Paper industry in Kerala: An evaluation of labour absorption,capacity utilisation, and environmental pollution

Paper industry is one of the oldest and largest industries in Kerala. Despite the developments in the industry in terms of growth in output , value added and employment generation, many of the units face grave problems. Irrespective of the size of the plant, the problems of the industry are general in nature. The problems are galore in the supply, not the demand side. Amomg the problems, the important ones are: raw material scarcity, energy deficiency and obsolete technology. Further, the industry is subject to many controls by the Government — price control, product control and raw materials control — which result in the dwindling of profits and investments. Equally important are the reservations against the industry for polluting the environment byeffluent disposal on the one hand and affecting ecological balance by depleting the existing forest on the other. Apart from the large, medium and small pulp and paper mills, there are about 30 hand made paper units in Kerala which can be categorised as village and cottage industry. Almost all of these units began at the initiative and support of Khadi and Village Industries Commission. The primary purpose of these units is employment generation, and not profit making. Currently many of these units are in the red and many others are on the verge of closure. Therefore, a separate analysis of the growth performance, and problems and prospects of the hand made paper industry has also been attempted. It is analysed separately because of the very small size of the hand made paper units

Chemometric study on the trace metal accumulation in the sediments of the Cochin Estuary―Southwest coast of India

The distribution and accumulation of trace metals in the sediments of the Cochin estuary during the pre-monsoon, monsoon and post-monsoon periods were investigated. Sediment samples from 14 locations were collected and analysed for the metal contents (Mg, Cr, Mn, Fe, Co, Ni, Cu, Zn, Cd and Pb), organic carbon, total nitrogen, total sulphur and grain size. The data were processed using statistical tools like correlation, factor and cluster analysis. The study revealed an enrichment of Cd and Zn in the study area particularly at station 2, which is confirmed by enrichment factor, contamination factor and geoaccumulation index. The factor analysis revealed that the source of Cd and Zn may be same. The study indicated that the spatial variation for the metals like Mg, Cr, Fe, Co, Ni, Cu, Zn, Cd and Pb were predominant unlike Mn which shows a temporal variation. The strong association of trace metals with Fe and Mn hydroxides and oxides are prominent along the Cochin estuary. The anthropogenic inputs of industrial effluents mainly control the trace metals enrichment in the Cochin estuary

Studies on Advanced Oxidation Processes for the Removal of Acetamiprid from Wastewater

Pollution of water with pesticides has become a threat to the man, material and environment. The pesticides released to the environment reach the water bodies through run off. Industrial wastewater from pesticide manufacturing industries contains pesticides at higher concentration and hence a major source of water pollution. Pesticides create a lot of health and environmental hazards which include diseases like cancer, liver and kidney disorders, reproductive disorders, fatal death, birth defects etc. Conventional wastewater treatment plants based on biological treatment are not efficient to remove these compounds to the desired level. Most of the pesticides are phyto-toxic i.e., they kill the microorganism responsible for the degradation and are recalcitrant in nature. Advanced oxidation process (AOP) is a class of oxidation techniques where hydroxyl radicals are employed for oxidation of pollutants. AOPs have the ability to totally mineralise the organic pollutants to CO2 and water. Different methods are employed for the generation of hydroxyl radicals in AOP systems. Acetamiprid is a neonicotinoid insecticide widely used to control sucking type insects on crops such as leafy vegetables, citrus fruits, pome fruits, grapes, cotton, ornamental flowers. It is now recommended as a substitute for organophosphorous pesticides. Since its use is increasing, its presence is increasingly found in the environment. It has high water solubility and is not easily biodegradable. It has the potential to pollute surface and ground waters. Here, the use of AOPs for the removal of acetamiprid from wastewater has been investigated. Five methods were selected for the study based on literature survey and preliminary experiments conducted. Fenton process, UV treatment, UV/ H2O2 process, photo-Fenton and photocatalysis using TiO2 were selected for study. Undoped TiO2 and TiO2 doped with Cu and Fe were prepared by sol-gel method. Characterisation of the prepared catalysts was done by X-ray diffraction, scanning electron microscope, differential thermal analysis and thermogravimetric analysis. Influence of major operating parameters on the removal of acetamiprid has been investigated. All the experiments were designed using central compoiste design (CCD) of response surface methodology (RSM). Model equations were developed for Fenton, UV/ H2O2, photo-Fenton and photocatalysis for predicting acetamiprid removal and total organic carbon (TOC) removal for different operating conditions. Quality of the models were analysed by statistical methods. Experimental validations were also done to confirm the quality of the models. Optimum conditions obtained by experiment were verified with that obtained using response optimiser. Fenton Process is the simplest and oldest AOP where hydrogen peroxide and iron are employed for the generation of hydroxyl radicals. Influence of H2O2 and Fe2+ on the acetamiprid removal and TOC removal by Fenton process were investigated and it was found that removal increases with increase in H2O2 and Fe2+ concentration. At an initial concentration of 50 mg/L acetamiprid, 200 mg/L H2O2 and 20 mg/L Fe2+ at pH 3 was found to be optimum for acetamiprid removal. For UV treatment effect of pH was studied and it was found that pH has not much effect on the removal rate. Addition of H2O2 to UV process increased the removal rate because of the hydroxyl radical formation due to photolyis of H2O2. An H2O2 concentration of 110 mg/L at pH 6 was found to be optimum for acetamiprid removal. With photo-Fenton drastic reduction in the treatment time was observed with 10 times reduction in the amount of reagents required. H2O2 concentration of 20 mg/L and Fe2+ concentration of 2 mg/L was found to be optimum at pH 3. With TiO2 photocatalysis improvement in the removal rate was noticed compared to UV treatment. Effect of Cu and Fe doping on the photocatalytic activity under UV light was studied and it was observed that Cu doping enhanced the removal rate slightly while Fe doping has decreased the removal rate. Maximum acetamiprid removal was observed for an optimum catalyst loading of 1000 mg/L and Cu concentration of 1 wt%. It was noticed that mineralisation efficiency of the processes is low compared to acetamiprid removal efficiency. This may be due to the presence of stable intermediate compounds formed during degradation Kinetic studies were conducted for all the treatment processes and it was found that all processes follow pseudo-first order kinetics. Kinetic constants were found out from the experimental data for all the processes and half lives were calculated. The rate of reaction was in the order, photo- Fenton>UV/ H2O2>Fenton> TiO2 photocatalysis>UV. Operating cost was calculated for the processes and it was found that photo-Fenton removes the acetamiprid at lowest operating cost in lesser time. A kinetic model was developed for photo-Fenton process using the elementary reaction data and mass balance equations for the species involved in the process. Variation of acetamiprid concentration with time for different H2O2 and Fe2+ concentration at pH 3 can be found out using this model. The model was validated by comparing the simulated concentration profiles with that obtained from experiments. This study established the viability of the selected AOPs for the removal of acetamiprid from wastewater. Of the studied AOPs photo- Fenton gives the highest removal efficiency with lowest operating cost within shortest time.

Soil, water and nutrient loss under conventional and organic vegetable production managed in small farms

Agricultural systems with conventional tillage and intensive use of agrochemicals, especially those on high slopes and with shallow soils, have the potential to release pollutants. This study aimed at evaluating the soil, water and nutrient lost via agricultural runoff in large plots (small catchments) under conventional and organic farming of vegetables as well as under forest (control) system in a Cambisol in the Campestre catchment. Samples of runoff were collected biweekly for one year through a Coshocton wheel. The soil and water losses from the conventional farming were 218 and 6 times higher, respectively, than forest. Under organic farming the soil and water losses were 12 and 4 times higher, respectively, than forest. However the soil losses (0.5 to 114 kg ha^(−1) year^(−1)) are considered low in agronomy but environmentally represent a potential source of surface water contamination by runoff associated pollutants. The concentrations and losses of all forms of phosphorus (P) were higher in the conventional system (9.5, 0.9 and 0.3 mg L^(−1) of total P for conventional, organic and forest systems, respectively), while the organic system had the highest concentrations and losses of soluble nitrogen (4.7, 38.6 and 0.4 mg L^(−1) of NO_3-N, respectively). The percentage of bioavailable P was proportionally higher in the organic system (91% of total P lost was as bioavailable P), indicating greater potential for pollution in the short term.

Utilisation of Giant African snail (Achatina fulica) meal as protein source by laying hens

A 12-week experiment was carried out to investigate the effects of substituting Giant African snail meal for fish meal in laying hens diet. Four diets were formulated to contain snail meal as replacement for fish meal at 0 (control), 33, 67 and 100%. A total of 120 Shaver Brown pullets aged 18 weeks were allocated to the dietary treatments in a randomised design. Each treatment consisted of three replicates and ten birds per replicate. Feed intake increased only for the 33% treatment as compared to the 67% replacement diet but did not differ from the other treatments. There were no significant treatment effects on egg performance parameters observed (egg production, egg weight, total egg mass, feed conversion ratio and percent shell). The overall feed cost of egg production reduced on the snail meal-based diets. The organoleptic evaluation of boiled eggs revealed no difference between the treatments. Based on these results it was concluded that total replacement of fish meal with cooked snail meat meal does not compromise laying performance or egg quality. The substitution is beneficial in terms of production cost reduction and the reduction of snails will have a beneficial impact especially where these snails are a serious agricultural pest. The manual collection and processing of snails can also become a source of rural income.

DielmoOpenLidar: control de calidad de datos LIDAR y generación de productos finales

Desde hace más de 5 años DIELMO 3D S.L. ha estado trabajando en el desarrollo de software para el procesado de datos LiDAR, usándolo internamente para la producción de Modelos Digitales del Terreno (MDT) en numerosos proyectos. Finalmente, con la ayuda de la CIT hemos decidido tomar la iniciativa de crear un nuevo software libre basado en gvSIG para el manejo de datos LiDAR. En primer lugar haremos una introducción a la tecnología LiDAR, comentando los fundamentos básicos, los datos originales que se obtienen después de un vuelo y las aplicaciones o productos finales que se pueden generar a partir de la tecnología LiDAR. Una vez familiarizados con este tipo de datos, mostraremos el uso del driver desarrollado por DIELMO para el acceso, visualización y análisis de datos LiDAR originales en formato LAS y BIN para grandes volúmenes de datos. Por último comentaremos las herramientas que se están desarrollando para realizar controles de calidad a los datos originales y generar diferentes productos finales a partir de los datos originales: Modelo Digital del Terreno (MDT), Modelo Digital de Superficie (MDS) e imagen de intensidades

Local model predictive control experiences with differential driven wheeled mobile robots

This work extends a previously developed research concerning about the use of local model predictive control in differential driven mobile robots. Hence, experimental results are presented as a way to improve the methodology by considering aspects as trajectory accuracy and time performance. In this sense, the cost function and the prediction horizon are important aspects to be considered. The aim of the present work is to test the control method by measuring trajectory tracking accuracy and time performance. Moreover, strategies for the integration with perception system and path planning are briefly introduced. In this sense, monocular image data can be used to plan safety trajectories by using goal attraction potential fields

Two methods for voltage sag source location

This paper presents and compares two approaches to estimate the origin (upstream or downstream) of voltage sag registered in distribution substations. The first approach is based on the application of a single rule dealing with features extracted from the impedances during the fault whereas the second method exploit the variability of waveforms from an statistical point of view. Both approaches have been tested with voltage sags registered in distribution substations and advantages, drawbacks and comparative results are presented

A hybrid method for sag source location in power network

The work presented in this paper belongs to the power quality knowledge area and deals with the voltage sags in power transmission and distribution systems. Propagating throughout the power network, voltage sags can cause plenty of problems for domestic and industrial loads that can financially cost a lot. To impose penalties to responsible party and to improve monitoring and mitigation strategies, sags must be located in the power network. With such a worthwhile objective, this paper comes up with a new method for associating a sag waveform with its origin in transmission and distribution networks. It solves this problem through developing hybrid methods which hire multiway principal component analysis (MPCA) as a dimension reduction tool. MPCA reexpresses sag waveforms in a new subspace just in a few scores. We train some well-known classifiers with these scores and exploit them for classification of future sags. The capabilities of the proposed method for dimension reduction and classification are examined using the real data gathered from three substations in Catalonia, Spain. The obtained classification rates certify the goodness and powerfulness of the developed hybrid methods as brand-new tools for sag classification

A data-driven approach to disease control

As our world becomes increasingly interconnected, diseases can spread at a faster and faster rate. Recent years have seen large-scale influenza, cholera and ebola outbreaks and failing to react in a timely manner to outbreaks leads to a larger spread and longer persistence of the outbreak. Furthermore, diseases like malaria, polio and dengue fever have been eliminated in some parts of the world but continue to put a substantial burden on countries in which these diseases are still endemic. To reduce the disease burden and eventually move towards countrywide elimination of diseases such as malaria, understanding human mobility is crucial for both planning interventions as well as estimation of the prevalence of the disease. In this talk, I will discuss how various data sources can be used to estimate human movements, population distributions and disease prevalence as well as the relevance of this information for intervention planning. Particularly anonymised mobile phone data has been shown to be a valuable source of information for countries with unreliable population density and migration data and I will present several studies where mobile phone data has been used to derive these measures.

La gestión del agua: el desafío chino. Iniciativas medio ambientales chinas y el manejo del río Mekong. Periodo de estudio: 1980 - 2010

El propósito de la presente investigación es evaluar la incidencia regional de las iniciativas chinas a favor de la gestión del agua del Río Mekong como elementos que contribuyen en la construcción de la percepción favorable para el gigante asiático. Producto del conjunto de reformas aplicadas desde 1978, China fue objeto de un crecimiento económico exponencial que algunos académicos denominan milagroso; sin embargo, dicho proceso involucró un impacto negativo sobre el medio ambiente y en particular sobre el agua del Estado. El deterioro ambiental chino implicó, por un lado, el desarrollo de medidas internas que pretenden reversar los efectos descritos en el marco de las diferentes cumbres mundiales sobre medio ambiente y por otro, la participación en iniciativas de carácter subregional que denotan cierto grado de pro-actividad del gigante asiático en materia ambiental.

Establecimiento de un sistema para el monitoreo y control de la contaminación cruzada en el laboratorio de análisis microbiológico de alimentos durante 2009

Dentro de las actividades para el control de calidad en el laboratorio, los resultados finales de un analito en particular son considerados productos intermedios, dada la pertinencia otorgada al aseguramiento de la calidad como fin último de los programas de gestión de la calidad. Esta concepción precisa el establecimiento de instrumentos integrales para la detección de eventos como la contaminación cruzada y la adopción de medidas para evitar que se afecte la marcha analítica. Objetivo: el objetivo principal fue establecer un sistema para el monitoreo y control de la contaminación cruzada en el laboratorio de análisis microbiológico de alimentos. Materiales y métodos: la metodología empleada consistió en desarrollar diagramas de flujo para los procedimientos sobre el control de las poblaciones de mesófilos aerobios y mohos provenientes de la contaminación en los ambientes, superficies, material estéril y medios de cultivos. Dichos diagramas incluyeron un árbol de decisiones, diseñado para efectuar acciones de control con base en los intervalos de tolerancia, establecidos como herramienta objetiva hacia la toma de decisiones que normalicen los recuentos de las poblaciones microbianas en cuestión. Resultados: los límites de alerta más estrictos se obtuvieron para las poblaciones de mesófilos aerobios y mohos en los diferentes controles, excepto para el ambiente del área de preparación de medios y los correspondientes al material estéril. Conclusión: el proceso desarrollado permitió complementar el sistema de control de calidad interno en el laboratorio, al disponer de un medio objetivo para el cierre de no conformidades por contaminación cruzada.

Desarrollo de un estado de la cuestión acerca de las interacciones entre el control de gestión y el aprendizaje organizacional.

Las organizaciones en la actualidad deben encontrar diferentes maneras de sobrevivir en un tiempo de rápida transformación. Uno de los mecanismos usados por las empresas para adaptarse a los cambios organizacionales son los sistemas de control de gestión, que a su vez permiten a las organizaciones hacer un seguimiento a sus procesos, para que la adaptabilidad sea efectiva. Otra variable importante para la adaptación es el aprendizaje organizacional siendo el proceso mediante el cual las organizaciones se adaptan a los cambios del entorno, tanto interno como externo de la compañía. Dado lo anterior, este proyecto se basa en la extracción de documentación soporte valido, que permita explorar las interacciones entre estos dos campos, los sistemas de control de gestión y el aprendizaje organizacional, además, analizar el impacto de estas interacciones en la perdurabilidad organizacional. ​

Diferencias individuales y desarrollo de habilidades de liderazgo : el rol del locus de control

El presente proyecto se ha elaborado con la finalidad de encontrar la relación existente entre el liderazgo y el locus de control, por medio de una revisión documental que permita dar una visión más amplia de estos dos fenómenos. De acuerdo con investigaciones realizadas, existen características individuales que afectan el desarrollo de liderazgo, lo cual a su vez tiene un impacto sobre el comportamiento de los individuos dentro de una sociedad. Uno de estos factores es el locus de control, el cual sesta determinado por características del individuo, y por el ambiente en el cual se desenvuelven las personas. Existen diferentes evidencias que soportan ésta relación entre locus de control y liderazgo. En éste estudio documental se describirán estos hallazgos, identificando las características del individuo y del contexto que influyen sobre ellos. Asimismo se pondrá en contexto a través del trabajo las características principales de los líderes y como se presentan las interacciones entre los lideres y seguidores, teniendo en cuenta que no todas las veces los seguidores desarrollan este papel al seguir a su líder, sino que por otro lado y estos pueden tomar parte fundamental en la interacción, influyendo de manera directa sobre el líder. Se recuerda que a los lideres los hacen sus seguidores y que sin estos no podrían desarrollar el papel de líder.

Relación entre el desarrollo de sistemas de control de gestión y los recursos y capacidades caso : Teleperformance Colombia

Siguiendo un marco teórico integrado por varios autores entorno a los sistemas de control de gestión a lo largo de varias décadas, este trabajo pretende estudiar y contrastar la relación entre el desarrollo de dichos sistemas y los recursos y capacidades. Para tal fin, se desarrolló un estudio de caso en Teleperformance Colombia (TC), una empresa dedicada a prestación de servicio de tercerización de procesos o business process outsourcing. En el estudio se establecieron dos variables para evaluar el desarrollo de sistema de control de gestión: el diseño y el uso. A su vez, para cada uno de ellos, se definieron los indicadores y preguntas que permitieran realizar la observación y posterior análisis. De igual manera, se seleccionaron los recursos y capacidades más importantes para el desarrollo del negocio: innovación, aprendizaje organizacional y capital humano. Sobre estos se validó la existencia de relación con el SCG implementado en TC. La información obtenida fue analizada y contrastada a través de pruebas estadísticas ampliamente utilizadas en este tipo de estudios en las ciencias sociales. Finalmente, se analizaron seis posibles relaciones de las cuales, solamente se ratificó el relacionamiento positivo entre uso de sistema de control gestión y el recurso y capacidad capital humano. El resto de relacionamientos, refutaron los planteamientos teóricos que establecían cierta influencia de los sistemas de control de gestión sobre recursos y capacidades de innovación y aprendizaje organizacional.