Home Appliance Control and Monitoring System Model Based on Cloud Computing Technology

Home Network System(HNS), which connects home appliances and sensors to networks, has been researched actively. HNS makes it possible to remote-control and monitor home appliances. However, use of these services has been limited to home appliances and sensors in HNS.In this paper, we present integrated services combining RSS documents and HNS with our RSS conversion service. In our service, the hyperlink in each item on an RSS document is replaced to a WebAPI of home appliance control. This converted RSS(integrated RSS) can control home appliances by clicking items in an RSS reader.

Purpose– Cloud Computing (CC) technology is getting implemented rapidly in the educational sector to improve learning, research and other administrative process. As evident from the literature review, most of these implementations are happening in the western countries such as USA, UK, while the level of implementation of CC in developing countries such as India is rare. Moreover, implementing CC technology in the educational sector require various decisions to be made by the managers of the Information Technology (IT) department such as selecting suitable deployment model, vendor providing cloud service, etc. in their respective university or institute. The purpose of this paper is to attempt to address one such decision. Since, different types of CC deployment are available; selecting a suitable one plays a key role, as it might have an impact on the requirements of various stakeholders such as students, teachers, administrative staff (especially the staff members in the IT department), etc. apart from affecting the overall performance of the facilities such as a laboratory. Naturally, a proper decision by analysing multiple perspectives has to be made while carrying out such strategic initiatives by any educational institute.Design/methodology/approach– A case study methodology has been chosen as the research methodology to discuss and demonstrate the above decision problem that was faced in real time by one of the educational institutes in India, offering high-quality management education. The IT managers of this institute were planning to switch over to CC technology for the computer laboratory and they have to make a decision of choosing suitable alternative CC deployment models such as private cloud (PRC), public cloud (PUC), community cloud (COC), hybrid cloud (HYC), etc. by analysing and comparing them based on various factors and perspectives such as elasticity, availability, scalability, etc. Since, multiple factors are involved in making such a strategic decision, the most commonly used Multi-Criteria Decision Making (MCDM) model – namely, the Analytic Hierarchy Process (AHP) is used as a decision support during the decision making process.Findings– The team of decision makers, who were planning to implement CC in the case institute, found that PRC is best as they believed that it would provide adequate cost savings, apart from providing necessary security to maintain confidential information such as student's detail, grades, etc.Research limitations/implications– The results obtained are based on a single case study. Hence, they cannot be generalized for institutions across educational sector. However, the decision making situation and understanding its impact on the stakeholders of the educational institute can be common across various educational institute.Practical implications– Using a real-life case study of an educational institute, this paper presented a strategic decision making situation, which needs to be considered by the IT managers of the educational institutes when they decide to switch over to CC technology. Various criteria to be considered during the decision making process was identified from the literature review were identified and enumerated. These factors would useful for the IT managers of the different educational institute and they can suitably add or delete these decision criteria as per their requirements and situation at hand. Moreover, the algorithm of AHP, which was used as a decision support, was presented in a step-by-step manner, which should be beneficial for the practitioners to apply the same for similar decision making situations.Originality/value– It is believed that this paper would be the first to report on a strategic decision of choosing the deployment model for CC technology especially in the educational sector. Similarly, this paper would also contribute to the field of CC, as it lists out the decision criteria that are to be considered for making the above decision, which has not got adequate importance. Lastly, this paper is also unique in the realm of AHP because application for a decision problem in the field of CC especially in the educational sector is least reported.

During the last decade the emergence of Internet of Things (IoT) based applications inspired the world by providing state of the art solutions to many common problems. From traffic management systems to urban cities planning and development, IoT based home monitoring systems, and many other smart applications. Regardless of these facilities, most of these IoT based solutions are data driven and results in small accuracy values for smaller datasets. In order to address this problem, this paper presents deep learning based hybrid approach for the development of an IoT-based intelligent home security and appliance control system in the smart cities. This hybrid model consists of; convolution neural network and binary long short term model for the object detection to ensure safety of the homes while IoT based hardware components like; Raspberry Pi, Amazon Web services cloud, and GSM modems for remotely accessing and controlling of the home appliances. An android application is developed and deployed on Amazon Web Services (AWS) cloud for the remote monitoring of home appliances. A GSM device and Message queuing telemetry transport (MQTT) are integrated for communicating with the connected IoT devices to ensure the online and offline communication. For object detection purposes a camera is connected to Raspberry Pi using the proposed hybrid neural network model. The applicability of the proposed model is tested by calculating results for the object at varying distance from the camera and for different intensity levels of the light. Besides many applications the proposed model promises for providing optimum results for the small amount of data and results in high recognition rates of 95.34% compared to the conventional recognition model (k nearest neighbours) recognition rate of 76%.

Traditionally, home appliances are controlled by switches or remote controllers manually. In order to control the appliances, a user have to be near the switches or carry remote controllers all the time. To alleviate this inconvenience, this paper proposes a control system for home appliances using human speech and context information. We present an architecture of the control system and a process to control home appliances composed of three steps: speech detection, speech recognition, and command execution. To validate our system, we show two useful case studies by testing it at POSTECH smart home and UPnP-OSGi simulator.

Cloud computing has become a generic umbrella term for the flexible delivery of IT resources—such as storage, computing power, software development platforms, and applications—as services over the Internet. The foremost innovation is that the IT infrastructure no longer lies with the user, breaking up the previously monolithic ownership and administrative control of its assets. The combination of cloud computing and semantic technologies holds great potential. In this chapter, we analyze three ways in which cloud computing and semantic technologies can be combined: (1) building on cloud computing technologies, e.g. from the area of distributed computing, to realize better semantic applications and enable semantic technologies to scale to ever larger data sets, (2) delivering semantic technologies as services in the cloud, and (3) using semantic technologies to improve cloud computing, in particular to further improve automatic data-center management. For each of these dimensions we identify challenges and opportunities, provide a survey, and present a research roadmap.

Due to the rapid increase in the amount of data that people need to deal with computing tasks, such as distributed computing, cloud computing and other technologies are more and more concerned by most people. In recent years, with people's attention to information security and personal privacy protection, cloud computing security has gradually become the focus of researchers. In the cloud computing environment, massive distributed data storage and management and data centralization autonomy can control the data mechanism, and distribute management of redundant data and transaction processing. These management and application are generally through the distributed database for actual operation, from the user's point of view, the access process to the distributed database is transparent. In fact, from the user's point of view, a single distributed database is essentially a combination of a group of databases stored on multiple computers. This paper studies the distributed data processing system based on cloud computing technology.

Recently, there has been much effort in providing information technology into home appliances. Home network may link appliances, sensors, actuators, switches, controllers, and user interfaces to create novel applications and provide an infrastructure for multimedia distribution. However, there are various technologies of the home networking, which makes it difficult to give only one solution. Many developers and standardization organizations considers a home gateway as a good solution. In this paper, we propose a new architecture of a home gateway supporting various home network technologies such as IEEE1394, Bluetooth, LonWorks, wireless LAN, HPNA or implement Bluetooth technology using IP as a test model for our home gateway.

The paper proposes the method of building the electric power marketing business application system based on the cloud computing and microservices architecture technologies to solve the issues of the current system with the concentrated infrastructure and the monolithic architecture which are difficult to support the business processing in very large scale and the evolution of the electric power marketing business. The paper first introduces the current electric power marketing business application system and highlights its main drawbacks. Then it proposes the method to build the innovative electric power marketing business application system with the main technical characteristics as follows: the IaaS part of the application system has the distributed infrastructures with the IT resource elastic management and powerful horizontal scalability brought by the cloud computing technology; its PaaS part is the service platform with the components of the data processing, information integration, application building, and cloud service center to provide the several cloud services, such as one-click deployment, flexible scaling, fault self-healing, gray distribution, full-link monitoring and other cloud service capabilities; and its SaaS part has the microservices architecture with the features of servitization, componentization, decentralization, independent deployment etc. Finally, the suggestions are given to design the microservices for the electric power marketing business application.

Cloud computing and big data: Technologies and applications

With the rapid development of virtualization, cloud computing and other technologies, and their gradual application in various industries, how to use the cloud computing infrastructure well and make the cloud computing play the maximum capacity is an important issue in cloud computing technology. In this context, the concept of "cloud-native" was born. With the development of cloud-native technology, its related research has gradually become a field of concern and research for scholars, but there is still a lack of research on the development trend of cloud-native technology. Therefore, in this paper, 904 high-quality papers were downloaded from web of science and correlation analysis was conducted by Citespace and VOSviewer with the help of bibliometric research methods, including literature quantity analysis, co-citation analysis, keyword co-occurrence analysis and research hotspot analysis.

With the rapid development of economy, science, and technology, people have higher and higher requirements for the quality of home life, and smart home systems are required to have higher convenience and comfort. The continuous development of embedded technology, short‐range wireless communication technology, and microcontroller technology provides a new development direction for the research and development of smart home systems. Under the premise of fully studying the research status and development trend of smart home systems, this paper combines embedded technology, ZigBee wireless communication technology, voice recognition technology, GSM communication technology, etc., and proposes a ZigBee‐based smart voice home appliance control system. The system adopts ZigBee wireless communication to form a comprehensive management system for household electrical appliances, electronic and electrical equipment, etc., for household electrical control, intelligent security, and environmental monitoring. This paper designs the overall scheme of a smart home control system based on voice recognition technology. According to this scheme, the hardware and software of the system are designed, and the wireless communication method combining Wi‐Fi and RF (radio frequency) of the system is also determined. In order to make the system more humane, two sets of control schemes, voice control and button control, are designed according to the system’s functional requirements. In the voice control solution, the user first reads the control commands set in the voice library on the smart terminal, and then, the system automatically recognizes the commands read by the user. After the recognition is successful, the user can control the home appliances through the command. In the key control scheme, users can control home appliances through keys on the smart terminal. The upper computer transplants the audio library and the algorithm studied in this paper to realize the audio collection and storage, the confirmation of family members, and the recognition of voice commands; the lower computer is used for real‐time collection of environmental information and wireless control of home facilities. After the system is started, the family members are first confirmed by voice, and then, the voice command recognition result and real‐time environmental information jointly decide to form a control command. The upper computer sends the control command to the lower computer through the serial port to control the corresponding home equipment. The system is tested and analyzed under experimental conditions. The test results show that the system can control home facilities through voice commands combined with real‐time environmental information while confirming family members.

Mickey Mouse controls several brooms using a magic wand in a Disney movie. Can we control home appliances in a similar way? MagicWand makes this dream comes true. Using MagicWand, we can operate more than one home appliance by intuitive actions. MagicWand has two 3-axis accelerometers to detect a control target by just pointing and to recognize command actions which are classified into some intuitive attributes common to multiple home appliances. It generates the control commands and sends them to the targeted home appliances via Bluetooth. We have connected it with the home network appliance system 'FEMINITY/spl trade/' and realized actual operation of air conditioner, lights, and so on.

OSGi-based services architecture for Cyber-Physical Home Control Systems

To meet the demands of multiple communication between control terminal and home appliances in the Smart Home environment, a designed proposal of common use communication node(CN) is presented, especially a high-power and wide-angle infrared communication system. The main function of the system, design methods of hardware structure and software are proposed. The software development process of the remote program download is also discussed in detail. In order to reduce the error rate of communication, a method of cyclic codes programming is applied in this design. Experiment results show that the communication node has great value for practical applications, and meets the requirements of high-performance Smart Home system.

Recent advances in multimedia network systems and mechatronics have led to the development of a new generation of applications that associate the use of various multimedia objects with the behavior of multiple robotic actors. The connection of audio and video devices through high speed multimedia networks is expected to make the system more convenient to use. For example, many home appliances, such as a video camera, a display monitor, a video recorder, an audio system and so on, are being equipped with a communication interface in the near future. Recently some platforms (i.e. UPnP 1 , HAVi 2 and so on) are proposed for constructing home networks; however, there are some issues to be solved to realize various services by connecting different equipment via the pervasive peer-to-peer network. UPnP offers network connectivity of PCs of intelligent home appliances, practically, which means to require a PC in the network to control other devices. Meanwhile, HAVi has been developed for intelligent AV equipments with sophisticated functions using high CPU power and large memory. Considering the targets of home alliances are embedded systems, this situation raises issues of software and hardware complexity, cost, power consumption and so on. In this study, we have proposed and developed the service oriented network architecture for control and management of home appliances, named SONICA (Service Oriented Network Interoperability for Component Adaptation), to address these issues described before.