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