An online cognitive authentication and trust evaluation application programming interface for cognitive security gateway based on distributed massive Internet of Things network

Author(s):  
Hsing‐Chung Chen ◽  
Wei‐Ju Yang ◽  
Chao‐Lung Chou
2020 ◽  
Vol 20 (02) ◽  
pp. 131-135
Author(s):  
Satrio Setyo Laksono ◽  
N Nurgiyatna

Hujan merupakan faktor penting dalam segala aspek kehidupan, tidak tentunya kedatangan hujan saat ini sangat berpengaruh terhadap kegiatan industri, terutama pada sektor pertanian. Dalam industri pertanian tinggi rendahnya curah hujan sangat berpengaruh dalam pengelolaan sumber daya dan juga sangat menentukan hasil panen yang akan didapati. Sebagai contoh curah hujan yang terlalu tinggi dapat menyebabkan gagal panen dikarenakan resiko terjadinya banjir yang membuat tanaman padi mati, begitu pula curah hujan yang terlalu sedikit dapat pula menyebabkan gagal panen dikarenakan kurangnya sumber air. Dengan adanya Inernet of Things (IoT) dan Social Media diharapkan dapat membantu para petani dalam mengelola sumber air untuk lahan pertanian mereka. Penelitian ini menggunakan metode eskperimental dengan percobaan langsung terhadap hujan. Raspberry pi 3 digunakan sebagai controller, sensor magnetik diterapkan sebagai pengukur curah hujan yang dihubungkan memalui interface GPIO pada raspberry pi 3, dan diteruskan pada API (Application Programming Interface) Telegram berupa bot sebagai sebuah pesan. Tampilan pengontrol berupa sebuah layar chat yang terdapat pada telegram yang dapat digunakan untuk mengirim perintah yang sudah disediakan.


Author(s):  
Anjali Dalvi ◽  
Mohd. Ali Ansari ◽  
Anjali Tiwari ◽  
Rutuja Sonavane ◽  
Arti Bakshi

Internet of Things (IoT) globally is an emerging technology enabling the exchange of knowledge and services. But over the years, security in IoT has become an issue. This paper shows a way of including security to daily-based applications by the use of voice biometrics. The voice of a user is stored and authenticated using an API (Application Programming Interface) called “VoiceIT”. This method involves the use of Python as the main coding language and uses many libraries such as the Google Speech library for speech synthesis that converts a speech to a text format. The processing of the code is done using Raspberry Pi 3. The implementation of this experiment proves useful for increased security in an advanced IoT system.


2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan

Availability the Application Programming Interface (API) for third-party applications on Android devices provides an opportunity to monitor Android devices with each other. This is used to create an application that can facilitate parents in child supervision through Android devices owned. In this study, some features added to the classification of image content on Android devices related to negative content. In this case, researchers using Clarifai API. The result of this research is to produce a system which has feature, give a report of image file contained in target smartphone and can do deletion on the image file, receive browser history report and can directly visit in the application, receive a report of child location and can be directly contacted via this application. This application works well on the Android Lollipop (API Level 22). Index Terms— Application Programming Interface(API), Monitoring, Negative Content, Children, Parent.


Robotica ◽  
2021 ◽  
pp. 1-31
Author(s):  
Andrew Spielberg ◽  
Tao Du ◽  
Yuanming Hu ◽  
Daniela Rus ◽  
Wojciech Matusik

Abstract We present extensions to ChainQueen, an open source, fully differentiable material point method simulator for soft robotics. Previous work established ChainQueen as a powerful tool for inference, control, and co-design for soft robotics. We detail enhancements to ChainQueen, allowing for more efficient simulation and optimization and expressive co-optimization over material properties and geometric parameters. We package our simulator extensions in an easy-to-use, modular application programming interface (API) with predefined observation models, controllers, actuators, optimizers, and geometric processing tools, making it simple to prototype complex experiments in 50 lines or fewer. We demonstrate the power of our simulator extensions in over nine simulated experiments.


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