• Satellite Communications and Space Industry
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• v.14 no.1 s.29
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• pp.102-109
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• 2007

본 논문은 고속열차와 같은 고속 이동체에서 위성무선연동 전송기술을 이용하여 지상무선망과 동일한 수준의 인터넷 서비스를 제공하기 위한 이동형 위성 인터넷 접속기술에 관한 것이다. 이러한 서비스 제공을 위해서는 터널이나 역사(Railway Station)와 같은 N-LOS 환경에 대한 대처기술이 필요하며, LOS 환경에서도 철로상에 설치되어 있는 Electronic Power Post나 Power Bridge 등으로 인한 주기적이고 짧은 시간동안의 신호열화 현상이나 고속 이동에 따른 도플러 현상에 대한 극복기술이 필요하다. 이러한 기술들이 집약된 본 시스템을 소개한다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.28 no.7
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• pp.48-54
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• 2014

This paper discusses study of torque ripple minimization employing an improved TDF(torque distribution function)-based instantaneous torque control to reduce acoustic noise and vibration problem of the SRM. As the flux linkage of the SRM is a nonlinear function of phase current and rotor position, design of optimal controller for the SRM is quite complicated. Hence, an accurate mathematical model considering the nonlinearity of the SRM is required. An improved TDF based torque control has been proposed in order to reduce the toque ripple at high speed operation. Dynamic simulation using Matlab/Simulink as well as Finite Element Analysis is presented. A prototype SRM for electric vehicle traction has been manufactured to validate the experimental results comparing the dynamic simulation results.

• Journal of information and communication convergence engineering
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• v.16 no.2
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• pp.93-98
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• 2018

The Internet of Things (IoT) is a form of the emerging 4th industry in the 5G era. IoT is expected to develop naturally in our daily life in the 5G era in which high-speed communication will be completed. Along with the rise of IoT, concerns about security and malicious attacks are also increasing. This paper examines DoS attacks, which are one of the representative security threats of IoT and proposes a local detection and blocking system that are suitable for response to such attacks. First, systems of the LoRaWAN type, which are most actively researched in the IoT system field and DoS attacks that can occur in such systems were examined. Then, the inverse order tree algorithm using regional characteristics was designed as a cluster analysis form. Finally, a system capable of defending denial-of-service attacks in the 5G IoT system using local detection and blocking with the Euclidean distance was designed.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.212-215
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• 2005

The needs of larger screen in mobile device would be increased as the time of ubiquitous and convergence is coming. And, the type of mobile device has been evolved from bar, slide to row. Recently, the study on the multi-display screen which has seamless gap between two display panel has been published, and moreover the System On Chip(SOC) design strategy of core chip has been the most promising Field-Programmable Gate Array(FPGA) technology in the display system. Therefore, in this paper, we proposed the design technique of SOC and evaluated the effectiveness with Very high speed Hardware Description Language(VHDL) Intellectual Property (IP) for the operation of multi display device driver. Also, This IP design would be to allow any kind of user interface in control system.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.385-398
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• 2021

The complexity of deep learning models affects the real-time performance of gesture recognition, thereby limiting the application of gesture recognition algorithms in actual scenarios. Hence, a residual learning neural network based on a deep convolutional neural network is proposed. First, small convolution kernels are used to extract the local details of gesture images. Subsequently, a shallow residual structure is built to share weights, thereby avoiding gradient disappearance or gradient explosion as the network layer deepens; consequently, the difficulty of model optimisation is simplified. Additional convolutional neural networks are used to accelerate the refinement of deep abstract features based on the spatial importance of the gesture feature distribution. Finally, a fully connected cascade softmax classifier is used to complete the gesture recognition. Compared with the dense connection multiplexing feature information network, the proposed algorithm is optimised in feature multiplexing to avoid performance fluctuations caused by feature redundancy. Experimental results from the ISOGD gesture dataset and Gesture dataset prove that the proposed algorithm affords a fast convergence speed and high accuracy.

• Journal of information and communication convergence engineering
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• v.17 no.3
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• pp.185-190
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• 2019

The explosive growth of data traffic and services has created cost challenges for networks. Studies have attempted to effectively apply network slicing in fifth generation networks to provide high speed, low latency, and various compatible services. However, in network slicing using mixed-integer linear programming, the operation count increases exponentially with the number of physical servers and virtual network functions (VNFs) to be allocated. Therefore, we propose an efficient slice allocation method based on cluster technology, comprising the following three steps: i) clustering physical servers; ii) selecting an appropriate cluster to allocate a VNF; iii) selecting an appropriate physical server for VNF allocation. Solver runtimes of the existing and proposed methods are compared, under similar settings, with respect to intra-slice isolation. The results show that solver runtime decreases, by approximately 30% on average, with an increase in the number of physical servers within the cluster in the presence of intra-slice isolation.

• Journal of information and communication convergence engineering
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• v.20 no.4
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• pp.242-249
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• 2022

Classical cryptography with complex computations has recently been utilized in the latest computing systems to create secret keys. However, systems can be breached by fast-measuring methods of the secret key; this approach does not offer adequate protection when depending on the computational complexity alone. The laws of physics for communication purposes are used in quantum computing, enabling new computing concepts to be introduced, particularly in cryptography and key distribution. This paper proposes a quantum computing lattice (CQL) mechanism that applies the BB84 protocol to generate a quantum key. The generated key and a one-time pad encryption method are used to encrypt the message. Then Babai's algorithm is applied to the ciphertext to find the closet vector problem within the lattice. As a result, quantum computing concepts are used with classical encryption methods to find the closet vector problem in a lattice, providing strength encryption to generate the key. The proposed approach is demonstrated a high calculation speed when using quantum computing.

• Journal of Advanced Information Technology and Convergence
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• v.9 no.1
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• pp.39-46
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• 2019

This paper proposes an efficient tag identification scheme for ISO/IEC18000-7 standard by dividing the tags into smaller groups. Tag grouping is based on the reader's transmission power. This can reduce the responding tags in the collection round. If the small number of tags exists, we can anticipate the collision probability will decrease. And it makes the identification speed high. A collection round initiated by the reader's collection command. It also proceeds with increasing the power of the reader until all tags are identified. The results showed that 25% of the performance improved.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.7-15
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• 2024

6G network technology represents the next generation of communications, supporting high-speed connectivity, ultra-low latency, and integration with cutting-edge technologies, such as the Internet of Things (IoT), virtual reality, and autonomous vehicles. These advancements promise to drive transformative changes in digital society. However, as technology progresses, the demand for efficient data transmission and energy management between smart devices and network equipment also intensifies. A significant challenge within 6G networks is the optimization of interactions between satellites and smart devices. This study addresses this issue by introducing a new game theory-based technique aimed at minimizing system-wide energy consumption and latency. The proposed technique reduces the processing load on smart devices and optimizes the offloading decision ratio to effectively utilize the resources of Low-Earth Orbit (LEO) satellites. Simulation results demonstrate that the proposed technique achieves a 30% reduction in energy consumption and a 40% improvement in latency compared to existing methods, thereby significantly enhancing performance.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.169-174
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• 2024

The Internet industry is developing at a high speed and entering the stage of convergence of everything, in which mobile devices are a key part, and smartphone manufacturing enterprises are developing rapidly in this environment. As one of the smartphone manufacturing enterprises that have dominated the Chinese smartphone market for many years, OPPO enterprise has developed rapidly and occupied a large share of the smartphone market. As a globally renowned technology company, its unique organizational culture is behind its success. In this study, through the analysis of OPPO's information and related literature, we found that OPPO's organizational culture has the characteristics of emphasizing teamwork, focusing on innovation, and advocating customer first. This organizational culture not only enhances employees' sense of belonging, but also promotes the company's long-term development. This study is not only important for understanding OPPO's success, but also for other companies to construct and optimize their organizational culture.