Discrete-Rate Adaptation and Selection in Energy Harvesting Wireless Systems

In a system with energy harvesting (EH) nodes, the design focus shifts from minimizing energy consumption by infrequently transmitting less information to making the best use of available energy to efficiently deliver data while adhering to the fundamental energy neutrality constraint. We address the problem of maximizing the throughput of a system consisting of rate-adaptive EH nodes that transmit to a destination. Unlike related literature, we focus on the practically important discrete-rate adaptation model. First, for a single EH node, we propose a discrete-rate adaptation rule and prove its optimality for a general class of stationary and ergodic EH and fading processes. We then study a general system with multiple EH nodes in which one is opportunistically selected to transmit. We first derive a novel and throughput-optimal joint selection and rate adaptation rule (TOJSRA) when the nodes are subject to a weaker average power constraint. We then propose a novel rule for a multi-EH node system that is based on TOJSRA, and we prove its optimality for stationary and ergodic EH and fading processes. We also model the various energy overheads of the EH nodes and characterize their effect on the adaptation policy and the system throughput.

ADAPTATION OF MW LEVEL NATURAL GAS LEAN BURN ENGINE FOR PRODUCER GAS OPERATION A GRID CONNECTED POWER PLANT

Availability of producer gas engines at MW being limited necessitates to adapt engine from natural gas operation. The present work focus on the development of necessary kit for adapting a 12 cylinder lean burn turbo-charged natural gas engine rated at 900 kWe (Waukesha make VHP5904LTD) to operate on producer and set up an appropriate capacity biomass gasification system for grid linked power generation in Thailand. The overall plant configuration had fuel processing, drying, reactor, cooling and cleaning system, water treatment, engine generator and power evacuation. The overall project is designed for evacuation of 1.5 MWe power to the state grid and had 2 gasification system with the above configuration and 3 engines. Two gasification system each designed for about 1100 kg/hr of woody biomass was connected to the engine using a producer gas carburetor for the necessary Air to fuel ratio control. In the use of PG to fuel IC engines, it has been recognized that the engine response will differ as compared to the response with conventional fueled operation due to the differences in the thermo-physical properties of PG. On fuelling a conventional engine with PG, power de-rating can be expected due to the lower calorific value (LCV), lower adiabatic flame temperature (AFT) and the lower than unity product to reactant more ratio. Further the A/F ratio for producer gas is about 1/10th that of natural gas and requires a different carburetor for engine operation. The research involved in developing a carburetor for varying load conditions. The patented carburetor is based on area ratio control, consisting of a zero pressure regulator and a separate gas and air line along with a mixing zone. The 95 litre engine at 1000 rpm has an electrical efficiency of 33.5 % with a heat input of 2.62 MW. Each engine had two carburetors designed for producer gas flow each capable of handling about 1200 m3/hr in order to provide similar engine heat input at a lower conversion efficiency. Cold flow studies simulating the engine carburetion system results showed that the A/F was maintained in the range of 1.3 +/- 0.1 over the entire flow range. Initially, the gasification system was tested using woody biomass and the gas composition was found to be CO 15 +/- 1.5 % H-2 22 +/- 2% CH4 2.2 +/- 0.5 CO2 11.25 +/- 1.4 % and rest N-2, with the calorific value in the range of 5.0 MJ/kg. After initial trials on the engine to fine tune the control system and adjust various engine operating parameter a peak load of 800 kWe was achieved, while a stable operating conditions was found to be at 750 kWe which is nearly 85 % of the natural gas rating. The specific fuel consumption was found to be 0.9 kg of biomass per kWh.

Multi-scale vulnerability assessment for adaptation planning

Vulnerability of communities and natural ecosystems, to potential impacts of climate change in developing countries like India, and the need for adaptation are rapidly emerging as central issues in the debate around policy responses to climate change. The present study presents an approach to identify and prioritize the most vulnerable districts, villages and households in Karnataka State, through a multi-scale assessment of inherent vulnerability to current climate variability. It also identifies the drivers of inherent vulnerability, thereby providing a tool for developing and mainstreaming adaptation strategies, in ongoing developmental or dedicated adaptation programmes. The multi-scale assessment was made for all 30 districts at the state level in Karnataka, about 1220 villages in Chikballapur district, and at the household level for two villages - Gundlapalli and Saddapalli - in Bagepalli taluk of Chikballapur district. At the district, village and household levels, low levels of education and skills are the dominant factors contributing to vulnerability. At the village and household level, the lack of income diversification and livelihood support institutions are key drivers of vulnerability. The approach of multi-scale vulnerability assessment facilitates identification and prioritization of the drivers of vulnerability at different scales, to focus adaptation interventions to address these drivers.

ON THE UTILITY OF CANONICAL CORRELATION ANALYSIS FOR DOMAIN ADAPTATION IN MULTI-VIEW HEADPOSE ESTIMATION

The utility of canonical correlation analysis (CCA) for domain adaptation (DA) in the context of multi-view head pose estimation is examined in this work. We consider the three problems studied in 1], where different DA approaches are explored to transfer head pose-related knowledge from an extensively labeled source dataset to a sparsely labeled target set, whose attributes are vastly different from the source. CCA is found to benefit DA for all the three problems, and the use of a covariance profile-based diagonality score (DS) also improves classification performance with respect to a nearest neighbor (NN) classifier.

Establecimiento de plan sanitario y profilactico en la Granja Cunicula Artesanal de Nindiri, departamento de Masaya, Nicaragua

Dado que en Nicaragua la producción cunícula se está convirtiendo en una alternativa de consumo para la población, es necesario que en las granjas cunícula se implementen medidas profilácticas para mejorar las condiciones de salud y por ende la calidad de su carne, por lo cual se propuso este trabajo de investigación que lleva por titulo: Establecimiento de Plan Sanitario y Profiláctico en la Granja Cunícula Artesanal de Nindirí, Departamento de Masaya, Nicaragua. Por lo cual se procedió a establecer los siguientes objetivos: Validar la aplicación de minerales y vitaminas en granjas cuniculas de explotación artesanal, validar la aplicación de Coccidiostáticos en los conejos de diferentes categorías, validar la aplicación de desparasitantes externos e internos en los conejos de diferentes categorías. Este estudio se realizó en un período de seis meses mediante laaplicación de cuatro tipos de tratamiento con frecuencia de aplicación TA (Sulfaprin) mensual, TB (Levamisol) cada tres meses, TC (Ivermectina) cada tres meses, TD (Vitaminas AD3E) semanal, en total se estudiaron 80 animales de diferentes categorías. Los tratamientos aplicados demostraron efectividad en el control de las patologías en la granja. Así el plan sanitario permitió mejorar casi en su totalidad patologías predisponentes. En conclusión se puede decir que la aplicación del plan sanitario acompañado de medidas higiénicas, controló en un 95% la presencia de patologías, disminuyó la tasa de mortalidad y los costos de producción, además se obtuvo mejor calidad de la carne.

Estudio de la implementación del plan de bioseguridad en granjas de engorde de cuatro empresas avícolas de Nicaragua

El estudio del plan de bioseguridad de granjas de engorde de las cuatro empresas avícolas de engorde de Nicaragua se realizó con el objetivo de evaluar las medidas de bioseguridad, permitiéndonos: conocer las fortalezas y debilidades, desarrollo tecnológico y distribución de las cuatro empresas por departamento. La información se recopiló en el formato de encuesta de medidas de bioseguridad del MAGFOR, que consiste en un stop de 86 preguntas dirigidas a investigar su cumplimiento, las respuestas se analizaron mediante incorporación de datos en hoja electrónica en Excel y procesadas en Acces para estudiarlas con la formula V/TP x 100; El nivel tecnológico se calculó agregando un valor a cada pregunta con un puntaje de 2 a 5 para dar un peso o ponderación especifica, 2 las de menor tecnología y 5 las de mayor nivel ténológico. Encontrándose que el 78% de la encuestas del plan de bioseguridad es aprobado con rango de 98 a 60% de cumplimiento, estas son consideradas fortalezas para las granjas y el 22% tienen un menor nivel de aceptación considerándose las debilidades de las mismas. En el nivel tecnológico 26 de 44 granjas poseen la categoría alta que es mayor o igual al 80% de tecnología, 13 tienen una categoría media del 60% a 79% y 4 poseen un nivel bajo menor al 59%. Todas ellas ubicadas en los departamentos de Carazo, Estelí, Granada, León, Madríz, Managua. Masaya, Matagalpa y nueva Segovia, siendo Masaya la que presenta mayor cantidad de granjas.

Discriminative language model adaptation for Mandarin broadcast speech transcription and translation

This paper investigates unsupervised test-time adaptation of language models (LM) using discriminative methods for a Mandarin broadcast speech transcription and translation task. A standard approach to adapt interpolated language models to is to optimize the component weights by minimizing the perplexity on supervision data. This is a widely made approximation for language modeling in automatic speech recognition (ASR) systems. For speech translation tasks, it is unclear whether a strong correlation still exists between perplexity and various forms of error cost functions in recognition and translation stages. The proposed minimum Bayes risk (MBR) based approach provides a flexible framework for unsupervised LM adaptation. It generalizes to a variety of forms of recognition and translation error metrics. LM adaptation is performed at the audio document level using either the character error rate (CER), or translation edit rate (TER) as the cost function. An efficient parameter estimation scheme using the extended Baum-Welch (EBW) algorithm is proposed. Experimental results on a state-of-the-art speech recognition and translation system are presented. The MBR adapted language models gave the best recognition and translation performance and reduced the TER score by up to 0.54% absolute. © 2007 IEEE.

Language model combination and adaptation using weighted finite state transducers

In speech recognition systems language model (LMs) are often constructed by training and combining multiple n-gram models. They can be either used to represent different genres or tasks found in diverse text sources, or capture stochastic properties of different linguistic symbol sequences, for example, syllables and words. Unsupervised LM adaptation may also be used to further improve robustness to varying styles or tasks. When using these techniques, extensive software changes are often required. In this paper an alternative and more general approach based on weighted finite state transducers (WFSTs) is investigated for LM combination and adaptation. As it is entirely based on well-defined WFST operations, minimum change to decoding tools is needed. A wide range of LM combination configurations can be flexibly supported. An efficient on-the-fly WFST decoding algorithm is also proposed. Significant error rate gains of 7.3% relative were obtained on a state-of-the-art broadcast audio recognition task using a history dependently adapted multi-level LM modelling both syllable and word sequences. ©2010 IEEE.

Efecto de la eliminación de hospederos sobre la dinámica poblacional de gusano rosado del algodonero Pectinophora gossypiella (Saunders) lepidoptera, Gelechidae en plan de erradicación

El presente trabajo es un análisis descriptivo preliminar, sobre las actividades llevadas acabo en el plan de erradicación y contención del gusano rosado del algodonero Pectinophora gossypiella (Saunders), el cual se llevó a cabo en la “Isla del Maiz” (Corn lsland). localizada en el Océano Atlántico, en la Región Autónoma Atlantíco Sur (RAAS) de la República de Nicaragua. El objetivo principal de este trabajo consistió en determinar el efecto de la eliminación de los hospederos principales del "Gusano Rosado”, que son : Algodón Silvestre (Gossypium barbadense), Higuerilla (Ricinus communis) y algunos hospederos alternos que interactúan sobra su biologia y dinámica Poblacional. Se ubicaron trampas DELTAS de PRISMA con feromonas, con el objetivo de capturar adultos machos de Pectinophora gossypiella (Saunders). Esta plaga es facilmente confundible con el falso Gusano Rosado Colombiano (Sacacioces piralis). Gusano rosado, es una plaga cuarentenada en Nicaragua y restos de países del área Centro Americana; este insecto vive en malvaceas silvestres y cultivadas, atacando órganos reproductivos (Botones florales, flores, bellotas y motas), provoca la destrucción de semillas y las fibras, a la vez que sus daños y residuos fecales pueden ser fuente de infestación de hongos y bacterias fitopatogenas. Se realizaron inspeccionas de manera visual en diferentes áreas de la Isla para ubicar los focos de los hospederos ya determinados y posteriormente eliminarlos de forma mecanico-quimica, aplicándole al herbicida TORDON -101 (Pichloran 2, 4•D) a los tocones cortados y en ocasiones arrancar las plantas de forma manual desde sus raices, esto en dependencia de las dimensiones del tallo y tamaño de la planta en la medida que fuese posible arrancarlo del suelo. De la eliminación mecanico-quimica efectuado sobre los hospederos alimenticios de la plaga ya determinados (Algodón Silvestre e Higuerilla), se puede promediar un 95% de plantas huespedes eliminadas, para ambas especies, durante todo el periodo que duro nuestro trabajo. De igual forma se instalaron un total de 100 trampas DELTAS distribuidas en 5 rutas procurando cubrir el 95 % del territorio de la Isla del Maiz. Producto del monitoreo y el alto indice de capturas de adultos machos efecto de la actividad confucionista de la feromona sexual ubicada en cada una de las trampas, utilizado como método de control y erradicación de la plaga, nos indicaron que la población de adultos de gusano rosado presentaba una reducción considerable; lo cual demuestra que la eliminación de los hospederos afecta eficazmente la dinámica poblacional de esta plaga.

Language model cross adaptation for LVCSR system combination

State-of-the-art large vocabulary continuous speech recognition (LVCSR) systems often combine outputs from multiple subsystems developed at different sites. Cross system adaptation can be used as an alternative to direct hypothesis level combination schemes such as ROVER. In normal cross adaptation it is assumed that useful diversity among systems exists only at acoustic level. However, complimentary features among complex LVCSR systems also manifest themselves in other layers of modelling hierarchy, e.g., subword and word level. It is thus interesting to also cross adapt language models (LM) to capture them. In this paper cross adaptation of multi-level LMs modelling both syllable and word sequences was investigated to improve LVCSR system combination. Significant error rate gains up to 6.7% rel. were obtained over ROVER and acoustic model only cross adaptation when combining 13 Chinese LVCSR subsystems used in the 2010 DARPA GALE evaluation. © 2010 ISCA.