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About 6,385 papers for “Cascade algorithm”

CASCADE CLASSIFICATION ALGORITHM FOR DETECTING MALICIOUS SOFTWARE BY STATIC ANALYSIS

Al.V. Kozachok, S.S. Matovykh, An.V. Kozachok · Izvestiâ ÛFU. Tehničeskie nauki · 2025

A study is presented on the development and experimental validation of a two-level cascading architecture for static classification of Portable Executable (PE) format executable files. The aim of the work is to reduce computing costs without compromising the quality of malware detection. At the first level of the cascade, a decision tree model is used, trained on the ten most informative features, providing a high completeness of Recall 0.990 detection with an acceptable error of 1 kind. The second level is implemented by the random forest model on forty features and is intended for clarifying classification, reaching the metrics Precision 0.988 and Recall 0.987 with an F1 measure of 0.988. The classification threshold at the first level was established empirically, taking into account the minimization of errors of the second kind, while at the second level the optimal threshold value was determined by the Juden index, which provides a balanced ratio of sensitivity and specificity. Experiments on a representative sample have shown that with a malicious traffic fraction of < 20%, the proposed cascade reduces the average analysis time of one object by 5-12% compared to the 40-feature model while maintaining comparable classification quality. The time limit of the cascade,  = 20.6%, is analytically derived, confirmed by empirical data. The practical significance of the work lies in the possibility of integrating the proposed algorithm into antivirus gateways and endpoint protection tools, where fast response and high completeness of detection are required during mass scanning of mostly legitimate code.

Cited by 0Open access

A Cascade Gravity Matching Algorithm With Large Initial Position Error

Shuaipeng Gao, Tijing Cai · IEEE Sensors Journal · 2023

Gravity-aided navigation is an effective passive navigation method, which has a promising application in underwater autonomous vehicles. In order to enhance the real-time performance of the gravity matching algorithm, improve the positioning accuracy of the inertial navigation system (INS), reduce the influence of unknown initial position error, and strengthen the applicability of the gravity-aided navigation system. This article proposes a cascade algorithm based on the maximum correlation method and the extended Kalman filter (EKF) for the gravity-aided navigation system. This algorithm obtains the matching result of the maximum correlation method by the mean square difference (MSD) first. Then the result sequence of MSD and the gravity anomaly variation are introduced into the observation equation of the EKF to correct the position of INS. The effect of the initial position error can be reduced by the MSD method, while the EKF algorithm can improve the real-time performance of gravity matching. The postprocessing simulations of the actual ocean experiment show that the gravity-aided navigation cascade algorithm proposed in this article has good precision. And this algorithm also improves the stability and the applicability of the gravity matching algorithm.

Cited by 5

Learning with Limited Numerical Precision Using the Cascade-Correlation Algorithm

Markus Hoehfeld Scott, Scott E. Fahlman · 1992

A key question in the design of specialized hardware for simulation of neural networks is whether fixedpoint arithmetic of limited numerical precision can be used with existing learning algorithms. We present an empirical study of the effects of limited precision in Cascade-Correlation networks on three different learning problems. We show that learning can fail abruptly as the precision of network weights or weight-update calculations is reduced below 12 bits. We introduce techniques for dynamic rescaling and probabilistic rounding that allow reliable convergence down to 6 bits of precision, with only a gradual reduction in the quality of the solutions. This research was supported by Siemens Corporation. The experiments described here were conducted during a visit by Markus Hoehfeld to Carnegie Mellon in the fall of 1990. Markus Hoehfeld's permanent address is Siemens AG, ZFE IS INF 2, Otto-Hahn-Ring 6, W-8000 Munich 83, Germany. Keywords: Artificial Intelligence, Learning, Neural n...

Cited by 0

Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array

Tae-yun Kim, Suk-Seung Hwang · Sensors · 2020

The Angle-of-Arrival (AOA) has a variety of applications in civilian and military wireless communication fields. Due to the rapid development of the location-based service (LBS) industry, the importance of the AOA estimation technique has increased. Although a large antenna array is necessary to estimate accurate AOA information of many signals, the computational complexity of conventional AOA estimation algorithms, such as Multiple Signal Classification (MUSIC), is dramatically increased. In this paper, we propose a cascade AOA estimation algorithm employing CAPON and Beamspace MUSIC, based on a flexible (on/off) antenna array. First, this approach roughly finds AOA groups, including several signal AOAs using CAPON, by applying some of the antenna elements. Then, it estimates each signal AOA in the estimated AOA groups using Beamspace MUSIC by applying the full size of the antenna array. In addition to extremely low computational complexity, the proposed algorithm also has similar estimation performance to that of MUSIC. In particular, the proposed cascade AOA estimation algorithm is highly efficient when employing a massive antenna array. Representative computer simulation examples are provided to illustrate the AOA estimation performance of the proposed technique.

Cited by 6Open access

A New Cascade-Correlation Growing Deep Learning Neural Network Algorithm

Soha Abd El-Moamen Mohamed, Marghany Hassan Mohamed, Mohammed F. Farghally · Algorithms · 2021

In this paper, a proposed algorithm that dynamically changes the neural network structure is presented. The structure is changed based on some features in the cascade correlation algorithm. Cascade correlation is an important algorithm that is used to solve the actual problem by artificial neural networks as a new architecture and supervised learning algorithm. This process optimizes the architectures of the network which intends to accelerate the learning process and produce better performance in generalization. Many researchers have to date proposed several growing algorithms to optimize the feedforward neural network architectures. The proposed algorithm has been tested on various medical data sets. The results prove that the proposed algorithm is a better method to evaluate the accuracy and flexibility resulting from it.

Cited by 21Open access

Approximation of Cascade and Feedback Structured Systems by Mullis-Roberts Algorithm

Tsutomu Nohara, Shigeyuki Hosoe, Masami Itō · Transactions of the Society of Instrument and Control Engineers · 1988

In this paper a method for constructing a reduced order model retaining the internal structure of original high order cascade and feedback structured systems is derived by Mullis-Roberts algorithm.A reduced order model obtained here is the optimal approximation in the sense that it minimizes the curvilinear integral of the squared norm of an approximation error at the unit circle of z plane. The algorithm for obtaining the reduced order models are described.One feature of the proposed algorithm is that it is possible to compute reduced order models of each subsystem independently. The stability of the reduced order model is not always guaranteed. However, the rusults of numerical computations showed that the reduced order systems remain stable for almost all randomly selected examples and approximate the input-output behavior of original systems fairly well.

Cited by 0Open access

Pedestrian Detection Algorithm Using Local Feature Cascade Classifier in Traffic Scenes

Lixia Liu · 2023

Aiming at the low recognition rate of pedestrian detection algorithm in traffic scene, this paper designs a pedestrian recognition algorithm based on local feature cascade classifier. The pedestrian candidate area is extracted, and the imaging intensity of the scattered light in the camera sensor is calculated. A local feature cascade classifier is used to segment the image boundary, and the rectangular box whose height is smaller than the height of the HOG window is enlarged to design a pedestrian detection algorithm for traffic scenes. The experimental results show that the average recognition rate of the pedestrian detection algorithm proposed in this paper is 94.764%. The results show that the proposed method can achieve better pedestrian recognition in traffic scenes after introducing local feature cascade classifier.

Cited by 1

The Exploration Cascade as a Mission Planning Algorithm for AMADEE-24

Fabian Greif, Jelena Savic, Seda Özdemir et al. · 2024

In both real and analog missions, the crew can only perform activities and experiments outside the habitat for a certain amount of time. This means that the missions and therefore also the planned activities must be planned precisely to perform as many activities and experiments as possible in as short a time as possible. Such planning must consider external factors such as environmental factors, such as temperature or weather conditions, as well as the duration of experiments and dependencies on other experiments or activities. Furthermore, changes can occur continuously during a mission, which can also impact the planned schedule. In previous analog missions, this planning was performed manually, which can be very time-consuming due to the many possible conditions. This paper presents the Exploration Cascade, a mathematical algorithm that considers possible factors to create an optimal mission plan. Using the analog Mars mission AMADEE-24 as an example, we examine what results this algorithm can achieve and how flexibly it can react to changes, such as changes in weather forecasts or unforeseeable events, such as the failure of scientific equipment. Furthermore, we examined how the efficiency of the algorithm compares with manual planning and what conclusions can be drawn from it.

Cited by 0Open access

High-Precision Multi-Satellite TDOA Geolocation Algorithm Based on Cascade Filtering

Xiaoyang Chen, Shanshan Li, Zheng Zhao et al. · 2025

Accurate estimation of moving target positions remains a critical challenge in the field of satellite electromagnetic spectrum sensing. In traditional time difference of arrival (TDOA) geolocation, two steps are typically required: TDOA estimation and positioning solution. The accuracy of this process is influenced by multiple factors, including signal-tonoise ratio, signal bandwidth, and the precision of TDOA parameter estimation. To further improve the positioning accuracy, this paper proposes a high-precision multi-satellite TDOA geolocation algorithm based on cascade filtering. The proposed method extends the conventional two-step approach by first refining TDOA estimates through an Extended Kalman Filter (EKF) based on received signals. These filtered TDOA values are then used as inputs to the positioning solution module to derive the three-dimensional coordinates of the target. Subsequently, the EKF is applied again to the obtained target coordinates to further refine the position, resulting in a highprecision target location. Computer simulation results demonstrate the effectiveness of the proposed algorithm, which significantly improves positioning precision compared to traditional methods.

Cited by 0

Research on wheel-leg balancing robot based on cascade PID algorithm

Jiang Dong-qing, Kai Liu, Shihua Li · 2025

This paper studies a wheel-leg balance robot based on cascade PID algorithm. Firstly, the design background of the wheel-leg balance robot is introduced, which combines the advantages of both wheeled and legged robots. Then, the structural design of the robot is described, including the four-bar linkage mechanism used in the legs and the overall structural layout. Next, the control hardware design of the balance robot is presented, which employs dual DC brushless motors and dual servos as actuators, and two STM32F103 MCUs are selected to handle the FOC algorithm and the cascade PID algorithm respectively. The principle of the cascade PID control algorithm and its specific application on the robot are elaborated in detail. Field tests with the physical prototype show that this algorithm effectively improves the motion stability of the robot. Finally, the paper explores the possibility of extending this algorithm to more complex tasks, providing ideas for subsequent research and development.

Cited by 0

Traffic identification of network business based on multi-layer cascade algorithm

Feng HUANG, Yao WANG, Li HUANG et al. · SHILAP Revista de lepidopterología · 2015

The contradiction between traffic demand and network bandwidth is the main problem of the current network.Traffic management is one of the effective solutions,at the same time it can improve the quality of service of the network,and network traffic identification is the basis of fine traffic management.The traffic identification method of network business based on multi-layer cascade algorithm was proposed,after the research of network traffic identification and machine learning techniques.This method can adapt to the situation of the complex network traffic flow,and can balance the contradiction between the time performance and the accuracy of the machine learning algorithm.Furthermore the cascade algorithm of this method takes the cost imbalance into account,and takes more attention to the identification of important business,so it can help enhance user experience.

Cited by 0Open access

Removal of impulsive noise from color images with cascade switching algorithm

Alexey Ruchay, Vladimir Kolpakov, Tatyana Makovetskaya et al. · 2018

This presentation deals with restoration of the image corrupted by impulsive noise using a novel cascade switching algorithm. The algorithm processes iteratively the observed degraded image changing adaptively parameters of the switching filter. With the help of computer simulation, we show that the proposed algorithm is able to effectively remove impulse noise from a highly contaminated image. The performance of the proposed algorithm is compared with that of common successful algorithms in terms of image restoration metrics.

Cited by 4

A Cascade Algorithm For Solitary-Wave Solutions Of The Benjamin Equation

Jianhong Shen · 2007

. A cascade algorithm for solitary-wave solutions to the Benjamin equation is conctructed, implemented and analyzed both numerically and theoretically. The major advantages over the existing homotopy algorithm are its simplicity, efficiency, generality, and the many properties it reveals about the exact solution, whose closed form is out of our reach. 1. Introduction This paper is an extension of the work of Albert, Bona and Rostrep [1] on the solitary-wave solutions to the Benjamin equation. We present a new cascade algorithm for the solitary-wave solutions, which were originally computed in [1] by a homotopy method. The algorithm we propose here is simpler, more efficient and general. Most remarkably, unlike the homotopy method, it also reveals many important properties of the exact solution, which has no closed form because of nonlinearity. The presentation goes as follows. Section 2 contains a brief introduction to the Benjamin equation and their solitary-wave solutions. The gener...

Cited by 0

An Image Encryption Algorithm Using Cascade Chaotic Map and S-Box

Jiming Zheng, Tianyu Bao · Entropy · 2022

This paper proposed an image algorithm based on a cascaded chaotic system to improve the performance of the encryption algorithm. Firstly, this paper proposed an improved cascaded two-dimensional map 2D-Cosine-Logistic-Sine map (2D-CLSM). Cascade chaotic system offers good advantages in terms of key space, complexity and sensitivity to initial conditions. By using the control parameters and initial values associated with the plaintext, the system generates two chaotic sequences associated with the plaintext image. Then, an S-box construction method is proposed, and an encryption method is designed based on the S-box. Encryption is divided into bit-level encryption and pixel-level encryption, and a diffusion method was devised to improve security and efficiency in bit-level encryption. Performance analysis shows that the encryption algorithm has good security and is easily resistant to various attacks.

Cited by 31Open access