Aurora Gonzalez-Vidal¹, Fernando Terroso-Sáenz^2,*, Antonio Skarmeta¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4355-4375, 2022, DOI:10.32604/cmc.2022.021492 - 14 January 2022

Abstract Nowadays, the anticipation of parking-space demand is an instrumental service in order to reduce traffic congestion levels in urban spaces. The purpose of our work is to study, design and develop a parking-availability predictor that extracts the knowledge from human mobility data, based on the anonymized human displacements of an urban area, and also from weather conditions. Most of the existing solutions for this prediction take as contextual data the current road-traffic state defined at very high temporal or spatial resolution. However, access to this type of fine-grained location data is usually quite limited due… More >

Ramon Sanchez-Iborra¹, Luis Bernal-Escobedo², Jose Santa^3,*, Antonio Skarmeta²

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3869-3885, 2022, DOI:10.32604/cmc.2022.022610 - 07 December 2021

Abstract A new wave of electric vehicles for personal mobility is currently crowding public spaces. They offer a sustainable and efficient way of getting around in urban environments, however, these devices bring additional safety issues, including serious accidents for riders. Thereby, taking advantage of a connected personal mobility vehicle, we present a novel on-device Machine Learning (ML)-based fall detection system that analyzes data captured from a range of sensors integrated on an on-board unit (OBU) prototype. Given the typical processing limitations of these elements, we exploit the potential of the TinyML paradigm, which enables embedding powerful More >

R. Punithavathi^1,*, M. Kowsigan², R. Shanthakumari³, Miodrag Zivkovic⁴, Nebojsa Bacanin⁴, Marko Sarac⁴

Computer Systems Science and Engineering, Vol.42, No.1, pp. 105-120, 2022, DOI:10.32604/csse.2022.020486 - 02 December 2021

Abstract At present, health care applications, government services, and banking applications use big data with cloud storage to process and implement data. Data mobility in cloud environments uses protection protocols and algorithms to secure sensitive user data. Sometimes, data may have highly sensitive information, leading users to consider using big data and cloud processing regardless of whether they are secured are not. Threats to sensitive data in cloud systems produce high risks, and existing security methods do not provide enough security to sensitive user data in cloud and big data environments. At present, several security solutions… More >

Yuan Ai Ho¹, Chee Keong Tan^1,*, Yin Hoe Ng²

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 907-924, 2022, DOI:10.32604/cmc.2022.021756 - 03 November 2021

Abstract The world is experiencing the unprecedented time of a pandemic caused by the coronavirus disease (i.e., COVID-19). As a countermeasure, contact tracing and social distancing are essential to prevent the transmission of the virus, which can be achieved using indoor location analytics. Based on the indoor location analytics, the human mobility on a site can be monitored and planned to minimize human’s contact and enforce social distancing to contain the transmission of COVID-19. Given the indoor location data, the clustering can be applied to cluster spatial data, spatio-temporal data and movement behavior features for proximity detection… More >

Simiao Wang^1,#, Xue Li^1,#, Boxue Chen¹, Shitong Li¹, Jiali Wang¹, Jing Wang², Mingshuo Yang³, Xiaoyan Xu¹, Hongda Wang¹, Wenzhi Yang^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.3, pp. 541-567, 2022, DOI:10.32604/phyton.2022.018571 - 26 October 2021

Abstract The complex composition of herbal metabolites necessitates the development of powerful analytical techniques aimed to identify the bioactive components. The seeds of Descurainia sophia (SDS) are utilized in China as a cough and asthma relieving agent. Herein, a dimension-enhanced integral approach, by combining ultra-high performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS) and intelligent peak annotation, was developed to rapidly characterize the multicomponents from SDS. Good chromatographic separation was achieved within 38 min on a UPLC CSH C18 (2.1 × 100 mm, 1.7 μm) column which was eluted by 0.1% formic acid in water (water phase)… More >

Inam Ullah Khan¹, Muhammad Abul Hassan², Muhammad Fayaz³, Jeonghwan Gwak^4,5,6,7,*, Muhammad Adnan Aziz¹

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3653-3666, 2022, DOI:10.32604/cmc.2022.020697 - 27 September 2021

Abstract Most interesting area is the growing demand of flying-IoT mergers with smart cities. However, aerial vehicles, especially unmanned aerial vehicles (UAVs), have limited capabilities for maintaining node energy efficiency. In order to communicate effectively, IoT is a key element for smart cities. While improving network performance, routing protocols can be deployed in flying-IoT to improve latency, packet drop rate, packet delivery, power utilization, and average-end-to-end delay. Furthermore, in literature, proposed techniques are very much complex which cannot be easily implemented in real-world applications. This issue leads to the development of lightweight energy-efficient routing in flying-IoT More >

Myoung-hun Han^1,2, Bong-Soo Roh¹, Kyungwoo Kim¹, Dae-Hoon Kwon¹, Jae-Hyun Ham¹, KyungHyun Yoon², Sanghyun Seo^3,*

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2381-2399, 2022, DOI:10.32604/cmc.2022.020029 - 27 September 2021

Abstract An important requirement in a military domain is a highly reliable mobility management method, especially when components of the networks are moving in tactical network environments. To increase reliability, the mobility management technology of the tactical network should be able to reflect the characteristics of the tactical network, such as a limited environment, failure, and hierarchical unit structure. In this paper, we propose a proxy-based hierarchical distributed mobility management scheme, which is highly focused on tactical networks. Considering the characteristics of tactical networks, the proposed scheme is composed of the following: 1) a proxy-based method, More >

A. Prithiviraj^1,*, A. Maheswari², D. Balamurugan¹, Vinayakumar Ravi³, Moez Krichen^4,5, Roobaea Alroobaea⁶, Saeed Rubaiee⁷, Sankar Sennan¹

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 323-341, 2022, DOI:10.32604/cmc.2022.015299 - 07 September 2021

Abstract Despite the seemingly exponential growth of mobile and wireless communication, this same technology aims to offer uninterrupted access to different wireless systems like Radio Communication, Bluetooth, and Wi-Fi to achieve better network connection which in turn gives the best quality of service (QoS). Many analysts have established many handover decision systems (HDS) to enable assured continuous mobility between various radio access technologies. Unbroken mobility is one of the most significant problems considered in wireless communication networks. Each application needs a distinct QoS, so the network choice may shift appropriately. To achieve this objective and to… More >

Muhatasim Intisar¹, Mohammad Monirujjaman Khan^1,*, Mehedi Masud², Mohammad Shorfuzzaman²

Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 101-115, 2022, DOI:10.32604/iasc.2022.019083 - 03 September 2021

Abstract Paralysis is detrimental to people in catastrophic ways: losing income opportunities, becoming a burden to their friends and family, further physical deterioration, and the combination of these occurrences can often lead to depression. In third world countries, suffering from paralysis can be extra deleterious, where a large proportion of the population is engaged in some form of physical labor. The number of people exposed to paralysis risk factors is also increasing, with more and more people having hypertension, smoking, and other abnormalities. Besides, low workplace safety precautions may lead to an increased risk of spinal… More >

Shahzaib Anwar¹, Sardar Muhammad Gulfam^1,*, Bilal Muhammad², Syed Junaid Nawaz¹, Khursheed Aurangzeb³, Mohammad Kaleem¹

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1021-1037, 2021, DOI:10.32604/cmc.2021.018248 - 04 June 2021

Abstract High electron mobility transistor (HEMT) based on gallium nitride (GaN) is one of the most promising candidates for the future generation of high frequencies and high-power electronic applications. This research work aims at designing and characterization of enhancement-mode or normally-off GaN HEMT. The impact of variations in gate length, mole concentration, barrier variations and other important design parameters on the performance of normally-off GaN HEMT is thoroughly investigated. An increase in the gate length causes a decrease in the drain current and transconductance, while an increase in drain current and transconductance can be achieved by… More >