The International Journal of Ubiquitous Systems and Pervasive Networks (JUSPN) is a high-quality scientific journal devoted to fields of Ubiquitous Systems and Pervasive Networks. It aims to provide a highly readable and valuable addition to the literature which will serve as an indispensable reference tool for years to come. The coverage of the journal includes all new theoretical and experimental findings in the fields of Ubiquitous Systems and Pervasive Networks or closely related fields. The journal also encourages the submission of critical review articles covering advances in recent research of such fields as well as technical notes.
The Editor-in-Chief and the Editorial Board are very committed to build the Journal as one of the leading international journals in Ubiquitous Systems and Pervasive Networks in the next few years. With the support of the International Association for Sharing Knowledge and Sustainability (IASKS), it is expected that a heavy resource to be channeled into the Journal to establish its international reputation. The Journal’s reputation will be enhanced from arrangements with several organizers of international conferences in publishing selected best papers of the conference proceedings. The journal is planning to publish 4 issues per year.
AIMS AND SCOPE
The International Journal of Ubiquitous Systems and Pervasive Networks (JUSPN) is a refereed international journal to be of interest and use to all those concerned with research in various fields of, or closely related to Ubiquitous Systems and Pervasive Networks disciplines. The International Journal of Ubiquitous Systems and Pervasive Networks aims to provide a highly readable and valuable addition to the literature which will serve as an indispensable reference tool for years to come. The coverage of the journal includes all new theoretical and experimental findings in the fields of Ubiquitous Systems and Pervasive Networks or closely related fields. The journal also encourages the submission of critical review articles covering advances in recent research of such fields as well as technical notes.
JUSPN, volume-18 , Issue 1 (2023), PP 31 - 38
Published: 17 Jan 2023
by Salam Traboulsi, Dieter Uckelmann from Stuttgart University of Applied Sciences, D-70174 Stuttgart, Germany
Abstract: The new 5G mobile network promises to enhance existing services or include new ones to address key challenges presented by smart city stakeholders (citizens, municipalities, politics, industries, architects, etc.) to improve system implementations. These challenges cover various smart city fields such as transportation, environmental monitoring, healthcare, industrial automation, smart grid, etc. Thus, the main objective of 5G functionalities is to provide solutions to the various identified needs, which are defined as constraints and requirements. Therefore, three categories of 5G-based use cases have been defined: Enhanced Mobile Broadband (eMBB), Massive Machine Type Communications (mMTC), and Ultra-reliable and Low Latency Communications (uRLLC). Each group involves a set of use cases and characterized by specific technical features that address the corresponding needs. However, accurate and real-time positioning information is a vital requirement common to all three categories, but the degree of performance varies across scenarios and descriptions. Therefore, this work presents a summary of existing positioning technologies crossed with wireless technologies and smart city use cases to highlight the potential that will add accurate and real-time positioning to 5G capabilities. 5G promises decimeter accuracy in some critical use cases. read more... read less...
Keywords: 5G, Positioning methods, Smart city
A Study of the Ambient Noise in the Public Space on Campus and the Correlation Between the Campus Crowds’ Ambient Noise and the WiFi Log
JUSPN, volume-18 , Issue 1 (2023), PP 23 - 30
Published: 16 Jan 2023
by Yun Jie Lim, Seanglidet Yean, Bu Sung Lee, Peter Edwards from School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore and Manaaki Whenua – Landcare Research, Box 10345, The Terrace, 6143, Wellington, New Zealand
Abstract: Urban noise is becoming more serious and increasingly concerning environmental problems. This has led to numerous studies on traffic noise. However, not many studies have been done on noise from a human perspective as they go about their daily life. In another aspect, using of the crowd-sourcing platform is on the rise as the usage of personal devices (smartphones) and the deployment of Internet-of-thing increases. Thus, a large pool of data collected via mobile applications enables users to measure the environmental factor directly and provide immediate feedback for and community’s greater good. In this paper, we utilize the crowd-sourcing platform to collect noise data by volunteers to study the noise level in a campus environment, in open common areas which are frequented by students. We are able to map out the noise across the campus from the perspective of the students. The noise level increase through the day as the student gather around popular open spaces. Our study shows that the sound level on campus is due mainly to human and mechanical noise. By combining the noise data with WiFi log data, we were able to show a good correlation between sound level and human density in an area. read more... read less...
Keywords: sound level, ambient noise, environmental noise monitoring, environmental noise analysis, urban noise
JUSPN, volume-18 , Issue 1 (2023), PP 15 - 21
Published: 16 Jan 2023
by David Lo Bascio, Flavio Lombardi from Dept. of Information Engineering, Electronics and Telecommunications (DIET) “Sapienza” University of Rome, Italy, Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche (IAC-CNR), Rome, Italy, Member of the INdAM-GNCS research group
Abstract: SRv6 can provide hybrid cooperation between a centralized network controller and network nodes. IPv6 routers maintain multi-hop ECMP-aware segments, whereas the controller establishes a source-routed path through the network. Since the state of the flow is defined at the ingress to the network and then is contained in a specific packet header, called Segment Routing Header (SRH), the importance of such a header itself is vital. Motivated by the need to study and investigate this technology, this paper discusses some security-related issues of Segment Routing. A SRv6 capable experimental testbed is built and detailed. Finally, an experimental test campaign is performed and results are evaluated and discussed. read more... read less...
Keywords: Segment Routing, Networking, Security
JUSPN, volume-18 , Issue 1 (2023), PP 09 - 14
Published: 16 Jan 2023
by Bill Karakostas from Independent Researcher, Building 94700, PO Box 4336, Manchester, UK M61 0BW
Abstract: Towards realising autonomous UAVs, this paper investigates one of the fundamental autonomous flying research problems, i.e., the ability of a vehicle to control its flying behaviour autonomously, without reliance on external infrastructure like Instrument Landing Systems or GPS. In this paper we experiment with a physical UAV prototype with embedded intelligent control capabilities, utilising a Long Short Term Memory (LSTM) neural network, in order to learn lift-off control sequences using self-training. The initial results are promising and show potential for embedding LSTMs in the control systems of autonomous UAVs. read more... read less...
Keywords: Autonomous UAV, Intelligent Control, LSTM neural networks
Empowering Reality: A New Injury Prevention Education System to Promote the Empowerment of Child Caregivers
JUSPN, volume-18 , Issue 1 (2023), PP 01 - 08
Published: 16 Jan 2023
by Mikiko Oono, Thassu Srinivasan Shreesh Babu, Yoshifumi Nishida, Tatsuhiro Yamanaka from National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo 135-0064, Japan , Safe Kids Japan, Setagaya-ku, Tokyo 157-0074, Japan , Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan , Ryokuen Children’s Clinic, Yokohama, Kanagawa 245-0002, Japan
Abstract: Although awareness about the importance of injury prevention has been increasing among Japanese people, preventable injuries remain the third leading cause of death in children aged 0–14 years, and prevention of these injuries is critically important in terms of childhood health. To identify dangerous situations for children and provide preventive measures to avoid such situations, this paper proposes an effective method, called “Empowering Reality (ER)”, that integrates knowledge graphs with object detection to enable lecturers to educate caregivers on preventing unintentional childhood injuries while communicating with caregivers using augmented reality technology. The proposed ER system consists of knowledge graphs for explaining dangerous situations, an online video capture part, and a situation recognition part. This paper describes the major advantages of knowledge graphs that consider not only the relationship between objects and injuries, but also dangerous layouts with the help of “inclusion” and “collocation” features. The feasibility and effectiveness of the system were evaluated through tests among caregivers, including 11 parents and six teachers from three nursery schools. This system allows lecturers to conduct in-situ suggestions about specific preventive measures adapted to the home or nursery school environment via online learning read more... read less...
Keywords: Empowerment, Injury Prevention, Online Education, Augmented Reality, Knowledge Graphs, Situation Recognition
JUSPN, volume-17 , Issue 2 (2022), PP 91 - 98
Published: 20 Dec 2022
by Flavio Lombardi, Elia Onofri from Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche (IAC-CNR), Rome (00185), Italy, Dipartimento di Matematica e Fisica, Roma Tre University, L. S. Murialdo, 1, Rome (00146), Italy and Member of the INdAM-GNCS research group
Abstract: Networks are pervasive in computer science and in real world applications. It is often useful to leverage distinctive node features to regroup such data in clusters, by making use of a single representative node per cluster. Such contracted graphs can help identify features of the original networks that were not visible before. As an example, we can identify contiguous nodes having the same discrete property in a social network. Contracting a graph allows a more scalable analysis of the interactions and structure of the network nodes. This paper delves into the problem of contracting possibly large colored networks into smaller and more easily manageable representatives. It also describes a simple but effective algorithm to perform this task. Extended performance plots are given for a range of graphs and results are detailed and discussed with the aim of providing useful use cases and application scenarios for the approach. read more... read less...
Keywords: Colored Networks, Graph Contraction, Greedy Algorithm, Graph Analysis
JUSPN, volume-17 , Issue 2 (2022), PP 83 - 90
Published: 20 Dec 2022
by Ronald Tombe, F Mzee Awuor, Serestina Viriri from Kisii University, Kisii, Kenya and University of KwaZulu-Natal, Durban, South Africa
Abstract: The integrated impact of computing techniques and resources with big-data processing transforms human lifestyles by providing quality services ranging from healthcare to smart homes and effective interactions. However, many healthcare systems fail to consider patient emergencies and cannot provide a customized resource service. Cognitive computing is a requisite technology to create these intelligent systems based on artificial intelligence algorithms. This paper presents technologies for personalized healthcare services through cognitive computing. This paper investigates cognitive computing developments from discovering knowledge, cognitive science, and big-data analytics at the onset. Then, the system architecture for a cognitive computing system is given. Furthermore, this paper presents the technologies for cognitive computing healthcare improvement opportunities and their challenges. Finally, this paper discusses the representative intelligent systems of cognitive computing, including medical, robotic, and cognitive-communication systems. read more... read less...
Keywords: cognitive computing, big-data, healthcare, machine learning, pervasive computing, ubiquitous systems
JUSPN, volume-17 , Issue 2 (2022), PP 73 - 81
Published: 20 Dec 2022
by Michell Boerger, Philipp Lämmel, Nikolay Tcholtchev, and Manfred Hauswirth from Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, Germany and Technical University of Berlin, Berlin, Germany
Abstract: The challenges of climate change and the related demand to integrate non-plannable and weather-dependent renewable energy resources pose enormous challenges for the entire energy domain, e.g. in the context of grid control. These challenges reveal the need for new technical solutions and new business models while they indicate the required and inevitable transition to smart grids. Many blockchain-based solutions are being discussed in this context, ranging from peer-to-peer energy trading to grid-serving applications. However, especially in connection with public blockchains, clear security privacy challenges arise since the security and privacy of private data must be guaranteed while traceability must be avoided. Therefore, in this paper, we will specify privacy-protecting registration processes for blockchain-based flexibility markets that enable pseudonymous access to the latter. Furthermore, in collaboration with a governmental regulating institution named DGA, we will show that using an existing X.509-based PKI and RSA-based cryptographic processes, the integrity of all market participants can be guaranteed. This integrity is essential for the security-critical use of operating reserve. In addition, we will evaluate the specified processes in terms of efficiency, scalability, security, and privacy protection. read more... read less...
Keywords: Blockchain, privacy, security, encryption, distributed ledger, energy market
JUSPN, volume-17 , Issue 2 (2022), PP 67 - 72
Published: 14 Dec 2022
by Yunfang Fu, Yujuan Deng ,Yuekui Zhang, Zhengyan Yang, Ruili Qi from School of Computer Science & Engineering, Shijiazhuang University, Shijiazhuang, China, 050035 and Hebei Province Internet of Things Intelligent Perception and Application Technology Innovation Center,Shijiazhuang, China, 050035
Abstract: In this paper, a novel low rank graph regularization embedding for 3D facial expression recognition (LRGREFER) approach is proposed, in which the core tensor is utilized to characterize the low-rank attribute among the samples combined with the factor matrices with the graph regularization embedding. At first, a model based on a 4D tensor is constructed from the facial expression data. By Tucker decomposing the constructed 4D tensor, a resulting core tensor and factor matrices in different tensor modes are utilized to characterize the low-rankness among samples. Because of the loss of information during modelling the 4D tensor, the missing data from partly observed facial expression data are recovered by embedding the tensor completion. Finally, the proposed model is handled and solved by adopting the alternating direction method of multipliers (ADMM). Meanwhile, the classification prediction of facial expressions are implemented by Multi-class-SVM. Numerical experiments are conducted on BU-3DFE database. The experiment results have been verified that our proposed approach is more competitive. read more... read less...
Keywords: Low rank, Graph regularization embedding, Facial expression recognition, Tucker decomposition
JUSPN, volume-17 , Issue 2 (2022), PP 59 - 65
Published: 07 Dec 2022
by Jean Bertin Nkamla Penka, Saïd Mahmoudi, Olivier Debauche from University of Mons, Faculty of Engineering - ILIA Lab / InforTech, Place du parc 20, Mons, Belgium, 7000, University of Liège - GxABT, Terra, Passage des Déportés 2, Gembloux, Belgium, 5030, University of Liège - GxABT, BioDynE - DEAL, Passage des Déportés 2, Gembloux, Belgium, 5030
Abstract: Agriculture 4.0 is a domain of IoT in full growth which produces large amounts of data from machines, robots, and sensors networks. This data must be processed very quickly, especially for the systems that need to make real-time decisions. The Kappa architecture provides a way to process Agriculture 4.0 data at high speed in the cloud, and thus meets processing requirements. This paper presents an optimized version of the Kappa architecture allowing fast and efficient data management in Agriculture. The goal of this optimized version of the classical Kappa architecture is to improve memory management and processing speed. the Kappa architecture parameters are fine tuned in order to process data from a concrete use case. The results of this work have shown the impact of parameters tweaking on the speed of treatment. We have also proven that the combination of Apache Samza with Apache Druid offers the better performances read more... read less...
Keywords: Agriculture 4.0, IoT, Internet of Things, Kappa Architecture, Smart Farming, Smart Agriculture
JUSPN, volume-17 , Issue 2 (2022), PP 51 - 58
Published: 07 Dec 2022
by Tarek El Salti, Nelson Shaw, Joseph Chun-Chung Cheung, Edward R. Sykes from School of Applied Computing, Sheridan College, Oakville, Ontario, Canada, L6H 2L1 TELUS Communication Inc., 200 Consilium Place, Scarborough, Ontario, Canada, M1H 3E4 Centre for Mobile Innovation, Sheridan College, Oakville, Ontario, Canada, L6H 2L1
Abstract: Indoor localization is of great importance to several fields such as healthcare and asset tracking. However, many factors (e.g., multipath propagations) impact the quality of signals which are used to perform localizations. As a consequence, the precision and accuracy of the computed locations are heavily influenced. Therefore, the methodologies to compute indoor locations always need continuous refinements in terms of those metrics including the time complexity. For the last metric, It impacts the performance of mobile devices due to their limited resources. To address these challenges, a new set of fingerprinting algorithms was presented in this paper called Fingerprinting Line-Based Nearest Neighbour. This set shifts grid points potentially towards targets via a deterministic percentage. The running time of the set is upper bounded. Moreover, this paper presents the following: 1) an upper bound in terms of distance errors for the proposed algorithms, and 2) based on real experiments, the new algorithms (e.g., 90% shifting) improved the accuracy and precision, and had lower distance errors probabilities compared to those for the nearest neighbour-based algorithms (e.g., by 106% and 76%, respectively). read more... read less...
Keywords: : Indoor Location Services, Fingerprinting, Wi-Fi, Path Loss exponent, K-Nearest Neighbor
JUSPN, volume-17 , Issue 1 (2022), PP 43 - 49
Published: 04 Aug 2022
by Nassima Tadrist, Olivier Debauche, Saïd Mahmoudi, Adriano Guttadauria from University of Blida 1 Saâd Dahlab, Department of Water and Environmental Sciences, BP 270 Route Soumâa, Blida, Algeria, 09000 , University of Liège, TERRA / BioDynE - DEAL, Passage des Déportés 2, Gembloux, Belgium, 5030, University of Mons, Infortech Institute / Faculty of Engineering - ILIA, Place du Parc 20, Mons, Belgium, 7000
Abstract: t The recent floods have shown that the classic monitoring systems for watercourses are no longer adapted because other phenomena such as the insufficient capacity and/or obstruction of drainage networks, the modification of cultivation practices and rotations, the increase in the size of plots linked to the reparcelling, the urbanization of floodable areas, etc. The combination of all these causes, plus the modification of the water regime, implies an increase in the risk of flooding and an adapted monitoring that is no longer limited to watercourses in order to give early warning of the risk of flooding by runoff. The Internet of Things (IoT) and the availability of microcontrollers and sensors with low data rates and long ranges, as well as low-power wide area networks (LPWANs), allow for much more advanced monitoring systems. read more... read less...
Keywords: Monitoring System, Warning System, Flood, Runoff, Moody Flood, Flash Flood, Runoff Flooding, Sewer, IoT, LPWAN, LoRaWan, NB-IoT