• Journal of information and communication convergence engineering
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• v.8 no.6
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• pp.697-701
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• 2010

The numbers of digital video cameras are fast increased. Accordingly, digital video data management is becoming more important. Efficient storing method and fast browsing method still remains to be one of significant issue. In this paper, an optimized data storing process without losing information and an organized appearance features indexing method are proposed. Also, the data removing policy could be used to reduce large amount of space and it facilitates fast sequential search. The appearance features index constructs key information of moving objects to answer queries about what people are doing, particularly when, where and who they move. The evaluation results showed better performance in the transfer time and the saving in storage space.

• ETRI Journal
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• v.45 no.6
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• pp.1035-1045
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• 2023

We propose a novel graphics processing unit (GPU) algorithm that can handle a large-scale 3D fast Fourier transform (i.e., 3D-FFT) problem whose data size is larger than the GPU's memory. A 1D FFT-based 3D-FFT computational approach is used to solve the limited device memory issue. Moreover, to reduce the communication overhead between the CPU and GPU, we propose a 3D data-transposition method that converts the target 1D vector into a contiguous memory layout and improves data transfer efficiency. The transposed data are communicated between the host and device memories efficiently through the pinned buffer and multiple streams. We apply our method to various large-scale benchmarks and compare its performance with the state-of-the-art multicore CPU FFT library (i.e., fastest Fourier transform in the West [FFTW]) and a prior GPU-based 3D-FFT algorithm. Our method achieves a higher performance (up to 2.89 times) than FFTW; it yields more performance gaps as the data size increases. The performance of the prior GPU algorithm decreases considerably in massive-scale problems, whereas our method's performance is stable.

• Journal of Korea Multimedia Society
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• v.10 no.11
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• pp.1384-1397
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• 2007

This paper proposes fast storage techniques for hybrid query of data streams. DSMS(Data Stream Management System) have been researched for processing data streams that have busting income. To process hybrid query that retrieve both current incoming data streams and past data streams data streams have to be stored into disk. But due to fast input speed of data stream and memory and disk space limitation, the main research is not about querying to stored data streams but about querying to current incoming data streams. Proposed techniques of this paper use circular buffer for maximizing memory utility and for make non blocking insertion possible. Data in a disk is compressed to maximize the number of data in the disk. Through experiences, proposed technique show that bursting insertion is stored fast.

• Fashion & Textile Research Journal
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• v.17 no.4
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• pp.550-560
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• 2015

This study investigates clothing consumption behavior of fast fashion purchasers according to environmental consciousness. Questionnaire examined 245 males and females in Busan who experienced fast fashion product purchases. Data were analyzed using factor analysis, t-test. ANOVA, Duncan Test and ${\chi}^{2}-test$. The results are as follows. First, the result showed significant differences in environmental consciousness education according to demographic characteristics. Second, the results showed significant differences in the hedonic pursuit of purchase motivation for fast fashion products according to environmental consciousness. The low environmental awareness group pursued hedonic purchases towards the purchase motivation of fast fashion products. The results showed significant differences in fast fashion disposal behavior according to environmental consciousness; however, not for the disposal motivation of fast fashion. In the disposal behavior of fast fashion, the high environmental awareness group indicated social friendly disposal and the middle environmental awareness group indicated economical disposal. The result showed significant gender differences towards clothing consumption behavior of fast fashion according to demographic characteristics. Males and females showed significant differences in all purchase motivation factor for fast fashion products. They also showed significant differences in economical disposal towards fast fashion disposal behavior.

• Journal of the Korea Computer Graphics Society
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• v.22 no.4
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• pp.21-30
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• 2016

Risk management system should be able to support a decision making within a short time to analyze stream data in real time. Many analytical systems consist of CPU computation and disk based database. However, it is more problematic when existing system analyzes stream data in real time. Stream data has various production periods from 1ms to 1 hour, 1day. One sensor generates small data but tens of thousands sensors generate huge amount of data. If hundreds of thousands sensors generate 1GB data per second, CPU based system cannot analyze the data in real time. For this reason, it requires fast processing speed and scalability for analyze stream data. In this paper, we present a fast visualization technique that consists of hybrid database and GPU computation. In order to evaluate our technique, we demonstrate a visual analytics system that analyzes pipeline leak using sensor and tweet data.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.390-397
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• 2021

As digital twin technology is applied to various industrial fields, technologies to effectively process large amounts of data are required. In this paper, we discuss a customized service method for fast search and effective delivery of large-scale data for underground facility for public utilities management. The proposed schemes are divided into two ways: a fast search data generation method and a customized information service segmentation method to efficiently search and abbreviate vast amounts of data. In the high-speed search data generation, we discuss the configuration of the synchronization process for the time series analysis of the sensors collected in the underground facility and the additional information method according to the data reduction. In the user-customized service method, we define the types of users in normal and disaster situations, and discuss how to service them accordingly. Through this study, it is expected to be able to develop a systematic data generation and service model for the management of underground utilities that can effectively search and receive large-scale data in a disaster situation.

• Journal of IKEEE
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• v.15 no.2
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• pp.113-121
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• 2011

This paper presents the design of a fast auxiliary channel bus for DisplayPort 1.2 interface. The fast auxiliary channel supports Manchester transactions at 1Mbps and fast auxiliary transactions at 780Mbps. The Manchester transaction is used for managing the main link and auxiliary channel and the fast auxiliary transaction is for data transfer via the auxiliary channel. Simplified serial bus architecture is proposed to be implemented in fast auxiliary channel. The fast auxiliary channel transmitter and receiver are implemented with 7,648 LUTs and 6,020 slice register synthesized in Xilinx Vertex4 FPGA and can be operated at 72MHz to support 720Mbps.

• Journal of Distribution Science
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• v.11 no.2
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• pp.35-44
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• 2013

Purpose - Until recently, studies on customer values for restaurants recognized two path structures; the SERVQUAL model, that is, service quality? perceived value? customer satisfaction? behavioral intention, and the customer value? customer satisfaction? behavioral intention path that categorizes customer values into functional value and hedonic value. This study, instead, classifies the consumption values of fast-food restaurants based on the consumption value system provided by Sheth, Newman and Gross (1991) and illustrates the new path structure, consumption value? customer satisfaction? behavioral intention, targeting college students for a generalization of the consumption value system of fast-food restaurants. Research design, data, and methodology - This study establishes five hypotheses based on the relationship between each type of consumption value (functional, emotional, social, and epistemic) and customer satisfaction, and the relationship between customer satisfaction and behavioral intention. For this analysis, data was collected by conducting a pre-test and administering a survey to 213 college students who are regular customers at fast-food restaurants in Seoul, Korea. The data collected was then analyzed using SPSS 15.0 and AMOS 6.0 statistical packages. Results - The study showed that: First, the consumption values of fast-food restaurants are classified into the following four categories: functional value, emotional value, social value, and epistemic value while consumption value can be applied to customer value of fast-food restaurants. Second, the functional and epistemic values had a positive impact on customer satisfaction. The resulting satisfaction is attributed to the intrinsic characteristics of fast-food restaurants like the consistent quality of food, reasonable prices, fast service, and unique or new experiences on every visit. On the other hand, emotional and social values did not affect customer satisfaction. The results on emotional value differed from the general studies on restaurants while the results obtained for social value were not consistent with the studies on high-end restaurants. Third, customer satisfaction had a positive impact on behavioral intention. The survey showed that college students reflected behavioral intention - repurchase intention and word-of-mouth - if they were satisfied with the food quality and employee services provided. Simultaneously, it was seen that the impact of functional value on customer satisfaction of fast food restaurant goers was more than that of epistemic value. Conclusions - The consumption values of fast-food restaurant users could be classified into four categories, functional, emotional, social and epistemic values, based on the consumption value system provided by Sheth, Newman and Gross (1991). It proved that the customer values of restaurant goers can be extended to the path structure of consumption value? customer satisfaction? behavioral intention to confirm its generalization. The study also showed that marketing managers need to focus more on the factors that influence functional value as the fast-food restaurant users consider timely services with the consistent quality of food at a reasonable price and at a convenient place more important than the new experiences or uniqueness.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.10C
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• pp.980-986
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• 2002

In the fast data communication system, synchronized by a clock source, the loss of data will often occur due to several reasons as a differential routing path between data and clock, a differential propagation delay of components or an unstable phase of clock and data by external noise. In this paper, we describe the ASIC implementation of the data compensation circuit which can detect the data loss from above problems and recovery to original data with stable synchronization. Especially it supports a strong stability and a good BER in the communication system for fast data transfer as optic area. This circuit is implemented by Verilog HDL and available to the digital ASIC implementations related to fast data transfer.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.5
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• pp.74-82
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• 2011

SSD has a limitation of number of erase/write cycles and does not allow in-place update unlike the hard disk because SSD is composed of an array of NAND flash memory. Thus, FTL is used to effectively manage SSD of having different characteristics from traditional disk. FTL has page, block, log-block mapping method. Among then, when log-block mapping method such as BAST and FAST is used, the performance of SSD is degraded because frequent merge operations cause lots of pages to be copied and deleted. This paper proposes a data allocation and replacement method based on access frequency by allocating PRAM as checking area of access frequency, log blocks, storing region of hot data in SSD. The proposed method can enhance the performance and lifetime of SSD by storing cold data to flash memory and storing log blocks and frequently accessed data to PRAM and then reducing merge and erase operations. Besides, a data replacement method is used to increase utilization of PRAM which has limitation of capacity. The experimental results show that the ratio of erase operations of the proposed method is 46%, 38% smaller than those of BAST and FAST and the write performance of the proposed method is 34%, 19% higher than those of BAST and FAST, and the read performance of the proposed method is 5%, 3% higher than those of BAST and FAST, respectively.