Energy efficiency is of steadily growing importance in virtually all areas from mobile to high performance computing. Therefore, lots of research projects focus on this topic and strongly rely on power measurements from their test platforms. The need for finer grained measurement data-both in terms of temporal and spatial resolution (component breakdown)-often collides with very rudimentary measurement setups that rely e.g., on non-professional power meters, IMPI based platform data or model-based interfaces such as RAPL or APM. This paper presents an in-depth study of several different AC and DC measurement methodologies as well as model approaches on test systems with the latest processor generations from both Intel and AMD. We analyze most important aspects such as signal quality, time resolution, accuracy, and measurement overhead and use a calibrated, professional power analyzer as our reference.
Historically, healthcare has been mainly provided in a reactive manner that limits its usefulness. With progress in sensor technologies, the instrumentation of the world has offered unique opportunities to better observe patients physiological signals in order to provide healthcare in a more proactive manner. To reach this goal, it is essential to be able to analyze patient data and turn it into actionable information using data mining. This chapter surveys existing applications of sensor data mining technologies in healthcare. It starts with a description of healthcare data mining challenges before presenting an overview of applications of data mining in both clinical and non clinical settings.
PurposeThe study analyses how Industry 4.0 and underlying digital technologies influence the design of ecosystems in global value chains (GVCs).Design/methodology/approachA qualitative-exploratory research design is used. It deploys a multiple case study based on semi-structured interviews with 73 German managers of multinational enterprises. Applying a qualitative content analysis, the expert interviews are inductively analyzed and triangulated with secondary data to develop a synthesized data structure.FindingsThe analysis reveals a general tendency towards decentralization of value chain activities. Depending on the nature of each activity and several contextual factors, however, hybrids between centralization and decentralization of processes can be observed in Industry 4.0 environments. Consequences for global ecosystems are altered cooperation with business partners, new organizational forms and novel market environments.Research limitations/implicationsGiven inherent limitations in scope and methodology, the study calls for cross-industry and cross-country analyses. Further studies should research implications of Industry 4.0 changes in ecosystems and GVCs, and the role digital platforms can play in this context.Practical implicationsThe results help companies to analyze and adapt their role in ecosystems and associated GVC activities to Industry 4.0 environments, thus staying competitive in changing market conditions.Originality/valueThis study is among the first to empirically investigate the influence of Industry 4.0 on ecosystems embedded in GVCs. Reflecting existing company environments, it adds an international and company-external perspective to Industry 4.0 research.
For a feasible and cost-effective impedance measurement of cellular alterations in real-time, we combined commercially available microelectrode arrays (MEAs), consisting of 60 microelectrodes, with a conventional impedance analyzer. For proof of principle, a breast carcinoma cell line (MCF-7) was cultured on MEAs, and cellular alterations were measured by impedance spectroscopy at a frequency ranging from 10 Hz to 1 MHz. Cells were stimulated with phorbol 12-myristate 13-acetate (PMA) at different concentrations to activate protein kinase C (PKC)-mediated extra- and intracellular changes. By addition of 0.03 microM PMA, an increase of the relative impedance (Z(rel)) was observed after 10 min with a maximum at 1 kHz. Moreover a gradual elevation of the impedance was measured 60 min after stimulation with PMA. If 0.3 microM PMA was applied, the maximal amplitude of the relative impedance after 60 min shifted from 1 kHz (0.03 microM PMA) to 150 Hz. Subsequently, the impedance was further increased up to 90 min after PMA application, after which the impedance reduced after 240 min. Since we could use MEAs for at least 10 times without affecting the sensitivity, our study revealed that commercially available MEAs comprising nanocolumnar titanium nitrite electrodes are suitable microstructures for a highly reproducible and cost-effective multisite measurement of intracellular processes by impedance spectroscopy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.