{"title":"CrowdApp: Crowdsourcing for application rating","authors":"F. Saab, I. Elhajj, A. Chehab, A. Kayssi","doi":"10.1109/AICCSA.2014.7073247","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073247","url":null,"abstract":"One of the main concerns for application developers is user satisfaction. Before installing any application from an app market, users first look at the app rating and the number of times it was downloaded. However, ratings are not made by experts, are subjective, and require user involvement; therefore, a large number of reviews are needed before the ratings become statistically reliable. One way to obtain user input transparently is to collect data from devices through crowdsourcing. In this work, we present CrowdApp, a crowdsourcing-based application that continuously runs in the background and collects data from the device without any active user participation (transparent crowdsourcing). Then it computes a score for every app installed on the device. The application was tested on Android. Our results show that there is a high correlation (> 0.8) between CrowdApp scores and Google Play scores. More importantly, CrowdApp scores also agreed with subjective ratings by the users themselves at the end of the experiment period.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"43 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130473876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An analysis and assessment approach for collaborative process in service-oriented architectures","authors":"Marouane Hachicha, N. Moalla, Y. Ouzrout","doi":"10.1109/AICCSA.2014.7073269","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073269","url":null,"abstract":"The role of Information Technology (IT) is critical in supporting business processes. This role is even more critical when organizations operate in a dynamic, uncertain and extremely competitive environment. The growing role of IT in organizations imposes the alignment of their use with business processes requirements and company strategy. The necessity of Business/IT alignment is a key to improve business performance. This paper proposes a methodology for analyzing and evaluating the quality of business process execution. The aim of this methodology is to assess the business process during its lifecycle and to propose some solutions to restore the alignment between IT infrastructure and Business Process in a collaborative context. Our approach is composed of 5 models, (1) analysis reference model (risk, maturity...) for analyzing the component execution traces in business processes, (2) ontological model to ensure the description of processes between the applicative level (execution), functional level and business level, (3) interpretation model (butom-up) for aggregating the performance of processes at business level, (4) assessment business process model based on Key Indicators Performance and (5) aggregation model to validate the final performance for collaborative business process.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116802954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Y. Al-nasheri, Z. Ali, Muhammad Ghulam, M. Alsulaiman
{"title":"Voice pathology detection using auto-correlation of different filters bank","authors":"Ahmed Y. Al-nasheri, Z. Ali, Muhammad Ghulam, M. Alsulaiman","doi":"10.1109/AICCSA.2014.7073178","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073178","url":null,"abstract":"This paper investigates the contribution of frequency bands for automatic voice pathology detection. First, the input voice signal is passed through a number of time-domain band-pass filters. The center frequencies are spaced on an octave scale. Each filter output is then divided into overlapping frames. Auto-correlation function is applied to each block to find the first largest peak, in areas other than near the dc value, and its corresponding lag. Therefore, each frame is having only these two features (peak value and lag). As classifier, we use Gaussian mixture models (GMM) and support vector machine (SVM), separately. Two well-known available databases, one in English (MEEI) and the other one in German (SVD), are used in the investigation. The results demonstrate that the most significant frequency range to detect voice pathology is between 1500 Hz and 3500 Hz. Using this filter band and with only two features, the accuracy is above 97% in case of the MEEI database.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128365702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A survey of semantic web concepts applied in web services and big data","authors":"Eman Rezk, S. Foufou","doi":"10.1109/AICCSA.2014.7073278","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073278","url":null,"abstract":"Semantic means adding meaning and understanding. Applying semantic web concepts to web services produces semantic web services. These combined type of services transfer web services from such static functionalities to more intelligent components that can be processed and interpreted automatically on machines without human intervention. Applying semantic web to web data produces Linked Data. This data allows the reuse, share and linking between different sources of data easily and in a standard manner. In this paper, we discuss how semantic web concepts are applied on both web services and web data.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132922440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mining patterns in Big Data K-H networks","authors":"A. Hamed, Xindong Wu, T. Fandy","doi":"10.1109/AICCSA.2014.7073196","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073196","url":null,"abstract":"Can keyword-hashtag networks, derived from Big Data environments such as Twitter, yield clinicians a powerful tool to extrapolate patterns that may lead to development of new medical therapy and/or drugs? In our paper, we present a systematic network mining method to answer this question. We present HashnetMiner, a new pattern detection algorithm that operates on networks of medical concepts and hashtags. Concepts are selected from widely accessible databases (e.g., Medical Subject Heading [MeSH] descriptors, and Drugs.com), and hashtags are harvested from the associations with concepts that appear in tweets. The algorithm discerns promising discoveries that will be further explained in this paper. To the best of our knowledge, this is the first effort that uses Big Data networks mining to address such a question.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128970786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Akhlaq Ahmad, Mohamed Abdur Rahman, F. Rehman, A. Lbath, Imad Afyouni, Abdelmajid Khelil, Syed Osama Hussain, Bilal Sadiq, M. Wahiddin
{"title":"A framework for crowd-sourced data collection and context-aware services in Hajj and Umrah","authors":"Akhlaq Ahmad, Mohamed Abdur Rahman, F. Rehman, A. Lbath, Imad Afyouni, Abdelmajid Khelil, Syed Osama Hussain, Bilal Sadiq, M. Wahiddin","doi":"10.1109/AICCSA.2014.7073227","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073227","url":null,"abstract":"We propose a context aware framework that offers a set of cloud-based services to support a very large Hajj and Umrah crowd by capturing their contexts using smartphones. The proposed framework captures the individual's context, provides a set of adapted services, and allows being in touch with a subset of one's community of interest. We leverage the spatiotemporal sensory data captured by our framework to define users' contexts for optimized services. Our proposed framework is also envisioned to assist the Hajj and Umrah authorities to (1) improve Hajj & Umrah documentation, (2) improve Hajj organization through better understanding of pilgrims' (individual and crowd) spatial and temporal behavior and needs, and (3) protect pilgrims' environment through environmental monitoring. In particular, the developed methods, techniques, and algorithms will support the pilgrimage quality of experience. We have tested our system through end-user subjects and due to apply for the upcoming Hajj events. We present our implementation details and the general impression of end users about our system.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"350 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115969538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Evmorfia Biliri, Michael Petychakis, Iosif Alvertis, Fenareti Lampathaki, S. Koussouris, D. Askounis
{"title":"Infusing social data analytics into Future Internet applications for manufacturing","authors":"Evmorfia Biliri, Michael Petychakis, Iosif Alvertis, Fenareti Lampathaki, S. Koussouris, D. Askounis","doi":"10.1109/AICCSA.2014.7073242","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073242","url":null,"abstract":"Today, a new age of engagement and collaboration has emerged with the proliferation of usergenerated content in social networks and generally the Web 2.0, rendering it particularly difficult for enterprises to monitor and act upon all content following conventional data mining methodologies. In this paper, we present our approach for a Future Internet enabler (FITMAN Anlzer) that provides automated, social data analytics and aims at assisting enterprises in becoming more tuned to their customer needs and gaining insights into current and future trends to early embed them into product design. The FITMAN Anlzer implementation is domainindependent and allows any manufacturer to effectively train it based on his needs and create personalized reports to timely capture the right information. Our methodology includes trend analytics, polarity detection through machine learning, data querying through flexible reports and finally informative charts to visualize the results in order to help companies in their decision making procedures.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117221977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nora Al-Twairesh, Hend Suliman Al-Khalifa, A. Al-Salman
{"title":"Subjectivity and sentiment analysis of Arabic: Trends and challenges","authors":"Nora Al-Twairesh, Hend Suliman Al-Khalifa, A. Al-Salman","doi":"10.1109/AICCSA.2014.7073192","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073192","url":null,"abstract":"Recently, subjectivity and sentiment analysis of Arabic has received much attention from the research community. In the past two years, an enormous number of references in the field have emerged compared to what has been published in previous years. In this paper, we present an updated survey of the emerging research on subjectivity and sentiment analysis of Arabic. We also highlight the challenges and future research directions in this field.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124415340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the interplay between clustering and power control in multihop wireless networks","authors":"Z. H. Mir, K. Lim, Young-Bae Ko","doi":"10.1109/AICCSA.2014.7073214","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073214","url":null,"abstract":"Topology control offers many advantages for wireless networks such as reduced energy cost, simplified communication graph and network-wide connectivity. There are mainly two methods for managing the network topology. In clustering, a hierarchy of backbone nodes is selected to improve on the systems scalability and network lifetime whereas in power control each node adjusts its transmission power to achieve certain desirable properties of the resulting topology. While the focus of the former approach is to find an ideal number of the backbone nodes, the main objective of the later approach is to estimate a minimal power level which can solve multi-objective design problem. There have been several topology control protocols proposed however they miss the potential of combining both approaches. In this paper we propose Two-Tiered Topology Control (TTTC) protocol, a generic framework which combines the clustering and power control approach towards topology control and evaluate different conditions under which it performs well. TTTC operation is divided into two phases. During the first phase, a parameterized clustering algorithm is executed to obtain clusters of varying properties. At the end of first phase, the network is organized into two tiers. The backhaul-tier consists of cluster-head nodes while the connectivity-tier contains the cluster-members. In the second phase, each cluster-head runs a local MST-based power control algorithm. Simulation results show that proposed framework achieves efficient trade-off in terms of energy cost, neighbor count and hop count while maintaining fully connected network. Moreover, the framework relies on local available information with lower communication overhead.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131345309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emotion conversion for expressive Arabic text to speech","authors":"Doaa Gamal, M. Rashwan, Sherif M. Abdou","doi":"10.1109/AICCSA.2014.7073218","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073218","url":null,"abstract":"Emotion conversion using a small speech corpus is very important for expressive text to speech systems. Applying the unit selection paradigm for intonation conversion has been widely used for different languages using different intonation units. In this paper, an emotion conversion system is proposed for expressive Arabic speech. This system combines the transformation of both spectral and prosodic (pitch, duration, and energy) parameters of speech based on the linguistic context. Unit selection is used for pitch conversion and the effect of using different intonation units and different pitch detectors is studied. We also study the effect of converting each speech parameter, using our proposed system, on different expressions. Subjective tests were carried out to evaluate the system on three target expressions: sadness, happiness and questioning. Results show the effectiveness of both syllable and word units as the basic intonation unit for pitch conversion, however using syllables gives higher expressiveness for sadness and happiness. Results also show that converting pitch contours using our system is dominant for the happiness and questioning and highly affects the sadness, while duration conversion affects only sadness, spectral conversion affects only happiness, and decreasing the energy level adds more expressiveness to sadness. Finally, the evaluation of the overall system for emotion conversion shows that the proposed system managed to add an acceptable expressiveness in Arabic speech with a good quality for sadness and happiness. The same results can be obtained for questioning if only the pitch contour is converted, since spectral conversion degrades the output quality without increasing the expressiveness and duration conversion has no effect on questioning.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130436605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}