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Tahir Cetin Akinci, Nazmi Ekren
Pág. 273 - 279
Ferroresonance is an electrical phenomenon in nonlinear character, which frequently occurs in power systems containing saturable transformers and single or more-phase switching on the lines for the disjunction of the loads. In this study, the ferroresona...
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Guozheng Yuan, Chunlin Ning, Lin Liu, Chao Li, Yanliang Liu, Chalermrat Sangmanee, Xuerong Cui, Jinkai Zhao, Jiuke Wang and Weidong Yu
The application of internal wave recognition to the buoy system is of great significance to enhance the understanding of the ocean internal wave phenomenon and provide more accurate data and information support. This article proposes an automatic interna...
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Yang Chen, Kexin Liu, Sijun Jiang, Yiqun Sun and Hui Chen
The system differential response method for inverse estimation has received much attention in the hydrology literature. However, its underlying mechanisms remain largely unexplored, highlighting the need for this study. This study proposes the relation d...
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Mingyu Zhang, Fei Gao, Wuping Yang and Haoran Zhang
In this paper, we propose a wildlife detection algorithm based on improved YOLOv5s by combining six real wildlife images of different sizes and forms as datasets. Firstly, we use the RepVGG model to simplify the network structure that integrates the idea...
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Zhaobin Duan, Xidan Cao, Fangyu Hu, Peng Wang, Xi Chen and Lei Dong
Traditional methods are unable to effectively assess the health status of engine bleed air systems. To address the limitation, this paper proposes a methodology for constructing health indicators using multi-level feature extraction. First, this approach...
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Changhong Yu, Ze Zhang and Ming Gao
Industrial control protocol feature extraction is an important way to improve the accuracy and speed of industrial control protocol traffic classification. This paper firstly proposes a keyword feature extraction method for industrial control protocol, a...
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Huagang Li and Bo Liu
Web texts typically undergo the open-ended growth of new relations. Traditional relation extraction methods lack automatic annotation and perform poorly on new relation extraction tasks. We propose an open-domain relation extraction system (ORES) based o...
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Qingze Yu and Yumin Su
Unmanned surface vehicles frequently encounter foggy weather when performing surface object tracking tasks, resulting in low optical image quality and object recognition accuracy. Traditional defogging algorithms are time consuming and do not meet real-t...
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Chen Chen and Ying Li
Safe and efficient berthing is essential to ensure maritime transportation and the safety of ships and ports. Three-dimensional (3D) light detection and ranging (LiDAR) can monitor and support ship berthing because it provides abundant target information...
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Hassan El-Hajj and Matteo Valleriani
The development of the field of digital humanities in recent years has led to the increased use of knowledge graphs within the community. Many digital humanities projects tend to model their data based on CIDOC-CRM ontology, which offers a wide array of ...
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Rasheed Ahmad, Izzat Alsmadi, Wasim Alhamdani and Lo?ai Tawalbeh
Today, deep learning approaches are widely used to build Intrusion Detection Systems for securing IoT environments. However, the models? hidden and complex nature raises various concerns, such as trusting the model output and understanding why the model ...
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Victoria V. Svotina, Maria V. Cherkasova, Andrey I. Mogulkin, Andrey V. Melnikov and Oleg D. Peysakhovich
To develop elements of a system for contact-free transportation of objects in space has now become an urgent task for the contemporary space-related activities. The purpose of work that is presented hereinafter was to conduct ground tests of the ion sour...
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Victoria V. Svotina, Andrey I. Mogulkin and Alexandra Y. Kupreeva
The main purpose of this work is to conduct ground development testing of the ion source intended for use the space debris contactless transportation system. In order to substantiate the operating capability of the developed ion source, its thermal and t...
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João Boné, Mariana Dias, João C. Ferreira and Ricardo Ribeiro
This research is aimed at creating and presenting DisKnow, a data extraction system with the capability of filtering and abstracting tweets, to improve community resilience and decision-making in disaster scenarios. Nowadays most people act as human sens...
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Jose Aguilar, Camilo Salazar, Henry Velasco, Julian Monsalve-Pulido and Edwin Montoya
This paper analyses the capabilities of different techniques to build a semantic representation of educational digital resources. Educational digital resources are modeled using the Learning Object Metadata (LOM) standard, and these semantic representati...
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Jeong-Seok Lee, Woo-Ju Son, Hyeong-Tak Lee and Ik-Soon Cho
A maritime route is used by sea transportation vessels to access the trading ports, and route design standards for the safety of maritime traffic have been established in various countries and organizations. However, no quantitative safety verification m...
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Chairath Sirirattanapol, Masahiko NAGAI, Apichon Witayangkurn, Surachet Pravinvongvuth and Mongkol Ekpanyapong
Information regarding the conditions of roads is a safety concern when driving. In Bangkok, public weather sensors such as weather stations and rain sensors are insufficiently available to provide such information. On the other hand, a number of existing...
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Kyohei Matsumoto, Takafumi Nakanishi, Toshitada Sakawa, Kengo Onodera, Shinichiro Orimo, Hiroyuki Kobayashi
Pág. 366 - 383
In this paper, we present a thinking support system, AI-Josyu. This system also operates as a class support system which helps to teachers for lightening their work. AI-Josyu is implemented based on media-driven real-time content management framework. Th...
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Arvita Agus Kurniasari, Ali Ridho Barakbah, Achmad Basuki
Pág. 223 - 242
The existing image search system often faces difficulty to find a appropriate retrieved image corresponding to an image query. The difficulty is commonly caused by that the usersâ?? intention for searching image is different with dominant information of ...
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Siti Nurmaini, Radiyati Umi Partan, Wahyu Caesarendra, Tresna Dewi, Muhammad Naufal Rahmatullah, Annisa Darmawahyuni, Vicko Bhayyu and Firdaus Firdaus
An automated classification system based on a Deep Learning (DL) technique for Cardiac Disease (CD) monitoring and detection is proposed in this paper. The proposed DL architecture is divided into Deep Auto-Encoders (DAEs) as an unsupervised form of feat...
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