• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.113-117
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• 2021

The article defines the basic concepts: "election campaign", "social capital", "conversion of social capital"; the principles and methods of research of social capital conversion in election campaigns are studied; the process of using social capital in politics is defined; ways of converting social capital into politics are considered; the possibilities of converting social capital in election campaigns are described. Election campaigns have been found to be a successful form of social capital conversion. The ability to use social capital in the election campaign speaks of its high potential. Election campaigns are not an effective use of social capital.

• International journal of advanced smart convergence
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• 제12권2호
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• pp.67-75
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• 2023

Recently, many studies have been conducted on ways to utilize AI technology in NIDS (Network Intrusion Detection System). In particular, CNN-based NIDS generally shows excellent performance. CNN is basically a method of using correlation between pixels existing in an image. Therefore, the method of generating an image is very important in CNN. In this paper, the performance comparison of CNN-based NIDS according to the image generation method was performed. The image generation methods used in the experiment are a direct conversion method and a one-hot encoding based method. As a result of the experiment, the performance of NIDS was different depending on the image generation method. In particular, it was confirmed that the method combining the direct conversion method and the one-hot encoding based method proposed in this paper showed the best performance.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• 제3B권3호
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• pp.128-132
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• 2003

This paper presents the optimum design of a Linear Induction Motor (LIM) using Genetic algorithm, Niching Genetic algorithm and Neural Network. The design variables are optimized by different optimization methods and the results are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.713-725
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• 2022

Mostly, artificial intelligence does not show any definite change in emotions. For this reason, it is hard to demonstrate empathy in communication with humans. If frequency modification is applied to neutral emotions, or if a different emotional frequency is added to them, it is possible to develop artificial intelligence with emotions. This study proposes the emotion conversion using the Generative Adversarial Network (GAN) based voice frequency synthesis. The proposed method extracts a frequency from speech data of twenty-four actors and actresses. In other words, it extracts voice features of their different emotions, preserves linguistic features, and converts emotions only. After that, it generates a frequency in variational auto-encoding Wasserstein generative adversarial network (VAW-GAN) in order to make prosody and preserve linguistic information. That makes it possible to learn speech features in parallel. Finally, it corrects a frequency by employing Amplitude Scaling. With the use of the spectral conversion of logarithmic scale, it is converted into a frequency in consideration of human hearing features. Accordingly, the proposed technique provides the emotion conversion of speeches in order to express emotions in line with artificially generated voices or speeches.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.305-316
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• 2021

The objective is to recognize the better opportunities from targeted reveal advertising, to show a banner ad to the consumer of online who is most expected to obtain a preferred action like signing up for a newsletter or buying a product. Discovering the most excellent commercial impression, it means the chance to exhibit an advertisement to a consumer needs the capability to calculate the probability that the consumer who perceives the advertisement on the users browser will acquire an accomplishment, that is the consumer will convert. On the other hand, conversion possibility assessment is a demanding process since there is tremendous data growth across different information dimensions and the adaptation event occurs infrequently. Retailers and manufacturers extensively employ the retail services from internet as part of a multichannel distribution and promotion strategy. The rate at which web site visitors transfer to consumers is low for online retail, out coming in high customer acquisition expenses. Approximately 96 percent of web site users concluded exclusive of no shopper purchase[1].This category of conversion rate is collected from the advertising of social media sites and pages that dataset must be estimating and assessing with the concept of big data clustering, which is used to group the particular age group of people along with their behavior. This makes to identify the proper consumer of the production which leads to improve the profitability of the concern.

• Journal of Ubiquitous Convergence Technology
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• 제2권2호
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• pp.78-87
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• 2008

Received signal strength indicator (RSSI) is used as one of the ranging techniques to locate dynamic sensor nodes in wireless sensor network. Before it can be used for position estimation, RSSI values must be converted to distances using path loss model. These distances among sensor nodes are combined using trilateration method to find position. This paper presents an idea which attempts to integrate both path loss model and trilateration as one algorithm without going through RSSI-distance conversion. This means it is not simply formulas combination but a whole new model was developed. Several advantages were found after integration: it is able to reduce processing load, and ensure that all values do not exceed the maximum range of 16-bit signed or unsigned numbers due to antilog operation in path loss model. The results also show that this method is able to reduce estimation error while inaccurate environmental parameters are used for RSSI-distance conversion.

• 한국통신학회논문지
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• 제29권12A호
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• pp.1285-1290
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• 2004

본 논문에서는 광 버스트 네트워크 내의 버스트 충돌을 해결하기 위한 새로운 알고리즘을 제안하였다. 제안된 알고리즘은 파장 변환(conversion), 경로 변경(deflection), 분리(segmentation), 광섬유 버퍼링을 흔합하여 광 스위치에 적용한 것이다. 제안된 충돌 해결 알고리즘의 성능은 ns(network simulator)-2를 이용하여 분석하였다. 시뮬레이션에 사용한 네트워크 토폴로지는 한국의 기간망을 가정하였고 이를 기반으로 다양한 네트워크 트래픽 조건에서 성능 지표(버림 확률, 전파 지연)의 개선을 보였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.497-500
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• 2022

High-quality images and videos are being generated as technologies for deep learning-based image style translation and conversion of static images into dynamic images have developed. However, it takes a lot of time and resources to manually transform images, as well as professional knowledge due to the difficulty of natural image transformation. Therefore, in this paper, we study natural style mixing through a style conversion network using GAN and natural dynamic image generation using the First Order Motion Model network (FOMM).

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제52권8호
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• pp.413-419
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• 2003

The paper presents a simulation model and analysis of a grid-connected variable speed wind energy conversion scheme (VSWECS) using the PSCAD/EMTDC software. The modeled system uses a variable speed drive, a fixed pitch angle, a synchronous generator as a wind generator and an AC-DC-AC conversion scheme, which facilitates the wind generation to efficiently operate under varying wind speed while connected to the distribution network. The power output of the WECS is controlled by the AC-DC-AC conversion scheme, the objective of which is to capture the maximum active power under varying wind conditions and to keep the voltage magnitude of the terminal bus at a specific level. Aerodynamic models are applied for a wind turbine model. An simulation analysis of the scheme in terms of its responding to wind variations is also presented.

• 전자공학회논문지CI
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• 제43권6호
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• pp.60-70
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• 2006

유비쿼터스 환경에서의 비디오 적응 변환을 위하여 현재 MPEG-4 AVC/SE SVC에서는 공간적, 시간적, 품질적 스케일러빌리티를 지원하고 있다. 이러한 스케일러빌리티의 변환은 가변적인 대역폭을 가지는 네트워크 특성에 따라 실시간으로 이루어져야 한다. 그러나 현재의 SVC에서는 품질적 스케일러빌리티에 대해서는 실시간으로 스케일러빌리티를 변환할 수 잇지만 공간적, 시간적 스케일러빌리티에 대해서는 이를 제대로 지원할 수 없다. 이에 본 논문에서는 이와 관련된 문제점들을 자세히 알아보고 이를 해결하기 위한 방법을 제안한다. 부호시에는 주기적으로 IDR NAL을 삽입하였다. 추출시에는 실시간 추출에 필요한 정보들을 미리 분석한 후 실제 추출시에 활용하여 실시간 추출을 가능하도록 하였다. 마지막으로 복호시에는 실시간 스케일러빌리티를 지원할 수 있는 프로세스를 정의하였다. 이를 JSVM4.0에 구현하였고 주어진 네트워크 대역폭에 스케일러빌리티를 통하여 적응된 비트스트림의 비트레이트, PSNR, 스케일러빌리티를 측정하여 제안된 방법의 유효성을 검증하였다.