4 research outputs found

    Implementasi Protokol CoAP pada Smart Building Berbasis OpenMTC

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    Pada tugas akhir ini, dilakukan penelitian mengenai komunikasi pada smart building, dengan mengaplikasikan protokol CoAP dalam platform middleware M2M OpenMTC yang sebelumnya memiliki protokol standar, yaitu HTTP. Protokol CoAP berperan dalam komunikasi antara sensor atau device application dan GSCL OpenMTC. Pengujian kinerja dilakukan dengan pengiriman data sensor sebesar 10, 100, dan 1000 dan ditentukan dengan parameter analisis delay, throughput, dan overhead protokol. jumlah tersebut dinilai mewakili banyaknya data sensor pada suatu bangunan. Hasil dari pengujian dan analisis menunjukan bahwa protokol CoAP memiliki delay yang lebih rendah, throughput yang lebih stabil ketika data sensor menuju 1000, serta protokol CoAP memiliki overhead sekitar 50% lebih rendah dibandingkan dengan protokol HTTP. Kata kunci : CoAP, OpenMTC, HTTP, Smart building, Kinerja

    Sistem Monitoring Kebisingan Lingkungan Pendidikan berbasis OpenMTC

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    Paper ini mengusulkan sistem monitoringkebisingan pada lingkungan pendidikan dengan komunkasiMachine-to-Machine (M2M) berbasis OpenMTC. Kebisingan padalingkungan pendidikan menimbulkan kondisi tidak nyaman danberdampak pada kesehatan, baik secara fisik maupun psikologi.Tingkat kebisingan tertentu dapat menurunkan konsentrasi pesertadidik dan berkorelasi dengan pencapaian pembelajaran. Sistemmonitoring kebisingan ini sebagai solusi awal untuk mendeteksitingkat kebisingan di lingkungan pendidikan. Sistem dibagimenjadi tiga bagian, yaitu sensor, aplikasi dan aktuator denganmodel komunikasi berbasis platform M2M OpenMTC. Sensorberfungsi untuk membaca intensitas suara pada lingkungan.Mikrokontroller dirancang untuk proses pengiriman data darisensor ke platform M2M OpenMTC melalui gateway. Komunikasiantar mikrokontroller pada sistem ini menggunakan protokolZigbee. Hasil pengujian menunjukan bahwa sistem monitoringkebisingan berbasis M2M dapat berjalan efektif dengan wakturespon sistem rata-rata sebesar 3,4 detik.Keywords— M2M, kebisingan, Zigbee, sensor, OpenMT

    Medical application of the Internet of Things (IoT): prototyping a telemonitoring system

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    The Internet of Things (IoT) is a technological paradigm that can be perceived as an evolution of the internet. It is a shift from the traditional way of connecting devices to the internet, both in number and diversity of connected devices. This significant and marked growth in the number and diversity of devices connected to the internet has prompted a rethink of approaches to interconnect devices. The growth in the number of connected devices is driven by emerging applications and business models and supported by falling device costs while the growth in the diversity is driven by the reduction in the cost of manufacturing these devices. This has led to an increase in the number of users (not limited to people) of the internet. According to statistics by the ITU, by the end of 2015, about 3.2 billion people were using the Internet. Significantly, 34% of households in developing countries had Internet access, with more than 80% of households in developed countries. This indicates that it is realistic to leverage the IoT in living spaces. Appreciating this potential, many sectors of society are already positioning themselves to reap the benefits of this great promise. Hence the health sector would do well to adopt this technological paradigm to enhance service delivery. One specific area where the health sector can benefit from the adoption of the IoT is in telemonitoring and the associated early response to medical emergencies. Statistics and research show that there are areas in the medical field, that still need improvement to enhance service delivery. The Nursing Times has summed up these areas into four categories. The first one is a need to have a regular observation of patients and their vital signs. Here, health service providers (SPs) need to adopt creative and non-obtrusive methods that will encourage patients' participation in the monitoring of these vital signs. As much as possible, vital signs readings should be taken at convenient locations and times. Therefore, devices that have consistent internet access and are usually a part of daily life for most patients, such as the mobile phones would prove to be a key enabler of regular observation of vital signs. Furthermore, miniaturization of the vital signs monitoring or sensing devices would be a key step towards realizing this scenario. A lot of work is already being done to miniaturize these devices and make them as much a part of daily life as possible, as evidenced by advancements in the field of fitness and wearables. To map this use to the medical field, a system needs to be created that would allow for the aggregation of these disparate measuring and monitoring devices with medical information management systems. The second potential area of improvement is in the early recognition of deterioration of the patients. With regular observation of patients, it is possible to recognize deterioration at its early stage. Taking cognizance of the different needs of the various stakeholders is important to achieve the intended results. The third potential area of improvement is in the communication among stakeholders. This has to do with identifying the relevant data that must be delivered to the stakeholders during the monitoring and management process. Lastly, effective response to medical concerns is the other potential area of improvement. It is noted that patients do not generally get the right response at the right time because the information does not reach the rightly qualified personnel in good time. The regular and real-time capture of vital signs data coupled with added analytics can enable IoT SPs to design solutions that automate the management and transmission of medical data in a timely manner. This work addresses how the medical sector can adopt IoT-based solutions to improve service delivery, while utilizing existing resources such as smartphones, for the transmission and management of vital signs data, availing it to stakeholders and improve communication among them. It develops a telemonitoring system based on IoT design approaches. The developed system captures readings of vital signs from monitoring devices, processes and manages this data to serve the needs of the various stakeholders. Additionally, intelligence was added to enable the system to interpret the data and make decisions that will help medical practitioners and other stakeholders (patients, caregivers, etc.) to more timely, consistently and reliably provide and receive medical services/assistance. Two end user applications were developed. A cloud-based web application developed using PHP, HTML, and JavaScript and an Android mobile application developed using Java programming language in Android studio. An ETSI standards-compliant M2M middleware is used to aggregate the system using M2M applications developed in Python. This is to leverage the benefits of the standards-compliant middleware while offering flexibility in the design of applications. The developed system was evaluated to assess whether it meets the requirements and expectations of the various stakeholders. Finally, the performance of the proposed telemonitoring system was studied by analyzing the delay on the delivery of messages (local notifications, SMS, and email) to various stakeholders to assess the contribution towards reducing the overall time of the cardiac arrest chain of survival. The results obtained showed a marked improvement (over 28 seconds) on previous work. In addition to improved performance in monitoring and management of vital signs, telemonitoring systems have a potential of decongesting health institutions and saving time for all the stakeholders while bridging most of the gaps discussed above. The captured data can also provide the health researchers and physicians with most of the prerequisite data to effectively execute predictive health thereby improving service delivery in the health sector

    Hacia una representación del conocimiento basada en la percepción

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    Mención Internacional en el título de doctorEsta Tesis define un marco de referencia para crear un modelo de representación del conocimiento inspirándose en la componente biológica cognitiva. Con ello se pretende conseguir un meta-modelo que se comporte de manera análoga a cómo funciona el sistema de adquisición, representación y almacenamiento de la información en los seres humanos, considerando los principales componentes cognitivos asociados: la percepción, el conocimiento y la memoria. Se espera de dicho meta-modelo el poder extender las capacidades del ser humano (limitación perceptual, tanto en capacidad como en variedad), reduciendo sus inconvenientes, de manera que sea posible integrar más información semántica en cada una de las entidades almacenadas en la Base de Conocimiento Global. Dicho conocimiento global podrá ser usado posteriormente en una gran variedad de Sistemas de Información, tales como motores de inferencia avanzados, planificadores y sistemas de recomendación, entre otros. El marco de referencia está compuesto por tres partes bien diferenciadas: - Una serie de Principios Fundamentales identificados y obtenidos mediante un análisis exhaustivo de la literatura, en el área de la Psicología y la Neurociencia Cognitiva. - Una serie de Características Tecnológicas inferidas por dichos principios y soportadas por un estudio del estado actual en el área de las Ciencias de la Computación. - Una implementación modular, distribuida, escalable, eficiente y segura del modelo de representación basada en las características tecnológicas y en los principios fundamentales expuestos. El marco de referencia ha sido validado en sus componentes teóricas mediante expertos en la materia para ambos campos, y en su componente práctica mediante una implementación física y su correspondiente experimentación.This Thesis defines a framework to create a knowledge representation model inspired by the biological cognitive component. With this, it is sought to achieve a meta-model that behaves in an analogous way as the acquisition, representation and storage systems in humans, considering the main associated cognitive components: perception, knowledge and memory. This meta-model is expected to extend the capabilities of the mankind (perceptual limitation, both in capacity and variety), reducing its drawbacks, so that it is possible to integrate more semantic information in each one of the entities stored in the Global Knowledge Base. Such global knowledge can later be used in a wide variety of Information Systems, such as advanced inference engines, planners and recommendation systems, among others. The framework is composed by three distinct parts: - A set of Fundamental Principles identified and obtained through an exhaustive analysis of the literature, in the area of Psychology and Cognitive Neuroscience. - A series of Technical Characteristics inferred by such Fundamental Principles and supported by a study of the current state in the area of Computer Science. - A modular, distributed, scalable, efficient and secure implementation of the representation model based on the technological characteristics and fundamental principles exposed. The framework has been validated in its theoretical components by experts in both fields, and in its practical component through a physical implementation and its corresponding experimentation.Programa Oficial de Doctorado en Ciencia y Tecnología InformáticaPresidente: María Isabel Sánchez Segura.- Secretario: Agustín Gonzalo Cuevas.- Vocal: Alan Edwin Serrano-Ric
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