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Effect of tunnel fire: Analysis and remedial measures
Bishwajeet Choubey,Sekhar C. Dutta,Virendra Kumar 국제구조공학회 2021 Structural Engineering and Mechanics, An Int'l Jou Vol.80 No.6
The paper aims at improving the understanding and mitigating the effects of tunnel fires that may breakout due to the burning fuel and/or explosion within the tunnel. This study particularly focuses on the behavior of the commonly used horse shoe geometry of tunnel systems. The problem has been obtained using an adequate well-established program incorporating the Lagrangian approach. A transient-thermo-coupled static structural analysis is carried out. The effects of radiation and convection to the outer walls of the tunnel is studied. The paper also presents the impact of the hazard on the structural integrity of the tunnel. A methodology is proposed to study the tunnel fire using a model which uses equivalent steel sheet to represent the presence of reinforcements to improve the computational efficiency with adequate validation. A parametric study has been carried out and the effect of suitable lining property for mitigating the fire hazard is arrived at. Detailed analysis is done for the threshold limits of the properties of the lining material to check if it is acceptable in all aspects for the integrity of the tunnel. The study may prove useful for developing insights for ensuring tunnel fire safety. To conduct such studies experimentally are tremendously costly but are required to gain confidence. But, scaled models, as well as loading and testing conditions, cannot be studied by many trials experimentally as the cost will shoot up sharply. In this context, the results obtained from such computational studies with a feasible variation of various combinations of parameters may act as a set of guidelines to freeze the adequate combination of various parameters to conduct one or two costly experiments for confidence building.
Effects of unconfined blast on strategic structures and its protective measures
Bishwajeet Choubey,Sekhar C. Dutta,Md. Ahsaan Hussain 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.84 No.2
A strategic structure when exposed to direct hit of conventional bomb/projectile are severely damaged because of large amounts of energy released by the impact and penetration of bomb. When massive concrete slabs suffer a direct hit, the energy released during impact and penetration process are able to easily break up large mass of concrete. When over stressed under such impact of bombs, the concrete structure fails showing brittle behavioural nature. This paper is intended to study and suggest the protective measures for structures used for strategic application by adopting a means to dissipate the large quantum of energy released. To quantitatively evaluate the force, displacement and energy in such scenario, a fine numerical model of the proposed layered structure of different combinations was built in ANSYS programme in which tri-nitrotoluene (TNT) explosive was detonated at penetration depth calculated for GP1000 Lbs bomb. The distinct blast mitigation effect of the proposed structure was demonstrated by adopting various layers/barriers created as protective measures for the strategic structure. The calculated result shows that the blast effect on the structure is potentially reduced due to provision of buster slab with sand cushioning provided as protective measure to the main structure. This concept of layered protective measures may be adopted for safeguarding strategic structures such as Domes, Tunnels and Underground Structures.
SSTL Based Power Efficient Implementation of DES Security Algorithm on 28nm FPGA
Bishwajeet Pandey,Vandana Thind,Simran Kaur Sandhu,Tamanna Walia,Sumit Sharma 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.7
In this particular work, we have done power dissipation analysis of DES algorithm, implemented on 28nm FPGA. We have used Xilinx ISE software development kit for all the observation done in this particular research work. Here, we have taken SSTL (Stub-Series Terminated Logic) as input-output standard. We have considered six sub-categories of SSTL (i.e. SSTL135, SSTL135_R, SSTL15, SSTL15_R, SSTL18_I and SSTL18_II) for four different WLAN frequencies (i.e. 2.4GHz, 3.6GHz, 4.9GHz, and 5.9GHz). We have done analysis considering five basic powers i.e. clock power, logic power, signal power, IOs power, leakage power and total power. There is 50-60% reduction in power dissipation, which is possible with proper selection of the most energy efficient IO standards i.e. SSTL135_R among SSTL logic families.
FPGA Based Low Power DES Algorithm Design and Implementation using HTML Technology
Vandana Thind,Bishwajeet Pandey,Kartik Kalia,D M Akbar Hussain,Teerath Das,Tanesh Kumar 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.6
In this particular work, we have done power analysis of DES algorithm implemented on 28nm FPGA using HTML (H-HSUL, T-TTL, M-MOBILE_DDR, L-LVCMOS) technology. In this research, we have used high performance software Xilinx ISE where we have selected four different IO Standards i.e. MOBILE_DDR, HSUL_12, LVTTL and LVCMOS (LVCMOS_15, LVCMOS_18, LVCMOS_25 and LVCMOS_33). We have done power analysis of on-chip power like clock power, signals power, IO power, leakage power and supply power. We notified our analysis at five different voltages like 0.5V, 0.8V, 1.0V, 1.2V and 1.5V.
A Study of Today’s A.I. through Chatbots and Rediscovery of Machine Intelligence
Anirudh Khanna,Bishwajeet Pandey,Kushagra Vashishta,Kartik Kalia,Bhale Pradeepkumar,Teerath Das 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.7
Artificial Intelligence in machines is a very challenging discussion. It involves the creation of machines which can simulate intelligence. This paper discusses some of the current trends and practices in AI and subsequently offers alternative theory for improvement in some of today’s prominent and widely accepted postulates. For this, focus on the structuring and functioning of a simple A.I. system - chatbots (or chatter bots) is made. The paper shows how current approach towards A.I. is not adequate and offers a new theory that discusses machine intelligence, throwing light to the future of intelligent systems.
Aditi Moudgil,Kanika Garg,Bishwajeet Pandey 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.9
In this work, we are making Energy Efficient Internet of Things (IoTs) Enable RAM. In order to make it energy efficient, we are using low voltage complementary metal oxide semiconductor (LVCMOS) Standards. We are using the 3 different members of LVCMOS IO standards family at different FGPA (virtex-5 and virtex-6) and searching the most energy efficient among them. We are inserting 128-bit IP address in RAM to make internet of things enable RAM. Finally, we are operating our IOTs Enable RAM with different operating frequency of I3, I5, I7, Moto-E and Moto-X.
Thermal aware Internet of Things Enable Energy Efficient Encoder Design for Security on FPGA
Deepa Singh,Kanika Garg,Ravneet Singh,Bishwajeet Pandey,Kartik Kalia,Hasmatullah Noori 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.6
In this work, we are going to use thermal aware approach in Encoder design and also testing thermal stability by working on different ambient temperatures 298.15K, 308.15K, 318.15K, 328,15K, 338.15K and 348.15K and 358.15K. We have observe the compatibility of our device with wireless network by working on different I/O standards (LVCMOS15 and LVCMOS25) . There is 30.29% reduction in leakage power, when we scale down temperature from 358.15K to 298.15K using LVCMOS15 as I/O standard on 40nm Virtex FPGA. Leakage power is calculated for 65nm FPGA and 90nm FPGA as well .In this work, we are using Verilog Hardware Description Language.
Mumtaz Hussain Soomro,Sayed Hyder Abbas Musavi,Bishwajeet Pandey 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.4
In this research, a novel method based on Canonical Correlation Analysis (CCA) and Artificial Neural Network (ANN) to detect epileptic seizures from EEG signals is proposed. CCA was applied on EEG signals and feature vectors corresponding to Eigen values were extracted. These Eigen values were fed as input to Artificial Neural Network (ANN)’s widely explored model Multilayer Perceptron Neural Networks (MLPNNs) for classification between occurrence of non-epileptic seizures and epileptic seizures. The extracted Eigen values using CCA proved to be a better epileptic seizures detector and provide average classification accuracy, sensitivity and specificity as 92.583%, 93.25% and 91% respectively.