[논문]IoT and Smart City Technology: Challenges, Opportunities, and Solutions

Jeong, Young-Sik; Park, Jong Hyuk

doi:10.3745/jips.04.0113

IoT and Smart City Technology: Challenges, Opportunities, and Solutions 원문보기

Journal of information processing systems, v.15 no.2, 2019년, pp.233 - 238

Jeong, Young-Sik (Dept. of Multimedia Engineering, Dongguk University) , Park, Jong Hyuk (Dept. of Computer Science and Engineering, Seoul National University of Science & Technology (SeoulTech))

Abstract ▼ AI-Helper

Internet of Things (IoT) technology has been recently utilized in diverse fields. Smart city is one of the IoT application domains with a lot of research topics and which is operated by integrated IoT applications. In this paper, diverse kinds of solutions, processes, and frameworks to address the existing challenges in information technology are introduced. Such solutions involve various future track topics including blockchain, security, steganography, optimization, machine learning, smart system, and so on. In the subsequent paragraphs, we describe each topic in a summarized way in terms of the existing challenges and their solutions. Specifically, this paper introduced 18 novel and enhanced research studies from different countries in the world. We present diverse kinds of paradigms to subjects that tackle diverse kinds of research areas such as IoT and Smart City, and so on.

주제어

AI 본문요약
AI-Helper

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문제 정의

Haridoss and Punniyakodi [5] suggested the implementation of opposition-based improved harmony search algorithm in histogram-based multilevel thresholding for the compression of medical MRI and CT images. The proposed concept addresses the problem of loss of preservation of original content and development of artefacts at high compression ratio. The proper selection of entropy combined with the number of thresholds selected in the reconstruction of the compressed images maintains the important information present in the images.
[16] studied the artificial bee colony (ABC) algorithm that adopts scouts, onlooker bees, and employed bees to support first-rate exploration ability. The study pointed out the issue of slow convergence speed due to greedy search and one-dimension strategy. To overcome this issue, the author introduced an artificial bee colony algorithm with special division and intellective search (ABCIS).

제안 방법

[3] proposed steganography protocols to safeguard secret digital documents against any unauthorized access by hiding the entire content. The approach includes a block-wise embedding process of blocks of varying sizes chosen from the cover image. To minimize the error rate, the optimal pixel adjustment process is implemented.
[6] proposed the use of grey relational analysis for a precise forecast index system. The prediction model was built using a combination of back-propagation neural networks and support vector machines for superior accuracy compared to existing methods. The test results show maximum error rate of 1.
The convolution of FIR filter banks is optimized by introducing the AFS technique. The proposed design was experimentally evaluated using an intellectual property (IP) logic core that demonstrated the efficiency of DWPT in terms of hardware resource utilization with acceptable accuracy.
[13] addressed the challenges of reconstruction of 3D human pose from a single-view image and proposed an innovative spatial-temporal 3D human pose reconstruction framework to process the 3D human pose reconstruction efficiently. The proposed framework relies on inter- and intra-frame relationships in the context of the sequence of the 2D pose. The proposed framework was evaluated and compared with recent works by employing it over the dataset of CMU motion capture.
The proposed framework relies on inter- and intra-frame relationships in the context of the sequence of the 2D pose. The proposed framework was evaluated and compared with recent works by employing it over the dataset of CMU motion capture. The evaluation results demonstrated that the proposed framework is robust over Gaussian noise, and that it lowers the Euclidean reconstruction error.
Along with this statement, the authors introduced a hybrid kernel function by combining two single kernel functions of learning and generalization abilities. The proposed work was experimentally tested over single- and multiple-power quality disturbances, showing that it obtained better performance compared to that of other support vector machines.
The study pointed out the issue of slow convergence speed due to greedy search and one-dimension strategy. To overcome this issue, the author introduced an artificial bee colony algorithm with special division and intellective search (ABCIS). The proposed methods adopt different search strategies according to different employed bees and onlooker bees for higher efficiency of food source research.

이론/모형

[10] proposed two incremental fuzzy compactness and separation clustering (FCS) algorithms, single-pass and online FCS, to enable storage of large-scale clustered datasets within limited memory. The proposed methods are first combined separately with the weighted fuzzy C-means algorithm, and then applied to the FCS algorithm. The proposed algorithm experiments on artificial and real datasets show that they are more robust for the fuzzy index m value and noise than the existing methods.

성능/효과

The proposed framework was evaluated and compared with recent works by employing it over the dataset of CMU motion capture. The evaluation results demonstrated that the proposed framework is robust over Gaussian noise, and that it lowers the Euclidean reconstruction error.
Zhang and Han [4] proposed an audio watermarking scheme with improvements in terms of endurance against desynchronization attacks, audibility, and increased imperceptibility of the scheme over the original scheme for robust audio watermarking. The test results indicate that the proposed scheme maintains high audio quality, resistance to attacks such as additive white Gaussian noise, resampling, compression, and jitter and has low false alarm rate and better search efficiency.
The prediction model was built using a combination of back-propagation neural networks and support vector machines for superior accuracy compared to existing methods. The test results show maximum error rate of 1.5%, illustrating minimum accurate prediction of 98.5%.
The proposed mechanism was realized and tested over a Chinese metrological data network. The testing results demonstrated that the proposed mechanism improves the accuracy of the dynamic rating and reduces the cost of the environmental measurement device.

참고문헌 (18)

M. Kubendiran, S. Singh, and A. K. Sangaiah, "Enhanced security framework for e-health systems using blockchain," Journal of Information Processing Systems, vol. 15, no. 2, pp. 239-250, 2019. https://doi.org/10.3745/JIPS.04.0106

원문보기 상세보기
L. Chen, Y. Zhang, Y. Li, and L. Xia, "Research on finite-time consensus of multi-agent systems," Journal of Information Processing Systems, vol. 15, no. 2, pp. 251-260, 2019. https://doi.org/10.3745/JIPS.01.0039

원문보기 상세보기
T. Halder, S. Karforma, and R. Mandal, "A block-based adaptive data hiding approach using pixel value difference and LSB substitution to secure e-governance documents," Journal of Information Processing Systems, vol. 15, no. 2, pp. 261-270, 2019. https://doi.org/10.3745/JIPS.03.0111

원문보기 상세보기
J. Zhang and B. Han, "A synchronization scheme based on moving average for robust audio watermarking," Journal of Information Processing Systems, vol. 15, no. 2, pp. 271-287, 2019. https://doi.org/10.3745/JIPS.03.0112

원문보기 상세보기
R. Haridoss and S. Punniyakodi, "Compression and enhancement of medical images using opposition based harmony search algorithm," Journal of Information Processing Systems, vol. 15, no. 2, pp. 288-304, 2019. https://doi.org/10.3745/JIPS.02.0108

원문보기 상세보기
M. J. Ding, S. Z. Zhang, H. D. Zhong, Y. H. Wu, and L. B. Zhang, "A prediction model of the sum of container based on combined BP neural network and SVM," Journal of Information Processing Systems, vol. 15, no. 2, pp. 305-319, 2019. https://doi.org/10.3745/JIPS.04.0107

원문보기 상세보기
O. H. Kang, "Analysis of the sociality and democratic-citizenship changes from the application of the Scratch remix function in cooperative learning," Journal of Information Processing Systems, vol. 15, no. 2, pp. 320-330, 2019. https://doi.org/10.3745/JIPS.04.0108

원문보기 상세보기
X. Zhou, Y. Wang, X. Zhou, W. Tao, Z. Niu, and A. Qu, "Uncertainty analysis of dynamic thermal rating of overhead transmission line," Journal of Information Processing Systems, vol. 15, no. 2, pp. 331-343, 2019. https://doi.org/10.3745/JIPS.04.0109

원문보기 상세보기
J. Yu and K. M. Lee, "Multi-person tracking using SURF and background subtraction for surveillance," Journal of Information Processing Systems, vol. 15, no. 2, pp. 344-358, 2019. https://doi.org/10.3745/JIPS.02.0109

원문보기 상세보기
Y. Liu, H. Wang, T. Duan, J. Chen, and H. Chao, "Incremental fuzzy clustering based on a fuzzy scatter matrix," Journal of Information Processing Systems, vol. 15, no. 2, pp. 359-373, 2019. https://doi.org/10.3745/JIPS.01.0040

원문보기 상세보기
H. N. Nguyen, C. H. Kim, and J. M. Kim, "Optimization of pipelined discrete wavelet packet transform based on an efficient transpose form and an advanced functional sharing technique," Journal of Information Processing Systems, vol. 15, no. 2, pp. 374-385, 2019. https://doi.org/10.3745/JIPS.01.0041

원문보기 상세보기
Z. Sun, Z. Yan, L. Liang, R. Wei, and W. Wang, "Dynamic thermal rating of transmission line based on environmental parameter estimation," Journal of Information Processing Systems, vol. 15, no. 2, pp. 386-398, 2019. https://doi.org/10.3745/JIPS.04.0110

원문보기 상세보기
X. T. Nguyen, T. D. Ngo, and T. H. Le, "A spatial-temporal Three-Dimensional human pose reconstruction framework," Journal of Information Processing Systems, vol. 15, no. 2, pp. 399-409, 2019. https://doi.org/10.3745/JIPS.02.0110

원문보기 상세보기
X. Chen, Y. Zhang, and R. Qi, "Block sparse signals recovery algorithm for distributed compressed sensing reconstruction," Journal of Information Processing Systems, vol. 15, no. 2, pp. 410-421, 2019. https://doi.org/10.3745/JIPS.04.0111

원문보기 상세보기
L. Zhao and M. Gai, "Power quality disturbances identification method based on novel hybrid kernel function," Journal of Information Processing Systems, vol. 15, no. 2, pp. 422-432, 2019. https://doi.org/10.3745/JIPS.04.0112

원문보기 상세보기
H. Huang, M. Zhu, and J. Wang, "An improved artificial bee colony algorithm based on special division and intellective search," Journal of Information Processing Systems, vol. 15, no. 2, pp. 433-439, 2019. https://doi.org/10.3745/JIPS.02.0111

원문보기 상세보기
J. Choi and S. Ahn, "Scalable service placement in the fog computing environment for the IoT-based Smart City," Journal of Information Processing Systems, vol. 15, no. 2, pp. 440-448, 2019. https://doi.org/10.3745/JIPS.03.0113

원문보기 상세보기
D. M. Park, S. K. Kim, and Y. S. Seo, "S-mote: SMART home framework for common household appliances in IoT network," Journal of Information Processing Systems, vol. 15, no. 2, pp. 449-456, 2019. https://doi.org/10.3745/JIPS.03.0114

원문보기 상세보기

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