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The Role of Attorney’s Request as a Communication Instrument in Advocacy

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Journal of Forensic Science and Medicine 2024年第1期10卷 34-41页

作者： mykola Inshyn Rostyslav Shchokin Inna Semenets-Orlova Olha Kravchenko Maryna Barsuk Department of Labor and Social Security Law Taras Shevchenko National University of KyivKyivUkraine Department of Public Administration Interregional Academy of Personnel ManagementKyivUkraine Department of Administrative Financial and Banking LawInterregional Academy of Personnel ManagementKyivUkraine Law Enforcement and Anti-Corruption Department Interregional Academy of Personnel ManagementKyivUkraine Judge of Northern Commercial Court of Appeal KyivUkraine

Background:The analysis of communication tools used in advocacy is currently a topical research problem in the context of dynamic information communication in the sociopolitical space.Aims and Objectives:The aim of the study was to analyze the attorney’s request as a means of obtaining information by attorneys to carry out their professional activity.Materials and Methods:The research was conducted with the help of numerous methods,the method of expert interviews being the leading one.It was used to single out the procedural characteristics and prospects of the attorney’s request in presentday Ukraine.Results:Attention is drawn to a number of issues that complicate the process of submitting attorney’s request and a proper use of this mechanism and procedure by an attorney.The ratification of the EU-Ukraine Association Agreement opens up new prospects not only for Ukrainian and European producers but also provides for interesting objectives for attorneys to consult the private sector in the process of building new markets.Conclusion:In this article,it was suggested to compare and analyze the issue of the attorney’s request in Ukrainian and Polish legal framework.As a result of the research,problems were identified,and proposals were made for a simplified procedure for submitting an attorney’s request as a communication instrument in advocacy.

关键词： Attorney’s request confidential information free legal aid legal communication legal practice

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一种提升均匀自由度的稀疏阵列设计

西安电子科技大学学报 2024年

作者：戚连刚张义权国强王亚妮 KALIUZHNYI mykola 哈尔科夫国立无线电电子大学先进问题科学研究室哈尔滨工程大学信息与通信工程学院先进船舶通信与信息技术工业和信息化部重点实验室

针对压缩阵元间距的互质阵列差分共阵存在孔洞、均匀自由度低导致欠定波达方向估计性能受限的问题，提出了一种改进的稀疏阵列设计。首先，通过分析阵列结构对差分共阵冗余性与孔洞位置的影响，得出调整压缩阵元间距的互质阵列的子阵列... 详细信息

针对压缩阵元间距的互质阵列差分共阵存在孔洞、均匀自由度低导致欠定波达方向估计性能受限的问题，提出了一种改进的稀疏阵列设计。首先，通过分析阵列结构对差分共阵冗余性与孔洞位置的影响，得出调整压缩阵元间距的互质阵列的子阵列位置，能够有效地减少差分共阵的冗余，增加连续延迟，提高均匀自由度；其次，调整子阵列阵元位置，给出设计稀疏阵列物理阵元位置的闭式表达式；然后，根据阵元位置推导得到提出的稀疏阵列自由度、均匀自由度以及差分共阵孔洞位置的闭式表达式。理论分析表明，相同阵元数目时，相较于压缩阵元间距的互质阵列及其改进稀疏阵列，该稀疏阵列具有更高的自由度、均匀自由度。最后，利用基于空间平滑的多重信号分类算法，在多种场景下展开波达方向估计仿真实验。结果表明，提出的稀疏阵列在多种实验条件下均具有更优的波达方向估计性能，验证了该设计的有效性。

关键词：互质阵列均匀自由度波达方向多重信号分类

Research of vibrations effect on hydraulic valves in military vehicles

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Defence Technology（防务技术） 2023年第12期30卷 111-125页

作者： MichałStosiak mykola Karpenko Olegas Prentkovskis Adam Deptuła Paulius Skackauskas Faculty of Mechanical Engineering Wrocław University of Science and TechnologyUl.I.Łukasiewicza 7/950-371WrocławPoland Faculty of Transport Engineering Vilnius Gediminas Technical UniversityPlytin_es G.2710105VilniusLithuania Faculty of Production Engineering and Logistics Opole University of TechnologyUl.Proszkowska 7645-758OpolePoland

The paper discusses minimizing the effect of external mechanical vibration on hydraulic valves in different military hydraulic drive systems.The current research work presents an analysis of the potential to reduce vibration on the valve casing by installing a valve flexibly on a vibrating surface,i.e.,by introducing a material with known stiffness and damping characteristics between the valve casing and the vibrating surface-a steel spring package or special cushions made of elastomer material or of oilresistant rubber.The article also demonstrates that elastomer cushions placed inside the valve casingbetween the casing and the centering springs-can be used as a supplementary or alternative solution in the analyzed method for mitigating the transfer of vibrations.By using materials with appropriately selected elastic and dissipative properties,the effectiveness of vibro-isolation can be increased.The presented theoretical analyzes by linear and non-linear mathematical models have been verified experimentally.

关键词： Military application Hydraulic valve Vibration Passive vibro-isolation Spring package

Measuring End-to-End Delay in Low Energy SDN IoT Platform

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Computers, Materials & Continua 2022年第1期70卷 19-41页

作者： mykola Beshley Natalia Kryvinska Halyna Beshley Orest Kochan Leonard Barolli Department of Telecommunications Lviv Polytechnic National University79013 LvivUkraine Department of Information Systems Faculty of ManagementComenius University in Bratislava82005 BratislavaSlovakia Department of Information and Communication Engineering Faculty of Information EngineeringFukuoka Institute of Technology(FIT)3-30-1 Wajiro-HigashiHigashi-KuFukuoka 811-0295Japan

In this paper,we developed a new customizable low energy Software Defined Networking(SDN)based Internet of Things(IoT)platform that can be reconfigured according to the requirements of the target IoT applications.Technically,the platform consists of a set of low cost and energy efficient single-board computers,which are interconnected within a network with the software defined configuration.The proposed SDN switch is deployed on Raspberry Pi 3 board usingOpen vSwitch(OvS)software,while theFloodlight controller is deployed on the Orange Pi Prime board.We firstly presented and implemented the method formeasuring a delay introduced by each component of the IoT infrastructure,ranging from the sensor,the core of SDN,the IoT broker,to an IoT subscriber.Thus,we presented the approach for estimating energy efficiency for SDN based IoT platform proportional to the traffic.The experiments carried out on a real SDN topology based on single-board computers show that our approach not only saves up to 53.56%of energy at low traffic intensity,but also provides QoS guarantee for IoT applications.

关键词： Internet of things software defined networking openflow open vswitch raspberry-pi

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基于单通道多尺度图神经网络的自动调制识别

电子与信息学报 2023年第5期45卷 1575-1584页

作者：国强聂孟允戚连刚 Kaliuzhnyi mykola 哈尔滨工程大学信息与通信工程学院哈尔滨150001 先进船舶通信与信息技术工业和信息化部重点实验室哈尔滨150001 哈尔科夫国立无线电电子大学哈尔科夫61166

针对自适应可见性图(AVG)算法复杂度过高且精度提升不明显的缺点,该文提出一种基于单通道多尺度图神经网络(SMGNN)的自动调制识别(AMR)框架,并对框架各个部分进行了可解释性研究。首先利用多层感知机和1维卷积自适应地实现了单通道信号... 详细信息

针对自适应可见性图(AVG)算法复杂度过高且精度提升不明显的缺点,该文提出一种基于单通道多尺度图神经网络(SMGNN)的自动调制识别(AMR)框架,并对框架各个部分进行了可解释性研究。首先利用多层感知机和1维卷积自适应地实现了单通道信号序列和图之间的映射,有效降低了AVG算法的复杂度;其次,设计了一种多尺度图神经网络,将不同分辨率的特征进行融合,提升了模型识别准确率。实验表明,该文提出的SMGNN算法相比于AVG算法节省了近1/2的参数量,且识别精度得到了较大的提升。

关键词：自动调制识别图神经网络自适应可见性图特征融合

Deep Semisupervised Learning-Based Network Anomaly Detection in Heterogeneous Information Systems

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Computers, Materials & Continua 2022年第1期70卷 413-431页

作者： Nazarii Lutsiv Taras Maksymyuk mykola Beshley Orest Lavriv Volodymyr Andrushchak Anatoliy Sachenko Liberios Vokorokos Juraj Gazda Lviv Polytechnic National University Lviv79013Ukraine West Ukrainian National University Ternopil46009Ukraine Technical University of Kosice Kosice04200Slovakia

The extensive proliferation of modern information services and ubiquitous digitization of society have raised cybersecurity challenges to new levels.With the massive number of connected devices,opportunities for potential network attacks are nearly unlimited.An additional problem is that many low-cost devices are not equippedwith effective security protection so that they are easily hacked and applied within a network of bots(botnet)to perform distributed denial of service(DDoS)attacks.In this paper,we propose a novel intrusion detection system(IDS)based on deep learning that aims to identify suspicious behavior in modern heterogeneous information systems.The proposed approach is based on a deep recurrent autoencoder that learns time series of normal network behavior and detects notable network anomalies.An additional feature of the proposed IDS is that it is trained with an optimized dataset,where the number of features is reduced by 94%without classification accuracy loss.Thus,the proposed IDS remains stable in response to slight system perturbations,which do not represent network anomalies.The proposed approach is evaluated under different simulation scenarios and provides a 99%detection accuracy over known datasets while reducing the training time by an order of magnitude.

关键词： DDoS deep semisupervised learning cybersecurity anomaly detection

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多普勒雷达下的机动多目标跟踪算法

西安交通大学学报 2023年第9期57卷 174-184页

作者：国强卢宇翀戚连刚 KALIUZHNY mykola 哈尔滨工程大学信息与通信工程学院哈尔滨150001 先进船舶通信与信息技术工业和信息化部重点实验室哈尔滨150001 哈尔滨工程大学物理与光电工程学院哈尔滨150001 哈尔科夫国立无线电电子大学乌克兰哈尔科夫61166

针对多普勒雷达在跟踪机动多目标过程中由于多普勒盲区(DBZ)造成量测丢失、对跟踪器性能产生严重影响这一问题,提出将最小可检测速度(MDV)带入到交互多模型广义标签多伯努利(IMM-GLMB)滤波器中,利用MDV信息抑制DBZ对跟踪器的影响。首先... 详细信息

针对多普勒雷达在跟踪机动多目标过程中由于多普勒盲区(DBZ)造成量测丢失、对跟踪器性能产生严重影响这一问题,提出将最小可检测速度(MDV)带入到交互多模型广义标签多伯努利(IMM-GLMB)滤波器中,利用MDV信息抑制DBZ对跟踪器的影响。首先,通过采用基于马尔科夫分支合并策略的交互多模型(IMM)算法,解决单一运动模型的情况下无法跟踪机动目标的问题;其次,将并入MDV信息的检测概率模型带入IMM-GLMB滤波器的更新方程中,并给出了详细实现过程,利用MDV和多普勒信息来改善跟踪器性能;最后,面对目前算法需要固定航迹起始位置才可以进行跟踪的问题,提出了一种适用于广义标签多伯努利(GLMB)滤波器的自适应航迹起始算法。仿真结果表明,所提出的滤波算法在不同宽度的DBZ下都具有更好的性能表现,尤其在DBZ较小时,对滤波器的性能基本没有影响,并且所提算法在单步运行时间上有34%的提升。

关键词：机动多目标跟踪多普勒盲区航迹起始广义标签多伯努利

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基于通道可靠性和异常抑制的目标跟踪算法

浙江大学学报（工学版） 2022年第12期56卷 2379-2391页

作者：国强吴天昊徐伟 KALIUZHNY mykola 哈尔滨工程大学信息与通信工程学院黑龙江哈尔滨150001 先进船舶通信与信息技术工业和信息化部重点实验室黑龙江哈尔滨150001 哈尔科夫国立无线电电子大学乌克兰哈尔科夫61166

针对时空正则目标跟踪算法无法有效利用特征,为了缓解边界效应扩大搜索区域导致的滤波器倾向于从背景中学习的问题,提出基于通道可靠性和异常抑制的目标跟踪算法.构造通道正则项,在训练阶段求解不同特征通道对应的权重,实现对不同特征... 详细信息

针对时空正则目标跟踪算法无法有效利用特征,为了缓解边界效应扩大搜索区域导致的滤波器倾向于从背景中学习的问题,提出基于通道可靠性和异常抑制的目标跟踪算法.构造通道正则项,在训练阶段求解不同特征通道对应的权重,实现对不同特征通道的加权,降低通道冗余并提高定位精度.在目标函数中加入异常抑制正则项,约束当前帧的响应图,实现滤波器模型的平滑约束.利用交替方向乘子法将求解目标问题转化为求滤波器、辅助因子以及通道权重的最优解.将所提算法在OTB2015、TempleColor128以及UAV20L公开数据集测试并与其他跟踪算法进行对比.实验结果表明,所提算法在快速运动、光照变化场景中的跟踪效果稳定,基本满足实时性要求.

关键词：目标跟踪时空正则通道正则异常抑制交替方向乘子法

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基于云模型的基本概率赋值生成方法及应用

电子与信息学报 2023年第3期45卷 905-912页

作者：国强文伟璐王亚妮戚连刚 Kaliuzhny mykola 哈尔滨工程大学信息与通信工程学院哈尔滨150001 先进船舶通信与信息技术工业和信息化部重点实验室哈尔滨150001 中国电子科技集团公司第十研究所敏捷智能计算四川省重点实验室成都610036 哈尔科夫国立无线电电子大学乌克兰哈尔科夫61166

针对证据理论应用中基本概率赋值(BPA)生成模型难以确定问题,该文提出一种基于云模型的BPA生成方法。首先基于样本属性的正态云模型构建单子集命题的BPA模型函数,并将复合子集的模型函数表示为高斯函数乘积融合。其次提出一种根据测试... 详细信息

针对证据理论应用中基本概率赋值(BPA)生成模型难以确定问题,该文提出一种基于云模型的BPA生成方法。首先基于样本属性的正态云模型构建单子集命题的BPA模型函数,并将复合子集的模型函数表示为高斯函数乘积融合。其次提出一种根据测试样本动态度量属性权重的方法来兼顾信息源的可靠性。最后,用属性权重修正模型函数输出的结果得到BPA。鸢尾花等数据集分类识别实验表明,该方法识别准确性高,且适用于样本较少的情况。

关键词：目标识别多源信息融合证据理论基本概率赋值云模型