913 resultados para Traditional Knowledge Systems
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In the face of increasing globalisation, and a collision between global communication systems and local traditions, this book offers innovative trans-disciplinary analyses of the value of traditional cultural expressions (TCE) and suggests appropriate protection mechanisms for them. It combines approaches from history, philosophy, anthropology, sociology and law, and charts previously untravelled paths for developing new policy tools and legal designs that go beyond conventional copyright models. Its authors extend their reflections to a consideration of the specific features of the digital environment, which, despite enhancing the risks of misappropriation of traditional knowledge and creativity, may equally offer new opportunities for revitalising indigenous peoples' values and provide for the sustainability of TCE.This book will appeal to scholars interested in multidisciplinary analyses of the fragmentation of international law in the field of intellectual property and traditional cultural expressions. It will also be valuable reading for those working on broader governance and human rights issues.
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Indoor positioning has attracted considerable attention for decades due to the increasing demands for location based services. In the past years, although numerous methods have been proposed for indoor positioning, it is still challenging to find a convincing solution that combines high positioning accuracy and ease of deployment. Radio-based indoor positioning has emerged as a dominant method due to its ubiquitousness, especially for WiFi. RSSI (Received Signal Strength Indicator) has been investigated in the area of indoor positioning for decades. However, it is prone to multipath propagation and hence fingerprinting has become the most commonly used method for indoor positioning using RSSI. The drawback of fingerprinting is that it requires intensive labour efforts to calibrate the radio map prior to experiments, which makes the deployment of the positioning system very time consuming. Using time information as another way for radio-based indoor positioning is challenged by time synchronization among anchor nodes and timestamp accuracy. Besides radio-based positioning methods, intensive research has been conducted to make use of inertial sensors for indoor tracking due to the fast developments of smartphones. However, these methods are normally prone to accumulative errors and might not be available for some applications, such as passive positioning. This thesis focuses on network-based indoor positioning and tracking systems, mainly for passive positioning, which does not require the participation of targets in the positioning process. To achieve high positioning accuracy, we work on some information of radio signals from physical-layer processing, such as timestamps and channel information. The contributions in this thesis can be divided into two parts: time-based positioning and channel information based positioning. First, for time-based indoor positioning (especially for narrow-band signals), we address challenges for compensating synchronization offsets among anchor nodes, designing timestamps with high resolution, and developing accurate positioning methods. Second, we work on range-based positioning methods with channel information to passively locate and track WiFi targets. Targeting less efforts for deployment, we work on range-based methods, which require much less calibration efforts than fingerprinting. By designing some novel enhanced methods for both ranging and positioning (including trilateration for stationary targets and particle filter for mobile targets), we are able to locate WiFi targets with high accuracy solely relying on radio signals and our proposed enhanced particle filter significantly outperforms the other commonly used range-based positioning algorithms, e.g., a traditional particle filter, extended Kalman filter and trilateration algorithms. In addition to using radio signals for passive positioning, we propose a second enhanced particle filter for active positioning to fuse inertial sensor and channel information to track indoor targets, which achieves higher tracking accuracy than tracking methods solely relying on either radio signals or inertial sensors.
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Thesis (Master's)--University of Washington, 2016-06
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Convergence of technologies in the Internet and the field of expert systems have offered new ways of sharing and distributing knowledge. However, there has been a general lack of research in the area of web-based expert systems (ES). This paper addresses the issues associated with the design, development, and use of web-based ES from a standpoint of the benefits and challenges of developing and using them. The original theory and concepts in conventional ES were reviewed and a knowledge engineering framework for developing them was revisited. The study considered three web-based ES: WITS-advisor - for e-business strategy development, Fish-Expert - for fish disease diagnosis, and IMIS - to promote intelligent interviews. The benefits and challenges in developing and using ES are discussed by comparing them with traditional standalone systems from development and application perspectives. © 2004 Elsevier B.V. All rights reserved.
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With advances in science and technology, computing and business intelligence (BI) systems are steadily becoming more complex with an increasing variety of heterogeneous software and hardware components. They are thus becoming progressively more difficult to monitor, manage and maintain. Traditional approaches to system management have largely relied on domain experts through a knowledge acquisition process that translates domain knowledge into operating rules and policies. It is widely acknowledged as a cumbersome, labor intensive, and error prone process, besides being difficult to keep up with the rapidly changing environments. In addition, many traditional business systems deliver primarily pre-defined historic metrics for a long-term strategic or mid-term tactical analysis, and lack the necessary flexibility to support evolving metrics or data collection for real-time operational analysis. There is thus a pressing need for automatic and efficient approaches to monitor and manage complex computing and BI systems. To realize the goal of autonomic management and enable self-management capabilities, we propose to mine system historical log data generated by computing and BI systems, and automatically extract actionable patterns from this data. This dissertation focuses on the development of different data mining techniques to extract actionable patterns from various types of log data in computing and BI systems. Four key problems—Log data categorization and event summarization, Leading indicator identification , Pattern prioritization by exploring the link structures , and Tensor model for three-way log data are studied. Case studies and comprehensive experiments on real application scenarios and datasets are conducted to show the effectiveness of our proposed approaches.
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The Juruá valley mesoregion is recognized for its diversity of cultivars of common beans and cowpea and is an important center for on farm bean conservation in Brazil. However, there is little information about production systems of Creoles cultivars and, in this approach, the study aimed to identify the production centers and to gather information about beans production systems. Thirty eight farmers and five merchants were interviewed using semi-structured questionnaries. Juruá valley farmers use three beans production systems: "beach farming", "slash burn system" and "stuffy farming". The systems use family labor with low dependence on external inputs, two classified as itinerant. The study identified two beans production centers: Alto Juruá extractive reserve and Santa Luzia directed settlement project.
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Digital X-ray detector technologies provide several advantages when compared with screen-film (SF) systems: better diagnostic quality of the radiographic image, increased dose efficiency, better dynamic range and possible reduction of radiation exposure to the patient. The transition from traditional SF systems to digital technology-based systems highlights the importance of the discussion around technical factors such as image acquisition, themanagement of patient dose and diagnostic image quality. Radiographers should be aware of these aspects concerning their clinical practice regarding the advantages and limitations of digital detectors. Newdigital technologies require an up-to-date of scientific knowledge concerning their use in projection radiography. This is the second of a two-part review article focused on a technical overview of digital radiography detectors. This article provides a discussion about the issues related to the image acquisition requirements and advantages of digital technologies, the management of patient dose and the diagnostic image quality.
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A Internet causou uma revolução em grande parte dos processos das empresas, criando oportunidades e gerando necessidades até então desconhecidas. Os Sistemas de Informação, ferramentas indispensáveis para uma gestão moderna das actividades empresariais, também foram influenciados pela evolução constante da tecnologia e as facilidades oferecidas para a popularização do uso da Internet. Rumo a uma crescente necessidade de modernização, rapidez, agilidade, eficiência e eficácia que são exigidos das actividades da empresa, actualmente, a tecnologia da Web é exibida como uma opção viável para melhorar o desempenho na gestão da informação. Esta Tese procura dissertar acerca dos aspectos relativos ao funcionamento e implementação de Serviços Web, suas principais características, vantagens e desvantagens comparativamente aos sistemas de informação tradicionais. Os objectivos propostos podem ser sintetizados no conhecimento e descrição das funcionalidades dos Serviços Web, no estudo da situação actual, na identificação das características que potenciam a capacidade de evolução dos Serviços Web, no estudo e desempenho dos Serviços Web, e finalmente, no estudo e análise da especificação Segurança.
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This thesis introduces a novel conceptual framework to support the creation of knowledge representations based on enriched Semantic Vectors, using the classical vector space model approach extended with ontological support. One of the primary research challenges addressed here relates to the process of formalization and representation of document contents, where most existing approaches are limited and only take into account the explicit, word-based information in the document. This research explores how traditional knowledge representations can be enriched through incorporation of implicit information derived from the complex relationships (semantic associations) modelled by domain ontologies with the addition of information presented in documents. The relevant achievements pursued by this thesis are the following: (i) conceptualization of a model that enables the semantic enrichment of knowledge sources supported by domain experts; (ii) development of a method for extending the traditional vector space, using domain ontologies; (iii) development of a method to support ontology learning, based on the discovery of new ontological relations expressed in non-structured information sources; (iv) development of a process to evaluate the semantic enrichment; (v) implementation of a proof-of-concept, named SENSE (Semantic Enrichment kNowledge SourcEs), which enables to validate the ideas established under the scope of this thesis; (vi) publication of several scientific articles and the support to 4 master dissertations carried out by the department of Electrical and Computer Engineering from FCT/UNL. It is worth mentioning that the work developed under the semantic referential covered by this thesis has reused relevant achievements within the scope of research European projects, in order to address approaches which are considered scientifically sound and coherent and avoid “reinventing the wheel”.
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This article presents the notion of the postmodern midwife, defining her as one who takes a relativistic stance toward bio-medicine and other knowledge systems, alternative and indigenous, moving fluidly between them to serve the women she attends. She is locally and globally aware, culturally competent, and politically engaged, working with the resources at hand to preserve midwifery in the interests of women. Her informed relativism is most accessible to professional midwives but is also beginning to characterize some savvy traditional midwives in various countries. Thus the concept of the postmodern midwife can serve as a bridge across the ethnic, racial, and status gaps that divide the professional from the traditional midwife, and as an analytical focal point for understanding how the members of each group negotiate their identities and their roles in a changing world.
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Teollisuuden automaatiojärjestelmät digitalisoituvat, samalla niiden tuottaman reaaliaikaisen datan määrä kasvaa ja etenkin sen saatavuus helpottuu. Samanaikaisesti laitevalmistajan liiketoimintamallit ovat muuttumassa perinteisestä konevalmistuksesta kohti palveluntarjontaa. Muuttuneessa tilanteessa laitteiden ohjauksessa käytettäviltä järjestelmiltä vaaditaan uusia ominaisuuksia. Informaation käsittely ja jalostaminen muodostuvat tärkeiksi kilpailu-tekijöiksi. Kirjallisuusosassa on tarkasteltu, miten data jalostuu informaatioksi ja siitä edelleen tietämykseksi. Työssä myös selvitetään, miten niitä voidaan hyödyntää liiketoiminnassa. Samalla perehdytään teollisuudesta löytyviin informaatio- ja tietämysjärjestelmiin. Kokeellisessa osassa esitellään toimiva tiedonkeruu- ja raportointijärjestelmä ja tutkitaan, miten sitä tulisi kehittää, jotta se sopisi paremmin muuttuviin liiketoimintamalleihin. Lopputuloksena kehitettiin mallijärjestelmä, jolla pystytään täyttämään laitevalmistajan ja loppukäyttäjän muuttuneet informaatiotarpeet osana laiteohjausta.
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Productivity and profitability are important concepts and measures describing the performance and success of a firm. We know that increase in productivity decreases the costs per unit produced and leads to better profitability. This common knowledge is not, however, enough in the modern business environment. Productivity improvement is one means among others for increasing the profitability of actions. There are many means to increase productivity. The use of these means presupposes operative decisions and these decisions presuppose informationabout the effects of these means. Productivity improvement actions are in general made at floor level with machines, cells, activities and human beings. Profitability is most meaningful at the level of the whole firm. It has been very difficult or even impossible to analyze closely enough the economical aspects of thechanges at floor level with the traditional costing systems. New ideas in accounting have only recently brought in elements which make it possible to considerthese phenomena where they actually happen. The aim of this study is to supportthe selection of objects to productivity improvement, and to develop a method to analyze the effects of the productivity change in an activity on the profitability of a firm. A framework for systemizing the economical management of productivity improvement is developed in this study. This framework is a systematical way with two stages to analyze the effects of productivity improvement actions inan activity on the profitability of a firm. At the first stage of the framework, a simple selection method which is based on the worth, possibility and the necessity of the improvement actions in each activity is presented. This method is called Urgency Analysis. In the second stage it is analyzed how much a certain change of productivity in an activity affects the profitability of a firm. A theoretical calculation model with which it is possible to analyze the effects of a productivity improvement in monetary values is presented. On the basis of this theoretical model a tool is made for the analysis at the firm level. The usefulness of this framework was empirically tested with the data of the profit center of one medium size Finnish firm which operates in metal industry. It is expressedthat the framework provides valuable information about the economical effects of productivity improvement for supporting the management in their decision making.
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Internet of Things or IoT is revolutionizing the world we are living in, similarly the way Internet and the web did few decades ago. It is changing how we interact with the things surrounding us. Electronic health and remote patient monitoring are the ways of utilizing these technological improvements towards the healthcare. There are many applications of IoT in eHealth such as, it will open the gate to provide healthcare to the remote areas of the world, where healthcare through traditional hospital systems cannot be provided. To connect these new eHealth IoT systems with the existing healthcare information systems, we can use the existing interoperability standards commonly used in healthcare information systems. In this thesis we implemented an eHealth IoT system based on Health Level 7 interoperability standard for continuous data transmission. There is not much previous work done in implementing the HL7 for continuous sensor data transmission. Some of the previous work was limited to sensors which are not continuous in nature and some of it is only theatrical architecture. This thesis aims to prove that it is possible to implement an eHealth IoT system by using sensors which require continues data transmission, such as respiratory sensors, and to connect it with the existing eHealth information system semantically by using HL7 interoperability standard. This system will be beneficial in implementing eHealth IoT systems for those patients, who requires continuous healthcare personal monitoring. This includes elderly people and patients, whose health need to be monitored constantly. To implement the architecture, HL7 v2.5 is selected due to its ease of implementation and low size. We selected some open source technologies because of their open licenses and large developer community. We will also review the most efficient technology available in every layer of eHealth IoT system and will propose an efficient system.
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Depuis la seconde moitié du 19e siècle, le paysage religieux guatémaltèque a subi d’importantes transformations. L’apparition et l’expansion phénoménale de nouveaux mouvements protestants ont entrainé une réorganisation progressive de l’espace religieux jusqu’alors homogène et déclenché l’affrontement idéologique de différents systèmes de croyances. Dans cette coexistence parfois tumultueuse, le chamanisme doit, à sa façon, lutter pour conserver une place de choix et éviter d’être relégué au passé. Par l’analyse de l’activité thérapeutique, ce mémoire vise la compréhension de la dynamique relationnelle chamanique/pentecôtiste. Le portrait du contexte religieux et l’historique des développements servent tout d’abord de base à l’étude des perceptions mutuelles entre chamanes, pasteurs et convertis. Cette dernière permet non seulement d’apporter un élément nouveau en se penchant sur la vision qu’ont développée curanderos et brujos à l’égard du pasteur pentecôtiste au sein du pluralisme médico-religieux guatémaltèque, mais permet également l’approfondissement et la compréhension de la perception dégradante et archaïsante de cette mouvance évangélique à l’égard des croyances ancestrales. Ce croisement des regards et l’observation des rituels curatifs respectifs m’amènent ainsi à considérer de près les prolongements entre ces deux univers à priori distincts alors que certaines continuations sur le plan thérapeutique sont perceptibles. L’enquête de terrain révèle finalement qu’en parallèle à ces opinions et concordances, des impacts négatifs sont engendrés sur les pratiques chamaniques, amenant les détenteurs du savoir traditionnel à opérer des modifications apparentes sur le plan de leurs propres pratiques rituelles et croyances en fonction du système de valeurs pentecôtiste.