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Jennifer Mangold

Other affiliations: University of California
Bio: Jennifer Mangold is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Sustainability & Genetic algorithm. The author has an hindex of 4, co-authored 10 publications receiving 325 citations. Previous affiliations of Jennifer Mangold include University of California.

Papers
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Proceedings ArticleDOI
21 May 2007
TL;DR: The goal of the work is to focus on health-related applications of wireless sensor networks and how current (and future) technologies will enable automated home health monitoring.
Abstract: Sophisticated electronics are within reach of average users. Cooperation between wireless sensor networks and existing consumer electronic infrastructures can assist in the areas of health care and patient monitoring. This will improve the quality of life of patients, provide early detection for certain ailments, and improve doctor-patient efficiency. The goal of our work is to focus on health-related applications of wireless sensor networks. In this paper we detail our experiences building several prototypes and discuss the driving force behind home health monitoring and how current (and future) technologies will enable automated home health monitoring.

200 citations

Journal ArticleDOI
TL;DR: In this article, the effects of manufacturing on social performance are framed for different stakeholder groups with associated social needs, and efforts to integrate social and another dimension of sustainability are considered, with attention to globalization challenges including offshoring and reshoring.

114 citations

01 Jan 2013
TL;DR: Mangold et al. as mentioned in this paper used the engineering design process as a problem solving and learning tool in K-12 classrooms, focusing on sustainability in design, manufacturing, and the end-of-life phases of the product life cycle.
Abstract: Paper ID #7971 The engineering design process as a problem solving and learning tool in K- 12 classrooms Jennifer Mangold, University of California, Berkeley Ph.D. candidate at UC-Berkeley, Mangold studies in the mechanical engineering department. Her work focuses on sustainability in design, manufacturing, and the end-of-life phases of the product life cycle. She has been working with K-12 students over ten years and has been bringing engineering into K-12 classrooms for five years. Stefanie Robinson, University of California, Berkeley Stefanie Robinson is a Ph.D. candidate in the Mechanical Engineering department at the University of California, Berkeley. Her research interests are sustainable design and manufacturing, and engineering education and K-12 outreach. c American Society for Engineering Education, 2013

22 citations

Book ChapterDOI
01 Jan 2008
TL;DR: This work focuses on CBR, a knowledge-based algorithm, and MOGA to examine how biological analogs that exist between the authors' evolutionary system and nature can be leveraged to produce new promising MEMS designs.
Abstract: Multi-objective Genetic Algorithms (MOGA) and Case-based Reasoning (CBR) have proven successful in the design of MEMS (Micro-electro-mechanical Systems) suspension systems. This work focuses on CBR, a knowledge-based algorithm, and MOGA to examine how biological analogs that exist between our evolutionary system and nature can be leveraged to produce new promising MEMS designs. Object-oriented data structures of primitive and complex genetic algorithm (GA) elements, using a component-based genotype representation, have been developed to restrict genetic operations to produce feasible design combinations as required by physical limitations or practical constraints. Through the utilization of this data structure, virtual linkage between genes and chromosomes are coded into the properties of pre-defined GA objects. The design challenge involves selecting the right primitive elements, associated data structures, and linkage information that promise to produce the best gene pool for new functional requirements. Our MEMS synthesis framework, with the integration of MOGA and CBR algorithms, deals with the linkage problem by integrating a component-based genotype representation with a CBR automated knowledge-base inspired by biomimetic ontology. Biomimetics is proposed as a means to examine and classify functional requirements so that case-based reasoning algorithms can be used to map design requirements to promising initial conceptual designs and appropriate GA primitives. CBR provides MOGA with good linkage information through past MEMS design cases while MOGA inherits that linkage information through our component-bsased genotype representation. A MEMS resonator test case is used to demonstrate this methodology.

4 citations

Journal ArticleDOI
TL;DR: In this paper, an assessment framework was developed to evaluate and characterize material recovery facilities within the U.S. that process e-waste, which consists of five key categories including, facility overview, operating model and process flows, product flows, collection methods and facility resource use.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: This survey presents a comprehensive review of the recent literature since the publication of a survey on sensor networks, and gives an overview of several new applications and then reviews the literature on various aspects of WSNs.

5,626 citations

Journal ArticleDOI
TL;DR: This paper provides several state of the art examples together with the design considerations like unobtrusiveness, scalability, energy efficiency, security and also provides a comprehensive analysis of the benefits and challenges of these systems.

1,331 citations

Journal ArticleDOI
TL;DR: This paper provides a detailed investigation of sensor devices, physical layer, data link layer, and radio technology aspects of BAN research, and presents a taxonomy of B Ban projects that have been introduced/proposed to date.
Abstract: Advances in wireless communication technologies, such as wearable and implantable biosensors, along with recent developments in the embedded computing area are enabling the design, development, and implementation of body area networks. This class of networks is paving the way for the deployment of innovative healthcare monitoring applications. In the past few years, much of the research in the area of body area networks has focused on issues related to wireless sensor designs, sensor miniaturization, low-power sensor circuitry, signal processing, and communications protocols. In this paper, we present an overview of body area networks, and a discussion of BAN communications types and their related issues. We provide a detailed investigation of sensor devices, physical layer, data link layer, and radio technology aspects of BAN research. We also present a taxonomy of BAN projects that have been introduced/proposed to date. Finally, we highlight some of the design challenges and open issues that still need to be addressed to make BANs truly ubiquitous for a wide range of applications.

1,239 citations

Journal ArticleDOI
26 May 2011-Sensors
TL;DR: The important role of body sensor networks in medicine to minimize the need for caregivers and help the chronically ill and elderly people live an independent life, besides providing people with quality care is explained.
Abstract: Wireless sensor network (WSN) technologies are considered one of the key research areas in computer science and the healthcare application industries for improving the quality of life. The purpose of this paper is to provide a snapshot of current developments and future direction of research on wearable and implantable body area network systems for continuous monitoring of patients. This paper explains the important role of body sensor networks in medicine to minimize the need for caregivers and help the chronically ill and elderly people live an independent life, besides providing people with quality care. The paper provides several examples of state of the art technology together with the design considerations like unobtrusiveness, scalability, energy efficiency, security and also provides a comprehensive analysis of the various benefits and drawbacks of these systems. Although offering significant benefits, the field of wearable and implantable body sensor networks still faces major challenges and open research problems which are investigated and covered, along with some proposed solutions, in this paper.

461 citations

Proceedings ArticleDOI
26 Oct 2011
TL;DR: This investigation takes the move by decomposing the storyline of a day in Robert's life, the authors' unlucky character in the not so far future, into simple processes and their interactions, and devise the main communication requirements for those processes and for their integration in the Internet as web services.
Abstract: This paper proposes the Internet of Things communication framework as the main enabler for distributed worldwide health care applications. Starting from the recent availability of wireless medical sensor prototypes and the growing diffusion of electronic health care record databases, we analyze the requirements of a unified communication framework. Our investigation takes the move by decomposing the storyline of a day in Robert's life, our unlucky character in the not so far future, into simple processes and their interactions. Subsequently, we devise the main communication requirements for those processes and for their integration in the Internet as web services. Finally, we present the Internet of Things protocol stack and the advantages it brings to health care scenarios in terms of the identified requirements.

251 citations