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A Study of Real-time Semantic Segmentation Performance Improvement in Unstructured Outdoor Environment 非结构化户外环境下实时语义分割性能改进研究
Pub Date : 2022-12-05 DOI: 10.9766/kimst.2022.25.6.606
Daeyoung Kim, Seunguk Ahn, Seung-Woo Seo
Semantic segmentation in autonomous driving for unstructured environments is challenging due to the presence of uneven terrains, unstructured class boundaries, irregular features and strong textures. Current off-road datasets exhibit difficulties like class imbalance and understanding of varying environmental topography. To overcome these issues, we propose a deep learning framework for semantic segmentation that involves a pooled class semantic segmentation with five classes. The evaluation of the framework is carried out on two off-road driving datasets, RUGD and TAS500. The results show that our proposed method achieves high accuracy and real-time performance.
由于存在不平坦的地形、非结构化的类别边界、不规则的特征和强烈的纹理,在非结构化环境中自动驾驶的语义分割具有挑战性。当前的越野数据集表现出诸如类别不平衡和对不同环境地形的理解等困难。为了克服这些问题,我们提出了一个语义分割的深度学习框架,该框架涉及五个类的池类语义分割。在RUGD和TAS500两个越野驾驶数据集上对该框架进行了评估。结果表明,该方法具有较高的精度和实时性。
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引用次数: 0
An Architecture Model on Artificial Intelligence for Ground Tactical Echelons 地面战术梯队人工智能体系结构模型
Pub Date : 2022-10-05 DOI: 10.9766/kimst.2022.25.5.513
Jun Kim, Sang Chul Park
This study deals with an AI architecture model for collecting battlefield data using the tactical C4I system. Based on this model, the artificial staff can be utilized in tactical echelon. In the current structure of the Army's tactical C4I system, Servers are operated by brigade level and above and divided into an active and a standby server. In this C4I system structure, the AI server must also be installed in each unit and must be switched when the C4I server is switched. The tactical C4I system operates a server(DB) for each unit, so data matching is partially delayed or some data is not matched in the inter-working process between servers. To solve these issues, this study presents an operation concept so that all of alternate server can be integrated based on virtualization technology, which is used as an source data for AI Meta DB. In doing so, this study can provide criteria for the AI architectural model of the ground tactical echelon.
本研究涉及使用战术C4I系统收集战场数据的AI架构模型。基于该模型,可以在战术梯队中使用人工战杖。在陆军战术C4I系统的当前结构中,服务器由旅级及以上级别操作,并分为活动服务器和备用服务器。在这种C4I系统结构中,AI服务器也必须安装在每个单元中,并且必须在切换C4I服务器时进行切换。战术C4I系统为每个单元操作一个服务器(DB),因此在服务器之间的交互过程中数据匹配部分延迟或一些数据不匹配。为了解决这些问题,本研究提出了一种基于虚拟化技术集成所有备用服务器的操作概念,并将其作为人工智能元数据库的源数据。通过这样做,本研究可以为地面战术梯队的人工智能架构模型提供标准。
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引用次数: 0
The Evaluation of an Electric Hybrid Power System for the High Endurance Drone 高续航力无人机电动混合动力系统的评价
Pub Date : 2022-10-05 DOI: 10.9766/kimst.2022.25.5.539
B. Gang, Keun-Bae Kim
This research shows the test performance of a 6 kW-scale hybrid electric power system for the high endurance drone. The power system is composed of a two-stroke reciprocal engine, starter-generator and battery, and they are integrated as one power unit. The engine is designed to provide the house for holding the starter-generator at the end of a crankshaft in turn the engine and starter-generator can maintain the same speed during the operational period. In this way, the generated power is readily controlled by just manipulating an engine throttle movement. Moreover, the starter-generator can initiate an engine operation with an aid of battery power until the combustion process becomes stabilized. In consequence, integration mechanism between an engine and generator is simplified, which results in weight reduction achieved. The duty of back-up battery is to provide a starting power to generator via a system controller in addition to covering momentarily power shortage. Therefore, the electric power system is vindicated to provide 6 kW power through a ground test.
本研究展示了用于高续航无人机的6千瓦级混合动力系统的测试性能。动力系统由二冲程往复发动机、起动发电机和蓄电池组成,并集成为一个动力单元。发动机被设计成在曲轴末端提供容纳起动-发电机的房子,使发动机和起动-发电机在运行期间能保持相同的转速。通过这种方式,产生的功率很容易通过操纵发动机节气门运动来控制。此外,起动发电机可以在电池的帮助下启动发动机运行,直到燃烧过程变得稳定。因此,简化了发动机与发电机之间的集成机制,从而实现了重量的减轻。备用电池的作用是通过系统控制器为发电机提供启动电源,以弥补暂时的电力短缺。因此,通过地面试验,电力系统可以提供6kw的功率。
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引用次数: 0
The Study on the Control of the Plume Deflection Panel of the Ground Launching Platform Using a Tilt Angle Sensor 用倾角传感器控制地面发射平台羽流偏转板的研究
Pub Date : 2022-10-05 DOI: 10.9766/kimst.2022.25.5.522
Byungchang Choi
In this paper, an experimental study on the control of the plume deflection panel(PDP) with a support jack of the ground launching platform using a tilt angle sensor is described. To overcome the disadvantages of the existing PDP control without a support jack using a limit sensor, the control algorithm using a tilt angle sensor and the ferroelectric RAM in the Launcher Control Unit for recognizing the contact with the ground in an abnormal operation is proposed to control the PDP in various operation environments. Finally, the proposed algorithm can be well applied for not only heavy-load launching platforms but also any other similar systems.
本文介绍了利用倾斜角传感器控制地面发射平台带支撑千斤顶的羽流偏转板的实验研究。为了克服现有的无支撑千斤顶的PDP控制中使用限位传感器的缺点,提出了利用倾角传感器和发射装置控制单元中的铁电RAM识别异常运行时与地面接触的控制算法,实现了在各种运行环境下对PDP的控制。最后,该算法不仅适用于重载发射平台,也适用于其他类似系统。
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引用次数: 0
Pyro Squib Circuit Design with Stable Constant Current Driving Method 稳定恒流驱动法的火焰爆竹电路设计
Pub Date : 2022-10-05 DOI: 10.9766/kimst.2022.25.5.545
KyoungJae Soh
We proposed a design method for constant current pyro squib circuit. The current method using N MOSFET for the stability problem has a weakness of the current change, requiring a new design. This paper identified the problem with conventional squib circuit where the current is reduced by 25 % when maximum resistance is 3 ohms. Thus, we proposed a stable constant current driving circuit using P MOSFET and PNP BJT. We confirmed stable constant circuit operation through simulations and measurements of the proposed circuit design where the current did not change until the resistance reached 3 ohms.
提出了一种恒流烟火电路的设计方法。目前采用N型MOSFET解决稳定性问题的方法存在电流变化大的缺点,需要重新设计。本文确定了传统哑炮电路在最大电阻为3欧姆时电流减少25%的问题。因此,我们提出了一种使用P型MOSFET和PNP型BJT的稳定恒流驱动电路。我们通过模拟和测量所提出的电路设计确认稳定的恒定电路运行,其中电流直到电阻达到3欧姆才发生变化。
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引用次数: 0
Similarity Analysis Between SAR Target Images Based on Siamese Network 基于Siamese网络的SAR目标图像相似性分析
Pub Date : 2022-10-05 DOI: 10.9766/kimst.2022.25.5.462
Ji-hoon Park
Different from the field of electro-optical(EO) image analysis, there has been less interest in similarity metrics between synthetic aperture radar(SAR) target images. A reliable and objective similarity analysis for SAR target images is expected to enable the verification of the SAR measurement process or provide the guidelines of target CAD modeling that can be used for simulating realistic SAR target images. For this purpose, this paper presents a similarity analysis method based on the siamese network that quantifies the subjective assessment through the distance learning of similar and dissimilar SAR target image pairs. The proposed method is applied to MSTAR SAR target images of slightly different depression angles and the resultant metrics are compared and analyzed with qualitative evaluation. Since the image similarity is somewhat related to recognition performance, the capacity of the proposed method for target recognition is further checked experimentally with the confusion matrix.
与光电图像分析领域不同,合成孔径雷达(SAR)目标图像之间的相似度度量一直受到较少的关注。期望对SAR目标图像进行可靠、客观的相似度分析,以验证SAR测量过程或提供可用于模拟真实SAR目标图像的目标CAD建模指南。为此,本文提出了一种基于暹罗网络的相似度分析方法,通过远程学习对相似和不相似的SAR目标图像对进行主观评价量化。将该方法应用于MSTAR SAR目标图像,并对所得指标进行了定性评价和比较。由于图像相似度与识别性能有一定的关系,因此用混淆矩阵进一步实验验证了所提方法的目标识别能力。
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引用次数: 0
Synthetic Infra-Red Image Dataset Generation by CycleGAN based on SSIM Loss Function 基于SSIM损失函数的CycleGAN合成红外图像数据集
Pub Date : 2022-10-05 DOI: 10.9766/kimst.2022.25.5.476
Sky H. Lee, H. Leeghim
Synthetic dynamic infrared image generation from the given virtual environment is being the primary goal to simulate the output of the infra-red(IR) camera installed on a vehicle to evaluate the control algorithm for various search & reconnaissance missions. Due to the difficulty to obtain actual IR data in complex environments, Artificial intelligence(AI) has been used recently in the field of image data generation. In this paper, CycleGAN technique is applied to obtain a more realistic synthetic IR image. We added the Structural Similarity Index Measure(SSIM) loss function to the L1 loss function to generate a more realistic synthetic IR image when the CycleGAN image is generated. From the simulation, it is applicable to the guided-missile flight simulation tests by using the synthetic infrared image generated by the proposed technique.
从给定的虚拟环境生成合成动态红外图像是模拟安装在车辆上的红外(IR)摄像机输出的主要目标,以评估各种搜索和侦察任务的控制算法。由于在复杂环境下难以获取实际红外数据,人工智能(AI)已被广泛应用于图像数据生成领域。本文将CycleGAN技术应用于获得更真实的合成红外图像。在生成CycleGAN图像时,我们在L1损失函数中加入了结构相似指数度量(SSIM)损失函数,以生成更真实的合成红外图像。仿真结果表明,利用该技术生成的红外合成图像可用于导弹飞行仿真试验。
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引用次数: 0
Design for Weapon Live Test Decision Support System Using Digital Twin Architecture 基于数字孪生结构的武器实弹试验决策支持系统设计
Pub Date : 2022-10-05 DOI: 10.9766/kimst.2022.25.5.501
Eungsu Kim, Kiyeol Ryu
The purpose of the weapon live test during the phase of development is to provide essential information to decision makers that verify and validate the performance capabilities of weapons. Due to varying allocation and high variance of test resources with an increase in the weapon system’s capability, the test environment can get highly complex, which can lead to a decrease in the reliability of test results. This issue can be addressed by applying a decision support system that provides various timely information collected by resources during the test process. The decision support system can be designed by applying the concept of digital twins, that are defined as digital replicas of components, systems and processes. This paper describes a design methodology of the decision support system that consists of digital models and service functions using digital twin architecture. A case study illustrates the feasibility of the proposed methodology in supporting the weapon live test process.
在发展阶段进行武器实弹试验的目的是为决策者提供必要的信息,以核实和验证武器的性能能力。随着武器系统性能的不断提高,测试资源的分配和变化很大,导致测试环境变得高度复杂,从而导致测试结果的可靠性降低。这个问题可以通过应用决策支持系统来解决,该系统提供在测试过程中由资源收集的各种及时信息。决策支持系统可以通过应用数字双胞胎的概念来设计,数字双胞胎被定义为组件、系统和流程的数字副本。本文描述了一种采用数字孪生体系结构的由数字模型和服务功能组成的决策支持系统的设计方法。实例研究表明,所提出的方法在支持武器实弹试验过程中的可行性。
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引用次数: 0
Numerical Analysis for Supercavitation Characteristics around Underwater Vehicle according to Ventilated Gas Temperature 基于通风气体温度的水下航行器超空泡特性数值分析
Pub Date : 2022-10-05 DOI: 10.9766/kimst.2022.25.5.487
Hyun-Cheol Hwang, W. Park, N. V. Tu, Donghyun Kim, Nguyen Duy Trong
Supercavitation is a phenomenon in which the cavity covers the entire underwater vehicle. The purpose of this paper is to compare and analyze the thermal effect on the cavity characteristics by changing the ventilated gas temperature through computational analysis. For this study, a homogeneous mixture model based on the 3D Navier-Stokes equation was used. As a phase change model, it is its own code considering both pressure change and temperature change. A dimensionless number Tm was presented to analyze the numerical results, and as the Tm increased, the cavity length increased by about 3.6 times and the cavity width by about 3.3 times at 393.15 K compared to room temperature. Analyzing these thermal effects, it was confirmed that rapid heat exchange and heat transfer between the gas phase and the liquid phase occurred at the location where the ventilated gas was sprayed, affecting the cavity characteristics. In addition, it can be confirmed that the initial cavity surface becomes unstable as the ventilated gas temperature increases, and it can be confirmed based on the numerical analysis results that the critical temperature at which the cavity surface becomes unstable is 373.15 K.
超空化是一种空腔覆盖整个水下航行器的现象。本文的目的是通过计算分析,比较和分析改变通风气体温度对空腔特性的热效应。本研究采用基于三维Navier-Stokes方程的均匀混合模型。作为相变模型,它有自己的代码,同时考虑了压力变化和温度变化。采用无因次数Tm对数值结果进行分析,在393.15 K下,随着Tm的增大,腔长比室温增大约3.6倍,腔宽增加约3.3倍。通过对这些热效应的分析,证实了在通风气体喷射的位置,气相和液相之间发生了快速的换热和换热,影响了空腔的特性。另外,可以确定随着通风气体温度的升高,初始空腔表面变得不稳定,根据数值分析结果可以确定空腔表面变得不稳定的临界温度为373.15 K。
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引用次数: 0
A Study on the Method for Setting the Optimal Maintenance Concept based on RAM-C Using Modeling & Simulation 基于RAM-C的最优维修概念的建模与仿真方法研究
Pub Date : 2022-10-05 DOI: 10.9766/kimst.2022.25.5.530
K. Kim, Kiwon Lee, Jun-O Jeong, Jonghan Cha
Recently, the R&D of weapon systems has been strengthened in terms of economic cost management throughout the entire life cycle from performance. This study proposes the method for setting the optimal maintenance concept based on RAM-C in weapon system acquisition stage by calculating the operation & maintenance cost as well as reliability, availability, and maintainability. First, we design a simulation model for analysis of weapon system logistic supportability. In addition, information such as weapon system Part Breakdown Structure, operation & maintenance system, cost, and etc for simulation analysis, is applied. Based on the obtained simulation results, the optimal plan is selected among alternatives designed with various maintenance concepts through normalization and weight setting. It is expected to be of technical help in the application of RAM-C in the weapon system acquisition stage.
近年来,武器系统的研发从性能上加强了全生命周期的经济成本管理。通过计算运维成本以及可靠性、可用性和可维护性,提出了武器系统采办阶段基于RAM-C的最优维护概念的设定方法。首先,设计了武器系统后勤保障仿真模型。此外,还应用了武器系统零件分解结构、运维系统、成本等信息进行仿真分析。根据得到的仿真结果,通过归一化和权值设置,从不同维修理念的备选方案中选择出最优方案。预计将对RAM-C在武器系统采办阶段的应用提供技术帮助。
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引用次数: 0
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Journal of the Korea Institute of Military Science and Technology
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