transaction-related attributes(e.g., incentive service), whereas offline retail source(e.g., displays in stores, manufacturer's catalogs and pamphlets) were more likely to be related to product and market related attributes(e.g., aesthetics, price) when purchasing clothing online. Also, the path model emphasizes the effect of shopping attributes on traditional retailer search behavior, leading to online purchase intention for clothing. This study supports consumer information search by attributes, and discusses a managerial implication of multi-channel retailing for apparel.

Two-dimensional Localization of Array Elements Placed on a Sea Floor Using M-sequence Signal in Multipath Ocean Environment (M-계열 송신 신호를 이용한 다중 경로 해양 환경에서의 해저면 설치 선배열 센서의 2차원 위치 추정)

  • 오택환;나정열;석동우
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.8
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    • pp.686-694
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    • 2002
  • This paper proposes an algorithm for estimating positions of array elements placed on a sea floor using acoustic signal in multipath ocean environment. The positions of array elements are estimated by using the travel times of m-sequence signal influenced by the multi-paths environment. The horizontal distance between source and receiver calculated based on the ray model. The proposed paper the algorithm is verified by both simulation data and field experiment in the Bast Sea.

An X-ray Image Panorama System Using Robust Feature Matching and Per ception-Based Image Enhancement

  • Wang, Weiwei;Gwun, Oubong
    • Journal of Korea Multimedia Society
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    • v.15 no.5
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    • pp.569-576
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    • 2012
  • This paper presents an x-ray medical image panorama system which can overcome the smallness of the images that exist on a source computer during remote medical processing. In the system, after the standard medical image format DICOM is converted to the PC standard image format, a MSR algorithm is used to enhance X-ray images of low quality. Then SURF and Multi-band blending are applied to generate a panoramic image. Also, this paper evaluates the proposed SURF based system through the average gray value error and image quality criterion with X-ray image data by comparing with a SIFT based system. The results show that the proposed system is superior to SIFT based system in image quality.

Study on the multi-channel dosimetry system with microprocessor and its application to radition therapy (마이크로 프로세서를 이용한 선량측정 장치의 제작과 그 응용에 관한 연구)

  • 강정구;이정옥;김승곤;김부길;김진기
    • Progress in Medical Physics
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    • v.3 no.1
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    • pp.19-24
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    • 1992
  • We have desingned multi channel dosimetry system with Intel single-chip microprocessor. We considered that this system is very useful for patient dose measurement, measurement of sealed source dose distribution and calibration of small field for stereotatic radiosurgery system We have designed that this system use commercially available semicondutor detector and personal computer can control this system and process data through RS-232C serial port.

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