Linear spectral mixture analysis (LSMA) is a widely used technique in remote sensing to estimate abundance fractions of materials present an image pixel. In order for LSMA-based estimator produce accurate amounts material abundance, it generally requires two constraints imposed on the linear model LSMA, which are sum-to-one constraint and nonnegativity constraint. The first sum pixel be one second imposes that these nonnegative. While easy deal with, difficult implement since results set...

Target detection in remotely sensed images can be conducted spatially, spectrally or both. The difficulty of detecting targets with spatial image analysis arises from the fact that ground sampling distance is generally larger than size interest which case are embedded a single pixel and cannot detected spatially. Under this circumstance target must carried out at subpixel level spectral offers valuable alternative. In paper, problem remote sensing considered, where two constrained approaches...

Abstract The automotive industry is relocating from viewing cars as standalone products to an all-encompassing ecosystem built around connected enabling data-driven business models. vastly increasing amount of data collected by grants a unique driving experience for its users while providing companies operating in the access valuable information and, ultimately, cost and revenue benefits. In this article, we develop empirically theoretically grounded taxonomy models car domain explore impact...

Latent Dirichlet Allocation (LDA) has seen increasing use in the understanding of source code and its related artifacts part because impressive modeling power. However, this expressive power comes at a cost: technique includes several tuning parameters whose impact on resulting LDA model must be carefully considered. An obvious example is burn-in period; too short period leaves excessive echoes initial uniform distribution. The aim work to provide insights into parameter's impact. Doing so...

The digital transformation offers new opportunities for organizations to expand their existing service portfolio in order achieve competitive advantages. A popular way create customer value is the offer of analytics-based services (ABS)-services that apply analytical methods data empower customers make better decisions and solve complex problems. However, research still lacks provide a profound conceptualization this novel type. Similarly, actionable insights on how purposefully establish...

A fully constrained least-squares linear unmixing approach to hyperspectral image classification is presented. It derived from an unconstrained based orthogonal subspace projection. similar a method developed by Shimabukuro and Smith (1991) in the sense, but significantly different their way of implementing constraints. Since there no closed form solution available, efficient algorithm for finding solution, which can be viewed as generalization Smith's method. The effectiveness this...

Smart Product-Service Systems (sPSS) offer the opportunity to create additional value by combining smart products with services. However, industry players often lack resources, know-how, and practical guidance develop, introduce, maintain such complex solutions. To support their innovation efforts, research first needs understand implications of applying these emerging technologies. Hence, we present a maturity model for sPSS describe compare solutions using twelve dimensions conduct case...

Abstract Nowadays, companies operate in increasingly competitive and dynamic markets with fast-changing customer needs. Simultaneously, major advances are being made information communication technologies, the digitization of products is progressing. Based on these economic technological trends, smart product-service systems (PSS) emerging as a new form business model. Recent studies show that transition to developing PSS challenge for they require methodological support, their internal...

Abstract This contribution reports Raman radiation damage measurements of zircons from the Kontinentale Tiefbohrung , on western border Bohemian Massif. The mean wavenumbers ( ω 3 ) and widths (Γ ν (SiO 4 band are constant down to km, decrease resp. increase between 5 again 7 km. Uniform high Γ values associated with close those undamaged zircon km interpreted as due residual predating exhumation A superimposed post‐exhumation signal indicates full retention depth, partial annealing zero at...

Abstract Latent Dirichlet allocation (LDA) has seen increasing use in the understanding of source code and its related artifacts part because impressive modeling power. However, this expressive power comes at a cost: The technique includes several tuning parameters whose impact on resulting LDA model must be carefully considered. aim work is to provide insights into parameters' impact. Doing so improves comprehension both researchers who look exploit their research those interpret output...

As the shortage of skilled workers continues to be a pressing issue, exacerbated by demographic change, it is becoming critical challenge for organizations preserve knowledge retiring experts and pass on novices. While this transfer has traditionally occurred through personal interaction, lacks scalability requires significant resources time. IT-based teaching systems have addressed but their development still tedious time-consuming. In work, we investigate potential machine learning (ML)...

How do manufacturing small and medium-sized enterprises perceive realize the potential of emerging technologies for innovation smart product-service systems? We address this question by conducting nine expert interviews with representatives in sector. apply qualitative content analysis to identify current practices, affordances, constraints adoption evolve offerings towards systems. Building on inductive empirical approach, we postulate three overarching affordances four that companies...

Ground-based staring hyperspectral chemical detectors allow for repeated measurements through time with near-perfect image registration. The problem standard spectral-based detection algorithms is that they do not make effective use of this temporal information. In paper, we develop new temporal-spectral algorithms, and show significant improvements in performance geometry are achieved by making statistical signal information obtained from previous samples. These have the advantage limit to...

Graphical models are used to describe the conditional independence relations in multivariate data. They have been for a variety of problems, including log-linear (Liu and Massam, 2006), network analysis (Holland Leinhardt, 1981; Strauss Ikeda, 1990; Wasserman Pattison, 1996; Pattison Wasserman, 1999; Robins et al., 1999), graphical Gaussian (Roverato Whittaker, 1998; Giudici Green, Marrelec Benali, genetics (Dobra 2004). A distribution that satisfies structure graph is Markov. model family...

In Kombination mit einem weiterhin steigenden Anteil regenerativ erzeugten Stroms am Strom-Mix in Deutschland kann der vermehrte Einsatz von Elektrofahrzeugen Zukunft einen signifikanten Beitrag zur Dekarbonisierung des Verkehrssektors leisten. Mit gesteuerten Ladevorgangen Elektrofahrzeuge konnen durch die Nutzung Lastverschiebepotentialen zum Spitzenlasten verringert und damit das Stromnetz entlastet werden, anderen flexiblen Ladevorgange auf schwankende Stromangebot regenerative...

Currents on remote metallic objects such as landmines can be induced by projecting strong magnetic fields. These currents result in electromagnetic fields that subsequently detected. The field varies slowly it passes from air into the ground and is sufficient to excite buried objects. Traditionally are produced using short-range transformer like inductive coupling, or a component of powerful propagating strength restricted regulatory limits total radiated radio frequency power. There need...

Smart physical products increasingly shape a connected world and serve as boundary objects for the formation of ‘smart service systems’. While these systems bear potential to co-create value between partners in various industries, IS research still struggles fully capture phenomenon support successful digital innovation IoT settings. In our work, we analyze smart taking an affordance-actualization perspective. Based on qualitative content analysis multi-case study, identify elements...

Typical metal detectors work at very low to frequencies. In this paper, a metal/anomaly detector design that operates in the high frequency range is presented. This uses high-Q tuned loop antenna for detection. By measuring return loss or voltage standing wave ratio notch can be detected. Tuning optimal location of accomplished by monitoring phase response. technique used ground balance detector. As object moved along longitudinal axis substantial shift For targets, positive, and ferrite...