FCSIT Research Bulletin 2017

The FCSIT Research Bulletin is an annual publication of the Faculty of Computer Science and Information Technology, UNIMAS. The purpose of FCSIT Research Bulletin is to disseminate information that represent the current state of the research activities, publications, research findings, training, conferences and seminar conducted by the academicians in the faculty

Towards More Reliable MAC and PHY Layer Designs for High QoS Achievements for Safety Messaging in DSRC Systems

Broadcast communications are widely proposed for safety messaging. In the case of highway vehicular networks and constantly communicating safety messages inevitably cause the well-known hidden terminal problem. Three existing leading repetition-based broadcasting protocols have shown to meet the reliability and delay requirements for Dedicated Short Range Communications (DSRC) safety systems. We propose a quantitative model to evaluate the quality of service (QoS) of DSRC systems using these three leading repetition-based protocols under hidden terminals and highway scenarios. The performance of our model is analyzed by means of probability of success and delay performances. We also present three new Medium Access Control (MAC) layer design protocols for safety messaging applications. The main protocol we introduce is known as Passive Cooperative Collision Warning (PCCW) protocol for repetition based vehicular safety message reception reliability improvement in DSRC. The PCCW protocol and jointly proposed Enhanced-PCCW (EPCCW) and emergency-PCCW (ePCCW) protocols variants can work on top of existing repetition protocols for serving as a passive collision warning mechanism in the MAC Layer. A full analytical derivation of the relative reliability and delay performances for all three PCCW, EPCCW and ePCCW protocols are provided, serving as intuitive performance evaluators. EPCCW employs the physical (PHY) layer to create sub-slots for the purpose of further increasing reliability by both avoiding and minimizing probability of collision at slots that would nominally fail. Analytical and simulation results of PCCW and EPCCW agree, and show a significant reduction in message failure rate versus the leading repetition protocols, especially under high collision scenarios up to 40% at optimal, and 80% at higher repetitions. Additionally, an improvement in average timeslots delay is observed, which facilitates improved vehicular safety messaging. ePCCW is particularly useful for emergency vehicle (EV) communications. This enhancement makes meeting stringent quality of service (QoS) requirements particularly prevalent in safety applications of DSRC systems. ePCCW show up to 77% reliability improvement relative to a leading alternative is realized. Additionally, the proposed system is shown to have a decreased average timeslots delay that is well within acceptable delay threshold, and provides the best reliability in its class, which is key to safety messaging. In all our simulation results, we use our accurate Orthogonal Frequency Division (OFDM) MAC and physical (PHY) layer designs. The PHY layer simulator is a new object-oriented simulation environment, and is achieved using high-level design, parallelism and usability for the simulation environment. A high-level design and GUI layouts of the proposed simulator is shown in details. This can serve as a learning/research tool for students or practiced professionals to investigate particular designs. In addition, we provide a simple technique to implement simulation partitioning for increased parallel performance of reconfigurable object-oriented OFDM simulators. This simple technique applies to scenarios where there is disproportionate simulation duration between different OFDM configurations. It is shown to decrease total simulation time considerably. Additionally, we present a study on different demapping schemes at the PHY level. We propose the use of a linear demapper over a recently proposed non-linear demapper. The study is also presented under different decoding schemes of DSRC receivers. We also propose the use of equalization concepts in frequency domain that exploit the frequency domain channel matrix to combat inter-carrier interference (ICI) instead of inter-symbol interference (ISI) in DSRC systems. It is shown that the DSRC system with the frequency-domain equalization scheme achieves a considerable performance enhancement compared to both the conventional and the Viterbi-aided channel estimation schemes that try to combat ISI in terms of both Packet Error Rate (PER) and Bit Error Rate (BER) at relatively high and low velocities

Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach

The mammography image eccentric area is the breast density percentage measurement. The technical challenge of quantification in radiology leads to misinterpretation in screening. Data feedback from society, institutional, and industry shows that quantification and segmentation frameworks have rapidly become the primary methodologies for structuring and interpreting mammogram digital images. Segmentation clustering algorithms have setbacks on overlapping clusters, proportion, and multidimensional scaling to map and leverage the data. In combination, mammogram quantification creates a long-standing focus area. The algorithm proposed must reduce complexity and target data points distributed in iterative, and boost cluster centroid merged into a single updating process to evade the large storage requirement. The mammogram database's initial test segment is critical for evaluating performance and determining the Area Under the Curve (AUC) to alias with medical policy. In addition, a new image clustering algorithm anticipates the need for largescale serial and parallel processing. There is no solution on the market, and it is necessary to implement communication protocols between devices. Exploiting and targeting utilization hardware tasks will further extend the prospect of improvement in the cluster. Benchmarking their resources and performance is required. Finally, the medical imperatives cluster was objectively validated using qualitative and quantitative inspection. The proposed method should overcome the technical challenges that radiologists face

Journal of Telecommunications and Information Technology, 2014, nr 3

kwartalni

Advances in Intelligent Robotics and Collaborative Automation

This book provides an overview of a series of advanced research lines in robotics as well as of design and development methodologies for intelligent robots and their intelligent components. It represents a selection of extended versions of the best papers presented at the Seventh IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2013 that were related to these topics. Its contents integrate state of the art computational intelligence based techniques for automatic robot control to novel distributed sensing and data integration methodologies that can be applied to intelligent robotics and automation systems. The objective of the text was to provide an overview of some of the problems in the field of robotic systems and intelligent automation and the approaches and techniques that relevant research groups within this area are employing to try to solve them.The contributions of the different authors have been grouped into four main sections:• Robots• Control and Intelligence• Sensing• Collaborative automationThe chapters have been structured to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area

Proceedings of the Salford Postgraduate Annual Research Conference (SPARC) 2011

These proceedings bring together a selection of papers from the 2011 Salford Postgraduate Annual Research Conference(SPARC). It includes papers from PhD students in the arts and social sciences, business, computing, science and engineering, education, environment, built environment and health sciences. Contributions from Salford researchers are published here alongside papers from students at the Universities of Anglia Ruskin, Birmingham City, Chester,De Montfort, Exeter, Leeds, Liverpool, Liverpool John Moores and Manchester

Advances in Intelligent Robotics and Collaborative Automation

This book provides an overview of a series of advanced research lines in robotics as well as of design and development methodologies for intelligent robots and their intelligent components. It represents a selection of extended versions of the best papers presented at the Seventh IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2013 that were related to these topics. Its contents integrate state of the art computational intelligence based techniques for automatic robot control to novel distributed sensing and data integration methodologies that can be applied to intelligent robotics and automation systems. The objective of the text was to provide an overview of some of the problems in the field of robotic systems and intelligent automation and the approaches and techniques that relevant research groups within this area are employing to try to solve them.The contributions of the different authors have been grouped into four main sections:• Robots• Control and Intelligence• Sensing• Collaborative automationThe chapters have been structured to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area

Assessing vulnerability and modelling assistance: using demographic indicators of vulnerability and agent-based modelling to explore emergency flooding relief response

Flooding is a significant concern for much of the UK and is recognised as a primary threat by most local councils. Those in society most often deemed vulnerable: the elderly, poor or sick, for example, often see their level of vulnerability increase during hazard events. A greater knowledge of the spatial distribution of vulnerability within communities is key to understanding how a population may be impacted by a hazard event. Vulnerability indices are regularly used – in conjunction with needs assessments and on-the-ground research – to target service provision and justify resource allocation. Past work on measuring and mapping vulnerability has been limited by a focus on income-related indicators, a lack of consideration of accessibility, and the reliance on proprietary data. The Open Source Vulnerability Index (OSVI) encompasses an extensive range of vulnerability indicators supported by the wider literature and expert validation and provides data at a sufficiently fine resolution that can identify vulnerable populations. Findings of the OSVI demonstrate the potential cascading impact of a flood hazard as it impacts an already vulnerable population: exacerbating pre-existing vulnerabilities, limiting capabilities and restricting accessibility and access to key services. The OSVI feeds into an agent-based model (ABM) that explores the capacity of the British Red Cross (BRC) to distribute relief during flood emergencies using strategies based upon the OSVI. A participatory modelling approach was utilised whereby the BRC were included in all aspects of the model development. The major contribution of this work is the novel synthesis of demographics analysis, vulnerability mapping and geospatial simulation. The project contributes to the growing understanding of vulnerability and response management within the NGO sector. It is hoped that the index and model produced will allow responder organisations to run simulations of similar emergency events and adjust strategic response plans accordingly

Хмарні технології в освіті: матеріали 7 семінару CTE 2019

This volume represents the proceedings of the 7th Workshop on Cloud Technologies in Education (CTE 2019), held in Kryvyi Rih, Ukraine, in December 20, 2019. It comprises 42 contributed papers that were carefully peer-reviewed and selected from 66 submissions. The accepted papers present the state-of-the-art overview of successful cases and provides guidelines for future research. The volume is structured in four parts, each presenting the contributions for a particular workshop track.Цей том представляє матеріали 7-го семінару "Хмарні технології в освіті" (CTE 2019), який відбувся у Кривому Розі, Україна, 20 грудня 2019 року. Він містить 42 доповіді, ретельно перевірені та відібрані з 66 робіт. Прийняті документи представляють сучасний огляд успішних випадків та надають рекомендації щодо майбутніх досліджень. Том складається з чотирьох частин, кожна з яких представляє внески для певного тематичного напряму семінару