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Selected Papers from the IEEE International Conference on Consumer Electronics—Taiwan...
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Selected Papers from the IEEE International Conference on Consumer Electronics—Taiwan (IEEE 2020 ICCE-TW)

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".

Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 10716

Special Issue Editors

Prof. Dr. Tsung-Han Tsai

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Central University, Taoyuan City, Taiwan
Interests: Research interests: intelligent audio coding; intelligent video coding; smart home on IoT; multimedia signal processing; SOC (system on chip)
Prof. Dr. Po-Chyi Su

E-Mail Website
Guest Editor
Department of Computer Science & Information Engineering, National Central University, Taoyuan City, Taiwan
Interests: multimedia signal processing; image and video coding; multimedia security; artificial intelligence

Special Issue Information

Dear Colleagues,

The IEEE International Conference on Consumer Electronics—Taiwan (IEEE 2020 ICCE-TW) will take place in Taoyuan, Taiwan, 28–30 September 2020. Over the years, the ICCE-TW conference has continuously provided a platform for experts, scholars, and researchers from all over the world to convene and share novel ideas on consumer electronics. Authors of selected papers are invited to submit extended versions (at least 50% of their submissions) of their original papers and contributions regarding the following topics:

  • Biomedical sensors and actuators;
  • Consumer electronics devices for sensors and actuators;
  • Healthcare sensors and actuators;
  • Internet of Things (IoT) and artificial intelligence (AI) techniques;
  • Mobile ad-hoc and wireless sensor networks;
  • Sensor applications on autonomous cars;
  • Sensor applications on computer communication techniques;
  • Sensor applications on multimedia techniques.

Prof. Dr. Tsung-Han Tsai

Prof. Dr. Po-Chyi Su

Guest Editors

 

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence (AI)
  • autonomous car
  • biomedical sensors
  • computer communication
  • healthcare
  • Internet of Things (IoT)
  • multimedia techniques
  • sensor networks

Published Papers (4 papers)

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Research

11 pages, 3063 KiB  
Article
Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder
by Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama
Sensors 2021, 21(6), 2045; https://doi.org/10.3390/s21062045 - 14 Mar 2021
Cited by 2 | Viewed by 2163
Abstract
A new method for the detection of important scenes in baseball videos via a time-lag-aware multimodal variational autoencoder (Tl-MVAE) is presented in this paper. Tl-MVAE estimates latent features calculated from tweet, video, and audio features extracted from tweets and videos. Then, important scenes [...] Read more.
A new method for the detection of important scenes in baseball videos via a time-lag-aware multimodal variational autoencoder (Tl-MVAE) is presented in this paper. Tl-MVAE estimates latent features calculated from tweet, video, and audio features extracted from tweets and videos. Then, important scenes are detected by estimating the probability of the scene being important from estimated latent features. It should be noted that there exist time-lags between tweets posted by users and videos. To consider the time-lags between tweet features and other features calculated from corresponding multiple previous events, the feature transformation based on feature correlation considering such time-lags is newly introduced to the encoder in MVAE in the proposed method. This is the biggest contribution of the Tl-MVAE. Experimental results obtained from actual baseball videos and their corresponding tweets show the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Selected Papers from the IEEE International Conference on Consumer Electronics—Taiwan (IEEE 2020 ICCE-TW))
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17 pages, 3819 KiB  
Article
DDoS Flood and Destination Service Changing Sensor
by Fu-Hau Hsu, Chia-Hao Lee, Chun-Yi Wang, Rui-Yi Hung and YungYu Zhuang
Sensors 2021, 21(6), 1980; https://doi.org/10.3390/s21061980 - 11 Mar 2021
Cited by 5 | Viewed by 2353
Abstract
In this paper, we aim to detect distributed denial of service (DDoS) attacks, and receive a notification of destination service, changing immediately, without the additional efforts of other modules. We designed a kernel-based mechanism to build a new Transmission Control Protocol/Internet Protocol (TCP/IP) [...] Read more.
In this paper, we aim to detect distributed denial of service (DDoS) attacks, and receive a notification of destination service, changing immediately, without the additional efforts of other modules. We designed a kernel-based mechanism to build a new Transmission Control Protocol/Internet Protocol (TCP/IP) connection smartly by the host while the users or clients not knowing the location of the next host. Moreover, we built a lightweight flooding attack detection mechanism in the user mode of an operating system. Given that reinstalling a modified operating system on each client is not realistic, we managed to replace the entry of the system call table with a customized sys_connect. An effective defense depends on fine detection and defensive procedures. In according with our experiments, this novel mechanism can detect flooding DDoS successfully, including SYN flood and ICMP flood. Furthermore, through cooperating with a specific low cost network architecture, the mechanism can help to defend DDoS attacks effectively. Full article
(This article belongs to the Special Issue Selected Papers from the IEEE International Conference on Consumer Electronics—Taiwan (IEEE 2020 ICCE-TW))
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28 pages, 14669 KiB  
Article
Siamese Networks-Based People Tracking Using Template Update for 360-Degree Videos Using EAC Format
by Kuan-Chen Tai and Chih-Wei Tang
Sensors 2021, 21(5), 1682; https://doi.org/10.3390/s21051682 - 1 Mar 2021
Cited by 1 | Viewed by 2426
Abstract
Rich information is provided by 360-degree videos. However, non-uniform geometric deformation caused by sphere-to-plane projection significantly decreases tracking accuracy of existing trackers, and the huge amount of data makes it difficult to achieve real-time tracking. Thus, this paper proposes a Siamese networks-based people [...] Read more.
Rich information is provided by 360-degree videos. However, non-uniform geometric deformation caused by sphere-to-plane projection significantly decreases tracking accuracy of existing trackers, and the huge amount of data makes it difficult to achieve real-time tracking. Thus, this paper proposes a Siamese networks-based people tracker using template update for 360-degree equi-angular cubemap (EAC) format videos. Face stitching overcomes the problem of content discontinuity of the EAC format and avoids raising new geometric deformation in stitched images. Fully convolutional Siamese networks enable tracking at high speed. Mostly important, to be robust against combination of non-uniform geometric deformation of the EAC format and partial occlusions caused by zero padding in stitched images, this paper proposes a novel Bayes classifier-based timing detector of template update by referring to the linear discriminant feature and statistics of a score map generated by Siamese networks. Experimental results show that the proposed scheme significantly improves tracking accuracy of the fully convolutional Siamese networks SiamFC on the EAC format with operation beyond the frame acquisition rate. Moreover, the proposed score map-based timing detector of template update outperforms state-of-the-art score map-based timing detectors. Full article
(This article belongs to the Special Issue Selected Papers from the IEEE International Conference on Consumer Electronics—Taiwan (IEEE 2020 ICCE-TW))
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9 pages, 2884 KiB  
Communication
Digitally Controlled Oscillator with High Timing Resolution and Low Complexity for Clock Generation
by Duo Sheng, Wei-Yen Chen, Hao-Ting Huang and Li Tai
Sensors 2021, 21(4), 1377; https://doi.org/10.3390/s21041377 - 16 Feb 2021
Cited by 3 | Viewed by 2724
Abstract
This paper presents a digitally controlled oscillator (DCO) with a low-complexity circuit structure that combines multiple delay circuits to achieve a high timing resolution and wide output frequency range simultaneously while also significantly reducing the overall power consumption. A 0.18 µm complementary metal–oxide–semiconductor [...] Read more.
This paper presents a digitally controlled oscillator (DCO) with a low-complexity circuit structure that combines multiple delay circuits to achieve a high timing resolution and wide output frequency range simultaneously while also significantly reducing the overall power consumption. A 0.18 µm complementary metal–oxide–semiconductor standard process was used for the design, and measurements showed that the chip had a minimum controllable timing resolution of 4.81 ps and power consumption of 142 µW with an output signal of 364 MHz. When compared with other designs using advanced processes, the proposed DCO demonstrated the best power-to-frequency ratio. Therefore, it can output a signal at the required frequency more efficiently in terms of power consumption. Additionally, because the proposed DCO uses digital logic gates only, a cell-based design flow can be implemented. Hence, the proposed DCO is not only easy to implement in different processes but also easy to integrate with other digital circuits. Full article
(This article belongs to the Special Issue Selected Papers from the IEEE International Conference on Consumer Electronics—Taiwan (IEEE 2020 ICCE-TW))
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