• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2748-2760
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• 2018

This paper proposes an audio event classification method based on convolutional neural networks (CNNs). CNN has great advantages of distinguishing complex shapes of image. Proposed system uses the features of audio sound as an input image of CNN. Mel scale filter bank features are extracted from each frame, then the features are concatenated over 40 consecutive frames and as a result, the concatenated frames are regarded as an input image. The output layer of CNN generates probabilities of audio event (e.g. dogs bark, siren, forest). The event probabilities for all images in an audio segment are accumulated, then the audio event having the highest accumulated probability is determined to be the classification result. This proposed method classified thirty audio events with the accuracy of 81.5% for the UrbanSound8K, BBC Sound FX, DCASE2016, and FREESOUND dataset.

• Journal of Digital Contents Society
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• v.4 no.1
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• pp.1-10
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• 2003

This research focuses on the system design of a service method for a customized electronic card on the internet. It develops the system which covers from the input stage of the credit information including a credit card number, a debit card number, and a bank account number, through the process of decision for issuing the customized electronic card and for the payment of business transaction, to the payment stage. Users are allowed to make their own customized card depending on their situations by choosing a limit of balance, a number of usage, expiration date, recharge, and, anonymity of electronic card on the internet. These characteristics enhances convenience and security of card users. In addition, user's financial damage can be minimized when a credit card is lost by any reason.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.31-34
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• 2005

최근 국, 내외에서 생물정보학 데이터베이스 구축이 활발히 진행되어 왔고, 각 바이오 정보 시스템의 데이터 통합 연구가 진행 중이다. 대표적인 바이오 데이터베이스 시스템인 GenBank, DDBJ, EBML 등은 같은 의미의 데이터라 하더라도 각 시스템의 내부 데이터 구조 및 데이터 표현 형식이 상이하여 통합에 어려움이 따른다. 이를 해결하기 위해 통합 데이터 형식을 지원하는 웹 서비스 기반 데이터 통합 방식이 제안되고 있다. 현재 국내 웹 서비스 기반의 바이오 정보 제공 사이트들은 SOAP을 이용한 단순 메시지 전달 기법으로 초보적인 단계라 할 수 있다. 본 논문에서는 SOAP을 이용한 단순한 메시지 전달 기법만이 아닌 레지스트리 서버 검색을 통해 서비스 제공자를 찾고, WSDL문서를 분석한 후 사용자에게 검색 메소드를 제공함으로써 빠르고 정확한 서비스를 제공하여 기존에 구축된 시스템의 단점을 보완한다. 또한 상이한 스키마로 이루어진 데이터들을 효과적으로 통합하기 위해 온톨로지를 이용한 웹 서비스 기반 바이오 정보 시스템을 제안하고 구현한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.189-195
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• 2021

This paper discusses choice of loans problem(CLP) that is to minimize annual payment from which bank's borrows in multi-banks multi-nations with distinct interests. For the CLP, there is impossible to obtain the optimal solution actually without the help of mathematical software package as linear programming(LP). This paper applies the method used in transportation problem(TP) that finds initial feasible solution with selects minimum interest first, least cost method(LCM), to CLP. Result of experiment, the proposed algorithm can be obtains the optimal solution with at most two exchange optimization for LCM's initial feasible solution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2434-2453
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• 2019

To improve the separation performance of time-frequency overlapped radar and communication signals from a single channel, this paper proposes an effective separation method based on an improved empirical wavelet transform (EWT) that introduces a fast boundary detection mechanism. The fast boundary detection mechanism can be regarded as a process of searching, difference optimization, and continuity detection of the important local minima in the Fourier spectrum that enables determination of the sub-band boundary and thus allows multiple signal components to be distinguished. An orthogonal empirical wavelet filter bank that was designed for signal adaptive reconstruction is then used to separate the input time-frequency overlapped signals. The experimental results show that if two source components are completely overlapped within the time domain and the spectrum overlap ratio is less than 60%, the average separation performance is improved by approximately 32.3% when compared with the classic EWT; the proposed method also improves the suitability for multiple frequency shift keying (MFSK) and reduces the algorithm complexity.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.85-92
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• 2019

In this paper, we extract the quantitative relation data of activities from the workflow event log file recorded in the XES standard format and connect them to rediscover the workflow process model. Extract the workflow process patterns and proportions with the rediscovered model. There are four types of control-flow elements that should be used to extract workflow process patterns and portions with log files: linear (sequential) routing, disjunctive (selective) routing, conjunctive (parallel) routing, and iterative routing patterns. In this paper, we focus on four of the factors, disjunctive routing, and conjunctive path. A framework implemented by the authors' research group extracts and arranges the activity data from the log and converts the iteration of duplicate relationships into a quantitative value. Also, for accurate analysis, a parallel process is recorded in the log file based on execution time, and algorithms for finding and eliminating information distortion are designed and implemented. With these refined data, we rediscover the workflow process model following the relationship between the activities. This series of experiments are conducted using the Large Bank Transaction Process Model provided by 4TU and visualizes the experiment process and results.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.347-370
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• 2019

In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.45-54
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• 2023

The digital age start in earnest with the widespread use of the Internet. As a digital product, virtual idols bring new value to the design and dissemination of commercial brand images. "Luo Tianyi" is the world's first avatar and VOCALOID voice bank of Chinese. It has a large number of fans in China and is widely used in brand promotion. Therefore, "Luo Tianyi" is taken as the research object. Initially, we investigated the virtual idols through books, literature on the internet and other materials. Then we discussed semiotics and theories related to culture code brand design methodology (CCBD). After that, putting the above theories into practice, combined with brand design cases, we analyzed the strategy of virtual idols in brand promotion and dissemination, at last, we have the conclusion as followed. The results show that the virtual idols, visual symbol of "Luo Tianyi" can express the Index and Symbol corresponding to the brand information according to the characteristics of the brand. As an image of cultural code, "Luo Tianyi" can present three visual images at the same time, which are contemporary, traditional and future. In addition, these three visual images are presented in a strong and weak combination, which has a positive impact on the visual communication of the brand.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.551-569
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• 2024

With the rapid development of electric vehicles (EVs) industry, EV charging service becomes more and more important. Especially, in the case of suddenly drop of air temperature or open holidays that large-scale EVs seeking for charging devices (CDs) in a short time. In such scenario, inefficient EV charging scheduling algorithm might lead to a bad service quality, for example, long queueing times for EVs and unreasonable idling time for charging devices. To deal with this issue, this paper propose a Deep-Q-Network (DQN) based two-stage scheduling method for the large-scale EVs charging service. Fine-grained states with two delicate neural networks are proposed to optimize the sequencing of EVs and charging station (CS) arrangement. Two efficient algorithms are presented to obtain the optimal EVs charging scheduling scheme for large-scale EVs charging demand. Three case studies show the superiority of our proposal, in terms of a high service quality (minimized average queuing time of EVs and maximized charging performance at both EV and CS sides) and achieve greater scheduling efficiency. The code and data are available at THE CODE AND DATA.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.1059-1074
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• 2024

The paper is an attempt to study the individual's intention to use mobile banking. In light of the results obtained from the study, the proposed model offers a better fit with the data and explains the intention of individuals to use mobile banking services. Government support, trust, and compatibility significantly contribute to the Perceived behavioral control of a bank customer to use mobile banking while Perceived ease of use, Perceived usefulness, Security and privacy, and risk have a significant positive impact on the attitude of the individuals to utilize mobile banking service. The study uses primary data and the final instrument was administered to 950 respondents, across the country of which 904 data were used for the analysis after editing to accommodate the missing values. The study has adopted structural equation modeling approach to analyze the relationships between the variables in the study. The proposed framework in this study can be utilized to identify the factors that promote the adoption of mobile banking practices and the study also has the potential to provide updated and comprehensive literature on mobile banking, which can accelerate future research in this field.