Research Progress of Superhydrophobic Coatings Constructed by Arrayed and Non-Arrayed Carbon Nanotubes for Anti-Corrosion, Anti-Icing and Photothermal De-Icing.

The preparation methods of superhydrophobic nanocomposite surfaces based on carbon nanotubes are reviewed in view of the different arrangement accuracy and various performance differences of the preparation methods of superhydrophobic surfaces of arrayed and non-arrayed carbon nanotubes. The application progress of superhydrophobic surfaces of non-arrayed carbon nanotubes in the fields of anti-corrosion, anti-icing and photothermal de-icing is introduced. On the basis of summarizing the basic preparation methods and properties of carbon nanotubes, the advantages of carbon nanotubes as superhydrophobic surface materials are clarified.

The Posture Detection Method of Caged Chickens Based on Computer Vision.

At present, raising caged chickens is a common farming method in China. However, monitoring the status of caged chickens is still done by human labor, which is time-consuming and laborious. This paper proposed a posture detection method for caged chickens based on computer vision, which can automatically identify the standing and lying posture of chickens in a cage.

Robust superhydrophobic self-cleaning coating prepared by silane modified multi-walled carbon nanotubes: A combined experimental and molecular dynamics study.

As a functional material, superhydrophobic coating has been widely studied in the field of self-cleaning. However, obtaining superhydrophobic coatings with robustness through simple preparation processes remains a challenge. In this paper, a robust superhydrophobic coating is prepared based on multi-walled carbon nanotubes modified by octyltrimethoxysilane, and its performance and hydrophobic mechanism are studied by experiments and molecular dynamics simulation.

MCP: Multi-Chicken Pose Estimation Based on Transfer Learning.

Poultry managers can better understand the state of poultry through poultry behavior analysis. As one of the key steps in behavior analysis, the accurate estimation of poultry posture is the focus of this research. This study mainly analyzes a top-down pose estimation method of multiple chickens.

Preparation and Anti-Icing Properties of Zirconia Superhydrophobic Coating.

Zirconia (ZrO) is a ceramic material with high-temperature resistance and good insulating properties. Herein, for the first time, the surface of ZrO was modified with docosanoic acid (DCA) to improve its self-cleaning and hydrophobic properties. This surface modification transformed the surface of ZrO from hydrophilic to superhydrophobic.

Wettability Study of an Acidified Nano-TiO Superhydrophobic Surface.

The operation of aerospace equipment is often affected by icing and frosting. In order to reduce the loss caused by icing in the industrial field, it is an effective method to prepare superhydrophobic coatings by modifying nanoparticles with low surface energy materials. In order to explore a method of preparing a superhydrophobic surface that can be popularized, a two-step spraying method was employed to create a superhydrophobic coating.

Preparation and properties of oxidized multi-walled carbon nanotube superhydrophobic composites modified by bio-fatty acids.

In this paper, a preparation method of superhydrophobic composites of oxidized multi-walled carbon nanotubes modified by stearic acid (SA) is proposed. Hydroxylated multi-walled carbon nanotubes (HMWCNTs) were obtained by oxidizing multi-walled carbon nanotubes with potassium dichromate to give them hydroxyl groups on the surface. Subsequently, the carboxyl group in the SA molecule was esterified with the hydroxyl group on the HMWCNTs.

Super-resolution fusion optimization for poultry detection: a multi-object chicken detection method.

Accurate poultry detection is crucial for studying poultry behavior using computer vision and video surveillance. However, in free-range farming environments, detecting chickens can often be challenging due to their small size and mutual occlusion. The current detection algorithms exhibit a low level of accuracy, with a high probability of false and missed detections.

Study on Poultry Pose Estimation Based on Multi-Parts Detection.

Poultry pose estimation is a prerequisite for evaluating abnormal behavior and disease prediction in poultry. Accurate pose-estimation enables poultry producers to better manage their poultry. Because chickens are group-fed, how to achieve automatic poultry pose recognition has become a problematic point for accurate monitoring in large-scale farms.

Experimental study of methane hydrate generation characteristics in the presence of GO and Re-GO.

The industrial application of hydrate technology is greatly hindered by its slow generation rate, low gas storage rate, harsh generation conditions, and poor environmental friendliness of traditional additives. In this paper, the kinetic and thermodynamic promotion effects of graphene oxide (GO) and recovered graphene oxide (Re-GO) on methane hydrate in different systems were studied by the constant volume methods. The promotion mechanism was analyzed from the micro perspectives of molecular physical properties, interfacial reaction, and nucleation sites.

Design and Implementation of Poultry Farming Information Management System Based on Cloud Database.

Aiming at breaking down the bottleneck problems of different scale of poultry farms, the low profitability of poultry farming, and backward information management in China, a safe and efficient information management system for poultry farming was designed. This system consists of (1) a management system application layer, (2) a data service layer, and (3) an information sensing layer. The information sensing layer obtains and uploads production and farming information through the wireless sensor network built in the poultry house.