Fractal and texture analysis are computer techniques which can discriminate between the shapes of benign and malignant tumors. The goal of present paper is to describe a method and an algorithm for automatic detection of malignancy of skin lesions which is based on both local fractal features (local fractal dimension) and texture features which derives from the medium co-occurrence matrices (contrast, energy, entropy, homogeneity). The global application was tested on a set of medical images obtained with a dermoscope and a digital camera, all from cases with known diagnostic. The experimental results confirm the efficiency of the proposed method.

/pdf/medical-images-classification-for-skin-cancer-diagnosis-1c2dd48sz8.pdf

Medical images classification for skin cancer diagnosis based on combined texture and fractal analysis

Digital transformation and automation in the shipping industry is resulting disruptive changes to ship design, operations, and manning that aim to enhance safety, efficiency, and the environmental sustainability of maritime logistics. While there is growing research interest in these areas, examining the role of human element in the new smart shipping context is largely neglected. Through a systematic literature review, this paper aims to explore the multi-dimensional impact of autonomous shipping technology resulting from the application of Industry 4.0 and future industrial revolutions on seafarers. The impacts include the changing role of seafarers on-board and the strategies required to engage seafarers in their transition from traditional shipping to autonomous and smart shipping. The paper concludes that Industry 4.0 is being challenged for its shortfall in recognition of the importance of human role and its intelligence in the expected current industrial revolution. As a result, there is a demand to look further and beyond Industry 4.0 by introducing the next generation of industrial revolution, namely Industry 5.0. This paper suggests that the impact of this revolution in the maritime industry can be defined by concepts such as Maritime 5.0, Shipping 5.0, Seafarer 5.0, Maritime Education and Training 5.0 (MET 5.0). 

Industrial revolutions and transition of the maritime industry: The case of Seafarer’s role in autonomous shipping

Fog computing architecture is referred to the architecture that is distributed over the geographical area. This architectural arrangement mainly focuses on physical and logical network elements, and software for the purpose of implementing proper network. Fog computing architecture allows the users to have a flexible communication and also ensures that the storage services are maintained efficiently for the purpose of managing the data. However, it has been observed that in the field of education fog computing architecture has gained huge importance due to its real time application feature. The main objective of the survey is to develop a systematic literature review for the technology of fog computing in the education IoT system. The survey will also focus on evaluating the essential factors that has a crucial role in the fields of education as well as investigating the limitation and findings associated with the fog computing technologies in educational systems from the perspective of privacy, security, and agility.

/pdf/utilizing-technologies-of-fog-computing-in-educational-iot-4iym0nrieo.pdf

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Digital transformation and automation in the shipping industry is resulting disruptive changes to ship design, operations, and manning that aim to enhance safety, efficiency, and the environmental sustainability of maritime logistics. While there is growing research interest in these areas, examining the role of human element in the new smart shipping context is largely neglected. Through a systematic literature review, this paper aims to explore the multi-dimensional impact of autonomous shipping technology resulting from the application of Industry 4.0 and future industrial revolutions on seafarers. The impacts include the changing role of seafarers on-board and the strategies required to engage seafarers in their transition from traditional shipping to autonomous and smart shipping. The paper concludes that Industry 4.0 is being challenged for its shortfall in recognition of the importance of human role and its intelligence in the expected current industrial revolution. As a result, there is a demand to look further and beyond Industry 4.0 by introducing the next generation of industrial revolution, namely Industry 5.0. This paper suggests that the impact of this revolution in the maritime industry can be defined by concepts such as Maritime 5.0, Shipping 5.0, Seafarer 5.0, Maritime Education and Training 5.0 (MET 5.0).

This paper describes the teaching model for Education 4.0, that uses elements from different disciplines such as electronic technology, Artificial Intelligence (AI), health, multimodal learning analytics, education, etc. Smart blended learning process for Education 4.0, implements in each phase AI methods such as user modeling, adaptivity, machine learning, chatbots, and semantic text recognition tools to increase learning success and to reduce the dropout rate in examinations. On the one hand, multimodal data, from online course and wearables, enables further statements about the concrete learning situation, and on the other hand, it increases the students' subjective experience of emotional states, their stress perception, well-being or energy level. This paper reports on experiments where the combination of AI, Internet of Things (IoT) and Biofeedback in a smart blended learning process attempt to consider the characteristics of learners better.

Education 4.0: AI Empowers Smart Blended Learning Process with Biofeedback

Artificial Intelligence (AI) will play a key role in Higher Education. Our contribution leads the road to innovation within IoT for Education 4.0, using a system comprising smartwatch data, health data, learning analytics and Artificial Intelligence. By using embedded sensors from wearable devices, we can add value to Education 4.0. Smartwatches are IoT devices, equipped with a multitude of embedded sensors collecting distraction-free huge amounts of real-time data during students’ learning. In our paper we highlight advantages of wrist-based wearables like smartwatches for Education 4.0. We develop a User Experience Questionnaire for the measurement of acceptance of advanced electronic technology in Higher Education. We identify as experiment’s results the most important sensors and protocols for Education 4.0.

Education 4.0 – Jump to Innovation with IoT in Higher Education

Perceptual Video Quality (PVQ) is the main parameter in television (TV) broadcasting, since the best subjective video and audio quality for the viewers is the aim of any TV system. PVQ in TV satellite broadcasting is a major concern not only for satellite Direct to Home (DTH) TV providers, but it is also an important parameter for cable TV and DTT (Digital Terrestrial Television) providers, since most of their broadcasted television channels are received at their headends through a satellite link. Most of the TV service providers measure and monitor the Quality of Service (QoS) in their networks. This is not enough since QoS and PVQ are not always related in a simple manner. This paper describes a general application for TV providers that can measure and monitor in real time the viewer's PVQ, in order to specify the influences on PVQ score of the transponder broadcasting plan and receiving earth station parameters. The measurement platform is able to measure both the QoS and PVQ, thus allowing the engineers to identify the cause of a possible low quality for video and/or audio in a broadcasted TV channel.

Perceptual Video Quality measurement method for satellite broadcasting

The Education 4.0 process can be used to foster students' performance, to motivate them by means of adaptive and personalized learning, to automate answering routine questions and to improve the quality of online examinations. It releases teachers from routine tasks, and it enables them to be more involved in the individualization of the educational process and in innovation. We apply artificial intelligence methodology to motivate students to improve their performance, and to identify early in course which students are at-risk of dropping out. In the adaptive Education 4.0 loT framework, the environmental and embedded sensors from wearables examine biosignals with biofeedback, such as pulse (HR) and heart rate variability (HRV), thereby increasing students' self-reflection, and allowing for a more personalized learning experience. The first experiments corroborate meaningful correlations between the data-points reached in the self-assessments, and values of the biosignals.

Education 4.0: An Adaptive Framework with Artificial Intelligence, Raspberry Pi and Wearables - Innovation for Creating Value

This paper present an analysis of the method for the evaluation of quality of the images from the video signal. The results are based on the simulation of the human perception. The device used for the evaluation is a TEKTRONIX PQA500 Picture Quality Analyzer.

/pdf/methods-of-measure-and-analyse-of-video-quality-of-the-image-1d3yqyrbdh.pdf

Methods of measure and analyse of video quality of the image

The analyze of MER (the modulation error) for the DVB-T (Digital Video Broadcasting Terrestrial) signal is studied in this article. The analyze of MER variation was made on the Romanian territory in two locations with and without obstacles. The results show that the DVB-T signal had a better quality and the DVB-T transmissions in the both locations are less affected by the noise.

http://www.wseas.us/e-library/conferences/2009/baltimore/DNCOCO/DNCOCO-22.pdf

Ioan Tache

Papers

Education 4.0 – Jump to Innovation with IoT in Higher Education

Perceptual Video Quality measurement method for satellite broadcasting

Education 4.0: An Adaptive Framework with Artificial Intelligence, Raspberry Pi and Wearables - Innovation for Creating Value

Methods of measure and analyse of video quality of the image

The analyze of MER variation concerning the quality of transmission for DVB-T signals