• Title/Summary/Keyword: Price Processing

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Study On Development of Fast Image Detector System (고속 영상 검지기 시스템 개발에 관한 연구)

  • 임태현;이종민;김용득
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.241-244
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    • 2003
  • Nowadays image processing is very useful for some field of traffic applications. The one reason is we can construct the system in a low price, the other is the improvement of hardware processing power, it can be more fast to processing the data. In this study, I propose the traffic monitoring system that implement on the embedded system environment. The whole system consists of two main part, one is host controller board, the other is image processing board. The part of host controller board take charge of control the total system, interface of external environment. and OSD(On screen display). The part of image processing board takes charge of image input and output using video encoder and decoder, image classification and memory control of using FPGA, control of mouse signal. And finally, fer stable operation of host controller board, uC/OS-II operating system is ported on the board.

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Prediction of Cryptocurrency Price Trend Using Gradient Boosting (그래디언트 부스팅을 활용한 암호화폐 가격동향 예측)

  • Heo, Joo-Seong;Kwon, Do-Hyung;Kim, Ju-Bong;Han, Youn-Hee;An, Chae-Hun
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.10
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    • pp.387-396
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    • 2018
  • Stock price prediction has been a difficult problem to solve. There have been many studies to predict stock price scientifically, but it is still impossible to predict the exact price. Recently, a variety of types of cryptocurrency has been developed, beginning with Bitcoin, which is technically implemented as the concept of distributed ledger. Various approaches have been attempted to predict the price of cryptocurrency. Especially, it is various from attempts to stock prediction techniques in traditional stock market, to attempts to apply deep learning and reinforcement learning. Since the market for cryptocurrency has many new features that are not present in the existing traditional stock market, there is a growing demand for new analytical techniques suitable for the cryptocurrency market. In this study, we first collect and process seven cryptocurrency price data through Bithumb's API. Then, we use the gradient boosting model, which is a data-driven learning based machine learning model, and let the model learn the price data change of cryptocurrency. We also find the most optimal model parameters in the verification step, and finally evaluate the prediction performance of the cryptocurrency price trends.

The Effects of Price Salience on Consumer Perception and Purchase Intentions (개격현저대소비자감지화구매의도적영향(价格显著对消费者感知和购买意图的影响))

  • Martin-Consuegea, David;Millan, Angel;Diaz, Estrella;Ko, Eun-Ju
    • Journal of Global Scholars of Marketing Science
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    • v.20 no.2
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    • pp.149-163
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    • 2010
  • Previous studies have shown that retail price promotion change consumers' purchase behavior and that retailers use price promotion more frequently. Keeping constant the benefits received by consumers, there are several ways for retailers to communicate a price promotion. For example, retailers can present a price reduction in absolute terms ($, ${\euro}$), percentage terms (%), or some combinations of these two methods (Della Bitta et al. 1981). Communicating a price promotion in different ways is similar to the framing of purchase decisions (Monroe 1990). Framing effects refers to the finding that subjects respond differently to different descriptions of the same decision question (Frisch 1993). Thus, the presentation of the promotion has an impact on consumer deal evaluation and hence retail sales. In fact, much research in marketing attests to the effects of price presentation on deal perception (Lichtenstein and Bearden 1989; Urbany et al. 1988; Yadav and Monroe 1993). In this sense, a number of marketing researches have argued that deal perceptions are also determined by the degree to which consumers are able to calculate the discounts and final purchase prices accurately (Estelami 2003a; Morwitz et al. 1998), which suggests that marketers may be able to enhance responses to discounts by improving calculation accuracy. Consequently, since calculation inaccuracies in the aggregate lead to the underestimation of discounts (Kim and Kramer 2006), consumers are more likely to appreciate a discounted offer following deeper processing of price information that enables them to evaluate a price discount more accurately. The purpose of this research is to examine the effect of different presentations of discount prices on consumer price perceptions. To be more precise, the purpose of this study is to investigate how different implementations of the same price promotion (semantic and visual salience) affect consumers' perceptions of the promotion and their purchase decisions. Specifically, the analysis will focus on the effect of price presentation on evaluation, purchase intentions and perception of savings. In order to verify the hypotheses proposed in the research, this paper will present an experimental analysis dealing with several discount presentations. In this sense, a2 (Numerical salience presentation: absolute and relative) x2 (Worded salience presentation: novel and traditional) x2 (Visual salience: red and blue) design was employed to investigate the effects of discount presentation on three dependent variables: evaluation, purchase intentions and perception of savings. Respondents were exposed to a hypothetical advertisement that they had to evaluate and were informed of the offer conditions. Once the sample finished evaluating the advertisement, they answered a questionnaire related to price salience and dependent dimensions. Then, manipulation checks were conducted to ensure that respondents remembered their treatment conditions. Next, a $2{\times}2{\times}2$ MANOVA and follow-up univariate tests were conducted to verify the research hypotheses suggested and to examine the effects of the individual factors (price salience) on evaluation, purchase intentions and perceived savings. The results of this research show that semantic and visual salience presentations have significant main effects and interactions on evaluation, purchase intentions and perception of savings. Significant numerical salience interactions affected evaluation and purchase intentions. Additionally, a significant worded salience main effect on perception of savings and interactions on evaluation and purchase intentions were found. Finally, visual salience interactions have significant effects on evaluation. The main findings of this research suggest practical implications that firms should consider when planning promotion-based discounts to attract consumer attention. Consequently, because price presentation has important effects on consumer perception, retailers should consider which effect is wanted in order to design an effective discount presentaion. Specifically, retailers should present discounts with a traditional style that facilitates final price calculation. It is thus important to investigate ways in which marketers can enhance the accuracy of consumers' mental arithmetic to improve responses to price discounts. This preliminary study on the effect of price presentation on consumer perception and purchase intentions opens the line of research for further research. The results obtained in this research may have been determined by a number of limiting conceptual and methodological factors. In this sense, the research deals with a variety of discount presentations as well as with their effects; however, the analysis could include additional salience dimensions and effects on consumers. Furthermore, a similar study could be carried out including a larger, more inclusive and heterogeneous sample of consumers. In addition, the experiment did not require sample individuals to actually buy the product, so it is advisable to compare the effects obtained in the research with real consumer behavior and perception.

Deep Learning-Based Stock Fluctuation Prediction According to Overseas Indices and Trading Trend by Investors (해외지수와 투자자별 매매 동향에 따른 딥러닝 기반 주가 등락 예측)

  • Kim, Tae Seung;Lee, Soowon
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.9
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    • pp.367-374
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    • 2021
  • Stock price prediction is a subject of research in various fields such as economy, statistics, computer engineering, etc. In recent years, researches on predicting the movement of stock prices by learning artificial intelligence models from various indicators such as basic indicators and technical indicators have become active. This study proposes a deep learning model that predicts the ups and downs of KOSPI from overseas indices such as S&P500, past KOSPI indices, and trading trends by KOSPI investors. The proposed model extracts a latent variable using a stacked auto-encoder to predict stock price fluctuations, and predicts the fluctuation of the closing price compared to the market price of the day by learning an LSTM suitable for learning time series data from the extracted latent variable to decide to buy or sell based on the value. As a result of comparing the returns and prediction accuracy of the proposed model and the comparative models, the proposed model showed better performance than the comparative models.

A Technical and Economic Evaluation of Cobalt-rich Manganese Crusts (심해저 망간각 개발의 경제성 평가)

  • Park, Se-Hun;Yang, Hee-Cheol
    • Ocean and Polar Research
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    • v.31 no.2
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    • pp.167-176
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    • 2009
  • Cobalt-rich manganese crusts on seamounts have received an increasing amount of attention as future resources for Co, Ni, Cu, and Mn. A dearth of detailed information regarding the relevant distribution characteristics, mining technologies, and ore processing technologies, however, has precluded potential evaluations of the technical and economic advantages of these crusts. In the past 4 years, Korea has undertaken a survey of the cobalt-rich manganese crusts in and around the Magellan Seamount and Mid-Pacific Mountains. This paper introduces the preliminary feasibility study of the distribution features and R&D results centered around the development of the cobalt-rich manganese crusts. The evaluation model was developed by modifying the model for the manganese nodules. In addition to considering the geological and geophysical differences between the manganese nodules and the cobalt-rich manganese crusts, an ore dressing subsystem was installed in the model. The mining subsystem is composed of a self-propelled collector--a pipeline with submersible hydraulic pumps for crust lifting. The smelting and chlorine leach method was selected for metallurgical processing. The production scales were established at 2,500t/y of cobalt metal. The production of three metals--cobalt, nickel, and copper--was considered in terms of metallurgical processing. The economic feasibility analyses demonstrated that the payback period was 11.4 years, the NPV was 36M$, and the IRR was 9.6% with the economic factors in the case of a cobalt price of US$ 25/lb. It was also demonstrated in this study that the payback period was 8.6 years, the NPV was 154M$, and the IRR was 14.0% in the case of a cobalt price of US$ 30/lb. This indicates that the approach under consideration appears to offer greater potential given the predicted metal prices.

Survey of Young Consumers to Develop Fish & Seaweed Spread for Healthy Diet using High Pressure Processing (초고압가공기술을 이용한 건강지향형 수산물 스프레드 제품 개발을 위한 10대와 20대의 인식 조사)

  • Shin, Ji-Young;Kim, Yoo Kyeong
    • Journal of the East Asian Society of Dietary Life
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    • v.25 no.4
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    • pp.607-615
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    • 2015
  • Our final goal was to manufacture low-calorie healthy seafood spreads using high pressure processing. Prior to developing the spread products, we performed a nationwide survey of consumers aged in their teens and twenties (n=585). The questionnaire was designed to gain insights from consumers on spread products, including Importance-Performance Analysis (IPA), recipes, market prospects, etc. Consumers responded that 'price, calorie, fat content, sanitary, nutrition, and food additive' should be improved, in that order. They also thought that fruits and vegetables are highly acceptable in recipes of seafood spreads. In addition, consumers pointed that we should concentrate on 'taste, sanitary, flavor, nutrition, and price' to make spreads more successful. Regarding market prospects, consumers rated spreads with scores over 2.96/5.00, which means the market for seafood spreads is sufficient. The consumers' response provided guidelines for developing and manufacturing low-calorie healthy seafood spreads.

A Control of Mobile Inverted Pendulum using Single Accelerometer (단일 가속도 센서에 의한 모바일 역진자 제어)

  • Ha, Hyun-Uk;Lee, Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.5
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    • pp.440-445
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    • 2010
  • This paper proposes a single accelerometer sensor control algorithm to mobile inverted pendulum, generally called 'Segway', and evaluates the performance of this system comparing to the conventional ones. The commercialized 'Prototype Segway-PT' is initially considered as a next-generation transport vehicle. However, this robot is operated by three gyroscopes and two accelerometers to control the posture and speed, and it requires the complex signal processing for fusing the two sets of data. As the result of this, the growth rate of market size of 'Segway' is slow because of its high price mainly. In this paper, the mobile inverted pendulum is operated by a single accelerometer to simplify the control system to lower the price. Low pass filter is one of the good sensors to reducing the variation of an accelerometer, but it has time delay. This time delay disturbs real-time mobile inverted pendulum control. Like this, other various algorithms are used for this system, but each one has its own weak point. So this paper proposes a new filtering method, median filter and EKF. Median filter is used to image processing to reject impulse elements like salt and pepper noise. As the major performance evaluation parameter for the accelerometer, the high-frequency to low frequency ratio from FFT (Fast Fourier Transform) is used. Effectiveness of the proposed algorithms has been verified through the real experiments and the results are demonstrated.

Integrated Retrieval System for Mart Products Price in Distributed DB Environments. (분산 데이터베이스 환경에서의 MPP 통합검색시스템 설계 및 구현)

  • Lee, Chang-Keun;Jung, Bok-Hee;Kim, Soon-Gohn
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.1278-1280
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    • 2011
  • 인터넷 쇼핑몰을 통하여 사용자들은 다양한 상품의 구입과 유통정보시스템의 구축으로 복합적이고, 차별화된 전략을 통해 소비패턴의 큰 변화를 가져왔다. 이러한 추세는 대형마트를 중심으로 확산되었고, 대형마트를 선호하고 구매력을 향상시키는 요인이 되었으며, 경제성장과 소득수준의 향상으로 사용자들의 욕구 또한 고급화되고 다양화되는데 큰 영향을 끼치고 있다. 이로 인하여 인터넷에서 처리되는 정보의 종류가 점차 확대되고 다양화되면서 정보를 처리하기 위한 구현기법도 복잡해지고 있으며, 웹사이트들은 단순히 정보제공 차원을 넘어서고 있다. 이에 따라 사용자들은 동적인 정보제공, 보안기능, 통계처리들의 기능도 요구하고 있다. 이러한 요구를 수용하기 위해서는 웹 자원을 효율적으로 관리하기 위한 시스템이 필요하다. 이러한 이유로 현재 대형마트별로 홈페이지가 구축되어 있어 사용자들이 원하는 생필품을 검색할 수 있으나, 어느 특정지역을 대상으로 통합하여 검색할 수 있는 시스템은 없는 상황이다. 본 논문에서는 D 지역의 대형마트를 선정하여 사용자들이 주로 이용하는 생필품들의 가격을 조사하여 상품에 대한 가격을 웹상에서 보다 쉽게 비교하여 검색할 수 있도록 MPP(Mart Products Price) 통합 검색 시스템을 구현하였다.

The Design and Implementation of Frequency Domain Sampling Surface Acoustic Wave Sensor Platform (Frequency Domain Sampling 방식의 Surface Acoustic Wave Sensor Platform 설계 및 구현)

  • Joh, Yool-Hee;Kim, Young-Kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.220-223
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    • 2012
  • Generally, SAW device, which uses Time Domain Sampling, requires high speed AD converter because SAW device (TDS) needs high sampling speed as much as its high data speed. However, the high price of AD converter discourages makers from using it. On the other hand, SAW device, which uses Frequency Domain Sampling, does not required high speed AD converter because SAW device (FDS) does not need high sampling speed. It is very efficient in price comparison to its performance because high processing speed of SAW device (FDS) can be implemented using low price Embedded Systems. The purpose of the thesis is to solve the issues above by designing and realizing SAW device (FDS) using SAW sensor for TDS.

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The Design and Implementation of Frequency Domain Sampling Surface Acoustic Wave Sensor Platform using Cortex-A8 (Cortex-A8을 이용한 Frequency Domain Sampling 방식의 Surface Acoustic Wave Sensor Platform 설계 및 구현)

  • Joh, Yool-hee;Kim, Young-kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.312-315
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    • 2012
  • Generally, SAW device, which uses Time Domain Sampling, requires high speed AD converter because SAW device (TDS) needs high sampling speed as much as its high data speed. However, the high price of AD converter discourages makers from using it. On the other hand, SAW device, which uses Frequency Domain Sampling, does not required high speed AD converter because SAW device (FDS) does not need high sampling speed. It is very efficient in price comparison to its performance because high processing speed of SAW device (FDS) can be implemented using low price Embedded Systems. The purpose of the thesis is to solve the issues above by designing and realizing SAW device (FDS) using SAW sensor for TDS.

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