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Articles by Mukesh Kumar
Total Records ( 7 ) for Mukesh Kumar
  C.C. Tripathi , Mukesh Kumar and Dinesh Kumar
  The saddle field fast atom beam sputtered (ABS) 50nm thick molybdenum carbide (Mo2C) films as a diffusion barrier for copper metallization were investigated. To study the diffusion barrier properties of Mo2C films, the as-deposited and annealed samples were characterized using four probes, X-ray diffraction, field enhanced scanning electron microscopy, energy dispersive X-ray analysis, atomic force microscopy and Rutherford back scattering techniques. The amorphous structure of the barrier films along with presence of carbon atoms at the molybdenum carbide–silicon interface is understood to reduce effective grain boundaries and responsible for increased thermal stability of Cu/Mo2C/Si structure. The lowest resistivity of the as-deposited molybdenum carbide barrier films was ~29μΩcm. The low carbon containing molybdenum carbide was found thermally stable up to 700°C, therefore can potentially be used as a diffusion barrier for copper metallization.
  Mukesh Kumar and A.J. Singh
  Machine Learning (ML) Technology is an area of Artificial Intelligence (AI) to facilitate computer systems with the capability to involuntarily learn and improve from user experience without being explicitly programmed from outside. It mainly focuses on the expansion of computer programs that can access data from its user to learn for themselves. With this technology, we can predict the performance of the student in academic. Here, we are implemented Naive-Bayes (NB), Support Vector Machine (SVM), Random Forest (RF) and Artificial Neural Network (ANN) algorithms to find the total effort required for analysis. We proposed a Hybridized Support Vector Machine-Neural Network (SVM-NN) Machine Learning Algorithm which requires less effort to accurately analysis the student’s academic performance.
  Xin you Su , Jian Qiang Zhao , Nan Li , Mukesh Kumar and Ai mei Ou yang
  Background and Objective: Hepatocellular carcinoma (HCC) is the major threat to the human health and it has got 6th rank among all types of cancers and 3rd leading cause of cancer related death. The HCC patients have high mortality rate. Resveratrol (natural phenol) participate in a significant way in the formation of the cell membrane and also play a significant role in functioning of membrane fluidity and proteins. This study was aimed to examine the anticancer effect of resveratrol (RT) against diethylnitrosamine (DEN) induced HCC in Wistar rats. Materials and Methods: For the current experimental study, the Wistar rats were used and an intraperitoneal dose of DEN (200 mg kg–1) was given to them for the induction of HCC. The rats received various doses of RT for 22 weeks. The progressions of serum biomarkers and macroscopical components of hepatic tissue were used to access the prophylactic effects. The antioxidant parameters, cancer preventive agent status and apoptosis mechanism were reviewed to scrutinize the possible mechanism. Results: The RT treatment significantly (p<0.001) altered the hepatic nodules, body weight and hepatic, antioxidant, non-hepatic parameters in a dose-dependent manner. The macroscopical observation exhibited the hepatic nodules in DEN-induced rat’s liver and dose-dependent treatment RT significantly reduced the formation of hepatic nodules and decolourization of tissue. Curiously, the expression of β-arrestin-2, Bcl-xal and Bcl-2 were significantly (p<0.001) reduced and expression of caspase-3 and Bax was significantly (p<0.001) increased at the dose-dependent manner of RT treatment. Conclusion: On the basis of result, the authors concluded that the RT exhibited the defensive effect against the DEN-induced HCC that might be due to antioxidant effect and actuation of apoptosis.
  Jyoti Chaudhary and Mukesh Kumar
  Software development associations spend extensive part of their financial plan and time in testing related exercises. The adequacy of the verification and validation process relies on the number of errors found and corrected before releasing the software to the customer side by means of testing procedure. Mutation testing is a fault-based programming testing procedure that has been broadly concentrated on for more than three decades. As of late, evolutionary or optimization algorithms have been demonstrated reasonable for decreasing the cost of test case generation in the context of mutation testing. In this study, we develop a new combination of optimization algorithms called a hybrid Artificial Bee Colony-Penguin Search Optimization (ABC-PeSO) approach for generating efficient test input data in the context of mutation testing to decrease the cost of such a test scheme. Here, in this hybrid method, the ABC algorithm is enhanced by converting the random search process of scout bee phase to randomized process by using PeSO. Also, to evaluate the performance of the proposed ABC-PeSO, a detail comparison is conducted for different algorithms like ABC, PeSO, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The comparison between the proposed and existing method in behalf of two benchmark programs as mutation score and path coverage. According to the analysis, it is concluded that proposed ABC-PeSO approach has produced better results.
  Naveen Daraand and Mukesh Kumar
  This study designs a MAC by using the hybrid TLBO-PSO algorithm for the Wireless Body Area Network (WBAN). The CSMA/CA based MAC computes the delay to transmit the data on channel by sensing the channel along with adding a random delay. The designed MAC uses the basic concept of CSMA/CA to sense the channel but the delay added to transmit the data is the optimized delay computed by the TLBO-PSO algorithm. The algorithm also, uses the low range sensor to reduce the specific absorption rate resulting less bad affect on human body due to sensor radiations. The performance of the algorithm has been compared with existing three state of art techniques, TDMA based MAC, Aloha based MAC, CSMA/CA based MAC optimized by PSO on different WBAN scenarios. The results clearly show the significance of designed technique.
  Harendra Kumar , Yuvana Satya Priya , Mukesh Kumar and Vadamali Elangovan
  The success of sericulture industry is mainly based on leaf quality and appropriate environmental conditions for silkworm rearing. Mulberry leaves are exclusive source of nutrition for silkworm. This study was aimed to assess the impact of different mulberry varieties namely S1, S13, S146, S1635 and TR10 and seasons viz., spring, autumn, summer and monsoon on growth and cocoon characteristics of bivoltine silkworm (Bombyx mori). Among the seasons, the spring season showed better growth and cocoon characteristics followed by autumn, summer and monsoon seasons. The better traits observed during favourable seasons than unfavourable seasons might be due to the influence of climatic conditions. The mulberry varieties did not show significant impact on growth and economic traits studied, however the effect of different mulberry varieties on cocoon yield was observed in the following order: S1>TR10>S146>S1635>S13. The highest cocoon yield for 10000 larvae was observed in S1 (8.949 kg) while the minimum yield was observed in S13 (8.794 kg). The traits such as larval length, larval width, larval weight, shell ratio, filament length and filament weight showed positive correlation with yield. The results showed the suitability of S1 mulberry variety and spring season for commercial rearing and more productivity.
  Davinder Rathee , Mukesh Kumar and Sandeep K. Arya
  Recently much research has been reported that a transparent oxide semiconductor having optical band gap wider than 3 eV can be applied in microelectronics applications. The TiO2 is the one which meets this requirement. So TiO2 thin films have been deposited on well clean P-type silicon substrates via a sol-gel spin coating method. The phase structure and morphologies of thin Nano crystalline film were characterized by X-Ray powder diffraction (XRD), Field-emission Scanning Electron Microscope (FESEM) and Atomic Force electron Microscope (AFM). The structural characteristics carried out for as deposited thin films shows amorphous nature. The crystallite sizes of the TiO2 particle measured from the typical diffraction peaks and found to be approximately 38 to 65 nm. The annealed films were found to be Nanocrystalline in nature and also greatly improved at higher temperature in N2 atmosphere. The Raman spectra peaks were observed at 144, 192, 390 cm, 519 and 634 cm-1 for active anatase phase of TiO2. The electrical properties were investigated by capacitance-voltage (C-V) and current-voltage (I-V) analysis. The dielectric constant 27 and optical dielectric constant 5.43 were found by C-V analysis and ellipsometry respectively. This paper investigates the sol-gel process to deposit Nanocrystalline TiO2 thin films with simple and cost effective experimental set up.
 
 
 
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