With the innovation of cloud computing industry lots of services were provided based on different deployment criteria. Nowadays everyone tries to remain connected and demand maximum utilization of resources with minimum timeand effort. Thus, making it an important challenge in cloud computing for optimum utilization of resources. To overcome this issue, many techniques have been proposed ...

The effect of preloading on mechanically stabilised earth (MSE) has remained an aspect difficult to quantify in design, particularly when considering different reinforcement types, stiffness values, and facing rigidity. This study analyses several scaled model tests MSE walls under a strip footing load with single unloading-reloading cycle. Scaled models were constructed as part this investigat...

This paper presents a statistical analysis of the least mean square (LMS) algorithm with a zero-memory scaled error function nonlinearity following the adaptive filter output. This structure models saturation effects in active noise and active vibration control systems when the acoustic transducers are driven by large amplitude signals. The problem is first defined as a nonlinear signal estimat...

Context: How to adopt, scale and tailor agile methods depends on several factors such as the size of the organization, business goals, operative model, and needs. The Scaled Agile Framework (SAFe ©) was developed to support organizations to scale agile practices across the enterprise. Problem: Early adopters of SAFe © tend to be large multi-national enterprises who report that the adoption of S...

This paper presents the Discrete Wavelet based fusion techniques for combining perceptually important image features. SPIHT (Set Partitioning in Hierarchical Trees) algorithm is an efficient method for lossy and lossless coding of fused image. This paper presents some modifications on the SPIHT algorithm. It is based on the idea of insignificant correlation of wavelet coefficient among the medi...

We present an analytical framework for the channel estimation and data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital converters (ADCs) i.i.d. Rayleigh fading. First, we provide closed-form expressions of mean squared error (MSE) considering state-of-the-art linear minimum MSE estimator class scaled least-squares estimators. For detection, expect...

Most epidemiologic cohorts are composed of volunteers who do not represent the general population. To improve population inference from cohorts, propensity-score (PS)-based matching methods, such as PS-based kernel weighting (KW) method, utilise probability survey samples external references to develop PSs for membership in cohort versus survey. We identify a strong exchangeability assumption (...