Not a MyNAP member yet? Register for a free account to start saving and receiving special member only perks. State and municipal governments and nongovernmental entities provide a broad range of social services designed to prevent or treat family violence. These services include counseling and advocacy for victims of abuse; family and caregiver support programs; alternative living arrangements, including out-of-home placement for children, protective guardianship for abused elders, and shelters for battered women; educational programs for those at risk of abusing or being abused; intensive service programs to maintain families at risk of losing their child; and individual service programs in both family and placement settings.
Social service interventions may consist of casework as well as therapeutic services designed to provide parenting education, child and family counseling, and family support. Social service interventions also may include concrete services such as income support or material aid, institutional placement, mental health services, in-home health services, supervision, education, transportation, housing, medical services, legal services, in-home assistance, socialization, nutrition, and child and respite care.
The scope and intensity of casework, therapeutic services, and concrete assistance to children and adults in family violence interventions are often not well documented, and they may vary within and between intervention programs.
As a result, similar interventions such as parenting practice and family support services may offer very different kinds of services depending on the resources available in the community and the extent to which the clients can gain access to available services.
Some social service interventions such as child protective services are directly administered by state agencies; some services such as parenting education and family support programs are funded by government agencies but are. All of these interventions are designed to address the social support and safety needs of individuals and families, but they often have different focal points in meeting the needs of their clients.
Their goals include the protection of children and vulnerable adults; the enhancement of parents' ability to support and care for their children; the preservation of families; and the development of resources and networks to enhance family functioning, the safety of women, and the care of children and the elderly. Although treatment and prevention interventions for child maltreatment, domestic violence, and elder abuse have drawn on a series of theoretical frameworks over the past three decades, the connections between interventions and research are often uncertain and ambiguous.
Their development has involved trial-and-error experiments in which ideas gain prominence for a short time, only to fade when disappointing results are documented Wolf, The interventions have focused on different levels—the individual, the family, the neighborhood, and the social culture—each providing a different set of outcomes of interest, complicating the tasks of designing interventions and evaluating their effects.
In addition to shifts in theoretical frameworks and relevant outcomes, evaluations of social service interventions have been complicated by two other significant factors: 1 variations in programs that are viewed as a single intervention and 2 differences in the population of children or adults who receive the social services. Conflicting results in evaluation research studies thus may reflect these program differences such as the intensity or scope of services or the training of service personnel or variations in the personal histories or types of problems experienced by the clients served.
This chapter reviews social service interventions and the available evaluations of them, using the selection criteria discussed in Chapter 1first for child maltreatment, then for domestic violence, and finally for elder abuse. Although this discussion of social service approaches to addressing family violence identifies specific interventions, these are far from distinct strategies. There is substantial overlap in the specific services provided by each intervention—which raises the critical cross-cutting question of which elements in this set of interventions are most effective in preventing and treating family violence.
Nevertheless, the specific interventions discussed in this chapter have been identified by the field, and the evaluation literature has evolved from these services as they are identified. For this reason, the committee has retained these somewhat arbitrary distinctions.
Although the interventions are described in discrete categories, the individual interventions are part of a continuum of services available to victims and their families. The interventions discussed in one section may therefore be relevant in other sections of the chapter and to interventions discussed in the chapters on legal and health care interventions. Research points to the interaction of multiple factors in the maltreatment of children; the interaction of these factors has been described in a variety of theoretical models that have evolved over the past decade National Research Council, a,b.In his essay collection Small Is Beautifuleconomist E.
It is therefore necessary to insist on the virtues of smallness—where this applies. Explore the Future of mobility collection. Visit the Automotive collection. Subscribe to receive related content. Electric scooters, docked and dockless shared bikes, and other vehicle types are shrinking the physical footprint needed to move people over relatively short distances.
Collectively dubbed micromobilitythese services have clearly resonated with consumers, as evinced by their rapid adoption over just the last several months. Yet like any new entrants into a well-established system, many of these services have faced resistance, backlash, and growing pains, as seen most visibly in the sometimes-rocky relationship between city governments and e-scooter providers.
And we suggest practices for micromobility providers and government agencies eager to find a productive path forward. Multiple criteria can be applied to define micromobility: weight less than kg4 passenger or payload capacity, powertrain human-powered or electricmaximum speeds or ranges, and others.
Possibly the most fruitful way to think about what micromobility is and can be is in relation to existing infrastructure: Micromobility constitutes forms of transport that can occupy space alongside bicycles. That can mean dedicated bike lanes, along with roadside areas that are the de facto or de jure areas where bicyclists travel. It is unsuitable for sidewalks, which are the domain of pedestrians and certain very-low-speed vehicles. And it is unsuitable for vehicle-occupied roads dominated by cars and trucks capable of highway speeds.
Predictably, some have used micromobility modes in both of these spaces, resulting in conflicts with other users.
In short, micromobility leverages bike space in ways that were not originally intended, and it is within this slice of public infrastructure that we expect much of the innovation in the industry to occur. Practically, in most markets today, micromobility means shared scooters and bikes both human-powered and those with electric motors, docked and dockless. That said, our conversations with industry leaders have made it clear that we are only scratching the surface with what is possible in terms of vehicle shape, size, and capability; we expect to see a variety of new designs emerging in the near future that stretch the definition of what might be considered micromobility.
Micromobility vehicles have a long history, going back at least two centuries from the invention of the bicycle through to the Razor kick scooter of the s and, more recently, a variety of personally owned vehicles powered by small electric motors, ranging from hoverboards to scooters to skateboards, all with between one and four wheels.
But it is only in the last few years that these modes have emerged as a true potential solution for urban mobility, enabled by advances in GPS tracking, connectivity, mobile payments, battery cost and longevity, and the growing ubiquity of smartphones.
Electric scooter services, in particular, have stormed from city to city since their commercial launches less than two years ago. Adoption rates during their short time on the market have been impressive, surpassing that seen by popular ride-hailing applications during their early days.
The industry is clearly in its infancy and is, unsurprisingly, experiencing growing pains. Vandalism and theft are persistent issues. Retrieving, charging, and balancing the fleet each night can be a costly and labor-intensive exercise. Some providers are opting to simply flood the market with vehicles rather than bear the full cost associated with constantly redistributing assets to make sure a scooter or bike is nearby when a rider wants one.
Ensuring user compliance with company- and government-mandated policies—from helmet use to parking—is fraught, with providers experimenting with a range of measures ranging from the punitive additional fees to the pedagogic mandatory educational exercises and materials and behavioral nudges. The vehicles themselves, which still largely resemble scooters designed for personal recreational use, often struggle to meet the demands of commercial use, and the form factor itself limits the pool of potential users—people with certain disabilities, for example, could find a conventional scooter configuration difficult if not impossible to use.
As cities face rapid population growth, the need to move more residents through existing transportation networks is becoming ever more pressing.Quanser systems offer a highly efficient platform for bridging the gap between advanced theoretical and algorithm framework and real-world implementation.
Browse our growing collection of research papers that demonstrate how Quanser systems help researchers around the globe to validate their concepts. This reduces the required derivative data for the system identification.
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Furthermore, we make use of the concepts of K-fold cross validation from machine learning and information criteria for model selection. This allows the system identification with less measurements than the typically required data for the sparse regression.
The result is an optimal model for the underlining system of the data with a minimum number of terms. The proposed nonparametric system identification method is applicable for multiple-input—multiple-output systems. Two examples are presented to demonstrate the proposed method. The first one makes use of the simulated data of a nonlinear oscillator to show the effectiveness and accuracy of the proposed method. The second example is a nonlinear rotary flexible beam. Experimental responses of the beam are used to identify the underlining model.
The Coulomb friction in the servo motor together with other nonlinear terms of the system variables are found to be important components of the model.
These are, otherwise, not available in the theoretical linear model of the system. This article proposes a nonparametric system identification technique to discover the governing equation of nonlinear dynamic systems with the focus on practical aspects.
Tee, K. In this paper, we propose a theoretical framework for both planning and execution of robot-surface contact tasks whereby interaction with a human operator can be accommodated to a variable degree. The starting point is the geometry of surface, which we assume known and available in a discretized format, e.
To allow for realtime computation, rather than interacting with thousands of vertices, the robot only interacts with a single proxy, i. The proxy and an impedance-controlled robot are then connected through tuneable and possibly viscoelastic coupling, i.
On the one hand, the proxy slides along discrete geodesics of the surface in response to both viscoelastic coupling with the robot and to a possible external force a virtual force which can be used to induce autonomous behaviours.
On the other hand, the robot is free to move in 3D in reaction to the same viscoelastic coupling as well as to a possible external force, which includes an actual force exerted by a human operator. We believe that our proposed framework might lead to a more intuitive interfacing to robot programming, as opposed to standard coding. To this end, we also present numerical and experimental studies demonstrating path planning as well as autonomous and collaborative interaction for contact tasks with a free-form surface.
Despite the advancements in machine learning and artificial intelligence, there are many tooling tasks with cognitive aspects that are rather challenging for robots to handle in full autonomy, thus still requiring a certain degree of interaction with a human operator. Considering the actuator saturation problem in the controller design process, two control approaches are mainly investigated. Based on Lyapunov stability theory, sufficient conditions in terms of linear matrix inequalities LMI are given.
Payload variation and wind disturbance are all considered in the experimental test. And the results demonstrate the effectiveness as well as different performance of proposed robust attitude controllers.
This paper presents a comparative research of robust attitude control for helicopter system. Quadcopter is extremely unique and interesting, however it is inherently unsteady from streamlined features perspective and aerodynamics point of view. In recent past scientists have proposed many control schemes for the stability of quadcopter, but Artificial Neural Network ANN systems provide us with the fusion of human intelligence, logic and reasoning.
The research focuses on the use of ANN for the control plant systems whose plant dynamics are expensive to model, inaccurate or change with time and environment. The Quadcopter is an Unmanned Aerial Vehicle UAV which has turned out to be exceptionally mainstream among specialists in the recent past due to the advantages it offers over conventional helicopters.
The goal of such a pantograph type robot is to manipulate the X—Y positions of a 4—bar linkage end effector using two rotary servo base units connected to two revolute joints.
Three unactuated revolute joints complete the five links of the robot. Experimental results demonstrate that the LQR predictive controller performs better than the LQR controller, because the former controller is able to diminish the steady—state error between the Cartesian coordinates with respect to the desired coordinates. This paper describes a novel stereo vision sensor based on deep neural networks, that can be used to produce a feedback signal for visual servoing in unmanned aerial vehicles such as drones.
Two deep convolutional neural networks attached to the stereo camera in the drone are trained to detect wind turbines in images and stereo triangulation is used to calculate the distance from a wind turbine to the drone.Not all courses are offered each year.
In these programs, a one-term course consists of one three-hour period per week for thirteen weeks, or equivalent. All 4-credit courses include a project chosen in consultation with the course instructor, requiring a written report.
The final examination in the one-term course will be written after the thirteenth week, or during an examination period specified for each term.
A course given in the summer term will, in general, consist of two three-hour periods per week for six and one-half weeks, or equivalent. For additional information concerning course descriptions and schedules, contact the appropriate department or the Office of the Associate Dean.
See note regarding the permitted number of credits from topic area E72 under the degree requirements section for each program. The courses are listed below, grouped under appropriate topic areas. The content of some graduate courses is equivalent to that of specified undergraduate courses. Students who lack the mathematics and systems background for graduate programs in engineering may be required to take the course in this section.
This course cannot be taken for credit towards the requirements of a graduate degree. Students may re-register for these courses, providing that the course content has changed. Changes in content will be indicated by the letter following the course number, e.
The report, including an abstract, must be suitably documented and illustrated, should be at least words in length, must be type-written on one side of Structural efficiency and economy: rigid frames, shear walls, framed tube, latticed structures; membrane, air and cable supported structures. Selection and preliminary design of building structural systems, materials and components.
Case studies. A case study or a project is required. Computer systems for energy management, including scheduling and operation of HVAC systems and lighting.
Applications for intelligent buildings. Use of simulation and knowledge-based software for automatic regulation of building operation.GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Work fast with our official CLI. Learn more. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again.
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Skip to content. Papers with code. Sorted by stars. Updated weekly. Dismiss Join GitHub today GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Sign up. Go back.Prereq: None U Fall, Spring; first half of term units.
Introduction to computer science and programming for students with little or no programming experience. Students develop skills to program and use computational techniques to solve problems. Topics include the notion of computation, Python, simple algorithms and data structures, testing and debugging, and algorithmic complexity.
Combination of 6. Final given in the seventh week of the term. Prereq: 6. Provides an introduction to using computation to understand real-world phenomena. Topics include plotting, stochastic programs, probability and statistics, random walks, Monte Carlo simulations, modeling data, optimization problems, and clustering. Covers subject matter not offered in the regular curriculum.Some Applications of Complex Network Methods in Urban Transportation Networks
Consult department to learn of offerings for a particular term. Bell, W. Grimson, J. Fundamentals of linear systems and abstraction modeling through lumped electronic circuits. Linear networks involving independent and dependent sources, resistors, capacitors and inductors. Extensions to include nonlinear resistors, switches, transistors, operational amplifiers and transducers. Dynamics of first- and second-order networks; design in the time and frequency domains; signal and energy processing applications.
Design exercises. Weekly laboratory with microcontroller and transducers. Lang, T. Palacios, D. Perreault, J. Fundamentals of signal processing, focusing on the use of Fourier methods to analyze and process signals such as sounds and images.
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Topics include Fourier series, Fourier transforms, the Discrete Fourier Transform, sampling, convolution, deconvolution, filtering, noise reduction, and compression. Applications draw broadly from areas of contemporary interest with emphasis on both analysis and design. Provides an introduction to the design of digital systems and computer architecture. Emphasizes expressing all hardware designs in a high-level hardware language and synthesizing the designs.
Arvind, S. Hanono Wachman, D. Introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. Emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.Once production of your article has started, you can track the status of your article via Track Your Accepted Article. While the cost-competitiveness of solar and wind energy continues to improve, renewable energy consumption remains constrained by the lack of necessary policies, technologies, and infrastructure to manage intermittent generation from renewable energy sources.
The intermittency caused by renewable energy sources makes balancing the energy system problematic and could impose a significant burden on power systems or even lead to more serious problems. Energy infrastructure such as energy storage technologies, smart grid, power-to-gas and other advanced technologies and applications could support stable, reliable, and sustainable renewable energy.
However, investments in energy infrastructure require policies that address technological, financial, market, and regulatory risks. Jointly launched by the Asian Development Bank Institute and UNiLAB on Integrated Systems Analysis Tools, this special issue will feature state-of-the-art in energy infrastructure development encompasses economics, technology, policy and governance, and many other aspects. The economic aspect of energy infrastructure development can be further divided into several thematic areas such as investments, business models, market designs, financing and cost-benefit analysis.
Papers included in the Special Issue will help policy makers to design policies to facilitate integrating renewable energy and promoting investments in renewable energy.
The targeted audience includes both academic researchers and industrial practitioners. The purpose of the Special Issue is to provide a platform to enhance interdisciplinary research and share the most recent ideas in the above-related fields. Over the last few years, there has been extensive growth in small-scale distributed energy resources DERwhich encompass behind-the-meter generation, energy storage, inverters, electric vehicles, and controllable loads at the household level.
These small-scale resources can be utilized not only to manage the energy demand more efficiently but also to enable a significant mix of clean energy into the grid. However, to do so, it is important for the owners of these assets to actively participate in the energy market. As a consequence, peer-to-peer trading has emerged as a next-generation energy management technique for the smart grid that can enable the owners of small scale DERs - also known as prosumers - to actively participate in the energy market.
With the prosumers in control of setting the terms of transactions and the delivery of goods and services, it is expected that the gain that the prosumers can reap from participating in peer-to-peer trading would be substantial.
At the same time, the grid — consisting of generators, retailers, and distribution network system providers — can also obtain a significant benefit in terms of reducing peak demand, lowering investment and operational costs, minimizing reserve requirements, and improving power system reliability.
It is expected that the manuscripts submitted to the SI will cover the main themes of the conference. Therefore, the focus is Biochar and the topics will include. The recommended papers should be widely geographically distributed. Confronted with the severe pandemic caused by COVID, diverse industries have been compelled to respond with drastic measures so as to ensure continuity of supply of essential goods and services.
Likewise, societies the world over have been forced to adapt often under strict constraints in order to break the chain of deadly infections. With widespread global-scale lockdowns, productivity and stable supply of the energy industry are challenged not only during the special period but also critically for global and national response and recovery. Efforts and remedies implemented during this time are of significance since they help to inform policy and government actions and provide recommendations for enterprises to make optimal decisions to avoid risks In addition, the range of technical and policy actions serve as practical guides for the unexpected crises in the future.
The issue will also be a repository of the contributions of energy science, technology and policy in the mitigation of the pandemic crisis.