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Detecting Anomalous Trajectories of Workers using Density Method
DOI THI LAN,윤석훈 한국인터넷방송통신학회 2022 International Journal of Internet, Broadcasting an Vol.14 No.2
Workers’ anomalous trajectories allow us to detect emergency situations in the workplace, such as accidents of workers, security threats, and fire. In this work, we develop a scheme to detect abnormal trajectories of workers using the edit distance on real sequence (EDR) and density method. Our anomaly detection scheme consists of two phases: offline phase and online phase. In the offline phase, we design a method to determine the algorithm parameters: distance threshold and density threshold using accumulated trajectories. In the online phase, an input trajectory is detected as normal or abnormal. To achieve this objective, neighbor density of the input trajectory is calculated using the distance threshold. Then, the input trajectory is marked as an anomaly if its density is less than the density threshold. We also evaluate performance of the proposed scheme based on the MIT Badge dataset in this work. The experimental results show that over 80 % of anomalous trajectories are detected with a precision of about 70 %, and F1-score achieves 74.68 %.
Study on Delay Time Evaluation for Carrier Relay System Using IP Communications Technology
Doi, Hiroki,Shioyama, Takuto,Fujikawa, Fuyuki,Serizawa, Yoshizumi The Korean Institute of Electrical Engineers 2013 The Journal of International Council on Electrical Vol.3 No.3
The transmission devices of carrier relay system use exclusive transmission devices and do not use IP (Internet Protocol) communications technology. But the IP communications technology has made remarkable advances recently and is used in the world. If Internet technology can adapt for the transmission device of carrier relay system, electric power company can construct the integration network for power protection and control system which includes carrier relay system. In this report, we will assume the network configuration using Internet technology for the transmission devices of a carrier relay system and show that the transmission devices using Internet technology satisfy the carrier relay specification, such as delay time and differential delay time.
Doi, Yoji,Takai, Azusa,Sakamoto, Yasuhiro,Terasaki, Osamu,Yamauchi, Yusuke,Kuroda, Kazuyuki Royal Society of Chemistry 2010 Chemical communications Vol.46 No.34
<P>We demonstrate facile synthesis of mesoporous Pt replicas using double gyroid mesoporous silica (KIT-6) with different pore diameters <I>via</I> vapor infiltration of a reducing agent. Through controlling the complementary pore size, it becomes possible to selectively deposit Pt into one side pore of the <I>Ia</I>3&cmb.macr;<I>d</I> bicontinuous structure, thereby forming a mesoporous Pt replica with relatively large mesopores (over 10 nm).</P> <P>Graphic Abstract</P><P>Through controlling the complementary pore size, it becomes possible to selectively deposit Pt into one side pore of bicontinuous structure. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c0cc01196g'> </P>
Detecting Abnormal Human Movements Based on Variational Autoencoder
DOI THI LAN,윤석훈 한국인터넷방송통신학회 2023 International Journal of Internet, Broadcasting an Vol.15 No.3
Anomaly detection in human movements can improve safety in indoor workplaces. In this paper, we design a framework for detecting anomalous trajectories of humans in indoor spaces based on a variational autoencoder (VAE) with Bi-LSTM layers. First, the VAE is trained to capture the latent representation of normal trajectories. Then the abnormality of a new trajectory is checked using the trained VAE. In this step, the anomaly score of the trajectory is determined using the trajectory reconstruction error through the VAE. If the anomaly score exceeds a threshold, the trajectory is detected as an anomaly. To select the anomaly threshold, a new metric called D-score is proposed, which measures the difference between recall and precision. The anomaly threshold is selected according to the minimum value of the D-score on the validation set. The MIT Badge dataset, which is a real trajectory dataset of workers in indoor space, is used to evaluate the proposed framework. The experiment results show that our framework effectively identifies abnormal trajectories with 81.22% in terms of the F1-score.