for Journals by Title or ISSN
for Articles by Keywords
Followed Journals
Journal you Follow: 0
Sign Up to follow journals, search in your chosen journals and, optionally, receive Email Alerts when new issues of your Followed Journals are published.
Already have an account? Sign In to see the journals you follow.
Similar Journals
Journal Cover
International Journal of Digital Signals and Smart Systems
Number of Followers: 1  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2398-0311 - ISSN (Online) 2398-032X
Published by Inderscience Publishers Homepage  [438 journals]
  • Controlling schemes in digital load side transmission system for
           intelligent lighting
    • Authors: T. Yuvaraja, V. Mathudevan, K. Ramya
      Pages: 1 - 14
      Abstract: This manuscript deals with the DLT compatible control devices in intelligent lighting systems with high output power in the designed converter. The presented methodology deals with two-wire bound power line communication. The presented topology works without a neutral wire connection and is hence applicable to all typical house installations lacking a neutral wire at the light switch lead-out and is an excellent solution for providing continuous operation of a DLT control device with Wi-Fi, even if half waves of mains are missing or short blackouts of several half waves. DLT control devices can be embedded in a smart home environment, which is a unique feature enabled by the proposed power supply concept.
      Keywords: light emitting diode; digital load transmission; low current
      Citation: International Journal of Digital Signals and Smart Systems, Vol. 2, No. 1 (2018) pp. 1 - 14
      PubDate: 2018-03-30T23:20:50-05:00
      DOI: 10.1504/IJDSSS.2018.090868
      Issue No: Vol. 2, No. 1 (2018)
  • Fast detection control for fault-tolerant converter back-to-back with
           redundancy leg supplying an induction motor drives
    • Authors: K. Sahraoui, B. Gaoui, L. Mokrani, K. Belarbi
      Pages: 15 - 35
      Abstract: The purpose of this paper is the study of fault tolerant control with pulse large modulation (PWM) AC-DC-AC converter for supplying a three-phase rotor field oriented induction motor. The back to back converter is supplied with three-phase network and composed of a PWM rectifier and a voltage source inverter. Fault tolerant topology of AC-DC-AC converter with redundancy have been studied and associated with affective and fast method of fault detection and compensation to guarantee the continuity of service, in the presence of an open circuit failure possibility on the level of one of their legs. Although of the presence of open circuit on the level of the converter legs, the obtained simulation results show that the proposed method has the ability to maintain the good performance of the drive.
      Keywords: asynchrouns machine; sigma-delta PWM; three-phase AC-DC-AC converter; converter with redundant leg; service continuity; field oriented control
      Citation: International Journal of Digital Signals and Smart Systems, Vol. 2, No. 1 (2018) pp. 15 - 35
      PubDate: 2018-03-30T23:20:50-05:00
      DOI: 10.1504/IJDSSS.2018.090869
      Issue No: Vol. 2, No. 1 (2018)
  • Iris recognition: using a statistical model of shape and spatial relation
           for effective segmentation
    • Authors: Houda Khmila, Said Ettaieb, Nadia Feddaoui, Nadia Smaoui
      Pages: 36 - 49
      Abstract: This paper presents a new segmentation method based both on active shape model (ASM) and spatial distance model to segment iris structures. The extracted iris is normalised by Daugman's rubber sheet model. Then the features are extracted by the 1D log Gabor filter, afterwards the hamming distance is used to compare the binary codes stored previously. The evaluation experiments are performed on a set of 300 right iris images from 41 persons of CASIA-IrisV4 database. We obtain a correct recognition rate of 100%. The experimental results have shown that the performance of the proposed approach is encouraging.
      Keywords: biometrics; iris recognition; segmentation; ASM+D; identification
      Citation: International Journal of Digital Signals and Smart Systems, Vol. 2, No. 1 (2018) pp. 36 - 49
      PubDate: 2018-03-30T23:20:50-05:00
      DOI: 10.1504/IJDSSS.2018.090871
      Issue No: Vol. 2, No. 1 (2018)
  • Control design and sensors fault tolerant for vehicle dynamics (a selected
           paper from SSD'17)
    • Authors: Naoufal El Youssfi, Mohammed Oudghiri, Rachid El Bachtiri
      Pages: 50 - 67
      Abstract: This paper presents a control approach based on the state feedback estimated by the observer. It also offers a method of detection and isolation of sensor defects (FDI), which is based on a bank of observers in order to apply a fault tolerant control strategy (FTC) to the lateral and roll dynamics of the vehicle represented by the fuzzy model of Takagi-Sugeno (TS). This approach makes it possible to preserve the stability of the vehicle despite the presence of sensor defects; based on the Lyapunov approach, the observer and controller designs were formulated as linear matrix inequalities (LMI); the simulation results clearly show the importance and effectiveness of the proposed strategy.
      Keywords: Takagi Sugeno; TS; fuzzy model; observer bank; controller; linear matrix inequalities; LMI; fault tolerant control strategy; FTC; fault detection and identification; FDI; vehicle lateral dynamics
      Citation: International Journal of Digital Signals and Smart Systems, Vol. 2, No. 1 (2018) pp. 50 - 67
      PubDate: 2018-03-30T23:20:50-05:00
      DOI: 10.1504/IJDSSS.2018.090874
      Issue No: Vol. 2, No. 1 (2018)
  • Massively parallel hybrid algorithm on embedded graphics processing unit
           for unmanned aerial vehicle path planning
    • Authors: Vincent Roberge, Mohammed Tarbouchi
      Pages: 68 - 93
      Abstract: To operate autonomously, military unmanned aerial vehicles (UAVs) must be equipped with a path planning module capable of calculating feasible trajectories. This is a highly complex and nonlinear optimisation problem that challenges state of the art methods. In this paper, we present a massively parallel hybrid algorithm to solve the path planning problem for fixed-wing military UAVs. The proposed solution combines the strengths of the genetic algorithm (GA) and the particle swarm optimisation and allows for the calculation of quasi-optimal paths in realistic 3D environments. To reduce the execution time, the proposed algorithm is parallelised on the NVIDIA Jetson TX1 embedded graphics processing unit (GPU). By exploiting the parallel architecture of the GPU, the runtime is reduced by a factor of 23.6× to just 4.3 seconds while requiring only 10 watts, making it an excellent solution for on-board path planning. The proposed system is tested in a simulation using 18 scenarios on six different terrains.
      Keywords: hybrid metaheuristic; genetic algorithm; graphics processing units; GPU; NVIDIA Jetson TX1; particle swarm optimisation; PSO; path planning; parallel computing; unmanned aerial vehicle; UAV
      Citation: International Journal of Digital Signals and Smart Systems, Vol. 2, No. 1 (2018) pp. 68 - 93
      PubDate: 2018-03-30T23:20:50-05:00
      DOI: 10.1504/IJDSSS.2018.090875
      Issue No: Vol. 2, No. 1 (2018)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
Home (Search)
Subjects A-Z
Publishers A-Z
Your IP address:
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-