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Search Results: 1 - 10 of 141 matches for " Bashar Nuseibeh "
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A Hybrid Model for Automatic Emotion Recognition in Suicide Notes
Hui Yang, Alistair Willis, Anne de Roeck and Bashar Nuseibeh
Biomedical Informatics Insights , 2012, DOI: 10.4137/BII.S8948
Abstract: We describe the Open University team's submission to the 2011 i2b2/VA/Cincinnati Medical Natural Language Processing Challenge, Track 2 Shared Task for sentiment analysis in suicide notes. This Shared Task focused on the development of automatic systems that identify, at the sentence level, affective text of 15 specific emotions from suicide notes. We propose a hybrid model that incorporates a number of natural language processing techniques, including lexicon-based keyword spotting, CRF-based emotion cue identification, and machine learning-based emotion classification. The results generated by different techniques are integrated using different vote-based merging strategies. The automated system performed well against the manually-annotated gold standard, and achieved encouraging results with a micro-averaged F-measure score of 61.39% in textual emotion recognition, which was ranked 1st place out of 24 participant teams in this challenge. The results demonstrate that effective emotion recognition by an automated system is possible when a large annotated corpus is available.
A Hybrid Model for Automatic Emotion Recognition in Suicide Notes
Hui Yang,Alistair Willis,Anne de Roeck,Bashar Nuseibeh
Biomedical Informatics Insights , 2012,
Engineering Adaptive Digital Investigations using Forensics Requirements
Liliana Pasquale. Yijun Yu,Luca Cavallaro,Mazeiar Salehie,Thein Than Tun,Bashar Nuseibeh
Computer Science , 2014,
Abstract: A digital forensic investigation aims to collect and analyse the evidence necessary to demonstrate a potential hypothesis of a digital crime. Despite the availability of several digital forensics tools, investigators still approach each crime case from scratch, postulating potential hypotheses and analysing large volumes of data. This paper proposes to explicitly model forensic requirements in order to engineer software systems that are forensic-ready and guide the activities of a digital investigation. Forensic requirements relate some speculative hypotheses of a crime to the evidence that should be collected and analysed in a crime scene. In contrast to existing approaches, we propose to perform proactive activities to preserve important - potentially ephemeral - evidence, depending on the risk of a crime to take place. Once an investigation starts, the evidence collected proactively is analysed to assess if some of the speculative hypotheses of a crime hold and what further evidence is necessary to support them. For each hypothesis that is satisfied, a structured argument is generated to demonstrate how the evidence collected supports that hypothesis. Our evaluation results suggest that the approach provides correct investigative findings and reduces significantly the amount of evidence to be collected and the hypotheses to be analysed.
Retraction: An Improved Approach of Surface Meshes  [PDF]
Bashar Zogheib, Ali El Saheli
Applied Mathematics (AM) , 2015, DOI: 10.4236/am.2015.63048
Abstract: The article has been retracted due to the authors’ strong personal reason about the indexing databases of Applied Mathematics.
Automatic Derivation of Fault Tree Models from SysML Models for Safety Analysis  [PDF]
Bashar Alshboul, Dorina C. Petriu
Journal of Software Engineering and Applications (JSEA) , 2018, DOI: 10.4236/jsea.2018.115013
Abstract: Safety Critical Systems (SCS) are those systems that may cause harm to the user(s) and/or the environment if operating outside of their prescribed specifications. Such systems are used in a wide variety of domains, such as aerospace, automotive, railway transportation and healthcare. In this paper, we propose an approach to integrate safety analysis of SCSs within the Model Driven Engineering (MDE) system development process. The approach is based on model transformation and uses standard well-known techniques and open source tools for the modeling and analysis of SCSs. More specifically, the system modeled with the OMG’s standard systems modeling language, SysML, is automatically transformed in Fault Tree (FT) models, that can be analyzed with existing FT tools. The proposed model transformation takes place in two steps: a) generate FTs at the component level, in order to tackle complexity and enable reuse; and b) generate system level FTs by composing the components and their FTs. The approach is illustrated by applying it to a simplified industry-inspired case study.
Working Capital Management of Small Scale Industries in Rajasthan
Bashar Matarneh
International Journal of Financial Research , 2012, DOI: 10.5430/ijfr.v3n2p78
Abstract: Small scale industry (SSI) plays an important role in the economy of the state Rajasthan of India. In spite of all the odds, the SSI sector has emerged as India’s engine of growth in the new millennium. The SSI sector in India contribute almost 40% of the gross industrial value added, the study is undertaken by taking 5 years data from secondary source. From this study, it has been found the working capital management is to decide the pattern of financing of the current assets, which is one of the biggest problems of working capital management. The SSIs has to decide about the sources of funds which can be avail to make investment in the current assets. The problem of working capital management of small-scale industries is not new.
Factors Affecting Conversion of Footfalls in Retail Stores
Abu Bashar
School of Doctoral Studies Journal , 2012,
Abstract: In this research paper efforts have been made to explore various factors which affect the behavior of consumers in a retail outlet. A random sample of respondents visiting retail outlets has been considered for the present study. The paper mainly focuses towards various factors which affects the decision of the consumer in the store while they visit there for shopping. So, this research is mainly concerned with the behavior of the consumer and the various factors which are of enormous importance in converting the footfall within the stores. The paper also intends to recommend some feasible and viable strategies to be followed by retail outlets to maximize the percentage of conversion.
Compactified universal jacobian and the double ramification cycle
Bashar Dudin
Mathematics , 2015,
Abstract: Using the compactified universal jacobian over the moduli space of stable marked curves, we give an expression in terms of natural classes of the zero section of the compactified universal jacobian the (rational) Chow ring. After extending variants of the Abel-Jacobi map to a locus containing curves of treelike type we give a formula for the pullback of the said zero section along these extensions. The same approach is also applied to recover known formulas for the pullback of theta divisors to the moduli space of marked stable curves.
Comments on the ELSV compactification of Hurwitz stacks
Bashar Dudin
Mathematics , 2012,
Abstract: We revisit Ekedahl, Lando, Shapiro and Vainshtein's compactification of the stack of simply ramified covers of the projective line except for a fixed ramification profile above infinity. In particular we draw a connection with the Harris and Mumford stack of admissible covers showing that the boundary of the ELSV compactification appears as a contraction of the boundary of the stack of admissible covers. This lays the needed foundations for a combinatoral interpretation of boundary points of the ELSV compactification
Randomized Integral Gain of Pi Current Controller for A Single Pv Inverter System  [PDF]
Suriana Salimin, Matthew Armstrong, Bashar Zahawi
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.51B040
Abstract: This paper is concerned with the problem of network power quality when grid connected systems are used to feed the grid. These systems use power electronic components such as inverters that produce harmonics which adversely affect the power quality of the distribution network. Instead of using a conventional PI current controller with a fixed proportional and integral gain, development of new control method is considered to overcome the total harmonic emissions in PV inverters. It considers a modification to the controller where a random integral gain is used in the system. Experimental hardware is developed and result shows a reduced total harmonic distortion (THD) of the output current when tested with a resistive load.
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