Smart Cities are transforming our urban life with digital technologies, offering new citizen-centric public services, optimizing the usage of resources and reducing the impact of service provisioning on the environment. Cities are too big to ignore, they are at the core of our work and leisure lives, hosting the majority of World's population, and the majority of its innovation infrastructure and assets.

Regarding key fundamental dynamics and mobility issues, many cities continue to grow in world-wide while demographic aging will also create pressure of the costs of running staff-intensive mobility infrastructure. It is necessary to improved performance in basic city management areas starting from smart and sustainable mobility, traffic and road networks, to transport systems, but also considering street cleaning to water management, to sustainable energy and affordable low carbon environments.

Generally, a smart city combines legacy networks and new communication architectures in order to achieve compatibility and interoperability among public administrations, operators, companies and population. Then, it goes beyond the use of ICT to provide new advanced services in diverse business and technological domains, such as urban transports, water supply, disposal facilities, lightning, heat buildings and so on. To this aim, the integration of information and communication systems, sensors and data analytics over different systems and infrastructures of a city is necessary.

Topics include, but are not limited to, the following:

Applications for Smart Cities able to leverage Big-Data Applications, ICT devices used in Factory of the Future, HPC, Industrial Processes, Energy Efficiency Systems, Social Platforms, etc.
Building Trust-based communication and computing systems for IoT and Clouds applications being Secure for Citizens
eHealth applications for Citizens.
Connecting in City Buildings for optimizing resources and utilities.
Software engineering methodology for the design of Smart Cities Systems
Energy Efficient and Green Software-defined Infrastructures aimed at Smart Cities facilities.
Re-allocation of resources and services (independently of their location) across distributed computing and geographically separated data storage and processing infrastructures. Inter-Cities along with Federation Services: availability, Disaster recovery, etc.
Federation of Services (IaaS, PaaS and SaaS) aimed at Public Administrations
Service discovery in Smart Cities - device Discovery and Data Discovery.
Easy and Large Deployment and autonomic management of densely interconnected and decentralised Cloud, Networks and IoTs infrastructures aimed at Smart Cities.
Control Architectures/Network Programmability in Smart Cities aimed at mobility, traffic and road networks, transport systems, energy, economy, and so on.
ICT applications enabling Energy-aware, smart and sustainable mobility solutions for Smart Cities.
Verification/Debugging/ Auditing Tools for all Applications in Smart Cities Domains
Energy-aware and sustainable computing solutions for Smart Cities applications

Andrea Prati (University of Parma)
Antonio Celesti (Universitá degli Studi di Messina)
Antonio Jara (University of Applied Sciences Western Switzerland)
Bin Guo (Northwestern Polytechnical University)
Burak Kantarci (University of Ottawa)
Dhananjay Singh (Hankuk University of Foreign Studies, South Korea)
Luca Foschini (University of Bologna)
Marco Zappatore (University of Salento)
Maria Fazio (Universitá degli Studi di Messina)
Philipp Leitner (University of Zurich)
Rajiv Ranjan (Newcastle University)
Yanmin Zhu (Shanghai Jiao Tong University)
Mohd Abdul Ahad (Jamia Hamdard, India)
Sérgio Adriano Fernandes Lopes (University of Minho Portugal)
Gautami Tripathi (School of Engineering Sciences and technology, Jamia Hamdard, India)
Anand Nayyar (Duy Tan University, Viet Nam)
Yuanqing Zheng (The Hong Kong Polytechnic University)
Nishu Gupta (Vaagdevi College of Engineering, India)

Henrique Santos¹

Henrique M. Dinis Santos received his first degree in Electric and Electronic Engineering, from the University of Coimbra, Portugal, in 1984. In 1996 he received the Ph.D. degree in Computer Engineering, from the University of the Minho, Portugal and the habilitation degree in 2013, by the same institution. Currently, he is an Associate Professor at the Information Systems Department, University of Minho, being responsible for several graduate and postgraduate courses. The research work has been framed within ALGORITMI Research Centre, at the same university, where he is responsible by the supervision of several postgraduate students and the coordination of several R&D projects, mainly in the Information Security area – emphasis on Intrusion Detection, biometrical technologies and Information Security Management – and Computer Architecture area – emphasis on Computer Vision and Cloud Computing. He authored and co-authored several scientific publications in journals, conferences and books within his field of interests and co-authored a patent with an industrial partner, in 2012, in the biometric area. He is also the President of a national Technical Committee (CT 136) for information system security standardization, Vice President for Conferences and Workshops of IEEE Education Society, President of the Portuguese Association for Data Protection (APPD) and integrates frequently advice and scientific committees supporting civil, governmental and military organizations, concerning Information Security subjects. During the second semester of 1990, under an ERASMUS program, he was teaching at the University of Bristol, United Kingdom, where he was recognized as University Academic staff.

Sara Paiva²

Sara Paiva is an Associate Professor at the Polytechnic Institute of Viana do Castelo, a PhD in Informatics Engineering from University of Vigo in 2011 and a Postdoctoral Researcher at the University of Oviedo since January 2018, under advanced driving assistants and urban mobility. She is the coordinator of a recently created research centre in the Polytechnic Institute of Viana do Castelo. Her main line of research is mobility solutions with a focus on accessibility and social inclusion and has oriented several final projects of Bachelor and Master in her main line of work. She is frequent book editor of Springer and IGI books, has authored and co-authored several scientific publications in journals and conferences, is a frequent reviewer of international journals and international conferences.

1: University of Minho, Portugal
2: Instituto Politécnico de Viana do Castelo, Portugal

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Apps in Time of Pandemic: Digital Usage and Gratifications in Transition towards #SmartCity
Appears in:
sc 18: e9

Authors:
Surhita Basu, Baby Gharami

Published:
19th Jan 2021

Abstract:
INTRODUCTION: The study explores how during COVID-19 pandemic online apps helped people applying uses gratification paradigm to identify needs, usages and gratification of users. OBJECTIVES: The paper investigates how COVID-19 pandemic has affected the usage pattern of onlin…INTRODUCTION: The study explores how during COVID-19 pandemic online apps helped people applying uses gratification paradigm to identify needs, usages and gratification of users.

OBJECTIVES: The paper investigates how COVID-19 pandemic has affected the usage pattern of online apps? What is the gratification level of using online apps during COVID-19 pandemic? How users perceive the use of online apps during COVID-19 pandemic?

METHODS: The study employs small scale snowball sampling survey across major cities of India addressing questions on comparative usage pattern of online apps before and during the pandemic, users’ gratification and users’ opinion of using online apps.

RESULTS: Usage of few apps like news, video, health increased during the pandemic with frequency and intensity of usage. Users are concerned with misinformation spread through social media, demeaning family bonding due to high usage of apps, digital divide failing to provide enough job opportunities.

CONCLUSION: Specific apps to deal with health emergencies should be developed along with mechanism against spread of misinformation and strategic attempts for digital inclusion.
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Spatio-temporal Prediction of Air Quality using Distance Based Interpolation and Deep Learning Techniques
Appears in:
sc 18: e8

Authors:
K. Krishna Rani Samal, Korra Sathya Babu, Santos Kumar Das

Published:
15th Jan 2021

Abstract:
The harmful impact of air pollution has drawn raising concerns from ordinary citizens, researchers, policy makers, and smart city users. It is of great importance to identify air pollution levels at the spatial resolution on time so that its negative impact on human he…The harmful impact of air pollution has drawn raising concerns from ordinary citizens, researchers, policy makers, and smart city users. It is of great importance to identify air pollution levels at the spatial resolution on time so that its negative impact on human health and environment can be minimized. This paper proposed the CNN-BILSTM-IDW model, which aims to predict and spatially analyze the pollutant levelin the study area in advance using past observations. The neural network-based Convolutional Bidirectional Long short-term memory (CNN-BILSTM) network is employed to perform time series prediction over the next four weeks. Inverse Distance Weighting (IDW) is utilized to perform spatial prediction. The proposed CNN-BILSTM-IDW model provides almost 16% better prediction performance than the ordinary IDW method, which fails to predict spatial prediction at a high temporal period. The results of the presented comparative analysis signify the efficiency of the proposed model.
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Risk Assessment Model: Roadmap to Develop Kolkata into a Smart City
Appears in:
sc 18: e7

Authors:
Sweta Saraff, Raman Kumar, Ayooshi Mitra, Sayantani Ghosh, Shrayana Ghosh, Sulagna Das

Published:
5th Oct 2020

Abstract:
Risk assessment is an analytical instrument used to measure a person's likelihood of certain diseases and disorders by quantitative risk factors in health (such as age, weight, living condition, literacy, the family history of a disease, etc.). A risk assessment model is a combi…Risk assessment is an analytical instrument used to measure a person's likelihood of certain diseases and disorders by quantitative risk factors in health (such as age, weight, living condition, literacy, the family history of a disease, etc.). A risk assessment model is a combined effort to identify and analyse potential events that can adversely affect individuals, assets, and the environment. Since times immemorial, infectious diseases have been the leading cause of widespread mortality globally. New ones are materializing, and old ones are resurging. Early identification of infectious disease and evaluating the risk factors are essential first steps towards executing successful disease intervention and planning control measures—various air-borne diseases like influenza, chickenpox, COVID-19, etc. are candidates for such models. By customizing the risk assessment model for Kolkata, we will monitor the factors responsible for the growth and spread of diseases. The current paper aims to focus on risk assessment based on the aggregation of various factors relevant to the prediction of disease transmission (RAAPDT).
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An Analysis of Trends, Developments and Transparent Issues in the making of Indian Smart Cities
Appears in:
sc 18: e6

Author:
Aatif Jamshed

Published:
31st Aug 2020

Abstract:
During the past few years, interest has grown in the creation and application of methods, structures for smart city evaluation. This reflects the increasing awareness of the value of systems for better planning and architecture of efficient and stable communities. A city is a vas…During the past few years, interest has grown in the creation and application of methods, structures for smart city evaluation. This reflects the increasing awareness of the value of systems for better planning and architecture of efficient and stable communities. A city is a vast and permanent human community that offers many resources and opportunities for its people. The rapid urbanization and growth have put a lot of pressure on local services and service delivery. The research discusses many potential resources that can make a city smart across growing city dimensions and also discusses the initiatives of the Indian government towards a Smart city. This paper is a survey of a variety of papers, covering the actual case study from a more comprehensive framework, such as e-mobility, which covers the smart city subject from.
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Assesing The Feasibility of Smart Grid Technology on Electrical Distribution Grids
Appears in:
sc 18: e5

Authors:
Tatenda Kanyowa, Rindai P. Mahoso

Published:
28th Aug 2020

Abstract:
This paper gives a critical analysis framework on the impact of smart grids on electrical distribution grids. It highlights the discrepancies between the developed and developing countries on the adoption of this technology. The concept of smart grids is gaining appreciable recogni…This paper gives a critical analysis framework on the impact of smart grids on electrical distribution grids. It highlights the discrepancies between the developed and developing countries on the adoption of this technology. The concept of smart grids is gaining appreciable recognition in the developed world’s electricity networks. The need to assess the impact of this new technology is critical as the laws of infrastructural clearly show that this is the direction to go if speedy and efficient development is going to be achieved in the developing world. A case study of developing countries was cited as a reference base and compared against developed countries. As developing countries still have the majority of their people still without access to power, the paper shows that the capacity for the implementation of smart grid technologies is ripe for implementation, albeit at a rather high fiscal cost.
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An approach for rapid generation of interactive spider maps for public transport networks
Appears in:
sc 18: e4

Authors:
Sara Santos, Teresa Galvão, Thiago Sobral

Published:
27th Aug 2020

Abstract:
A spider map is a type of schematic map that allows one to answer questions like "From where I am, where can I go?", as it provides only the essential information for a given geographical area (hub), from which lines emerge, whilst keeping the geographic context. They are often designed manually fo…A spider map is a type of schematic map that allows one to answer questions like "From where I am, where can I go?", as it provides only the essential information for a given geographical area (hub), from which lines emerge, whilst keeping the geographic context. They are often designed manually for a limited set of locations, thus reducing its widespread adoption. Moreover, spider maps should conform to several design constraints, which turns the automated generation into a complex problem. Optimisation techniques have been applied to this problem, although existing solutions are time costly and require heavy computational power. This paper presents an approach to automatically generate feasible spider maps within a short execution time based on an algorithm that adapts state-of-the-art methods, producing adequate quality maps to be manipulated ininteractive media, based on the areas selected by the user. We report the results of a case study for areas in thecity of Porto, Portugal.
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Performance Analysis on Popularity Based, Content Based and Collaborative Filtering Utilizing Recommendation Framework
Appears in:
sc 18: e3

Authors:
Deepkiran Munjal, Anju Gera, Pawan Kumar Singh

Published:
25th Aug 2020

Abstract:
In today's computerized world, it has become an irritating undertaking to locate the substance of one's loving in an interminable assortment of substance that are being devoured like art, education, media and so on. Then again there has been a developing dev…In today's computerized world, it has become an irritating undertaking to locate the substance of one's loving in an interminable assortment of substance that are being devoured like art, education, media and so on. Then again there has been a developing development among the computerized substance suppliers who need to connect the same number of clients on their administration as feasible for the most extreme time. A tune proposal is significant in our public activity because of its highlights, for example, in building smart cities recommending a lot of melodies to clients dependent on their advantage, or the popularity of the tunes. In this paper we are proposing a song suggestion framework that can prescribe song to another client just as the other existing clients. We use Popularity Based, Content Based separating, and Collaborative Filtering, which is a blend of application of communication systems, to develop a framework that gives progressively exact proposals concerning melodies.
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Smart Environment Monitoring System using Unmanned Aerial Vehicle in Bangladesh
Appears in:
sc 18: e2

Authors:
Md. Al-Farabi, Muntasir Chowdhury, Md. Readuzzaman, Md. Rafat Hossain, Saifur Rahman Sabuj, Md Akbar Hossain

Published:
19th Aug 2020

Abstract:
Greenhouse gases have influenced in enormous ways to global warming and climate change. The alarming rise of the toxic gases poses a serious threat to the future of mankind. Traditionally wireless sensor based monitoring systems have been used to monitor the concentration of greenhouse gases in the…Greenhouse gases have influenced in enormous ways to global warming and climate change. The alarming rise of the toxic gases poses a serious threat to the future of mankind. Traditionally wireless sensor based monitoring systems have been used to monitor the concentration of greenhouse gases in the environment. It is not always possible to access the area of interest to deploy the sensor node or even do maintenancein case of failure. Therefore in this paper we proposed and implemented unmanned aerial vehicle (UAV) based greenhouse gases monitoring system which assembles humidity sensor, gas sensors and temperature sensors. The proposed UAV system equipped with sensors collect data from the atmosphere and predicting future humidity, temperature and gasses. In this paper, we collect these data from three different areas Uttara, Aftabnagar and Mirpur in Bangladesh. Our analysis shows that air quality is better in Aftabnagar, though itis variable depending on the different time of the day. For automatic collection of environmental sample, our proposed system mainly features high precision of aerial platform.
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Security Surveillance and Home Automation System using IoT
Appears in:
sc 18: e1

Authors:
A. Sanjay, Meenu Vijarania, Vivek Jaglan

Published:
6th Aug 2020

Abstract:
Internet of Things provides connectivity and user interoperability among different systems, devices, networks and services in particular control systems. IoT can be envisioned as a network of connected devices which are capable of providing intelligent services. This paper …Internet of Things provides connectivity and user interoperability among different systems, devices, networks and services in particular control systems. IoT can be envisioned as a network of connected devices which are capable of providing intelligent services. This paper presents a security surveillance system in buildings based on IoT using Raspberry Pi. It can be used at industries, homes and office etc, where the camera records the movement of objects and using IoT devices and the data is stored on to the server. The idea is to lock the door even from outside the house and it can be opened using the android phone itself. If some intruder tries to break or to get in anonymously, the system will detect the person and photo will be clicked by the security camera and send the message along with photo on to the owner’s mail, thus creating the evidence for our safety. Some additional features for automation like rain sensing windows using rain sensor and servo motor and automatic light on/off for saving electricity and reduce human effort with IR senor and a simple led have also been implemented in this paper. Hardware implementation has been done for the proposed model and it will be applicable for monitoring home, industry, office etc. in the absence of user.
more »

Application of Sentiment Analysis in Understanding Human Emotions and Behaviour
Appears in:
sc 21(13): e4

Authors:
Sweta Saraff, Roman Taraban, Rishipal Rishipal, Ramakrishna Biswal, Shweta Kedas, Shakuntala Gupta

Published:
6th Oct 2020

Abstract:
INTRODUCTION: Presently, naturalistic observation is considered as critical in understanding, and predicting the complexities of feelings and sentiments. Emerging trends of social media has completely revolutionized the process of communication. Social media, microbloggi…INTRODUCTION: Presently, naturalistic observation is considered as critical in understanding, and predicting the complexities of feelings and sentiments. Emerging trends of social media has completely revolutionized the process of communication. Social media, microblogging, and other means of e-communication can be used for extracting the content to decode the quality, valence, and effectiveness of communication. OBJECTIVES: In this paper, we represent the explanatory urge of mental health assessment during a pandemic situation, especially in a smart city scenario. METHODS: We reviewed the role of sentimental analysis, as an emerging application tool for emotional and behavioural analysis for the population affected by a pandemic. This paper examines the prospect of analysing the sentiments through machine learning tools to understand, describe, and predict human behavior. CONCLUSION: Further analysis of this psychological e-content can be used to understand and predict the patterns of human sentiments.
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A Comparative Study of Challenges and Strategic Management: Lessons Learned from SARS, MERS, HIV & Ebola Outbreaks
Appears in:
sc 21(13): e3

Authors:
Sweta Saraff, Rishipal Rishipal, Camelia Bhattacharyya, Debangana Brahma, Sagnik Nag

Published:
5th Oct 2020

Abstract:
INTRODUCTION: The challenges related to several viral outbreaks spanning over the centuries have exceeded human resources and capacities of the health departments to deal with the consequent adversities. Each epidemic or pandemic faced has brought out the inequalities and gaps in our …INTRODUCTION: The challenges related to several viral outbreaks spanning over the centuries have exceeded human resources and capacities of the health departments to deal with the consequent adversities. Each epidemic or pandemic faced has brought out the inequalities and gaps in our systems and infrastructure. OBJECTIVES: The focus of the current paper is to do a comparative study of complex challenges faced and strategies adopted by governments during the SARS, MERS, HIV, and Ebola outbreaks. METHODS: To achieve the objective, a comprehensive summary of the challenges that the world has faced, and lessons learned from the strategic management of these viral outbreaks were analysed. CONCLUSION: An inclusive approach for the development of a multi-pronged strategic framework to benefit the concerned or affected stakeholders is discussed. These actions can guide health care workers and individuals to be aware of health hazards and complexities.
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Exploring the Effectiveness of Lockdown and Disaster Preparedness in Combating COVID 19 Pandemic in India
Appears in:
sc 21(13): e2

Authors:
Antarjeeta Nayak, Soumya Subhadarshini Padhee, Aditya Pinaki Nayak, Ramakrishna Biswal

Published:
5th Oct 2020

Abstract:
OBJECTIVES: 'Stay Home, Stay Safe' is the till now available effective remedy for novel Coronavirus. India is the first nation compared to other countries affected by COVID-19 to enforce a 'Nationwide Lockdown' at the earliest. METHODS: Google mobility data and Disaster Preparedness…OBJECTIVES: 'Stay Home, Stay Safe' is the till now available effective remedy for novel Coronavirus. India is the first nation compared to other countries affected by COVID-19 to enforce a 'Nationwide Lockdown' at the earliest. METHODS: Google mobility data and Disaster Preparedness metrics were analysed to evaluate the effectiveness of Lockdown as a social distancing intervention. RESULTS: Results showed that in India, Lockdown is a useful measure in flattening the epidemic curve. Second, Odisha's disaster preparedness is more efficient in containing and combating COVID 19 pandemic. CONCLUSION: Further, a brief analysis of the travel histories showed that the period of coming in contact with the virus and being tested is quite long, thus increasing the chances of spreading the virus through contact with others. We suggest, instead of fourteen days of quarantine, thirty five to forty days of quarantine would be more effective in combating the spread.
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Mobile health applications during epidemic management in India: a review
Appears in:
sc 21(13): e1

Authors:
Rajgourab Ghosh, Sanjeev Kumar

Published:
5th Oct 2020

Abstract:
INTRODUCTION: Smart cities endeavour to provide a good quality of life to its inhabitants. The COVID-19 pandemic necessitates redrawing the framework of epidemic management in India. Information, Communication & Technology (ICT) solutions such as mobile health (mHealth) …INTRODUCTION: Smart cities endeavour to provide a good quality of life to its inhabitants. The COVID-19 pandemic necessitates redrawing the framework of epidemic management in India. Information, Communication & Technology (ICT) solutions such as mobile health (mHealth) can complement this. OBJECTIVES: To review ICT and mHealth used for epidemic management in smart cities of India. METHODS: A systematic review was conducted to identify the use of ICT or mHealth applications for epidemic management in smart cities. A predefined search strategy and a predefined eligibility criterion to search for articles published in English on Medline were used. RESULTS: Our study showed ICT and mHealth use has increased during the recent COVID-19 pandemic in India and available solutions can be applied in smart city framework to improve epidemic management and achieve mHealth targets. CONCLUSION: We conclude that there have been many advances in the provisions of ICT and mHealth interventions in India in context to smart cities and scope for improvements abound.
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Does collective consciousness compromise during epidemics and pandemics?
Appears in:
sc 21(13): e5

Authors:
Anoushka Khanna, Namita I, Rina Chakrabarti, Prem Kumar Indraganti

Published:
22nd Sep 2020

Abstract:
The ongoing pandemic, COVID-19, has received unprecedented global attention. Though a pathogen is essentially the causative agent, the dynamics of the cause-effect in major events like the ongoing COVID-19 pandemic is not well understood. It is not even clear …The ongoing pandemic, COVID-19, has received unprecedented global attention. Though a pathogen is essentially the causative agent, the dynamics of the cause-effect in major events like the ongoing COVID-19 pandemic is not well understood. It is not even clear if the focused attention of the normal population impacts the safety and health of the exposed victims and in what way the different groups interact with each other, is also a big question. The idea of panpsychism and hierarchical consciousness suggests that consciousness functions beyond an individual and works at distinct levels such as family, community, state, territories, nations, and world. In this perspective, keeping in mind, the idea of hierarchical consciousness, the impact of higher consciousness in major events like the COVID-19 pandemic, on the well-being and fate of the exposed population along with the probable role of quantum entanglement, has been discussed.
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Review on Drowsiness Detection
Appears in:
sc 20(12): e7

Authors:
Apoorva Apoorva, D Khasim Vali, Rakesh K R

Published:
10th Jul 2020

Abstract:
This paper relates the street mishaps that happen because of driver's drowsiness. Recent studies state that more disasters are caused due to doziness. Drivers can feel drowsiness due to sleep deprivation, continuously driving, drugs and medicines, and so on. Accidents caused due to doziness are m…This paper relates the street mishaps that happen because of driver's drowsiness. Recent studies state that more disasters
are caused due to doziness. Drivers can feel drowsiness due to sleep deprivation, continuously driving, drugs and
medicines, and so on. Accidents caused due to doziness are more than drink driving. This paper traces many methods to
detect drowsiness and alerts the driver. There are two approaches to detect drowsiness. First is physiologically based and
another is behavioral-based. Also there are other approached used. Many technologies are used for detecting the weariness
of the driver. It is a review paper of numerous advancements utilized by various scientists. In addition, human conduct can
also be studied. Also, the discovery of drowsiness with eyes open is conceivable. In countenance detection technology,
driver weariness recognition is one of the major possible businesses uses. Here how drivers can be alerted using different
methods is discussed.
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Consociate Healthcare System through Biometric Based Internet of Medical Things (BBIOMT) Approach
Appears in:
sc 20(10): e5

Authors:
Sherin Zafar, Samia Khan, Nida Iftekhar, Siddharta Sankar Biswas

Published:
23rd Jun 2020

Abstract:
Internet of Medical Things (IOMT) or healthcare Internet of Thing (IOT) is a collection of medical devices and applications that connect the various healthcare systems based on IT through online computer networks. The devices are connected the output Wi-Fi allowing the M-M (machine to machine) co…Internet of Medical Things (IOMT) or healthcare Internet of Thing (IOT) is a collection of medical devices and
applications that connect the various healthcare systems based on IT through online computer networks. The devices are
connected the output Wi-Fi allowing the M-M (machine to machine) communication through IOMT. IOMT provides
various applications including remote patient monitoring (RPM), wearable fitness bands (WFB), hospital beds that are
sensor equipped and many-more. IOMT allows communication of medical devices without the intervention of human. The
widespread deployment of IOMT faces challenges of security, privacy, connectivity as well as compatibility. IOMT based
systems suffer from various security breaches and hacking attacks. Traditional security measures of login/password do not
compliment IOT based systems. So this research chapter proposes a novel Biometric Based Internet of Medical Things
(BBIOMT) technology that is unique and spoof free. The BBIOMT approach eliminates shortcomings of traditional
password schemes and offer a much superior authentication solution.
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A Comprehensive Study on Highly Sensitive Photonics Based Acoustic Sensors for Under Water Applications
Appears in:
sc 20(12): e6

Authors:
Hareesh Kumar, M. N Sreerangaraju

Published:
10th Jun 2020

Abstract:
By referring few researcher works which is related to the work of optical sensor and able to detect the acoustic signal, this review paper provides the detailed study of acoustic signal in under water. Researchers has worked with the optical sensor and emerged as great promising sensing device. F…By referring few researcher works which is related to the work of optical sensor and able to detect the acoustic
signal, this review paper provides the detailed study of acoustic signal in under water. Researchers has worked
with the optical sensor and emerged as great promising sensing device. From various research papers it is
observed that the detection of acoustic signal is done with the help of various optical sensors. The various
sensors are fiber bragg grating (FBG) sensor, fiber optic interferometric sensor and Mach zehnder
interferometer (MZI) sensor. So this review paper covers all these sensors and their application with a
particular focus on the different structure of optical sensor. The structure of the various sensors and their
application is discussed from the different research paper.
The overall work is reported and corresponding result is demonstrated. From the demonstrated work it has been
observed that with good quality and proper sensitivity in all optical sensors are able to detect the acoustic signal
for under water due to their compact size and able to provide accurate results.
more »
Big Data in Telecom Industry: Eﬀective Predictive Techniques on CDRs
Appears in:
sc 20(11): e1

Authors:
Sara ElElimy, Samir Moustafa

Published:
4th Jun 2020

Abstract:
Mobile network operators start to face many challenges in the digital era, especially with high demands from customers. Since the mobile network operators have considered a source of big data traditional techniques are not eﬀective with new era big data, internet of things (IoT) and 5G, as a result…Mobile network operators start to face many challenges in the digital era, especially with high demands from customers. Since the mobile network operators have considered a source of big data traditional techniques are not eﬀective with new era big data, internet of things (IoT) and 5G, as a result handling eﬀectively diﬀerent big datasets becomes a vital task for operators with the continuous growth of data and moving from long term evolution(LTE) to 5G therefore, there is an urgent need for suﬃcient big data analytic to predict future demands, traﬃc, and network performance to fulﬁll the requirements of the ﬁfth generation of mobile network technology. In this paper, we introduce data science techniques using machine learning and deep learning algorithms: the auto-regressive integrated moving average(ARIMA) Bayesian-based curve ﬁtting, and recurrent neural network(RNN) is employed for a data-driven application to mobile network operators. The main framework included in models is an identiﬁcation parameter of each model, estimation, prediction, and ﬁnal data-driven application of this prediction from business and network performance applications. These models are applied to Telecom Italian Big Data challenge call detail records (CDRs) datasets. The performance of these models is found out using speciﬁc well-known evaluation criteria that show that ARIMA (machine learning-based model) is more accurate as a predictive model in such a dataset as the RNN (deep learning model).
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Critical Success Factors of Green Project Management for Sustainable Housing
Appears in:
sc 20(12): e5

Authors:
Dina Khater, A. Samer Ezeldin, Medhat Elshazly

Published:
3rd Jun 2020

Abstract:
The growing demand for green construction, which is associated with increased perceptions of the risks associated with going green, highlights the need for a standard or benchmark that should be identified for project management practices to ensure successful sustainable urban development, assess i…The growing demand for green construction, which is associated with increased perceptions of the risks associated with going green, highlights the need for a standard or benchmark that should be identified for project management practices to ensure successful sustainable urban development, assess its progress and report the results. The article argues that this would require a rephrasing of the project management processes as the execution of green building projects requires changes to the traditional project management aspects. Therefore, the article will address the significant changes needed for project management practices that are appropriate to provide procedural parameters to a green building project. Based on this perspective, the article explores the integration of concepts of sustainability into knowledge areas and processes of project management and how it can be used as a tool to sustainably implement the construction projects. The article results to reach the critical success factors of a work plan which is introduced as a Guide Model. The introduced Guide Model was validated to ensure the integration of sustainability into the management of sustainable development and fast track mega projects, called Green Project Management (GPM) with Egyptian sustainable development in the housing sector as the case study.
more »

Emulating Vehicular Ad hoc Networks for Evaluation and Testing of Automotive Embedded Systems
Appears in:
sc 16(2): e2

Authors:
Manuel Schiller, Alois Knoll

Downloads:
1089

Abstract:
The evaluation and testing of cooperative applications based on Vehicular Ad hoc Networks (VANETs) in real testbeds is difficult due to the need for repeatable scenarios and large-scale experiments. Therefore a novel virtualization-based framework is presented to evaluate automotive software in the…The evaluation and testing of cooperative applications based on Vehicular Ad hoc Networks (VANETs) in real testbeds is difficult due to the need for repeatable scenarios and large-scale experiments. Therefore a novel virtualization-based framework is presented to evaluate automotive software in the context of emulated VANETs. The approach enables the precise and large-scale evaluation of real-world implementations through the synchronized execution of network and vehicle simulators as well as the applications encapsulated in virtual Electronic Control Units. This paper provides a detailed description of the framework's structure and its components as well as an validation of the proposed synchronization algorithm. The performance comparison with pure network simulation indicates that despite additional overhead large-scale experiments can be conducted without loss of accuracy.
more »
Road Traffic RFID Pedestrians Detecting System for Vehicles
Appears in:
sc 20(9): e2

Authors:
Michal Balog, Angelina Iakovets, Stella Hrehova

Downloads:
984

Abstract:
Safe road traffic, clean environment, environmentally friendly vehicles and eco-buildings are components of the world’s vision of immediate future supported by scientists and statesmen. Aspiration for healthy environment and sustainable development of technologies give life for idea of smart cities…Safe road traffic, clean environment, environmentally friendly vehicles and eco-buildings are components of the world’s vision of immediate future supported by scientists and statesmen. Aspiration for healthy environment and sustainable development of technologies give life for idea of smart cities which consist of all these visions towards modern world.
The aim of research was connection pedestrians and alarm system of the vehicle to prevent road incidents with the help of RFID technology. There were proposed vehicle RFID system and tags for pedestrians. System was designed on the basis of scientists’ research in this area. The main factors influencing the construction of proposed system were working range of the system and coverage width of the reading devices. Further were compared existent subsidiary systems for drivers
versus designed system. The study represents the expected effectiveness of the proposed RFID system as well as the ability to implement it even in old vehicle control systems.
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IoT Applications to Smart Campuses and a Case Study
Appears in:
sc 17(5): e4

Author:
D. Minoli

Downloads:
852

Abstract:
Internet of Things (IoT) concepts are now being broadly investigated for actual deployment initiatives. Although ecosystem-wide architectures and standards are still slowly evolving and/or still lacking, some progress is being made; standardization fosters flexibility, cost-effectiveness, and ubiqu…Internet of Things (IoT) concepts are now being broadly investigated for actual deployment initiatives. Although ecosystem-wide architectures and standards are still slowly evolving and/or still lacking, some progress is being made; standardization fosters flexibility, cost-effectiveness, and ubiquitous deployment. Applications range from infrastructure and critical-infrastructure support (for example smart grid, smart city, smart building, and transportation), to end-user applications such as e-health, crowdsensing, and further along, to a multitude of other applications where only the imagination is the limit. This article discusses a specific example of an IoT application supporting Smart Campuses. Smart Campuses are part of a continuum that spans cities at the large-scale end to smart buildings at the small-scale end, and encompass universities, business parks, hospitals, housing developments, correctional facilities, and other real estate environments. The specific Use Case example covered in this article relates to an actual project to automate some key functions at a set of large campuses, but the nature of the campus is not directly revealed. After a review of the applicable IoT and control technologies, this Best Practices article describes technological solutions that were employed to support the requisite control functions and serves as an example for the applicability of IoT to Smart Campus applications.
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An Open Agent-Based Model to Simulate the Effect of WOM Marketing Campaigns
Appears in:
sc 16(4): e3

Authors:
Paul Leger, Manuela López, Carmen Hidalgo-Alcázar, Hiroaki Fukuda

Downloads:
819

Abstract:
Word-Of-Mouth (WOM) is the opinion of consumers about a product. There is currently a clear trend in the use of WOM to diffuse information about a new product, known as WOM marketing campaigns. Marketing researchers are studying the impact of the different types of these campaigns has. The difficul…Word-Of-Mouth (WOM) is the opinion of consumers about a product. There is currently a clear trend in the use of WOM to diffuse information about a new product, known as WOM marketing campaigns. Marketing researchers are studying the impact of the different types of these campaigns has. The difficulty in getting data and isolating the effect that is analyzed limits the research of marketers in this topic. Lastly, some simulation models based on agents have overcome previous difficulty. However, these models are ad-hoc and specific solutions for every study. This poster proposes an open implementation of an agent-based model to simulate different scenarios of WOM marketing campaigns. Through customizations, this proposal will allow marketing researchers to test WOM marketing campaigns in different scenarios.
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Sophisticated Route Calculation Approaches for Microscopic Trafﬁc Simulations
Appears in:
sc 16(2): e3

Authors:
Karl Huebner, Bjoern Schuenemann, Ilja Radusch

Downloads:
774

Abstract:
In order to implement meaningful microscopic traffic simulations, a sophisticated calculation of the vehicle routes is essential. In this paper, different route calculation approaches for microscopic traffic simulators are analysed and compared. Various simulations are performed to detect traffic d…In order to implement meaningful microscopic traffic simulations, a sophisticated calculation of the vehicle routes is essential. In this paper, different route calculation approaches for microscopic traffic simulators are analysed and compared. Various simulations are performed to detect traffic distribution and traffic flow resulting from the used route calculation approaches. To have simulations as realistic as possible, real OD matrices of the city of Fulda (Germany) were used for the evaluation of the different approaches. The results show that simple route calculation algorithms are not appropriate for microscopic traffic simulations. However, approaches that are more sophisticated and that integrate additional heuristics produce good results regarding traffic distribution and traffic flow and can improve iterative techniques to find a user equilibrium.
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Oil and Gas supply chain optimization using Agent-based modelling (ABM) integration with Big Data technology
Appears in:
sc 20(9): e1

Authors:
Jamal Maktoubian, Mehran Ghasempour-Mouziraji, Mohebollah Noori

Downloads:
766

Abstract:
The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and soc…The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and social network, etc. Traditionally, it has been influenced by big oilfield companies. However, in recent years the industry has been changing into a more heterogeneous and diverse network of businesses, and the oilfields are getting smaller and more diverse. One of the reason could be dwindling the oil reserves and growing specialized companies which are able to extract hydrocarbons; another reason is the restructuring and globalization of the entire business as well as some new technology implementing. Using agent-based modeling and big data technology integrity, we are able to optimize supply chain in oil and gas industries.
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Evaluation of LPWAN technology for Smart City
Appears in:
sc 17(6): e3

Authors:
Hussein Mroue, Guillaume Andrieux, Eduardo Motta Cruz, Gilles Rouyer

Downloads:
761

Abstract:
In this paper, we explore technologies for low power wide area networks (LPWAN) serving the Internet of Things (IoT). These networks are ded-icated to long-range and low-speed communication to ensure a good autonomy up to 10 years and a budget link up to tens of kilometers. The performance of two …In this paper, we explore technologies for low power wide area networks (LPWAN) serving the Internet of
Things (IoT). These networks are ded-icated to long-range and low-speed communication to ensure a good autonomy up to 10 years and a budget link up to tens of kilometers. The performance of two LPWA technologies is investigated, where the well known LoRa and Sigfox technologies are evaluated according to their sensitivity to the interference and the impact of the spreading spectrum technique on the receptor sensitivity. Numerical results are presented and discussed.
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Multi Agent System Optimization in Virtual Vehicle Testbeds
Appears in:
sc 16(2): e1

Authors:
Patrick Lange, Rene Weller, Gabriel Zachmann

Downloads:
757

Abstract:
Modelling, simulation, and optimization play a crucial role in the development and testing of autonomous vehicles. The ability to compute, test, assess, and debug suitable configurations reduces the time and cost of vehicle development. Until now, engineers are forced to manually change vehicle…Modelling, simulation, and optimization play a crucial role in the development and testing of autonomous vehicles. The ability to compute, test, assess, and debug
suitable configurations reduces the time and cost of vehicle development.
Until now, engineers are forced to manually change vehicle configurations in virtual testbeds in order to react to inappropriate simulated vehicle performance.
Such manual adjustments are very time consuming and are also often made ad-hoc, which decreases the overall quality of the vehicle engineering process.
In order to avoid this manual adjustment as well as to improve the overall quality of these adjustments, we present a novel comprehensive approach to modelling, simulation, and optimization of such vehicles.
Instead of manually adjusting vehicle configurations, engineers can specify simulation goals in a domain specific modelling language. The simulated vehicle performance
is then mapped to these simulation goals and our multi-agent system computes for optimized vehicle configuration parameters in order to satisfy these goals.
Consequently, our approach does not need any supervision and gives engineers visual feedback of their vehicle configuration expectations.
Our evaluation shows that we are able to optimize vehicle configuration sets to meet simulation goals while maintaining real-time performance of the overall simulation.
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Computational Viability of Fog Methodologies in IoT Enabled Smart City Architectures-A Smart Grid Case Study
Appears in:
sc 18(7): 3

Authors:
Md. Muzakkir Hussain, Mohammad Saad Alam, M.M. Sufyan Beg

Downloads:
752

Abstract:
The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment efforts from academia, R&Ds and policymakers. The IoT utilities are being deployed at eve… The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment efforts from academia, R&Ds and policymakers. The IoT utilities are being deployed at every layers of a typical SG backbone namely Application layer, Energy layer and Communication layer. The geo-distributed clusters of IoT “objects” produce galactic volume of data that exacerbates the need to make a paradigm shift from centralized data center based processing to a hybrid model that supports both in situ as well as cloud based storage and computational resources. To combat such SC issues, Fog Computing (FC) emerges as a promising solution, which pushes the computation resources onto the network edge nodes. This work investigates the high performance of Fog Computing over generic cloud computing in terms of metrics viz. latencies, power consumption etc, through a Smart Grid (SG) use-case. Through an operational cost optimization framework, the work comprehends the suitability of fog methodologies to make a synergistic interplay with the core centered clouds thus empowering a wide breed of real-time and latency free services. Finally, an overview of the core orchestration issues, challenges, and future research directions are presented for FC enabled SCs.
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Issues of Hazardous Materials Transport and Possibilities of Safety Measures in the Concept of Smart Cities
Appears in:
sc 16(1): e4

Authors:
Vladimír Adamec, Barbora Schüllerová, Vojtěch Adam, Marek Semela

Downloads:
700

Abstract:
The transportation of goods and supplies is an essential part of maintaining a functioning urban infrastructure. It also involves the transport of dangerous goods. This type of transportation may especially in the urban areas signify a high risk that may significantly damage the critical infrastruc…The transportation of goods and supplies is an essential part of maintaining a functioning urban infrastructure. It also involves the transport of dangerous goods. This type of transportation may especially in the urban areas signify a high risk that may significantly damage the critical infrastructure of the city if there is an accident and leakage of dangerous chemical substances. The aim is, therefore, to minimize the risk and its consequences. The effective instruments are through the identification, analysis and assessment of these risks, searching for critical areas in cities and ensuring the application of prevention and safety measures. Application of risk analysis methods helps to identify the expected and probable risks that can significantly influence the safety of the critical infrastructure. On the other hand, risk analysis methods which can also identify unknown risks with low probability of occurrence are currently being developed. The paper introduces a methodology of assessment of transport risk in cities focusing on reducing the impact of hazard in cities. The risk analysis methods and approaches are subsequently proposed as the initial stage of implementing the selected safety measures. This paper aims to introduce the issue of risks associated with transportation of hazardous substances in cities and to propose measures that are in accordance with the concept of Smart Cities, in order to contribute to the creation of a functional communication network, traffic flow in cities and increasing the security of critical infrastructure.
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Publisher: EAI
ISSN: 2518-3893
Number of Volumes: 5

Last Published: 2021-01-19

EAI Endorsed Transactions on Smart Cities

Henrique Santos1

Sara Paiva2

Henrique Santos¹

Sara Paiva²