In view of the common U-shaped apron structure large- and medium-sized airports at home abroad, this study considered optimization design performance evaluation operation procedure. First, by analyzing physical characteristics traffic area, exclusive, partition-shared, global-shared procedures area were designed, differentiated apron-operation rules models constructed for different types proced...

One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is the computation of the partition function, which may require an intractable sum. However, in many such models, the mode can be found efficiently even when the partition function is unavailable. Recent work on Perturb-...

Concept lattice is an effective tool for data analysis. Constrained concept lattice, with the characteristics of higher constructing efficiency, practicability and pertinence, is a new concept lattice structure. For classification rule acquisition, a classification rule acquisition algorithm based on the constrained concept lattice is presented by using the concept of partition support accordin...

Sub-class partition information within positive and negative classes is often ignored by a binary classifier, even when these detailed background information is available at hand. It is expected that this kind of additional information can help to improve the differentiating capacity of a binary classifier. In this paper, a binary classification strategy via multi-class categorization is propos...

Abstract Sub-class partition information within positive and negative classes is often ignored by a binary classifier, even when these detailed background information is available at hand. It is expected that this kind of additional information can help to improve the differentiating capacity of a binary classifier. In this paper, a binary classification strategy via multi-class categorization ...

In this paper, a method for indoor and outdoor scene classification is proposed based on the spectrum information of Fourier transform. Firstly, the image is divided into five partitions. The color, texture, and spectral information of each partition are extracted as feature vector. Each partition has a separate image feature vectors, so the image can be represented by this set of features. For...

A method is proposed for classification to ordinal categories by applying the search partition analysis (SPAN) approach. It is suggested that SPAN be repeatedly applied to binary outcomes formed by collapsing adjacent categories of the ordinal scale. By a simple device, whereby successive binary partitions are constrained to be nested, a partition for classification to the ordinal states is obt...

The medical business of China Post Logistics is developing day by day. China Post Logistics have been using the Parallel partition picking mode for a long time, but too many shortages have appearing in these two years, especially in the order picking cost and efficiency. This paper analyzes the current order picking mode of China Post Logistics and compare with the Parallel partition picking mo...

Network traffic classification is used in various applications such as network management, policy enforcement, and intrusion detection systems. Although most encrypt their some of them dynamically change port numbers, Machine Learning (ML) especially Deep (DL)-based classifiers have shown impressive performance classification. In this article, we evaluate the robustness DL-based against Adversa...

risk management is one of the most important phases of project management and isthe most recently used by many researchers. in this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence”, and “not detection” which form fuzzy fmea a...