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Temperature Distribution in Biotwarns Dynamics Modeling 生物预警动力学建模中的温度分布
T. Petrova
A widely used way to model the propagation of laser beams in biological tissues is by the Monte-Carlo method. This article focuses on the distribution of temperature in human skin based on the results of the Monte Carlo method for a laser beam with a wavelength of . A mathematical model of the heat transfer process, based on the solution of the differential equations through the finite element method, was introduced. A mathematical model was developed to describes the processes of heat transfer, based on an analytical solution of a system of equations that describe the dynamics of electronic and atomic subsystems. Simulations of the laser beam diffusion and the distribution of temperature in the skin were performed for two types of beams. The results of this work can be used to make an assessment of the energy levels of pulse laser treatment with different durations, during which a damage of biological tissue is observed, as well as to create standards for the safe use of laser systems.
蒙特卡罗方法是一种广泛使用的模拟激光在生物组织中的传播的方法。本文在蒙特卡罗方法的基础上,重点研究了波长为的激光束在人体皮肤中的温度分布。在用有限元法求解微分方程的基础上,建立了传热过程的数学模型。基于描述电子和原子子系统动力学的方程组的解析解,建立了描述传热过程的数学模型。对两种类型的激光束在皮肤中的扩散和温度分布进行了模拟。这项工作的结果可用于评估不同持续时间的脉冲激光治疗的能量水平,在此期间观察到生物组织的损伤,并为激光系统的安全使用制定标准。
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引用次数: 0
Electronic sensor system for registering ECG and PPG signals 用于记录心电和心电信号的电子传感器系统
Krasimir Cheshmedzhiev, Evgeniya Gospodinova, Mitko Gospodinov, Penio Lebamovski
The creation of portable devices for preventive, non-invasive control of the cardiac indicators of the individual is one of the main tasks of medical electronics. The integration of sensors, microcontrollers and interfaces in a compact portable form allows for continuous monitoring of patients with cardiac diseases in order to respond quickly and adequately in critical situations. The article presents an electronic sensor system for synchronous registration of electrocardiography (ECG) and photoplethysmography (PPG) signals, which are subsequently analyzed through developed authoring software. Based on the comparative analysis of the determined heart rate intervals (RR / PP intervals) in terms of the accuracy parameter, it follows that both types of signals: ECG and PPG are suitable for examining the cardiac status of patients, with a relative error being smaller than 3%.
创建便携式设备的预防性,非侵入性控制个人的心脏指标是医疗电子学的主要任务之一。将传感器、微控制器和接口集成在一个紧凑的便携式形式中,可以对心脏病患者进行持续监测,以便在危急情况下迅速和充分地作出反应。本文介绍了一种用于同步配准心电图(ECG)和光容积脉搏波(PPG)信号的电子传感器系统,随后通过开发的创作软件对其进行分析。通过对确定的心率间隔(RR / PP间隔)在准确率参数上的对比分析,可以得出ECG和PPG两种信号都适合用于检测患者的心脏状态,相对误差均小于3%。
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引用次数: 3
Laser Projection System for Continuous Operation in Manufacturing and Educational Use Cases 在制造和教育用例中连续操作的激光投影系统
S. Ilchev, Z. Ilcheva
The paper discusses the creation of a new laser projection system intended for continuous operation. Appropriate application scenarios are considered and some of the problems related to the design and implementation of the system are discussed. The paper proposes and tests an innovative technical approach to the control of the thermoelectric cooling module used in the system. A new electronic unit is designed, developed and tested. It is a major functional block of the system and its main tasks are the temperature regulation, the control of the laser diode brightness and the provision of communication capabilities for remote monitoring and management. Our initial experiments show that the temperature control works very well during long-term operation. The protocol for remote monitoring and management and the desktop software program developed by us provide nice insights into the performance of our temperature management algorithms in the firmware of the system.
本文讨论了一种用于连续操作的新型激光投影系统的创建。考虑了系统的应用场景,讨论了系统设计和实现中的一些问题。本文提出并测试了一种创新的技术方法来控制系统中使用的热电冷却模块。设计、开发和测试了一种新的电子装置。它是系统的主要功能模块,其主要任务是温度调节、激光二极管亮度控制以及为远程监控和管理提供通信能力。初步实验表明,在长期运行过程中,温度控制效果良好。我们开发的远程监控和管理协议以及桌面软件程序为我们的温度管理算法在系统固件中的性能提供了很好的见解。
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引用次数: 0
Evolving 1D Convolutional Neural Networks for Human Activity Recognition 进化的一维卷积神经网络用于人类活动识别
S. Tsokov, Milena Lazarova, A. Aleksieva-Petrova
Human activity recognition is an important research field with a variety of applications in healthcare monitoring, fitness tracking and in user-adaptive systems in smart environments. The problem of human activity recognition can be solved using a 1D convolutional neural network (CNN) trained with accelerometric data. The design of an appropriate CNN architecture for solving a particular problem is not an easy task and usually requires considerable specialized knowledge to setup the network hyperparameters based on experimental evaluation. This article proposes an automated approach for CNN architecture optimization that uses genetic algorithms. The suggested approach for evolution of the architecture of 1D CNN is evaluated on two data sets for accelerometer-based human activity recognition and the results show that the GA based CNN design generates CNN architectures with competitive performance compared to the usage of other manually designed CNN models.
人体活动识别是一个重要的研究领域,在健康监测、健身跟踪和智能环境下的用户自适应系统中有着广泛的应用。人类活动识别问题可以通过使用加速度数据训练的一维卷积神经网络(CNN)来解决。设计一个合适的CNN架构来解决一个特定的问题并不是一件容易的事情,通常需要相当多的专业知识来设置基于实验评估的网络超参数。本文提出了一种使用遗传算法进行CNN架构优化的自动化方法。在两个基于加速度计的人类活动识别数据集上对所提出的一维CNN架构进化方法进行了评估,结果表明,与使用其他手动设计的CNN模型相比,基于遗传算法的CNN设计生成的CNN架构具有竞争力。
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引用次数: 2
Preliminary Study on Motion Planning with Obstacle Avoidance for Hard Constrained Redundant Robotic Manipulators 硬约束冗余机器人避障运动规划的初步研究
Lyubomira Miteva, Kaloyan Yovchev, I. Chavdarov
The motion planning for robotic manipulators is one of the most important and challenging problems of the robot control. The primary task of a robotic manipulator is to move its end-effector from an initial position and orientation to a predefined goal position and orientation. This research considers motion planning with obstacle avoidance for planar redundant robots with constrained joint space. It analyses their kinematics and defines the different types of inverse kinematics solutions. On the basis of those types of solutions in the robot workspace are defined zones corresponding to each solution type. The research proposes a numerical approach for finding the specific points at which the robot can change its solution type. Those points are of interest when the robot has to execute a motion which passes through different zones of the workspace which are not intersecting. In such cases the robot is required to pass through some of those points in order to be able to change the solution type and to execute the desired motion. The approach applicability is validated through conducted experiments.
机器人机械手的运动规划是机器人控制中最重要和最具挑战性的问题之一。机械臂的主要任务是将其末端执行器从初始位置和姿态移动到预定的目标位置和姿态。研究了关节空间受限的平面冗余度机器人的避障运动规划问题。分析了它们的运动学,定义了不同类型的逆解。在这些解类型的基础上,在机器人工作空间中定义相应于每种解类型的区域。该研究提出了一种数值方法来寻找机器人可以改变其解类型的特定点。当机器人必须执行一个运动穿过工作空间的不同区域时,这些点是有意义的。在这种情况下,机器人需要通过其中一些点,以便能够改变解的类型并执行所需的运动。通过实验验证了该方法的适用性。
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引用次数: 2
A study on Vietnamese undergraduates’ level of digital skills and the frequency of using digital tools in the EFL context 越南大学生数字技能水平及在英语语境下使用数字工具频率的研究
L. Nguyen, A. Habók
The current study aims to examine the digital skill level of 369 Vietnamese sophomores in the EFL context. An adapted instrument was translated and revised multiple times before administering the final version of the questionnaire to students. The findings of the research have revealed that students have sufficient digital facilities and they are familiar with using technologies for their language learning. Furthermore, students have achieved an average level of digital skill, and they are most proficient in using social networking services in comparison with other applications. Concerning the frequency of using digital tools, students reported that they do not often utilize digital applications in their language learning. Among applications, students more often use social media than other tools. Besides, the study also explored that there are correlations among digital skill, the frequency of using technology and the ICT facilities and ICT familiarity. It is suggested that there is a necessity in curriculum or teaching methodology changes to create opportunities for students to enhance their digital skills in their language learning in particular and in education in general as they are the digital ‘natives’ of the community.
本研究旨在调查369名越南二年级学生在英语语境下的数字技能水平。在向学生发放问卷的最终版本之前,经过多次翻译和修订的改编工具。研究结果表明,学生拥有足够的数字设备,并且他们熟悉使用技术进行语言学习。此外,学生的数字技能达到了平均水平,与其他应用相比,他们最熟练地使用社交网络服务。关于使用数字工具的频率,学生报告说他们不经常在语言学习中使用数字应用程序。在应用程序中,学生使用社交媒体的频率高于其他工具。此外,本研究还探讨了数字技能、技术使用频率与ICT设施和ICT熟悉程度之间的相关关系。建议有必要改变课程或教学方法,为学生创造机会,提高他们的数字技能,特别是在他们的语言学习和一般教育中,因为他们是社区的数字“原住民”。
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引用次数: 4
Detection and Classification of Malicious Software based on Regional Matching of Temporal Graphs 基于时间图区域匹配的恶意软件检测与分类
Helen-Maria Dounavi, Anna Mpanti, Stavros D. Nikolopoulos, Iosif Polenakis
In this paper we present an integrated graph-based framework that utilizes relations between groups of System-calls, in order to detect whether an unknown software sample is malicious or benign, and to a further extent to classify it to a known malware family. A novel graph-based approach for the representation of software samples over the depiction of the structural evolution over time, the so-called Temporal Graphs, is discussed, and a method for measuring graph similarity among specific Regions of such graphs is proposed, the so-called Regional Matching. The partitioning of the Temporal Graphs that depicts their structural evolution over time is defined by specific time-slots, while the quantitative characteristics that depict the commonalities appeared over the weights of the vertices are measured by a similarity metric in order to conduct the malware detection and classification procedures. Finally, we evaluate the detection and classification ability of our proposed graph-based framework performing an experimental study over the achieved results utilizing a set of known malicious samples that are indexed into malware families.
在本文中,我们提出了一个集成的基于图的框架,该框架利用系统调用组之间的关系来检测未知的软件样本是恶意的还是良性的,并进一步将其分类为已知的恶意软件家族。讨论了一种新的基于图的方法来表示软件样本随时间的结构演变的描述,即所谓的时间图,并提出了一种测量这种图的特定区域之间的图相似性的方法,即所谓的区域匹配。描述其结构随时间演变的时间图的划分由特定的时隙定义,而描述在顶点权重上出现的共性的定量特征通过相似性度量来测量,以便进行恶意软件检测和分类过程。最后,我们评估了我们提出的基于图的框架的检测和分类能力,利用一组已知的恶意样本对恶意软件家族进行了索引,并对取得的结果进行了实验研究。
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引用次数: 1
Simulation of long-term Heart Rate Variability records with Gaussian distribution functions 用高斯分布函数模拟长期心率变异性记录
G. Georgieva-Tsaneva
The work presents an algorithm for mathematical modeling long-term Heart Rate Variability data using Gaussian distribution functions. The representation of the cardiac series in time domain is performed using an inverse wavelet transform. The transform is implemented with different Daubechies wavelet bases and is compared with the implementation of the algorithm with the classical Fourier transform. The created time sequences are analyzed in terms of the wavelet bases (Db4, Db6, Db8, Db12, Db20) used and the required CPU time for implementation of the program procedure. The obtained results show higher IT efficiency of the presented algorithm, realized with Daubechies transform.
提出了一种利用高斯分布函数对长期心率变异性数据进行数学建模的算法。心脏序列的时域表示是用小波反变换进行的。利用不同的小波基实现了该变换,并与经典的傅里叶变换实现算法进行了比较。根据所使用的小波基(Db4, Db6, Db8, Db12, Db20)和实现程序过程所需的CPU时间来分析所创建的时间序列。结果表明,采用Daubechies变换实现的算法具有较高的IT效率。
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引用次数: 5
Innovative Software System for Complex Application of Platelet Rich Plasma in Problematic Skin Wounds 富血小板血浆在问题皮肤伤口复杂应用的创新软件系统
A. Manukova, T. Sokolov, Matey Marinov
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引用次数: 2
Intelligent Technologies in E-Learning: Personalization and Interoperability 电子学习中的智能技术:个性化和互操作性
T. Ivanova, V. Terzieva, M. Ivanova
Many educational systems are focused predominantly on such an organization of the learning process to be uniform for all learners. This approach is not the best for many learners, especially for those with various difficulties or interests. Strategies for personalization and adaptation can increase the tutoring quality and ensure efficient learning for groups of learners with different needs, goals, or interests. Intelligent technologies can enable the personalization of the learning process. However, no one system can contain all the knowledge needed for all learners, so interoperability between e-learning systems is of greater importance. Standards are needed for ensuring interoperability, but they are not sufficient. This paper first analyzes and classifies sources for learning on the Internet. The findings help to develop a knowledge model needed for a personalized recommendation of web-based sources, complementary to the learning content that a well-organized intelligent educational system can propose to learners. Having in mind specifics of the ontologies needed for modeling the learning domain, a model of the ontological repository for storing ontologies that can be useful for building intelligent educational systems is suggested. We also discussed mapping problems between ontologies and modeling e-learning standards.
许多教育系统主要关注这样一种学习过程的组织,使所有学习者都能统一学习。这种方法对许多学习者来说并不是最好的,尤其是对那些有各种困难或兴趣的学习者。个性化和适应性策略可以提高辅导质量,确保具有不同需求、目标或兴趣的学习者群体有效学习。智能技术可以实现学习过程的个性化。然而,没有一个系统可以包含所有学习者所需的所有知识,因此电子学习系统之间的互操作性变得更加重要。确保互操作性需要标准,但只有标准是不够的。本文首先对网络学习资源进行了分析和分类。这些发现有助于开发个性化推荐网络资源所需的知识模型,补充组织良好的智能教育系统可以向学习者推荐的学习内容。考虑到建模学习领域所需的本体的细节,建议使用本体存储库的模型来存储可用于构建智能教育系统的本体。我们还讨论了本体和建模电子学习标准之间的映射问题。
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引用次数: 4
期刊
Proceedings of the 22nd International Conference on Computer Systems and Technologies
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