scholarly journals Research on Electronic Image Stabilization Technology of Vehicle-Mounted Remote-Controlled Weapon Station

2021 ◽  
Vol 2083 (3) ◽  
pp. 032061
Author(s):  
Shumin Qin ◽  
Lizhen Zhao ◽  
Xingke Tian ◽  
Lidan Li ◽  
Shuyun Liu
Keyword(s):  
System Design ◽  
Robust Stability ◽  
Sensor Data ◽  
Two Stage ◽  
Image Stabilization ◽  
Image Information ◽  
Gyro Sensor ◽  
Image Compensation ◽  
Stable Scheme ◽  
Selection Of

Abstract The image information of the vehicle-mounted remote-controlled weapon station is jittered and blurred when the stance changes or vibrates, which increases the aiming difficulty and observation fatigue of the shooter, in order to realize the stable marching fire of the vehicle-mounted remote-controlled weapon station, the two-stage stable scheme with the shared gyro sensor is adopted in the system design, namely, the aiming device is rigidly fixed on the initially stable weapon platform, and then the electronic image stabilization is carried out. This paper proposes an approach combining two image stabilization schemes: gyro sensor data and image projection registration, optimizes the selection of image compensation data by registering and comparing the results of the two stable data, and uses the special features of the two schemes to improve the robust stability of electronic image stabilization, which ensure the observation effect of video image stabilization of the vehicle-mounted remote-controlled weapon station.

scholarly journals Distributed mapping with privacy and communication constraints: Lightweight algorithms and object-based models

2017 ◽  
Vol 36 (12) ◽  
pp. 1286-1311 ◽  
Author(s):  
Siddharth Choudhary ◽  
Luca Carlone ◽  
Carlos Nieto ◽  
John Rogers ◽  
Henrik I Christensen ◽  
...  
Keyword(s):  
Distributed Algorithms ◽  
Field Experiments ◽  
Sensor Data ◽  
Test Facility ◽  
Two Stage ◽  
Noisy Information ◽  
Seidel Method ◽  
Object Based ◽  
Graph Optimization ◽  
Pose Graph Optimization

We consider the following problem: a team of robots is deployed in an unknown environment and it has to collaboratively build a map of the area without a reliable infrastructure for communication. The backbone for modern mapping techniques is pose graph optimization, which estimates the trajectory of the robots, from which the map can be easily built. The first contribution of this paper is a set of distributed algorithms for pose graph optimization: rather than sending all sensor data to a remote sensor fusion server, the robots exchange very partial and noisy information to reach an agreement on the pose graph configuration. Our approach can be considered as a distributed implementation of a two-stage approach that already exists, where we use the Successive Over-Relaxation and the Jacobi Over-Relaxation as workhorses to split the computation among the robots. We also provide conditions under which the proposed distributed protocols converge to the solution of the centralized two-stage approach. As a second contribution, we extend the proposed distributed algorithms to work with the object-based map models. The use of object-based models avoids the exchange of raw sensor measurements (e.g. point clouds or RGB-D data) further reducing the communication burden. Our third contribution is an extensive experimental evaluation of the proposed techniques, including tests in realistic Gazebo simulations and field experiments in a military test facility. Abundant experimental evidence suggests that one of the proposed algorithms (the Distributed Gauss–Seidel method) has excellent performance. The Distributed Gauss–Seidel method requires minimal information exchange, has an anytime flavor, scales well to large teams (we demonstrate mapping with a team of 50 robots), is robust to noise, and is easy to implement. Our field tests show that the combined use of our distributed algorithms and object-based models reduces the communication requirements by several orders of magnitude and enables distributed mapping with large teams of robots in real-world problems. The source code is available for download at https://cognitiverobotics.github.io/distributed-mapper/

scholarly journals Study of the Start Point of Optimization Trajectories for Complex Strategies of the Circuit Design Process

2021 ◽  
Vol 20 ◽  
pp. 133-139
Author(s):  
Alexander Zemliak
Keyword(s):  
System Design ◽  
Design Process ◽  
Circuit Design ◽  
Initial Point ◽  
Point Selection ◽  
Design Algorithm ◽  
Optimal Position ◽  
Starting Point ◽  
Dividing Surface ◽  
Selection Of

The different design trajectories have been analyzed in the design space on the basis of the new system design methodology. Optimal position of the design algorithm start point was analyzed to minimize the CPU time. The initial point selection has been done on the basis of the before discovered acceleration effect of the system design process. The geometrical dividing surface was defined and analyzed to obtain the optimal position of the algorithm start point. The numerical results of the design of passive and active nonlinear electronic circuits confirm the possibility of the optimal selection of the starting point of the design algorithm.

Prevention of Historically Challenging Sustained Casing Pressure from Shallow Gas Through Re-Engineered Cement Design and Execution Methodology

2021 ◽  
Author(s):  
Farah Shakina Ezani ◽  
Myat Thuzar ◽  
Avinash Kishore Kumar ◽  
Chee Hen Lau
Keyword(s):  
Mitigation Measures ◽  
Design Parameters ◽  
Two Stage ◽  
Shallow Gas ◽  
Second Stage ◽  
The Past ◽  
Sustained Casing Pressure ◽  
Dual Stage ◽  
Casing Pressure ◽  
Selection Of

Abstract Sustained casing pressure (SCP) is a very costly event for any operator either at production phase or at the end of a well’s lifecycle. SCP is a result of incomplete hydraulic isolation across hydrocarbon bearing zone. In one of the gas fields in Malaysia, notoriously known for shallow gas hazard, drilled development wells which have reportedly been suffering SCP. In the past, various improvements in cement slurry design and placement methods were deployed in order to provide complete zonal isolation, especially at the shallow gas sand, yet SCP issue was encountered occasionally. In the current development campaign, different strategy to providing annulus sealing was adopted. This paper discusses proactive steps taken in the slurry design, fit together with the dual stage cementing approach, as a primary means of placing cement above the shallow hazard interval. During the design phase, essential key parameters that would lead to successful placement of cement in the annulus as well as unique slurry design that suits for two stage cementing methods were studied. Risk involved in first stage cementing is one of the most important steps that should be analyzed in detail and put mitigation measures in place to ensure the second stage cement job can be performed as planned. In addition to the slurry properties, such as fluid-loss value, gas-tightness, etc., thickening time and top of cement (TOC) of the lead slurry in the first stage cement job has become enormously critical in designing dual stage cementing job in order to assure cement ports in the stage collar are not covered with hard cement forcing the termination of second stage job prematurely. Besides cementing design, careful selection of the stage collar location and casing annulus packer in the string is also of significant importance in leading to successful two stage cement job. Two development wells with above approached has been delivered and no sustained casing pressure has been experienced. This proactive approach to use two stage cementing as primary plan has proven to successfully eliminate the risk of SCP, which was a frequent struggle in their sister wells drilled with primary cementing in the past in the same field. The risk analysis combined with careful considerations of critical cementing design parameters and selection of stage tool location have become a novel approach to combat against SCP in this gas field.

Above Ground Bioremediation: Two Stage Strategy for the Selection of Optimum Operation Conditions

1995 ◽  
pp. 1219-1220
Author(s):  
I. Gorostiza ◽  
M. Zallo ◽  
A. I. San Vicente ◽  
E. Quintana ◽  
I. Muguruza
Keyword(s):  
Two Stage ◽  
Optimum Operation ◽  
Operation Conditions ◽  
Selection Of

Automatic Trading System Design

2010 ◽  
pp. 166-183 ◽  
Author(s):  
Petr Tucnik
Keyword(s):  
Risk Management ◽  
System Design ◽  
Technical Analysis ◽  
Futures Trading ◽  
Trading System ◽  
General Overview ◽  
The Right ◽  
Selection Of

This chapter will focus on the problem of design of automatic trading system for futures trading, specifically its design lifecycle. This is a task that can be divided into several phases. In this chapter we focus on the selection of proper environment (i.e. choose the right market and commodity), choosing appropriate set of tools (fundamental or technical analysis indicators) and creating the automatic trading system itself, which has to follow rules of money (risk) management and trading psychology. The chapter stresses the importance of the system`s acceptability for the user. The last phase covers the topic of testing and optimization. This chapter provides a general overview of each of these phases together with a discussion of typical issues.

Two-Stage Non-Cooperative Game Model for Vertical Handoffs in Heterogeneous Wireless Networks

2021 ◽  
pp. 90-114
Author(s):  
Pramod Kumar Goyal ◽  
Pawan Singh
Keyword(s):  
Game Theory ◽  
Wireless Networks ◽  
Cooperative Game ◽  
Heterogeneous Wireless Networks ◽  
Substantial Reduction ◽  
Game Model ◽  
Two Stage ◽  
Vertical Handoffs ◽  
Cooperative Game Model ◽  
Selection Of

In a heterogeneous wireless network (HWN) environment, performing an efficient vertical handoff requires the efficient qualitative evaluation of all stakeholders like wireless networks (WN) and mobile users (MU) and mutual selection of best WN-MU. In the literature, most of the work deals with both these requirements jointly in the techniques proposed by them for the vertical handoffs (VHO) in HWNs, leaving very little scope to manipulate the above requirements independently. This may result in inefficient vertical handoffs. Hence, this chapter proposed a generalized two-stage two players, iterative non-cooperative game model. This model presents a modular framework that separates the quantitative evaluation of WNs and MUs (at Stage 1) from the game formulation and solution (at Stage 2) for mutual selection of best WN-MU pair for VHO. The simulation results show a substantial reduction in the number of vertical handoffs with the proposed game theory-based two-stage model as compared to a single-stage non-game theory method like multiple attribute decision making.

An Effective AQI Estimation Using Sensor Data and Stacking Mechanism

2021 ◽  
Author(s):  
Dat Q. Duong ◽  
Quang M. Le ◽  
Tan-Loc Nguyen-Tai ◽  
Hien D. Nguyen ◽  
Minh-Son Dao ◽  
...  
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Research Topic ◽  
Sensor Data ◽  
Weather Data ◽  
Quality Estimation ◽  
Data Set ◽  
Adverse Health Effects ◽  
Overall Performance ◽  
Selection Of

Accurately assessing the air quality index (AQI) values and levels has become an attractive research topic during the last decades. It is a crucial aspect when studying the possible adverse health effects associated with current air quality conditions. This paper aims to utilize machine learning and an appropriate selection of attributes for the air quality estimation problem using various features, including sensor data (humidity, temperature), timestamp features, location features, and public weather data. We evaluated the performance of different learning models and features to study the problem using the data set “MNR-HCM II”. The experimental results show that adopting TLPW features with Stacking generalization yields higher overall performance than other techniques and features in RMSE, accuracy, and F1-score.

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