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Drawing --- Boost, W.

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When we discuss accelerating top line growth and maximizing profitability, we often consider hiring more people or cutting expenses or raising prices. We don't always look at ways to better exploit what we already have. Instead of hiring new people, we need to improve the performance of our current employees. Instead of cutting costs, we need better invest the money we do spend. Instead of raising prices we need to identify our ideal customers and sell to them. This book will discuss strategies on how to do all of these things and more. It will give you 25 ways to accelerate revenue growth and increase profitability immediately, without making any new financial investments. That is the Unified Theory of Profitability. It means you look at your organization and find ways to better leverage what you already have. It means focusing on those strategies that can provide the best results. It means becoming an expert on executing on those strategies. You can do this. You just need to find the ideas that work for you and commit to implementing them.

Industrial management. --- Success in business. --- Corporate profits. --- accelerating growth --- accelerating revenue growth --- boost performance --- excellence --- maximizing profitability --- operational elegance --- operational excellence --- operations excellence --- performance --- profit margins --- profitability --- revenue growth --- top line growth

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An important, open research topic today is to understand the relevance that dark matter halo substructure may have for dark matter searches. In the standard cosmological model, halo substructure or subhalos are predicted to be largely abundant inside larger halos, for example, galaxies such as ours, and are thought to form first and later merge to form larger structures. Dwarf satellite galaxies—the most massive exponents of halo substructure in our own galaxy—are already known to be excellent targets for dark matter searches, and indeed, they are constantly scrutinized by current gamma-ray experiments in the search for dark matter signals. Lighter subhalos not massive enough to have a visible counterpart of stars and gas may be good targets as well, given their typical abundances and distances. In addition, the clumpy distribution of subhalos residing in larger halos may boost the dark matter signals considerably. In an era in which gamma-ray experiments possess, for the first time, the exciting potential to put to test the preferred dark matter particle theories, a profound knowledge of dark matter astrophysical targets and scenarios is mandatory should we aim for accurate predictions of dark matter-induced fluxes for investing significant telescope observing time on selected targets and for deriving robust conclusions from our dark matter search efforts. In this regard, a precise characterization of the statistical and structural properties of subhalos becomes critical. In this Special Issue, we aim to summarize where we stand today on our knowledge of the different aspects of the dark matter halo substructure; to identify what are the remaining big questions, and how we could address these; and, by doing so, to find new avenues for research.

gamma rays --- indirect searches. --- semi-analytic modeling --- cosmological model --- indirect dark matter searches --- particle dark matter --- indirect detection --- gamma-rays and neutrinos --- galactic subhalos --- indirect searches --- statistical data analysis --- subhalo boost --- dark matter halos --- halo substructure --- structure formation --- dark matter annihilation --- dark matter searches --- dwarf spheroidal satellite galaxies --- galactic sub-halos --- subhalos --- dwarf spheroidal galaxies --- gamma-rays --- cosmological N-body simulations --- dark matter

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This book is a printed edition of the Special Issue Advances in Intelligent Vehicle Control that was published in the journal Sensors. It presents a collection of eleven papers that covers a range of topics, such as the development of intelligent control algorithms for active safety systems, smart sensors, and intelligent and efficient driving. The contributions presented in these papers can serve as useful tools for researchers who are interested in new vehicle technology and in the improvement of vehicle control systems.

Technology: general issues --- History of engineering & technology --- nonlinear height control --- active air suspension --- output constraints --- random road excitation --- disturbance observer design --- electric vehicles --- in-vehicle network --- controller area network --- cybersecurity --- intrusion detection --- deep learning --- transfer learning --- model-based control --- vehicle dynamic potential --- tyre thermodynamics --- tyre wear --- weather influence --- vehicle safety --- double lane change --- safety optimization --- noninverting buck–boost converter --- high efficiency --- wide bandwidth control --- discrete-time sliding-mode current control (DSMCC) --- electric vehicle (EV) --- driver vehicle system --- energy management --- vehicle localization --- GNSS receivers --- RTK corrections --- sensor redundancy --- VMS --- machine learning --- ADAS --- image processing --- environment perception --- semantics --- 3D multiple object detection --- multiple object tracking --- dynamic SLAM --- roll angle estimator --- Kalman filter --- LQR controller --- inertial sensors --- motorcycle lean angle --- electrical vehicles --- EV charging scheduling --- binary linear programming --- binary quadratic programming --- vehicle control --- reinforcement learning --- curriculum learning --- sim-to-real world --- intelligent mobility --- heterogeneous vehicular communication --- Internet of connected vehicles --- vehicular ad hoc networks --- heterogeneous networking --- Internet of Things --- n/a --- noninverting buck-boost converter

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The most important environmental challenge today's society is facing is to reduce the effects of CO2 emissions and global warming. Such an ambitious challenge can only be achieved through a holistic approach, capable of tackling the problem from a multidisciplinary point of view. One of the core technologies called to play a critical role in this approach is the use of energy storage systems. These systems enable, among other things, the balancing of the stochastic behavior of Renewable Sources and Distributed Generation in modern Energy Systems; the efficient supply of industrial and consumer loads; the development of efficient and clean transport; and the development of Nearly-Zero Energy Buildings (nZEB) and intelligent cities. Hybrid Energy Storage Systems (HESS) consist of two (or more) storage devices with complementary key characteristics, that are able to behave jointly with better performance than any of the technologies considered individually. Recent developments in storage device technologies, interface systems, control and monitoring techniques, or visualization and information technologies have driven the implementation of HESS in many industrial, commercial and domestic applications. This Special Issue focuses on the analysis, design and implementation of hybrid energy storage systems across a broad spectrum, encompassing different storage technologies (including electrochemical, capacitive, mechanical or mechanical storage devices), engineering branches (power electronics and control strategies; energy engineering; energy engineering; chemistry; modelling, simulation and emulation techniques; data analysis and algorithms; social and economic analysis; intelligent and Internet-of-Things (IoT) systems; and so on.), applications (energy systems, renewable energy generation, industrial applications, transportation, Uninterruptible Power Supplies (UPS) and critical load supply, etc.) and evaluation and performance (size and weight benefits, efficiency and power loss, economic analysis, environmental costs, etc.).

high gain converters --- power systems modeling --- load flow analysis --- pumped storage --- shipboard power systems --- storage --- hybrid energy storage systems (HESSs) --- buck-boost converter --- state of charge --- active power control --- rail transportation power systems --- lithium-ion batteries --- microgrids --- energy storage --- microgrid --- power-line signaling --- battery energy storage system (BESS) --- power electronic converters --- single-phase --- load modeling --- ultracapacitors --- smart home (SH) --- fault ride-through capability --- renewable energy sources --- battery management system --- multiport --- photovoltaic --- fuel cell (FC) --- DC power systems --- hybrid --- energy storage system --- micro combined heat and power (micro-CHP) system --- power quality --- solar photovoltaic --- electric vehicle (EV) --- energy storage technologies --- hybrid storage systems --- real coded genetic algorithm (RCGA) --- storage operation and maintenance costs