News Article | July 22, 2017
The annual Best Companies list is featured in the August issue of Florida Trend magazine. One-hundred companies are ranked in small, medium and large employer categories. To participate, companies or government entities had to employ at least 15 workers in Florida and have been in operation at least one year. Companies that chose to participate underwent an evaluation of their workplace policies, practices, philosophy, systems and demographics. The process also included a survey to measure employee satisfaction. The combined scores determined the top companies and the final ranking. For the past seven years, Bit-Wizards has ranked on this prestigious list of employers in Florida. This year, Bit-Wizards ranks #3 and the wizard team is excited and proud to be listed among the top companies to work for in Florida. “Bit-Wizards is pleased and proud to make Florida Tends Best Places to work for the 8th year in a row and the top ten once again. Bit-Wizards is proud to have fully funded systems and processes to help our team be the best at their jobs and balance their personal lives making them awesome well-rounded people. I love coming to work every day to spend time with interesting, smart, and fun wizards!” says Chief Operations Officer, Louis Erickson. Bit-Wizards works to improve employee work life each year. One of the most beneficial parts of wizard life are the regular training opportunities provided to the team. Twice a month the team meets for a Tech ’30 collaboration. Individuals get to share new and exciting skills and knowledge from their respective technology fields. Bit-Wizards also sponsors the monthly .NET User Group for the local development community. On a yearly basis, wizards have the opportunity to attend industry training events and conferences. Keeping up with the changes in the technology industry isn’t an easy task. Therefore, Bit-Wizards makes sure that training opportunities and skills improvements are always a focus. About Bit-Wizards Bit-Wizards is an innovative, award-winning technology company with offices in Fort Walton Beach, Florida, Memphis, Tennessee, and Austin, Texas. A Kentico Gold Partner and a managed Microsoft Gold Partner, Bit-Wizards fills the need of any business seeking to develop an application, build a brand, or move to the cloud. Bit-Wizards never outsources a project. About Florida Trend Florida Trend business magazine is read by 250,000 influential business executives, civic leaders and government officials each month. Its award-winning reporting covers business news, executives, key industry sectors, regional news and lifestyle. Enewsletters cover breaking news, movers and influencers, health care, education and small business. Floridatrend.com attracts over 100,000 unique viewers monthly. About Best Companies Group Best Companies Group works with partners worldwide to establish and manage “Best Places to Work,” “Best Companies” and “Best Employers” programs. Through its thorough workplace assessment, utilizing employer questionnaires and employee-satisfaction surveys, BCG identifies and recognizes companies that have been successful in creating and maintaining workplace excellence. For more information, visit http://www.BestCompaniesGroup.com. All product and company names herein may be trademarks of their respective owners.
Mrinalee S.,BIT |
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016
During the last decade, an intense research into the chaotic communication systems have resulted into invention of several chaos based communication systems, which offer numerous advantages over the conventional communication systems. However, future of the communication systems are all about the Multiple Input Multiple Output (MIMO) systems. So, in this paper, we have tried to implement the chaos based communication in MIMO systems. We have used the Chaos Shift Keying (CSK) modified using surrogate data. We have analysed the BER of the proposed system with the conventional techniques. © 2016 IEEE.
Prakash G.,KS Rangasamy College of Technology |
ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology | Year: 2011
The IEEE 802.11e WLAN defines a MAC Protocol to support real-time application. In this paper, we propose an analytical model for performance evaluation of IEEE 802.11e EDCA scheme under non-saturation condition and channel error rate. The analytical model is suitable for both basic access and RTS/CTS access mechanisms. We develop an expression for the nonsaturation throughput as a function of the number of stations, packet sizes and BER. We validate the accuracy of our analysis with simulation expression. Using this model, the contention factors can be arranged appropriately to accomplish specific quality-of-service (QoS) requirements. © 2011 IEEE.
Kar A.,IIIT |
Studies in Computational Intelligence | Year: 2014
The structure of an adaptive time varying linear filter largely depends on its tap-length and the delay units connected to it. The no of taps is one of the most important structural parameters of the liner adaptive filter. Determining the system order or length is not a trivial task. Fixing the tap-length at a fixed value sometimes results in unavoidable issues with the adaptive design like insufficient modeling and adaptation noise. On the other hand a dynamic tap-length adaptation algorithm automatically finds the optimum order of the adaptive filter to have a tradeoff between the convergence and steady state error. It is always difficult to get satisfactory performance in high noise environment employing an adaptive filter for any identification problem. High noise decreases the Signal to noise ratio and sometimes creates wandering issues. In this chapter an improved pseudo-fractional tap-length selection algorithm has been proposed and analyzed to find out the optimum tap-length which best balances the complexity and steady state performance specifically in high noise environment. A steady-state performance analysis has been presented to formulate the steady state tap-length in correspondence with the proposed algorithm. Simulations and results are provided to observe the analysis and to make a comparison with the existing tap-length learning methods. © Springer International Publishing Switzerland 2014.
Sarkar B.K.,B.I.T. |
Sana S.S.,Bhangar Mahavidyalaya C.U. |
Chaudhuri K.,Jadavpur University
Applied Soft Computing Journal | Year: 2012
Individual classifiers predict unknown objects. Although, these are usually domain specific, and lack the property of scaling up prediction while handling data sets with huge size and high-dimensionality or imbalance class distribution. This article introduces an accuracy-based learning system called DTGA (decision tree and genetic algorithm) that aims to improve prediction accuracy over any classification problem irrespective to domain, size, dimensionality and class distribution. More specifically, the proposed system consists of two rule inducing phases. In the first phase, a base classifier, C4.5 (a decision tree based rule inducer) is used to produce rules from training data set, whereas GA (genetic algorithm) in the next phase refines them with the aim to provide more accurate and high-performance rules for prediction. The system has been compared with competent non-GA based systems: neural network, Naïve Bayes, rule-based classifier using rough set theory and C4.5 (i.e., the base classifier of DTGA), on a number of benchmark datasets collected from UCI (University of California at Irvine) machine learning repository. Empirical results demonstrate that the proposed hybrid approach provides marked improvement in a number of cases. © 2011 Elsevier B.V. All rights reserved.
Islam A.,BIT |
2012 Annual IEEE India Conference, INDICON 2012 | Year: 2012
Due to increase in Vt (threshold voltage) variation caused by global and local process variations in ultrashort-channel devices, CMOS-based 6T SRAM cell and its variants cannot be operated at voltage lower than 600 mV. Therefore, this paper presents a FinFET-based 8T SRAM cell to mitigate impact of process variation. In this work, various design metrics are assessed and compared with MOSFET-based RD8T SRAM cell. The proposed design offers 4.35× and 1.86× improvements in TRA (read access time) and TWA (write access time) respectively compared to RD8T. It proves its robustness against process variations by featuring narrower spread in TRA distribution (6.95×) and TWA distribution (5.04×) compared with RD8T. These improvements are achieved at the expense of 11.65× higher read power and 13.75× higher write power. However, proposed bitcell exhibits 3.64× narrower spread in read power and 1.94× narrower spread in write power. Our bitcell achieves 6% improvement in RSNM compared with RD8T at the cost of reduction in WSNM (write static noise margin). However, it is still RSNM limited and is more balanced in terms of RSNM and WSNM. © 2012 IEEE.
Pal M.,National Institute of Technology Kurukshetra |
Singh N.K.,BIT |
Tiwari N.K.,National Institute of Technology Kurukshetra
Engineering Applications of Artificial Intelligence | Year: 2011
This paper investigates the potential of support vector machines based regression approach to model the local scour around bridge piers using field data. A dataset of consisting of 232 pier scour measurements taken from BSDMS were used for this analysis. Results obtained by using radial basis function and polynomial kernel based Support vector regression were compared with four empirical relation as well as with a backpropagation neural network and generalized regression neural network. A total of 154 data were used for training different algorithms whereas remaining 78 data were used to test the created model. A coefficient of determination value of 0.897 (root mean square error=0.356) was achieved by radial basis kernel based support vector regression in comparison to 0.880 and 0.835 (root mean square error=0.388 and 0.438) by backpropagation neural and generalized regression neural network. Comparisons of results with four predictive equations suggest an improved performance by support vector regression. Results with dimensionless data using all three algorithms suggest a better performance by dimensional data with this dataset. Sensitivity analysis suggests the importance of depth of flow and pier width in predicting the scour depth when using support vector regression based modeling approach. © 2010 Elsevier Ltd. All rights reserved.
Tiwari A.,BIT |
Mandal A.,NIFFT |
Materials Today: Proceedings | Year: 2015
Objective: of thework is to achieve best optimal combination of various input parameter for radial over-cut (ROC) in electrochemical machining for EN 19 tool steel with copper electrodeapplyingtaguchitechnique. The electrolytic concentration, voltage, feed rate and inter electrode gap are considered as input process parameters for electro-chemical machining. Optimal combination of selected input parameters utilized in order to achieve the minimum overcut effects for better accuracy of shape features. The experiments were undertaken as per taguchiL27 orthogonal array (OA) with three levels for each machining parameter. The Design of Experiments of L27 orthogonal array was tabulated with the aid of Minitab software version 16. The impact of each machining process parameterswere predicted by performing ANOVA at 95% level of significance. This paper also stress on the development of mathematical model by using regression analysis, second order response equation obtained between the controllable variables and parametric interactions for overcut as response. From the obtained results, it wasobserved thatvoltage and concentrationwere the most dominating criteria for minimization of overcut. © 2015.
Verma N.,BIT |
Procedia Engineering | Year: 2016
Value stream mapping is an effective tool of lean manufacturing to reduce the wastage in any process by segregating value added and non-value added activities. The present work uses the concept of value stream mapping and developed energy value stream mapping to address the non productive energy consuming processes. This paper focuses on achieving Green Manufacturing as overall productivity which has already reached an acceptable value. The main problem identified is that there is a void when it has been looked for a tool to achieve Lean Manufacturing along with Green manufacturing. It deals with the development of a method that allows a first quick, easy and comprehensive analysis of energy and material flows within the production processes. The paper concludes with discussing improvements in the processes. © 2016 The Authors. Published by Elsevier Ltd.
Priya A.,BIT |
Sinha E.,BIT |
Solid State Sciences | Year: 2013
In this paper, Barium Strontium Tungstate (Ba1-xSr x)WO4 crystals with (x = 0; 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 and 1.0) were prepared by standard wet milling ceramic preparation method. These crystals were structurally characterized by X-ray diffraction (XRD), Fourier transform Raman (FT-Raman) and Fourier transform infrared (FT-IR) spectroscopic techniques. The shape, growth and average crystal size distribution of these crystals were investigated by a scanning electron microscope (SEM). Their optical properties were investigated by ultraviolet visible (UV-vis) absorption and photoluminescence (PL) measurements. XRD patterns, Rietveld refinements data, FT-Raman and FT-IR spectroscopies indicate that all the crystals present a scheelite-type tetragonal structure without deleterious phases. FT-Raman spectra exhibited 6 Raman active modes in range from 100 to 1000 cm-1, while the FT-IR spectra presented 2 infrared active modes in range from 500 to 1000 cm-1. SEM micrographs showed well sintered BaWO4 grains, while the substitution of Sr induced modifications in the shape and reduction in the grain size. UV-vis absorption measurements evidenced an increase in the values of the optical band gap (from 4.36 to 4.53 eV) with the increase of Sr into BaWO4 lattice. Dielectric constant, temperature coefficient of resonant frequency (τf), quality factors were measured with Hakki-Coleman technique. The value of τf found -43.68 ppm/ C for BaWO4 which increased to -21.40 ppm/ C for the SrWO4. © 2013 Elsevier Masson SAS. All rights reserved.