2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES)最新文献_第2页

Versatile Hardware Architecture of a Support Platform for Spatial Image Processing Accelerators using Xilinx SoCs 基于赛灵思soc的空间图像处理加速器支持平台的通用硬件架构

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/INES52918.2021.9512909

Aous H. Kurdi, J. Grantner, I. Abdel-Qader

引用次数: 0

Proposal of an Autonomous Vehicle Control Architecture 一种自动驾驶汽车控制体系结构的提出

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/INES52918.2021.9512914

C. Pozna, C. Antonya

引用次数: 1

Scrum guided student projects in Data Warehouse courses at Óbuda University 在Óbuda大学的数据仓库课程中，Scrum指导学生项目

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/INES52918.2021.9512910

E. Nagy, A. Rusznák, Attila Ritzl, Rita Fleiner

引用次数: 0

Review of using Open Source Software for SOC for education purposes – a case study 审查使用开源软件的SOC为教育目的-一个案例研究

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/INES52918.2021.9512928

Anikó Szarvák, Valéria Póser

{"title":"Review of using Open Source Software for SOC for education purposes – a case study","authors":"Anikó Szarvák, Valéria Póser","doi":"10.1109/INES52918.2021.9512928","DOIUrl":"https://doi.org/10.1109/INES52918.2021.9512928","url":null,"abstract":"At present, information security solutions and suitably trained experts with practical experience have a key role to play. Due to the covid-pandemic, people’s tasks without physical contact came to the fore, and remote work became more valuable. At the same time, the number of cyber-attacks has suddenly increased, not even sparing hospitals. The aim of this article is to present how to prepare recent security professionals and future experts for work based on SOC implementation and operation from on threat modeling through applying higher quality Information Security solutions. We use open source software environment as prototype. The goal with SOC based on open source software is to demonstrate the perception of a possible cyberattack, in addition, we present the possibility of using it even in enterprise environment. Basically, by applying this direction for training and education purposes, we achieve experts with comprehensive knowledge on newer type of attacks and defense capabilities while they able to apply quick and even risk-proportionate solutions to challenges. A sufficiently in-depth knowledge of an Open source-based SOC solution for educational purposes helps them prepare for the optimal handling of cyber security threats and facilitate the acquisition of in-depth information in the field of Information Security.","PeriodicalId":427652,"journal":{"name":"2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126447370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Adaptive Neuro-fuzzy Inference System for Automated Skill Assessment in Robot-Assisted Minimally Invasive Surgery 用于机器人辅助微创手术自动技能评估的自适应神经模糊推理系统

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/INES52918.2021.9512924

Kristóf Takács, T. Haidegger

{"title":"Adaptive Neuro-fuzzy Inference System for Automated Skill Assessment in Robot-Assisted Minimally Invasive Surgery","authors":"Kristóf Takács, T. Haidegger","doi":"10.1109/INES52918.2021.9512924","DOIUrl":"https://doi.org/10.1109/INES52918.2021.9512924","url":null,"abstract":"The new kinds of minimally invasive surgical tools and methods require new and complex skillsets from the surgeons, thus the objective skill-based training became essential. This new domain can greatly rely on the automated assessment of surgical skills. There are many devices and approaches to measure different aspects of surgical task accution, however, the results are often hard to interpret. This paper describes an adaptive neuro-fuzzy inference system for the classification of the performance of subjects using a skill assessment device designed for psychomotor skill training for robotic surgical procedures (the FRS Dome). The FRS Dome offers 7 independent surgical tasks, this paper focuses on two of them, since the rest were often impossible to perform for novices. The fuzzy-systems for the two tasks were designed based on 27 performances of subjects with varying skill-levels, the system is capable of scoring the tasks separately, and also scoring the whole performance on all the tasks together on 1-3 scales. In general, the neuro-fuzzy system is capable of optimizing the classification based on future measurements, thus our method will be able to tune the classification of the rest of the tasks based on upcoming trial results.","PeriodicalId":427652,"journal":{"name":"2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132049242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Dynamic Resource Allocation Considering Ergonomics in Intralogistics 考虑人机工程学的内部物流动态资源分配

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/INES52918.2021.9512930

Augusto Urru, Jan Philipp Wezel, M. Bonini, W. Echelmeyer

引用次数: 0

INES 2021 Cover Page INES 2021封面

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/ines52918.2021.9512892

引用次数: 0

Adversarial Autoencoder for trajectory generation and maneuver classification 用于弹道生成和机动分类的对抗性自编码器

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/INES52918.2021.9512929

O. Rákos, Tamás Bécsi, S. Aradi

{"title":"Adversarial Autoencoder for trajectory generation and maneuver classification","authors":"O. Rákos, Tamás Bécsi, S. Aradi","doi":"10.1109/INES52918.2021.9512929","DOIUrl":"https://doi.org/10.1109/INES52918.2021.9512929","url":null,"abstract":"For the development of self-driving cars, it is essential to perceive the environment as accurately as possible and to interpret the movement of the surrounding vehicles. It makes sense to draw conclusions based on the past trajectories of these vehicles, whether it is maneuver detection or, in more complex cases, maneuver or trajectory prediction. Trajectories are time series data, so it is obvious to deploy recurrent neural networks for their analysis, or 1-dimensional convolutional networks that can capture temporal patterns. The concept is presented that trajectories starting from the origin can be compressed efficiently so that the reconstructed trajectory is quite similar to the original, and the latent space code obtained by compression can be used for maneuver detection. Using a variational autoencoder, assuming a normal distribution, the latent spatial distribution can be approximated. However, in this article, the goal was to test this concept with adversarial training, so the so-called adversarial autoencoder is trained. It has been shown that this method is suitable for twelve-fold compression of trajectories, and the latent code is suitable for maneuver detection. This proves that the encoder has learned useful features about the distribution that generates trajectories.","PeriodicalId":427652,"journal":{"name":"2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115157673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent agent based low level control of complex robotic systems 基于智能体的复杂机器人系统低级控制

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/INES52918.2021.9512904

S. Brassai, Attila Kovács

{"title":"Intelligent agent based low level control of complex robotic systems","authors":"S. Brassai, Attila Kovács","doi":"10.1109/INES52918.2021.9512904","DOIUrl":"https://doi.org/10.1109/INES52918.2021.9512904","url":null,"abstract":"The use of intelligent agents, trained with reinforcement learning methods for control of complex mechanical systems, like humanoid robots has the potential to revolutionize the way we think about control problems. This way of learning is very similar to how we humans learn most of the things in our early age, thus proving really promising if we want to make robots able to learn tasks that require some form of intelligence. Throughout the research presented in this paper, a deep neural network based intelligent agent, with Actor-Critic architecture was trained with the Deep Deterministic Policy Gradient algorithm for the purpose of controlling a custom designed humanoid robot. For the training of the agent a simulation model of the physical robot is developed and integrated into a customizable simulated environment. The idea of low, actuator level control of complex systems by neural networks formulates the problem into a more abstract form while keeping the full control of the system without having to deal with the actual level of complexity. This can be further enhanced by expanding the abstraction from the software level to include some part of the hardware as well.","PeriodicalId":427652,"journal":{"name":"2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129895344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Kernel Search for the Generalized Assignment Problem 广义分配问题的核搜索

2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) Pub Date : 2021-07-07 DOI: 10.1109/INES52918.2021.9512916

L. Jánošíková

引用次数: 1