An exploration of IoT platform development

IoT (Internet of Things) platforms are key enablers for smart city initiatives, targeting the improvement of citizens\u27 quality of life and economic growth. As IoT platforms are dynamic, proactive, and heterogeneous socio-technical artefacts, systematic approaches are required for their development. Limited surveys have exclusively explored how IoT platforms are developed and maintained from the perspective of information system development process lifecycle. In this paper, we present a detailed analysis of 63 approaches. This is accomplished by proposing an evaluation framework as a cornerstone to highlight the characteristics, strengths, and weaknesses of these approaches. The survey results not only provide insights of empirical findings, recommendations, and mechanisms for the development of quality aware IoT platforms, but also identify important issues and gaps that need to be addressed

IoT Smart Agriculture for Aquaponics and Maintaining Goat Stall System

This present a project development on smart farm and agriculture. The surge in global population is compelling a shift towards smart farm and agriculture practices. This coupled with the diminishing natural resources increase in unpredictable weather conditions makes food security a major concern for most countries. As a result, the use of internet of things (IoT) and data analytics (DA) are employed to enhance the operational efficiency and productivity in the farm and agriculture sector. The objective is to design a prototype that used internet of things in the farm and agriculture. Next is to have a monitoring and controlling or automation system that will benefits the farmer. Then collect all the data to be analyses on the rainfall, temperature, humidity and light intensity. The methodology comprised of hardware, software, programming, sensors such as water sensor, light depending resistor sensor, temperature and humidity sensor and weight sensor for collected data. Result presents a prototype on aquaponics and goat stall that implement the concepts of internet of things for monitoring, controlling or automation system while data analytics is presented from all the sensors. Analytic data on the temperature, light intensity, humidity and rainfall rate are analyzed. Surrounding temperature are important for both plant and fish because if it too hot, they can die easily. While optimum light is needed by the plant for their photosynthesis process. Thus, by monitoring and collecting these parameters, data can be used for analyzing purpose. This project can benefits agriculture and farm sector. Prototype also can be used for small size like at the backyard or balcony of the house for person that likes gardening

Towards Interoperability of Smart City Data Platforms

We present a comprehensive analysis of the literature on interoperability of smart city data platforms in an attempt to conceptualize interoperability approaches. To this end, we propose a taxonomy of said approaches based on four dimensions with three characteristics each. The taxonomy can be used to classify interoperability approaches. We discuss implications for theory and practice and conclude with a first assessment of individual approaches towards their prospect of success

Integración de una red de sensores con una plataforma IoT para control inteligente de aulas

Los recientes avances en las tecnologías de conectividad y sensado constituyen un escenario propicio para las soluciones basadas en IoT. Actualmente existe una variedad de herramientas que ayudan a explotar el potencial de estas soluciones, entre ellas las Plataformas IoT, complementadas con niveles de procesamiento cercanos a los bordes de la red. En este artículo se describe la implementación de un sistema para monitoreo y control inteligente de parámetros de interés en un edificio universitario basado en una plataforma IoT, y se brindan los resultados preliminares de la funcionalidad desplegada y las pruebas de conectividad realizadas entre los nodos sensores y el servidor.Short Paper - AlumnosRed de Universidades con Carreras en Informátic

Decoding the Landscape of Smart City Platforms: A Taxonomy Approach

The notion of Smart Cities (SC) has gained significant attention in re-cent years as cities are becoming more connected, integrated and technologically advanced. Smart City Platforms (SCPs) have emerged as an important element of this movement, representing the backbone for collecting, processing, and an-alyzing urban data streams from peripheral devices and systems in a city. This study seeks to identify the key dimensions and characteristics of SCPs. Based on a systematic literature, we crafted a taxonomy following Nickerson et al. (2013) guidelines. The taxonomy contributes to existing literature, offering a set of char-acterizations of SCPs which provides a framework to thoroughly analyze SCPs. Further, we gain extra insights about their differences and their distinct layers

Smart cities as hubs: Connect, collect and control city flows

Regardless the Smart City (SC) broad scope, which ranges from a service-oriented ecosystem with the use of almost all the emerging technologies to a resilient urban environment, practice shows that the SC is mostly capitalized for utility upgrades, urban renovation, and real-time city monitoring. Moreover, recent city implementations register attempts to utilize technology for controlling the entire city flows. The aim of this communication paper is to discuss the SC hubness and more specifically the fact that the SC can become a “hub” that collects, processes, and transmits data; brings together people to co-design and evolve; and controls service, material and people flows in all city types. As a result, this paper defines the role, the uses and the architecture of this “SC-as-a-Hub” operation labeled “SCHub”, which can standardize and control all the city flows

Thinger.io-alustan käyttö konetekniikan IoT-sovelluksissa

Tiivistelmä. Työn tavoitteena on tutustua yleisesti Thinger.io-alustan käyttöön konetekniikan IoT-sovelluksissa. Työssä tutustutaan ensin yleisellä tasolla koneiden tiedonkeruuseen ja sen tärkeimpiin nykyaikaisiin teknologioihin sekä IoT-laitteisiin ja niiden haasteisiin. Työssä pyritään esittämään Thinger.io-alustan pääominaisuudet sekä käyttöliittymän toiminta yleisellä tasolla. Lopuksi tarkastellaan alustan mahdollisia käyttökohteita sekä alustan kehittäjien tulevaisuuden suunnitelmia. Työn lähteinä käytetään aiheesta tehtyä kirjallisuutta ja tutkimuksia sekä Thinger.io-alustan omaa dokumentaatiota. Työssä on käytetty lisäksi alustan käyttöä ja ominaisuuksia havainnollistavia kuvia. Työn perusteella voidaan todeta, että mittalaitteiden kohtaamia ongelmia voidaan minimoida esimerkiksi optimoimalla alustojen toimivuutta. Lisäksi huomataan, että Thinger.io-alusta on ominaisuuksiltaan kykenevä moneen eri sovellukseen.Use of the Thinger.io platform in mechanical engineering IoT applications. Abstract. The aim of this work is to get acquainted with the general use of the Thinger.io platform in mechanical engineering IoT applications. The work first introduces general data collection of machines and its most important modern technologies as well as IoT devices and their challenges. The aim of the work is to present the main features of the Thinger.io platform and the operation of the user interface in general. Finally, the possible uses of the platform as well as the future plans of the platform developers are examined. The sources of the work are literature and research on the topic, as well as Thinger.io platforms own documentation. In addition, images illustrating the use and features of the platform have been used in the work. Based on the work, it can be stated that the problems encountered by measuring devices can be minimized, for example, by optimizing the functionality of the platforms. In addition, it is noted that the Thinger.io platform is by its features capable of many different applications

Math balance aids based on Internet of Things for arithmetic operational learning

Industry 4.0 has changed various aspects of human life towards an era heavily influenced by information technology. The impact of industry 4.0 on the education sector has led to the emergence of the term education 4.0. The Internet of Things (IoT) is one of the pillars of industry 4.0. With its capabilities, IoT can provide opportunities to develop innovations in the field of education. Several studies show that teaching aids can improve the quality of learning and learning outcomes. In Indonesia, mathematics is a compulsory subject taught from elementary school to higher education. Previous studies that used mathematical (math) balance aids to help students learn mathematical operations showed positive correlations between the learning process and student learning outcomes in the materials related to arithmetic operations. This study aims to develop an IoT-based mathematical balance tool to support three education 4.0 trends: remote access, personalization, and practice and feedback. This study used modifications of Fahmideh and Zogwhi's IoT development method. There are five phases of IoT development: initialization phase, analysis phase, design phase, implementation phase, and evaluation phase. From each phase of IoT development, IoT-based mathematical balance assistance systems have been successfully built and it complies with the functionality described in the analysis phase. The system performance also shows optimal results with 100% accuracy for reading the student's learning activities. Moreover, it uses less than 10 seconds for processing 1000 data requests

Engineering Blockchain Based Software Systems: Foundations, Survey, and Future Directions

Many scientific and practical areas have shown increasing interest in reaping the benefits of blockchain technology to empower software systems. However, the unique characteristics and requirements associated with Blockchain Based Software (BBS) systems raise new challenges across the development lifecycle that entail an extensive improvement of conventional software engineering. This article presents a systematic literature review of the state-of-the-art in BBS engineering research from a software engineering perspective. We characterize BBS engineering from the theoretical foundations, processes, models, and roles and discuss a rich repertoire of key development activities, principles, challenges, and techniques. The focus and depth of this survey not only gives software engineering practitioners and researchers a consolidated body of knowledge about current BBS development but also underpins a starting point for further research in this field

Innovation ecosystems for industry 4.0 : a collaborative perspective for the provision of digital technologies and platforms

Industry 4.0 considers complex interrelated IoT-based technologies for the provision of digital solutions. This complexity demands a vast set of capabilities that are hard to be found in a single technology provider, especially in small and medium-sized enterprises (SMEs). Innovation ecosystems allow SMEs to integrate resources and cocreate Industry 4.0 solutions. This thesis investigates the role of collaboration for the development of technologies and solutions in the Industry 4.0 context. To this end, this thesis was organized into three papers, which objectives are: (i) to verify if collaboration through inbound Open Innovation activities with different actors in the supply chain positively moderates the relationship between Industry 4.0 technologies and their expected benefits; (ii) to identify how the characteristics of an innovation ecosystem focused on solutions for Industry 4.0 change at each evolutionary lifecycle stage using elements from social exchange theory; and (iii) to identify which technologies can be configured as platforms through boundary-spanning activities and how they operate collaboratively to develop solutions for Industry 4.0. As a result, this thesis proposes a model that explains the role of collaboration at different levels (supply chains, ecosystems, and platforms) for the development of solutions in the Industry 4.0 context. This research approach combines both qualitative (i.e., focus group, interviews, and case studies) and quantitative (i.e., survey research with multivariate data analysis) aspects. The main results obtained are: (i) we show how collaboration with different actors in the supply chain through Open Innovation strategy has both positive and negative impacts on three strategies associated with product development (cost reduction, focalization, and innovation); (ii) we define the main characteristics of innovation ecosystems focused on the provision of Industry 4.0 solutions, considering an evolutionary lifecycles perspective and a Social Exchange view (iii) we define which are the different technology platforms of the Industry 4.0 context at different operation levels using Boundary-Spanning view. As remarking conclusions, from an academic perspective, these results help to understand how collaboration for the development of new solutions in Industry 4.0 can be analyzed under different perspectives (Open Innovation, Social Exchange Theory, and Boundary-Spanning) and in different contexts of integration (supply chains, ecosystems, and platforms). From a practical perspective, the results help to enlighten a trending business topic by showing how the collaboration among technology providers for Industry 4.0 should be fostered and developed