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  • Open Access

    ARTICLE

    Exploring and Modelling IoT Offloading Policies in Edge Cloud Environments

    Jaber Almutairi1, Mohammad Aldossary2,*

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 611-624, 2022, DOI:10.32604/csse.2022.018112

    Abstract The Internet of Things (IoT) has recently become a popular technology that can play increasingly important roles in every aspect of our daily life. For collaboration between IoT devices and edge cloud servers, edge server nodes provide the computation and storage capabilities for IoT devices through the task offloading process for accelerating tasks with large resource requests. However, the quantitative impact of different offloading architectures and policies on IoT applications’ performance remains far from clear, especially with a dynamic and unpredictable range of connected physical and virtual devices. To this end, this work models the performance impact by exploiting a… More >

  • Open Access

    ARTICLE

    Relative Time Quantum-based Enhancements in Round Robin Scheduling

    Sardar Zafar Iqbal, Hina Gull*, Saqib Saeed, Madeeha Saqib, Mohammed Alqahtani, Yasser A. Bamarouf, Gomathi Krishna, May Issa Aldossary

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 461-477, 2022, DOI:10.32604/csse.2022.017003

    Abstract Modern human life is heavily dependent on computing systems and one of the core components affecting the performance of these systems is underlying operating system. Operating systems need to be upgraded to match the needs of modern-day systems relying on Internet of Things, Fog computing and Mobile based applications. The scheduling algorithm of the operating system dictates that how the resources will be allocated to the processes and the Round Robin algorithm (RR) has been widely used for it. The intent of this study is to ameliorate RR scheduling algorithm to optimize task scheduling. We have carried out an experimental… More >

  • Open Access

    ARTICLE

    Early Detection of Pancreatic Cancer Using Jaundiced Eye Images

    R. Reena Roy*, G. S. Anandha Mala

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 677-688, 2022, DOI:10.32604/csse.2022.016620

    Abstract Pancreatic cancer is one of the deadliest cancers, with less than 9% survival rates. Pancreatic Ductal Adeno Carcinoma (PDAC) is common with the general public affecting most people older than 45. Early detection of PDAC is often challenging because cancer symptoms will progress only at later stages (advanced stage). One of the earlier symptoms of PDAC is Jaundice. Patients with diabetes, obesity, and alcohol consumption are also at higher risk of having pancreatic cancer. A decision support system is developed to detect pancreatic cancer at an earlier stage to address this challenge. Features such as Mean Hue, Mean Saturation, Mean… More >

  • Open Access

    ARTICLE

    Measuring Mental Workload Using ERPs Based on FIR, ICA, and MARA

    Yu Sun1, Yi Ding2,*, Junyi Jiang3, Vincent G. Duffy4

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 781-794, 2022, DOI:10.32604/csse.2022.016387

    Abstract Mental workload is considered to be strongly linked to human performance, and the ability to measure it accurately is key for balancing human health and work. In this study, brain signals were elicited by mental arithmetic tasks of varying difficulty to stimulate different levels of mental workload. In addition, a finite impulse response (FIR) filter, independent component analysis (ICA), and multiple artifact rejection algorithms (MARAs) were used to filter event-related potentials (ERPs). Then, the data consisting of ERPs, subjective ratings of mental workload, and task performance, were analyzed through the use of variance and Spearman’s correlation during a simulated computer… More >

  • Open Access

    ARTICLE

    Adaptive Scheme for Crowd Counting Using off-the-Shelf Wireless Routers

    Wei Zhuang1,2, Yixian Shen1, Chunming Gao3, Lu Li1, Haoran Sang4, Fei Qian5,*

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 255-269, 2022, DOI:10.32604/csse.2022.020590

    Abstract Since the outbreak of the world-wide novel coronavirus pandemic, crowd counting in public areas, such as in shopping centers and in commercial streets, has gained popularity among public health administrations for preventing the crowds from gathering. In this paper, we propose a novel adaptive method for crowd counting based on Wi-Fi channel state information (CSI) by using common commercial wireless routers. Compared with previous researches on device-free crowd counting, our proposed method is more adaptive to the change of environment and can achieve high accuracy of crowd count estimation. Because the distance between access point (AP) and monitor point (MP)… More >

  • Open Access

    ARTICLE

    Hybrid Feature Extractions and CNN for Enhanced Periocular Identification During Covid-19

    Raniyah Wazirali1, Rami Ahmed2,*

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 305-320, 2022, DOI:10.32604/csse.2022.020504

    Abstract The global pandemic of novel coronavirus that started in 2019 has seriously affected daily lives and placed everyone in a panic condition. Widespread coronavirus led to the adoption of social distancing and people avoiding unnecessary physical contact with each other. The present situation advocates the requirement of a contactless biometric system that could be used in future authentication systems which makes fingerprint-based person identification ineffective. Periocular biometric is the solution because it does not require physical contact and is able to identify people wearing face masks. However, the periocular biometric region is a small area, and extraction of the required… More >

  • Open Access

    ARTICLE

    Green Measurements for Software Product Based on Sustainability Dimensions

    Komeil Raisian1, Jamaiah Yahaya2,*, Aziz Deraman3

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 271-288, 2022, DOI:10.32604/csse.2022.020496

    Abstract Software is a central component in the modern world and vastly affects the environment’s sustainability. The demand for energy and resource requirements is rising when producing hardware and software units. Literature study reveals that many studies focused on green hardware; however, limited efforts were made in the greenness of software products. Green software products are necessary to solve the issues and problems related to the long-term use of software, especially from a sustainability perspective. Without a proper mechanism for measuring the greenness of a particular software product executed in a specific environment, the mentioned benefits will not be attained. Currently,… More >

  • Open Access

    ARTICLE

    RFID Positioning and Physiological Signals for Remote Medical Care

    Wen-Tsai Sung1, Sung-Jung Hsiao2,*

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 289-304, 2022, DOI:10.32604/csse.2022.020453

    Abstract The safety of patients and the quality of medical care provided to them are vital for their wellbeing. This study establishes a set of RFID (Radio Frequency Identification)-based systems of patient care based on physiological signals in the pursuit of a remote medical care system. The RFID-based positioning system allows medical staff to continuously observe the patient's health and location. The staff can thus respond to medical emergencies in time and appropriately care for the patient. When the COVID-19 pandemic broke out, the proposed system was used to provide timely information on the location and body temperature of patients who… More >

  • Open Access

    ARTICLE

    A Novel Big Data Storage Reduction Model for Drill Down Search

    N. Ragavan, C. Yesubai Rubavathi*

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 373-387, 2022, DOI:10.32604/csse.2022.020452

    Abstract Multi-level searching is called Drill down search. Right now, no drill down search feature is available in the existing search engines like Google, Yahoo, Bing and Baidu. Drill down search is very much useful for the end user to find the exact search results among the huge paginated search results. Higher level of drill down search with category based search feature leads to get the most accurate search results but it increases the number and size of the file system. The purpose of this manuscript is to implement a big data storage reduction binary file system model for category based… More >

  • Open Access

    ARTICLE

    On Relations for Moments of Generalized Order Statistics for Lindley–Weibull Distribution

    Faten A. Momen khan1, Saman Hanif Shahbaz2, Muhammad Qaiser Shahbaz2,*

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 197-208, 2022, DOI:10.32604/csse.2022.020448

    Abstract Moments of generalized order statistics appear in several areas of science and engineering. These moments are useful in studying properties of the random variables which are arranged in increasing order of importance, for example, time to failure of a computer system. The computation of these moments is sometimes very tedious and hence some algorithms are required. One algorithm is to use a recursive method of computation of these moments and is very useful as it provides the basis to compute higher moments of generalized order statistics from the corresponding lower-order moments. Generalized order statistics provides several models of ordered data… More >

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