• Convergence Security Journal
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• v.22 no.3
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• pp.79-86
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• 2022

Voice phishing is a cyber crime in which fake financial institutions, the Public Prosecutor's Office, and the National Police Agency are impersonated to find out an individual's Certification number and credit card number or withdraw a deposit. Recently, voice phishing has been carried out in a subtle and secret way. Analyzing the trend of voice phishing that occurred in '18~'21, it was found that there is a seasonality that occurs rapidly at a time when the movement of money is intensifying in the trend of voice phishing, giving ambiguity to time series analysis. In this research, we adjusted seasonality using the X-12 seasonality adjustment methodology for accurate prediction of voice phishing occurrence trends, and predicted the occurrence of voice phishing in 2022 using the ARIMA model.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.91-97
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• 2020

Use of voice-based interfaces that can interact with users is increasing as AI technology develops. To date, however, most of the research on voice-based interfaces has been technical in nature, focused on areas such as improving the accuracy of speech recognition. Thus, the voice of most voice-based interfaces is uniform and does not provide users with differentiated sensibilities. The purpose of this study is to add a emotional factor suitable for the AI interface. To this end, we have derived emotional factors that should be considered in designing voice interface. In addition, we looked at voice trends that differed from country to country. For this study, we conducted interviews with voice industry experts from Finland and Norway, countries that use their own independent languages.

• Electronics and Telecommunications Trends
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• v.16 no.1 s.67
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• pp.18-23
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• 2001

본 논문에서는 인터넷망에서 MPLS 기술을 이용해서 고품질 음성 서비스를 지원하기 위한 Voice over MPLS 기술의 표준화 동향에 대해 조사 분석하고, 국내 기술 개발시의 고려 사항에 대해 고찰한다. Voice over MPLS 기술에 대한 표준화는 IETF와 MPLS Forum에서 적극적으로 추진하고 있으며, 기술적으로는 Voice directly over MPLS 구조와 VoIP over MPLS의 두 가지 구조가 연구되고 있다.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.425-428
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• 2000

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1246-1254
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• 2012

The South Korea has the highest overall smoking rates of male among the thirty member-countries in the Organization for Economic Cooperation and Development. This study was performed to determine the association between amount of smoking and self-reported voice problem in Korean adult population using national survey data. Data were drawn from the Korea National Health and Nutritional Examination Survey 2008. Subjects were 3,600 persons (1,501 male, 2,099 female) aged 19 years and older living in the community. Adjusting for covariates (age, sex, education, income, longest occupation, alcohol drinking, pain and discomfort during the last 2 weeks), Severe smoke (>40.5-55.5 pack year), more than 20 cigarettes per day were independent risk factors for self-reported voice problem. It was found that the number of cigarettes smoked per day (CPD) the proportional increased in risk of voice disorders. These findings suggest that the investigation of CPD are required for effective screening of voice disorder.

• Journal of Magnetics
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• v.15 no.3
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• pp.143-147
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• 2010

Rotary-type voice coil motors are widely used as actuators in hard disk drives. The recent trend toward higher density and smaller form factors in data storage devices requires performance improvement of the voice coil motor. In this study, we introduce a Halbach magnet array to the voice coil motor in order to increase the force generation. The Halbach magnetic circuit outperforms the conventional magnetic circuit due to the confined magnetic flux. To investigate the performance of the Halbach magnetic circuit, we analyze air gap flux density with the various shapes and thickness of the magnets using 3-dimensional finite element analysis. Consequently the optimum shape of the Halbach magnetic circuit is proposed. Simulations and experimental results proved effectiveness of the proposed magnet array in the voice coil motor for a commercial hard disk drive.

• Journal of the Korean Society for information Management
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• v.38 no.3
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• pp.101-140
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• 2021

As the payment service sector actively embraces artificial intelligence technology, "Voice Payments" is becoming a trend in contactless payment services. Voice payment services can execute payments faster and more intuitively through "voice," the most natural means of communication for humans. In this study, we selected richness, intimacy, and autonomy as factors for building trust with artificial intelligence agents. We wanted to determine whether the trust will be formed if the factors were applied to the voice payment services. The experiment results showed that the higher the richness and autonomy of the voice payment interface and the lower the intimacy, the higher the trust. In addition, the two-way interaction effects of richness and autonomy were significant. We analyzed and synthesized the collected short-answer system to identify users' anxiety when using voice payment services and proposed speech interface design ideas to increase their trust in the voice payment.

• Journal of Software Assessment and Valuation
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• v.15 no.2
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• pp.73-83
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• 2019

Voice Recognition has recently been improved with AI(Artificial Intelligence) and has greatly improved the false recognition rate and provides an effective and efficient Human Machine Interface (HMI). This trend has also been applied in the defense industry, particularly in the aviation, F-35. However, for the quality evaluation of Voice Recognition, the defense industry, especially the aircraft, requires measurable quantitative models. In this paper, the quantitative evaluation model is proposed for applying Voice Recognition to aircraft. For the proposal, the evaluation items are identified from the Voice Recognition technology and ISO/IEC 25000(SQuaRE) quality attributes. Using these two perspectives, the quantitative evaluation model is proposed under aircraft operation condition and confirms the evaluation results.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.1-33
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• 2022

Voice shopping is gaining attention following the trend of non-contact E-commerce by enabling people to shop via voice command. Therefore, in this study, voice shopping service heuristics using a display-mounted voice interface were developed in preparation for the future where voice shopping becomes a part of daily life in the world. First, as a theoretical approach, a literature survey of 50 papers on the design principles of 'visual interface,' 'voice interface,' and 'shopping service' was conducted to produce a total of 29 draft design principles. Second, as an empirical approach, a focus group interview was conducted on consumer decision-making processes in shopping experiences and information-seeking behavior within the context of shopping to draft the heuristics. This was to supplement the user experience, a weak part of the literature research. Finally, a Delphi survey asked 20 experts in UX, service planning, artificial intelligence development, and shopping to evaluate the heuristics draft developed through the above two stages. After three rounds of Delphi surveys, the final heuristics were proposed.

• Convergence Security Journal
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• v.24 no.2
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• pp.151-160
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• 2024

In recent years with high interest rates and inflations, which worsen people's lives, voice phishing crimes also increase along with damage. Voice phishing that becomes more evolved by technology developments causes serious financial and mental damage to victims. This work aims to study time series models for its accurate prediction. ARIMA, SARIMA and SARIMAX models are compared. As exogenous variables, the amount of damages and the numbers of arrests and criminals are adopted. Forecasting performances are evaluated. Prediction intervals are constructed along with empirical coverages, which justify the superiority of the model. Finally, the numbers of voice phishing up to December 2024 are predicted, through which we expect the establishment of future prevention strategies for voice phishing.