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ردیف | عنوان | نوع |
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1 |
Internet of Things-enabled Passive Contact Tracing in Smart Cities
ردیابی تماس غیرفعال با قابلیت اینترنت اشیا در شهرهای هوشمند-2022 Contact tracing has been proven an essential practice during pandemic outbreaks and is a
critical non-pharmaceutical intervention to reduce mortality rates. While traditional con-
tact tracing approaches are gradually being replaced by peer-to-peer smartphone-based
systems, the new applications tend to ignore the Internet-of-Things (IoT) ecosystem that is
steadily growing in smart city environments. This work presents a contact tracing frame-
work that logs smart space users’ co-existence using IoT devices as reference anchors. The
design is non-intrusive as it relies on passive wireless interactions between each user’s
carried equipment (e.g., smartphone, wearable, proximity card) with an IoT device by uti-
lizing received signal strength indicators (RSSI). The proposed framework can log the iden-
tities for the interacting pair, their estimated distance, and the overlapping time duration.
Also, we propose a machine learning-based infection risk classification method to char-
acterize each interaction that relies on RSSI-based attributes and contact details. Finally,
the proposed contact tracing framework’s performance is evaluated through a real-world
case study of actual wireless interactions between users and IoT devices through Bluetooth
Low Energy advertising. The results demonstrate the system’s capability to accurately cap-
ture contact between mobile users and assess their infection risk provided adequate model
training over time.
© 2021 Elsevier B.V. All rights reserved. keywords: بلوتوث کم انرژی | ردیابی تماس | اینترنت اشیا | طبقه بندی خطر عفونت | Bluetooth Low Energy | Contact Tracing | Internet of Things | Infection Risk Classification |
مقاله انگلیسی |
2 |
Towards automatic waste containers management in cities via computer vision: containers localization and geo-positioning in city maps
به سمت مدیریت خودکار ظروف زباله در شهرها از طریق بینایی کامپیوتری: محلی سازی ظروف و موقعیت جغرافیایی در نقشه های شهر-2022 This paper describes the scientific achievements of a collaboration between a research group and the waste
management division of a company. While these results might be the basis for several practical or commercial
developments, we here focus on a novel scientific contribution: a methodology to automatically generate geo-
located waste container maps. It is based on the use of Computer Vision algorithms to detect waste containers
and identify their geographic location and dimensions. Algorithms analyze a video sequence and provide an
automatic discrimination between images with and without containers. More precisely, two state-of-the-art
object detectors based on deep learning techniques have been selected for testing, according to their perfor-
mance and to their adaptability to an on-board real-time environment: EfficientDet and YOLOv5. Experimental
results indicate that the proposed visual model for waste container detection is able to effectively operate with
consistent performance disregarding the container type (organic waste, plastic, glass and paper recycling,…) and
the city layout, which has been assessed by evaluating it on eleven different Spanish cities that vary in terms of
size, climate, urban layout and containers’ appearance. keywords: Waste container localization | Deep Learning | Computer Vision | Object detection |
مقاله انگلیسی |
3 |
Smart City Data Science: Towards data-driven smart cities with open research issues
علم داده شهر هوشمند: به سوی شهرهای هوشمند مبتنی بر داده با مسائل تحقیقاتی باز-2022 Cities are undergoing huge shifts in technology and operations in recent days, and ‘data science’
is driving the change in the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR).
Extracting useful knowledge or actionable insights from city data and building a corresponding
data-driven model is the key to making a city system automated and intelligent. Data science
is typically the scientific study and analysis of actual happenings with historical data using a
variety of scientific methodologies, machine learning techniques, processes, and systems. In this
paper, we concentrate on and explore ‘‘Smart City Data Science’’, where city data collected from
various sources such as sensors, Internet-connected devices, or other external sources, is being
mined for insights and hidden correlations to enhance decision-making processes and deliver
better and more intelligent services to citizens. To achieve this goal, artificial intelligence,
particularly, machine learning analytical modeling can be employed to provide deeper knowledge
about city data, which makes the computing process more actionable and intelligent in various
real-world city services. Finally, we identify and highlight ten open research issues for future
development and research in the context of data-driven smart cities. Overall, we aim to provide
an insight into smart city data science conceptualization on a broad scale, which can be used
as a reference guide for the researchers, industry professionals, as well as policy-makers of a
country, particularly, from the technological point of view.
keywords: شهرهای هوشمند | علم داده | فراگیری ماشین | اینترنت اشیا | تصمیم گیری داده محور | خدمات هوشمند | امنیت سایبری | Smartcities | Datascience | Machinelearning | InternetofThings | Data-drivendecisionmaking | Intelligentservices | Cybersecurity |
مقاله انگلیسی |
4 |
The big picture on the internet of things and the smart city: a review of what we know and what we need to know
تصویر بزرگ در اینترنت اشیا و شهر هوشمند: مروری بر آنچه میدانیم و آنچه باید بدانیم-2022 This study examines how the application of the IoT in smart cities is discussed in the current
academic literature. Based on bibliometric techniques, 1,802 articles were retrieved from the
Scopus database and analyzed to identify the temporal nature of IoT research, the most relevant
journals, authors, countries, keywords, and studies. The software tool VOSviewer was used to
build the keyword co-occurrence network and to cluster the pertinent literature. Results show the
significant growth of IoT research in recent years. The most productive authors, journals, and
countries were also identified. The main findings from the keyword co-occurrence clustering and
an in-depth qualitative analysis indicate that the IoT is used alongside other technologies
including cloud computing, big data analytics, blockchain, artificial intelligence, and wireless
telecommunication networks. The major applications of the IoT for smart cities include smart
buildings, transportation, healthcare, smart parking, and smart grids. This review is one of the
first attempts to map global IoT research in a smart city context and uses a comprehensive set of
articles and bibliometric techniques to provide scholars and practitioners with an overview of
what has been studied so far and to identify research gaps at the intersection of the IoT and the
smart city. keywords: اینترنت اشیا | شهر هوشمند | مرور | کتاب سنجی | Internet of things | Smart city | Review | Bibliometrics |
مقاله انگلیسی |
5 |
A proactive role of IoT devices in building smart cities
نقش فعال دستگاه های اینترنت اشیا در ساخت شهرهای هوشمند-2022 Due to rapid advancement in technology the world is rapidly changed to face the upcoming challenges and going
towards automation. The use of various IoT devices is making a vast approach and every happening becomes part
of the network and due to that towns are converting into smart cities. The IoT devices collect the data of every
happening smartly and send it for further processing. An imperative part of these devices is containing the
wireless sensors used for building smart cities. A giant set of data is collected in the sensors and is stored in the
data center. Subsequently, the huge data becomes an exorbitant mountain that must be managed smartly if a
smooth operation is required. In this study, how such big data can be managed shrewdly is going to explore and
the proactive role of IoT sensors are investigated which helps in building the future smart cities more independently. The impact of services such as Smart transport, smart energy, smart infrastructure, smart health, smart
agriculture, and smart recreation in respect of smart cities and the old traditional city has been analyzed through
an Analytic Hierarchy Process (AHP). The obtained results showed a satisfactory level of local communities about
98% of people living in smart cities are satisfied in contrast to people living in old traditional cities and others
having a neutral opinion.
keywords: اتوماسیون | دستگاه های اینترنت اشیا | شهر هوشمند | سنسورهای بی سیم | داده های بزرگ | مجموعه غول پیکر | گزاف | Automation | IoT devices | Smart city | Wireless sensors | Big data | Giant set | Exorbitant |
مقاله انگلیسی |
6 |
A systematic review of technologies and solutions to improve security and privacy protection of citizens in the smart city
بررسی سیستماتیک فناوری ها و راه حل ها برای بهبود امنیت و حفاظت از حریم خصوصی شهروندان در شهر هوشمند-2022 The development of smart cities through digital communications has improved citizens’ quality of
life and well-being. In these cities, IoT technology generates vast amounts of data at any given
time, which is analyzed to provide services to citizens. In the proper implementation of these
cities, a critical challenge is the violation of citizens’ privacy and security, which leads to a lack of
trust and pessimism toward the services of the smart city. To ensure citizens’ participation, smart
city developers should adequately protect their security and privacy from gaining their trust. If
citizens don’t want to participate, the main benefits of a smart city will be lost. This article
presents a comprehensive review of smart city security issues and privacy. It provides a basis for
categorizing current and future developments in this area and developing a thematic classifica-
tion to highlight the requirements and security strategies for designing a smart and safe city. The
paper identifies current security and privacy solutions and describes open research challenges and
issues. An output of this study is a systematic map of literature on the subject that identifies
critical concepts, evidence, challenges, solutions, and gaps. It summarizes the findings into a body
of evidence that has previously been heterogeneous and complex. keywords: مرور سیستماتیک توصیفی | شهر هوشمند | اینترنت اشیا | حریم خصوصی | امنیت | Descriptive systematic review | Smart city | IoT | Privacy | Security |
مقاله انگلیسی |
7 |
An IoT-enabled intelligent automobile system for smart cities
یک سیستم خودروی هوشمند مجهز به اینترنت اشیا برای شهرهای هوشمند-2022 In our world of advancing technologies, automobiles are one industry where we can see
improved ergonomics and feature progressions. Artificial Intelligence (AI) integrated with
Internet of Things (IoT) is the future of most of the cutting-edge applications developed
for automobile industry to enhance performance and safety. The objective of this research
is to develop a new feature that can enhance the existing technology present in automo-
biles at low-cost. We had previously developed a technology known as Smart Accident
Precognition System (SAPS) which reduces the rate of accidents in automobile and also
enhance the safety of the passengers. Current research advances this technique by inte-
grating Google Assistant with the SAPS. The proposed system integrates several embedded
devices in the automobiles that monitor various aspects such as speed, distance, safety
measures like seatbelt, door locks, airbags, handbrakes etc. The real-time data is stored in
the cloud and the vehicle can adapt to various situations from the previous data collected.
Also, with the Google Assistant user can lock and unlock, start and stop, alert and do var-
ious automated tasks such as low fuel remainder, insurance remainders etc. The proposed
IoT enabled real-time vehicle system can detect accidents and adapt to change according
to various conditions. Further, with RFID keyless entry authentication the vehicle is secure
than ever before. This proposed system is much efficient to the existing systems and will
have a great positive impact in the automobile industry and society.
© 2020 Elsevier B.V. All rights reserved. keywords: هوش مصنوعی | سیستم هوشمند خودرو | اینترنت اشیا | شهرهای هوشمند | سیستم هوشمند | Artificial intelligence | Intelligent automobile system | Internet of Things | Smart Cities | Smart System |
مقاله انگلیسی |
8 |
Urban natural resource accounting based on the system of environmental economic accounting in Northwest China: A case study of Xi’an
حسابداری منابع طبیعی شهری بر اساس سیستم حسابداری اقتصادی محیطی در شمال غربی چین: مطالعه موردی شیان-2021 Drawing lessons from the System of Environmental and Economic Accounting Central Framework (SEEA-CF) and
Experimental Ecosystem Accounting (SEEA-EEA), China is carrying out a pilot project for ecosystem accounting
at the provincial level. Compiling and applying the principles, methods and ecosystem accounts of natural capital
accounting in Northwest cities are new explorations. This study considers the degradation and fragility of the
urban ecosystem in Xi’an and discusses urban natural resource (NR) accounting in terms of the physical quantity
and monetary value. We took Xi’an as a case to demonstrate how to use the SEEA to analyze NR changes and the
effectiveness of local eco-environmental management policies based on the characteristics of cities. The results
show that, compared with using the physical quantity, calculating the monetary value according to NR resto-
ration obligation, NR maintenance obligation better reflects the utilization level of urban NR, measures resource
depletion and degradation, and maximizes the utility of the accounting results. This study focuses on using NR
accounting methods for urban water resources, land resources and mineral resources, and evaluating ecosystem
services for purposes of ecological restoration. It lays a foundation for consolidating urban gross ecosystem
product accounting results in line with the SEEA and provides support for future study. keywords: پایتخت طبیعی | ارزش فیزیکی | ارزش پولی | رادیو | Natural capital | Physical value | Monetary value | SEEA |
مقاله انگلیسی |
9 |
An entity-relationship model of the flow of waste and resources in city-regions: Improving knowledge management for the circular economy
یک مدل ارتباط برقراری ارتباط از جریان ضایعات و منابع در مناطق شهری: بهبود مدیریت دانش برای اقتصاد دایره ای-2021 Waste and resources management is one of the domains where urban and regional planning can transition to-
wards a Circular Economy, thus slowing environmental degradation. Improving waste and resources manage-
ment in cities requires an adequate understanding of multiple systems and how they interact. New technologies
contribute to improve waste management and resource efficiency, but knowledge silos hinder the possibility of
delivering sound holistic solutions. Furthermore, lack of compatibility between data formats and diverse defi-
nitions of the same concept reduces information exchange across different urban domains. This paper addresses
the challenge of organising and standardising information about waste and resources management in city
regions.
Given the amount and variety of data constantly captured, data models and standards are a crucial element of
Industry 4.0. The paper proposes an Entity-Relationship Model to harmonise definitions and integrate infor-
mation on waste and resources management. Furthermore, it helps to formalise the components of the system
and their relationships. Semi-structured interviews with government officials, mobile app developers and aca-
demics provided insights into the specific system and endorsed the model. Finally, the paper illustrates the
translation of the ERM into a relational database schema and instantiates Waste Management and industrial
Symbiosis cases in Buenos Aires (ARG) and Helsingborg (SWE) to validate its general applicability. The data
model for the Circular Flow of Waste and Resources presented here enhances traditional waste management
perspectives by introducing Circular Economy strategies and spatial variables in the model. Thus, this research
represents a step towards unlocking the true potential of Industry 4.0. keywords: شهرهای دایره ای | مدیریت زباله | اقتصاد دایره ای | صنعت 4.0 | مدل ارتباط برق | sql | Circular cities | Waste management | Circular economy | Industry 4.0 | Entity-relationship model | SQL |
مقاله انگلیسی |
10 |
A primer of knowledge management for smart city governance
آغازگر مدیریت دانش برای حکمرانی شهر هوشمند-2021 The concepts of smart city cannot be understood without examining their links with the knowledge society. In
this kind of society, knowledge must be considered as a capital shared not only with experts, but also with
citizens, within the target of sustainable development. After studying those concepts, the scope is to examine how
human knowledge and artificial intelligence can be combined in geographic knowledge systems, essentially
based on machine-processable knowledge and the concept of rules. Several geospatial rules are detailed in order
to distinguish several categories implying locational issues. Then, a general structure for geographic knowledge
base systems is given together with some fundamental elements for an infrastructure in which human collective
intelligence is a key-element. To conclude this paper, a research agenda is given to integrate urban and regional
management into the knowledge society. keywords: جامعه دانش | شهرهای هوشمند | برنامه ریزی شهری | سیستم های دانش جغرافیایی | قوانین جغرافیایی | مدیریت دانش | Knowledge society | Smart cities | Urban planning | Geographic knowledge systems | Geospatial rules | Knowledge management |
مقاله انگلیسی |