927 resultados para Home environment


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With the fast development of the Internet, wireless communications and semiconductor devices, home networking has received significant attention. Consumer products can collect and transmit various types of data in the home environment. Typical consumer sensors are often equipped with tiny, irreplaceable batteries and it therefore of the utmost importance to design energy efficient algorithms to prolong the home network lifetime and reduce devices going to landfill. Sink mobility is an important technique to improve home network performance including energy consumption, lifetime and end-to-end delay. Also, it can largely mitigate the hot spots near the sink node. The selection of optimal moving trajectory for sink node(s) is an NP-hard problem jointly optimizing routing algorithms with the mobile sink moving strategy is a significant and challenging research issue. The influence of multiple static sink nodes on energy consumption under different scale networks is first studied and an Energy-efficient Multi-sink Clustering Algorithm (EMCA) is proposed and tested. Then, the influence of mobile sink velocity, position and number on network performance is studied and a Mobile-sink based Energy-efficient Clustering Algorithm (MECA) is proposed. Simulation results validate the performance of the proposed two algorithms which can be deployed in a consumer home network environment.

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In recent years, ZigBee has been proven to be an excellent solution to create scalable and flexible home automation networks. In a home automation network, consumer devices typically collect data from a home monitoring environment and then transmit the data to an end user through multi-hop communication without the need for any human intervention. However, due to the presence of typical obstacles in a home environment, error-free reception may not be possible, particularly for power constrained devices. A mobile sink based data transmission scheme can be one solution but obstacles create significant complexities for the sink movement path determination process. Therefore, an obstacle avoidance data routing scheme is of vital importance to the design of an efficient home automation system. This paper presents a mobile sink based obstacle avoidance routing scheme for a home monitoring system. The mobile sink collects data by traversing through the obstacle avoidance path. Through ZigBee based hardware implementation and verification, the proposed scheme successfully transmits data through the obstacle avoidance path to improve network performance in terms of life span, energy consumption and reliability. The application of this work can be applied to a wide range of intelligent pervasive consumer products and services including robotic vacuum cleaners and personal security robots1.

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This paper presents a novel mobile sink area allocation scheme for consumer based mobile robotic devices with a proven application to robotic vacuum cleaners. In the home or office environment, rooms are physically separated by walls and an automated robotic cleaner cannot make a decision about which room to move to and perform the cleaning task. Likewise, state of the art cleaning robots do not move to other rooms without direct human interference. In a smart home monitoring system, sensor nodes may be deployed to monitor each separate room. In this work, a quad tree based data gathering scheme is proposed whereby the mobile sink physically moves through every room and logically links all separated sub-networks together. The proposed scheme sequentially collects data from the monitoring environment and transmits the information back to a base station. According to the sensor nodes information, the base station can command a cleaning robot to move to a specific location in the home environment. The quad tree based data gathering scheme minimizes the data gathering tour length and time through the efficient allocation of data gathering areas. A calculated shortest path data gathering tour can efficiently be allocated to the robotic cleaner to complete the cleaning task within a minimum time period. Simulation results show that the proposed scheme can effectively allocate and control the cleaning area to the robot vacuum cleaner without any direct interference from the consumer. The performance of the proposed scheme is then validated with a set of practical sequential data gathering tours in a typical office/home environment.

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Background: Voice processing in real-time is challenging. A drawback of previous work for Hypokinetic Dysarthria (HKD) recognition is the requirement of controlled settings in a laboratory environment. A personal digital assistant (PDA) has been developed for home assessment of PD patients. The PDA offers sound processing capabilities, which allow for developing a module for recognition and quantification HKD. Objective: To compose an algorithm for assessment of PD speech severity in the home environment based on a review synthesis. Methods: A two-tier review methodology is utilized. The first tier focuses on real-time problems in speech detection. In the second tier, acoustics features that are robust to medication changes in Levodopa-responsive patients are investigated for HKD recognition. Keywords such as Hypokinetic Dysarthria , and Speech recognition in real time were used in the search engines. IEEE explorer produced the most useful search hits as compared to Google Scholar, ELIN, EBRARY, PubMed and LIBRIS. Results: Vowel and consonant formants are the most relevant acoustic parameters to reflect PD medication changes. Since relevant speech segments (consonants and vowels) contains minority of speech energy, intelligibility can be improved by amplifying the voice signal using amplitude compression. Pause detection and peak to average power rate calculations for voice segmentation produce rich voice features in real time. Enhancements in voice segmentation can be done by inducing Zero-Crossing rate (ZCR). Consonants have high ZCR whereas vowels have low ZCR. Wavelet transform is found promising for voice analysis since it quantizes non-stationary voice signals over time-series using scale and translation parameters. In this way voice intelligibility in the waveforms can be analyzed in each time frame. Conclusions: This review evaluated HKD recognition algorithms to develop a tool for PD speech home-assessment using modern mobile technology. An algorithm that tackles realtime constraints in HKD recognition based on the review synthesis is proposed. We suggest that speech features may be further processed using wavelet transforms and used with a neural network for detection and quantification of speech anomalies related to PD. Based on this model, patients' speech can be automatically categorized according to UPDRS speech ratings.

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Background: The purpose of this study was to identify the sources of waste generation household consisting of biological material and to investigate the knowledge presented by those responsible for the generation of waste in the home environment on the potential health risk human and environmental. Method. It is a quantitative survey performed in Parque Capuava, Santo André (SP). The questionnaire was administered by the community employers and nursing students during the consultation with nursing supervision through interview question/answer. The exclusion criteria were patients who were not in the area served by the Basic Health Unit which covers the area of Pq Capuava. The sample was consisted of 99 persons and the data collection a questionnaire was used. Results: We observed that 63.3% of people said to use disposables, with the majority (58.7%) of these use the public collection as the final destination of these materials. It was reported that 73.7% of those surveyed reported having knowledge about the risk of disease transmission. Public awareness of the importance of proper packaging and disposal of potentially hazardous household waste may contribute significantly to the preservation of human and environmental health and this procedure can be performed and supervised by professional nurses. Conclusion: We suggest implementation of workshops for community health workers and the general population in order to enhance their knowledge about the storage and disposal of potentially infectious waste generated at home, thereby reducing the potential risk of disease transmission by improper management. © 2013 Chaves et al.; licensee BioMed Central Ltd.

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We live in a world of chemicals. Unfortunately, some of the characteristics that make household chemical products the most useful are the same qualities that lead to trouble when these products are carelessly handled. A chemical stain or spot is a serious kind of stain that is appearing with increasing frequency and is different from ordinary stains. This type of discoloration or color is caused by a variety of chemical ingredients contains in dozens of common household products. This NebFact discusses the different chemical spots, stains and discolorations that are found in your home furnishings.

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Multimedia distribution through wireless networks in the home environment presents a number of advantages which have fueled the interest of industry in recent years, such as simple connectivity and data delivery to a variety of devices. Together with High-Definition (HD) contents, multimedia wireless networks have been proposed for several applications, such as IPTV and Digital TV distribution for multiple devices in the home environment. For these scenarios, we propose a multicast distribution system for High-Definition video over 802.11 wireless networks based on rate-limited packet retransmission. We develop a limited rate ARQ system that retransmits packets according to the importance of their content (prioritization scheme) and according to their delay limitations (delay control). The performance of our proposed ARQ system is evaluated and compared with a similarly rate-limited ARQ algorithm. The results show a higher packet recovery rate and improvements in video quality for our proposed system.

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The deployment of home-based smart health services requires effective and reliable systems for personal and environmental data management. ooperation between Home Area Networks (HAN) and Body Area Networks (BAN) can provide smart systems with ad hoc reasoning information to support health care. This paper details the implementation of an architecture that integrates BAN, HAN and intelligent agents to manage physiological and environmental data to proactively detect risk situations at the digital home. The system monitors dynamic situations and timely adjusts its behavior to detect user risks concerning to health. Thus, this work provides a reasoning framework to infer appropriate solutions in cases of health risk episodes. Proposed smart health monitoring approach integrates complex reasoning according to home environment, user profile and physiological parameters defined by a scalable ontology. As a result, health care demands can be detected to activate adequate internal mechanisms and report public health services for requested actions.

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Thesis (Master's)--University of Washington, 2016-06

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The development of language is a critical component of early childhood, enabling children to communicate their wishes and desires, share thoughts, and build meaning through linguistic interactions with others. A wealth of research has highlighted the importance of children’s early home experiences in fostering language development. This literature emphasizes the importance of a stimulating and supportive home environment in which children are engaged in literacy activities such as reading, telling stories, or singing songs with their parents. This study examined the association between low-income Latino immigrant mothers’ and fathers’ home literacy activities and their children’s receptive and expressive language skills. It also examined the moderating influence of maternal (i.e., reading quality and language quality) and child (engagement during reading, interest in literacy activities) characteristics on this association. This study included observational mother-child reading interactions, child expressive and receptive language assessments, and mother- and father-reported survey data. Controlling for parental education, multiple regression analyses revealed a positive association between home literacy activities and children’s receptive and expressive language skills. The findings also revealed that mothers’ reading quality and children’s engagement during reading (for expressive language skills only) moderated this association. Findings from this study will help inform new interventions, programs, and policies that build on Latino families’ strengths.

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Part 7: Cyber-Physical Systems

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O escopo deste trabalho buscou compreender as percepções de mulheres que passaram pela decisão do aborto provocadona Microrregião de São Mateus (norte do estado do Espírito Santo, Brasil), a partir do percurso e das interações que se sustentaram nesse processo. Foram realizadas entrevistas com roteiro semiestruturado com sete mulheres sobre essa experiência no ambiente domiciliar dos sujeitos do presente estudo. Os dados foram colhidos em entrevistas abertas e foram analisados à luz do referencial teórico de autores que discorrem acerca do tema e também acerca da ciência bioética.O estudo apresenta seis categorias: O aborto na perspectiva da decisão íntima; o aborto como fonte de revelações de sentimentos; o contemplar peremptório da atitude;técnicas empregadas na intencionalidade e no ato de abortar; sustentando a decisão pelas relações comunitárias; e conteúdos e confidências femininas. A experiência das mulheres foi marcada poruma diversidade de sentimentos, como tristeza, culpa, arrependimento, desespero e dor emocional, todavia, também, pelo alívio com o fim da gravidez e do risco de morte. Angústia adicional foi condicionadaa partir da percepção de fatores contribuintes da decisão, como falta de condições financeiras, falta de apoio da família ou do parceiro e instabilidade no relacionamento com parceiro. Este estudo também sinalizou que o caráter cultural e histórico da gestação, no sentido da norma social, faz-se presente nas mulheres que vivenciam o aborto provocado; demonstrou que as mulheres do presente estudo encontram-se à margem das políticas públicas e de saúde; assinalou que os programas de planejamento familiar ou de saúde reprodutiva deveriam ser estruturados de forma a ajudar também a lidar com problemas de destituição social, econômica e educacional dessa população vulnerada, no sentido de que essas mulheres ultrapassem a proteção social básica e sejam amparadas por serviços de saúde, que constituam espaços equânimes de escuta, orientação e resolução.

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According to the opinion of clinicians, emerging medical conditions can be timely detected by observing changes in the activities of daily living and/or in the physiological signals of a person. To accomplish such purpose, it is necessary to properly monitor both the person’s physiological signals as well as the home environment with sensing technology. Wireless sensor networks (WSNs) are a promising technology for this support. After receiving the data from the sensor nodes, a computer processes the data and extracts information to detect any abnormality. The computer runs algorithms that should have been previously developed and tested in real homes or in living-labs. However, these installations (and volunteers) may not be easily available. In order to get around that difficulty, this paper suggests the making of a physical model to emulate basic actions of a user at home, thus giving autonomy to researchers wanting to test the performance of their algorithms. This paper also studies some data communication issues in mobile WSNs namely how the orientation of the sensor nodes in the body affects the received signal strength, as well as retransmission aspects of a TDMA-based MAC protocol in the data recovery process.

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The invasive tendency of Psychodopygus intermedius in the home environment, observed initially by Forattini et al. (1976), has now been confirmed by the demonstration of its high endophilic ability and by the use of human residences for shelter. Populations such as Lutzomyia migonei and Pintomyia fischeri were also present in that environment, though their low densities registered during this investigation could be an indication of their poor ability to overcome the barriers raised by the artificial environment. An objective epidemiological analysis based on the variables here given showed that human infection takes place in the extraforest environment, and the principal vectorial function falls, without doubt, on P. intermedius.

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OBJETIVO: Avaliar as oportunidades presentes no ambiente domiciliar para o desenvolvimento motor de lactentes. MÉTODOS: Estudo epidemiológico de base populacional, transversal, realizado com 239 lactentes com idade entre três e 18 meses, residentes no município de Juiz de Fora, MG, em 2010. Os participantes foram selecionados por amostragem aleatória estratificada, conglomerada, em múltiplos estágios. Para avaliar a qualidade e quantidade de estímulo motor no ambiente domiciliar foi utilizado o instrumento Affordance in the Home Environment for Motor Development - Infant Scale. Procedeu-se a análise bivariada com aplicação do teste qui-quadrado, seguida de regressão logística multinomial para verificar a associação entre as oportunidades presentes no domicílio e fatores biológicos, comportamentais, demográficos e socioeconômicos. RESULTADOS: As oportunidades de estimulação ambiental foram relativamente baixas. Na análise bivariada, para a faixa etária de três a nove meses, foi encontrada associação com os fatores: ordem de nascimento (p = 0,06), classificação socioeconômica (p = 0,08), renda mensal (p = 0,06) e renda per capita (p = 0,03). No modelo de regressão, prevaleceu a classificação socioeconômica (RC = 7,46; p = 0,03). Para a faixa etária de dez a 18 meses, os fatores associados, na análise bivariada, foram: estado civil materno (p < 0,01), convívio da criança com o pai (p = 0,08), chefe da família (p = 0,04), número de pessoas no domicílio (p = 0,05), escolaridade materna (p < 0,01) e paterna (p < 0,01), classificação socioeconômica (p < 0,01) e renda per capita (p = 0,03). No modelo de regressão, o estado civil materno (RC = 4,83; p = 0,02), escolaridade materna (RC = 0,29; p = 0,03) e paterna (RC = 0,33; p = 0,04) permaneceram associados às oportunidades de estimulação ambiental. CONCLUSÕES: A união estável dos pais, maior escolaridade materna e paterna e maior nível econômico foram os fatores associados às melhores oportunidades de estimulação motora no lar.