HCTM Kaithal

Haryana, India

HCTM Kaithal

Haryana, India
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Lamba V.,HCTM Kaithal | Wilkinson S.J.,Banasthali University | Arora C.,VICT Meerut
Journal of Molecular Modeling | Year: 2011

The work focuses on a theoretical approach to investigating the electric field (EF) dependence of bondlength alternation, the geometric and electronic structures of molecular wires used in the design of molecular electronic devices, the EF dependence of SCF energy, and the spatial distribution of the frontier orbitals of the molecular wires. Just as the bond length is an important influence on the conductance of the molecular wire, the dependence of the conductance on the chain length was also studied. We have also investigated how the current-voltage (I-V) characteristics change with bond length, as the bond length plays an important role in determining the conductance of molecular wires. © Springer-Verlag 2011.

Lamba V.K.,HCTM Kaithal | Sawhney R.S.,GNDU Amritsar | Engles D.,GNDU Amritsar
AIP Conference Proceedings | Year: 2011

In this communication we implemented a rigorous treatment of scattering in nano films within the NEGF simulation platform. Results obtained by applying the rigorous scattering model to simulate the devices, were used as a benchmark to validate a simple, computationally efficient, phenomenological treatment of scattering. The NEGF method is used to study the effect of electron confinement on silicon nano films and wires. Electron confinement results in almost a factor of 3 decreases in the electrical conductivity of the 5 nm silicon film compared to the 10 nm film. Increase in the amount of confinement also leads to a 35% decrease in the conductivity of a 5nm×5nm wire compared to the 5 nm film. © 2011 American Institute of Physics.

Kumar J.,G.I.M.T. Kurukshetrat | Chahal B.,HCTM Kaithal | Chahal M.,HCTM Kaithal | Kumar S.,HCTM Kaithal
International Journal of Applied Engineering Research | Year: 2012

Gear are the most important component in rotating machine. So their carrying capacity and reliability affect overall performance and hence productivity. Several fault detection technique are available by using vibration & acoustic signal. This paper presents the acoustic signal based technique for fault detection of gear on wear defect at inner race. A mike is used to record the acoustic signals generated by the gear assembly. The acoustic signals generated by the bearings are recorded by placing the mike in front of the rotating gear. Results show that the technique we have used is very effective not only in fault detection but also for severity of defect. © Research India Publications.

Garg N.,Punjab Technical University | Garg N.,Amity UniversityUttar Pradesh | Singla S.,IET Bhaddal | Jangra S.,HCTM Kaithal
Procedia Computer Science | Year: 2016

Big Data, the new buzz word in the industry, is data that exceeds the processing and analytic capacity of conventional database systems within the time necessary to make them useful. With multiple data stores in abundant formats, billions of rows of data with hundreds of millions of data combinations and the urgent need of making best possible decisions, the challenge is big and the solution bigger, Big Data. Comes with it, new advances in computing technology together with its high performance analytics for simpler and faster processing of only relevant data to enable timely and accurate insights using data mining and predictive analytics, text mining, forecasting and optimization on complex data to continuously drive innovation and make the best possible decisions. While Big Data provides solutions to complex business problems like analyzing larger volumes of data than was previously possible to drive more precise answers, analyzing data in motion to capture opportunities that were previously lost, it poses bigger challenges in testing these scenarios. Testing such highly volatile data, which is more often than not unstructured generated from myriad sources such as web logs, radio frequency Id (RFID), sensors embedded in devices, GPS systems etc. and mostly clustered data for its accuracy, high availability, security requires specialization. One of the most challenging things for a tester is to keep pace with changing dynamics of the industry. While on most aspects of testing, the tester need not know the technical details behind the scene however this is where testing Big Data Technology is so different. A tester not only needs to be strong on testing fundamentals but also has to be equally aware of minute details in the architecture of the database designs to analyze several performance bottlenecks and other issues. Like in the example quoted above on In-Memory databases, a tester would need to know how the operating systems allocate and de-allocate memory and understand how much memory is being used at any given time. So, concluding, as the data-analytics Industry evolves further we would see the IT Testing Services getting closely aligned with the Database Engineering and the industry would need more skilled testing professional in this domain to grab the new opportunities. © 2016 The Authors. Published by Elsevier B.V.

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