Aiming at the high false alarm rate when using single sensor to detect fire in aircraft cabin, a multisensor data fusion method is proposed to detect fire. First, the weights of multiple factors, that is, temperature, smoke concentration, CO concentration, and infrared ray intensity in the event of fire, were calculated by using the improved analytic hierarchy process method on each sensor node of wireless sensor network, and the probability of fire event in the cabin was evaluated by multivariable-weighted (...) fusion method. Second, based on the mutual support among the evaluation data of fire probabilities of each node, the adaptive weight coefficient is assigned to each evaluation value, and the weighted fusion of all evaluation values of each node is conducted to obtain the fire probability. In the end, compared to the threshold of probability, the fire alarm is determined. Comparing the proposed algorithm to the grey fuzzy neural network fusion algorithm and fuzzy logic fusion algorithm in terms of the time consumption for fire detection and sending alarm and the accuracy of fire alarm perspectives, the experiments demonstrate that the proposed fire detection algorithm can detect the fire within 10s and reduce the false alarm rate to less than 0.5%, which verifies the superiority of the algorithm in promptness and accuracy. In the meanwhile, the fault tolerance of the algorithm is proved as well. (shrink)

The purpose of this article is to examine the tenets of expressionism as developed by robin collingwood and phenomenology as developed by eugene kaelin, for the ways in which they may be combined to analyze the process and products of art. the concept of expression is found to be of value in determining the nature of the process in making an art object, while phenomenology in terms of imagination, perception and "context of significance," are found to be useful in analysis (...) of the product once finished. these two domains are suggested as a philosophic base for programs in aesthetic education. (shrink)

A bracing and ambitious work of practical philosophy, tightly argued and beautifully written.

This editorial examines how sensing practices are transforming through proliferating sensor technologies and altered sensing relations. Rather than engage with sensing as a project of the human mind or body as usually delineated within sensory classifications, this overview of sensors and sensing practices documents how sensing entities are emerging that are composed of shifting ensembles of multiple humans and more-than-humans, environments and technologies, politics and practices. By decoupling sensing from its exclusive human orientation, the editorial and collection demonstrate how (...) reworked approaches to sensing make it possible to tune in to how involvement with environmental problems unfolds and endures. The collection asks how sensing practices might be crafted that attend to the distributed and accumulative inequalities of environmental problems and to speculate toward differential collectives for addressing environmental crisis and change. (shrink)

Visions of an interconnected future are on the rise that foresee technologies moving toward ubiquitous "everywhere" computing and the rise of the "Internet of Things." This article examines emerging trends in informational connectivity that indicates shifts toward upcoming scenarios of re-imagined geographies and spatial landscapes that are sensored and networked. I examine how the relationships, processes, and flows between people, physical objects, and the environment will make implicit information explicit and engagement between the physical and the digital more commonplace. These (...) are the scenarios presented by emerging applications of location-specific, informationally augmented objects: a real-time sensored future. (shrink)

Based on an ethnographic study in a Danish residential care center, this article shows how the interplay of a sensor-floor technology and currently influential values of person-centeredness, privacy, and security in care transforms care work and care interactions between residents and care workers. Based on an understanding of care as realized in a heterogeneous collective of human and nonhuman actors, this article illustrates how new modes of monitoring and interpreting residents’ care needs at a distance arise, and how a new (...) organization of work focusing on quick and responsive care is established. These new care practices lead to conflicts between the values of privacy and security, to ambivalent experiences among care workers of simultaneously increased security and insecurity in work, and, paradoxically, also often to a decentering rather than person-centering of care. Instead of accommodating simultaneous compliance to the values of privacy, security, and person-centeredness, the use of the sensor-floors makes the tensions between these values continuously and loudly present in daily care practices. (shrink)

Sensor-based data are becoming increasingly widespread in social, behavioral and organizational sciences. Far from providing a neutral window on 'reality', sensor-based big-data are highly complex, constructed data sources. Nevertheless, a more systematic approach to the validation of sensors as a method of data collection is lacking, as their use and conceptualization have been spread out across different strands of social-, behavioral- and computer science literature. Further debunking the myth of raw data, the present article argues that, in order to (...) validate sensor-based data, researchers need to take into account the mutual interdependence between types of sensors available on the market, the conceptual (construct) choices made in the research process, and the contextual cues. Sensor-based data in research are usually combined with additional quantitative and qualitative data sources. However, the incompatibility between the highly granular nature of sensor data and the static, a-temporal character of traditional quantitative and qualitative data has not been sufficiently emphasized as a key limiting factor of sensor-based research. It is likely that the failure to consider the basic quality criteria of social science measurement indicators more explicitly may lead to the production of insignificant results, despite the availability of high volume and high-resolution data. The paper concludes with recommendations for designing and conducting mixed methods studies using sensors. (shrink)

Some cognitive processes appear to have “phenomenal” properties that are directly revealed to the subject and not determined by physical properties. I suggest that the source of this appearance is the method by which our brain processes sensory information. The appearance is an illusion. Nonetheless, we are not mistaken when we judge that people sometimes fee lpain.

A mass balance based model has been derived to represent the dynamical behavior of the ecosystem contained in an anaerobic digester. The model considers two bacterial populations: acidogenic and methanogenic bacteria. It forms the basis for the design of a software sensor considering both a model of the biological system and on-line gaseous measurements. The software sensor computes the concentration of inorganic carbon and volatile fatty acids (VFA) in the digester. Another software sensor is dedicated to the estimation of the (...) bacterial biomasses. The predictions of the software sensors for a real experiment are very close to the actual off-line measurements. The software sensors monitor the accumulation of VFA and thus very early detect a destabilization of the digester due to overloading. The presented methodology demonstrates the usefulness of advanced monitoring techniques for an improved understanding of the internal working of a biological system. (shrink)

We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new kinds of (...) situations and thematic roles, (e.g., roles such as agent, patient and instrument), based on new compositions of existing representations. We applied our prototype in an intelligence analysis use case to test the hypothesis that a framework of this sort can produce usefully structured information from combined natural language and sensor data inputs. We further tested our hypothesis by adding an enhanced US Air Force ontology framework to our ODIS in order to (1) process a collection of sensor data, intel reports, and mission plans; (2) build composite POR representations from these data; and (3) machine analyze the fused results to infer mission threats. (shrink)

Computational intelligence techniques are being investigated as an extension of the traditional fault diagnosis methods. This article presents, for the first time, a scheme for fault detection and isolation via artificial neural networks and fuzzy logic. It deals with the sensor fault of a three-link selective compliance assembly robot arm robot. A second scheme is proposed for fault detection and accommodation via analytical redundancy, and it deals with the sensor fault of a three-link SCARA robot. These proposed FDI approaches are (...) implemented on Matlab/simulink software and tested under several types of faults. The results show the importance of this process. Then, the sensor faults are detected and isolated successfully. Also, the actuator faults are detected and a fault tolerance strategy is used for reconfigurable control using a sliding-mode observer. (shrink)

A suite of technological advances based on nanotechnology has received substantial attention for its potential to affect privacy. Reports of the National Nanotechnology Initiative have recognized that the societal implications of nanotechnology will include better surveillance and information-gathering technologies. A variety of academic and popular publications have explained the potential effects of nanotechnology on privacy.The ways in which nanotechnology might affect privacy are varied. It may make current information technology better, make old information-gathering techniques more reliable, or expand information-gathering into (...) novel areas. My focus in this paper is on the privacy effects of one potential application of nanotechnology: sensors capable of detecting weapons agents or drugs—"nanosensors" or "sensors" for short. Nanotechnology may make possible small, accurate, and easy-to-use sensors to detect a variety of substances, including Chemical, Biological, Radiological, and Explosive agents , as well as drugs. Analyzing the potential effects on privacy of sensors can provide important insights into the nature and extent of privacy rights. (shrink)

Timers and sensors are common devices that make our daily life safer, more convenient, and more efficient. In a cellular context, they arguably play an even more crucial role as they ensure the survival of cells in the presence of various extrinsic and intrinsic stresses. Biological timers and sensors generate distinct signaling profiles, enabling them to produce different types of cellular responses. Recent data suggest that they can work together to guarantee correct timing and responsiveness. By exploring examples (...) of cellular stress signaling from mitosis, DNA damage, and hypoxia, the authors discuss the common architecture of timer‐sensor integration, and how its added features contribute to the generation of desired signaling profiles when dealing with stresses of variable duration and strength. The authors propose timer‐sensor integration as a widespread mechanism with profound biological implications and therapeutic potential. -/- . (shrink)

Path selection is one of the key technologies of wireless sensor network. A reasonable choice of coverage path can improve the service quality of WSN and extend the life cycle of WSN. Biogeography-based optimization is widely used in the field of cluster intelligent optimization because its search method has a better incentive mechanism for population evolution. In this paper, the move-in and move-out operation and mutation operation of the BBO algorithm enable WSN to find an efficient routing path. In this (...) paper, simulation experiments are carried out in two scenarios of regular deployment and random deployment of WSN nodes. The experimental results show that the quality of the WSN coverage path solution optimized by the BBO algorithm in the two scenarios is better than that of the particle swarm algorithm and genetic algorithm. (shrink)

At metaphase in mitotic cells, pulling forces at the kinetochore‐microtubule interface create tension by stretching the centromeric chromatin between oppositely oriented sister kinetochores. This tension is important for stabilizing the end‐on kinetochore microtubule attachment required for proper bi‐orientation of sister chromosomes as well as for satisfaction of the Spindle Assembly Checkpoint and entry into anaphase. How force is coupled by proteins to kinetochore microtubules and resisted by centromere stretch is becoming better understood as many of the proteins involved have been (...) identified. Recent application of genetically encoded fluorescent tension sensors within the mechanical linkage between the centromere and kinetochore microtubules are beginning to reveal – from live cell assays – protein specific contributions that are functionally important. (shrink)

Aiming at the shortcomings of traditional moving target detection methods in complex scenes such as low detection accuracy and high complexity, and not considering the overall structure information of the video frame image, this paper proposes a moving-target detection based on sensor network. First, a low-power motion detection wireless sensor network node is designed to obtain motion detection information in real time. Secondly, the background of the video scene is quickly extracted by the time domain averaging method, and the video (...) sequence and the background image are channel-merged to construct a deep full convolutional network model. Finally, the network model is used to learn the deep features of the video scene and output the pixel-level classification results to achieve moving target detection. This method not only can adapt to complex video scenes of different sizes but also has a simple background extraction method, which effectively improves the detection speed. (shrink)

Automatized scalable healthcare support solutions allow real-time 24/7 health monitoring of patients, prioritizing medical treatment according to health conditions, reducing medical appointments in clinics and hospitals, and enabling easy exchange of information among healthcare professionals. With recent health safety guidelines due to the COVID-19 pandemic, protecting the elderly has become imperative. However, state-of-the-art health wearable device platforms present limitations in hardware, parameter estimation algorithms, and software architecture. This paper proposes a complete framework for health systems composed of multi-sensor wearable health (...) devices, high-resolution parameter estimation, and real-time monitoring applications. The framework is appropriate for real-time monitoring of elderly patients' health without physical contact with healthcare professionals, maintaining safety standards. The hardware includes sensors for monitoring steps, pulse oximetry, heart rate, and temperature using low-power wireless communication. In terms of parameter estimation, the embedded circuit uses high-resolution signal processing algorithms that result in an improved measure of the HR. The proposed high-resolution signal processing-based approach outperforms state-of-the-art HR estimation measurements using the photoplethysmography sensor. (shrink)

Information technology is widely used to fulfill societal goals such as safety and security. These application areas put ever changing demands on the functionality of the technology. Designing technological appliances to be reconfigurable, thereby keeping them open to functionalities yet to be determined, will possibly allow the technology to fulfill these changing demands in an efficient way. In this paper we present a first exploration of potential societal and moral issues of reconfigurable sensors developed for application in the safety (...) and security domain, in the context of a large scale R&D-project in the Netherlands. We discuss the subtle distinction between the relevant notions of reconfigurability, function creep, and unrestricted or unforeseen technological affordances. We argue that the feature of reconfigurability makes context of use the central issue in the assessment of the societal and moral impact of the technology. It follows that the design of good policies for new application contexts has to be central in a value sensitive design approach to reconfigurable technology. (shrink)

This article presents a formal theory of robot perception as a form of abduction. The theory pins down the process whereby low‐level sensor data is transformed into a symbolic representation of the external world, drawing together aspects such as incompleteness, top‐down information flow, active perception, attention, and sensor fusion in a unifying framework. In addition, a number of themes are identified that are common to both the engineer concerned with developing a rigorous theory of perception, such as the one on (...) offer here, and the philosopher of mind who is exercised by questions relating to mental representation and intentionality. (shrink)

"A arte que servisse para enaltecer a grandeza dos senhores e mostrar a baixeza dos escravos estava aí dentro dos padrões da “veritas aestheticologica”. Isso pode ser comprovado em Aristófanes e Plauto, como em Homero e Platão. O cristianismo contrapôs a tese de que todos os humanos teriam alma, mas soube conviver com a escravidão durante séculos, inclusive sacramentando-a como vontade divina (baseando na suposta maldição de Noé). Baudelaire fez, porém, no poema sobre “A raça de Caim”, a inversão do (...) discurso bíblico. Quando se fala sobre a escravidão antiga, parece que o problema não nos afeta: nosso “correto” não vê o assalariado, o desempregado e quem vive de bicos como escravos modernos, mais baratos que os antigos. Não nos preocupamos com o que incomoda. [...]. (shrink)

Wearable sensors are an integral part of the new telemedicine concept supporting the idea that Information Technologies will improve the quality and efficiency of healthcare. The use of sensors in diagnosis, treatment and monitoring of patients not only potentially changes medical practice but also one’s relationship with one’s body and mind, as well as the role and responsibilities of patients and healthcare professionals. In this paper, we focus on knowledge assessment of the online communities of Fitbit and the (...) Quantified Self movement. Through their online forums, we investigate how users’ knowledge claims, shared experiences and imaginations about wearable sensors interrogate or confirm the narratives through which they are introduced to the publics. Citizen initiatives like the Quantified Self movement claim the right to ‘own’ the sensor generated data. But how these data can be used through traditional healthcare systems is an open question. More importantly, wearable sensors trigger a social function that is transformative of the current idea of care and healthcare, focused on sharing, socialising and collectively reflecting about individual problems. Whether this is aligned with current policy making about healthcare, whose central narrative is focused on efficiency and productivity, is to be seen. (shrink)

Smart cities build on the idea of collecting data about the city in order for city administration to be operated more efficiently. Within a research project gathering an interdisciplinary team of researchers – engineers, designers, gender scholars and human geographers – we have been working together using participatory design approaches to explore how paying attention to the diversity of human needs may contribute to making urban spaces comfortable and safe for more people. The project team has deployed sensors collecting (...) data on air quality, sound and mobility in a smart city testbed in Norrköping, Sweden. While these sensors are meant to capture an accurate ‘map’ of the street and what is going on along it, our interdisciplinary conversations around the sensors have revealed the heterogeneity both of smart city planning and spatial formulations of the city. The discussions have given rise to questions regarding the work that goes into constructing the sensor box itself, as well as the work of deploying it, and how these influence the ‘map’ that the sensors produce. In this paper, we draw on Lefebvre to explore how the sensors themselves produce smart spaces. We analyze how the box depends on perceived space to function (e.g. requiring electricity), and simultaneously it produces conceptualizations of space that are influenced by the materiality of the box itself (e.g. sensors being affected by heat and noise). Further, we explore how the (in)visibility of sensor technology influences lived space. (shrink)

While sustainability in farming is increasingly recognised, practical implementation faces obstacles, including knowledge gaps that hinder farmers’ effective adaptation. Agricultural sensors have emerged as tools to assist farmers in offering real-time monitoring capabilities, which can provide information to support decision-making towards sustainable crop production. However, critical analyses point out that innovation in agricultural equipment predominantly focuses on optimising the dominant intensification model, while sensors might also facilitate biodiversity-based strategies toward agricultural sustainability, which aim to replace chemical inputs through (...) intensified ecological interactions. In this article, we examine the intricate relationship between technology and practice, recognising that the functionality of sensors is contingent upon the user, manner of use, and implementation context. We employ social practice theory to examine farmers’ current sensor usage and broader sensing practices in farming system strategies that align either more with efficiency/substitution-based or with biodiversity-based approaches toward agricultural sustainability. Through this approach, we elucidate how sensors and sensing practices contribute to knowledge production and management in both farming systems. Drawing on 11 semi-structured interviews with Dutch farmers, we identify diverse sensing practices that can enable different types of knowledge: oversight—enabling farmers to optimise the efficiency of production—and insight—offering a holistic and long-term understanding of ecological relations and how they affect production. We conclude by discussing the implications of these sensing practices and types of knowledge for strategies for agricultural sustainability. (shrink)

Dynamic vision sensor is a kind of bioinspired sensor. It has the characteristics of fast response, large dynamic range, and asynchronous output event stream. These characteristics make it have advantages that traditional image sensors do not have in the field of tracking. The output form of the dynamic vision sensor is asynchronous event stream, and the object information needs to be provided by the relevant event cluster. This article proposes a method based on the event correlation index to obtain (...) the object’s position, contour, and other information and is compatible with traditional tracking methods. Experiments show that this method can obtain the position information of the moving object and its continuous motion trajectory and analyze the influence of the parameters on the tracking effect. This method will have broad application prospects in security, transportation, etc. (shrink)

—Industrial networks are increasingly based on open protocols and platforms that are also employed in the IT industry and Internet background. Most of the industries use wireless networks for communicating information and data, due to high cable cost. Since, the wireless networks are insecure, it is essential to secure the critical information and data during transmission. The data that transmitted is intercepted by eavesdropper can be predicted by secrecy capacity. The secrecy capacity is the difference between channel capacity of main (...) link and wiretap link of wireless transmission. When the secrecy capacity gets fades, then it is known that transmitted data is intercepted. In the event, of applying optimal sensor scheduling scheme a sensor with highest secrecy capacity is chosen and data is transmitted. It is followed with cooperative localization algorithm to enhance nodes, predict and maintain power of each sensor nodes. Through localization algorithm best sensor nodes are get predicted for transmission. Moreover, RC4 encryption and decryption algorithm is enhanced for data while transmission. This will enable protection to data to an extent. Also, an asymptotic intercept probability analysis is performed to provide an imminent into the impact of the sensor scheduling on the wireless security. (shrink)

This article deals with detection and accommodation of sensor faults in longitudinal dynamics of an F8 aircraft model. Both the detection of the fault and reconfiguration of the failed sensor are done with the help of neural network-based models. Detection of a sensor fault is done with the help of knowledge-based neural network fault detection. Apart from KBNNFD, another neural network model is developed in this article for the reconfiguration of the failed sensor. A model-based approach of the neural network (...) is developed, which uses the radial basis function of the neural network. MBNN successfully does the task of providing analytical redundancy for the aircraft sensor. In this work, both detection and reconfiguration of a fault is done using neural networks. Hence, the control system becomes robust for handling sensor failures near steady state and reconfiguration is also faster. A generalized regression neural network, which is a type of radial basis network, is used for MBNN, which gives very efficient results for function approximation. An F8 aircraft model and C-Star controller, which improves its handling quality, are used for validation of the method involved. Models of F8 aircraft, C-Star controller, KBNNFD, and MBNN were developed using MATLAB/simulink. Successful implementation and simulation results are shown and discussed using Simulink. (shrink)

Promyelocytic leukaemia nuclear bodies (PML NBs) are generally present in all mammalian cells, and their integrity correlates with normal differentiation of promyelocytes. Mice that lack PML NBs have impaired immune function, exhibit chromosome instability and are sensitive to carcinogens. Although their direct role in nuclear activity is unclear, PML NBs are implicated in the regulation of transcription, apoptosis, tumour suppression and the anti‐viral response. An emerging view is that they represent sites where multi‐subunit complexes form and where post‐translational modification of (...) regulatory factors, such as p53, occurs in response to cellular stress. Following DNA damage, several repair factors transit through PML NBs in a temporally regulated manner implicating these bodies in DNA repair. We propose that PML NBs are dynamic sensors of cellular stress, which rapidly disassemble following DNA damage into large supramolecular complexes, dispersing associated repair factors to sites of damage. The dramatically increased total surface area available would enhance interactions between PML‐associated factors regulating DNA repair and apoptosis. BioEssays 26:963–977, 2004. © 2004 Wiley Periodicals, Inc. (shrink)

As the demand for prosthetic limbs with reliable and multi-functional control increases, recent advances in myoelectric pattern recognition and implanted sensors have proven considerably advantageous. Additionally, sensory feedback from the prosthesis can be achieved via stimulation of the residual nerves, enabling closed-loop control over the prosthesis. However, this stimulation can cause interfering artifacts in the electromyographic (EMG) signals which deteriorate the reliability and function of the prosthesis. Here, we implement two real-time stimulation artifact removal algorithms, Template Subtraction (TS) and (...) ε-Normalized Least Mean Squares (ε-NLMS), and investigate their performance in offline and real-time myoelectric pattern recognition in two transhumeral amputees implanted with nerve cuff and EMG electrodes. We show that both algorithms are capable of significantly improving signal-to-noise ratio (SNR) and offline pattern recognition accuracy of artifact-corrupted EMG signals. Furthermore, both algorithms improved real-time decoding of motor intention during active neurostimulation. Although these outcomes are dependent on the user-specific sensor locations and neurostimulation settings, they nonetheless represent progress toward bi-directional neuromusculoskeletal prostheses capable of multifunction control and simultaneous sensory feedback. (shrink)

Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show (...) that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data. (shrink)

Background: Smart sensors have been developed as diagnostic tools for rehabilitation to cover an increasing number of geriatric patients. They promise to enable an objective assessment of complex movement patterns. -/- Objective: This research aimed to identify and analyze the conflicting ethical values associated with smart sensors in geriatric rehabilitation and provide ethical guidance on the best use of smart sensors to all stakeholders, including technology developers, health professionals, patients, and health authorities. -/- Methods: On the basis (...) of a systematic literature search of the scientific databases PubMed and ScienceDirect, we conducted a qualitative document analysis to identify evidence-based practical implications of ethical relevance. We included 33 articles in the analysis. The practical implications were extracted inductively. Finally, we carried out an ethical analysis based on the 4 principles of biomedical ethics: autonomy, beneficence, nonmaleficence, and justice. The results are reported in categories based on these 4 principles. -/- Results: We identified 8 conflicting aims for using smart sensors. Gains in autonomy come at the cost of patient privacy. Smart sensors at home increase the independence of patients but may reduce social interactions. Independent measurements performed by patients may result in lower diagnostic accuracy. Although smart sensors could provide cost-effective and high-quality diagnostics for most patients, minorities could end up with suboptimal treatment owing to their underrepresentation in training data and studies. This could lead to algorithmic biases that would not be recognized by medical professionals when treating patients. -/- Conclusions: The application of smart sensors has the potential to improve the rehabilitation of geriatric patients in several ways. It is important that patients do not have to choose between autonomy and privacy and are well informed about the insights that can be gained from the data. Smart sensors should support and not replace interactions with medical professionals. Patients and medical professionals should be educated about the correct application and the limitations of smart sensors. Smart sensors should include an adequate representation of minorities in their training data and should be covered by health insurance to guarantee fair access. (shrink)

Bacteria have a significant impact on human production and life, endangering human life and health, so rapid detection of infectious agents is essential to improve human health. Aptamers, which are pieces of oligonucleotides (DNA or RNA) have been applied to biosensors for bacteria detection due to their high affinity, selectivity, robust chemical stability, and their compatibility with various signal amplification and signal transduction mechanisms. In this review, we summarize the different bacterial aptamers selected in recent years using SELEX technology and (...) discuss the differences in optical and electrochemical bacterial aptamer sensors. In addition the technological developments and innovations in bacterial aptamer sensor technology are introduced. Combining new materials and methods, the efficiency and stability of the sensors have also been improved. This review summarizes the progress of current bacterial aptamer sensors based on their practical application status and provides an outlook on their future development. (shrink)

Para las empresas recolectoras de residuos sólidos es indispensable controlar los factores de riesgos asociados a la calidad del aire del entorno laboral de sus empleados con el objetivo de minimizar las afecciones de salud de sus trabajadores. El propósito del estudio es desarrollar un prototipo de un sensor inalámbrico de medición de calidad de aire. Este instrumento de medición será implementado en ambientes laborales para trabajadores de recolección de residuos sólidos. A partir del estudio se concluye que para empresas (...) de este sector es indispensable el control de factores de riesgos asociados a la exposición a gases y vapores. (shrink)

Reliable data transfer and energy efficiency are the essential considerations for network performance in resource-constrained underwater environments. One of the efficient approaches for data routing in underwater wireless sensor networks (UWSNs) is clustering, in which the data packets are transferred from sensor nodes to the cluster head (CH). Data packets are then forwarded to a sink node in a single or multiple hops manners, which can possibly increase energy depletion of the CH as compared to other nodes. While several mechanisms (...) have been proposed for cluster formation and CH selection to ensure efficient delivery of data packets, less attention has been given to massive data communication processes with sink node. As such, failure in communicating nodes would lead to a significant network void-holes problem. Considering the limited energy resources of nodes in UWSNs along with the heavy load of CHs in the routing process, this paper proposes a void-holes aware and reliable data forwarding strategy (VHARD-FS) in a proactive mode to control data packets delivery from CH nodes to the sink in UWSNs. In the proposed strategy, each CH node is aware of its neighbor’s performance ranking index to conduct a reliable packet transmission to the sink via the most energy-efficient route. Extensive simulation results indicate that the VHARD-FS outperforms existing routing approaches while comparing energy efficiency and network throughput. This study helps to effectively alleviate the resource limitations associated with UWSNs by extending network life and increasing service availability even in a harsh underwater environment. (shrink)

In this study, we propose the Ankle-Worn Sensor Sleeve to help people maintain their health. Furthermore, our approach uses this sensor sleeve to improve walking motivation by making the walking motion more sensible. In this research, we pursue the design of a wearable device that users can wear as a “shoe accessory,” with the aim of promoting people’s walking motivation. This device is ankle-worn and generates electricity using the physical flexion and extension of the ankle, detects and acquires the amount (...) of electricity generated, and uses the resulting power to produce sound and light feedback while walking. The Sleeve is designed to support health problems, such as locomotive syndrome and dementia, which are caused by physical inactivity. This article presents the results of a questionnaire survey conducted on 172 people who experienced or observed the device during exhibitions. The results reveal that this device increased people’s interest and motivation to walk, including those who did not like to walk. (shrink)