Open Access

ARTICLE

Mohammed Alwabel, Youngmi Kwon^*
Computer Systems Science and Engineering, Vol.36, No.2, pp. 281-292, 2021, DOI:10.32604/csse.2021.014630
Abstract Blockchain is a technology that provides security features that can be used for more than just cryptocurrencies. Blockchain achieves security by saving the information of one block in the next block. Changing the information of one block will require changes to all the next block in order for that change to take effect. Which makes it unfeasible for such an attack to happen. However, the structure of how blockchain works makes the last block always vulnerable for attacks, given that its information is not saved yet in any block. This allows malicious node to change the information of the last… More >

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ARTICLE

Ali N. A. Koam¹, Ali Ahmad^2,*, M. F. Nadeem³
Computer Systems Science and Engineering, Vol.36, No.2, pp. 293-306, 2021, DOI:10.32604/csse.2021.014896
Abstract A class of graph invariants referred to today as topological indices are inefficient progressively acknowledged by scientific experts and others to be integral assets in the depiction of structural phenomena. The structure of an interconnection network can be represented by a graph. In the network, vertices represent the processor nodes and edges represent the links between the processor nodes. Graph invariants play a vital feature in graph theory and distinguish the structural properties of graphs and networks. A topological descriptor is a numerical total related to a structure that portray the topology of structure and is invariant under structure automorphism.… More >

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Open Access

ARTICLE

Rihem Farkh^1,2,*, Khaled A. Aljaloud¹, Moufida Ksouri², Faouzi Bouani²
Computer Systems Science and Engineering, Vol.36, No.2, pp. 307-321, 2021, DOI:10.32604/csse.2021.014334
Abstract Proportional-Integral-Derivative control system has been widely used in industrial applications. For uncertain and unstable systems, tuning controller parameters to satisfy the process requirements is very challenging. In general, the whole system’s performance strongly depends on the controller’s efficiency and hence the tuning process plays a key role in the system’s response. This paper presents a robust optimal Proportional-Integral-Derivative controller design methodology for the control of unstable delay system with parametric uncertainty using a combination of Kharitonov theorem and genetic algorithm optimization based approaches. In this study, the Generalized Kharitonov Theorem (GKT) for quasi-polynomials is employed for the purpose of designing… More >

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ARTICLE

Wajdi Alhakami¹, Ahmed Binmahfoudh², Abdullah Baz³, Hosam Alhakami⁴, Md Tarique Jamal Ansari⁵, Raees Ahmad Khan^5,*
Computer Systems Science and Engineering, Vol.36, No.2, pp. 323-338, 2021, DOI:10.32604/csse.2021.014929
Abstract COVID-19 is the contagious disease transmitted by Coronavirus. The majority of people diagnosed with COVID-19 may suffer from moderate-to- severe respiratory illnesses and stabilize without preferential treatment. Those who are most likely to experience significant infections include the elderly as well as people with a history of significant medical issues including heart disease, diabetes, or chronic breathing problems. The novel Coronavirus has affected not only the physical and mental health of the people but also had adverse impact on their emotional well-being. For months on end now, due to constant monitoring and containment measures to combat COVID-19, people have been… More >

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Open Access

ARTICLE

Raniyah Wazirali^*
Computer Systems Science and Engineering, Vol.36, No.2, pp. 339-351, 2021, DOI:10.32604/csse.2021.014301
Abstract Vision 2030 requires a new generation of people with a wide variety of abilities, talents, and skills. The adoption of augmented reality (AR) and virtual reality is one possible way to align education with Vision 2030. Immersive technologies like AR are rapidly becoming powerful and versatile enough to be adopted in education to achieve this goal. Technologies such as AR could be beneficial tools to enhance maintainable growth in education. We reviewed the most recent studies in augmented reality to check its appropriateness in aligning with the educational goals of Vision 2030. First, the various definitions, terminologies, and technologies of… More >

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REVIEW

Mohammad Aldossary^*
Computer Systems Science and Engineering, Vol.36, No.2, pp. 353-368, 2021, DOI:10.32604/csse.2021.014974
Abstract With the expansion of cloud computing, optimizing the energy efficiency and cost of the cloud paradigm is considered significantly important, since it directly affects providers’ revenue and customers’ payment. Thus, providing prediction information of the cloud services can be very beneficial for the service providers, as they need to carefully predict their business growths and efficiently manage their resources. To optimize the use of cloud services, predictive mechanisms can be applied to improve resource utilization and reduce energy-related costs. However, such mechanisms need to be provided with energy awareness not only at the level of the Physical Machine (PM) but… More >

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ARTICLE

Syed Mustajar Ahmad Shah¹, Hongwei Ge^1,*, Sami Ahmed Haider², Muhammad Irshad³, Sohail M. Noman⁴, Jehangir Arshad⁵, Asfandeyar Ahmad⁶, Talha Younas⁷
Computer Systems Science and Engineering, Vol.36, No.2, pp. 369-382, 2021, DOI:10.32604/csse.2021.014234
Abstract The data generated from non-Euclidean domains and its graphical representation (with complex-relationship object interdependence) applications has observed an exponential growth. The sophistication of graph data has posed consequential obstacles to the existing machine learning algorithms. In this study, we have considered a revamped version of a semi-supervised learning algorithm for graph-structured data to address the issue of expanding deep learning approaches to represent the graph data. Additionally, the quantum information theory has been applied through Graph Neural Networks (GNNs) to generate Riemannian metrics in closed-form of several graph layers. In further, to pre-process the adjacency matrix of graphs, a new… More >

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ARTICLE

Zhiyi Li^1,2,*, Xiaomian Xu², Du Zhang¹, Peng Zhang²
Computer Systems Science and Engineering, Vol.36, No.2, pp. 383-405, 2021, DOI:10.32604/csse.2021.014563
Abstract In the era of big data rich in We Media, the single mode retrieval system has been unable to meet people’s demand for information retrieval. This paper proposes a new solution to the problem of feature extraction and unified mapping of different modes: A Cross-Modal Hashing retrieval algorithm based on Deep Residual Network (CMHR-DRN). The model construction is divided into two stages: The first stage is the feature extraction of different modal data, including the use of Deep Residual Network (DRN) to extract the image features, using the method of combining TF-IDF with the full connection network to extract the… More >

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ARTICLE

Yuye Zhang^1,*, Jingli Huang¹, Jiandong Liu¹, Hakeel Ahmed Chohan²
Computer Systems Science and Engineering, Vol.36, No.2, pp. 407-416, 2021, DOI:10.32604/csse.2021.014154
Abstract To implement restoration in a single motion blurred image, the PSF (Point Spread Function) is difficult to estimate and the image deconvolution is ill-posed as a result that a good recovery effect cannot be obtained. Considering that several different PSFs can get joint invertibility to make restoration well-posed, we proposed a motion-blurred image restoration method based on joint invertibility of PSFs by means of computational photography. Firstly, we designed a set of observation device which composed by multiple cameras with the same parameters to shoot the moving target in the same field of view continuously to obtain the target images… More >

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ARTICLE

Wunan Wan^1,*, Jun Chen¹, Jinyue Xia², Jinquan Zhang¹, Shibin Zhang¹, Hao Chen¹
Computer Systems Science and Engineering, Vol.36, No.2, pp. 417-434, 2021, DOI:10.32604/csse.2021.014460
Abstract In this paper, we propose two new attack algorithms on RSA implementations with CRT (Chinese remainder theorem). To improve the attack efficiency considerably, a clustering collision power attack on RSA with CRT is introduced via chosen-message pairs. This attack method is that the key parameters d_p and d_q are segmented by byte, and the modular multiplication collisions are identified by k-means clustering. The exponents d_p and d_q were recovered by 12 power traces of six groups of the specific message pairs, and the exponent d was obtained. We also propose a second order clustering collision power analysis attack against RSA… More >

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