• Journal of Information Processing Systems
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• 제19권6호
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• pp.756-766
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• 2023

To effectively track the illegal use of digital images and maintain the security of digital image communication on the Internet, this paper proposes a reversible multipurpose image watermarking algorithm based on a deep residual network (ResNet) and perceptual hashing (also called MWR). The algorithm first combines perceptual image hashing to generate a digital fingerprint that depends on the user's identity information and image characteristics. Then it embeds the removable visible watermark and digital fingerprint in two different regions of the orthogonal separation of the image. The embedding strength of the digital fingerprint is computed using ResNet. Because of the embedding of the removable visible watermark, the conflict between the copyright notice and the user's browsing is balanced. Moreover, image authentication and traitor tracking are realized through digital fingerprint insertion. The experiments show that the scheme has good visual transparency and watermark visibility. The use of chaotic mapping in the visible watermark insertion process enhances the security of the multipurpose watermark scheme, and unauthorized users without correct keys cannot effectively remove the visible watermark.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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• pp.85-87
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• 2004

Supervisory control and data acquisition (SCADA) systems are essential parts of power system which employ a wide range of computers and communication technologies. The traditional SCADA system is mainly for information exchange in only one company, and the information is provided only to the operator or administrator. But in the deregulated environment, we need much more information, which can be exchanged among different companies. With the rapid development of internet, we can use it to access information easily. This paper proposes web technologies to be applied in power system in order to display some important information through accessing data from database, and to realize the real time control of the substation. The functions of SCADA system will be implemented by a set of Web-based components. The monitoring and control of standard 154[kV] substation model is already realized in the laboratory test. The Web-based SCADA system is able to provide sufficient information and control for pow or system through an efficient and economical way.

• 한국실천공학교육학회논문지
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• 제1권1호
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• pp.99-105
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• 2009

Web을 이용한 컴퓨터기반의 학습은 교육을 위한 유용한 적용방법이다. 이런 방법은 애니메이션과 상호작용을 통해 제공되어 지고 복잡한 설비들은 교본을 통해 쉽게 학습할 수 없다. 웹/인터넷이 가능한 응용문제들은 원격지에서 제어되고 모니터링 될 수 있으므로 전 세계 원격지 대학, 연구소 또는 회사에서 다양한 방법으로 충분히 사용된다. 컴퓨터와 전자기술의 결합을 통한 저가의 하드웨어 개발은 이전에 비해 웹/인터넷 기반기술의 발전을 통해 특별히 교육기관을 위해 만들어졌다. 따라서 이런 분야에 적합한 기술개발은 광범위한 웹기반 교육의 확장과 이를 위한 기술개발 적절한 투자가 필수적이다. 원격 가상계측기의 응용은 실험을 통해 검증되어져야 하며 공학도를 위해 실험이 가능할 수 있도록 적용되어야 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.77-92
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• 2020

When automatic speech recognition (ASR) is provided as a cloud service, it is easy to collect voice and application domain data from users. Harnessing these data will facilitate the provision of more personalized services. In this paper, we demonstrate our transfer learning-based knowledge service that built with the user-generated data collected through our novel system that deliveries personalized ASR service. First, we discuss the motivation, challenges, and prospects of building up such a knowledge-based service-oriented system. Second, we present a Quadruple Transfer Learning (QTL) method that can learn a classification model from a source domain and transfer it to a target domain. Third, we provide an overview architecture of our novel system that collects voice data from mobile users, labels the data via crowdsourcing, utilises these collected user-generated data to train different machine learning models, and delivers the personalised real-time cloud services. Finally, we use the E-Book data collected from our system to train classification models and apply them in the smart TV domain, and the experimental results show that our QTL method is effective in two classification tasks, which confirms that the knowledge transfer provides a value-added service for the upper-layer mobile applications in different domains.

• Smart Structures and Systems
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• 제26권5호
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• pp.559-573
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• 2020

One of the powerful data management tools is Building Information Modeling (BIM) which operates through obtaining, recalling, sharing, sorting and sorting data and supplying a digital environment of them. Employing SHM, a BIM in monitoring systems, would be an efficient method to address their data management problems and consequently optimize the economic aspects of buildings. The recording of SHM data is an effective way for engineers, facility managers and owners which make the BIM dynamic through the provision of updated information regarding the occurring state and health of different sections of the building. On the other hand, digital transformation is a continuous challenge in construction. In a cloud-based BIM platform, environmental and localization data are integrated which shape the Internet-of-Things (IoT) method. In order to improve work productivity, living comfort, and entertainment, the IoT has been growingly utilized in several products (such as wearables, smart homes). However, investigations confronting the integration of these two technologies (BIM and IoT) remain inadequate and solely focus upon the automatic transmission of sensor information to BIM models. Therefore, in this composition, the use of BIM based on SHM and IOT is reviewed and the economic application is considered.

• 사물인터넷융복합논문지
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• 제8권2호
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• pp.1-6
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• 2022

본 논문은 Wake-up radio를 활용한 지역화 Time Slotted Channel Hopping (TSCH) 슬롯프레임 기반 항공 데이터 수집 기법을 제안한다. 제안하는 기법은 무인항공기가 대규모 서비스 영역 내 배치된 센서 기기들의 데이터를 수집할 때 소요되는 지연 시간 및 소모 에너지를 최소화하는 것을 목표로 한다. 이를 위해, 제안 기법은 서비스 영역을 다수의 지역으로 분할하고, 각 지역 내 센서 기기들이 요구하는 셀의 수에 따라 지역별로 TSCH 슬롯프레임의 길이를 결정한다. 이후, 각 지역 내 센서 기기들의 ID를 활용하여 TSCH 슬롯프레임 내 데이터 전송 전용 셀을 할당한다. 에너지 효율적인 데이터 수집을 위해, 센서 기기는 Wake-up radio를 활용한다. 구체적으로, 센서 기기는 Wake-up radio를 활용하여 비콘 수신 및 데이터 전송을 위해 할당된 셀에서만 네트워크 인터페이스를 활성화한다. 시뮬레이션 결과는 제안 기법이 기존 기법 대비 지연 시간 및 에너지 소모 측면에서 더 우수한 성능을 가지는 것을 보여주었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3383-3397
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• 2023

Scene graphs serve as semantic abstractions of images and play a crucial role in enhancing visual comprehension and reasoning. However, the performance of Scene Graph Generation is often compromised when working with biased data in real-world situations. While many existing systems focus on a single stage of learning for both feature extraction and classification, some employ Class-Balancing strategies, such as Re-weighting, Data Resampling, and Transfer Learning from head to tail. In this paper, we propose a novel approach that decouples the feature extraction and classification phases of the scene graph generation process. For feature extraction, we leverage a transformer-based architecture and design an adaptive calibration function specifically for predicate classification. This function enables us to dynamically adjust the classification scores for each predicate category. Additionally, we introduce a Distribution Alignment technique that effectively balances the class distribution after the feature extraction phase reaches a stable state, thereby facilitating the retraining of the classification head. Importantly, our Distribution Alignment strategy is model-independent and does not require additional supervision, making it applicable to a wide range of SGG models. Using the scene graph diagnostic toolkit on Visual Genome and several popular models, we achieved significant improvements over the previous state-of-the-art methods with our model. Compared to the TDE model, our model improved mR@100 by 70.5% for PredCls, by 84.0% for SGCls, and by 97.6% for SGDet tasks.

• Nuclear Engineering and Technology
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• 제52권7호
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• pp.1565-1570
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• 2020

Photons with the energy of 60 keV are regularly used for some kinds of bone density examination devices, like the single photon absorptiometry (SPA). This article reports a flexible and lightweight rare earth/polymer composite for enhancing shielding efficiency against photon radiation with the energy of 60 keV. Lead oxide (PbO) and several rare earth element oxides (La₂O₃, Ce₂O₃, Nd₂O₃) were dispersed into natural rubber (NR) and the photon radiation shielding performance of the composites were assessed using monte carlo simulation method. For 60 keV photons, the shielding efficiency of rare earthbased composites were found to be much higher than that of the traditional lead-based composite, which has bad absorbing ability for photons with energies between 40 keV and 88 keV. In comparison with the lead oxide based composite, Nd₂O₃-NR composite with the same protection standard (the lead equivalent is 0.25 mmPb, 0.35 mmPb and 0.5 mmPb, respectively), can reduce the thickness by 35.29%, 37.5% and 38.24%, and reduce the weight by 38.91%, 40.99% and 41.69%, respectively. Thus, a flexible, lightweight and lead-free rare earth/NR composite could be designed, offering efficient photon radiation protection for the users of the single photon absorptiometry (SPA) with certain energy of 60 keV.

• 방송공학회논문지
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• 제27권4호
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• pp.527-537
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• 2022

멀티미디어 컨텐츠의 수요와 공급이 증가함에 따라 전 세계의 인터넷 트래픽이 증가하는 가운데 이를 완화하기 위해 여러 표준화 그룹에서는 더 효율적인 압축 표준을 제정하는데 노력을 기울이고 있다. 이러한 노력 중 압축 표준에 딥러닝 기술을 도입하고자 하는 연구들이 활발히 진행되고 있다. 그러나 딥러닝 기반 압축 기술은 학습 데이터와 특성이 다른 영상을 압축할 때 압축 효율이 저하되는 문제를 갖는다. 이를 해결하기 위해 컨텐츠에 적응적으로 딥러닝 기술을 도입하는 시도들이 있었다. 본 논문에서는 이들을 크게 코덱 정보 사용, 모델 선택, 추가 정보 전송의 세 가지로 나누어 살펴보고자 한다.

• The Journal of the Acoustical Society of Korea
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• 제28권2E호
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• pp.35-42
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• 2009

In this paper, we present criteria of objective measurement of speech quality to provide the mobile-VoIP services efficiently over wireless mobile internet. The mobile-VoIP service, which is based on mobility and is error-prone compared to conventional VoIP over wired network, is about to be launched, but there have not been adequate quality indexes and the Quality of Service (QoS) standards for evaluating speech quality of Mobile-VoIP. In addition, there are many factors influencing on the speech quality in packet network of which packet loss contribute directly to the overall voice communication quality. For this reason, we adopt the Gilbert-Elliot Channel Model for modeling packet network based on IP and assess the voice quality through the objective speech method of ITU-T P. 862 PESQ and ITU-T P. 862.1 MOS-LQO under various packet loss rates in the transmission channel environments. Our simulation results address the specific criteria and QoS for the mobile-VoIP services in terms of the various packet loss environments.