Aquatic Robot Design for Water Pollutants Monitoring

This paper focuses on the design and development of an Aquatic Robot for water pollutants monitoring. An aquatic robot is integrated with the smartphone for data acquisition. The implemented design contains CV algorithm for image processing on openCV platform. Regularly monitoring aquatic pollutants is needed for pure aquatic environment and safe aquatic life. The human health and water transport are also main consideration towards this robot design. The proposed Aquatic robot consists of sensors and camera for sensing hazardous pollutants and capturing images of surrounding environment respectively. The aquatic robot can accurately detect pollutants and display results on smartphone in the presence of various conditions. DOI: 10.17762/ijritcc2321-8169.15064

Underwater and Surface Aquatic Locomotion of Soft Biomimetic Robot Based on Bending Rolled Dielectric Elastomer Actuators

All-around, real-time navigation and sensing across the water environments by miniature soft robotics are promising, for their merits of small size, high agility and good compliance to the unstructured surroundings. In this paper, we propose and demonstrate a mantas-like soft aquatic robot which propels itself by flapping-fins using rolled dielectric elastomer actuators (DEAs) with bending motions. This robot exhibits fast-moving capabilities of swimming at 57mm/s or 1.25 body length per second (BL/s), skating on water surface at 64 mm/s (1.36 BL/s) and vertical ascending at 38mm/s (0.82 BL/s) at 1300 V, 17 Hz of the power supply. These results show the feasibility of adopting rolled DEAs for mesoscale aquatic robots with high motion performance in various water-related scenarios.Comment: 6 Pages, 12 Figures, Published at IROS 202

The Geometry and Usage of the Supplementary Fisheye Lenses in Smartphones

Nowadays, mobile phones are more than a device that can only satisfy the communication need between people. Since fisheye lenses integrated with mobile phones are lightweight and easy to use, they are advantageous. In addition to this advantage, it is experimented whether fisheye lens and mobile phone combination can be used in a photogrammetric way, and if so, what will be the result. Fisheye lens equipment used with mobile phones was tested in this study. For this, standard calibration of ‘Olloclip 3 in one’ fisheye lens used with iPhone 4S mobile phone and ‘Nikon FC‐E9’ fisheye lens used with Nikon Coolpix8700 are compared based on equidistant model. This experimental study shows that Olloclip 3 in one fisheye lens developed for mobile phones has at least the similar characteristics with classic fisheye lenses. The dimensions of fisheye lenses used with smart phones are getting smaller and the prices are reducing. Moreover, as verified in this study, the accuracy of fisheye lenses used in smartphones is better than conventional fisheye lenses. The use of smartphones with fisheye lenses will give the possibility of practical applications to ordinary users in the near future

Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges

Today's mobile phones are far from mere communication devices they were ten years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. This article provides an overview of the current state of the art in mobile sensing and context prediction paving the way for full-fledged anticipatory mobile computing. We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions. We then discuss proactive decision making and decision delivery via the user-device feedback loop. Finally, we discuss the challenges and opportunities of anticipatory mobile computing.Comment: 29 pages, 5 figure

Smart Computing and Sensing Technologies for Animal Welfare: A Systematic Review

Animals play a profoundly important and intricate role in our lives today. Dogs have been human companions for thousands of years, but they now work closely with us to assist the disabled, and in combat and search and rescue situations. Farm animals are a critical part of the global food supply chain, and there is increasing consumer interest in organically fed and humanely raised livestock, and how it impacts our health and environmental footprint. Wild animals are threatened with extinction by human induced factors, and shrinking and compromised habitat. This review sets the goal to systematically survey the existing literature in smart computing and sensing technologies for domestic, farm and wild animal welfare. We use the notion of \emph{animal welfare} in broad terms, to review the technologies for assessing whether animals are healthy, free of pain and suffering, and also positively stimulated in their environment. Also the notion of \emph{smart computing and sensing} is used in broad terms, to refer to computing and sensing systems that are not isolated but interconnected with communication networks, and capable of remote data collection, processing, exchange and analysis. We review smart technologies for domestic animals, indoor and outdoor animal farming, as well as animals in the wild and zoos. The findings of this review are expected to motivate future research and contribute to data, information and communication management as well as policy for animal welfare

Advances in the development of innovative sensor platforms for field analysis

none8noSustainable growth, environmental preservation, and improvement of life quality are strategic fields of worldwide interest and cornerstones of international policies. Humanity health and prosperity are closely related to our present choices on sustainable development. The main sources of pollution concern industry, including mining, chemical companies, and refineries, wastewater treatment; and consumers themselves. In order to guide and evaluate the eects of environmental policies, diuse monitoring campaigns and detailed (big) data analyses are needed. In this respect, the development and availability of innovative sensor platforms for field analysis and remote sensing are of crucial relevance. In this review, we provide an overview of the area, analyzing the major needs, available technologies, novel approaches, and perspectives. Among environmental pollutants that threaten the biosphere, we focus on inorganic and organic contaminants, which aect air and water quality. We describe the technologies for their assessment in the environment and then draw some conclusions and mention future perspectives opened by the integration of sensing technologies with robotics and the Internet of Things. Without the ambition to be exhaustive in such a rapidly growing field, this review is intended as a support for researchers and stakeholders looking for current, state-of-the-art, and key enabling technologies for environmental monitoring.openRizzato S.; Leo A.; Monteduro Anna Grazia; Chiriaco Maria Serena; Primiceri E.; Sirsi F.; Milone A.; Maruccio G.Rizzato, S.; Leo, A.; Monteduro, ANNA GRAZIA; Chiriaco', MARIA SERENA; Primiceri, E.; Sirsi, F.; Milone, A.; Maruccio, G

AN AQUACULTURE DISRUPTED BY DIGITAL TECHNOLOGY

Fish farming as a primary protein source is significantly more efficient than other protein sources, and demand for fish continues to climb. The future of fish farming is brighter, more traceable, and more profitable. This research aims to learn everything there is to know about the Internet of Things (IoT) systems, including their technology, protocols, and potential hazards. According to the literature, 3D printing, robotics, drones, sensors, artificial intelligence, augmented reality (AR), virtual reality (VR), and blockchain are the digital technologies affecting aquaculture. A wide range of industries is adapting and using it.Setiap teknologi yang mengganggu internet of things (IoT). Ini adalah kemajuan dalam teknologi yang memungkinkan robot melakukan aktivitas jarak jauh yang ditentukan pengguna atau mengirim data sensor ke produsen untuk ditinjau di ponsel cerdas, tablet, dan PC. Tujuan dari penelitian ini adalah untuk memberikan pemahaman yang komprehensif tentang teknologi, protokol, arsitektur, dan bahaya yang terkait dengan sistem IoT yang muncul dari perangkat IoT yang disusupi, serta gambaran umum tingkat tinggi dari model deteksi intrusi. Penelitian ini dibingkai oleh asumsi dan karakteristik peneliti dengan pendekatan penelitian kualitatif. Temuan studi mengungkapkan bahwa banyak sektor dengan cepat menerima dan menerapkan delapan teknologi digital ini. Akuakultur adalah pengadopsi yang terlambat, dan apa yang kita lihat sekarang hanyalah permulaan. Karena akuakultur adalah sektor pangan yang tumbuh paling cepat, dan Organisasi Pangan dan Pertanian PBB memperkirakan bahwa tambahan 27 juta ton output ikan akan diperlukan hanya untuk mempertahankan tingkat konsumsi saat ini pada tahun 2030, tidak mengherankan bahwa teknologi akuakultur akan maju. Budidaya ikan memiliki masa depan yang lebih cerah karena lebih ramah lingkungan dan menguntungkan

University of Malaya Research Bulletin, Volume 17, Number 1, 2017

Previously known as IPPP UM Research Bulleti

Aquatic escape for micro-aerial vehicles

As our world is experiencing climate changes, we are in need of better monitoring technologies. Most of our planet is covered with water and robots will need to move in aquatic environments. A mobile robotic platform that possesses efficient locomotion and is capable of operating in diverse scenarios would give us an advantage in data collection that can validate climate models, emergency relief and experimental biological research. This field of application is the driving vector of this robotics research which aims to understand, produce and demonstrate solutions of aerial-aquatic autonomous vehicles. However, small robots face major challenges in operating both in water and in air, as well as transition between those fluids, mainly due to the difference of density of the media. This thesis presents the developments of new aquatic locomotion strategies at small scales that further enlarge the operational domain of conventional platforms. This comprises flight, shallow water locomotion and the transition in-between. Their operating principles, manufacturing methods and control methods are discussed and evaluated in detail. I present multiple unique aerial-aquatic robots with various water escape mechanisms, spanning over different scales. The five robotic platforms showcased share similarities that are compared. The take-off methods are analysed carefully and the underlying physics principles put into light. While all presented research fulfils a similar locomotion objective - i.e aerial and aquatic motion - their relevance depends on the environmental conditions and supposed mission. As such, the performance of each vehicle is discussed and characterised in real, relevant conditions. A novel water-reactive fuel thruster is developed for impulsive take-off, allowing consecutive and multiple jump-gliding from the water surface in rough conditions. At a smaller scale, the escape of a milligram robotic bee is achieved. In addition, a new robot class is demonstrated, that employs the same wings for flying as for passive surface sailing. This unique capability allows the flexibility of flight to be combined with long-duration surface missions, enabling autonomous prolonged aquatic monitoring.Open Acces