Study of and design procedure for dual circularly polarized waveguide slot arrays

For the past sixty years, waveguide slot radiator arrays have played a critical role in microwave radar and communication systems. They feature a well-characterized antenna element capable of direct integration into a low-loss feed structure with highly developed and inexpensive manufacturing processes. Waveguide slot radiators comprise some of the highest performance—in terms of side-lobe-level, efficiency, etc. — antenna arrays ever constructed. A wealth of information is available in the open literature regarding design procedures for linearly polarized waveguide slots. By contrast, despite their presence in some of the earliest published reports, little has been presented to date on array designs for circularly polarized (CP) waveguide slots. Moreover, that which has been presented features a classic traveling wave, efficiency-reducing beam tilt. This work proposes a unique CP waveguide slot architecture which mitigates these problems and a thorough design procedure employing widely available, modern computational tools. The proposed array topology features simultaneous dual-CP operation with grating-lobe-free, broadside radiation, high aperture efficiency, and good return loss. A traditional X-Slot CP element is employed with the inclusion of a slow wave structure passive phase shifter to ensure broadside radiation without the need for performance-limiting dielectric loading. It is anticipated this technology will be advantageous for upcoming polarimetric radar and Ka-band SatCom systems. The presented design methodology represents a philosophical shift away from traditional waveguide slot radiator design practices. Rather than providing design curves and/or analytical expressions for equivalent circuit models, simple first-order design rules – generated via parametric studies — are presented with the understanding that device optimization and design will be carried out computationally. A unit-cell, S-parameter based approach provides a sufficient reduction of complexity to permit efficient, accurate device design with attention to realistic, application-specific mechanical tolerances. A transparent, start-to-finish example of the design procedure for a linear sub-array at X-Band is presented. Both unit cell and array performance is calculated via finite element method simulations. Results are confirmed via good agreement with finite difference, time domain calculations. Array performance exhibiting grating-lobe-free, broadside-scanned, dual-CP radiation with better than 20 dB return loss and over 75% aperture efficiency is presented.

Appraising and selecting conservation measures to mitigate desertification and land degradation based on stakeholder participation and global best practices

Most desertification research focuses on degradation assessments without putting sufficient emphasis on prevention and mitigation strategies, although the concept of Sustainable Land Management (SLM) is increasingly being acknowledged. A variety of already applied conservation measures exist at the local level, but they are not adequately recognised, evaluated and shared, either by land users, technicians, researchers, or policy makers. Likewise, collaboration between research and implementation is often insufficient. The aim of this paper is to present a new methodology for a participatory process of appraising and selecting desertification mitigation strategies, and to present first experiences from its application in the EU-funded DESIRE project. The methodology combines a collective learning and decision approach with the use of evaluated global best practices. In three parts, it moves through a concise process, starting with identifying land degradation and locally applied solutions in a stakeholder workshop, leading to assessing local solutions with a standardised evaluation tool, and ending with jointly selecting promising strategies for implementation with the help of a decision support tool. The methodology is currently being applied in 16 study sites. Preliminary analysis from the application of the first part of the methodology shows that the initial stakeholder workshop results in a good basis for stakeholder cooperation, and in promising land conservation practices for further assessment. Study site research teams appreciated the valuable results, as burning issues and promising options emerged from joint reflection. The methodology is suitable to initiate mutual learning among different stakeholder groups and to integrate local and scientific knowledge.

Rapid Manufacturing - auch mit SLM

Rapid Manufacturing (RM) wurde als Schlagwort in der letzten Zeit insbesondere aus dem Bereich des Selective Laser Sintering (SLS) bekannt. In dieser inzwischen über 15-jährigen Technologieentwicklung wurden in den vergangenen Jahren bedeutende Fortschritte erzielt, die die Bauteileigenschaften nahe an die Anforderungen für End-Teile heran brachten. So ist das RM denn auch weniger aus der Sicht grösserer Losgrösse zu verstehen. Viel mehr bedeutet Rapid Manufacturing, dass die Bauteile nach einer generativen Fertigung direkt im Endprodukt resp. der Endanwendung zum Einsatz kommt. Das Selective Laser Melting, mit welchem aus metallischen Pulvermaterialien direkt Metallteile in Standardmaterialien hergestellt werden können, ist aufgrund der guten Materialeigenschaften für RM prädestiniert. In den ersten Anwendungsfeldern des SLM–Verfahrens standen die Herstellung von Werkzeugeinsätzen mit konturnaher Kühlung (Conformal Cooling) im Vordergrund, wobei diese Werkzeuge unter dem Begriff RM verstanden werden müssen, da die Werkzeuge direkt für die Endanwendung - den Spritzgussprozess - verwendet werden. Aktuelle Trends gehen jedoch in Richtung der Fertigung von Funktionsteilen z.B. für den Maschinenbau. Obwohl sich in der Fertigung komplexer Funktionsteile noch Probleme, z.B. mit in Bezug auf die generative Baurichtung überhängender Bauteilstrukturen ergeben, zeigen sich trotzdem erhebliche Vorteile eines RM mittels SLM. Neben klaren Vorteilen durch das mögliche Customizing von Bauteilen können bei kleineren Bauteilgrössen auch erhebliche Kostenvorteile erzielt werden. Allerdings zeigen die Grenzen der aktuellen Möglichkeiten, in welchen Bereichen das SLM-Verfahren weiterer Entwicklung bedarf. Themen wie Produktivität, die Problematik der nach wie vor notwendigen Supportstrukturen wie auch Qualitätssicherung müssen in den nächsten Jahren angegangen werden, wenn dieses Verfahren den Schritt hin zu einem etablierten Produktionsverfahren und damit zu breiterer Akzeptanz und Anwendung finden soll

The mark of a good healer: Examining health care behaviors in the Vietnamese community

The purpose of this study was to conduct a descriptive, exploratory analysis of the utilization of both traditional healing methods and western biomedical approaches to health care among members of the Vietnamese community in Houston, Texas. The first goal of the study was to identify the type(s) of health care that the Vietnamese use. The second goal was to highlight the numerous factors that may influence why certain health care choices are made. The third goal of this study was to examine the issue of preference to determine which practices would be used if limiting factors did not exist. ^ There were 81 participants, consisting of males and females who were 18 years or older. The core groups of participants were Vietnamese students from the University of Houston-Downtown and volunteer staff members from VN TeamWork. Asking the students and staff members to recommend others for the study used the snowball method of recruiting additional participants. ^ Surveys and informed consents were in English and Vietnamese. The participants were given the choice to take the surveys face-to-face or on their own. Surveys consisted of structured questions with predetermined choices, as well as, open-ended questions to allow more detailed information. The quantitative and qualitative data were coded and entered into a database, using SPSS software version 15.0. ^ Results indicated that participants used both traditional (38.3%) and biomedical (59.3%) healing, with 44.4% stating that it depended on the illness as to treatment. Coining was the most used traditional healing method, clearly still used by all ages. Coining was also the method most used when issues regarding fear and delayed western medical treatment were involved. It was determined that insurance status, more than household income, guided health care choices. A person's age, number of years spent in the United States, age at migration, and the use of certain traditional healing methods like coining all played a role in the importance of the health care practitioner speaking Vietnamese. The most important finding was that 64.2% of the participants preferred both traditional and western medicine because both methods work. ^

A review of economic analysis in the vaccination program; decision making and governance: Adivisory Committee on Immunization Practices (ACIP)

The Advisory Committee on Immunization Practices (ACIP) develops written recommendations for the routine administration of vaccines to children and adults in the U.S. civilian population. The ACIP is the only entity in the federal government that makes such recommendations. ACIP elaborates on selection of its members and rules out concerns regarding its integrity, but fails to provide information about the importance of economic analysis in vaccine selection. ACIP recommendations can have large health and economic consequences. Emphasis on economic evaluation in health is a likely response to severe pressures of the federal and state health budget. This study describes the economic aspects considered by the ACIP while sanctioning a vaccine, and reviews the economic evaluations (our economic data) provided for vaccine deliberations. A five year study period from 2004 to 2009 is adopted. Publicly available data from ACIP web database is used. Drummond et al. (2005) checklist serves as a guide to assess the quality of economic evaluations presented. Drummond et al.'s checklist is a comprehensive hence it is unrealistic to expect every ACIP deliberation to meet all of their criteria. For practical purposes we have selected seven criteria that we judge to be significant criteria provided by Drummond et al. Twenty-four data points were obtained in a five year period. Our results show that out of the total twenty-four data point‘s (economic evaluations) only five data points received a score of six; that is six items on the list of seven were met. None of the data points received a perfect score of seven. Seven of the twenty-four data points received a score of five. A minimum of a two score was received by only one of the economic analyses. The type of economic evaluation along with the model criteria and ICER/QALY criteria met at 0.875 (87.5%). These three criteria were met at the highest rate among the seven criteria studied. Our study findings demonstrate that the perspective criteria met at 0.583 (58.3%) followed by source and sensitivity analysis criteria both tied at 0.541 (54.1%). The discount factor was met at 0.250 (25.0%).^ Economic analysis is not a novel concept to the ACIP. It has been practiced and presented at these meetings on a regular basis for more than five years. ACIP‘s stated goal is to utilize good quality epidemiologic, clinical and economic analyses to help policy makers choose among alternatives presented and thus achieve a better informed decision. As seen in our study the economic analyses over the years are inconsistent. The large variability coupled with lack of a standardized format may compromise the utility of the economic information for decision-making. While making recommendations, the ACIP takes into account all available information about a vaccine. Thus it is vital that standardized high quality economic information is provided at the ACIP meetings. Our study may provide a call for the ACIP to further investigate deficiencies within the system and thereby to improve economic evaluation data presented. ^

Is Group Lending A Good Enforcement Scheme for Achieving High Repayment Rates?: Evidence from Field Experiments in Vietnam

Microfinance institutions employ various kinds of incentive schemes but estimating the effect of each scheme is not easy due to endogeneity bias. We conducted field experiments in Vietnam to capture the role of joint liability, monitoring, cross-reporting, social sanctions, communication and group formation in borrowers’ repayment behavior. We find that joint liability contracts cause serious free-riding problems, inducing strategic default and lowering repayment rates. When group members observe each others’ investment returns, participants are more likely to choose strategic default. Even after introducing a cross-reporting system and/or penalties among borrowers, the default rates and the ratios of participants who chose strategic default under joint liability are still higher than those under individual lending. We also find that joint liability lending often failed to induce mutual insurance among borrowers. Those who had been helped or who had repaid a little in the previous round were more likely to default strategically and repay a little again in the current round and those who paid large amounts were always the same individuals.

Unlocking the Potential of Zambian Micro, Small and Medium Enterprises "Learning from the international best practices - the Southeast Asian Experience"

This paper examines the SMEs performance in Zambia and attempts to identify some practical lessons that Zambia can learn from Southeast Asian countries (with reference to Malaysia) in order to facilitate industrial development through unlocking the potential of its SMEs sector. Malaysia and Zambia were at the same level of economic development as evidenced by similar per capita incomes but Zambia has remained behind economically and its manufacturing sector has stagnated as if both countries did not have similar initial endowments. It therefore, becomes imperative that Zambia learns from such countries on how they managed to take-off economically with a focus on SME development. Training (education), research & development, market availability and technological advancement through establishment of industrial linkages coupled with cluster formation were some of the outstanding strategies identified that Zambia could use as a “key” to unlock its SMEs’ potential as it strives to meet the UN MDGs in particular halving its poverty levels by 2015 and also realizing its vision of becoming a middle income earner by 2030.

Legal Aspects which Implement Good Practice Measures in the Management of Construction and Demolition Waste

The construction industry, one of the most important ones in the development of a country, generates unavoidable impacts on the environment. The social demand towards greater respect for the environment is a high and general outcry. Therefore, the construction industry needs to reduce the impact it produces. Proper waste management is not enough; we must take a further step in environmental management, where new measures need to be introduced for the prevention at source, such as good practices to promote recycling. Following the amendment of the legal frame applicable to Construction and Demolition Waste (C&D waste), important developments have been incorporated in European and International laws, aiming to promote the culture of reusing and recycling. This change of mindset, that is progressively taking place in society, is allowing for the consideration of C&D waste no longer as an unusable waste, but as a reusable material. The main objective of the work presented in this paper is to enhance C&D waste management systems through the development of preventive measures during the construction process. These measures concern all the agents intervening in the construction process as only the personal implication of all of them can ensure an efficient management of the C&D waste generated. Finally, a model based on preventive measures achieves organizational cohesion between the different stages of the construction process, as well as promoting the conservation of raw materials through the use and waste minimization. All of these in order to achieve a C&D waste management system, whose primary goal is zero waste generation

Design, manufacturing and measurements of a metal-less V-groove RXI collimator

A metal-less RXI collimator has been designed. Unlike to the conventional RXI collimators, whose back surface and central part of the front surface have to be metalized, this collimator does not include any mirrored surface. The back surface is designed as a grooved surface providing two TIR reflections for all rays impinging on it. The main advantage of the presented design is lower manufacturing cost since there is no need for the expensive process of metalization. Also, unlike to the conventional RXI collimators this design performs good colour mixing. The first prototype of V-groove RXI collimator has been made of PMMA by direct cutting using a five axis diamond turning machine. The experimental measurements of the first prototype are presented.

Prototype emitter for use in subsurface drip irrigation: Manufacturing, hydraulic evaluation and experimental analyses

The current research aims to analyse theoretically and evaluate a self-manufactured simple design for subsurface drip irrigation (SDI) emitter to avoid root and soil intrusion. It was composed of three concentric cylindrical elements: an elastic silicone membrane; a polyethylene tube with two holes drilled on its wall for water discharge; and a vinyl polychloride protector system to wrap the other elements. The discharge of the emitter depends on the change in the membrane diameter when it is deformed by the water pressure. The study of the operation of this emitter is a new approach that considers mechanical and hydraulic principles. Thus, the estimation on the membrane deformation was based on classical mechanical stress theories in composite cylinders. The hydraulic principles considered the solid deformation due to force based on water pressure and the general Darcy–Weisbach head-loss equation. Twenty emitter units, with the selected design, were handcrafted in a lathe and were used in this study. The measured pressure/discharge relationship for the emitters showed good agreement with that calculated by the theoretical approach. The variation coefficient of the handcrafted emitters was high compared to commercial emitters. Results from field evaluations showed variable values for the relative flow variation, water emission uniformity and relative flow rate coefficients, but no emitter was obstructed. Therefore, the current emitter design could be suitable for SDI following further studies to develop a final prototype.

Slow fashion and sustainability in Spain: How can local manufacturing improve sustainability and how do consumers respond?

"Slow Fashion" attempts to offset the demand for fast fashion and mass production (Fletcher, 2007). Consumers' response to sustainability-based practices is a limited discourse and studies for slow fashion concept are scarce. This study thus aims to enlighten the subject of how slow fashion concept could improve local economies and how Spanish consumers respond to such initiatives. This paper is based on an exploratory qualitative research for which focus group interviews including three group discussions with Spanish consumers were held. The data was examined by constant comparison analysis to present consumer insights. Moreover, a case study was conducted with a Spanish apparel brand. Saint Brissant was chosen since it manufactures in Spain to (i) ensure its products? high quality and (ii) to empower Spanish economy. This paper provides empirical insights. Even though local manufacturing was perceived to have a higher quality, Spanish consumers? behavioural intentions of using local brands were not high.Self-interest, mainly price and design, was recorded as the most influential purchase criteria. Furthermore, Saint Brissant case demonstrated that local manufacturing could boost local economies by creating workforce. However, governmental subsidies should be rearranged and consumers? perceptions should be improved to support local manufacturers in Spain.

Utilizing the Internet of Things to promote energy awareness and efficiency at discrete production processes: Practices and methodology

El actual contexto de fabricación, con incrementos en los precios de la energía, una creciente preocupación medioambiental y cambios continuos en los comportamientos de los consumidores, fomenta que los responsables prioricen la fabricación respetuosa con el medioambiente. El paradigma del Internet de las Cosas (IoT) promete incrementar la visibilidad y la atención prestada al consumo de energía gracias tanto a sensores como a medidores inteligentes en los niveles de máquina y de línea de producción. En consecuencia es posible y sencillo obtener datos de consumo de energía en tiempo real proveniente de los procesos de fabricación, pero además es posible analizarlos para incrementar su importancia en la toma de decisiones. Esta tesis pretende investigar cómo utilizar la adopción del Internet de las Cosas en el nivel de planta de producción, en procesos discretos, para incrementar la capacidad de uso de la información proveniente tanto de la energía como de la eficiencia energética. Para alcanzar este objetivo general, la investigación se ha dividido en cuatro sub-objetivos y la misma se ha desarrollado a lo largo de cuatro fases principales (en adelante estudios). El primer estudio de esta tesis, que se apoya sobre una revisión bibliográfica comprehensiva y sobre las aportaciones de expertos, define prácticas de gestión de la producción que son energéticamente eficientes y que se apoyan de un modo preeminente en la tecnología IoT. Este primer estudio también detalla los beneficios esperables al adoptar estas prácticas de gestión. Además, propugna un marco de referencia para permitir la integración de los datos que sobre el consumo energético se obtienen en el marco de las plataformas y sistemas de información de la compañía. Esto se lleva a cabo con el objetivo último de remarcar cómo estos datos pueden ser utilizados para apalancar decisiones en los niveles de procesos tanto tácticos como operativos. Segundo, considerando los precios de la energía como variables en el mercado intradiario y la disponibilidad de información detallada sobre el estado de las máquinas desde el punto de vista de consumo energético, el segundo estudio propone un modelo matemático para minimizar los costes del consumo de energía para la programación de asignaciones de una única máquina que deba atender a varios procesos de producción. Este modelo permite la toma de decisiones en el nivel de máquina para determinar los instantes de lanzamiento de cada trabajo de producción, los tiempos muertos, cuándo la máquina debe ser puesta en un estado de apagada, el momento adecuado para rearrancar, y para pararse, etc. Así, este modelo habilita al responsable de producción de implementar el esquema de producción menos costoso para cada turno de producción. En el tercer estudio esta investigación proporciona una metodología para ayudar a los responsables a implementar IoT en el nivel de los sistemas productivos. Se incluye un análisis del estado en que se encuentran los sistemas de gestión de energía y de producción en la factoría, así como también se proporcionan recomendaciones sobre procedimientos para implementar IoT para capturar y analizar los datos de consumo. Esta metodología ha sido validada en un estudio piloto, donde algunos indicadores clave de rendimiento (KPIs) han sido empleados para determinar la eficiencia energética. En el cuarto estudio el objetivo es introducir una vía para obtener visibilidad y relevancia a diferentes niveles de la energía consumida en los procesos de producción. El método propuesto permite que las factorías con procesos de producción discretos puedan determinar la energía consumida, el CO2 emitido o el coste de la energía consumida ya sea en cualquiera de los niveles: operación, producto o la orden de fabricación completa, siempre considerando las diferentes fuentes de energía y las fluctuaciones en los precios de la misma. Los resultados muestran que decisiones y prácticas de gestión para conseguir sistemas de producción energéticamente eficientes son posibles en virtud del Internet de las Cosas. También, con los resultados de esta tesis los responsables de la gestión energética en las compañías pueden plantearse una aproximación a la utilización del IoT desde un punto de vista de la obtención de beneficios, abordando aquellas prácticas de gestión energética que se encuentran más próximas al nivel de madurez de la factoría, a sus objetivos, al tipo de producción que desarrolla, etc. Así mismo esta tesis muestra que es posible obtener reducciones significativas de coste simplemente evitando los períodos de pico diario en el precio de la misma. Además la tesis permite identificar cómo el nivel de monitorización del consumo energético (es decir al nivel de máquina), el intervalo temporal, y el nivel del análisis de los datos son factores determinantes a la hora de localizar oportunidades para mejorar la eficiencia energética. Adicionalmente, la integración de datos de consumo energético en tiempo real con datos de producción (cuando existen altos niveles de estandarización en los procesos productivos y sus datos) es esencial para permitir que las factorías detallen la energía efectivamente consumida, su coste y CO2 emitido durante la producción de un producto o componente. Esto permite obtener una valiosa información a los gestores en el nivel decisor de la factoría así como a los consumidores y reguladores. ABSTRACT In today‘s manufacturing scenario, rising energy prices, increasing ecological awareness, and changing consumer behaviors are driving decision makers to prioritize green manufacturing. The Internet of Things (IoT) paradigm promises to increase the visibility and awareness of energy consumption, thanks to smart sensors and smart meters at the machine and production line level. Consequently, real-time energy consumption data from the manufacturing processes can be easily collected and then analyzed, to improve energy-aware decision-making. This thesis aims to investigate how to utilize the adoption of the Internet of Things at shop floor level to increase energy–awareness and the energy efficiency of discrete production processes. In order to achieve the main research goal, the research is divided into four sub-objectives, and is accomplished during four main phases (i.e., studies). In the first study, by relying on a comprehensive literature review and on experts‘ insights, the thesis defines energy-efficient production management practices that are enhanced and enabled by IoT technology. The first study also explains the benefits that can be obtained by adopting such management practices. Furthermore, it presents a framework to support the integration of gathered energy data into a company‘s information technology tools and platforms, which is done with the ultimate goal of highlighting how operational and tactical decision-making processes could leverage such data in order to improve energy efficiency. Considering the variable energy prices in one day, along with the availability of detailed machine status energy data, the second study proposes a mathematical model to minimize energy consumption costs for single machine production scheduling during production processes. This model works by making decisions at the machine level to determine the launch times for job processing, idle time, when the machine must be shut down, ―turning on‖ time, and ―turning off‖ time. This model enables the operations manager to implement the least expensive production schedule during a production shift. In the third study, the research provides a methodology to help managers implement the IoT at the production system level; it includes an analysis of current energy management and production systems at the factory, and recommends procedures for implementing the IoT to collect and analyze energy data. The methodology has been validated by a pilot study, where energy KPIs have been used to evaluate energy efficiency. In the fourth study, the goal is to introduce a way to achieve multi-level awareness of the energy consumed during production processes. The proposed method enables discrete factories to specify energy consumption, CO2 emissions, and the cost of the energy consumed at operation, production and order levels, while considering energy sources and fluctuations in energy prices. The results show that energy-efficient production management practices and decisions can be enhanced and enabled by the IoT. With the outcomes of the thesis, energy managers can approach the IoT adoption in a benefit-driven way, by addressing energy management practices that are close to the maturity level of the factory, target, production type, etc. The thesis also shows that significant reductions in energy costs can be achieved by avoiding high-energy price periods in a day. Furthermore, the thesis determines the level of monitoring energy consumption (i.e., machine level), the interval time, and the level of energy data analysis, which are all important factors involved in finding opportunities to improve energy efficiency. Eventually, integrating real-time energy data with production data (when there are high levels of production process standardization data) is essential to enable factories to specify the amount and cost of energy consumed, as well as the CO2 emitted while producing a product, providing valuable information to decision makers at the factory level as well as to consumers and regulators.

Sustainable materials: The business case for green chemistry design practices

Product manufacturers face increasing environmental and human health regulations with certain regulations targeting specific chemicals of concern that must be removed from the supply chain. This study examines a green chemistry approach to choosing between flame retardant alternatives in electronic products during the design phase of product development. An aggregated score based on five criteria was generated for each flame retardant. To address subjectivity and cognitive bias concerns probabilistic sensitivity analysis was applied to the weighting factors used to generate the scores to examine the reliability of the results. The highest scoring flame retardants based on the comprehensive green chemistry approach were different from the flame retardants chosen using cost as the primary selection criteria.

Looking inside for good practice in Deaf bilingual education: a participatory SWOT analysis

Presentation to the Disability Studies Conference, Lancaster University, September 7-9, 2010.

The Art of Enduring Contradictory Goals: Challenges in the Institutional Co‐construction of a ‘Good Death’

This paper focuses on the normative notion of ‘good death’, its practical relevance as a frame of reference for ‘death work’ procedures in institutional elder care in Switzerland and the ways in which it may be challenged within migrant ‘dying trajectories’. In contemporary palliative care, the concept of ‘good death’ focuses on the ideal of an autonomous dying person, cared for under a specialised biomedical authority. Transferred to the nursing home context, characterised by long-term basic care for the very old under conditions of scarce resources, the notion of ‘good death’ is broken down into ready-to-use, pragmatic elements of daily routines. At the same time, nursing homes are increasingly confronted with socially and culturally diversified populations. Based on ethnographic findings, we give insight into current practices of institutional ‘death work’ and tensions arising between contradicting notions of a ‘good death’, by referring to decision-making, life-prolonging measures, notions on food/feeding and the administration of sedative painkillers.