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Revision on Virtual Private Network (VPN) Protocols and Security 修订虚拟专用网络(VPN)协议和安全性
Pub Date : 2024-01-01 DOI: 10.33193/jicis.1.1.2021.26
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引用次数: 0
A Analysis on the Expansion of Network Protocol Fuzzing Procedures 网络协议模糊程序扩展分析
Pub Date : 2023-12-31 DOI: 10.33193/jicis.1.1.2021.25
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引用次数: 0
A Innovative MAC Protocols for High Congested Wireless Networks 针对高拥塞无线网络的创新型 MAC 协议
Pub Date : 2023-12-25 DOI: 10.33193/jicis.1.1.2022.21
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引用次数: 0
Networks Dynamics and its Influence on Novelty Products 网络动态及其对新奇产品的影响
Pub Date : 2023-12-25 DOI: 10.33193/jicis.1.1.2022.22
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引用次数: 0
Effect of High-Speed Broadband on Financial Growing 高速宽带对金融发展的影响
Pub Date : 2023-12-11 DOI: 10.33193/jicis.1.1.2021.27
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引用次数: 0
A Innovative Methodology to Fuzzy-Neural System Modeling 模糊神经系统建模的创新方法
Pub Date : 2023-12-05 DOI: 10.33193/jicis.1.1.2022.24
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引用次数: 0
Big Data Processing over Cloud Computing Environment 云计算环境下的大数据处理
Pub Date : 2023-09-25 DOI: 10.33193/jicis.1.1.2022.17
The topics of this special paper are mainly devoted to the most recent research, development and applications in the field of cloud computing, big data processing in the various fields, e.g. Web blog, search engine, image processing, and industry. Among all of the submitted manuscripts, 15 papers were selected and included in this special paper. Creative thoughts and interesting inspirations are presented, discussed, and disseminated in this paper.First, there are three papers on the cloud architecture and optimization for big data processing. J. Peng, et al. discussed the problems of load balance for massive data processing on cloud considering the data processing efficiency and nodes’ capability. A load balance approach for massive data, based on the consistent hashing method, was presented to improve the data processing equalization and high processing efficiency. Large-scale sensor networks and internet of things are one of the most important application fields in big data. Y. Sun, et al. proposed a cloud computing system to support PaaS in energy power applications—PROXZONE. PROXZONE provides the cloud services uniform monitoring and authorization, and cloud message service, which can support good performance when dealing with big data. Meanwhile, S. Xu, et al. discussed an improved cooperative dynamic cluster model in multitasks mobile network, and proposed a cooperative message forwarding mechanism to improve the network performance.
本专题论文的主题主要集中在云计算、大数据处理在Web博客、搜索引擎、图像处理、工业等各个领域的最新研究、发展和应用。在所有提交的稿件中,有15篇论文被选中并收录在这篇专题论文中。创造性的思想和有趣的灵感提出,讨论和传播在本文中。首先,有三篇论文是关于大数据处理的云架构和优化。J. Peng等在考虑数据处理效率和节点能力的情况下,讨论了云上海量数据处理的负载均衡问题。为了提高数据处理的均衡性和处理效率,提出了一种基于一致性哈希方法的海量数据负载均衡方法。大规模传感器网络和物联网是大数据最重要的应用领域之一。Y. Sun等人提出了一种支持能源应用中PaaS的云计算系统——proxzone。PROXZONE提供云服务统一监控授权和云消息服务,在处理大数据时可以支持良好的性能。同时,S. Xu等人讨论了一种改进的多任务移动网络协作动态集群模型,提出了一种协作消息转发机制来提高网络性能。
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引用次数: 0
Routing Optimization of Unmanned AVS for Localization of Wireless Emitters in Outside Locations 面向外部位置无线发射器定位的无人驾驶AVS路由优化
Pub Date : 2023-09-05 DOI: 10.33193/jicis.1.1.2022.18
To control illegal radio waves, methods of locating unknown emitters are used. Location methods using ground sensors suffer from location accuracy degradation in environments where the distance between the emitter and the sensor is not line of sight (NLoS). Therefore, research is being done to improve location accuracy by using Unmanned Aerial Vehicles (UAVs) as sensors to ensure a line-of-sight (LoS) condition. However, UAVs can fly freely in the sky, making it difficult to optimize flight paths based on particle swarm optimization (PSO) for efficient and accurate localization. This article examines the optimization of UAV flight paths to achieve highly efficient and accurate external localization of unknown emitters through two approaches, a circular orbit and a free path, respectively. Our numerical results reveal the improved location estimation error performance of our proposed approach. In particular, when evaluating at the 90th percentile of the cumulative error distribution function (CDF), the proposed approach can achieve an error of 28.59 m with circular orbit and 12.91 m with free path orbit, compared to the case of the conventional fixed sensor. whose location estimation error is 55.02 m.
为了控制非法无线电波,使用了定位未知发射器的方法。使用地面传感器的定位方法在发射器和传感器之间的距离不是视线(NLoS)的环境中,定位精度会下降。因此,利用无人机(uav)作为传感器来确保视线(LoS)条件的研究正在进行,以提高定位精度。然而,由于无人机在空中可以自由飞行,使得基于粒子群算法(PSO)的飞行路径优化难以实现高效、准确的定位。本文分别通过圆轨道和自由路径两种方法,研究了无人机飞行路径的优化,以实现对未知发射源的高效、准确的外部定位。数值结果表明,该方法改善了定位估计误差的性能。特别是,在累积误差分布函数(CDF)的第90个百分位处进行评估时,与传统固定传感器相比,该方法在圆形轨道上的误差为28.59 m,在自由路径轨道上的误差为12.91 m。其位置估计误差为55.02 m。
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引用次数: 0
Steganography System using Slantlet Transform 基于小波变换的隐写系统
Pub Date : 2023-08-18 DOI: 10.33193/jicis.1.2.2023.44
Bassil Abduljabbar
1 All Rights Reserved © 2016 JICIS  Abstract— An approach for hiding information has been proposed for securing information using Slanlet transform and the T-codes. Same as the wavelet transform the Slantlet transform is better in compression signal and good time localization signal compression than the conventional transforms like (DCT) discrete cosine transforms. The proposed method provides efficient security, because the original secret image is encrypted before embedding in order to build a robust system that is no attacker can defeat it. Some of the well known fidelity measures like (PSNR and AR) were used to measure the quality of the Steganography image and the image after extracted. The results show that the stego-image is closed related to the cover image, with (PSNR) Peak Signal to Noise Ratio is about 55dB. The recovered secret image is extracted (100%) if stego-image has no attack. These methods can provide good hiding capacity and image quality. Several types of attacks have been applied to the proposed methods in order to measure the robustness like (compression, add noise and cropping). The proposed algorithm has been implemented by using computer simulation program MATLAB version 7.9 under windows 7 operating system by Microsoft cooperation.
1版权所有©2016 JICIS摘要-提出了一种利用Slanlet变换和t码来隐藏信息以保护信息的方法。与小波变换一样,小波变换比传统的离散余弦变换(DCT)在压缩信号和压缩时间定位信号方面有更好的效果。该方法对原始的秘密图像在嵌入前进行了加密处理,从而构建了一个健壮的系统,使得攻击者无法破解。使用一些众所周知的保真度度量,如PSNR和AR,来衡量隐写图像和提取后图像的质量。结果表明,隐写图像与掩蔽图像接近,峰值信噪比(PSNR)约为55dB。如果隐写图像没有受到攻击,则恢复的秘密图像被提取(100%)。这些方法可以提供良好的隐藏能力和图像质量。为了测量所提出的方法的鲁棒性,已经应用了几种类型的攻击,如压缩、添加噪声和裁剪。该算法已在微软合作的windows 7操作系统下,利用MATLAB version 7.9计算机仿真程序实现。
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引用次数: 0
Conceptual Framework of the Relationship between Organizational Health and Strategic Performance 组织健康与战略绩效关系的概念框架
Pub Date : 2023-08-15 DOI: 10.33193/jicis.1.2.2023.7
Abbas Mezeal Mushref, Laith Shinawah Al-Jabiri
The current research attempts to clarify the intertwined properties between Organizational Health and Strategic Performance. Moreover, established an integrated framework for the fields. With limited information about Organizational Health and its relationship with Strategic Performance, this research investigated the dimensions perspective of Organizational Health and its relationship to Strategic Performance. The focus is to explain the relationship between Organizational Health and Strategic Performance. Five dimensions of Organizational Health are included in this research: (A focused goal, Adequate communication, Optimal power equality, Resource Utilization Morale) and the four dimensions of Strategic Performance. Several contributions of this research were an integrated model of Organizational Health and Strategic Performance were conceptually tested. A revised model was present and that may lead to contribute the future research in this area.
当前的研究试图澄清组织健康和战略绩效之间交织的属性。建立了各领域的综合框架。在组织健康及其与战略绩效关系的研究有限的情况下,本研究从维度角度考察了组织健康及其与战略绩效的关系。重点是解释组织健康和战略绩效之间的关系。本研究包括组织健康的五个维度:(目标聚焦、充分沟通、权力最优平等、资源利用士气)和战略绩效的四个维度。本研究的几个贡献是对组织健康和战略绩效的综合模型进行了概念测试。提出了一个修正的模型,这可能会对该领域的未来研究做出贡献。
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引用次数: 0
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Journal of Information, Communication and Intelligence Systems
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