PECCS 2020 Abstracts


Area 1 - Intelligent Data Analysis and Signal Processing

Full Papers
Paper Nr: 13
Title:

Analysis of Free Time Intervals between Buyers at Cash Register using Generating Functions

Authors:

Detlef Hartleb, Andreas Ahrens, Ojaras Purvinis and Jelena Zaščerinska

Abstract: The optimization of bursty business processes requires stochastic models with measurable parameters. Often simplifications worked out in the analysis of such models lead to inaccuracies when events occur in a bursty manner. In this work, a novel approach based on generating functions is introduced for modelling the bursty appearance of buyers via gap processes when paying at the cash register. The obtained approach is verified by analysing the payment process at the cash register by taking the free time intervals (gaps) between buyers as well as the payment processing time at the cash register into account. As both payment-related processes can be described by gap processes, the use of generating functions allows close-form solutions when analysing the payment process at the cash register. As an example the payment process is analysed in two supermarket of different sizes in Lithuania. The obtained results show that the free time intervals at the cash register are quite bursty independent of the size of the shop whereas the payment processing intervals at the cash register are quite regularly distributed.

Short Papers
Paper Nr: 5
Title:

Internal and External Factor Analysis in Bottleneck Detection in Shop Sales: The Case of Grocery Shops in Lithuania

Authors:

Detlef Hartleb, Andreas Ahrens, Ojaras Purvinis, Jelena Zaščerinska and Diana Micevičienė

Abstract: The optimization of supermarket processes as well as the increase in productivity and profitability of shop sales requires extensive knowledge of bottlenecks within the sales processes as bottlenecks limit the capacity of shop sales. Bottlenecks refer to bursty processes in analogy to the occurrence of bit-errors in data transmission systems. The aim of the paper is to analyse external and internal factors in shop sales underpinning the examination of external and internal factors in shop sales based on the collected data of two supermarkets in Lithuania. In this context, concentrated arrival of customers is identified as an external factor. By internal factors, the buyers' waiting time in the queue to the cash register as well as the payment processing time at the cash register are meant. In this work the internal factors of the payment process are modelled by gap processes where the obtained parameters such as the buyers' concentration and the buyers' probability allow a good comparison of the payment related processes. This work aims at achieving customer quality improvement through prevention of queuing. The obtained results show that the waiting time in the queue to the cash register is quite bursty whereas the payment processing time at the cash register is quite regularly distributed. Therefore, the conclusion can be drawn that at the cash register short periods of high activities are followed by longer periods of inactivity.

Paper Nr: 9
Title:

AHP-based Evaluation of the Acceptance of Autonomous Driving

Authors:

André Jacob, Andreas Ahrens, Jelena Zascerinska and Cesar Benavente-Peces

Abstract: In the world with seven billion people and around one billion cars, autonomous driving has the potential to become a key factor of overcoming pollution and traffic jam when considering big cities. This work discusses safety- and security related factors with simultaneous improving of the acceptance of autonomous driving. The data were obtained from the survey carried out by Deloitte analytics institute located in Germany. The data are analysed by means of the analytical hierarchy process (AHP). The theoretical finding allows concluding that, due to the technology development, the conventional division of factors into external and internal has to be extended with the third groups, namely other factors. A theoretical finding is three clusters of influencing factors. The cluster with the most influential factors includes active driving systems, sensors, car-to-car communications and algorithmic. The limitations of the study are outlined. Directions of further work are proposed.

Area 2 - Pervasive and Parallel Computing

Full Papers
Paper Nr: 6
Title:

Directional-IPeR: Enhanced Direction and Interest Aware Peoplerank for Opportunistic Mobile Social Networks

Authors:

Yosra S. Shahin, Soumaia A. Al Ayyat and Sherif G. Aly

Abstract: Network infrastructures are being continuously challenged by virtue of increased demand, resource-hungry applications, and at times of crisis when people need to work from homes such as the current Covid-19 epidemic situation, where most of the countries applied partial or complete lockdown and most of the people worked from home. Opportunistic Mobile Social Networks (OMSN) prove to be a great candidate to support existing network infrastructures. However, OMSNs have copious challenges comprising frequent disconnections and long delays. In this research, we aim to enhance the performance of OMSNs including delivery ratio and delay. We build upon an interest-aware social forwarding algorithm, namely Interest Aware PeopleRank (IPeR) in two ways 1) By embracing directional forwarding (Directional-IPeR), and (2) By utilizing a combination of Directional forwarding and multi-hop forwarding (DMIPeR). Different interest distributions and users’ densities are simulated using the Social-Aware Opportunistic Forwarding Simulator (SAROS). The results show that Directional-IPeR with a tolerance factor of 75% performed the best in terms of delay and delivery ratio compared to IPeR, and two other algorithms, namely MIPeR and DMIPeR.

Paper Nr: 11
Title:

ESP32 based Edge Devices to Bridge Smart Devices to MQTT Broker for Healthcare Purposes in the COVID Scenario

Authors:

Alberto Faro, Daniela Giordano and Mario Venticinque

Abstract: The aim of this paper is twofold. First, it demonstrates a low cost implementation of a BLE/MQTT gateway to support monitoring and control of the patient health conditions from distance by means of the commonly used health devices. A variant of the CPS model is used to execute the monitoring and control tasks effectively. Secondly, it points out that such a gateway together with conventional BLE sensors on body temperature and oxygen in the blood and possible other BLE edge devices allow us to implement a pervasive warning system on COVID status and some general forecast on COVID diffusion. MQTT edge devices are also outlined for measuring the relevant health parameters at distance without the help of the above gateway, but in a way that the sensed data may interoperate with the ones taken by the conventional BLE devices.

Area 3 - Wireless and Mobile Technologies

Short Papers
Paper Nr: 10
Title:

Systematic Crowd Mobility Management to Avoid Catastrophic Disasters of Human Stampedes: The Case of Mina Hajj

Authors:

Nisrine Ibadah, César Benavente-Peces, Khalid Minaoui, Mohammed Rziza and Mohammed Oumsis

Abstract: Every year, the Holy city of Makkah hosts more than two million Muslims for the pilgrimage ’Hajj’. During this event, a set of activities should be done by pilgrims. One of the rituals performed is throwing stones in al-Jamarat area of Mina at pillars target. The throwing Jamarat is a paradigm of stoning the devil, as done by the prophet Abraham. All pilgrims must reach the site at different times in specific hours of particular days. However, this stoning ritual represents the most bottleneck ceremony where the area becomes packed at routes and around pillars structure. The problem is that, unfortunately, humans cannot be controlled while they are in a crowd. That takes this place a high safety hazard by increasing accidents’ probably which cause death of many Muslims last few years. Inspired from this event, this paper presents a new human mobility models which simulates stoning in Hajj by adopting a new design to solve the safety problems. This suggests control huge crowds by conducting the relationship between the Jamarat basin, pilgrims, stoning performance, and the impact of organizing the pilgrims in three rows around the Jamarat basin. This experiment estimate the throwing time at each pillar in order to manage the temporal and spatial human movement inside the Jamarat area. The simulation outcomes encourage adopting the new design to prevent crowd panic and disasters.