Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (104)
  • Open Access

    ARTICLE

    KSUTraffic: A Microscopic Traffic Simulator for Traffic Planning in Smart Cities

    Najla Al-Nabhan*, Maha AlDuhaim, Sarah AlHussan, Haifa Abdullah, Mnira AlHaid, Rawan AlDuhaishi

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1831-1845, 2021, DOI:10.32604/cmc.2021.012231 - 13 April 2021

    Abstract Simulation is a powerful tool for improving, evaluating and analyzing the performance of new and existing systems. Traffic simulators provide tools for studying transportation systems in smart cities as they describe the evolution of traffic to the highest level of detail. There are many types of traffic simulators that allow simulating traffic in modern cities. The most popular traffic simulation approach is the microscopic traffic simulation because of its ability to model traffic in a realistic manner. In many cities of Saudi Arabia, traffic management represents a major challenge as a result of expansion in… More >

  • Open Access

    ARTICLE

    Constructional Cyber Physical System: An Integrated Model

    Tzer-Long Chen1, Chien-Yun Chang2, Yung-Cheng Yao3, Kuo-Chang Chung4,*

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 73-82, 2021, DOI:10.32604/iasc.2021.015980 - 17 March 2021

    Abstract Artificial intelligence, machine learning, and deep learning have achieved great success in the fields of computer vision and natural language processing, and then extended to various fields, such as biology, chemistry, and civil engineering, including big data in the field of logistics. Therefore, many logistics companies move towards the integration of intelligent transportation systems. Only virtual and physical development can support the sustainable development of the logistics industry. This study aims to: 1.) collect timely information from the block chain, 2.) use deep learning to build a customer database so that sales staff in physical… More >

  • Open Access

    REVIEW

    Review of Internet of Things in Different Sectors: Recent Advances, Technologies, and Challenges

    Samreen Mahmood*

    Journal on Internet of Things, Vol.3, No.1, pp. 19-26, 2021, DOI:10.32604/jiot.2021.013071 - 16 March 2021

    Abstract Human beings and their activities are now connected through Internet of Things (IoT) with the evolution of wireless communication technologies. IoT is becoming popular and its usage is immensely increasing among various sectors. In this research paper, a comprehensive review has been conducted by considering recent and important literature review on IoT applications being operated in three major sectors. The three sectors studied are health, sports and transportation and logistics. Paper explored that with the help of IoT techniques, different miniature sized devices are invented which can record various parameters of human body, wearables devices More >

  • Open Access

    ARTICLE

    Optimal Solution of Fuzzy Transportation Problem Using Octagonal Fuzzy Numbers

    D. Gurukumaresan1,*, C. Duraisamy1, R. Srinivasan2

    Computer Systems Science and Engineering, Vol.37, No.3, pp. 415-421, 2021, DOI:10.32604/csse.2021.014130 - 08 March 2021

    Abstract In this paper a fuzzy transportation problem under a fuzzy environment is solved using octagonal fuzzy numbers. The transportation problem is significant and has been widely studied in the field of applied mathematics to solve a system of linear equations in many applications in science. Systems of concurrent linear equations play a vital major role in operational research. The main perspective of this research paper is to find out the minimum amount of transportation cost of some supplies through a capacitated network formerly the availability and the demand notes are octagonal fuzzy numbers. Octagonal fuzzy More >

  • Open Access

    ARTICLE

    An Intelligent Cluster Optimization Algorithm for Smart Body Area Networks

    Adil Mushtaq1, Muhammad Nadeem Majeed1, Farhan Aadil2, Muhammad Fahad Khan2, Sangsoon Lim3,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3795-3814, 2021, DOI:10.32604/cmc.2021.015369 - 01 March 2021

    Abstract Body Area Networks (BODYNETs) or Wireless Body Area Networks (WBAN), being an important type of ad-hoc network, plays a vital role in multimedia, safety, and traffic management applications. In BODYNETs, rapid topology changes occur due to high node mobility, which affects the scalability of the network. Node clustering is one mechanism among many others, which is used to overcome this issue in BODYNETs. There are many clustering algorithms used in this domain to overcome this issue. However, these algorithms generate a large number of Cluster Heads (CHs), which results in scarce resource utilization and degraded… More >

  • Open Access

    ARTICLE

    Automatic Vehicle License Plate Recognition Using Optimal Deep Learning Model

    Thavavel Vaiyapuri1, Sachi Nandan Mohanty2, M. Sivaram3, Irina V. Pustokhina4, Denis A. Pustokhin5, K. Shankar6,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1881-1897, 2021, DOI:10.32604/cmc.2021.014924 - 05 February 2021

    Abstract The latest advancements in highway research domain and increase inthe number of vehicles everyday led to wider exposure and attention towards the development of efficient Intelligent Transportation System (ITS). One of the popular research areas i.e., Vehicle License Plate Recognition (VLPR) aims at determining the characters that exist in the license plate of the vehicles. The VLPR process is a difficult one due to the differences in viewpoint, shapes, colors, patterns, and non-uniform illumination at the time of capturing images. The current study develops a robust Deep Learning (DL)-based VLPR model using Squirrel Search Algorithm… More >

  • Open Access

    ARTICLE

    Adaptation of Vehicular Ad hoc Network Clustering Protocol for Smart Transportation

    Masood Ahmad1, Abdul Hameed2, Fasee Ullah3,*, Ishtiaq Wahid1, Atif Khan4, M. Irfan Uddin5, Shafiq Ahmad6, Ahmed M. El-Sherbeeny6

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1353-1368, 2021, DOI:10.32604/cmc.2021.014237 - 05 February 2021

    Abstract Clustering algorithms optimization can minimize topology maintenance overhead in large scale vehicular Ad hoc networks (VANETs) for smart transportation that results from dynamic topology, limited resources and non-centralized architecture. The performance of a clustering algorithm varies with the underlying mobility model to address the topology maintenance overhead issue in VANETs for smart transportation. To design a robust clustering algorithm, careful attention must be paid to components like mobility models and performance objectives. A clustering algorithm may not perform well with every mobility pattern. Therefore, we propose a supervisory protocol (SP) that observes the mobility pattern… More >

  • Open Access

    ARTICLE

    Live Data Analytics with IoT Intelligence-Sensing System in Public Transportation for COVID-19 Pandemic

    Abdullah Alamri1,*, Sultan Alamri2

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 441-452, 2021, DOI:10.32604/iasc.2021.015198 - 18 January 2021

    Abstract The COVID-19 pandemic has presented an unprecedented challenge to the entire world. It is a humanitarian crisis on a global scale. The virus continues to spread throughout nations, putting health systems under enormous pressure in the battle to save lives. With this growing crisis, companies and researchers worldwide are searching for ways to overcome the challenges associated with this virus. Also, the transport sector will play a critical role in revitalizing economies while simultaneously containing the spread of COVID-19. As the virus is still circulating, the only solution is to redesign public transportation to make More >

  • Open Access

    ARTICLE

    Prospect Theory Based Hesitant Fuzzy Multi-Criteria Decision Making for Low Sulphur Fuel of Maritime Transportation

    Changli Lu1, Ming Zhao1,2, Imran Khan3, Peerapong Uthansakul4,*

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1511-1528, 2021, DOI:10.32604/cmc.2020.012556 - 26 November 2020

    Abstract The environmental impact of maritime transport has now become a relevant issue in sustainable policy formulation and has attracted increasing interest from academia. For the sustainable development of maritime transport, International Maritime Organization stipulates that the sulfur content of ship emissions will reach 0.5 from 2020. With the approaching of the stipulated implementation date, shipowners need to adopt scientific methods to make decision on low sulfur fuel. In this study, we applied a prospect theory based hesitant fuzzy multi-criteria decision-making model to obtain the optimal decision of low Sulphur marine fuel. For this purpose, the… More >

  • Open Access

    ARTICLE

    The Development of Generalized Public Bicycles in China and Its Role in the Urban Transportation System

    Yang Tang1,*, Weiwei Liu1, Yihao He1, Yuelin Zhang2, Fulong Zhang2

    Journal on Internet of Things, Vol.2, No.3, pp. 101-107, 2020, DOI:10.32604/jiot.2020.010108 - 16 September 2020

    Abstract Public bicycle service has experienced 15 years of development in Chinese cities, and mainland China is the world's largest public bicycle market. Choosing to use public bicycles is becoming more and more a daily habit of residents. Broadly speaking, public bicycles in Chinese cities include both public bikes with service stations and shared bicycles without service stations. Based on historical review and years of accumulated data, this paper reviews the development of general public bicycles in Chinese cities in the past 15 years. And the role of general public bicycles in China’s urban transportation system More >

Displaying 81-90 on page 9 of 104. Per Page