Jabalpur Engineering College

Jabalpur, India

Jabalpur Engineering College

Jabalpur, India
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Chauhan P.S.,Maulana Azad National Institute of Technology | Kumar A.,Maulana Azad National Institute of Technology | Kumar A.,Prince of Songkla University | Gupta B.,Jabalpur Engineering College
Renewable and Sustainable Energy Reviews | Year: 2017

This review paper appraisal the previous work on the thermal modeling of greenhouse drying systems. Thermal modeling plays a significant role in ideal design and development of the greenhouse dryer. It is also very useful tool in optimizing the drying parameters to enhance the performance of greenhouse drying systems under various modes of operation. The crop and greenhouse room air temperature, relative humidity inside greenhouse, drying rate, drying kinetics and drying potential can be estimated precisely from thermal modeling. This piece of work is a comprehensive review of various thermal modeling done by researchers for greenhouse drying systems. The greenhouse dryer can be designed for a given mass of crop as well as location of installation from energy balance equations. This review will be valuable and appropriate for further development of energy efficient greenhouse drying systems. © 2016 Elsevier Ltd

Singh S.,Jabalpur Engineering College | Verma S.,GBPEC | Tiwari A.,Research Scholar
Proceedings on 2016 2nd International Conference on Next Generation Computing Technologies, NGCT 2016 | Year: 2017

Terrorist Data Mining basically means to encounter all the data of terrorism from the huge amount of data. In a more intricate way we all know that terrorist set their foot into any predominant place through railway station, bus stands or airport. Usually to communicate they use their cell phones and network. Now if these areas are well equipped with LAN or WAN, that is the Wi-Fi connections surely these terrorist would avail themselves. Then with the help of data used by terrorists their presence can be spotted easily and their information can be collected. This paper describes a novel work to counter the presence of terrorist at public place in a well-defined manner. © 2016 IEEE.

Singh A.,Maulana Azad National Institute of Technology | Baredar P.,Maulana Azad National Institute of Technology | Gupta B.,Jabalpur Engineering College
Energy Conversion and Management | Year: 2017

A hydrogen fuel cell (HFC) and solar photovoltaic (SPV) hybrid renewable energy system (HRES) for stand-alone applications is proposed. This system arrangement of a hydrogen tank, battery, and an electrolyzer are used as like the energy storage. The economic viability of using HRES power to supply the electrical load demand of academic research building located at 23°12′N latitude and 77°24′E longitudes, India is examined. The fuzzy logic program computes the optimum value of capital and replacement cost of the components, which is then utilized in HOMER pro software to calculate the optimum performance of HRES. The results shows the HFC and battery bank are the most significant modules of the HRES to meet load demand at late night and early morning hours. The AC primary load consuming 20712.63 kWh/year out of total power generation of HRES which is 24570.72 kWh/year. The excess of electricity produced by HRES is 791.7709 kWh/year with the optimized cost of energy, unmet electrical load and capacity shortage of 0%. © 2017 Elsevier Ltd

Patel P.,Jabalpur Engineering College
Proceedings - 2015 International Conference on Computational Intelligence and Communication Networks, CICN 2015 | Year: 2015

The problem of frequency offset is very serious in case of orthogonal frequency division multiplexing communication systems (OFDM). The reason is that the frequency offset disturbs the relation of orthogonality among the sub carriers and lead to an interference known as inter-carrier interference (ICI). This paper studies the existing inter-carrier interference self cancellation methods and proposes a new and effective method to suppress the effect of frequency offset on OFDM systems. The method comprises of two simple steps. The first step is carried out at the transmitter end where a data symbol and its conjugate are mapped onto four sub carriers. The second step is carried out at the receiver end where the received signals are linearly combined. The result is that the ICI existing among the sub carriers is sufficiently reduced. The proposed method is supported with mathematical work and the simulation is done on MATLAB which proves that our proposed method reduces the bit error rate (BER) to a greater extent and also carrier-to-interference ratio (CIR) is increased than the existing self cancellation schemes. © 2015 IEEE.

Roy V.,Jabalpur Engineering College | Shukla S.,Jabalpur Engineering College
Journal of Organizational and End User Computing | Year: 2017

The Big data as Electroencephalography (EEG) can induce by artifacts during acquisition process which will obstruct the features and quality of interest in the signal. The healthcare diagnostic procedures need strong and viable biomedical signals and elimination of artifacts from EEG is important. In this research paper, an improved ensemble approach is proposed for single channel EEG signal motion artifacts removal. Ensemble Empirical Mode Decomposition and Canonical Correlation Analysis (EEMD-CCA) filter combination are applied to remove artifact effectively and further Stationary Wavelet Transform (SWT) is applied to remove the randomness and unpredictability due to motion artifacts from EEG signals. This new filter combination technique was tested against currently available artifact removal techniques and results indicate that the proposed algorithm is suitable for use as a supplement to algorithms currently in use. © 2017, IGI Global.

News Article | January 24, 2017
Site: globenewswire.com

PLANO, Texas, U.S.A. - (Jan. 24, 2017) - JCPenney, one of the United States' largest apparel and home furnishings retailers, announced today the appointment of Snehil Gambhir as vice president, managing director at the Company's global in-house center (GIC) in Bangalore, India.  Gambhir brings over 20 years of global business and technology experience to JCPenney. "Snehil is a proven solutions driven leader with extensive experience in global business and technology," said Therace Risch, EVP and chief information officer at JCPenney.  "We're confident that his leadership will empower our Bangalore team to continue delivering important business and technology capabilities for JCPenney." In his role, Gambhir leads all operations at the Company's first-ever GIC, which opened in August of 2016.  His responsibilities include supporting and expanding a variety of key business functions, including IT, digital, store operations, analytics, marketing, infrastructure and merchandise operations. Gambhir brings an abundance of leadership and technology experience to JCPenney.  He most recently worked as chief operating officer for Aviva Life Insurance India, where he was responsible for all strategic and operations leadership of Aviva's Service Delivery functions.  Prior to that, Gambhir spent ten years at GE in roles of increasing responsibility, including contracts and cost out leader for GE Oil & Gas; business leader for GE's GENPACT Center of Excellence; and quality, operations and digitization leader for GE Corporate, Global Business Services. Gambhir has a B.E. in electronics and telecommunication from Jabalpur Engineering College and an MBA from University of Illinois at Urbana-Champaign. For information related to the Company's opening of its GIC in 2016, please access the following news release:  http://www.jcpnewsroom.com/news-releases/2016/0818_opens_first_ever_global_inhouse _center_in_bangalore.html Media Relations: (972) 431-3400 or ; follow us at @jcpnews About JCPenney: J. C. Penney Company, Inc. (NYSE:JCP), one of the nation's largest apparel and home furnishings retailers, is on a mission to ensure every customer's shopping experience is worth her time, money and effort. Whether shopping jcp.com or visiting one of over 1,000 store locations across the United States and Puerto Rico, she will discover a broad assortment of products from a leading portfolio of private, exclusive and national brands. Supporting this value proposition is the warrior spirit of over 100,000 JCPenney associates worldwide, who are focused on the Company's three strategic priorities of strengthening private brands, becoming a world-class omnichannel retailer and increasing revenue per customer. For additional information, please visit jcp.com.

Nema S.,Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalay | Thakur S.S.,Jabalpur Engineering College
Proceedings of 2015 IEEE 9th International Conference on Intelligent Systems and Control, ISCO 2015 | Year: 2015

In this paper, Improved Particle Swarm Optimization (IPSO) approach is used in feature selection process-Linear Discriminant Analysis (LDA). This evolutionary random search method enhanced the classification rate with less computational time. The effectiveness of the proposed IPSO-LDA method is verified by employed Indian Face Database (IFD) and compare the results with existing methods. © 2015 IEEE.

Rai H.M.,Jabalpur Engineering College | Trivedi A.,Jabalpur Engineering College | Shukla S.,Jabalpur Engineering College
Measurement: Journal of the International Measurement Confederation | Year: 2013

This paper deals with ECG signal analysis based on Artificial Neural Network and combined based (discrete wavelet transform and morphology) features. We proposed a technique to truthfully classify ECG signal data into two classes (abnormal and normal class) using various neural classifier. MIT-BIH arrhythmia database utilized and selected 45 files of one minute recording (25 files of normal class and 20 files of abnormal class) out of 48 files based on types of beat present in it. The total 64 features are separated in to two classes that is DWT (48) based features and morphological (16) feature of ECG signal which is set as an input to the classifier. Three neural network classifiers: Back Propagation Network (BPN), Feed Forward Network (FFN) and Multilayered Perceptron (MLP) are employed to classify the ECG signal. The classifier performance is measured in terms of Sensitivity (Se), Positive Predictivity (PP) and Specificity (SP). The system performance is achieved with 100% accuracy using MLP. © 2013 Elsevier Ltd. All rights reserved.

Chaube A.,Jabalpur Engineering College | Gupta S.,Rajiv Gandhi University | Verma P.,Jabalpur Engineering College
Journal of Mechanical Science and Technology | Year: 2014

The influence of a gap provided in integral inclined ribs on heat transfer and friction factor enhancement is investigated. Experiments are conducted to obtain heat transfer and friction factor characteristics in a square channel with two opposite in-line ribbed walls for Reynolds numbers from 5000 to 40000. The test section of square channel composed of integral inclined ribs with a gap and has a length-tohydraulic diameter ratio (L/D h) of 20. The rib pitch-to-height ratio (p/e) is 10, the rib height-to-hydraulic diameter ratio (e/D h) is 0.060 and rib attack angle (α) varies in the range of 300 to 900 (4 steps). The relative gap position (d/W) and relative gap width (g/e) is varied in the range of 1/5-2/3 (5 steps) and 0.5-2.0 (4 steps), respectively. The enhancement in heat transfer and friction factor of this roughened duct was compared with smooth duct and duct roughened with continuous inclined ribs (with no gap) under similar flow condition. Presence of inclined ribs with a gap yields about 4-fold enhancements in Nusselt number and about 8-fold increase in the friction factor compared with smooth duct and about 1.3 times and 1.4 times higher than the case of continuous ribs (without gaps) for the entire range of parameters investigated. Ribs with relative gap width of 1.0 at relative gap position of 1/3 and attack angle of 60° provides maximum heat transfer and friction factor enhancement. © 2014 The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.

Singh R.,Jabalpur Engineering College | Mishra A.,Jabalpur Engineering College
Proceedings - 2015 International Conference on Computational Intelligence and Communication Networks, CICN 2015 | Year: 2015

The paper presents a new speech enhancement algorithm using feedback particle filter. The innovation error based feedback structure is the decisive factor for Feedback particle filter. The robustness is key feature, this variant is found to improve the performance of the system reducing MSE as compared to conventional particle filter at even lower no of particles, without much preprocessing or modeling, gain and innovation error depends on values of variance and means of particle hence dynamically generated. The feedback particle filter outperforms a conventional particle filter. © 2015 IEEE.

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