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Classification model with collinear grouping of features 特征共线分组的分类模型
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-11-04 DOI: 10.1080/24751839.2022.2129133
L. Bobrowski, Paweł Zabielski
ABSTRACT Pattern recognition procedures operate on data represented as sets of multidimensional feature vectors. A small sample of data appears when the dimension of the feature vectors (number of features) is much larger than the number of feature vectors (objects). Small datasets often emerge in practice, for example in genetics. The design of classification or prognostic models on small data sets requires the development of new types of methods. Methods based on L 1 geometry can play an important role in this regard.
模式识别过程对表示为多维特征向量集的数据进行操作。当特征向量的维度(特征数量)远大于特征向量(对象)的数量时,会出现小样本数据。小型数据集经常出现在实践中,例如遗传学中。在小数据集上设计分类或预测模型需要开发新型方法。基于L1几何的方法可以在这方面发挥重要作用。
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引用次数: 0
A strategy creating high-resolution adversarial images against convolutional neural networks and a feasibility study on 10 CNNs 一种针对卷积神经网络创建高分辨率对抗性图像的策略和10个CNN的可行性研究
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-10-31 DOI: 10.1080/24751839.2022.2132586
Franck Leprévost, A. O. Topal, Elmir Avdusinovic, Raluca Chitic
ABSTRACT To perform image recognition, Convolutional Neural Networks (CNNs) assess any image by first resizing it to its input size. In particular, high-resolution images are scaled down, say to for CNNs trained on ImageNet. So far, existing attacks, aiming at creating an adversarial image that a CNN would misclassify while a human would not notice any difference between the modified and unmodified images, proceed by creating adversarial noise in the resized domain and not in the high-resolution domain. The complexity of directly attacking high-resolution images leads to challenges in terms of speed, adversity and visual quality, making these attacks infeasible in practice. We design an indirect attack strategy that lifts to the high-resolution domain any existing attack that works efficiently in the CNN's input size domain. Adversarial noise created via this method is of the same size as the original image. We apply this approach to 10 state-of-the-art CNNs trained on ImageNet, with an evolutionary algorithm-based attack. Our method succeeded in 900 out of 1000 trials to create such adversarial images, that CNNs classify with probability in the adversarial category. Our indirect attack is the first effective method at creating adversarial images in the high-resolution domain.
为了进行图像识别,卷积神经网络(cnn)首先通过将图像大小调整到其输入大小来评估任何图像。特别是,高分辨率图像被按比例缩小,比如在ImageNet上训练的cnn。到目前为止,现有的攻击,旨在创建一个对抗的图像,CNN会错误分类,而人类不会注意到修改和未修改的图像之间的任何区别,通过在调整大小的域中而不是在高分辨率域中创建对抗噪声来进行。直接攻击高分辨率图像的复杂性导致了在速度、逆境和视觉质量方面的挑战,使得这些攻击在实践中不可行。我们设计了一种间接攻击策略,将任何在CNN输入大小域中有效的现有攻击提升到高分辨率域。通过这种方法产生的对抗噪声与原始图像的大小相同。我们将这种方法应用于在ImageNet上训练的10个最先进的cnn,并使用基于进化算法的攻击。我们的方法在1000次试验中有900次成功地创建了这样的对抗性图像,cnn在对抗性类别中进行了概率分类。我们的间接攻击是在高分辨率领域创建对抗性图像的第一种有效方法。
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引用次数: 0
An efficient energy measurement system based on the TOF sensor for structural crack monitoring in architecture 一种高效的基于TOF传感器的建筑结构裂缝监测能量测量系统
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-10-06 DOI: 10.1080/24751839.2022.2128249
Tran Anh Khoa, Pham Duc Lam, N. H. Nam
ABSTRACT With the continuous development of a society in which construction works are ubiquitous, investors often accelerate the progress of construction projects and may neglect to follow the proposed construction processes. As a result, construction works decrease in durability and become more susceptible to cracking, breakages, or collapse, resulting in significant damage to people and property. Meanwhile, labour to monitor the progress of works is often time-consuming, effortful, prone to errors, and vulnerable to risk. This study introduces a system that uses a Wireless Sensor Network (WSN) consisting of a laser-ranging Time-of-Flight (ToF) sensor module for structural crack monitoring in architecture. The proposed system collects data on the variation in amplitude of an existing crack as well as environmental factors that can adversely affect cracks such as temperature, humidity, and vibration. This aids the assessment of safety levels by providing warnings and remedies as quickly as possible, contributing to raising the safety level for workers and people living in the area, and minimizing potential damage. Test results demonstrate the following advantages: the device operates stably in extreme weather conditions; has an expected lifetime of more than ten years; and features high accuracy, long data transmission, and low-cost, low-power operation.
摘要随着建筑工程无处不在的社会的不断发展,投资者往往会加快建筑项目的进度,并可能忽视对拟议施工流程的跟踪。因此,建筑工程的耐久性降低,更容易开裂、断裂或坍塌,从而对人员和财产造成重大损失。与此同时,监督工程进度的劳动力往往耗时、费力、容易出错,而且容易受到风险的影响。本研究介绍了一种使用无线传感器网络(WSN)的系统,该网络由激光测距飞行时间(ToF)传感器模块组成,用于结构裂缝监测。所提出的系统收集现有裂纹振幅变化的数据,以及可能对裂纹产生不利影响的环境因素,如温度、湿度和振动。这有助于通过尽快提供警告和补救措施来评估安全级别,有助于提高工人和居住在该地区的人的安全级别,并最大限度地减少潜在的损害。测试结果表明:该装置在极端天气条件下运行稳定;预期寿命超过十年;具有精度高、数据传输时间长、运行成本低、功耗低等特点。
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引用次数: 2
Reproduction operators in solving LABS problem using EMAS meta-heuristic with various local optimization techniques 使用EMAS元启发式和各种局部优化技术解决LABS问题的再现算子
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-30 DOI: 10.1080/24751839.2022.2118098
Sylwia Biełaszek, Kamil Piętak, Marek Kisiel-Dorohinicki
ABSTRACT Agent-based evolutionary, computational systems have been proven to be an efficient concept for solving complex computational problems. This paper is an extension of [Biełaszek, S., Piętak, K., & Kisiel-Dorohinicki, M. (2021). New extensions of reproduction operators in solving LABS problem using EMAS meta-heuristic. Springer, cop. 2021. – Lecture Notes in Artificial Intelligence, Computational collective intelligence 12876 304-316. 13th International Conference, ICCCI 2021: Rhodes, Greece, September 29ŰOctober 1, 2021.] where we proposed new variants of reproduction operators together with new heuristics for the generation of initial population, dedicated to LABS – a hard discrete optimization problem. In this research, we verify if the proposed recombination operators improve EMAS efficiency also with different local optimization techniques such as Tabu Search and Self-avoiding walk, and therefore can be seen as better recombination operators dedicated to LABS problem in general. This paper recalls the definition of new recombination variants dedicated to LABS and verify if they can be successfully used in many different evolutionary configurations.
摘要:基于Agent的进化计算系统已被证明是解决复杂计算问题的有效概念。本文是[Beełaszek,S.,PiÉtak,K.,&Kisiel Dorohinicki,M.(2021)的扩展。使用EMAS元启发式求解LABS问题中的再现算子的新扩展。Springer,cop.2021-人工智能讲义,计算集体智能12876 304-316。第13届国际会议,ICCCI 2021:希腊罗兹,2021年9月29日Ű10月1日。]在会上,我们提出了繁殖算子的新变体,以及用于生成初始种群的新启发式方法,专门研究LABS——一个硬离散优化问题。在本研究中,我们验证了所提出的重组算子是否也通过不同的局部优化技术(如禁忌搜索和自回避行走)提高了EMAS的效率,因此可以被视为专门用于LABS问题的更好的重组算子。本文回顾了专门用于LABS的新重组变体的定义,并验证了它们是否可以成功地用于许多不同的进化配置。
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引用次数: 0
Analysis of segregated witness implementation for increasing efficiency and security of the Bitcoin cryptocurrency 分析为提高比特币加密货币的效率和安全性而实施的隔离证人
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-26 DOI: 10.1080/24751839.2022.2122301
M. Kedziora, Dawid Pieprzka, I. Józwiak, Yongxin Liu, H. Song
ABSTRACT The purpose of this paper is to present mechanisms and algorithms implemented for improving Bitcoin cryptocurrency efficiency and security and to examine the block propagation times from a selected period before and after SegWit was introduced. In this paper, Segregated Witness Implementation issues were verified based both on the simulation and real data from the Bitcoin network. Based on the block propagation times calculated in the simulator, as well as bitcoin network real data, the efficiency and safety of Bitcoin have been analysed and validated.
摘要本文的目的是介绍为提高比特币加密货币的效率和安全性而实现的机制和算法,并检查SegWit引入前后选定时段的块传播时间。在本文中,基于比特币网络的模拟和真实数据,验证了隔离见证实现问题。基于模拟器中计算的区块传播时间,以及比特币网络的真实数据,对比特币的效率和安全性进行了分析和验证。
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引用次数: 6
Fractal geometry-based chakra-shaped microstrip patch antenna array for vehicular communications under 5G environments 5G环境下基于分形几何的车载通信脉轮微带贴片天线阵列
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-15 DOI: 10.1080/24751839.2022.2117068
A. Rahim, P. Malik, Rajesh Singh
ABSTRACT In this paper, fractal geometry-based two-printed antenna structures are proposed for vehicular communication in 5G wireless communication networks. Initially, a 48 × 39 mm2 single element fractal patch antenna is designed and tested which shows dual-band resonance at around 28.1 and 32.5 GHz. In order to improve different antenna characteristic number of fractal radiating elements have been increased to four and constructed an array of patches such that it can be used for multiple applications in the field of vehicular communications. The proposed array model is fabricated on a Rogers RT duroid 5880tm material of size 115 × 82 mm2 and tested using Agilent Technologies N5247A VNA. The measured results confirm the validity of the designed model for intended applications. The proposed array antenna operates at distinct quintuple bands in the frequency range of 25–36 GHz for vehicular communication within the proposed lower fifth generation (5G) channel. The proposed array configuration shows a good peak gain of 6.72 dB within the operating bands.
摘要本文提出了一种基于分形几何的双印刷天线结构,用于5G无线通信网络中的车载通信。最初,设计并测试了一个48×39 mm2的单元分形贴片天线,该天线在28.1和32.5 GHz左右显示出双频谐振。为了提高不同的天线特性,分形辐射元件的数量已增加到四个,并构建了一个贴片阵列,使其可用于车辆通信领域的多种应用。所提出的阵列模型是在尺寸为115×82 mm2的Rogers RT硬质合金5880tm材料上制造的,并使用安捷伦科技公司的N5247A VNA进行测试。测量结果证实了设计模型在预期应用中的有效性。拟议的阵列天线工作在25–36 GHz频率范围内的不同五倍频带上,用于拟议的下五代(5G)信道内的车辆通信。所提出的阵列配置在工作频带内显示出6.72dB的良好峰值增益。
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引用次数: 1
Game theory-based dynamic resource allocations scheme in virtual networks 基于博弈论的虚拟网络动态资源分配方案
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-15 DOI: 10.1080/24751839.2022.2117125
Vianney Kengne Tchendji, Yannick Florian Yankam, Ines Carole Kombou Sihomnou
ABSTRACT This paper deals with resource allocation challenge focusing on Infrastructure Providers (InPs) and Service Providers (SPs) in virtual network environments. In such environments, resources (storage space, bandwidth, CPU, …) can be reallocated easily between users, involving Cloud services widespread. However, while these resources come from physical network, the allocations are constrained. To maintain on demand resources provisioning, service providers must frequently deal with many parameters (use duration, price, availability, fidelity, …) which involve unfair and non-optimal allocation scheme. We propose two game theory-based solutions that allow physical infrastructure providers to assign resources to service providers. Whereas literature works consider only one type of resource, we consider several types, such as storage space, bandwidth, RAM and processor. We design a set of non-cooperative games between physical infrastructure providers and service providers. Simulation results show that our solutions optimize resource usage and service quality compared to the literature.
摘要本文研究了虚拟网络环境中基础设施提供商(InPs)和服务提供商(SPs)的资源分配问题。在这样的环境中,资源(存储空间、带宽、CPU等)可以很容易地在用户之间重新分配,这涉及到广泛的云服务。然而,当这些资源来自物理网络时,分配受到限制。为了维持按需资源供应,服务提供者必须经常处理涉及不公平和非最佳分配方案的许多参数(使用持续时间、价格、可用性、保真度等)。我们提出了两种基于博弈论的解决方案,允许物理基础设施提供商将资源分配给服务提供商。虽然文献作品只考虑一种类型的资源,但我们考虑了几种类型,如存储空间、带宽、RAM和处理器。我们设计了一套物理基础设施提供商和服务提供商之间的非合作博弈。仿真结果表明,与文献相比,我们的解决方案优化了资源利用和服务质量。
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引用次数: 0
A customer satisfaction centric food delivery system based on blockchain and smart contract 基于区块链和智能合约的以客户满意度为中心的外卖系统
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-09 DOI: 10.1080/24751839.2022.2117121
A. Talukder, Md. Anisul Islam Mahmud, Arbiya Sultana, Tahmid Hasan Pranto, A. B. Haque, R. Rahman
ABSTRACT Food delivery systems are gaining popularity recently due to the expansion of internet connectivity and for the increasing availability of devices. The growing popularity of such systems has raised concerns regarding (i) Information security, (ii) Business to business (B2B) deep discounting race, and (iii) Strict policy enforcement. Sensitive personal data and financial information of the users must be safeguarded. Additionally, in pursuit of gaining profit, the restaurants tend to offer deep discounts resulting in a higher volume of orders than usual. Therefore, the restaurants and the delivery persons fail to maintain the delivery time and often impair the food quality. In this paper, we have proposed a blockchain and smart contract-based food delivery system to address these issues. The main goal is to remove commission schemes and decrease service delays caused by a high volume of orders. The protocols have been deployed and tested on the Ethereum test network. The simulation manifests a successful implementation of our desired system; with the payment being controlled by our system. The actors (restaurant, delivery-person or consumer) are bound to be compliant with the policies or penalized otherwise.
摘要最近,由于互联网连接的扩展和设备的可用性不断增加,食品配送系统越来越受欢迎。此类系统的日益普及引发了人们对以下方面的担忧:(i)信息安全,(ii)企业对企业(B2B)深度折扣竞赛,以及(iii)严格的政策执行。必须保护用户的敏感个人数据和财务信息。此外,为了追求利润,餐馆往往会提供大幅折扣,导致订单量比平时更高。因此,餐馆和送餐员无法维持送餐时间,往往会影响食品质量。在本文中,我们提出了一个基于区块链和智能合约的送餐系统来解决这些问题。主要目标是取消佣金计划,减少大量订单造成的服务延迟。这些协议已经在以太坊测试网络上进行了部署和测试。仿真表明我们所期望的系统的成功实现;付款由我们的系统控制。行为人(餐馆、送货员或消费者)必须遵守政策或受到其他处罚。
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引用次数: 2
Equilibrium analysis for linear and nonlinear aggregation in network models: applied to mental model aggregation in multilevel organisational learning 网络模型中线性和非线性聚合的均衡分析:应用于多层次组织学习中的心智模型聚合
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-05-20 DOI: 10.1080/24751839.2022.2043594
Gülay Canbaloglu, J. Treur
ABSTRACT In this paper, equilibrium analysis for network models is addressed and applied in particular to a network model of multilevel organisational learning. The equilibrium analysis addresses properties of aggregation characteristics and connectivity characteristics of a network. For aggregation characteristics, it is shown how certain classes of nonlinear functions enable equilibrium analysis of the emerging dynamics within the network like linear functions do. For connectivity characteristics, by using a form of stratification for the network's strongly connected components, it is shown how equilibrium analysis results can be obtained relating equilibrium values in any component to equilibrium values in (independent) components without incoming connections. In addition, concerning aggregation characteristics, two specific types of nonlinear functions for aggregation in networks (weighted euclidean functions and weighted geometric functions) are analysed. It is illustrated in detail how by using certain function transformations also methods for equilibrium analysis based on a symbolic linear equation solver, can be applied to make predictions about equilibrium values for them. All these results are applied to a network model for organisational learning. Finally, it is analysed in some depth how the function transformations applied can be described by the more general notion of function conjugate relation, also often used for coordinate transformations.
本文讨论了网络模型的均衡分析,并将其特别应用于多层次组织学习的网络模型。均衡分析主要研究网络的聚合特性和连通性特性。对于聚合特性,它显示了某些类别的非线性函数如何能够像线性函数一样对网络中出现的动态进行平衡分析。对于连通性特征,通过对网络的强连接组件使用分层形式,展示了如何获得平衡分析结果,将任何组件中的平衡值与没有传入连接的(独立)组件中的平衡值相关联。此外,针对网络的聚集特性,分析了两类特殊的非线性聚集函数(加权欧几里得函数和加权几何函数)。详细说明了如何利用某些函数变换和基于符号线性方程解算器的平衡分析方法来预测它们的平衡值。所有这些结果都应用于组织学习的网络模型。最后,深入分析了如何用更一般的函数共轭关系概念来描述所应用的函数变换,函数共轭关系也常用于坐标变换。
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引用次数: 1
Performance evaluation of MIMO DFT-Spread WR-OFDM system for spectrum efficiency and power efficiency 基于频谱效率和功率效率的MIMO DFT扩频WR-OFDM系统性能评估
IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-05-11 DOI: 10.1080/24751839.2022.2066847
Md. Najmul Hossain
ABSTRACT It is important to design a spectrum-efficient and power-efficient wireless communication system, which is the main design target in cellular and wireless communication engineering. Basically, to make it, the desired system must have a low peak-to-average power ratio (PAPR), low-level of out-of-band (OOB) power emission and can provide a high throughput. In this paper, we propose a high-throughput cellular communication system, namely Discrete Fourier Transform-Spread Windowing and Restructuring Orthogonal Frequency Division Multiplexing (DFT-Spread WR-OFDM), which has considerably low PAPR and low OOB power emission for upcoming next-generation beyond 5G (B5G) and 6G cellular communication systems. High PAPR is still one of the challenging issues for the MIMO-OFDM system. The proposed system is an effective arrangement of DFT-Spreading and windowing techniques to reduce PAPR and OOB power emission, respectively. Multiuser diversity is obtained using localized subcarrier mapping. We take advantages of spatial multiplexing to enhance the data throughput significantly. Additionally, frequency-domain equalization (FDE)-minimum mean squared error (MMSE) is used to combat the inter-symbol interference (ISI) effect. Simulation results verify that the suggested system considerably lowers PAPR and OOB power emission compared to the conventional systems. Furthermore, the proposed scheme shows better bit error rate (BER) performance over the MIMO Rayleigh fading channel environment. Simulation results also confirmed that the channel capacity of our suggested system is better than the conventional multi-carrier systems.
摘要设计一个频谱高效、功率高效的无线通信系统是蜂窝和无线通信工程的主要设计目标。基本上,为了实现这一点,所需系统必须具有低峰均功率比(PAPR)、低带外(OOB)功率发射,并且可以提供高吞吐量。在本文中,我们提出了一种高通量蜂窝通信系统,即离散傅立叶变换扩展窗和重构正交频分复用(DFT Spread WR-OFDM),该系统对于即将到来的下一代5G(B5G)和6G蜂窝通信系统具有相当低的PAPR和低OOB功率发射。高PAPR仍然是MIMO-OFDM系统面临的挑战之一。所提出的系统是DFT扩频和加窗技术的有效组合,分别降低了PAPR和OOB功率发射。使用局部子载波映射来获得多用户分集。我们利用空间复用的优势来显著提高数据吞吐量。此外,频域均衡(FDE)-最小均方误差(MMSE)用于对抗符号间干扰(ISI)效应。仿真结果证实,与传统系统相比,所提出的系统显著降低了PAPR和OOB功率发射。此外,在MIMO瑞利衰落信道环境下,该方案表现出更好的误码率(BER)性能。仿真结果还证实,我们提出的系统的信道容量优于传统的多载波系统。
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引用次数: 2
期刊
Journal of Information and Telecommunication
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