JUSPN, volume-12 , Issue 2 (2020), PP 25 - 30
Published: 30 Apr 2020
by Bassel Emad, Omar Atef, Yehya Shams, Ahmed El-Kerdany, Nada Shorim, Ayman Nabil, Ayman Atiab from Faculty Of Computer Science, Misr International University (MIU), Cairo, Egypt Faculty Of Computer Science and Artificial Intelligence, Helwan University (HU), Cairo, Egypt Faculty Of Computer Science, October University for Modern Sciences and Arts (MSA), Cairo, Egypt
Abstract: Karate is a martial art that can be performed using hands and feet to deliver and block strikes. Karate Kata moves must be executed in a unique way, many moves are performed incorrectly during training. In this paper, we offer a system that Karate performers, coaches, judges and sporting clubs could use. The system aids the Karate performers by capturing their moves using Kinect v2 sensor, pre-processing these moves and then analyzing these moves using F-DTW. A report is displayed to the performers that is easily understandable, to learn how the mistakes were made, and how to fix it/learn from them. F-DTW was used for proving the concept, and an average accuracy of 93.65% was achieved. This Paper is mainly concerned about the first Karate Kata (Heian Shodan). read more... read less...
Keywords: Classification, Kinect, Karate Coaching, Recognition, Analysis, Real-time Feedback, Human Movement Analysis.
A Scalable Digital Infrastructure for Sustainable Energy Grid Enabled by Distributed Ledger Technology
JUSPN, volume-12 , Issue 2 (2020), PP 17 - 24
Published: 19 Apr 2020
by Rahim Rahmani, Yuhong Li from Department of Computer and System Sciences, University of Stockholm, Sweden, Beijing University of Posts and Telecommunications, Beijing, China
Abstract: The future of renewable energy transportation and distribution is dynamic and complex, with distributed renewable resources in required distributed control. It is suggested that Distributed Ledger Technology (DLT) is a timely innovation with the potential to facilitate this future. The transition to full renewable energy requires an infrastructure capable of handling intermittent production that has a low marginal cost. This requires a distributed control logic where devices with embedded intelligence coordinate local production, a decentralized energy market where prices are not primarily based on production, and an underlying digital infrastructure to enable both. Simulations and experiments have demonstrated great potential in such a digital infrastructure, but real-life tests have identified scalability as a remaining challenge. In this paper, we propose a DLT-based architecture for the energy grid with the development of existing solution concepts by implementing scalability solutions. To this end, we derive energy market components as a framework for building efficient microgrid. Then, we discuss the microgrid as a case study of such a market according to the required components within energy production, transmission, and distribution; distributed ledger platform operations, IoT device manufacturing,; software development; and research in IoT, edge and cloud computing, and energy systems. read more... read less...
Keywords: Blockchain, Smart Grid, Scalable Distributed Ledger Technology, Microgrid, Peer-to-peer; Renewable energy, IoT, Edge computing
JUSPN, volume-12 , Issue 2 (2020), PP 09 - 15
Published: 17 Apr 2020
by Yassine Issaoui, Azeddine Khiat, Ayoub Bahnasse, Hassan Ouajji from Lab SSDIA, University Hassan II of Casablanca, Morocco, ENSAM Casablanca, University Hassan II of Casablanca, Morocco
Abstract: The recent increase of new technologies and their involvement into all management processes call into question the smart logistics current models, in which massive amounts of data is collected and controlled. Smart Logistics is considered as fundamental pillar of the 4th industrial revolution 'industry 4.0'. This revolution is based on different concepts including the blockchain technology. Blockchain remains one of the buzzwords in the technological world. So that all sectors are focus on concrete use cases. However, few actors can boast of having devised revolutionary solutions. For good reasons, blockchain technology is still very complex to understand. The purpose of this study is to define the various applications of Blockchain in Smart Logistics, as well as to present concrete examples of these applications. This work was done by classifying the applications according to four clusters: Information, Transport, Finance, and Management, in addition to presenting the applications of each cluster. read more... read less...
Keywords: Blockchain, Smart Logistics, Smart Constracts, Smart Supply Chain Management.
JUSPN, volume-12 , Issue 2 (2020), PP 01 - 07
Published: 12 Apr 2020
by Richard Otrebski, Johannes Rauer, Corinna Engelhardt-Nowitzki, Natalie Kryvinska, Mohamed Aburaia, Dominik Pospisil from UAS Technikum Wien – Department Industrial Engineering, Vienna, Austria, 200 Vienna
Abstract: Cyberphysical production systems are important parts of today’s manufacturing process. The ever-growing need of highly optimized, i.e. at the same time flexible and efficient systems, requires the use of not only appropriate machines, but as well a communication framework and data model that is manufacturer independent and scalable. This paper proposes a communication-framework based on OPC UA that employs an agent-based architecture. The proposed system has been implemented and tested in the Digital Factory of the UAS Technikum Wien. It shows promising behavior within distributed manufacturing systems. read more... read less...
Keywords: communication modeling, data modeling, digital manufacturing, OPC UA, CPPS
JUSPN, volume-12 , Issue 1 (2020), PP 25 - 30
Published: 25 Jan 2020
by Hardik Manek , Nikhil Kataria , Sujai Jain , Chitra Bhole from Acadia University, Wolfville, Nova Scotia, Canada, NS B4P 2R6 K.J.S.I.E.I.T, Mumbai, India, 400022
Abstract: Cashless payments have become effortless with the advent of new technology and the internet. But, for online transactions, you don't have to be in a certain place where the transaction occurs, making it vulnerable to fraudulent attacks. A cyber-attacker can pretend to be the owner of a credit card and make a fraudulent transaction. There are several techniques to determine the nature of the transaction, for instance, by comparing the current transaction with previous transactions. If the monetary difference between current transaction and previous transaction is too large, then there is a greater probability of current transaction being a fraudulent transaction. This method is not reliable for anomaly detection. In some countries like India and China, banks deploy a two-step verification process which strengthens the security of the transaction. While in other countries, employees in the bank manually segregate the transactions to be fraud or not. These methods are highly dependent on human intervention. Machine Learning can be utilized to automate the process of anomaly detection. Supervised algorithms such as Logistic Regression can be used to build a model that will predict the output in the form of binary classes i.e., 0 for a valid transaction and 1 for a fraudulent transaction. Autoencoder Neural Network is one of the unsupervised algorithms using which better accuracy can be obtained for anomaly detection. In this paper, we explain different machine learning algorithms viz Hidden Markov Model, Artificial Neural Network, and Convolutional Neural Network. Moreover, Logistic Regression is implemented, and the results obtained are highlighted read more... read less...
Keywords: Credit Card Fraud, Neural Network, Cashless Transaction
JUSPN, volume-12 , Issue 1 (2020), PP 17 - 24
Published: 24 Jan 2020
by Tomáš Pikulíka , Peter Štarchoňb from Faculty of Management, Comenius University in Bratislava Odbojárov 10, 820 05 Bratislava 25, Slovakia
Abstract: Pressure for effectivity of interconnection of personal data with digital accounts eliminates paperbased personal data processing (PDP). The objective of this paper is to reveal weak pots of transfer and PDP in Wi-Fi ready mobile devices. Purpose is to reveal the set of principles for data transfer and storage of personal data in ubiquitous and pervasive network environment. Our scope is to point out the recommendation for organization (data controller) in managing data transfer procedure to prevent incidents and personal data misusage and set preventive action plan for individuals (data subject) to protect their digital accounts. The contribution of our paper is a set of recommendations that sum up principles for secure PDP that should skip individual action of data subject. The paper concludes by arguing that organization (data controller) need to manage PDP requirements and individuals (data subject) could set preventive action to protect their digital accounts. These findings provide a potential mechanism for prevent personal data - GDPR compliant methods like pseudonymization and encryption. read more... read less...
Keywords: Data transfer, data privacy, pseudonymization, encryption, GDPR, ePrivacy
JUSPN, volume-12 , Issue 1 (2020), PP 09 - 15
Published: 17 Jan 2020
by Mohamed TALHA, Nabil ELMARZOUQI, Anas ABOU EL KALAM from ENSA UCA, Marrakesh, Morocco, 40000
Abstract: Quality and Security are two major issues in Big Data that pose many challenges. High volume, heterogeneity and high speed of data generation and processing are, amongst others, common challenges that must be addressed before setting up any data quality management system or data security system. This document provides an overview of data quality and data security in a Big Data context and highlights the conflicts that may exist during the implementation of these systems. Such a conflict makes the setting up of such systems even more complex and the reflection into new solutions becomes a major prerequisite. In this paper, we consider these challenges to present a global solution to evaluate the quality of data without impacting data security and without it becoming a barrier. read more... read less...
Keywords: Big Data, Data Quality, Data Security, Accuracy Assessment, Record Linkage, Big Data Sampling
Performance Testing for VoIP Emergency Services: a Case Study of the EMYNOS Platform and a Reflection on potential Blockchain Utilisation for NG112 Emergency Communication
JUSPN, volume-12 , Issue 1 (2020), PP 01 - 08
Published: 12 Jan 2020
by Budankailu Sameer Kumar Subudhi, Faruk Catal, Nikolay Tcholtchev, Kin Tsun Chiu, Yacine Rebahi, Michell Boerger and Philipp Lämmel from Fraunhofer FOKUS, Kaiserin-Augusta-Allee 31, Berlin, 10589, Germany
Abstract: VoIP-based emergency communication is a promising approach to improving the safety of citizens worldwide. The transition required in this scope includes substituting the legacy PSTN/SS7 based emergency call system by Next Generation IP based components for call establishment and control. Thereby, SIP is used as a session control protocol and RTP as the means to transfer emergency data between the caller and the corresponding Public Safety Access Point (PSAP). The emergency data is not only restricted to voice communication but can cover a rich variety of data, which can be acquired by different means (including the end-user devices) and transmitted over IP. This includes video, geo- positioning data, voice, Real-Time Text, and sensor data in line with emerging IoT architectures and approaches. A vital aspect in this scope is given by the performance of the underlying network, including its capability to establish calls in emergencies and to transfer the data required for serving the situation. Therefore, in this paper, we evaluate the computational performance of the most recent VoIP emergency system implementation, which was developed by the H2020-EMYNOS project as a realisation of the EENA NG112 Long Term Definition (LTD) vision. We perform a series of trials and evaluate the performance of the EMYNOS system in a multi-party lab environment established during the project. We evaluate the time needed to perform basic emergency call operations over IP, whilst in parallel generating Internet type of background traffic. Correspondingly, we worked out a methodology and implemented it in our testbed, both of which are presented in the current paper. The obtained numerical results lead to the conclusion that SIP-based emergency services stand a good chance to replace legacy systems when it comes to their performance. Additionally, we also provide a perspective on how the blockchain technology could potentially be put to use to enhance the quality of the next-generation emergency services. We propose the utilisation of blockchain technology for tracking emergency calls and enabling efficient recognition of fraud calls, which is a critical aspect for PSAP providers concerning the potential denial of service attacks. In this context, we provide evaluations and numerical results based on a private Ethereum based blockchain playground running at the premises of Fraunhofer FOKUS. read more... read less...
Keywords: performance testing; SIP, VoIP, NG112, PSAP, NGN, background traffic, blockchain, fraud-detection