Jinsu Kim¹, Sungwook Ryu², Namje Park^1,3,*

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 4169-4184, 2022, DOI:10.32604/cmc.2022.019277

Abstract A significant number of cloud storage environments are already implementing deduplication technology. Due to the nature of the cloud environment, a storage server capable of accommodating large-capacity storage is required. As storage capacity increases, additional storage solutions are required. By leveraging deduplication, you can fundamentally solve the cost problem. However, deduplication poses privacy concerns due to the structure itself. In this paper, we point out the privacy infringement problem and propose a new deduplication technique to solve it. In the proposed technique, since the user’s map structure and files are not stored on the server, the file uploader list cannot… More >

V. R. Kavitha^1,*, M. Kanchana², B. Gobinathan³, K. R. Sekar⁴, Mohamed Yacin Sikkandar⁵

Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 853-867, 2022, DOI:10.32604/iasc.2022.018358

Abstract Data reduction and image compression techniques in the present Internet and multi-media age are essential to increase image and video capacity in relation to memory, network bandwidth use and safe data transmission. There have been a different variety of image compression models with varying compression efficiency and visual image quality in the literature. Vector Quantization (VQ) is a widely used image coding scheme that is designed to generate an efficient coding book that includes a list of codewords that assign the input image vector to a minimum distance of Euclidea. The Linde–Buzo–Gray (LBG) historically widely used model produces the local… More >

Osama S. Faragallah^1,*, Walid El-Shafai², Ashraf Afifi¹, Ibrahim Elashry³, Mohammed A. AlZain¹, Jehad F. Al-Amri¹, Ben Soh⁴, Heba M. El-Hoseny⁵, Hala S. El-Sayed⁶, Fathi E.Abd El-Samie²

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 353-367, 2021, DOI:10.32604/iasc.2021.016865

Abstract With the rapidly increasing rate of using online services and social media websites, cybercriminals have caused a great deterioration in the network security with enormous undesired consequences. Encryption techniques may be utilized to achieve data robustness and security in digital multimedia communication systems. From this perspective, this paper presents an optical ciphering framework using Double Random Phase Encoding (DRPE) for efficient and secure transmission of Three-Dimensional Videos (3DVs). Firstly, in the DRPE-based 3DV cybersecurity framework proposed in the paper, an optical emitter converts each frame of the transmitted 3DV into an optical signal. Then, the DRPE technique encrypts the obtained… More >

Manjur Kolhar^*, Abdalla Alameen

Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 1-9, 2021, DOI:10.32604/iasc.2021.014995

Abstract The use of computer-based technologies by non-native Arabic-speaking teachers for teaching native Arabic-speaking students can result in higher learner engagement. In this study, a machine translation (MT) system is developed as a learning technology. The proposed system can be linked to a digital podium and projector to reduce multitasking. A total of 25 students from Prince Sattam Bin Abdulaziz University, Saudi Arabia participated in our experiment and survey related to the use of the proposed technology-enhanced MT system. An important reason for using this framework is to exploit the high service bandwidth (up to several bandwidths) made available for interactive… More >

Krishnan Muthumayil^1,*, Thangaiyan Jayasankar², Nagappan Krishnaraj³, Mohamed Yacin Sikkandar⁴, Prakash Nattanmai Balasubramanian⁵, Chokkalingam Bharatiraja⁶

Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 771-784, 2021, DOI:10.32604/iasc.2021.012462

Abstract Wireless Multimedia Sensor Networks (WMSN) provides valuable information for scalar data, images, audio, and video processing in monitoring and surveillance applications. Multimedia streaming, however, is highly challenging for networks as energy restriction sensor nodes limit the potential data transmission bandwidth and lead to reduced throughput. WMSN’s two key design challenges, which can be achieved by the clustering process, are energy efficiency and throughput maximization. The use of the clustering technique helps to organise the sensor nodes into clusters, and between each cluster a cluster head (CH) will be chosen. This paper introduces a new Artificial Fish Swarm Optimization Algorithm (AFSA)… More >

G. Kadiravan¹, P. Sujatha¹, T. Asvany¹, R. Punithavathi², Mohamed Elhoseny³, Irina V. Pustokhina⁴, Denis A. Pustokhin⁵, K. Shankar^6,*

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3215-3231, 2021, DOI:10.32604/cmc.2021.013034

Abstract Nowadays, healthcare applications necessitate maximum volume of medical data to be fed to help the physicians, academicians, pathologists, doctors and other healthcare professionals. Advancements in the domain of Wireless Sensor Networks (WSN) and Multimedia Wireless Sensor Networks (MWSN) are tremendous. M-WMSN is an advanced form of conventional Wireless Sensor Networks (WSN) to networks that use multimedia devices. When compared with traditional WSN, the quantity of data transmission in M-WMSN is significantly high due to the presence of multimedia content. Hence, clustering techniques are deployed to achieve low amount of energy utilization. The current research work aims at introducing a new… More >

Ahmed Y. Hamed¹, Monagi H. Alkinani², M. R. Hassan^3,*

Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1201-1216, 2020, DOI:10.32604/iasc.2020.012663

Abstract Many applications require to send information from a source node to multiple destinations nodes. To support these applications, the paper presents a multi-objective based genetic algorithm, which is used in the construction of the multicast tree for data transmission in a computer network. The proposed algorithm simultaneously optimizes total weights (cost, delay, and hop) of the multicast tree. Experimental results prove that the proposed algorithm outperforms a recently published Multi-objective Multicast Algorithm specially designed for solving the multicast routing problem. Also, the proposed approach has been applied to ten-node and twenty-node network to illustrate its efficiency. In addition, the execution… More >

Shenghong Huang

Computer Systems Science and Engineering, Vol.35, No.3, pp. 215-222, 2020, DOI:10.32604/csse.2020.35.215

Abstract Today, highly sophisticated technology has changed the lives of most individuals worldwide. In the field of graphic design, the emergence and development of digital multimedia communication forms have had a crucial impact on the creative process of graphic design and even the process of communication, offering more opportunities and more exciting challenges to this domain. And with the continuous improvement of people’s material culture and spiritual culture, the digital age has enriched people’s production and life. Especially in the application of digital multimedia in graphic design, the changes caused by the emergence of digital multimedia focus mainly on the visual… More >

Ahmed Y. Hamed¹, Monagi H. Alkinani², M. R. Hassan^{3, *}

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1159-1173, 2020, DOI:10.32604/cmc.2020.09176

Abstract In the distributed networks, many applications send information from a source node to multiple destination nodes. To support these applications requirements, the paper presents a multi-objective algorithm based on ant colonies to construct a multicast tree for data transmission in a computer network. The proposed algorithm simultaneously optimizes total weight (cost, delay and hop) of the multicast tree. Experimental results prove the proposed algorithm outperforms a recently published Multi-objective Multicast Algorithm specially designed for solving the multicast routing problem. Also, it is able to find a better solution with fast convergence speed and high reliability. More >

Lamia Bouafif¹, Noureddine Ellouze²

Sound & Vibration, Vol.52, No.6, pp. 2-10, 2018, DOI:10.32604/sv.2018.02410

Abstract Sound indexing and segmentation of digital documents especially in the internet and digital libraries are very useful to simplify and to accelerate the multimedia document retrieval. We can imagine that we can extract multimedia files not only by keywords but also by speech semantic contents. The main difficulty of this operation is the parameterization and modelling of the sound track and the discrimination of the speech, music and noise segments. In this paper, we will present a Speech/Music/Noise indexing interface designed for audio discrimination in multimedia documents. The program uses a statistical method based on ANN and HMM classifiers. After… More >