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نتیجه جستجو - Smart Homes

تعداد مقالات یافته شده: 41
ردیف عنوان نوع
1 VisuaLizations As Intermediate Representations (VLAIR): An approach for applying deep learning-based computer vision to non-image-based data
تجسم ها به عنوان بازنمایی های میانی (VLAIR): رویکردی برای به کارگیری بینایی کامپیوتری مبتنی بر یادگیری عمیق برای داده های غیر مبتنی بر تصویر-2022
Deep learning algorithms increasingly support automated systems in areas such as human activity recognition and purchase recommendation. We identify a current trend in which data is transformed first into abstract visualizations and then processed by a computer vision deep learning pipeline. We call this VisuaLization As Intermediate Representation (VLAIR) and believe that it can be instrumental to support accurate recognition in a number of fields while also enhancing humans’ ability to interpret deep learning models for debugging purposes or for personal use. In this paper we describe the potential advantages of this approach and explore various visualization mappings and deep learning architectures. We evaluate several VLAIR alternatives for a specific problem (human activity recognition in an apartment) and show that VLAIR attains classification accuracy above classical machine learning algorithms and several other non-image-based deep learning algorithms with several data representations.
keywords: تجسم اطلاعات | شبکه های عصبی کانولوشنال | تشخیص فعالیت های انسانی | خانه های هوشمند | بازنمایی داده ها | نمایندگی های میانی | تفسیر پذیری | یادگیری ماشین | یادگیری عمیق | Information visualization | Convolutional neural networks | Human activity recognition | Smart homes | Data representation | Intermediate representations | Interpretability | Machine learning | Deep learning
مقاله انگلیسی
2 A survey on blockchain, SDN and NFV for the smart-home security
مروری بر بلاک چین، SDN و NFV برای امنیت خانه های هوشمند-2022
Due to millions of loosely coupled devices, the smart-home security is gaining the attention of industry professionals, attackers, and academic researchers. The smart home is a typical home where many sensors, actuators, and IoT devices are used to automate home users’ daily activities. Although a smart home provides comfort, safety, and satisfaction to users, it opens up multiple challenging security issues when automating and offering intelligent services. Recent studies have investigated not only blockchain but SDN and NFV to address these challenges. We present a comprehensive survey on blockchain, SDN, and NFV for smart-home security. The paper also proposes a new architecture of the smart-home security. First, we describe the features of the smart home and its current security issues. Next, we outline the characteristics of blockchain, SDN, and NFV, including their contribution to improving the smart-home security. While SDN enhances the management and access control of the home network by providing a programmable controller to home nodes, NFV implements the functions of network appliances (e.g., network monitoring, firewall) as virtual machines and ensures the high availability of the network. Blockchain reinforces IoT data’s privacy, integrity, and security and improves the trust in transactions among untrusted IoT devices. Finally, we discuss open issues and challenges in the field and propose recommendations towards high-level security for the smart home.
Keywords: Smart homes | IoT | Privacy | Security | Trust | Blockchain | SDN | NFV
مقاله انگلیسی
3 Cyber Physical Systems: Analyses, challenges and possible solutions
سیستم های فیزیکی سایبری: تحلیل ها، چالش ها و راه حل های ممکن-2022
It is becoming more difficult to protect the authentication of our data in todays world of smart living. On the one hand, we are able to live in smart homes and smart cities with ease. Even if we use the most complicated passwords, we cant be sure that the Internet of Things and the Internet of Everything are safe. One way to make sure people and things are safe is to use Multi-Factor Authentication. Also, a big and complicated system needs more efficient and robust solutions for real, and strong, security, so this is important. There are a lot of smart ways to solve problems today. For this reason, the internet of things is being used in every possible field or application. This new ecosystem, which is called Cyber Physical Systems, was built by IoTs. Cyber-Physical Systems use computing, communication, and control to make new technology or the next generation of engineered systems. In the last decade, there has been a lot of work done on cyber physical systems that we didnt expect. There have been a lot of threats, challenges, and important issues in the last decade. We have a big problem with the security of CPS because the basic blocks used to make them are very different. Even if were talking about natural gas systems or transportation systems or other automated systems, they all have something to do with CPS, no matter what. These days, CPSs systems are used for energy, transportation, the environment, and health care, among other things. This article talks about a number of problems that need to be solved by researchers and scientists (working related to respective area, i.e., CPS). As a result, this article also talks about a partial survey of important research issues, and an overview of several research projects that have been done in the last decade by a number of different people to improve CPS.
keywords: سیستم های فیزیکی-سایبری | اینترنت اشیا | اینترنت همه چیز | چالش ها | امنیت و حریم خصوصی | Cyber-physical systems | Internet of things | Internet of everything | Challenges | Security, and privacy
مقاله انگلیسی
4 A review on speaker recognition: Technology and challenges
مروری بر تشخیص گوینده: فناوری و چالش ها-2021
Voice is a behavioral biometric that conveys information related to a person’s traits, such as the speaker’s ethnicity, age, gender, and feeling. Speaker recognition deals with recognizing the identity of people based on their voice. Although researchers have been working on speaker recognition in the last eight decades, advancements in technology, such as the Internet of Things (IoT), smart devices, voice assistants, smart homes, and humanoids, have made its usage nowadays trendy. This paper provides a comprehensive review of the literature on speaker recognition. It discusses the advances made in the last decade, including the challenges in this area of research. This paper also highlights the system and structure of speaker recognition as well as its feature extraction and classifiers. The use of speaker recognition in applications is also presented. As recent studies showed the possibility of fooling machine learning into giving an incorrect pre-diction; thus, the adversarial attack is also discussed. The aim is to enhance researchers’ under-standing in the area of speaker recognition.
Keywords: Biometric | Open system | Speaker recognition | Text-independent | Feature extraction | Classifier | Machine learning | Adversarial attack
مقاله انگلیسی
5 Intelligent energy management in off-grid smart buildings with energy interaction
مدیریت انرژی هوشمند در ساختمانهای هوشمند خارج از شبکه با تعامل انرژی-2020
The energy interaction between smart homes can be a solution for developing renewable energy systems in residential sections and optimal energy consumption in homes. The main objectives of such energy interactions are to increase consumer participation in energy management‘ boost economic efficiency‘ increase the user’s satisfaction by choosing between electricity sellers and buyers‘ and reduce the electricity purchased from the grid especially at peak hours. Thus, the innovations of this study includes defining an energy exchange method between smart buildings in an off-grid mode considering renewable energy systems, considering both thermal and electrical equilibrium and studying the lightning loads. it is assumed, here, that smart homes are off-grid‘ and the critical loads are supplied by the energy transfer between the homes using mixed integer linear programming. A compromise between the cost and time interval for using home appliances is considered to provide consumer’s comfort. An objective function is introduced considering programmable and non-programmable loads‘ thermal and electrical storages and lighting loads aiming to optimize the cost of energy between different smart buildings. Based on the method, which is tested in two different cases not only does the total cost of the smart buildings decrease but also the cost is reduced significantly when lightning loads are managed.
Keywords: Energy management | Smart homes | Smart microgrid | Energy storage system | Wind turbine
مقاله انگلیسی
6 Internet of Things: Evolution and technologies from a security perspective
اینترنت اشیاء: تکامل و فناوری ها از دیدگاه امنیتی-2020
In recent years, IoT has developed into many areas of life including smart homes, smart cities, agriculture, offices, and workplaces. Everyday physical items such as lights, locks and industrial machineries can now be part of the IoT ecosystem. IoT has redefined the management of critical and non-critical systems with the aim of making our lives more safe, efficient and comfortable. As a result, IoT technology is having a huge positive impact on our lives. However, in addition to these positives, IoT systems have also attracted negative attention from malicious users who aim to infiltrate weaknesses within IoT systems for their own gain, referred to as cyber security attacks. By creating an introduction to IoT, this paper seeks to highlight IoT cyber security vulnerabilities and mitigation techniques to the reader. The paper is suitable for developers, practitioners, and academics, particularly from fields such as computer networking, information or communication technology or electronics. The paper begins by introducing IoT as the culmination of two hundred years of evolution within communication technologies. Around 2014, IoT reached consumers, early products were mostly small closed IoT networks, followed by large networks such as smart cities, and continuing to evolve into Next Generation Internet; internet systems which incorporate human values. Following this evolutionary introduction, IoT architectures are compared and some of the technologies that are part of each architectural layer are introduced. Security threats within each architectural layer and some mitigation strategies are discussed, finally, the paper concludes with some future developments.
Keywords: IoT | Internet of Things | Security | Cyber security | Secure by Design | Next Generation Internet | Smart city | Sustainable city | Energy reduction | Building Energy Management Systems
مقاله انگلیسی
7 Agent negotiation in an IoT-Fog based power distribution system for demand reduction
عامل مذاکره در سیستم توزیع برق مبتنی بر IoT-Fog برای کاهش تقاضا-2020
Growing energy demand is calling for an effective energy management. In smart homes all devices are connected to Internet by means of Internet of Things. There is a possible means of studying the consumer usage pattern and accordingly forecast their energy demand. Multi Agents has been used in computer science for a long time and applied for lot of applications for replicating the job of human. So towards monitoring and controlling the cyber physical systems, these multi agent system has been applied in smart transportation, smart cities, Smart Grid and so. This paper proposes a Multi-agent System (MAS) for smart energy management in an IoT based system. Inspired by the competition in human societies for accepting best proposals: this work proposes an Agent Negotiation system for demand reduction. The Agents in IoT system negotiate with the meter agent for accepting a proposal which will reduce the peak hour usage. The negotiation agent also negotiates with the meter agent for using energy when the availability of renewables are surplus. This negotiation is done with hundreds and thousands of homes thus helping Utilities to meet the supply-demand effectively. Consumers get the best pricing based on the accepted policies.
Keywords: Internet of Things | Multi-agent system | Negotiation | Distribution automation | Smart grid
مقاله انگلیسی
8 A Nash-bargaining model for trading of electricity between aggregations of peers
یک مدل چانه زنی نش برای تجارت برق بین تجمیع همتاها-2020
In the last several years, the growth in household solar generation and the lack of success of the feed-in-tariff programs have led to the rise of peer-to-peer (P2P) energy trading schemes among prosumers. However, a change that has started more recently is the growth of smart homes and businesses, of which loads are IoT controlled and are supported by advanced metering infrastructure (AMI). This has created a new opportunity for smart homes and businesses to form aggregations (coalitions) and participate in cooperative load management and energy trading. Unlike energy trading among individual prosumers in most P2P networks, a new trading opportunity that is emerging is between aggregations of peers of smart homes and businesses and electric ve- hicles (EVs). In this paper, we consider one such trading scenario between two aggregations, of which one has smart homes and businesses with load consuming entities (not prosumers), and the other has EVs only. The aggregation with smart homes and businesses derive cost reduction through optimal load scheduling based on load preferences, market-based pricing of electricity, and opportunity to trade (buy) energy from the aggregation with EVs. Whereas the aggregation of EVs optimally schedules charging to meet EV needs and uses stored energy to trade (sell). A generalized Nash bargaining model is developed for obtaining optimal trading strategies in the form of plain or swing option contracts. A sample numerical problem scenario is used to show that suitable contracts can be derived that allow aggregations of peers to mutually benefit from energy trading.It is shown that there exist numerous alternative optimal solutions to the Nash bargaining problem. The solutions comprise different combinations of strike price and option value, for all of which savings to the parties remain constant. For plain option, with a contract quantity of 1 MWh, the total savings generated is equivalent to the average price of 1.62 MWh of electricity. Interactions among contract parameters (such as strike price, option value, and option quantity) and the relative market power of the aggregations are also examined.
Keywords: Aggregation of peers | Peer-to-peer energy trading | Option contract | Nash bargaining solution
مقاله انگلیسی
9 A collaborative energy management among plug-in electric vehicle, smart homes and neighbors’ interaction for residential power load profile smoothing
مدیریت انرژی مشارکتی بین خودروهای برقی پلاگین ، خانه های هوشمند و تعامل همسایگان برای هموار کردن مشخصات بار توان مسکونی-2020
With the modernization of the smart grid, Plug-in Electric Vehicles (PEVs) have attracted attention thanks to the effective energy support through the bi-directional power flow exchanging. In particular, vehicle-to-home technology has drawn a significant interest in PEVs’ parked at smart home to enhance the power consumption profile. This paper proposes a collaborative energy management among PEVs, smart homes and neighbors’ interaction. For that, a new supervision strategy based on PEVs power scheduling for smoothing the residential power load profile is developed. The objective of this study is to improve the power demand profile by controlling the PEV power charging/discharging amount to fill the valley of the power consumption curve or by providing power to home especially during peak periods to shave peak. The home energy management for achieving a flattened power load profile is divided into two parts: a local control according to the base demand profile of the considering home, the availability of their PEVs, their arrival and departure times and their initial state of charge (SOC) values. A global control according to the power demand of the specific home, the total power demand of neighbors and the availability of PEVs’ neighbors (arrival and departure times, initial energy of the battery). The simulation results of the power load profile of such smart homes highlights the interaction between PEVs, smart home and their neighbors in order to flatten the power demand curve to the greatest extent possible.
Keywords: Plug-in electric vehicles (PEVs) | Smart home | Neighbors’ interaction | Collaborative energy management | Fill the valley | Shave peak | Smooth
مقاله انگلیسی
10 Home energy management system based on task classification and the resident’s requirements
سیستم مدیریت انرژی خانگی بر اساس طبقه بندی وظیفه و الزامات ساکنان-2020
In this paper, an approach for home energy management system is introduced that is based on task classification. The problem is to find the best task activation plan regarding the resident’s requirements and appliances constraints, considering time of use pricing. We show that to have a best task activation plan it is necessary to specify four specific values for each task. In this regard, a quadratic utility function is derived based on the law of diminishing marginal utility in microeconomic. With the parameters such as sensitivity index and monetary equivalent value, each task’s utility function can be configured in accordance to the resident’s personal preferences. In this model, the concept of tasks interaction are also taken into account, for the first time. The problem is transformed to a mixed integer nonlinear programming problem, so that the available commercial solvers can successfully solve it in an acceptable solving time. The outputs of numerical examples show that they are reasonable and can be considered as optimal or near optimal results. The results indicate that the less sensitive the resident is to changing his/her desire task parameters, the more profit he/she will get. It is also shown that by increasing the monetary equivalent value, the task activation is shifted toward the times that are more preferable or has more favorite environment conditions. These results as well as the acceptable solving times, show that the proposed approach can be a promising model for home energy management systems in the future smart homes.
Keywords: Home Energy Management System (HEMS) | Load scheduling | Smart grid | Task classification | Utility function | Time preference effect
مقاله انگلیسی
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