Guowei Ling
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Degassing N2 from the Direct Oxidation of Total Ammonia in Mariculture Using a Three-Dimensional Electrode System Open
Elevated levels of total ammonia nitrogen (TAN) are recognized as a primary contributor to acute toxicity in aquatic organisms across freshwater aquaculture and mariculture environments. Existing technologies for TAN removal from wastewate…
View article: Effects of Supplemental Antioxidative Substances on Micronutrient Retention and Antioxidative Capacity in Rapeseed Oil During Low-Temperature Ethanol Steam Deodorization
Effects of Supplemental Antioxidative Substances on Micronutrient Retention and Antioxidative Capacity in Rapeseed Oil During Low-Temperature Ethanol Steam Deodorization Open
This study investigated the effects of four antioxidative substances, α-tocopherol (α-TP), phytosterols (PS), squalene (SQ), and propyl gallate (PG), on micronutrient retention and antioxidative capacity of rapeseed oil during ethanol stea…
Mechanism and Regulation of Tea Saponin Extraction from C. oleifera Seed Meal in Subcritical Water Open
Tea saponins are excellent natural surfactants, and previous studies on their extraction from C. oleifera seed meals in subcritical water have mainly focused on the optimization of external extraction conditions. In order to achieve the ef…
Distributed decision making for unmanned aerial vehicle inspection with limited energy constraint Open
The unsatisfactory energy density of the state-of-art batteries imposes constraints on the practical application of unmanned aerial vehicles (UAVs). Establishing a UAV airport network that integrates energy supply and information exchange …
Enhanced Channel Estimation for RIS-assisted OTFS Systems by Introducing ELM Network Open
In high-mobility communication scenarios, leveraging reconfigurable intelligent surfaces (RIS) to assist orthogonal time frequency space (OTFS) systems proves advantageous. However, the integration of RIS into OTFS systems has added comple…
View article: IHVFL: a privacy-enhanced intention-hiding vertical federated learning framework for medical data
IHVFL: a privacy-enhanced intention-hiding vertical federated learning framework for medical data Open
Vertical Federated Learning (VFL) has many applications in the field of smart healthcare with excellent performance. However, current VFL systems usually primarily focus on the privacy protection during model training, while the preparatio…
Accuracy Improvement of Knowledge Transfer from Private Training Data with PATE Open
Some machine learning applications involve sensitive training data, such as the medical histories of patients in a clinical trial. A model may inadvertently and implicitly store some training data and careful analysis of the model may reve…
Superimposed Pilot-based Channel Estimation for RIS-Assisted IoT systems Using Lightweight Network Open
Channel estimation (CE) in Internet of Things (IoT) systems faces challenges of low spectral efficiency, high energy consumption, and blocked propagation paths.To address these issues, this paper proposes a superimposed pilot-based CE sche…
A Zn-based catalyst with high oxygen reduction activity and anti-poisoning property for stable seawater batteries Open
Seawater batteries (SWBs) are a key part of the future underwater energy network for maritime safety and resource development due to their high safety, long lifespan, and eco-friendly nature. However, the complicated seawater composition a…
Superimposed Pilot-based Channel Estimation for RIS-Assisted IoT Systems Using Lightweight Networks Open
Conventional channel estimation (CE) for Internet of Things (IoT) systems encounters challenges such as low spectral efficiency, high energy consumption, and blocked propagation paths. Although superimposed pilot-based CE schemes and the r…
Transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots Open
Data-nulling superimposed pilot (DNSP) effectively alleviates the superimposed interference of superimposed training (ST)-based channel estimation (CE) in orthogonal frequency division multiplexing (OFDM) systems, while facing the challeng…
View article: Multi-Party Verifiable Privacy-Preserving Federated k-Means Clustering in Outsourced Environment
Multi-Party Verifiable Privacy-Preserving Federated k-Means Clustering in Outsourced Environment Open
As a commonly used algorithm in data mining, clustering has been widely applied in many fields, such as machine learning, information retrieval, and pattern recognition. In reality, data to be analyzed are often distributed to multiple par…
Demystifying the catalysis in lithium–sulfur batteries: Characterization methods and techniques Open
Lithium–sulfur (Li‐S) batteries are promising next‐generation energy storage systems with ultrahigh energy density. However, the intrinsic sluggish “solid–liquid–solid” reaction between S 8 and Li 2 S causes unavoidable shuttling of polysu…
What Is the Right Carbon for Practical Anode in Alkali Metal Ion Batteries? Open
Carbon materials have great potential for being the anode of choice in alkali metal ion batteries and are also crucial for constructing an efficient spatial framework for the production of alloy anodes with higher capacities. For the desig…
Catalytic Effects in Lithium–Sulfur Batteries: Promoted Sulfur Transformation and Reduced Shuttle Effect Open
Lithium–sulfur (Li–S) battery has emerged as one of the most promising next‐generation energy‐storage systems. However, the shuttle effect greatly reduces the battery cycle life and sulfur utilization, which is great deterrent to its pract…