Machine Learning Techniques and Analytics for Cloud Security. Группа авторов
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days, millionaires used to keep housekeepers and other sorts of human assistance for easing up their day. But, for the common man in the society, they were not eligible to taste the crunch of that facility. Even today, when technology is so close by, only established and wealthy people in this contemporary civilization are benefited with these new technologies of elegant house, as these devices are still too expensive. Since everyone in this society are not so wealthy enough to afford smart home kit, thus the need for these in expensive smart kits keeps growing.
4.5 Motivation of the Project
This project proposes one very low-priced economical system, where Google Assistant technology (provided by Google to all their OS, and if necessary, it can be downloaded to other smart phone makers too like IOS by Apple) is utilized: the IFTTT server and application, The Blynk application, and Google Cloud Console. In the hardware part, The NodeMCU 8266 micro-controller acts as the major communicator as it receives and sends data to our apps and server, along with a relay board of 4/8 channel, whose regulatory voltage is 5 V and has the capability for handling 10-A current through it. We use our natural language to give command to our Google Assistance and receive data on our Blynk app. We have hereby segregated the total manuscript into two parts: at first, the device, and second, the control unit.
4.6 Smart Informative and Command Accepting Interface
Passive Intelligence (PI) is a very important aspect in today’s world and makes a paradigm shift in view of industry initiatives for realizing smart environments. Everyday’s smart devices like smart bag, smart watch, and smart wallet provide that required heterogeneous intelligent interfaces along with other natural devices, and these together makes a complex computing scenario, which, thereafter, generates the vision of PI. The environment becomes respondent to each individual, and therefore, anyone can interact with the surrounding with 1:1 basis. Therefore, user-empowered smart environment can be generated using PI, which provides the required support to human for various interactions.
In this connection, it should be mentioned that the environment, interfaced with PI, may be the home (comfortable) or a distributed one. For the said purpose, different smart technologies are considered as per the demand. All these technologies are integrated with the environment, for the purpose of sensing and data processing. Networking is also an important phase of this integration in order to provide remote service and also of digital materials. The actual question comes to the embedding of all these smart devices, and here lies the real challenge of PI.
PI can be obtained at the home comfort when proper key technological fruits are perfectly blended with virus smart interfaces (programmable). For the purpose, several smart devices and appliances are invoked, and anyone can be considered as an interface with the real world. In this particular work, authors have tried and successfully implemented a mirror interface with proper incorporation of smart informative system, precisely to get smart home environment. This is depicted in Figure 4.2, embedded with Google Cloud Console. The console has an interface with API controller.
Figure 4.2 Command accepting interface.
The major objective of making a PI at the home is originated from the safety and security concern, associated with efficiency of the system along with convenience. Precisely, elderly people and people with physical disabilities required better attention, when other family members are absent. PI greatly influences not only home automation systems, but also socialization, communication, entertainment, refreshment, proper rest, and various physical activities like sports, working, online learning through MOOCs or in general YouTube videos.
Another aspect that will engage their footstep with these PI modules will be digital marketing. Henceforth, proper architecture should be considered for convenient and user-friendly PI design where both the technological advancement should be clubbed with home comfort and convenient for the residents.
4.7 Data Flow Diagram
The workflow for the proposed work can be explained using the dataflow diagram described in Figure 4.3. A bidirectional network is established between mosquito server and IoT controller where data is continuously flowing and periodic update is taking place. The mosquito server is fed through IFTTT, whereas all the applets (including triggering applet) are given similar instructions by the same. Google Cloud Console is the heart of this total workflow, which always dynamically interacts with command interface. It also makes a bidirectional communication with IFTTT, console APIs, and search console. Console APIs receives and also sends commands to command APIs. Web results are retrieved from the search console. The transfer of data and different messages are schematically represented in the diagram given below (Figure 4.2).
Figure 4.3 Dataflow diagram for the message, command, and data transfer.
4.8 Components of Informative Interface
The most important interface is the mirror. The mirror considered here is architecture for doing multiple functions in same time slot, i.e., the concept of multiplexing is applied. The interface is made in such a way that even though it provides us with the mirror like effect, it also smart enough to view us multiple information like news, clock, calendar events, and fitness tracking on the background. Information is relayed with the help of a LCD screen behind the glass. The key factor is the smoothness of the surface, as rough surfaces scatter light instead of reflecting it. Since the propositions of installing multiple smart informatics are embedded inside the system as per user’s choice.
One of the major interfaces is clock, which is real time and updates itself using time server of Google NTP (Network Time Protocol). NTP provides accurate and synchronized time across the Internet.
On the top left position of the mirror, we have the email sync option. This uses SMTP protocol to receive mails from your mailing servers to the screen. Our mirror has only the option of incoming mailing view notification feature for obvious reasons.
Uber is the largest cab industry business globally recognized. Uber has multiple integrations with Google and other smart device manufacturers. Uber has free API distribution developer platform that provides us with the API keys for free. So, we have used that API interface along with our cloud server to be more specified, Google Cloud Console. To obtain the data against our Uber account that are sync to the Uber Technologies Servers from our mobile phones, we have used a buffer mosquito server in between UBER and our Google Cloud Console. Schematic block diagram is given in Figure 4.4.
Now, we consider a music streaming device in digital form, called Spotify that provides access of digital audio and video files from a normally huge database along with podcasts and videos. The major acceptance and corresponding overwhelming response to Spotify is due to the fact that all the contents under this umbrella are free with a simple authentication through email or Facebook account. This module shows user the current playback on Spotify app from any devices like iPad, iPhone, any Android Phones, and computers using the same Spotify account. Block diagram is given in Figure 4.5.