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Li Siguang and China's Big Discovery of Petroleum

Zhao Wenjing

Strategic Study of CAE 2005, Volume 7, Issue 2, Pages 26-34

Abstract: It pointed out, with full historical materials, that Li Siguang made irreplaceable contribution to China

Keywords： Li Siguang China's oil resource China's big discovery and development of petroleum

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scientific thinking of earthquake prediction from the miss report of Wenchuan Earthquake—re-discussing LiSiguang’s earthquake prediction thought

Zhao Wenjin

Strategic Study of CAE 2009, Volume 11, Issue 6, Pages 4-15

Abstract:

According to the experience and problems of seismic monitoring and earthquake prediction for many years in China, it was discussed the earthquake mechanism, preliminary methods for prediction research and the mechanism and miss report of Wenchuan Earthquake, analyzed prediction precursor of short-term and impending earthquake, seismometry application limitation and ground stress transfer and track, and put forward 9 suggestions for future earthquake prediction.

Keywords： Wenchuan Earthquake earthquake prediction ground stress Li Siguang

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Double-blockchain Assisted Secure and Anonymous Data Aggregation for Fog-enabled Smart Grid Article

Siguang Chen, Li Yang, Chuanxin Zhao, Vijayakumar Varadarajan, Kun Wang

Engineering 2022, Volume 8, Issue 1, Pages 159-169 doi: 10.1016/j.eng.2020.06.018

Abstract:

As a future energy system, the smart grid is designed to improve the efficiency of traditional power systems while providing more stable and reliable services. However, this efficient and reliable service relies on collecting and analyzing users’ electricity consumption data frequently, which induces various security and privacy threats. To address these challenges, we propose a double-blockchain assisted secure and anonymous data aggregation scheme for fog-enabled smart grid named DA-SADA. Specifically, we design a three-tier architecture-based data aggregation framework by integrating fog computing and the blockchain, which provides strong support for achieving efficient and secure data collection in smart grids. Subsequently, we develop a secure and anonymous data aggregation mechanism with low computational overhead by jointly leveraging the Paillier encryption, batch aggregation signature and anonymous authentication. In particular, the system achieves fine-grained data aggregation and provides effective support for power dispatching and price adjustment by the designed double-blockchain and two-level data aggregation. Finally, the superiority of the proposed scheme is illustrated by a series of security and computation cost analyses.

Keywords： Blockchain Fog computing Homomorphic encryption Smart grid Anonymity

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Incentive-Aware Blockchain-Assisted Intelligent Edge Caching and Computation Offloading for IoT Article

Qian Wang, Siguang Chen, Meng Wu

Engineering 2023, Volume 31, Issue 12, Pages 127-138 doi: 10.1016/j.eng.2022.10.014

Abstract:

The rapid development of artificial intelligence has pushed the Internet of Things (IoT) into a new stage. Facing with the explosive growth of data and the higher quality of service required by users, edge computing and caching are regarded as promising solutions. However, the resources in edge nodes (ENs) are not inexhaustible. In this paper, we propose an incentive-aware blockchain-assisted intelligent edge caching and computation offloading scheme for IoT, which is dedicated to providing a secure and intelligent solution for collaborative ENs in resource optimization and controls. Specifically, we jointly optimize offloading and caching decisions as well as computing and communication resources allocation to minimize the total cost for tasks completion in the EN. Furthermore, a blockchain incentive and contribution co-aware federated deep reinforcement learning algorithm is designed to solve this optimization problem. In this algorithm, we construct an incentive-aware blockchain-assisted collaboration mechanism which operates during local training, with the aim to strengthen the willingness of ENs to participate in collaboration with security guarantee. Meanwhile, a contribution-based federated aggregation method is developed, in which the aggregation weights of EN gradients are based on their contributions, thereby improving the training effect. Finally, compared with other baseline schemes, the numerical results prove that our scheme has an efficient optimization utility of resources with significant advantages in total cost reduction and caching performance.

Keywords： Computation offloading Caching Incentive Blockchain Federated deep reinforcement learning

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Jian Li：iScience and Interdisciplinary Research (2020-4-2)

18 Apr 2022

Keywords：工程管理

Li Wei: Thinking and Practice of Agricultural Robots (2020-8-18)

17 Oct 2022

Keywords：农业科学

Li Jinbo: Underground In-situ Rock Mass Information Technology (2021-8-19)

17 Oct 2021

Keywords：国际工程

23 Apr 2021

Keywords：高性能制造

Li Aihua: Development Trends and Suggestions of Nucleic Acid Vaccines (2021-9-3)

15 Oct 2021

Keywords：医学

Li Tengfei: Carbon Cable World - Household Carbon Footprint Analysis Platform (2020-7-11)

19 May 2022

Keywords：环境

Li Xiaonian: Bionic Strategy to Build Catalytic Reaction Microenvironment (2019.5.24)

22 Apr 2021

Keywords：绿色化工

Li Yu: The History and Development of Medicinal Bacteria in China (2019-9-19)

李玉(院士)

20 Jan 2021

Keywords：农业科学

Bai Li: Epidemic Characteristics and Population Exposure Risk of Newly Developed Drug-resistant Salmonella

17 Oct 2022

Keywords：医学

Enhanced electrokinetic remediation of chromium-contaminated soil using approaching anodes

Shucai LI, Tingting LI, Gang LI, Fengmei LI, Shuhai GUO

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6, Pages 869-874 doi: 10.1007/s11783-012-0437-4

Abstract: As a new technology used for the cleaning of chromium-contaminated soil, worldwide interest in eletrokinetic (EK) remediation has grown considerably in recent times. However, owing to the fact that chromium exists as both cationic and anionic species in the soil, it is not an efficient method. This paper reports upon a study in which a process using approaching anodes (AAs) was used to enhance the removal efficiency of chromium by eletrokinetics. Two bench-scale experiments to remove chromium from contaminated soil were performed, one using a fixed anode (FA) and the other using AAs. In the AAs experiment, the anode moved toward the cathode by 7 cm every three days. After remediation, soil pH, total chromium, and fractionation of chromium in the soil were determined. The average removal efficiency of total chromium was 11.32% and 18.96% in the FA and AAs experiments, respectively. After remediation, acidic soil conditions throughout the soil were generated through the use of AAs, while 80% of the soil remained neutral or alkalic when using the FA approach. The acidic soil environment and high field intensity in the AAs experiment might have favored chromium desorption, dissolution and dissociation from the soil, plus the mobility of chromium in the soil was also enhanced. The results demonstrate that AAs used in the process of EK remediation can enhance the efficiency of chromium removal from soil.

Keywords： approaching anodes chromium-contaminated soil electrokinetics chromium fractionation