top of page

INDUSTRIAL IOT: FROM EDGE COMPUTING TO AI

2019 (In preparation)

D.-S. Kim and H. D. Tran, Springer, 2019

INDUSTRIAL SENSOR AND CONTROLS IN COMMUNICATION NETWORKS

2018

D.-S. Kim and H. D. Tran, Springer

실시간 미들웨어 DDS의 기초 및 응용(BASICS AND APPLICATION OF REAL-TIME MIDDLEWARE DDS)

2019 (in preparation)

D.-S. Kim , M.Y. Son, and etc.

books_edited_edited.jpg
Publications: Research
Publications: Research

GYEONG-SEON KIM, JAE-MIN LEE AND DONG-SEONG KIM, "DESIGN AND IMPLEMENTATION OF DIGITAL IMAGE PROCESSING SCHEME FOR REAL-TIME IMAGE PROCESSING(실시간 영상처리를 위한 디지털 영상 처리 기법)", 2019 SUMMER CONFERENCE ON KOREA INSTITUTE OF COMMUNICATION SCIENCES(KICS), PP. 542-543, JEJU ISLAND, SOUTH KOREA, JUNE 19-21, 2019 (N4 & N8))

2019 KICS Summer Conference

본 논문은 실시간성을 보장하는 디지털 이미지 처리 기법을 설계하고 제안하였다. 제안된 기법은 현제 영상 부호화 표준인 H.265/HEVC(High Efficiency Video Coding)가 사용 되었으며, 대용량 영상 데이터 처리 과정에서 실시간성을 보장하기위해 Bezier Curve 이미지 재구성 기법이 사용되었다. Bezier Curve 영상 재구성기법은 기존의 영상 재구성 기법들과 성능 비교되었으며, 개선된 성능을 보였다. 또한 제안된 기법은 기존의 실시간 영상 처리 시스템에 적용되어있는 H.264/AVC(Advanced Video Coding) 영상 부호화 표준과 비교되었다. 제안된 기법은 기존의 실시간 영상 처리 시스템보다 영상 압축률, 부호화 지연시간 측면에서 개선된 성능을 보였다.

Publications: Research

SEAMFARM: DISTRIBUTED DATA ANALYTIC FOR PRECISION AGRICULTURE BASED ON SEAMLESS COMPUTING

D.-H. Kim, M. R. Ramli, J.-M. Lee, and D.-S. Kim, The 25th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2019), Los Cabos, Mexico, October 21-25, 2019.


This work proposes a framework for distributed data analytic for precision agriculture based on seamless computing paradigm named SeamFarm. Generally, nodes deployed for precision agriculture consists of different types of devices where these nodes generate an extensive amount of data. Then machine learning can be used to analyze this data for the application of data analytic for precision agriculture. However, most of the IoT devices are resource-constrained devices, which results in poor performance while conducting a machine learning task. Thus, in SeamFarm, we consider to distribute the data as well as the task to all available nodes. The results show that SeamFarm can meet all of the functional and non-functional requirements of distributed data analytic for precision agriculture. It can maintain the resource of device, such as CPU usage during the execution of data analytic application. Moreover, it can obtain faster data analytic results because all of the processes run locally instead of the cloud node.

DESIGN AND IMPLEMENTATION OF 100GB/S OPTICAL TRANSCEIVER FIRMWARE FOR OPTICAL COMMUNICATION SYSTEM

Journal of KICS, 2019

In this paper, an efficient firmware design scheme is proposed for 100G CFP(C form-factor pluggable) optical transceiver based on MSA(Multi-Source Agreement) standard for Optical Transceiver. The proposed method uses FPGA approach to design for integration of CFP communication interface and register structure, and uses MCU to implement the operation function of CFP optical transceiver. In order to verify the implemented firmware according to the proposed design scheme, a real TestBed was constructed and verified the effectiveness through performance verification. It is expected that the proposed scheme can be applied to type of the 200/400G CFP optical transceiver in the future.

Publications: Research

This paper emphasizes a method for improving spectral efficiency based on small cells (SCs) deployed in an existing macrocell (MC), which ultimately results in overall enhancement of the network capacity and coverage area. In addition, it allows an unlicensed secondary network to deliver messages through opportunistic access to the licensed network spectrum. By deploying SCs, users either inside or outside high residential buildings and/or commercial buildings can acquire signals during communications without interruption. The connectivity in the alliance of the two-tier networks becomes abundant, resulting in spectral efficiency improvement. In this paper, we first recall performance based on the Vandermonde-subspace frequency division multiplexing (VFDM) spectrum-sharing technique for spectrum management under both conventional (single-user) and enhanced scenarios; subsequently, the proposed method is introduced for comparison purposes. The performance of both methods is manifested in simulation results for the achievable rate, which demonstrate that the proposed approach outperforms enhanced VFDM and is a potential candidate in next-generation cellular technology. The motivation for the preference for SC deployment in the proposed approach is due to worthy characteristics (low power, low cost, very light weight, and self-organization). Unlike MCs, which need a considerable budget, they are installed anywhere without a lot of expense, and hence, save the network infrastructure.

This paper proposes an impulse radio ultrawideband (IR-UWB) sensor network channel model techniques for next generation wireless avionic systems (NGWAS). The Boeing's aircraft wing systems are considered for the deployment of the proposed scheme. The IR-UWB technique aims at alleviating the aforementioned drawbacks by selecting the best path from the available paths on the basis of bit error rate (BER). The cooperative relaying scheme which is implemented here to conduct the path selection process is a promising technique for communication of multiple distant sensor nodes and it also minimizes delay, and maximize packet delivery whilst providing a strong signal strength. This paper also investigates and compares the performances of the IR-UWB standardized channels in four different model environments of CM1 to CM4. It is understandable that the current redundant wired links in the avionic system industry would be substantially reduced as a result of the IR-UWB wireless implementation, while an increased throughput performance would be maintained.

In this paper, a novel, high-capacity and transparent blind audio watermarking system based on rounding reduced-arc M-ary phase shift keying (MPSK) is presented. Signal samples of the audio file are divided into several frames and then transformed into the frequency domain using fast Fourier transform. The watermark is embedded in the phase element of the selected samples based on several criteria. Two modified modulation schemes (256-PSK and binary phase shift keying) are used for the embedding process to compare the effects of the M-ary number used in the system. To improve the system, a genetic algorithm is utilized to obtain the best embedding parameters, which produces the optimal output based on the perceptual quality of the watermarked audio and the robustness of the extracted watermark. Experimental results show that the proposed audio watermarking system produces high-quality watermarked audio while loading a huge amount of data.

Publications: Publications
bottom of page