Implementation of An Extremely Effective Modified Reconfigurable Constant Coefficient Multiplier for Neural Network Architecture using FPGA

Due to their potential to reduce silicon area or boost throughput, low-precision computations were widely studied to speed up deep learning applications on field-programmable gate arrays (FPGAs). However, the precision suffers as a result of these advantages. proving the superiority of modified reconfigurable constant coefficient multipliers (MRCCMs) over low-precision math in terms of silicon area savings. MRCCMs can be highly optimized for FPGAs because they only use subtractors, adders, multiplexers, and bit shifts (MUXs) to multiply input values by a constrained set of coefficients. suggested a family of MRCCMs designed specifically for FPGA logic components to guarantee their effective use. Create innovative training methods that convert potential MRCCM coefficient models to the weight value ranges of neural networks to reduce information loss due to quantization. As a result, hardware can still use MRCCMs while keeping high accuracy. Utilizing the  ResNet-18, ResNet-50, and AlexNet networks, illustrates the advantages of these methods. The resulting implementations reduce resource consumption by up to 50% compared to conventional 8-bit quantized networks, which results in substantial speedups and power savings. All other methods with MRCCMs accomplish accuracy that is at least comparable to an 8-bit uniformly quantized system while significantly reducing resource usage, while our MRCCM has the lowest consumption of resources and surpasses 6-bit fixed point accuracy. Similar to that, this study compared the MRCCM  approach using Xilinx FPGA on various sizes of MRCCM like ADD-3, ADD-4, and ADD-2

ANALYSIS OF OXY-FUEL CUTTING PROCESS PARAMETERS USING GREY-TAGUCHI TECHNIQUE FOR MILD STEEL HRE350

The aim of present study is to investigate the effect of process parameters such as Gas pressure, Cutting speed and Torch distance on the output responses in oxy fuel cutting. The work is also extended to optimize the process parameters to achieve the optimized responses during oxy fuel cutting of Mild steel HR E350 using grey taguchi technique.. In this research L27 orthogonal array (OA) was selected for conducting experiments. The process responses such as Surface roughness (Ra) and kerf width (kw) are measured for every experimental run. The purpose of optimization is obtaining minimum surface roughness and minimum kerf width simultaneously. For optimization Grey relational analysis which is coupled with Taguchi Technique is selected. Analysis of variance (ANOVA) is done for finding significant process parameters and also for finding percentage of contribution of each process parameters in oxyfuel cutting. Finally a statistical technique called response surface methodology has been used for study the effects of the process parameters on surface roughness and kerf width by using design expert 9.0.3.1

Ring Substituents Mediate the Morphology of PBDTTPD-PCBM Bulk-Heterojunction Solar Cells

Among π-conjugated polymer donors for efficient bulk-heterojunction (BHJ) solar cell applications, poly(benzo[1,2-b:4,5-b′]dithiophene–thieno[3,4-c]pyrrole-4,6-dione) (PBDTTPD) polymers yield some of the highest open-circuit voltages (VOC, ca. 0.9 V) and fill-factors (FF, ca. 70%) in conventional (single-cell) BHJ devices with PCBM acceptors. In PBDTTPD, side chains of varying size and branching affect polymer self-assembly, nanostructural order, and impact material performance. However, the role of the polymer side-chain pattern in the intimate mixing between polymer donors and PCBM acceptors, and on the development of the BHJ morphology is in general less understood. In this contribution, we show that ring substituents such as furan (F), thiophene (T) and selenophene (S)—incorporated into the side chains of PBDTTPD polymers—can induce significant and, of importance, very different morphological effects in BHJs with PCBM. A combination of experimental and theoretical (via density functional theory) characterizations sheds light on how varying the heteroatom of the ring substituents impacts (i) the preferred side-chain configurations and (ii) the ionization, electronic, and optical properties of the PBDTTPD polymers. In parallel, we find that the PBDT(X)TPD analogs (with X = F, T, or S) span a broad range of power conversion efficiencies (PCEs, 3–6.5%) in optimized devices with improved thin-film morphologies via the use of 1,8-diiodooctane (DIO), and discuss that persistent morphological impediments at the nanoscale can be at the origin of the spread in PCE across optimized PBDT(X)TPD-based devices. With their high VOC ∼1 V, PBDT(X)TPD polymers are promising candidates for use in the high-band gap cell of tandem solar cells

The e-learning cycle and continuous improvement for e-entrepreneurs

The purpose of this paper is to explore the integration of learning, continuous improvement and innovation theories as a basis for enhancing the education of e-entrepreneurs. Conceptual development of emerging interdisciplinary literature is combined with example analysis to develop the Circle of E-learning uniquely augmented by hermeneutics, action research and the creative destruction cycle of innovation using applied examples of e-entrepreneurship. Four R&rsquo;s are discussed in the Circle of E-learning; Review, Revise, Reconstruct, and Reveal. Observations for each of the 4R&rsquo;s are made regarding continuous improvement of the education of e-entrepreneurs. Findings are that the procedural pivot points indicated by the 4R&rsquo;s can be helpful for administrators and educators to improve operations and outcomes in management and professional development situations.<br /

eHR Cloud Transformation: Implementation Approach and Success Factors

[EN] The article covers process models for HR IT projects and in particular for HR transformation projects. Based on the authors' experience, an applied process model for HR transformation projects in a cloud-based environment is derived. The article identifies findings applicable to the fields of organisation, business, and IT as well as decisions and critical success factors in the specific context of cloud-based HR solutions.Ziebell, R.; Albors Garrigós, J.; M.Schultz; Schoeneberg, KP.; Perelló Marín, MR. (2019). eHR Cloud Transformation: Implementation Approach and Success Factors. International Journal of Intelligent Information Technologies. 15(1):1-21. https://doi.org/10.4018/IJIIT.2019010101S12115

Towards a New Data Replication Management in Cloud Systems

International audienceApplications produce huge volumes of data that are distributed on remote and heterogeneous sites. This generates problems related to access and sharing data. As a result, managing data in large-scale environments is a real challenge. In this context, large-scale data management systems often use data replication, a well-known technique that treats generated problems by storing multiple copies of data, called replicas, across multiple nodes. Most of the replication strategies in these environments are difficult to adapt to cloud environments. They aim to achieve the best performance of the system without meeting the important objectives of the cloud provider. This article proposes a new dynamic replication strategy. The proposed algorithm significantly improves provider gain without neglecting customer satisfaction