Now showing items 1411-1430 of 2555

    • Joint optimization of throughput and delay over PPP interfered relay networks 

      Chun, Young Jin; Cotton, Simon L.; Hasna, Mazen O.; Ghrayeb, Ali ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Future wireless networks are expected to achieve higher data rates and ubiquitous coverage by seamless cooperation among diverse network technologies. However, it also increases the risk of co-channel interference and ...
    • Joint resource scheduling and peak power shaving for cloud data centers with distributed Uninterruptible power Supply 

      Alanazi, Sultan; Dabbagh, Mehiar; Hamdaoui, Bechir; Guizani, Mohsen; Zorba, Nizar ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      The grid company enforces high penalties for the peak power demands of cloud data centers. These high penalties result in high electricity bill that can be avoided by relying on the servers' Uninterruptible Power Supply ...
    • Joint secured and robust technique for OFDM systems 

      Al-Dweik, A.; Mirahmadi, M.; Shami, A.; Sharif, B.; Hamila, R. ( IEEE , 2013 , Conference Paper)
      This work presents a novel technique for joint secured and robust transmission of orthogonal frequency division multiplexing (OFDM) based communication systems. The proposed system is implemented by developing a new OFDM ...
    • Joint security and energy efficiency in iot networks through clustering and bit flipping 

      Yaacoub, Elias; Chehab, Ali; Al-Husseini, Mohammed; Abualsaud, Khalid; Khattab, Tamer; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Channel-aware encryption is investigated as a physical layer security technique in internet of things (IoT) scenarios. Clustering algorithms for grouping sensor nodes into cooperative clusters are proposed, with the purpose ...
    • Joint statistics of partial sums of ordered exponential variates and performance of GSC RAKE receivers over rayleigh fading channel 

      Nam S.S.; Hasna , Mazen; Alouini M.-S. ( IEEE , 2011 , Article)
      Spread spectrum receivers with generalized selection combining (GSC) RAKE reception were proposed and have been studied as alternatives to the classical two fundamental schemes: maximal ratio combining and selection combining ...
    • Joint uplink-downlink carrier aggregation scheme in LTE-A 

      Zorba, Nizar; Verikoukis, Christos ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Long Term Evolution Advanced (LTE-A) supports a wide range of applications that continuously demand for more resources in order to satisfy the customers' needs. Starting from release 10, Carrier Aggregation (CA) technology ...
    • K-Subspaces Quantization for Approximate Nearest Neighbor Search 

      Ozan E.C.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( IEEE Computer Society , 2016 , Article)
      Approximate Nearest Neighbor (ANN) search has become a popular approach for performing fast and efficient retrieval on very large-scale datasets in recent years, as the size and dimension of data grow continuously. In this ...
    • Key is in the Air: Hacking Remote Keyless Entry Systems 

      Ibrahim, Omar Adel; Hussain, Ahmed Mohamed; Oligeri, Gabriele; Di Pietro, Roberto ( Springer Verlag , 2019 , Conference Paper)
      A Remote Keyless Systems (RKS) is an electronic lock that controls access to a building or vehicle without using a traditional mechanical key. Although RKS have become more and more robust over time, in this paper we show ...
    • Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons 

      Tran D.T.; Kiranyaz S.; Gabbouj M.; Iosifidis A. ( IEEE Computer Society , 2019 , Conference Paper)
      Face verification is a prominent biometric technique for identity authentication that has been used extensively in several security applications. In practice, face verification is often performed along with other visual ...
    • L-L and L-2L Multilevel boost converter topologies with voltage multiplier with L-L and L-2L converter of XY familiy 

      Bhaskar M.S.; Sanjeevikumar P.; Blaabjerg F.; Holm-Nielsen J.B.; Ionel D.M. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      A New L-L and L-2L Multilevel Boost Converter topologies (L-LMBC and L-2LMBC) are proposed for photovoltaic (PV) energy application. Both L-LMBC and L-2LMBC topologies are designed to provide a viable and effective solution ...
    • L-L Converter for Fuel Cell Vehicular Power Train Applications: Hardware Implementation of Primary Member of X-Y Converter Family 

      Bhaskar M.S.; Padmanaban S.; Iqbal A.; Meraj M.; Howeldar A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      In this research work, L-L converter (primary member of XY converter family) is proposed and discussed in detail for fuel cell based Vehicular Power Train (FC VPT) and DC auxiliary loads. In normally, that the voltage of ...
    • LaCoDa: Layered connected topology for massive data centers 

      Chkirbene, Zina; Foufou, Sebti; Hamila, Ridha; Tari, Zahir; Zomaya, Albert Y. ( Academic Press , 2017 , Article)
      One of the fundamental challenges of existing data centers is to design a network that interconnects massive number of servers, and therefore providing an efficient and fault-tolerant routing service to upper-layer ...
    • Lascada: A novel scalable topology for data center network 

      Chkirbene, Zina; Hadjidj, Rachid; Foufou, Sebti; Hamila, Ridha ( IEEE , 2020 , Article)
      The growth of cloud-based services is mainly supported by the core networking infrastructures of large-scale data centers, while the scalability of these services is influenced by the performance and dependability ...
    • Latency Analysis of UAV based Communication Networks 

      Horani M.; Hasna M.O. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      UAV based communication is gaining more and more interest in both research and industry. On top of all benefits gained by using UAVs, we investigate in this paper the effect of using UAV communication on the user experienced ...
    • Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives 

      Himeur, Yassine; Sohail, Shahab Saquib; Bensaali, Faycal; Amira, Abbes; Alazab, Mamoun ( Elsevier , 2022 , Article Review)
      With the widespread use of Internet of things (IoT), mobile phones, connected devices and artificial intelligence (AI), recommender systems (RSs) have become a booming technology because of their capability to analyze big ...
    • Lattice-Boltzmann interactive blood flow simulation pipeline 

      Esfahani, Sahar S.; Zhai, Xiaojun; Chen, Minsi; Amira, Abbes; Bensaali, Faycal; ... more authors ( Springer , 2020 , Article)
      Purpose: Cerebral aneurysms are one of the prevalent cerebrovascular disorders in adults worldwide and caused by a weakness in the brain artery. The most impressive treatment for a brain aneurysm is interventional radiology ...
    • LCDnet: a lightweight crowd density estimation model for real-time video surveillance 

      Khan, Muhammad Asif; Menouar, Hamid; Hamila, Ridha ( Institute for Ionics , 2023 , Article)
      Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation models using convolution neural networks ...
    • Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates 

      Riabchenko, Ekaterina; Meissner, Kristian; Ahmad, Iftikhar; Iosifidis, Alexandros; Tirronen ,Ville; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Aquatic macroinvertebrate biomonitoring is an efficient way of assessment of slow and subtle anthropogenic changes and their effect on water quality. It is imperative to have reliable identification and counts of the various ...
    • Learned vs. hand-designed features for ECG beat classification: A comprehensive study 

      Ince T.; Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Springer Verlag , 2017 , Conference Paper)
      In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ...
    • Learning graph affinities for spectral graph-based salient object detection 

      Aytekin, Caglar Caglar; Iosifidis, Alexandros; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier Ltd , 2017 , Article)
      In this paper, we propose a novel method for learning graph affinities for salient object detection. First, we assume that a graph representation of an image is given with a predetermined connectivity rule and representative ...