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Publisher: STM Journals   (Total: 36 journals)   [Sort by number of followers]

Showing 1 - 36 of 36 Journals sorted alphabetically
Current Trends in Information Technology     Full-text available via subscription   (Followers: 3)
Current Trends in Signal Processing     Full-text available via subscription   (Followers: 5)
Emerging Trends in Chemical Engineering     Full-text available via subscription   (Followers: 4)
J. of Advancements in Library Sciences     Open Access   (Followers: 38)
J. of Aerospace Engineering & Technology     Full-text available via subscription   (Followers: 13)
J. of Alternate Energy Sources & Technologies     Full-text available via subscription   (Followers: 1)
J. of AYUSH :- Ayurveda, Yoga, Unani, Siddha and Homeopathy     Full-text available via subscription   (Followers: 9)
J. of Control & Instrumentation     Full-text available via subscription   (Followers: 11)
J. of Electronic Design Technology     Full-text available via subscription   (Followers: 6, SJR: 0.1, CiteScore: 0)
J. of Herbal Science     Full-text available via subscription   (Followers: 4)
J. of Industrial Safety Engineering     Full-text available via subscription   (Followers: 6)
J. of Materials & Metallurgical Engineering     Full-text available via subscription   (Followers: 1)
J. of Modern Chemistry & Chemical Technology     Open Access   (Followers: 3)
J. of Polymer & Composites     Full-text available via subscription   (Followers: 16)
J. of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 11, SJR: 0.284, CiteScore: 1)
J. of Remote Sensing & GIS     Full-text available via subscription   (Followers: 23)
J. of VLSI Design Tools & Technology     Full-text available via subscription   (Followers: 9)
J. of Water Resource Engineering and Management     Full-text available via subscription   (Followers: 3)
OmniScience : A Multi-disciplinary J.     Full-text available via subscription   (Followers: 2)
Recent Trends In Civil Engineering & Technology     Full-text available via subscription   (Followers: 5)
Research & Reviews : A J. of Pharmacology     Full-text available via subscription   (Followers: 1)
Research & Reviews : A J. of Toxicology     Full-text available via subscription   (Followers: 4)
Research & Reviews : A J. of Life Sciences     Open Access  
Research & Reviews : J. of Agricultural Science and Technology     Full-text available via subscription  
Research & Reviews : J. of Botany     Full-text available via subscription   (Followers: 1)
Research & Reviews : J. of Crop Science and Technology     Full-text available via subscription   (Followers: 3)
Research & Reviews : J. of Dairy Science and Technology     Open Access   (Followers: 3)
Research & Reviews : J. of Ecology     Full-text available via subscription   (Followers: 2)
Research & Reviews : J. of Embedded System & Applications     Full-text available via subscription   (Followers: 5)
Research & Reviews : J. of Food Science and Technology     Open Access  
Research & Reviews : J. of Physics     Open Access   (Followers: 2)
Research & Reviews : J. of Space Science & Technology     Full-text available via subscription   (Followers: 10)
Research & Reviews : J. of Statistics     Open Access   (Followers: 6)
Research & Reviews : J. of Veterinary Science and Technology     Open Access   (Followers: 1)
Trends in Electrical Engineering     Full-text available via subscription   (Followers: 4)
Trends in Mechanical Engineering & Technology     Full-text available via subscription   (Followers: 3)
Journal Cover
Research & Reviews : Journal of Physics
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2278-2265 - ISSN (Online) 2278-2265
Published by STM Journals Homepage  [36 journals]
  • Computation Modelling for Fine Particle Flow in Horizontal Slurry
           Pipelines

    • Authors: Kanwar Pal Singh, Arvind Kumar, Deo Raj Kaushal
      Pages: 1 - 6
      Abstract: The coal based thermal power plant in India faces the problem of dumping of coal ash. The coal ash produced by thermal plant is transported to dumping site through slurry pipeline. The flow of fine particles at higher flow velocity in slurry pipeline is a matter of curiosity. The transportation of coal ash slurry at higher flow velocity leads to high pressure drop and requires large pumping power which ultimately affects the economy of transportation. In this study, Computational modeling using ANSYS FLUENT 17 is done for flow of Bi modal slurry of Silica sand and Fly Ash (90:10) in horizontal pipeline at flow velocity 1.78 m/s and 2.67 m/s for solid concentration 8.77% by volume. The modeling outcomes are validated with the experimental results. It is observed that the fine particles of Fly Ash in Coarser Silica sand uniformly distribute the particles and reduce the sedimentation effect. The modeling results fairly satisfy the experimental outcomes from pilot plant test loop. Keywords: bi-modal slurry, CFD modelling, fine particles, flow velocity, pressure dropCite this ArticleKanwar Pal Singh, Arvind Kumar, Deo Raj Kaushal. Computation Modelling for Fine Particle Flow in Horizontal Slurry Pipelines. Research & Reviews: Journal of Physics. 2019; 8(1): 1–6p.
      PubDate: 2018-10-15
      Issue No: Vol. 8, No. 1 (2018)
       
  • BER Analysis of Convolutional Encoded DWT-OFDM and coded FFT-OFDM under
           Different Simulation Conditions

    • Authors: Simmi Garg, Anuj Kumar Sharma, Anand Kumar Tyagi
      Pages: 7 - 16
      Abstract: In this study, we investigated the performance of Convolutional encoded Discrete Wavelet Transform based orthogonal frequency division multiplexing (DWT-OFDM) system over additive white Gaussian noise (AWGN) channel. QAM and PSK modulation have been used for simulations. Performance of Convolutional encoded DWT-OFDM is compared with uncoded DWT-OFDM system and encoded conventional OFDM system. Bit error rate (BER) is used as measuring parameter. Simulations have been done using MATLAB software. It has been found in simulations that Convolutional encoded DWT-OFDM outperforms uncoded DWT-OFDM as well as coded conventional OFDM system. Performance of Convolutional encoded DWT-OFDM system has been studied using different modulation schemes namely 16-QAM, 32-QAM, 64-QAM, 16-PSK and 32-PSK. It is found that BER of encoded DWT-OFDM system improves as we decrease the constellation number and performance of coded DWT-OFDM is better with QAM modulation than with PSK modulation. Different wavelets namely Haar, Dabuchiees, biorthogonal, Symlet are used for simulating the system. Further, impact of different members of same wavelet family is studied over the performance of encoded DWT-OFDM. Keywords: OFDM, DWT, FEC, FFT, BERCite this ArticleSimmi Garg, Anuj Kumar Sharma, Anand Kumar Tyagi. BER Analysis of Convolutional Encoded DWT-OFDM and coded FFT-OFDM under Different Simulation Conditions. Research & Reviews: Journal of Physics. 2019; 8(1): 7–16p.
      PubDate: 2018-10-15
      Issue No: Vol. 8, No. 1 (2018)
       
 
 
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