scholarly journals Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Tran Anh Khoa ◽  
Le Mai Bao Nhu ◽  
Hoang Hai Son ◽  
Nguyen Minh Trong ◽  
Cao Hoang Phuc ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information Security ◽  
Internet Of Things ◽  
Real Time ◽  
Mobile Networks ◽  
Smart Home ◽  
Smart Cities ◽  
Smart Homes ◽  
Authentication Mechanism

Smart homes are an element of developing smart cities. In recent years, countries around the world have spared no effort in promoting smart cities. Smart homes are an interesting technological advancement that can make people’s lives much more convenient. The development of smart homes involves multiple technological aspects, which include big data, mobile networks, cloud computing, Internet of Things, and even artificial intelligence. Digital information is the main component of signal control and flow in a smart home, while information security is another important aspect. In the event of equipment failure, the task of safeguarding the system’s information is of the utmost importance. Since smart homes are automatically controlled, the problem of mobile network security must be taken seriously. To address these issues, this paper focuses on information security, big data, mobile networks, cloud computing, and the Internet of Things. Security efficiency can be enhanced by using a Secure Hash Algorithm 256 (SHA-256), which is an authentication mechanism that, with the help of the user, can authenticate each interaction of a given device with a WebServer by using an encrypted username, password, and token. This framework could be used for an automated burglar alarm system, guest attendance monitoring, and light switches, all of which are easily integrated with any smart city base. In this way, IoT solutions can allow real-time monitoring and connection with central systems for automated burglar alarms. The monitoring framework is developed on the strength of the web application to obtain real-time display, storage, and warning functions for local or remote monitoring control. The monitoring system is stable and reliable when applying SHA-256.

scholarly journals The Smart Triad : Big Data Analytics , Cloud Computing and Internet of Things to shape the Smart Home, Smart City, Smart Business & Smart Country

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3594-3600 ◽  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Smart Home ◽  
Service Providers ◽  
Irrigation System ◽  
Electronic Devices ◽  
Big Data Analytics ◽  
User Privacy

Big data analytics, cloud computing & internet of things are a smart triad which have started shaping our future towards smart home, city, business, country. Internet of things is a convergence of intelligent networks, electronic devices, and cloud computing. The source of big data at different connected electronic devices is stored on cloud server for analytics. Cloud provides the readymade infrastructure, remote processing power to consumers of internet of things. Cloud computing also gives device manufacturers and service providers access to ―advanced analytics and monitoring‖, ―communication between services and devices‖, ―user privacy and security‖. This paper, presents an overview of internet of things, role of cloud computing & big data analytics towards IoT. In this paper IoT enabled automatic irrigation system is proposed that saves data over ―ThingSpeak‖ database an IoT analytics platform through ESP8266 wifi module. This paper also summarizes the application areas and discusses the challenges of IoT.

Trends and Technologies in Big Data Processing

2020 ◽  
pp. 17-42
Author(s):  
Amitava Choudhury ◽  
Kalpana Rangra
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Processing ◽  
Real Time ◽  
Computing Technology ◽  
Time Data ◽  
Big Data Processing ◽  
Real Time Data ◽  
Real Time Data Processing

Data type and amount in human society is growing at an amazing speed, which is caused by emerging new services such as cloud computing, internet of things, and location-based services. The era of big data has arrived. As data has been a fundamental resource, how to manage and utilize big data better has attracted much attention. Especially with the development of the internet of things, how to process a large amount of real-time data has become a great challenge in research and applications. Recently, cloud computing technology has attracted much attention to high performance, but how to use cloud computing technology for large-scale real-time data processing has not been studied. In this chapter, various big data processing techniques are discussed.

scholarly journals The application of e-commerce recommendation system in smart cities based on big data and cloud computing

2021 ◽  
pp. 26-26
Author(s):  
Yiman Zhang
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Collaborative Filtering ◽  
Real Time ◽  
Evaluation System ◽  
Recommendation System ◽  
Smart Cities ◽  
Personalized Recommendation ◽  
Current Recommendation ◽  
Recommendation Algorithm

In the era of big data, the amount of Internet data is growing explosively. How to quickly obtain valuable information from massive data has become a challenging task. To effectively solve the problems faced by recommendation technology, such as data sparsity, scalability, and real-time recommendation, a personalized recommendation algorithm for e-commerce based on Hadoop is designed aiming at the problems in collaborative filtering recommendation algorithm. Hadoop cloud computing platform has powerful computing and storage capabilities, which are used to improve the collaborative filtering recommendation algorithm based on project, and establish a comprehensive evaluation system. The effectiveness of the proposed personalized recommendation algorithm is further verified through the analysis and comparison with some traditional collaborative filtering algorithms. The experimental results show that the e-commerce system based on cloud computing technology effectively improves the support of various recommendation algorithms in the system environment; the algorithm has good scalability and recommendation efficiency in the distributed cluster, and the recommendation accuracy is also improved, which can improve the sparsity, scalability and real-time problems in e-commerce personalized recommendation. This study greatly improves the recommendation performance of e-commerce, effectively solves the shortcomings of the current recommendation algorithm, and further promotes the personalized development of e-commerce.

scholarly journals Seminar dan Workshop Internet of Things guna merealisasikan Pembelajaran Industri 4.0 di Sekolah dan Masyarakat

2021 ◽  
Vol 1 (1) ◽  
pp. 24-30
Author(s):  
Lukman Rosyidi ◽  
Muh Syaiful Romadhon
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Real Time

Revolusi Industri 4.0 telah membawa perubahan pada dunia. Berbagai teknologi baru seperti cloud computing, Internet of things, Big Data, artificial intelligence, dan advance robotics telah dan akan mengubah cara manusia dalam bekerja dan menjalankan kehidupan. Internet of things, atau dikenal juga dengan IoT, merupakan sebuah teknologi yang bertujuan untuk memperluas manfaat dari konektivitas internet yang tersambung secara terus-menerus. Saat ini, Internet of things(IoT) telah secara luas digunakan untuk meningkatkan kualitas kehidupan manusia. Kasus aplikasi IoT yang paling umum adalah mengumpulkan informasi tentang suatu obyek secara real time untuk kegiatan pemantauan dan analisis data. Informasi ini akan berguna untuk memberikan layanan yang lebih baik atau meningkatkan produktivita. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk menyebarluaskan pengetahuan pemrograman IoT untuk pemula, sebagai dasar untuk penguasaan penerapan IoT dan pembelajaran IoT pada tingkatan berikutnya. Antusiasme dan respon yang diberikan para peserta juga sangat bagus. Rata-rata peserta memberikan jawaban sangat puas dengan presentase sebesr 71%. Hanya 3% yang menjawab cukup puas sedangkan sisanya menjawab puas. Seluruh peserta sama sekali tidak ada yang menjawab puas dan kurang puas.

scholarly journals INTELLIGENT DEVELOPMENT OF BIG DATA ANALYTICS FOR MANUFACTURING INDUSTRY IN CLOUD COMPUTING

2019 ◽  
Vol 01 (01) ◽  
pp. 13-22 ◽  
Author(s):  
Abul Bashar
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Smart Home ◽  
Industrial Development ◽  
Manufacturing Industry ◽  
Big Data Analytics ◽  
City Development ◽  
Real Time Monitoring

Big-data analytics being a useful technique in the analyzing the deeper values hidden inside a huge set of data flow that are generated in our day today lives, has almost become more prominent in variety of applications such as industrial development, smart home to smart city development and security management etc., despite its high potentials the challenges incurred makes it insufficient with certain applications that include a real time monitoring, so the paper proposes the real time monitoring of the developing manufacturing industry by proffering the intelligent big data analytics and cloud computing to present with the maximum possible insights to improvise the process of the manufacturing , by retaining the product consistency, optimal throughput and increasing the productivity.

Waste Management System for Smart City Using IoT

2019 ◽  
pp. 1-15
Author(s):  
Golden Julie E.
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Waste Management ◽  
Smart City ◽  
Management System ◽  
Smart Cities ◽  
Smart Devices ◽  
Construction Technology ◽  
Waste Management System

In the present scenario, sensors place a major role for implementing smart devices. Internet of Things (IoT) is an advancement of sensors which can communicate with non-communicate things (devices). Many of the developed counties are using smartness in creating and communicating devices using IoT. In India, major challenges focus on how and where to implement smartness. Hence, authors found some different areas like healthcare, education, transport, water, energy, communication, security & safety, citizen services, and so on. All these areas are covered by a smart way using recent technology (IoT) in smart cities concepts. Various technologies like IoT, Big Data, and cloud computing are used for constructing smartness in the form of devices. In this Chapter, authors focus on a smart waste management system using IoT. They provide various smart bin construction technology, advantages, standards and challenges in detail. It is very useful to the reader to understand the various method of waste management in smart cities development using IoT.

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

2018 ◽  
Author(s):  
Sharnil Pandya ◽  
Hemant Ghayvat ◽  
Ketan Kotecha ◽  
Moi Hoon Yap ◽  
Prosanta Gope
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Real Time ◽  
Smart Home ◽  
Research Work ◽  
Video Data ◽  
Night Vision ◽  
Data Handling ◽  
Efficient System ◽  
Home Security

The proposed research methodology aims to design a generally implementable framework for providing a house owner/member with the immediate notification of an on-going 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), Cognitive Internet of Things, Internet of Medical Things, and Cloud Computing are expanding smart home concepts and solutions, and their applications. The primary objective of the present research work was to design and develop IoT and cloud computing based smart home solutions. In addition, we also propose 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 facility. 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.

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