We are pleased to welcome you to the “International Conference on Mobile Computing and Wireless Communication and Its Applications” after the successful completion of the series of Mobile Computing Congress. The conference is scheduled on November 18-19, 2021 France time zone. This Mobile Computing 2021 Conference will provide you with an exemplary research experience and huge ideas. The perspective of the Mobile Computing Conference is to set up technology research to help people understand how Technology techniques have advanced and how the field has developed in recent years. Mobile Computing rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure. Upcoming 5G systems are evolving to support exploding mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience. Fulfilling these tasks is challenging, as mobile environments are increasingly complex, heterogeneous, and evolving. One potential solution is to resort to advanced machine learning techniques, in order to help manage the rise in data volumes and algorithm-driven applications.

The ICT based advanced urban public transportation systems (APTS) are used to improve the commuters’ experience during their trips using public transportation buses. Generally, the deployment of APTS solutions requires the manual route feedings which is a tedious task specifically when the route changes are frequent. We design an automatic bus-stop detector using the GPS traces of buses and the crowd sourced accelerometer data of the commuters. We leverage the stop-and-go pattern of buses observed during their trips. The historical trajectory data of buses are processed using the DBSCAN algorithm to find all the locations where a bus stops recurrently during its trip (including the non-bus-stop locations). To discard the non-bus-stop locations, we utilize the fact that the bus-stops are the locations where commuters board or alight the bus. When a commuter is near the location detected as a stoppage by the DBSCAN algorithm, the accelerometer data of the commuter are processed in her smart phones to detect the bus-boarding event. The process involves the stepping event detection and the transport mode classification. The locations of bus-boarding events are used to extract all the bus-stops on the route accurately.

Optical transmission systems and networks underpin the digital economy and form a key part of the worldwide communications infrastructure. However, ongoing provision of new services and larger data volumes required to meet the needs of businesses, academia, governments and citizens provide new challenges to optical communication infrastructure with operators also facing commercial pressure to offer them at ever lower cost per bit. In the research community this has led to the exploration of advanced optical fibers to replace the standard single mode fiber (SMF) which has dominated commercial fiber systems for decades. Broadly described as space-division- multiplexing (SDM) [1] , this research field refers to fibers that allow data transmission in parallel strands of SMF, a combination of multiple cores within a single cladding or multiple modes in a single core [2]. In each case, the aim is typically to both increase the achievable data throughput and also to encourage energy and resource savings, hardware integration and joint signal-processing. Here, we describe a series of experiments that aim to characterize the basic properties of such fibers [3-5] and how they can be used to increase efficiency and cost savings. Finally, we describe experiments demonstrating how they may be exploited for super high capacity optical transmission.

Radio over Fiber (RoF) is an apting technology for the next generation wireless networks including 5G Cloud Radio Access Network (C- RAN). Digital Radio over Fiber (D-RoF) networks are immune to nonlinearities that arise in Analog Radio over Fiber (A-RoF). However, with increase in carrier frequencies and baud rate, the D-RoF cost becomes crucial. There exists a possibility to use Sigma Delta Radio over Fiber (S-DRoF) that combines the advantages of A- RoF and D-RoF by means of Sigma Delta Modulator (SDM) at the transmitter side subsequently replacing the employment of expensive and high-speed digital to analog converters. In this paper, we demonstrate the usage of 2nd order SDM for LTE 20 MHz signal having 256 QAM modulation on a central carrier frequency of 2.475 GHz for the implementation of S-DRoF for 10 Km of Standard Single Mode Fiber with baud rate from 25 to 100 Mbaud. Withal, a comprehensive analysis of the design of SDM is explained followed by the experimental setup. The performance is reported in terms of error vector magnitude, and adjacent channel leakage ratio. The results show that the proposed architecture performance is within the LTE specifications, proving this is a cost and power effective solution for next generation wireless networks.

Grating based sensors are ideal candidates for strain and temperature measurement. Many researchers have already anticipated detecting low strain signal by using an fiber Bragg grating (FBG) sensor instead of the conventional lead- zirconate-titanate (PZT) sensor due to the benefits of the FBG together with flexibility, immunity from electromagnetic interference, corrosion resistance, small size, ability to be embedded, and multiplexing capabilities [1]. Especially, FBG sensors are playing a noteworthy role towards the detection of low amplitude dynamic signal. Therefore, there are two essential necessities for detecting low strain signal: broad bandwidth and high sensitivity. FBG is not capable to detect low strain signal because if the wavelength of low strain signal is much lesser than the Bragg wavelength, no change will arise in FBG reflection spectrum. Towards this direction, many researchers developed phase shifted grating based ultrasonic sensors to achieve broader bandwidth and superior sensitivity. The schematic of a phase-shifted FBG is shown in Fig. 1(a). It consists of a phase jump of π at the center of an otherwise periodic modulation of the refractive index in the core of a single mode fiber. Thus, the π phase shift region in the middle results in two identical gratings separated by half the grating pitch (Λ). This phase jump leads to a spectral peak at the center of the transmission spectrum of the grating. Fig. 1(b) shows the transmission spectrum of a phase-shifted FBG of length L=25 mm, which is characterized by a very narrow line width transmission peak at the center. The bandwidth of this transmission peak measured as FWHM (full width at half maximum) is ~ 26 pm. The phase variation in middle of the grating decreases the requirement of effective length of the sensor and delivers an extremely narrow peak for high sensitivity measurement [2-4].

Nucleic acid testing (NAT) is regarded as a highly sensitive and specific method for infectious disease screening. Among NAT technologies, polymerase chain reaction (PCR) and loop-mediated isothermal amplification (LAMP) are two common technologies in fundamental research and clinical applications for nuclei acid amplification, which the targeted genes at accurate thermal- control conditions. However, while implementing these two technologies in the external heater (e.g., PCR machine), indirect heat transfer not only leads to massive amounts of energy consumption but increases the cost of assembling a complicated and huge-volume thermal-control system. Therefore, a stable and direct internal thermal-control system is urgent to be developed for NAT. This study combined photo-thermal nanoparticles with LAMP technology, termed as photo- LAMP, which achieved a rapid semi-quantitative detection of Mycobacterium tuberculosis (MTB) bacteria nucleic acids. In this system, a set of six biotin-labeled primers was selected for targeting 16S rRNA gene of MTB bacteria, conjugated to the surface of photo-thermal nanoparticles through streptavidin-biotin interaction. Polypyrrole-modified iron oxide nanoparticles (i.e., photo- thermal nanoparticles) were utilized to be an internal heater for cell or bacteria lysis, maintained a suitable temperature for LAMP reaction and made fluorescent signal condense. Owing to magnetic properties of nanoparticles, the fluorescent intensity was enhanced by magnet. The results showed that photo-LAMP system was capable of semi-quantitatively detecting the targeted nucleic acids within 20 minutes and had lower limit of detection (LoD) than that of conventional PCR machine.

Create a concept for open distributed cloud platform based on the Internet of Things, 5G and fog/cloud computing that uses standard interfaces Smart solutions have to be circular and in equilibrium.The platforms are heterogeneous and should be scaled. Soil and water are critical resources for the safety of life IoT and ICT could support it. Requirements to the Smart Management Platforms Stakeholders and end-users need Key Performance Indicators (KPIs) definition Legislation national, international, regional Raw data collection, what and how. Do we need all the data to be stored? Data sharing – open data, data privacy, data customization Security at all levels Services - proprietary, customised, common Possibility to integrate existing platforms at all levels digitization means analogue and digital measurements converted to digital raw data and supporting digital management services Methodology for Requirements. Analyses Communication infrastructure is expected to be: Open, Hierarchical in layers and planes based on standard interfaces and protocols, Encapsulating data, Dividing management from the control and monitoring features, Interoperable by means of data sharing through gateways at different layers, integrable through gateways at different layers, Heterogeneous by default, capable to define services based on the end-user and stakeholder needs, capable to be support short-term and long-term plans for standardization, customised for smart management systems because the implementations are different Methodology for Requirements’ Analyses In the cloud the platform should define Notion, positive and negative implementations, Features, Generic features, Abstraction, Interoperability, Classification, Feature dependencies.