• Asia pacific journal of information systems
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• 제29권4호
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• pp.817-837
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• 2019

The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic.

• International Journal of Internet, Broadcasting and Communication
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• 제12권1호
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• pp.67-72
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• 2020

The fifth generation (5G) mobile communication has an impact on the human life over the whole world, nowadays, through the artificial intelligence (AI) and the internet of things (IoT). The low latency of the 5G new radio (NR) access is implemented by the state-of-the art technologies, such as non-orthogonal multiple access (NOMA). This paper investigates a practical issue that in NOMA, for the practical channel models, such as fading channel environments, the successive interference cancellation (SIC) should be performed on the stronger channel users with low power allocation. Only if the SIC is performed on the user with the stronger channel gain, NOMA performs better than orthogonal multiple access (OMA). Otherwise, NOMA performs worse than OMA. Such the superiority requirement can be easily implemented for the channel being static or slow varying, compared to the block interval time. However, most mobile channels experience fading. And symbol by symbol channel estimations and in turn each symbol time, selections of the SIC-performing user look infeasible in the practical environments. Then practically the block of symbols uses the single channel estimation, which is obtained by the training sequence at the head of the block. In this case, not all the symbol times the SIC is performed on the stronger channel user. Sometimes, we do perform the SIC on the weaker channel user; such cases, NOMA performs worse than OMA. Thus, we can say that by what percent NOMA is better than OMA. This paper calculates analytically the percentage by which NOMA performs better than OMA in the practical mobile communication systems. We show analytically that the percentage for NOMA being better than OMA is only the function of the ratio of the stronger channel gain variance to weaker. In result, not always, but almost time, NOMA could perform better than OMA.

• International Journal of Internet, Broadcasting and Communication
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• 제12권2호
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• pp.37-44
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• 2020

The fifth generation (5G) mobile communication has been commercialized and the 5G applications, such as the artificial intelligence (AI) and the internet of things (IoT), are deployed all over the world. The 5G new radio (NR) wireless networks are characterized by 100 times more traffic, 1000 times higher system capacity, and 1 ms latency. One of the promising 5G technologies is non-orthogonal multiple access (NOMA). In order for the NOMA performance to be improved, sometimes the additive signal-dependent Gaussian noise (ASDGN) channel model is required. However, the channel capacity calculation of such channels is so difficult, that only lower and upper bounds on the capacity of ASDGN channels have been presented. Such difficulties are due to the specific constraints on the dependency. Herein, we provide the capacity of ASDGN channels, by removing the constraints except the dependency. Then we obtain the ASDGN channel capacity, not lower and upper bounds, so that the clear impact of ASDGN can be clarified, compared to additive white Gaussian noise (AWGN). It is shown that the ASDGN channel capacity is greater than the AWGN channel capacity, for the high signal-to-noise ratio (SNR). We also apply the analytical results to the NOMA scheme to verify the superiority of ASDGN channels.

• 디지털산업정보학회논문지
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• 제15권3호
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• pp.1-14
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• 2019

The 4th Industrial Revolution, intelligent automobile application technology is evolving beyond the limit of the mobile device to a variety of application software and multi-media collective technology with big data-based AI(artificial intelligence) technology. with the recent commercialization of 5G mobile communication service, artificial intelligent automobile technology, which is a fusion of automobile and IT technology, is evolving into more intelligent automobile service technology, and each multimedia platform service and application developed in such distributed environment is being developed Accordingly, application software technology developed with a single system SoC of a portable terminal device through various service technologies is absolutely required. In this paper, smart device design for ontology design of intelligent automobile open platform enables to design intelligent automobile middleware software design technology such as Android based SVC Codec and real time video and graphics processing that is not expressed in single ASIC application software technology as SoC based application designWe have experimented in smart device environment through researches, and newly designed service functions of various terminal devices provided as open platforms and application solutions in SoC environment and applied standardized interface analysis technique and proved this experiment.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.34-41
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• 2020

Nowadays, the advanced smart convergences of the artificial intelligence (AI) and the internet of things (IoT) have been more and more important, in the fifth generation (5G) and beyond 5G (B5G) mobile communication. In 5G and B5G mobile networks, non-orthogonal multiple access (NOMA) has been extensively investigated as one of the most promising multiple access (MA) technologies. In this paper, we investigate the achievable data rate for the asymmetric binary pulse amplitude modulation (2PAM), in non-orthogonal multiple access (NOMA). First, we derive the closed-form expression for the achievable data rate of the asymmetric 2PAM NOMA. Then it is shown that the achievable data rate of the asymmetric 2PAM NOMA reduces for the stronger channel user over the entire range of power allocation, whereas the achievable data rate of the asymmetric 2PAM NOMA increases for the weaker channel user improves over the power allocation range less than 50%. We also show that the sum rate of the asymmetric 2PAM NOMA is larger than that of the conventional standard 2PAM NOMA, over the power allocation range larger than 25%. In result, the asymmetric 2PAM could be a promising modulation scheme for NOMA of 5G systems, with the proper power allocation.

• International journal of advanced smart convergence
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• 제10권1호
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• pp.75-81
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• 2021

As the number of connected smart devices and applications increases explosively, the existing orthogonal multiple access (OMA) techniques have become insufficient to accommodate mobile traffic, such as artificial intelligence (AI) and the internet of things (IoT). Fortunately, non-orthogonal multiple access (NOMA) in the fifth generation (5G) mobile networks has been regarded as a promising solution, owing to increased spectral efficiency and massive connectivity. In this paper, we investigate the achievable data rate for non-orthogonal multiple access (NOMA) with negatively-correlated information sources (CIS). For this, based on the linear transformation of independent random variables (RV), we derive the closed-form expressions for the achievable data rates of NOMA with negatively-CIS. Then it is shown that the achievable data rate of the negatively-CIS NOMA increases for the stronger channel user, whereas the achievable data rate of the negatively-CIS NOMA decreases for the weaker channel user, compared to that of the positively-CIS NOMA for the stronger or weaker channel users, respectively. We also show that the sum rate of the negatively-CIS NOMA is larger than that of the positively-CIS NOMA. As a result, the negatively-CIS could be more efficient than the positively-CIS, when we transmit CIS over 5G NOMA networks.

• 반도체디스플레이기술학회지
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• 제20권4호
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• pp.6-9
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• 2021

The 3D industry is drawing attention for its applications in various markets, including architecture, media, VR/AR, metaverse, imperial broadcast, and etc.. The current feature of the architecture we are introducing is to make 3D models more easily created and modified than conventional ones. Existing methods for generating 3D models mainly obtain values using specialized equipment such as RGB-D cameras and Lidar cameras, through which 3D models are constructed and used. This requires the purchase of equipment and allows the generated 3D model to be verified by the computer. However, our framework allows users to collect data in an easier and cheaper manner using cell phone cameras instead of specialized equipment, and uses 2D data to proceed with 3D modeling on the server and output it to cell phone application screens. This gives users a more accessible environment. In addition, in the 3D modeling process, object classification is attempted through deep learning without user intervention, and mesh and texture suitable for the object can be applied to obtain a lively 3D model. It also allows users to modify mesh and texture through requests, allowing them to obtain sophisticated 3D models.

• 지식경영연구
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• 제23권2호
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• pp.193-210
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• 2022

급속한 모바일 기술의 발전과 네트워크 속도 향상은 다양한 서비스 형태로 생활의 편의를 제공하고 있으며 모바일 쇼핑몰에서도 예외는 아니다. 빅데이터를 활용한 맞춤 추천, AI 기반의 특화된 개인화 서비스 등을 활용하여 기업들은 판매촉진에 큰 노력을 하고 있으나, 대다수의 모바일 쇼핑몰에서는 상품에 대한 정보를 담고 있는 상세페이지의 정보 구성은 동일한 레이아웃 형태로 제공되고 있다. 이러한 맥락에서 본 연구는 모바일 상품 상세페이지의 콘텐츠 배열 및 레이아웃이 소비자 성향에 맞게 제공되어야 한다고 판단하여, Higgins의 조절초점이론(Regulatory Focus Theory)을 바탕으로 소비자의 성향을 분류하여 두 가지 레이아웃 배열의 상품 상세페이지를 구성하여 제시하였다. 콘텐츠 레이아웃 배열이 F-shaped 패턴으로 제시되었을 때 정돈감(Organizedness)으로 정보가 인지되고, Z-shaped 패턴으로 제시되었을 때 생생함(Vividness)으로 정보가 인지되어 소비자의 성향에 따라 제품 태도와 구매 의도에 영향을 받는지에 대하여 알아보고자 하였다. 결과적으로 예방초점 성향의 소비자들은 콘텐츠 레이아웃 구성이 통일감 있고 정돈감(Organizedness) 있는 형태의 레이아웃 배열에서, 향상초점 성향의 소비자들은 생생함(Vividness)이 느껴지는 자유로운 레이아웃 배열로 제시되었을 때 제품 태도 및 구매 의도에 긍정적인 영향을 받는 것을 확인하였다.

• 한국융합학회논문지
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• 제12권4호
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• pp.43-50
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• 2021

최근 포항시를 비롯한 일부 지역의 지진 발생 빈도가 증가함에 따라, 대한민국 내에서 발생한 지진에 대한 대응책에 대한 필요성이 여러 가지 측면으로 요구되고 있다. 지진 발생 이후 액상화 현상이 발생하였고, 지진에 대한 사전대비와 대처에 대한 미흡함으로 인해, 지역 주민의 불안감이 가중 되었다. 이러한 현상에 대한 대처와 지역 주민에 대한 불안감을 해소하기 위해, 우리는 기존 지진 대응에 대한 시스템에 대한 한계를 분석하고, 그것을 해결하기 위한 하나의 방법을 마련하고자 한다. 이에 우리는 재난 상황에 적극적으로 대처할 수 있는 평가 기반의 지진 정보를 표출하고 확산할 수 있는 원스톱 모바일 지원 확산 시스템을 제안하고, 구현하여, 그 가능성을 증명한다.

• 방송공학회논문지
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• 제25권6호
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• pp.870-881
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• 2020

본 논문에서는 5G NR (new radio) 시스템에서 PSS/SSS (primary synchronization signal/secondary synchronization signal)를 이용한 cell ID (cell identity) 검출 방법들을 제시하고 성능을 평가한다. 시간 영역에서 PSS를 먼저 검출한 후 검출된 PSS 정보를 이용하여 채널 추정 및 SSS의 시퀀스 검출에 사용하는 2단계(2-stage) 검출 방법과 PSS와 SSS 시퀀스를 결합하여 동시에 검출하는 결합 검출(joint detection) 방법을 사용한다. 또한, 추정한 채널 이득을 이용하여 주어진 PSS 및 SSS의 전체 시퀀스 길이의 상관(correlation) 값을 계산하는 coherent 방법과 시퀀스의 전체 길이를 여러 개의 그룹으로 나누어 각 그룹 내에서는 coherent 상관을 계산하고, 이들을 결합하여 전체 그룹의 상관 값을 계산하는 non-coherent combining 방법을 제시한다. 본 논문에서 고려한 검출 방법들에 대해 전산 실험을 통하여 PSS 및 SSS의 개별 검출 에러율과 전체 cell ID 검출 에러율 성능을 비교한다. 전산 실험 결과는 가산 백색 가우시안 잡음환경과 고정 및 이동 환경에서 non-coherent combining 방법이 coherent 방법에 비해 우수한 검출 성능을 보이며, 결합 검출 방법은 2단계 검출 방법에 비해 우수한 성능을 보이나 계산 복잡도 측면에서는 2단계 검출 방법이 보다 낮은 복잡도를 갖는다는 것을 보여준다.