Desarrollo de capacidades para el liderazgo en proyectos de desarrollo rural. Aplicación a comunidades Aymaras

Los proyectos de desarrollo en el medio rural han cambiado en las últimas décadas, desde un enfoque tecnocrático y descendente, que resultó insuficiente, a otro que otorga un papel principal a las personas locales. En este contexto, los nuevos modelos de planificación y gestión de los proyectos de desarrollo a menudo incluyen entre sus objetivos el desarrollo de las capacidades locales y el liderazgo, dedicándose a ellos anualmente billones de dólares. Ambos conceptos son considerados elementos indispensables para aumentar la sostenibilidad de las acciones desde un enfoque endógeno, lo que genera un gran interés tanto desde el ámbito científico como en los debates y objetivos de los organismos internacionales. Sin embargo no existe un consenso sobre el marco conceptual del desarrollo de capacidades ni sobre las metodologías adecuadas para evaluarlo. Por otra parte, en el caso del desarrollo de liderazgo, la mayoría de los estudios e investigaciones se han centrado en entornos empresariales, siendo escasos los trabajos centrados en el ámbito rural. En dicho contexto, la complejidad se incrementa debido a que a menudo la autoridad y poder de los líderes no están dados por puestos formales, sino por relaciones sociales y vínculos de confianza. Esta investigación presenta una primera fase conceptual, que aborda el marco teórico, analizando y clarificando los conceptos de desarrollo de capacidades, competencias y liderazgo en el contexto de los proyectos de desarrollo rural. Así mismo, en esta fase se clasifican los principales instrumentos para evaluar el desarrollo de capacidades, para así definir las variables que conforman el constructo de capacidades. Además se determina la multidimensionalidad del concepto de capacidades y por ello la conveniencia de abordarlo a nivel individual y colectivo. También se analizan los distintos estilos de liderazgo para llegar a una definición propia de desarrollo de capacidades y de liderazgo adaptadas al medio rural. El marco teórico anterior permite sentar, en una segunda fase de la investigación, las bases científicas del modelo que se propone: el modelo DCL de Desarrollo de Capacidades para el Liderazgo en los proyectos de desarrollo rural. Este modelo incorpora elementos del marco conceptual Working With People (Cazorla et al., 2013), fruto de 25 años de experiencia en el ámbito de la planificación de proyectos de desarrollo rural desde el grupo de investigación GESPLAN de la Universidad Politécnica de Madrid. El modelo DCL integra metodologías cuantitativas y cualitativas y una doble escala de análisis para promover y evaluar el desarrollo de capacidades en la población local desde tres componentes: técnico-empresarial, relacional y contextual. Además el modelo DCL incorpora un proceso metodológico para poder integrar el seguimiento y la evaluación de las capacidades a lo largo del ciclo del proyecto. Finalmente, en una fase de aplicación, se acomete la validación del modelo DCL a través del caso de estudio de un proyecto de desarrollo con una organización de mujeres artesanas de comunidades aymaras de Puno (Perú). Este proyecto, que incorpora el marco conceptual WWP, integra 5 años de experiencia con comunidades aymaras desde el grupo de investigación GESPLAN. La aplicación muestra cómo el modelo DCL permite evaluar el desarrollo de capacidades para el liderazgo. Así mismo, la incorporación de los aprendizajes tras las evaluaciones de desarrollo de capacidades permite reorientar las acciones del proyecto para mejorar su planificación y gestión y producir un verdadero empoderamiento y liderazgo de la organización local. Lo anterior se traduce en un aumento de la sostenibilidad del proyecto y de la resiliencia social de la organización. ABSTRACT Development projects in rural areas have changed in recent decades, from a technocratic and top-down approach, which proved insufficient, to another that gives a major role to local people. In this context, the new models of planning and management of development projects often include among their objectives the development of local capacities and leadership and engage billions of dollars annually. Both concepts are considered essential for enhancing the sustainability of the actions from an endogenous approach, generating great interest both from the scientific field and in the debates and objectives of international organizations. However there is no consensus on the conceptual framework of capacity development and on appropriate methodologies to evaluate it. Moreover, in the case of leadership development, most of the studies and research have focused on business environments, with few studies focusing on rural areas. In this context, the complexity is increased because often the authority and power of the leaders are not given for formal positions, but by social relationships and bonds of trust. This research presents an initial conceptual phase, which addresses the theoretical framework, analyzing and clarifying the concepts of capacity development, competencies and leadership in the context of rural development projects. Also, at this stage the main instruments to assess capacity development are classified so as to define the variables that shape the capacity construct. Besides the multidimensionality of the concept of capacity is determined and therefore the convenience of addressing it at an individual and colective level. Different leadership styles are also analyzed to propose a definition of capacity development and leadership adapted to the rural environment. The above theoretical framework allows to set, in a second research phase, the scientific basis of the proposed model: the model DCL of Capacity Development for Leadership in rural development projects. This model incorporates elements of the conceptual framework Working With People (Cazorla et al., 2013), the result of 25 years of experience in the field of project planning for rural development from the research group GESPLAN of the Technical University of Madrid. The DCL model integrates quantitative and qualitative methodologies and a double scale of analysis to promote and evaluate capacity development in the local population from three components: technical-entrepreneurial, relational and contextual. Besides the DCL model incorporates a methodological process to integrate monitoring and evaluation of capacities throughout the project cycle. Finally, in an application phase, DCL model validation is undertaken through the case study of a development project with an organization of women artisans of Aymara communities in Puno (Peru). This project, that incorporates the WWP conceptual framework, integrates 5 years of experience with Aymara communities from GESPLAN research group. The application shows how the DCL model allows to assess the development of capacities for leadership. Also, the incorporation of lessons learned after monitoring and evaluation of capacity development allows to redirect actions to improve project planning and management and produce a true empowerment and leadership of the local organization. This translates into increased project sustainability and social resilience of the organization.

Capacity building in development projects

Development projects of different types mainly aim to alleviate poverty and ameliorate the livelihoods of local people. One of the strategies commonly used is to focus on organizations and build from their existing capacities in order to improve their living standards or try to build new organizations to work in a common project. Social and human capitals are two key components of these organizations and they might be crucial to the success of the actions that they accomplish. Both can be considered as part of the social capacity of the local organization. This capacity can be enforced with development projects through capacity building. This term means much more than training activities as it includes not only human resource development but also organizational and institutional development (UNESCO, 2010). Capacity and capacity building concepts, as well as capacity measurements in this context are explored to build a framework to evaluate the social capacity generated with the interventions and better plan the actions to be undertaken by the projects to succeed. The focus is set on rural development projects.

Development in Rural Areas Through Capacity Building and Education for Business

This paper is based on a case study located in Avila, central Spain. Its main objectives are to implement an entrepreneurship program and design a plan of capacity building and education for business in order to promote the development of rural areas. The methodological approach of the program is based on the use of tools that permit involving the various actors of the area from the early planning stages. The university's group that is carrying out the field work has relied on these participatory tools in very different areas and contexts for over 25 years. This has allowed the development of an advanced planning model called ?Working With People? that connects expert and experience knowledge in the territories where it is applied. With this methodological approach, the diagnosis of the territory and the design of the program's strategy has been carried out. Once completed the first phase of the program and in order to ensure the sustainability and applicability of future entrepreneurial initiatives, it is necessary to support and strengthen potential entrepreneurs through training activities and capacity building. It relies on ?How to learn from people who live there? to promote investment projects and to teach them with adequate educational skills. In this context, this article aims to study the implementation strategy of these training and capacity building activities studied from an academic perspective, as well as analyzing the potential effects of these actions in promoting entrepreneurship in the territories

Videoconference capacity Leasing on Hybrid Clouds.

This paper proposes a new methodology focused on implementing cost effective architectures on Cloud Computing systems. With this methodology the paper presents some disadvantages of systems that are based on single Cloud architectures and gives some advices for taking into account in the development of hybrid systems. The work also includes a validation of these ideas implemented in a complete videoconference service developed with our research group. This service allows a great number of users per conference, multiple simultaneous conferences, different client software (requiring transcodification of audio and video flows) and provides a service like automatic recording. Furthermore it offers different kinds of connectivity including SIP clients and a client based on Web 2.0. The ideas proposed in this article are intended to be a useful resource for any researcher or developer who wants to implement cost effective systems on several Clouds

Impacts and adaptive capacity as drivers for prioritizing agricultural adaptation to climate change in Europe

In the face of likely climate change impacts policy makers at different spatial scales need access to assessment tools that enable informed policy instruments to be designed. Recent scientific advances have facilitated the development of improved climate projections, but it remains to be seen whether these are translated into effective adaptation strategies. This paper uses existing databases on climate impacts on European agriculture and combines them with an assessment of adaptive capacity to develop an interdisciplinary approach for prioritising policies. It proposes a method for identifying relevant policies for different EU countries that are representative of various agroclimatic zones. Our analysis presents a framework for integrating current knowledge of future climate impacts with an understanding of the underlying socio-economic, agricultural and environmental traits that determine a region’s capacity for adapting to climate change.

Integrated robust airline schedule development

In air transportation, airline profitability is influenced by the airline's ability to build flight schedules. In order to generate operational schedules, airlines engage in a complex decision-making process, referred to as airline schedule planning. Up to now, the generation of flight schedules has been separated and optimized sequentially. The schedule design has been traditionally decomposed into two sequential steps. The frequency planning and the timetable development. The purpose of the second problem of schedule development, fleet assignment, is to assign available aircraft types to flight legs such that seating capacity on an assigned aircraft matches closely with flight demand and such that costs are minimized. Our work integrates these planning phases into one single model in order to produce more economical solutions and create fewer incompatibilities between the decisions. We propose an integrated robust approach for the schedule development step. We design the timetable ensuring that enough time is available to perform passengers’ flight connections, making the system robust avoiding misconnected passengers. An application of the model for a simplified IBERIA network is shown.

The role of a firm's absorptive capacity and the technology transfer process in clusters: How effective are technology centres in low-tech clusters?

This paper analyses how the internal resources of small- and medium-sized enterprises determine access (learning processes) to technology centres (TCs) or industrial research institutes (innovation infrastructure) in traditional low-tech clusters. These interactions basically represent traded (market-based) transactions, which constitute important sources of knowledge in clusters. The paper addresses the role of TCs in low-tech clusters, and uses semi-structured interviews with 80 firms in a manufacturing cluster. The results point out that producer–user interactions are the most frequent; thus, the higher the sector knowledge-intensive base, the more likely the utilization of the available research infrastructure becomes. Conversely, the sectors with less knowledge-intensive structures, i.e. less absorptive capacity (AC), present weak linkages to TCs, as they frequently prefer to interact with suppliers, who act as transceivers of knowledge. Therefore, not all the firms in a cluster can fully exploit the available research infrastructure, and their AC moderates this engagement. In addition, the existence of TCs is not sufficient since the active role of a firm's search strategies to undertake interactions and conduct openness to available sources of knowledge is also needed. The study has implications for policymakers and academia.

Sustainable Air Traffic Management System Development Methodology

As it is defined in ATM 2000+ Strategy (Eurocontrol 2001), the mission of the Air Traffic Management (ATM) System is: “For all the phases of a flight, the ATM system should facilitate a safe, efficient, and expedite traffic flow, through the provision of adaptable ATM services that can be dimensioned in relation to the requirements of all the users and areas of the European air space. The ATM services should comply with the demand, be compatible, operate under uniform principles, respect the environment and satisfy the national security requirements.” The objective of this paper is to present a methodology designed to evaluate the status of the ATM system in terms of the relationship between the offered capacity and traffic demand, identifying weakness areas and proposing solutions. The first part of the methodology relates to the characterization and evaluation of the current system, while a second part proposes an approach to analyze the possible development limit. As part of the work, general criteria are established to define the framework in which the analysis and diagnostic methodology presented is placed. They are: the use of Air Traffic Control (ATC) sectors as analysis unit, the presence of network effects, the tactical focus, the relative character of the analysis, objectivity and a high level assessment that allows assumptions on the human and Communications, Navigation and Surveillance (CNS) elements, considered as the typical high density air traffic resources. The steps followed by the methodology start with the definition of indicators and metrics, like the nominal criticality or the nominal efficiency of a sector; scenario characterization where the necessary data is collected; network effects analysis to study the relations among the constitutive elements of the ATC system; diagnostic by means of the “System Status Diagram”; analytical study of the ATC system development limit; and finally, formulation of conclusions and proposal for improvement. This methodology was employed by Aena (Spanish Airports Manager and Air Navigation Service Provider) and INECO (Spanish Transport Engineering Company) in the analysis of the Spanish ATM System in the frame of the Spanish airspace capacity sustainability program, although it could be applied elsewhere.

Sustainable development using fuzzy logic

Se utiliza la lógica borrosa para elaborar un modelo útil para analizar el desarrollo sostenible de proyectos. The sustainable development is defined as “the development that satisfies needs of the present time without endangering the capacity of future generations to satisfy theirs”. The term “sustainable development” represents that balance between the satisfaction of present needs and the future ones, offering options of technological and social growth for reducing the risks meaning trends of topical increase. The idea of sustainability can be analysed from three perspectives: environmental, social and economic

Renewable energies Driven by Feed-on Tariffs. Photovoltaic vs Wind Energy Development in Spain

Although others regulations regarding feed-in tariffs for photovoltaics (PV) existed in Spain previously, the one that meant a paradigm change was the introduction in 2007 of law R.D.661/2007 which established a feed-in tariff of 41,75 cents/kWh if the installed capacity was greater than 100KWp and 44,04 cents/kWh if it was smaller. The high level of the subsidies together with the lack of a limit for the total installed capacity originates the well-known Spanish photovoltaic boom. In September 2008 the installed PV capacity accounted for 3.2GWp (while the official objective stated in the national renewable roadmap was only 400MWp). To avoid this situation a new law, R.D. 1578/2008, was proclaimed which established a decreasing feed-in tariff of 32 cents/kWh (for ground installations) and 34 cents/kWh (for rooftops) and it limited the annual installed capacity to 500MWp. Although it was successful in limiting the PV subsidies total costs, the successive and sudden changes in regulations resulted very harmful to the local PV industry. In this article, the strong influence of feed-in tariff in the development of PV installed capacity and market evolution in Spain will be analyzed in detail. In addition, a comparison with other subsidized technologies which installed capacity has had a smoother evolution, as wind energy, will be presented.

Progress on the development of a technology for silicon purification

The polysilicon market is experiencing tremendous changes due to the strong demand from Photovoltaics (PV), which has by far surpassed the demand from Microelectronics. The need of solar silicon has induced a large increase in capacity, which has now given a scenario of oversupply, reducing the polysilicon price to levels that put a strong pressure on the cost structure of the producers. The paper reports on the R&D efforts carried out in the field of solar silicon purification via the chlorosilane route by a private-public consortium that is building a pilot plant of 50-100 tonnes/year, that will synthesize trichlorosilane, purify it and deposit ultrapure silicon in an industrial-size Siemens type reactor. It has also capabilities for ingot growth and material characterization. A couple of examples of the progress so far are given, the first one related to the recycling scheme of chlorinated compounds, and the second to the minimization of radiation losses in the CVD deposition process, which account for a relevant part of the total energy consumption. In summary, the paper gives details on the technology being developed in our pilot plant, which offers a unique platform for field-testing of innovative approaches that can lead to a cost reduction of solar silicon produced via the chlorosilane route.

Development of a methodology and tool to evaluate the impact of ICT measures on road transport emissions

The paper presents the main elements of a project entitled ICT-Emissions that aims at developing a novel methodology to evaluate the impact of ICT-related measures on mobility, vehicle energy consumption and CO2 emissions of vehicle fleets at the local scale, in order to promote the wider application of the most appropriate ICT measures. The proposed methodology combines traffic and emission modelling at micro and macro scales. These will be linked with interfaces and submodules which will be specifically designed and developed. A number of sources are available to the consortium to obtain the necessary input data. Also, experimental campaigns are offered to fill in gaps of information in traffic and emission patterns. The application of the methodology will be demonstrated using commercially available software. However, the methodology is developed in such a way as to enable its implementation by a variety of emission and traffic models. Particular emphasis is given to (a) the correct estimation of driver behaviour, as a result of traffic-related ICT measures, (b) the coverage of a large number of current vehicle technologies, including ICT systems, and (c) near future technologies such as hybrid, plug-in hybrids, and electric vehicles. The innovative combination of traffic, driver, and emission models produces a versatile toolbox that can simulate the impact on energy and CO2 of infrastructure measures (traffic management, dynamic traffic signs, etc.), driver assistance systems and ecosolutions (speed/cruise control, start/stop systems, etc.) or a combination of measures (cooperative systems).The methodology is validated by application in the Turin area and its capacity is further demonstrated by application in real world conditions in Madrid and Rome.

Social capacity building in rural Aymara women organizations in Puno, Peru.

Social capacity building has been considered in the last decades an important element of rural development projects, as it helps organizations and communities to better use their resources, design and manage projects locally and improve their living standards. Social capacity building has been related to the development of certain skills and to the concept of leadership development. Social capacity building and leadership development under a social learning approach have guided a rural development project with an Aymara women organization in Puno, Peru, where around 400 women artisans are trying to develop a business organization to improve their lives and their communities. Qualitative and quantitative methodologies have been applied to assess improvements in capacities and leadership. Results show that the technical aspects are the first to be developed but that group process skills and contextual skills take longer and are crucial to the success of the projects.

Implementation of the Heated Pulsed Theory using actively heated fiber optics: measurements of soil volumetric water content and soil volumetric heat capacity

Existe una creciente necesidad de hacer el mejor uso del agua para regadío. Una alternativa eficiente consiste en la monitorización del contenido volumétrico de agua (θ), utilizando sensores de humedad. A pesar de existir una gran diversidad de sensores y tecnologías disponibles, actualmente ninguna de ellas permite obtener medidas distribuidas en perfiles verticales de un metro y en escalas laterales de 0.1-1,000 m. En este sentido, es necesario buscar tecnologías alternativas que sirvan de puente entre las medidas puntuales y las escalas intermedias. Esta tesis doctoral se basa en el uso de Fibra Óptica (FO) con sistema de medida de temperatura distribuida (DTS), una tecnología alternativa de reciente creación que ha levantado gran expectación en las últimas dos décadas. Específicamente utilizamos el método de fibra calentada, en inglés Actively Heated Fiber Optic (AHFO), en la cual los cables de Fibra Óptica se utilizan como sondas de calor mediante la aplicación de corriente eléctrica a través de la camisa de acero inoxidable, o de un conductor eléctrico simétricamente posicionado, envuelto, alrededor del haz de fibra óptica. El uso de fibra calentada se basa en la utilización de la teoría de los pulsos de calor, en inglés Heated Pulsed Theory (HPP), por la cual el conductor se aproxima a una fuente de calor lineal e infinitesimal que introduce calor en el suelo. Mediante el análisis del tiempo de ocurrencia y magnitud de la respuesta térmica ante un pulso de calor, es posible estimar algunas propiedades específicas del suelo, tales como el contenido de humedad, calor específico (C) y conductividad térmica. Estos parámetros pueden ser estimados utilizando un sensor de temperatura adyacente a la sonda de calor [método simple, en inglés single heated pulsed probes (SHPP)], ó a una distancia radial r [método doble, en inglés dual heated pulsed probes (DHPP)]. Esta tesis doctoral pretende probar la idoneidad de los sistemas de fibra óptica calentada para la aplicación de la teoría clásica de sondas calentadas. Para ello, se desarrollarán dos sistemas FO-DTS. El primero se sitúa en un campo agrícola de La Nava de Arévalo (Ávila, España), en el cual se aplica la teoría SHPP para estimar θ. El segundo sistema se desarrolla en laboratorio y emplea la teoría DHPP para medir tanto θ como C. La teoría SHPP puede ser implementada con fibra óptica calentada para obtener medidas distribuidas de θ, mediante la utilización de sistemas FO-DTS y el uso de curvas de calibración específicas para cada suelo. Sin embargo, la mayoría de aplicaciones AHFO se han desarrollado exclusivamente en laboratorio utilizando medios porosos homogéneos. En esta tesis se utiliza el programa Hydrus 2D/3D para definir tales curvas de calibración. El modelo propuesto es validado en un segmento de cable enterrado en una instalación de fibra óptica y es capaz de predecir la respuesta térmica del suelo en puntos concretos de la instalación una vez que las propiedades físicas y térmicas de éste son definidas. La exactitud de la metodología para predecir θ frente a medidas puntuales tomadas con sensores de humedad comerciales fue de 0.001 a 0.022 m3 m-3 La implementación de la teoría DHPP con AHFO para medir C y θ suponen una oportunidad sin precedentes para aplicaciones medioambientales. En esta tesis se emplean diferentes combinaciones de cables y fuentes emisoras de calor, que se colocan en paralelo y utilizan un rango variado de espaciamientos, todo ello en el laboratorio. La amplitud de la señal y el tiempo de llegada se han observado como funciones del calor específico del suelo. Medidas de C, utilizando esta metodología y ante un rango variado de contenidos de humedad, sugirieron la idoneidad del método, aunque también se observaron importantes errores en contenidos bajos de humedad de hasta un 22%. La mejora del método requerirá otros modelos más precisos que tengan en cuenta el diámetro del cable, así como la posible influencia térmica del mismo. ABSTRACT There is an increasing need to make the most efficient use of water for irrigation. A good approach to make irrigation as efficient as possible is to monitor soil water content (θ) using soil moisture sensors. Although, there is a broad range of different sensors and technologies, currently, none of them can practically and accurately provide vertical and lateral moisture profiles spanning 0-1 m depth and 0.1-1,000 m lateral scales. In this regard, further research to fulfill the intermediate scale and to bridge single-point measurement with the broaden scales is still needed. This dissertation is based on the use of Fiber Optics with Distributed Temperature Sensing (FO-DTS), a novel approach which has been receiving growing interest in the last two decades. Specifically, we employ the so called Actively Heated Fiber Optic (AHFO) method, in which FO cables are employed as heat probe conductors by applying electricity to the stainless steel armoring jacket or an added conductor symmetrically positioned (wrapped) about the FO cable. AHFO is based on the classic Heated Pulsed Theory (HPP) which usually employs a heat probe conductor that approximates to an infinite line heat source which injects heat into the soil. Observation of the timing and magnitude of the thermal response to the energy input provide enough information to derive certain specific soil thermal characteristics such as the soil heat capacity, soil thermal conductivity or soil water content. These parameters can be estimated by capturing the soil thermal response (using a thermal sensor) adjacent to the heat source (the heating and the thermal sources are mounted together in the so called single heated pulsed probe (SHPP)), or separated at a certain distance, r (dual heated pulsed method (DHPP) This dissertation aims to test the feasibility of heated fiber optics to implement the HPP theory. Specifically, we focus on measuring soil water content (θ) and soil heat capacity (C) by employing two types of FO-DTS systems. The first one is located in an agricultural field in La Nava de Arévalo (Ávila, Spain) and employ the SHPP theory to estimate θ. The second one is developed in the laboratory using the procedures described in the DHPP theory, and focuses on estimating both C and θ. The SHPP theory can be implemented with actively heated fiber optics (AHFO) to obtain distributed measurements of soil water content (θ) by using reported soil thermal responses in Distributed Temperature Sensing (DTS) and with a soil-specific calibration relationship. However, most reported AHFO applications have been calibrated under laboratory homogeneous soil conditions, while inexpensive efficient calibration procedures useful in heterogeneous soils are lacking. In this PhD thesis, we employ the Hydrus 2D/3D code to define these soil-specific calibration curves. The model is then validated at a selected FO transect of the DTS installation. The model was able to predict the soil thermal response at specific locations of the fiber optic cable once the surrounding soil hydraulic and thermal properties were known. Results using electromagnetic moisture sensors at the same specific locations demonstrate the feasibility of the model to detect θ within an accuracy of 0.001 to 0.022 m3 m-3. Implementation of the Dual Heated Pulsed Probe (DPHP) theory for measurement of volumetric heat capacity (C) and water content (θ) with Distributed Temperature Sensing (DTS) heated fiber optic (FO) systems presents an unprecedented opportunity for environmental monitoring. We test the method using different combinations of FO cables and heat sources at a range of spacings in a laboratory setting. The amplitude and phase-shift in the heat signal with distance was found to be a function of the soil volumetric heat capacity (referred, here, to as Cs). Estimations of Cs at a range of θ suggest feasibility via responsiveness to the changes in θ (we observed a linear relationship in all FO combinations), though observed bias with decreasing soil water contents (up to 22%) was also reported. Optimization will require further models to account for the finite radius and thermal influence of the FO cables, employed here as “needle probes”. Also, consideration of the range of soil conditions and cable spacing and jacket configurations, suggested here to be valuable subjects of further study and development.

Development of a human movement monitoring system based on wearable devices

It is essential to remotely and continuously monitor the movements of individuals in many social areas, for example, taking care of aging people, physical therapy, athletic training etc. Many methods have been used, such as video record, motion analysis or sensor-based methods. Due to the limitations in remote communication, power consumption, portability and so on, most of them are not able to fulfill the requirements. The development of wearable technology and cloud computing provides a new efficient way to achieve this goal. This paper presents an intelligent human movement monitoring system based on a smartwatch, an Android smartphone and a distributed data management engine. This system includes advantages of wide adaptability, remote and long-term monitoring capacity, high portability and flexibility. The structure of the system and its principle are introduced. Four experiments are designed to prove the feasibility of the system. The results of the experiments demonstrate the system is able to detect different actions of individuals with adequate accuracy.