Xuzhou Institute of Technology

About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.

Spectral Efficiency Analysis for Massive MIMO System Under QoS Constraint: an Effective Capacity Perspective

Abstract: In massive multiple-input multiple-output (MIMO) systems, dozens of mobile users can simultaneously receive signals from one base station. To obtain maximum spectral efficiency (SE), researchers have investigated the optimal number of scheduled users for one time slot. However, in practical cases, we must consider the quality of service (QoS) constraint. The probability of delay violation is an important QoS index that depends on transmission stability over a long period rather than the instantaneous transmission rate of one time slot. In this paper, we analyze the achievable effective SE of a massive MIMO system under the probability constraint of delay violation. By adopting the effective capacity (EC) theory of wireless channels, we associate the delay violation probability with the transmission rate fluctuations caused by the massive MIMO scheduling strategy used. The relationship between the effective SE, the QoS constraint, and the number of scheduled users is formulated as a continuous function. Our simulation results demonstrate how the optimal number of scheduled users changes for different QoS constraint levels. According to the changing trend, the massive MIMO system can be programmed to choose between different simple scheduling strategies for different QoS constraint levels.

Nonmetal-doping of noble metal-based catalysts for electrocatalysis.

Abstract: In response to the shortage of fossil fuels, efficient electrochemical energy conversion devices are attracting increasing attention, while the limited electrochemical performance and high cost of noble metal-based electrode materials remain a daunting challenge. The electrocatalytic performance of electrode materials is closely bound with their intrinsic electronic/ionic states and crystal structures. Apart from the nanoscale design and conductive composite strategies, heteroatom doping, particularly for nonmetal doping (e.g., hydrogen, boron, sulfur, selenium, phosphorus, and tellurium), is also another effective strategy to greatly promote the intrinsic activity of the electrode materials by tuning their atomic structures. From the perspective of electrocatalytic reactions, the effective atomic structure regulation could induce additional active sites, create rich defects, and optimize the adsorption capability, thereby contributing to the promotion of the electrocatalytic performance of noble metal-based electrocatalysts. Encouraged by the great progress achieved in this field, we have reviewed recent advancements in nonmetal doping for electrocatalytic energy conversion. Specifically, the doping effect on the atomic structure and intrinsic electronic/ionic state is also systematically illustrated and the relationship with the electrocatalytic performance is also investigated. It is believed that this review will provide guidance for the development of more efficient electrocatalysts.

LAIPT: Lysine Acetylation Site Identification with Polynomial Tree.

Abstract: Post-translational modification plays a key role in the field of biology. Experimental identification methods are time-consuming and expensive. Therefore, computational methods to deal with such issues overcome these shortcomings and limitations. In this article, we propose a lysine acetylation site identification with polynomial tree method (LAIPT), making use of the polynomial style to demonstrate amino-acid residue relationships in peptide segments. This polynomial style was enriched by the physical and chemical properties of amino-acid residues. Then, these reconstructed features were input into the employed classification model, named the flexible neural tree. Finally, some effect evaluation measurements were employed to test the model's performance.

Chatter stability of orthogonal turn-milling analyzed by complete discretization method

Abstract: Orthogonal turn-milling is a primary method of turn-milling, which is used for cutting. It is widely used for machining difficult-to-cut materials, slender rods, thin-wall rotary parts, and large rotary parts. As with turning and milling, chatter is generated by orthogonal turn-milling and affects machining productivity, machining accuracy, and tool life. Various methods are available to predict the chatter-stability lobes of orthogonal turn-milling, such as the zero-order analytical, multi-frequency solution, temporal finite-element-analysis, semi-discretization, and full-discretization methods. However, the zero-order analytical method may not be suitable for the actual conditions of orthogonal turn-milling. The multi-frequency solution, temporal finite-element analysis, and semi-discretization methods suffer from poor efficiency, and the full-discretization method involves complex iterative equations and halfway discretization. To overcome these obstacles, we propose herein a different stability model for orthogonal turn-milling. We use this model to investigate a cutting process for orthogonal turn-milling and obtain stability-lobe diagrams using the complete discretization method based on the Eulerian method. The diagrams are verified by comparing them against the experimental results for chatter. Furthermore, we simulate and analyze how feed per revolution of tools affects the cutting stability for orthogonal turn-milling. These models and results can provide theoretical guidance for maximizing the processing efficiency and surface quality of workpiece manufactured by orthogonal turn-milling.