STUDY ON THE PHOTOCATALYTIC DEGRADATION OF DICLOFENAC AND SULCOTRIONE IN SOME LAKE WATER SUBSTRATES IN HANOI

Joint Research on Environmental Science and Technology for the Eart

Physical compositions of municipal solid waste and recyclable waste discharged from households in Hanoi, Vietnam

Joint Research on Environmental Science and Technology for the Eart

STUDY ON APPLICABILITY OF THE CONTACT OXIDATION PROCESS IN REMOVAL OF ORGANIC POLLUTANTS FROM TEXTILE WASTEWATER

Joint Research on Environmental Science and Technology for the Eart

STUDY ON TREATMENT OF THE LEACHATE FROM LANDFILL SITE AT NAMSON, SOCSON, HANOI

Joint Research on Environmental Science and Technology for the Eart

Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach

To ensure that the data aggregation, data storage, and data processing are all performed in a decentralized but trusted manner, we propose to use the blockchain with the mining pool to support IoT services based on cognitive radio networks. As such, the secondary user can send its sensing data, i.e., transactions, to the mining pools. After being verified by miners, the transactions are added to the blocks. However, under the dynamics of the primary channel and the uncertainty of the mempool state of the mining pool, it is challenging for the secondary user to determine an optimal transaction transmission policy. In this paper, we propose to use the deep reinforcement learning algorithm to derive an optimal transaction transmission policy for the secondary user. Specifically, we adopt a Double Deep-Q Network (DDQN) that allows the secondary user to learn the optimal policy. The simulation results clearly show that the proposed deep reinforcement learning algorithm outperforms the conventional Q-learning scheme in terms of reward and learning speed

COLOR AND COD REMOVAL OF DYEING WASTEWATER BY COMBINATION TREATMENT OF COAGULATION AND FENTON OXIDATION

Joint Research on Environmental Science and Technology for the Eart

Septic Tanks need Urgent Improvement for Management of Urban Sanitation in Hanoi Vietnam

Joint Research on Environmental Science and Technology for the Eart

SONOCHEMICAL DEGRADATION OF CARBON TETRACHLORIDE IN AQUEOUS SOLUTION AT TWO FREQUENCIES : 200KHZ AND 600KHZ, 200W ACOUSTIC POWER

Joint Research on Environmental Science and Technology for the Eart