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2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)最新文献

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Saw-YOLOv5: Scale-Aware YOLOv5 for Object Detection in Aerial Images Saw-YOLOv5:航空图像中目标检测的比例感知YOLOv5
Abdullah Enes Doruk, Müçteba Algül, Feyzullah Akyürek, Osman Kürşat Alpaydm, F. Uslu
The detection of objects in aerial images is impor-tant for many real world problems related to military defense, transportation, and etc. However, this is a challenging task as a result of the presence of various scales of objects in the same image, the large variety of contexts across aerial images, various brightness levels due to image acquisition at different times of the day and so on. To address these challenges, this paper introduces Saw-YOLOv5 for object detection in aerial images. Saw-YOLOv5 is a deep network based on YOLOv5, which was proposed for object detection in natural images. Saw-YOLOv5 extends YOLOv5 with the addition of several attention modules in its design. The results of our experiments, conducted on the aerial dataset delivered by the Turkey Technology Team for the Artificial Intelligence in Transportation Competition, showed that Saw-YOLOv5 outperforms previous methods, particularly for pedestrian detection, by yielding a mean mAP of 80.23% over all objects.
航空图像中的目标检测对于军事防御、交通运输等现实世界中的许多问题都具有重要意义。然而,这是一项具有挑战性的任务,因为在同一张图像中存在不同尺度的物体,航空图像中各种各样的背景,由于一天中不同时间的图像采集而产生的不同亮度水平等等。为了解决这些挑战,本文介绍了用于航空图像目标检测的Saw-YOLOv5。Saw-YOLOv5是在YOLOv5的基础上提出的一种用于自然图像中目标检测的深度网络。Saw-YOLOv5扩展了YOLOv5,在其设计中增加了几个注意力模块。我们在土耳其技术团队为交通运输人工智能竞赛提供的航空数据集上进行的实验结果表明,Saw-YOLOv5优于以前的方法,特别是在行人检测方面,在所有物体上产生80.23%的平均mAP。
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引用次数: 0
Güven Bölgesi Çerçevesi Algoritması ile 28/38 GHz Anten Tasarımı
Ahmet Turğut, Begum Korunur Engiz, E. Bayram
Özet—Bu çalışmada, 5G uygulamaları için Güven Bölgesi Çerçevesi algoritması kullanılarak, 28/38 GHz frekans bantlarında çalışan çift bantlı, ters-F şekilli anten tasarımı gerçekleştirilmiştir. Önerilen çift bantlı anten kompakt bir yapıya sahiptir ve çalışma kapsamındaki tüm benzetimler PCB baskılı devre kartı üzerinde gerçekleştirilmiştir. Algoritmaya bağlı olarak gerçekleştirilen optimizasyonlar sayesinde, 28 GHz ve 38 GHz frekans bantlarında, frekansta kayma olmaksızın, antenin mükemmel şekilde yayın yapması sağlanmıştır. CST STUDIO SUITE kullanılarak elde edilen benzetim sonuçları, tasarlanan antenin 28 GHz ve 38 GHz’de 25 dB kazanç sunduğunu göstermektedir. Bununla birlikte elde edilen, 27.593-28.365 GHz (%2.75) ve 37.3-38.557 GHz (%3.3) göreceli bant genişlikleri ve belirtilen frekans bantlarındaki ışıma örüntüleri, önerilen tasarımın 5G mobil iletişim için uygun bir aday olduğunu ortaya koymaktadır.
摘要--在本研究中,采用可信区域框架算法设计了一种工作在 28/38 GHz 频段的双频倒 F 型天线,用于 5G 应用。拟议的双频天线结构紧凑,研究范围内的所有仿真均在 PCB 印刷电路板上进行。得益于基于算法的优化,该天线可以在 28 GHz 和 38 GHz 频段内完美传输,且不会出现频率漂移。使用 CST STUDIO SUITE 获得的仿真结果显示,所设计的天线在 28 GHz 和 38 GHz 频段的增益为 25 dB。此外,所获得的 27.593-28.365 GHz(2.75%)和 37.3-38.557 GHz(3.3%)相对带宽以及在这些频段的辐射模式表明,所提出的设计是 5G 移动通信的合适候选方案。
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引用次数: 0
Design and implementation of power convertor circuit toward electric vehicle charging applications 电动汽车充电电源转换电路的设计与实现
Fawaz Y. Abdullah, M. T. Yaseen, Firas S. Alsharbaty
To protect conventional energy supplies and maintain the sustainable growth of society, electric vehicle charging stations connected to the network are combined with renewable energies. The green (renewable) energy storage system in the charging stations not only allows for uncomplicated charging but also allows for quick grid demand variations. The instability of renewable energy is the key obstacle in this notion. As the charging station's energy storage system is directly connected to a solar panel or other renewable energy source, the converter should be able to produce a regulated output of the necessary magnitude in response to fluctuating and insufficient input power. Under circumstances of high gain, using a traditional converter for this purpose will lead to low charging efficiency. This work submits a hybrid synchronous back (HSB) converter to compensate the mentioned issue. The maximum efficiency is handled for a variable input range of 15–45 V to offer 14 V in term of output voltage. The work is validated by design a 200W HSB converter prototype.
为了保护传统能源供应,保持社会的可持续发展,连接网络的电动汽车充电站与可再生能源相结合。充电站的绿色(可再生)能源存储系统不仅允许简单的充电,而且允许快速的电网需求变化。可再生能源的不稳定性是这一理念的主要障碍。由于充电站的储能系统直接与太阳能电池板或其他可再生能源相连,因此变流器应能够在输入功率波动和不足时产生必要幅度的调节输出。在高增益的情况下,使用传统的变换器会导致充电效率低。本文提出了一种混合同步反向(HSB)变换器来补偿上述问题。最大效率处理为15-45 V的可变输入范围,以提供14 V的输出电压。通过设计一台200W的HSB变换器样机,验证了该方法的有效性。
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引用次数: 0
Artificial Intelligence Based Transportation System 基于人工智能的交通系统
Tunç Taner, Hasan Tolga Ünal, A. Mendi, Ömer Özkan, M. A. Nacar
Artificial intelligence (AI) is being utilized in various fields today to automate business processes, optimize decision-making processes, and contribute to the development of diverse applications that aim to improve life quality. This study examines the installation of a computer vision and central video management system that aims to enhance passenger satisfaction, local government reputation, and traffic safety in buses. Image data collected through IP cameras and NVR devices are analyzed by a computer vision system based on Convolutional Neural Networks (CNN). The analysis is used to detect prominent behaviors such as smoking, not wearing seat belts, or using mobile phones while driving. The study demonstrates that this technology plays a significant role in identifying and potentially preventing specific behaviors of bus drivers. The system highlights the potential of such technology to enable central control and management of public transportation systems, enhance the overall quality and safety of bus services, and emphasizes the future potential benefits. The results indicate a decrease of approximately 93% in these behaviors after implementing the system, thus achieving its intended purpose.
今天,人工智能(AI)被用于各个领域,以实现业务流程的自动化,优化决策过程,并为旨在提高生活质量的各种应用程序的开发做出贡献。本研究探讨巴士安装电脑视觉及中央影像管理系统,以提升乘客满意度、地方政府声誉及交通安全。通过IP摄像机和NVR设备收集的图像数据通过基于卷积神经网络(CNN)的计算机视觉系统进行分析。该分析用于检测吸烟、不系安全带或开车时使用手机等突出行为。该研究表明,该技术在识别和潜在预防公交司机的特定行为方面发挥了重要作用。该系统强调该技术的潜力,使公共交通系统得以集中控制和管理,提高巴士服务的整体质素和安全,并强调未来的潜在效益。结果表明,在实施该系统后,这些行为减少了约93%,从而达到了预期的目的。
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引用次数: 0
Review of User Experience Models in The Context of eLearning Setting 电子学习背景下的用户体验模型综述
Mohammed Hassan Mohammed Alhejaili, Roslina Ibrahim
Since of the Internet and new technologies, eLearning has emerged as the most viable option. The undeniable significance of e-learning in the sphere of education has led in a rapid increase in the number of e-learning courses and systems that offer a broad range of educational services to their users. There is a lack of studies regarding the use of electronic learning (eLearning) to improve teaching and learning in educational institutions. Several UX evaluation studies of eLearning simply contain dimensions and criteria in the literature study. However, the UX factors, criteria, and metrics are lacking from the UX evaluation models. The objectives of this research are to identify the most related models used to assess user experience in eLearning as well as to determine the prevalence of study location namely, schools or higher education. This review includes, among other things, various publications that were published between the years 2017 and 2022. The discussion mainly focused on the current issues that are being faced by the field, as well as the opportunities for research that exist in the domain.
由于互联网和新技术的出现,电子学习已经成为最可行的选择。电子学习在教育领域不可否认的重要性导致电子学习课程和系统的数量迅速增加,为用户提供广泛的教育服务。关于利用电子学习(eLearning)来改善教育机构的教与学,目前还缺乏相关研究。一些关于电子学习的用户体验评估研究仅仅包含了文献研究中的维度和标准。然而,用户体验评估模型缺乏用户体验因素、标准和指标。本研究的目的是确定用于评估电子学习用户体验的最相关模型,以及确定学习地点(即学校或高等教育)的流行程度。本次审查包括2017年至2022年间出版的各种出版物。讨论主要集中在该领域面临的当前问题,以及该领域存在的研究机会。
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引用次数: 0
Moving Object Detection Based on Enhanced Yolo-V2 Model 基于增强型Yolo-V2模型的运动目标检测
Mukaram Safaldin, Nizar Zaghden, M. Mejdoub
Object detection is a crucial aspect of computer vision, and deep learning has led to significant advancements in this area. Object categorization, segmentation, and localization have been improved with the use of deep models. Two-stage detectors have higher identification precision, while single-stage detectors have better inference times. You Only Look Once (YOLO) and its successors have shown improved detection accuracy and speed, making them popular in a wide range of applications. This paper proposes an improved YOLO-v2 for detecting tiny objects. The proposed detector is evaluated using the VOC 2012 benchmark dataset, and the experimental results show that it outperforms state-of-the-art detectors in terms of detection accuracy, precision, recall, and IOU. The proposed detector achieved 95.8% detection accuracy, 96.1% precision, 95.5% recall, and 95% IOU.
目标检测是计算机视觉的一个重要方面,深度学习在这一领域取得了重大进展。使用深度模型改进了对象分类、分割和定位。两级检测器具有较高的识别精度,而单级检测器具有较好的推理时间。You Only Look Once (YOLO)及其后续产品显示出更高的检测精度和速度,使其在广泛的应用中广受欢迎。本文提出了一种改进的YOLO-v2用于微小目标的检测。使用VOC 2012基准数据集对所提出的检测器进行了评估,实验结果表明,它在检测准确性、精密度、召回率和IOU方面优于最先进的检测器。该检测器的检测准确率为95.8%,精密度为96.1%,召回率为95.5%,IOU为95%。
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引用次数: 0
Implementation of Information and Communication Technologies in the Educational Process 信息与通信技术在教育过程中的应用
Y. Sokol, O. Trush, S. Yevseiev, O. Milov
The development of smart technologies, the growth of computing capabilities allows us to expand the range of services in educational institutions. In addition, prerequisites are being formed for the integration of management functions with the educational functions of the university, which makes it possible to form a new type - an active innovative university. This approach allows us to transform not only digital education services, but also the formation of a start-up orientation and entrepreneurial activity among students, the formation of electronic document management based on modern technologies. In addition, an active innovative university, the university of the future education platform 5.0, requires the deployment of a corporate information and educational system (CIES) of the university, in which almost all functions are integrated. The paper proposes a model for deploying a corporate ITS that allows you to form the prerequisites for the transition to the education platform 5.0, in which, based on the Concept of multi-loop security, it is proposed to provide counteraction to modern targeted threats. It is proposed to use a key certification center based on the X.509 standard as the basis for the security system and functionality of the KIOS, which will expand the range of digitalization of the university's web platform and ensure an increase in the university's rating in the Webometrics assessment system.
智能科技的发展和计算能力的增长,使我们能够扩大教育机构的服务范围。此外,还为大学的管理职能与教育职能的融合创造了先决条件,这为形成一种新型的积极创新的大学提供了可能。这种方式使我们不仅能够转变数字化教育服务,而且能够在学生中形成创业导向和创业活动,形成基于现代技术的电子文档管理。此外,一所积极创新的大学——未来教育平台大学5.0,要求部署一所大学的企业信息与教育系统(CIES),该系统几乎集成了所有功能。本文提出了一个部署企业ITS的模型,该模型允许您形成向教育平台5.0过渡的先决条件,其中基于多环安全概念,提出了对现代目标威胁的反击。建议使用基于X.509标准的密钥认证中心作为KIOS安全系统和功能的基础,这将扩大大学网络平台的数字化范围,并确保提高大学在Webometrics评估系统中的评级。
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引用次数: 1
Project-based Teaching of Students with Development of a Smart Control of the Free Range Chicken House 基于项目化教学的放养鸡舍智能控制系统的开发
N. Valov
This paper describes an example of project-based teaching of students in engineering courses, oriented in automation and control, IoT and development of smart systems. In classical types of teaching students are the passive side and are expected to memorize the information presented by the lecturers. Project-based learning provokes thinking and helps motivate learners. An exemplary solution is described by a student team that developed, together with a teacher, a system for monitoring environmental indicators inside and outside a room for raising chickens and for controlling the door of the room according to the light outside. Blynk is used as a development platform for the software part of the system. A general architecture of hardware modules of the system, circuit diagram and screens of the software subsystem are presented. Working on the project helped the students a lot to become more confident and ambitious, successfully solving the small tasks of the project motivated them to finish it on time.
本文介绍了一个面向自动化与控制、物联网和智能系统开发的工程类课程的项目式教学实例。在经典的教学类型中,学生是被动的一方,被期望记住讲师所提供的信息。基于项目的学习激发思考,并有助于激励学习者。一个学生团队与一名教师一起开发了一个系统,用于监测养鸡房间内外的环境指标,并根据外部光线控制房间的门,这是一个示范性的解决方案。系统的软件部分使用Blynk作为开发平台。给出了系统硬件模块的总体结构,软件子系统的电路图和界面。参与项目让学生们变得更加自信和雄心勃勃,成功解决项目中的小任务激励他们按时完成项目。
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引用次数: 0
Wireless JTAG to USB Emulator Architecture 无线JTAG到USB仿真器架构
A. Kaplan, FŅrat Hardalaç, Fatih Uysal
In today's aviation industry, the production of avionic equipment that adheres to the compulsory standards for both military and civilian avionic systems is essential. For this reason, as a result of various studies carried out within the scope of the application of the relevant standards to avionic equipment, additional labor and financial expenditures are needed by the manufacturers. It is necessary to provide access to the programmable integrated circuits of the relevant avionic equipment in order to change the configurations of these avionic equipment. This implies that the avionic equipment needs to be opened, physically. This situation leads to the re-application of some test practices included in the standards related to environmental conditions and tests such as MIL-STD-160 and DO-160, to which the aircraft is subject, to the aforementioned avionic equipment. Thus, the repetition of many test procedures previously specified as a requirement by the standard occurs. As a result of the repetition of these tests, it is inevitable that extra labor and financial expenses arise. The fact that the relevant workforce and expenditures are made within the scope of avionic equipment whose design and production process has been completed cause manufacturers not to provide the necessary importance and financial contribution to their new projects. In order to eliminate these problems, within the scope of the subject of the paper, a design architecture that will enable the configuration update of the programmable integrated circuit with Joint Test Action Group (JTAG) interface using JTAG to Universal Serial Bus (USB) converter integrated circuit via Wi-Fi has been created. In addition, studies to ensure the security of the wireless network to be used within the scope of the related design architecture are also mentioned. This design architecture allows configuration updates to be made over the secure network without opening avionic equipment physically, eliminating the expected additional labor and financial costs.
在当今的航空工业中,生产符合军用和民用航空电子系统强制标准的航空电子设备是必不可少的。因此,在航空电子设备适用相关标准的范围内进行了各种研究,制造商需要额外的劳动力和财务支出。为了改变这些航空电子设备的配置,有必要提供对相关航空电子设备的可编程集成电路的访问。这意味着航空电子设备需要从物理上打开。这种情况导致对上述航空电子设备重新采用与环境条件和测试有关的标准中的一些测试方法,例如飞机必须遵守的MIL-STD-160和DO-160。因此,许多先前被标准规定为要求的测试过程的重复出现。由于这些测试的重复,不可避免地会产生额外的劳动力和财务费用。有关的人力和支出都是在设计和生产过程已经完成的航空电子设备范围内进行的,这一事实导致制造商没有为其新项目提供必要的重要性和财政贡献。为了消除这些问题,在本文的主题范围内,创建了一种设计架构,使具有JTAG (Joint Test Action Group,联合测试行动组)接口的可编程集成电路能够通过Wi-Fi通过JTAG与通用串行总线(USB)转换集成电路进行配置更新。此外,还对在相关设计架构范围内保证无线网络使用的安全性进行了研究。这种设计架构允许在不打开航空电子设备的情况下通过安全网络进行配置更新,从而消除了预期的额外劳动力和财务成本。
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引用次数: 0
Cellular Automata, S-Box and DNA Coding Based SPN for Image Encryption 基于细胞自动机、S-Box和DNA编码的SPN图像加密
Omar Omran, Wassim Alexan
The rapidly increasing transmission of multimedia through the Internet and insecure communication channels is challenging scientists and engineers to develop efficient security measures. An image encryption algorithm is proposed in this paper to help solve such a problem. The proposed algorithm is carried out in 3 stages. The first stage employs Rule 30 cellular automata to generate the first encryption key. The second stage makes use of a tried-and-true S-box. Finally, in the third stage, DNA encoding is used to generate the second encryption key. The overall effect of this 3-stage process ensures that a cryptographic system's Shannon's confusion and diffusion properties are employed, thereby improving the security and robustness of the resulting encrypted images.
通过互联网和不安全的通信渠道快速增加的多媒体传输对科学家和工程师提出了开发有效的安全措施的挑战。为了解决这一问题,本文提出了一种图像加密算法。该算法分3个阶段进行。第一阶段使用Rule 30元胞自动机生成第一个加密密钥。第二阶段使用久经考验的S-box。最后,在第三阶段,使用DNA编码来生成第二个加密密钥。这三阶段过程的总体效果确保了加密系统的香农混淆和扩散特性得到利用,从而提高了最终加密图像的安全性和鲁棒性。
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引用次数: 0
期刊
2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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