• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2359-2364
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• 2011

E-commerce is a kind of trade type between buyers and sellers rely on computer networks. Carried out according to certain standards of various business activities. e-commerce is based on modern information technology and network technology, financial electronic collection, management, information technology, business and trade information networks into one, aimed at logistics, capital flow and information flow of harmony and unity of the new trade, trade activities of the entire process, electronic, networking and digital. E-commerce has brought to the traditional ways of trading a huge impact, led to changes in economic structures, is a business revolution in the way and is recognized internationally as the 21st century is an important driver of economic development compared to current traditional companies. In this material, we first consider the current problem, analyze particular characteristics of clothing shopping mall to increase the purchasing power of customer. For these reasons, we describe the process for building the clothing site.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.9C
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• pp.1316-1322
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• 2004

Recently, the UWB (ultra wide-band) wireless communication technology, which provides high data transmission and is capable of linearly trading between throughput and signal-to-noise ratio (SNR), has drawn much attention for short-range wireless networks. Fully exploiting its notable features and minimizing its interference to coexisting other systems require the knowledge of SNR's at receivers In this paper, we propose an algorithm for estimating the pulse energy to noise ratio Ep/No of UWB signal with utilization of outputs from a correlator at a receiver, and evaluate the performance of the proposed algorithm through computer simulation. According to simulation results, the maximum standard deviation is about 1 13 dB with a block size of 500. Except for Ep/No=O and 2 dB cases with a block size of 500, no errors greater than 3 dB were observed in all the remaining experiments. Generally speaking, it improves as the true Ep/No, increases and as the block size increases A notable feature of the proposed algorithm is that it does not reduce the effective throughput because the estimation process does not require sending additional training signal of any specific format.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.628-629
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• 2011

E-commerce is a kind of trade type between buyers and sellers rely on computer networks. Carried out according to certain standards of various business activities. e-commerce is based on modern information technology and network technology, financial electronic collection, management, information technology, business and trade information networks into one, aimed at logistics, capital flow and information flow of harmony and unity of the new trade, trade activities of the entire process, electronic, networking and digital. E-commerce has brought to the traditional ways of trading a huge impact, led to changes in economic structures, is a business revolution in the way and is recognized internationally as the 21st century is an important driver of economic development compared to current traditional companies. In this material, we first consider the current problem, analyze particular characteristics of clothing shopping mall to increase the purchasing power of customer. For these reasons, we describe the process for building the clothing site.

• Journal of Communications and Networks
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• v.8 no.1
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• pp.93-105
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• 2006

The domination of the Internet by TCP-based services has spawned many efforts to provide high network utilization with low loss and delay in a simple and scalable manner. Active queue management (AQM) algorithms attempt to achieve these goals by regulating queues at bottleneck links to provide useful feedback to TCP sources. While many AQM algorithms have been proposed, most suffer from instability, require careful configuration of nonintuitive control parameters, or are not practical because of slow response to dynamic traffic changes. In this paper, we propose a new AQM algorithm, hybrid random early detection (HRED), that combines the more effective elements of recent algorithms with a random early detection (RED) core. HRED maps instantaneous queue length to a drop probability, automatically adjusting the slope and intercept of the mapping function to account for changes in traffic load and to keep queue length within the desired operating range. We demonstrate that straightforward selection of HRED parameters results in stable operation under steady load and rapid adaptation to changes in load. Simulation and implementation tests confirm this stability, and indicate that overall performances of HRED are substantially better than those of earlier AQM algorithms. Finally, HRED control parameters provide several intuitive approaches to trading between required memory, queue stability, and response time.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.627-632
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• 2005

The online distribution systems under the wireless environment include many different factors from the conventional offline and wired networks. Furthermore, the multimedia content may be propagated more easily and illegally. The scheme to protect the rights and profits of people related to the copyrights of digital content Is needed. In this paper a framework for content distribution under the wireless environment based on MPEG-21 and UCI application process are proposed. This model can be applied to the digital rights management system and utilized to protect the rights of trading entities in online distribution of electronic commerce.

• Smart Media Journal
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• v.9 no.3
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• pp.18-24
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• 2020

Existing energy was a system produced by a specific company and sold to consumers, but it is expected that in the near future, producers will become consumers and consumers will become producers. Recently, the emergence of cloud systems, 5G network construction, and energy reuse, including solar energy, are changing the shape of the energy market. In order to share energy, there are various agent systems, energy networks, and structures that form markets. In this study, we defined the above three and proposed a strategy using the Secure Energy Model (SEM) by applying a blockchain for a safe and fair energy market. The analytical results showed that the trust between the energy producers and consumers participating in the energy trade was formed.

• International Journal of Aeronautical and Space Sciences
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• v.11 no.4
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• pp.326-337
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• 2010

This work addresses problems regarding trajectory planning for unmanned aerial vehicle sensors. Such sensors are used for taking measurements of large nonlinear systems. The sensor investigations presented here entails methods for improving estimations and predictions of large nonlinear systems. Thoroughly understanding the global system state typically requires probabilistic state estimation. Thus, in order to meet this requirement, the goal is to find trajectories such that the measurements along each trajectory minimize the expected error of the predicted state of the system. The considerable nonlinearity of the dynamics governing these systems necessitates the use of computationally costly Monte-Carlo estimation techniques, which are needed to update the state distribution over time. This computational burden renders planning to be infeasible since the search process must calculate the covariance of the posterior state estimate for each candidate path. To resolve this challenge, this work proposes to replace the computationally intensive numerical prediction process with an approximate covariance dynamics model learned using a nonlinear time-series regression. The use of autoregressive time-series featuring a regularized least squares algorithm facilitates the learning of accurate and efficient parametric models. The learned covariance dynamics are demonstrated to outperform other approximation strategies, such as linearization and partial ensemble propagation, when used for trajectory optimization, in terms of accuracy and speed, with examples of simplified weather forecasting.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.9-21
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• 2020

The aim of this paper is to predict the Borsa Istanbul (BIST) 30 index movements to determine the most accurate buy and sell decisions using the methods of Artificial Neural Networks (ANN) and Genetic Algorithm (GA). We combined these two methods to obtain a hybrid intelligence method, which we apply. In the financial markets, over 100 technical indicators can be used. However, several of them are preferred by analysts. In this study, we employed nine of these technical indicators. They are moving average convergence divergence (MACD), relative strength index (RSI), commodity channel index (CCI), momentum, directional movement index (DMI), stochastic oscillator, on-balance volume (OBV), average directional movement index (ADX), and simple moving averages (3-day moving average, 5-day moving average, 10-day moving average, 14-day moving average, 20-day moving average, 22-day moving average, 50-day moving average, 100-day moving average, 200-day moving average). In this regard, we combined these two techniques and obtained a hybrid intelligence method. By applying this hybrid model to each of these indicators, we forecast the movements of the Borsa Istanbul (BIST) 30 index. The experimental result indicates that our best proposed hybrid model has a successful forecast rate of 75%, which is higher than the single ANN or GA forecasting models.

• Human Ecology Research
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• v.55 no.4
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• pp.351-362
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• 2017

Collaborative consumption (CC) occurs in organized systems or networks in which participants conduct sharing activities in the form of renting, lending, trading, bartering, and swapping of goods, services, transportation solutions, space, or money. Information and communications technologies (ICTs) that have emerged with CC. CC is expected to alleviate social problems such as hyper-consumption, pollution, and poverty by lowering the cost of economic coordination. In this study, we investigate the influence of educational experience and expected benefits of CC participation (intended to using and providing CC) of Adolescent Consumers. The subjects for the study were 418 high school students. Data was analyzed through frequency analysis, mean, standard deviation, t-test, ANOVA, Pearson's correlation, and hierarchical multiple regression analysis using SPSS Win 21.0. The results of this study are as follows. First, the significant positive relationship found between CC participants (intent to use and provide CC), educational experience (home education, school education, and mass media) and expected benefits (social benefit, economic benefit, enjoyment, community effect, and reputation). Second, enjoyment, mass media, reputation, social benefit, home education and school education values were variables that influenced the using participation intention for CC. Third, the major variables influencing the providing participation intention CC were home education, enjoyment, gender, community effect, and mass media values.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.4
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• pp.298-302
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• 2004

An electronic commerce model is proposed which distributes digital content in mobile environment. This model resolves the problems caused by various digital content and complex distribution structure. The online distribution systems under the wireless environment include many different factors from the conventional offline and wired networks. Furthermore, the multimedia content may be propagated more easily and illegally. The scheme to protect the rights and profits of people related to the copyrights of digital content is needed. In this paper a framework for electronic commerce of content distribution under the wireless environment based on MPEG-21 is proposed. This model can be applied to the digital rights management system and utilized to protect the rights of trading entities in online distribution of electronic commerce.