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Waseda University, Japan

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2 Papers

Bioremediation of Antimony and Arsenic Co-contamination from Antimony Mining Area with Sulfate-reducing Bacteria

Authors: Juan Zhong ^{1

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2

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3

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4} , Xiaokui Che ^{2

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3

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4} , Xinglan Cui ^{3

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4} , Hongxia Li ^{3

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4} , Qidong Zhang ^{3

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4} , Lei Wang ^{3

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4} , Qi Zheng ^{3

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4} and Xuewu Hu ^{3

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4

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5}

Affiliations: ¹ GRIMAT Engineering Institute Co., Ltd., Beijing, 101407, China , ² GRINM Group Corporation Limited, Beijing 100088, China , ³ GRINM Resources and Environment Tech. Co., Ltd., Beijing, 101407, China , ⁴ National Engineering Laboratory of Biohydrometallurgy, GRINM Group Co., Ltd., Beijing, 100088, China , ⁵ School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, 100083, China

Digital Object Identifier: 10.5220/0011381600003443

Proceedings of ICBEB 2022, ISBN: 978-989-758-595-1

Quick Abstract

The contamination of antimony (Sb) and arsenic (As) in the soil of antimony mining area is the most common pollutant. Metal sulfide precipitation by sulfate-reducing bacteria (SRB) is considered to be a promising method. In this work, antimony and arsenic contaminated soil from an antimony mining area was treated by the application of a mixed culture of SRB. The soil samples initially contained the concentration of 17550 mg/kg Sb and 3231 mg/kg As, and the leaching concentration exceeds the groundwater IV standard. Changes of Eh, pH, aqueous Sb and as were monitored over 50 days in this experiment. The results indicated that SRB was able to increase the pH value and decrease the redox potential of the solution. When the SRB was growing well in the system, the high concentration of Sb in the solution was reduced from 7.8 mg/L to less than 0.5 mg/L. However, As showed a completely opposite trend to antimony. The presence of SRB can promote the release of as from contaminated soil, and the concentration of As will gradually decrease when the activity of SRB decreased. This work demonstrates that SRB can trigger the release of Sb, while as caused the opposite effect.

AN ADAPTIVE SPATIAL ERROR CONCEALMENT FOR H.264/AVC VIDEO STREAM

Topic: Error Control and Concealment

Authors: Jun Wang , Lei Wang , Takeshi Ikenaga and Satoshi Goto

Affiliation: Graduate School of Information, Production and Systems, Waseda University, Japan

Digital Object Identifier: 10.5220/0001937400230028

Proceedings of SIGMAP 2008/ICETE, ISBN: 978-989-8111-60-9

Quick Abstract

Transmission of compressed video over error prone channels may result in packet losses or errors, which can significantly degrade the image quality. Therefore an error concealment scheme is applied at the video receiver side to mask the damaged video. Considering there are 3 types of MBs (Macro Blocks) in natural video frame, i.e., Textural MB, Edged MB, and Smooth MB, this paper proposes an adaptive spatial error concealment which can choose 3 different methods for these 3 different MBs. For criteria of choosing appropriate method, 2 factors are taken into consideration. Firstly, standard deviation of our proposed edge statistical model is exploited. Secondly, some new features of latest video compression standard H.264/AVC, i.e., intra prediction mode is also considered for criterion formulation. Compared with previous works, which are only based on deterministic measurement, proposed method achieves the best image recovery. Subjective and objective image quality evaluations in experiments confirmed this.

Related Ontology Subjects/Areas/Topics (4)

Error Control and Concealment		Multimedia and Communications		Telecommunications
Multimedia

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