scholarly journals Innovative Experiment Platform Design and Teaching Application of the Internet of Things

2015 ◽  
Vol 11 (6) ◽  
pp. 28 ◽  
Author(s):  
Ken Cai ◽  
Fenglian Tie ◽  
Haoran Huang ◽  
Hanhui Lin ◽  
Huazhou Chen

By analyzing the current situation of experimental platforms which is based on the Internet of Things (IOT) and the cultivation of talents, we established the talents' cultivating orientation and experiment platform for innovation. In accordance with the requirements of a students' practical and creative ability curriculum, the method of modularization was adopted to design this platform. With this, the platform can basically satisfy the needs of the varying teaching experiments, which can increase opportunities for the students on their comprehensive application. The platform was widely used in experimental and practice teaching in the past three years, such as synthetic experiment, graduate programs, and practice project in Zhongkai University of Agriculture and Engineering, Guilin University of Technology etc. Result shows that the innovation experimental platform has broad application prospects, and effectiveness to meet the requirements of students' in-depth learning and research of IOT technologies. Meanwhile, the platform expanded the students' basic understanding of IOT and improved their innovation.

2021 ◽  
Vol 155 ◽  
pp. 107174 ◽  
Author(s):  
Jianxin Wang ◽  
Ming K. Lim ◽  
Chao Wang ◽  
Ming-Lang Tseng

History has always been a great indicator of past behaviour as well as of future trends. However, when you think of what future jobs may look like, you do not certainly expect to find a plausible response in the past. Technologies and scientific advancements in general make it almost impossible to predict what you will be required to know in order to get—or maintain—your job in the next six months, let alone in the next couple of years. Whilst disruption seems such a new concept nowadays, we will learn that disruptive innovations have always been part of our story. The authors look at the major industrial revolutions known to humans and discuss patterns to help us prepare for the forthcoming future.


2020 ◽  
pp. 1286-1297
Author(s):  
Arthur Tatnall ◽  
Bill Davey

In the past, it was rare for non-humans to interact with each other without any involvement by humans, but this is changing. The Internet of Things (IoT) involves connections of physical things to the Internet. It is largely about the relationships between things, or non-humans actors. In other cases the ‘Things' seem to have inordinate power. The authors will ask: where does this leave humans? Are the things taking over? As a consideration of interactions like this must be a socio-technical one, in this article the authors will make use of Actor-Network Theory to frame the discussion. While the original applications for IoT technology were in areas such as supply chain management and logistics, now many more examples can be found ranging from control of home appliances to healthcare. It is expected that the ‘Things' will become active participants in business, information and social processes and that they will communicate among themselves by exchanging data sensed from the environment, while reacting autonomously. The Things will continue to develop identities and virtual personalities. In the past non-human actors have needed humans to interact with each other, but this is not the case anymore. In this perhaps provocative and rather speculative article we will look not just at the Internet of Things, but other related concepts such as artificial intelligence and robotics and make use of scenarios from science fiction to investigate the Rise of the Non-Human Actors and where this may lead in the future.


2017 ◽  
Vol 13 (05) ◽  
pp. 134
Author(s):  
Meiyan Du

<p class="0abstract">The purpose is to construct smart park platform by using the Internet of Things technology, to realize the access of intelligent systems and equipment within park, and to effectively coordinate the various systems in the park. Taking advantage of the key technologies of Internet of Things and cloud computing, smart park information hardware architecture and technical solutions are put forward, the sensor and wireless Internet of Things are applied to realize the system. The experimental results showed that the system realizes the information sharing, exchange and fusion between the various sensing subsystems, and solves the information islands phenomenon that existed in the past. In conclusion, this system can meet the actual needs of smart park, and provides a certain reference for similar park construction.</p>


Author(s):  
Apurv Singh Yadav

Over the past few decades speech recognition has been researched and developed tremendously. However in the past few years use of the Internet of things has been significantly increased and with it the essence of efficient speech recognition is beneficial more than ever. With the significant improvement in Machine Learning and Deep learning, speech recognition has become more efficient and applicable. This paper focuses on developing an efficient Speech recognition system using Deep Learning.


Tehnika ◽  
2020 ◽  
Vol 75 (6) ◽  
pp. 678-683
Author(s):  
Milica Đekić

The Internet of Things (IoT) is a quite recent paradigm going a decade back to the past. With the development and deployment of wireless technologies this new advancement has taken the part in the consumers' lives and businesses. In other words, the IoT is a pretty convenient way to correlated devices with each other and make them communicate in such a network. This is feasible using the internet connection and differently saying, all IoT devices forming the IoT asset got their IP addresses. From this perspective, it's quite clear that this technology got a lot of advantages and the users may feel so thankful for being the part of an IoT community. On the other hand, the consumers would spend less time thinking about the possible security concerns being linked to this new improvement. In this paper, we intend to discuss how secure our IoT infrastructure is, what its strategic implications are and why cyber industry should invest more time and effort in order to better research and develop this concept. In addition, we would try to deal a bit more with the IoT crawlers as the tools for investigating the IoT network and being so handy for both - researchers and hacker's groups.


2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Raghavendra Patil G E ◽  
G R Jyoti ◽  
Kratika Krishnanand Naik ◽  
Lavanya G ◽  
Manavi J M

The internet of things is a technology that connects physical objects through the internet. It has an incredible application in the field of medication that offers an assortment of answers for patients and medical services experts. This makes clinical hardware more productive, by giving checking to the patient's wellbeing. That is the reason we offer a framework known as the Automated Medicine Alert System, the proposed framework will be intended to remind patients to take as much time as is needed and to give data about the patient's wellbeing status to both the patient and the patient's overseer. Here, the patient necessities to give a medicine, the subtleties of which have been given to him by a specialist to a page, after which the framework will store the heaviness of every tablet just as the all out weight of medication. At the hour of medication admission as indicated by the GSM module, the tablet will be determined by a 16-digit LCD screen, alongside a buzzer sound. The weight change is processed with the assistance of a gadget called a load cell subsequent to taking the medication and afterward contrasted with the past complete weight. The framework will send an affirmation email, i.e, an instant message to the patient and his overseer assuming any, subsequently, broke down dependent on changes in the heaviness of tablets.


2018 ◽  
Vol 23 (5) ◽  
pp. 407-411 ◽  
Author(s):  
Alok Tayi

Over the past decade, cloud software has transformed numerous industries—from finance to logistics, marketing to manufacturing. The simplified aggregation of data, enabled by cloud computing, empowers individuals to glean insights and make data-driven decisions rapidly. In science, however, such a transformation has yet to emerge. The domain lacks centralized, machine-readable repositories of scientific data; this absence inhibits analytics and expedient decision-making. Recently, the Internet of Things (IoT) has served as a catalyst for digitizing and automating science. IoT enables the centralized collection and analysis of scientific data (e.g., instruments, sensors, and environments). Here, we discuss this new technology trend, its applications in laboratories and promise as a platform for improved efficiency, more innovative capabilities, and machine learning/artificial intelligence.


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