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Wyświetlanie 1-3 z 3
Tytuł:
Underwater Explosion Performance of RDX/AP-based Aluminized Explosives
Autorzy:
Xiang, D.
Rong, J.
He, X.
Feng, Z.
Powiązania:
https://bibliotekanauki.pl/articles/358616.pdf
Data publikacji:
2017
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Przemysłu Organicznego
Tematy:
UNDEX
RDX/AP-based aluminized explosives
detonation
shock wave
Al/O ratio
Opis:
To understand the underwater explosion (UNDEX) performance of RDX/AP-based aluminized explosives, six formulations of the explosives were prepared, with Al content varying from 30% to 55% and ammonium perchlorate (AP) content from 45% to 20%. A series of UNDEX tests that used a 1 kg cylindrical charge was conducted underwater at a depth of 4.7 m. The pressure histories of the shock wave produced at different positions and the bubble periods were measured. The coefficients of the similarity law equation for the shock wave parameters were fitted with experimental data. The effect of the aluminum/oxygen (Al/O) ratio on the performance of the energy output structure for RDX/AP-based aluminized explosives is discussed. The bubble motion during UNDEX was simulated using MSC.DYTRAN software, and the radius-time curves of the bubbles were determined. The results show that AP influences the detonation reaction mechanism of RDX/AP-based aluminized explosives, which causes different UNDEX performances. The bubble energy of the RDX/AP-based aluminized explosive was higher than that of RDX-based and HMX-based aluminized explosives.
Źródło:
Central European Journal of Energetic Materials; 2017, 14, 1; 60-76
1733-7178
Pojawia się w:
Central European Journal of Energetic Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Two-stage classification approach for human detection in camera video in bulk ports
Autorzy:
Mi, C.
Zhang, Z.
He, X.
Huang, Y.
Mi, W.
Powiązania:
https://bibliotekanauki.pl/articles/259499.pdf
Data publikacji:
2015
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
Human Detection
Histograms of Oriented Gradients
Support Vector Machine
classification
Opis:
With the development of automation in ports, the video surveillance systems with automated human detection begun to be applied in open-air handling operation areas for safety and security. The accuracy of traditional human detection based on the video camera is not high enough to meet the requirements of operation surveillance. One of the key reasons is that Histograms of Oriented Gradients (HOG) features of the human body will show great different between front & back standing (F&B) and side standing (Side) human body. Therefore, the final training for classifier will only gain a few useful specific features which have contribution to classification and are insufficient to support effective classification, while using the HOG features directly extracted by the samples from different human postures. This paper proposes a two-stage classification method to improve the accuracy of human detection. In the first stage, during preprocessing classification, images is mainly divided into possible F&B human body and not F&B human body, and then they were put into the second-stage classification among side human and non-human recognition. The experimental results in Tianjin port show that the two-stage classifier can improve the classification accuracy of human detection obviously.
Źródło:
Polish Maritime Research; 2015, S 1; 163-170
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Energy-aware key management in mobile wireless sensor networks
Autorzy:
He, X.
Szalachowski, P.
Kotulski, Z.
Fotiou, N.
Marias, G. F.
Polyzos, G. C.
Meer de, H.
Powiązania:
https://bibliotekanauki.pl/articles/106190.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
wireless sensor networks
Diffie-Hellman key agreement
key management
Opis:
Wireless sensor networks have received wide attention recently across the indoor and outdoor applications. On the other hand, more and more application scenarios require sensor nodes to be mobile, which imposes new technological challenges for security. Key management is the core for secure data communications among the resource-constrained sensor nodes. In this paper, based on the Group Diffie-Hellman key agreement protocols and the energy level of each node in the network, we propose Energy Aware Group Diffie-Hellman key management protocol for mobile wireless sensor networks. The simulation results show that the proposed key management protocol provide significant improvement in maximizing the lifetime of networks.
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2012, 12, 4; 83-96
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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