scholarly journals Sistem Anti Maling Untuk Rumah Tinggal Menggunakan IoT Bluemix

2018 ◽  
Vol 3 (1) ◽  
pp. 55
Author(s):  
Griffani Megiyanto Rahmatullah ◽  
Muhammad Ayat ◽  
Wirmanto Suteddy
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Raspberry Pi ◽  
Home Security ◽  
Object Storage ◽  
Processing And Storage ◽  
Security Surveillance ◽  
Cloud Applications ◽  
Application Access ◽  
And Storage

Sistem keamanan rumah merupakan implementasi yang harus dilakukan untuk meningkatkan keamanan dari kejadian yang tidak diinginkan. Beberapa implementasi hanya memberikan notifikasi sederhana berupa alarm dan tidak menjadi bukti yang kuat apabila terjadi pencurian. Salah satu solusi yang dilakukan adalah penempatan kamera untuk memantau keamanan rumah secara real time diintegrasikan dengan penyimpanan cloud. Bluemix merupakan salah satu provider untuk aplikasi cloud yang memiliki layanan pengolahan dan penyimpanan data, akses aplikasi mobile, pengawasan serta Internet of Things (IoT). Sistem yang diimplementasikan adalah integrasi Raspberry Pi dengan layanan Bluemix untuk melakukan pengawasan keamanan rumah dan memberikan notifikasi kepada pengguna. Sistem mendeteksi jarak menggunakan sensor HC-SR04 terhadap objek dan apabila jarak melewati acuan, hal tersebut adalah indikasi terjadinya pencurian. Berikutnya sistem akan menyalakan buzzer sebagai keluaran suara dan mengaktifkan kamera untuk mengambil gambar lalu diunggah ke object storage Bluemix. Langkah berikutnya yaitu layanan IBM push notification memberikan notifikasi ke perangkat Android pengguna. Pengujian dilakukan dengan menghalangi pembacaan sensor sehingga terjadi indikasi pencurian. Hasilnya adalah sistem berhasil menyalakan buzzer, mengambil gambar lalu diunggah ke Bluemix, dan notifikasi berhasil masuk pada Android. Notifikasi diterima oleh file browser pada perangkat Android dan dilakukan sinkronisasi dengan object storage untuk melakukan pengunduhan berkas gambar yang telah diunggah sebelumnya.Kata kunci: Bluemix, Raspberry Pi, object sorage, IBM push notification Home security system is an implementation that needs to be done to improve the security of unwanted events. Some implementations only provide a simple notification such as alarm and cannot become strong evidence in case of theft. One of the solutions is camera placement to monitor home security in real time integrated with cloud storage. Bluemix is a provider for cloud applications that have data processing and storage services, mobile application access, monitoring and Internet of Things (IoT). System implemented was integration of Raspberry Pi with Bluemix services to conduct home security surveillance and provide notification to user. System detected distance using HC-SR04 sensor to object and if distance passes the reference, it was an indication of theft. Next, system will turned on buzzer as a sound output and activating the camera to take picture and uploaded to Bluemix Object Storage. Next step was IBM push notification service giving notification to user's Android device. The testing was done by blocking the sensor readings so that there was an indication of theft. The result was system succeeded in turning on the buzzer, taking pictures, uploading pictures to Bluemix, and notification successfully logged on Android. Notifications are received by the file browser on Android device and synchronized with object storage to download image files that have been uploaded previously.Keywords: Bluemix, Raspberry Pi, object storage, IBM push notification 

Smart Community Security System Based on Sensor Web

2014 ◽  
Vol 571-572 ◽  
pp. 1037-1041
Author(s):  
Ya Liu ◽  
Jian Hua Mao ◽  
Xue Feng Liu
Keyword(s):  
Real Time ◽  
Home Environment ◽  
Data Transmission ◽  
Security System ◽  
Security Systems ◽  
Home Security ◽  
Sensor Web ◽  
Alarm Systems ◽  
Smart Community ◽  
And Storage

The traditional smart security systems have poor extensity, delayed alarm systems, and cannot be controlled through the remote network. To solve the shortcomings, this article proposed a smart security system based on Sensor Web. The system used Sensor Observation Service to achieve the data transmission and storage in real time. Users can send requests to Sensor Observation Service to get home environment information in real time via Internet. The system also implemented Sensor Event Service, so that users can get home security alarm information in real time by subscribing the events they are interested in.

Analysis Engine Based on Cloud Computing

2014 ◽  
Vol 602-605 ◽  
pp. 3478-3480
Author(s):  
Shan Hong Zhu ◽  
Wei Liu
Keyword(s):  
Cloud Computing ◽  
Behavior Analysis ◽  
Real Time ◽  
User Behavior ◽  
User Behavior Analysis ◽  
Efficient Processing ◽  
Processing And Storage ◽  
Mining Model ◽  
Analysis Engine ◽  
And Storage

In this paper come up with the idea of user behavior analysis engine, the combination of the static analysis of user behavior and real-time monitoring, real-time acquisition of Web log and user to access the context information of the page, apply to the improved data mining model analysis, which based on cloud computing technology, meanwhile efficient processing and storage, cloud database test showed that, the system can significantly improve the effect and efficiency of user behavior analysis.

scholarly journals Implementation of IoT in Agriculture

2021 ◽  
Author(s):  
B. Mohamed Arafath Rajack ◽  
N. Subramanian ◽  
N. Arun Pragadesh ◽  
R. Suvanesh ◽  
S. Vignesh
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Mobile Application ◽  
Raspberry Pi ◽  
Modern World ◽  
The Real ◽  
Agriculture Sector ◽  
The World ◽  
Potential Pest ◽  
World Agriculture

In this modern world agriculture is one of the major booming sectors around the world. In India around 60 percent of GDP comes from agriculture sector alone. Also, around the world there are many technologies showing up in the field of agriculture. In this paper proposed a technology by means of which potential pest attack in the crops can be detected and the respective pesticide is also sprayed as well. Along with these there is a range of sensor employed in the field connected to the controller that will take the real time values from the field and can be displayed in the respective screen (monitor or mobile screen) by means of technology called IOT (Internet of Things). Raspberry-pi is used as the controller to perform IoT. system is linked with an application called “cain” Which allows us to display various values of sensors in the monitor or in mobile application.

Fog Computing: A Primer

2017 ◽  
Vol 7 (7) ◽  
pp. 405
Author(s):  
Matthew N. O. Sadiku ◽  
Mahamadou Tembely ◽  
Sarhan M. Musa
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Fog Computing ◽  
Resource Constrained ◽  
Computing Model ◽  
Computing Services ◽  
Iot Devices ◽  
Real Time Computing ◽  
And Storage ◽  
The Ideal

Fog computing (FC) was proposed in 2012 by Cisco as the ideal computing model for providing real-time computing services and storage to support the resource-constrained Internet of Things (IoT) devices. Thus, FC may be regarded as the convergence of the IoT and the Cloud, combining the data-centric IoT services and pay-as-you-go characteristics of clouds.  This paper provides a brief introduction of fog computing.

Perancangan Sistem Kehadiran Face Recognition Menggunakan Mikrokomputer Berbasis Internet of Things

2020 ◽  
Vol 5 (2 Februari) ◽  
pp. 155-166
Author(s):  
Ahmad Roihan ◽  
Nina Rahayu ◽  
Danang Saputro Aji
Keyword(s):  
Face Recognition ◽  
Internet Of Things ◽  
Real Time ◽  
Raspberry Pi

Semua perusahaan menginginkan sistem kehadiran yang lebih baik di mana dapat meningkatkan tingkat kedisiplinan pegawai dalam kehadiran. Dalam hal ini, menjadi masalah yang harus dicari solusinya dan membutuhkan fasilitas atau perancangan berupa sistem kehadiran yang dapat memudahkan dalam melakukan absensi kehadiran dan mengurangi akan terjadinya kesalahan dan kecurangan. Penelitian ini mengembangkan sistem sebagai pemecahan masalah pada sistem kehadiran yang telah ada saat ini dengan sistem kehadiran dengan pengenalan wajah. Raspberry Pi digunakan sebagai mikro komputer untuk melakukan proses pengolahan data untuk mengaktifkan webcam yang akan mendeteksi wajah ketika gerakan telah terdeteksi oleh PIR sensor sebagai input serta perancangan menggunakan bahasa pemrograman Python yang dijalankan pada platform sistem operasi Raspbian. Tujuan dari penelitian ini yaitu  mampu menerapkan sistem yang dapat melakukan pembacaan wajah pegawai untuk input kehadiran secara real time.   Kata Kunci: Kehadiran, Raspberry, Face Recognition, Webcam, Python

scholarly journals Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol

2018 ◽  
Vol 1 (4) ◽  
pp. 42 ◽  
Author(s):  
Sharnil Pandya ◽  
Hemant Ghayvat ◽  
Ketan Kotecha ◽  
Mohammed Awais ◽  
Saeed Akbarzadeh ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Smart Home ◽  
Cost Effective ◽  
Video Data ◽  
Night Vision ◽  
Efficient System ◽  
Home Security ◽  
Novel Approach ◽  
Plastic Materials

The proposed research methodology aims to design a generally implementable framework for providing a house owner/member with the immediate notification of an ongoing theft (unauthorized access to their premises). For this purpose, a rigorous analysis of existing systems was undertaken to identify research gaps. The problems found with existing systems were that they can only identify the intruder after the theft, or cannot distinguish between human and non-human objects. Wireless Sensors Networks (WSNs) combined with the use of Internet of Things (IoT) and Cognitive Internet of Things are expanding smart home concepts and solutions, and their applications. The present research proposes a novel smart home anti-theft system that can detect an intruder, even if they have partially/fully hidden their face using clothing, leather, fiber, or plastic materials. The proposed system can also detect an intruder in the dark using a CCTV camera without night vision capability. The fundamental idea was to design a cost-effective and efficient system for an individual to be able to detect any kind of theft in real-time and provide instant notification of the theft to the house owner. The system also promises to implement home security with large video data handling in real-time. The investigation results validate the success of the proposed system. The system accuracy has been enhanced to 97.01%, 84.13, 78.19%, and 66.5%, in scenarios where a detected intruder had not hidden his/her face, hidden his/her face partially, fully, and was detected in the dark from 85%, 64.13%, 56.70%, and 44.01%.

scholarly journals Synthesis of real-time cloud applications for Internet of Things

2015 ◽  
Vol 23 ◽  
pp. 913-929 ◽  
Author(s):  
Slawomir BAK ◽  
Radoslaw CZARNECKI ◽  
Stanislaw DENIZIAK
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Cloud Applications

scholarly journals An internet of things (IoT)-based optimum tea fermentation detection model using convolutional neural networks (CNNs) and majority voting techniques

2021 ◽  
Vol 10 (2) ◽  
pp. 153-162
Author(s):  
Gibson Kimutai ◽  
Alexander Ngenzi ◽  
Said Rutabayiro Ngoga ◽  
Rose C. Ramkat ◽  
Anna Förster
Keyword(s):  
Neural Networks ◽  
Internet Of Things ◽  
Real Time ◽  
Convolutional Neural Networks ◽  
Colour Change ◽  
Black Tea ◽  
Majority Voting ◽  
Raspberry Pi ◽  
Deep Convolutional Neural Networks ◽  
Precision And Accuracy

Abstract. Tea (Camellia sinensis) is one of the most consumed drinks across the world. Based on processing techniques, there are more than 15 000 categories of tea, but the main categories include yellow tea, Oolong tea, Illex tea, black tea, matcha tea, green tea, and sencha tea, among others. Black tea is the most popular among the categories worldwide. During black tea processing, the following stages occur: plucking, withering, cutting, tearing, curling, fermentation, drying, and sorting. Although all these stages affect the quality of the processed tea, fermentation is the most vital as it directly defines the quality. Fermentation is a time-bound process, and its optimum is currently manually detected by tea tasters monitoring colour change, smelling the tea, and tasting the tea as fermentation progresses. This paper explores the use of the internet of things (IoT), deep convolutional neural networks, and image processing with majority voting techniques in detecting the optimum fermentation of black tea. The prototype was made up of Raspberry Pi 3 models with a Pi camera to take real-time images of tea as fermentation progresses. We deployed the prototype in the Sisibo Tea Factory for training, validation, and evaluation. When the deep learner was evaluated on offline images, it had a perfect precision and accuracy of 1.0 each. The deep learner recorded the highest precision and accuracy of 0.9589 and 0.8646, respectively, when evaluated on real-time images. Additionally, the deep learner recorded an average precision and accuracy of 0.9737 and 0.8953, respectively, when a majority voting technique was applied in decision-making. From the results, it is evident that the prototype can be used to monitor the fermentation of various categories of tea that undergo fermentation, including Oolong and black tea, among others. Additionally, the prototype can also be scaled up by retraining it for use in monitoring the fermentation of other crops, including coffee and cocoa.

scholarly journals Rancang Bangun Sistem Monitoring Dan Controlling Tambak Udang Windu Dengan Konsep Internet Of Things Menggunakan Protokol Message Queuing Telemetry Transport

2020 ◽  
Vol 5 (1) ◽  
pp. 137
Author(s):  
Dania Eridani ◽  
Eko Didik Widianto ◽  
Nur Kholid
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Raspberry Pi

Udang windu merupakan salah satu jenis udang asli dari Indonesia. Pembudidayaan udang windu sangat dipengaruhi oleh kualitas air pada tambak udang windu. Berdasarkan faktor tersebut, maka dibuatlah sistem yang mampu memantau dan mengontrol kualitas air pada tambak udang windu secara kontinyu dan real-time menggunakan konsep Internet of Things dengan protokol Message Queuing Telemetry Transport. Sistem yang dibangun terdiri dari 2 bagian, yang pertama adalah NodeMCU sebagai primary node yang terhubung dengan sensor (HC-SR04, SEN0161, dan DS18B20) untuk pemantauan kualitas air dan aktuator (motor DC sebagai kincir air). Bagian kedua adalah Raspberry Pi 3 Model B sebagai MQTT broker dan berfungsi untuk mengirimkan hasil pembacaan sensor menuju database. Hasil dari penelitian ini adalah sistem dapat memantau kualitas air dan juga melakukan kontrol terhadap kincir air melalui aplikasi berbasis website. Primary node juga bisa berkomunikasi dengan broker melalui protokol MQTT.

scholarly journals Socioeconomic technologies – development trends in the age of digitalization

2020 ◽  
Author(s):  
Leonid Reingold ◽  
Aleksandr Solovev ◽  
Elena Reingold
Keyword(s):  
Internet Of Things ◽  
Conceptual Framework ◽  
New Technologies ◽  
The Internet ◽  
Suggested Approach ◽  
Socioeconomic Environment ◽  
History Of ◽  
Processing And Storage ◽  
And Storage ◽  
The Internet Of Things

Dramatical changes in society’s infrastructure require new conceptual approaches towards the research of socioeconomic phenomena. Nowadays, environment surrounding people experience qualitative changes; it has become possible to use full information on the history of objects. It is essential to develop a conceptual framework enabling to thoroughly describe the interaction of an individual and a socioeconomic environment that is changed by digital technologies. In this article, it is suggested to use the concept of socioeconomic technology in the context of exploration of digitalization processes. These include the Internet of things, big data processing, widespread implementation of personal tools to process and share information etc. The concept of socioeconomic technology allows tying up new technologies with the needs of an individual and society as well as with phenomena emerging in socioeconomic infrastructure. The suggested approach may be used at the development and implementation of the Internet of things, of global communication infrastructure, of technologies for processing and storage of data, and for the research of other aspects of society’s digitalization. Today it is possible to research different directions for the development of consumption sphere and technologies taking into account the emergence of virtual properties of objects. Virtual properties result for example in multiple ways to implement things, in the possibility to store and use the full history of major objects surrounding an individual. Conceptual framework suggested in this article allows holistically addressing the issues of commercial efficiency and socioeconomic management in the age of digitalization.

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