203 research outputs found
Managing SLA Violation in the cloud using Fuzzy re-SchdNeg Decision Model
No full textThe rapid increase in the number of consumers and a dynamic change like cloud computing causes different challenges for the service providers to fulfil the service level agreement (SLA). When the SLA violation occurs, the SaaS providers not only to pay the agreed penalty in terms of money, but the trusted relationship may affect that impact on lose of current or potential customers. Therefore, the interacting parties need a proactive SLA management system that alerts beforehand the service provider when it detects any expected violation and provides an optimal decision system to regulate and scale available resources to avoid service violation. Most of the existing studies focused on predicting SLA violation to avoid SLA violation, however, they have ignored considering the process of rescheduling and renegotiation while dealing with service violation that plays a vital role to prevent service violation. In this paper, we propose a fuzzy rescheduling/negotiation (re-SchdNeg) decision support system that offers the best alternative solution for SaaS providers to apply rescheduling techniques to allocate potential violated jobs on available resources. When the system finds the available services are insufficient to handle the possible violated job, the system will start a renegotiation session
THE PRODUCTION AND PERCEPTION OF EMPHASIS IN QASSIMI ARABIC
No full textThis work is embargoed by the author and will not be publicly available until December 2025.This dissertation explores emphasis effects (EE) in Qassimi Arabic (QA), examining whether EE functions as a phonetic or phonological process. EE is a well-documented phenomenon in Arabic linguistics, involving the influence of emphatic consonants on neighboring segments (Ghazali, 1977; Card, 1983; Davis, 1995; among others). The study also investigates emphasis perception in QA, specifically whether EE cues assist native QA listeners in identifying preceding or following consonants as emphatic or plain.As prior research exploring EE in various Arabic varieties has revealed variation among them, and limited research exists on emphasis perception by native Arabic listeners, this dissertation addresses these gaps by examining EE production and emphasis perception in the understudied variety of QA. In the production experiment, dynamic aspects of leftward and rightward EE on QA vowels were examined by analyzing second formants (F2) at 11 temporal points. Results indicate that leftward EE had a categorical effect on non-high vowels [a] and [aː], as well as the high front vowel [i], impacting them throughout their duration, providing evidence for it being a phonological process in QA. In contrast, rightward EE primarily affected the vowel onset, suggesting it as a gradual phonetic process rather than a categorical phonological one. In the perception experiments, the perceptual correlates of emphasis in QA were investigated using the gating paradigm (Grosjean, 1980). Native QA listeners accurately identified the following consonant using leftward EE cues, even within the shortest gate containing one-third of the vowel, indicating proficiency in using leftward EE cues throughout the vowel. However, for rightward EE cues, accuracy in identifying the preceding consonant as emphatic or plain improved significantly only when the entire vowel duration was audible. These findings align with the production experiment, confirming leftward EE as a phonological process and rightward EE as a phonetic process. The dissertation’s results have implications for understanding EE and emphasis perception in QA, emphasizing the importance of considering both phonological and phonetic processes when investigating EE and highlighting the significance of coarticulatory information in rightward emphasis perception. This nuanced understanding advances research into emphasis across Arabic varieties and Semitic languages.2025-12-1
Extending a Reactive Expression Language with Data Update Actions for End-User Application Authoring
No full textMavo is a small extension to the HTML language that empowers non-programmers to create simple web applications. Authors can mark up any normal HTML document with attributes that specify data elements that Mavo makes editable and persists. But while applications authored with Mavo allow users to edit individual data items, they do not offer any programmatic data actions that can act in customizable ways on large collections of data simultaneously or that modify data according to a computation. We explore an extension to the Mavo language that enables non-programmers to author these richer data update actions. We show that it lets authors create a more powerful set of applications than they could previously, while adding little additional complexity to the authoring process. Through user evaluations, we assess how closely our data update syntax matches how novice authors would instinctively express such actions, and how well they are able to use the syntax we provided
Trends in Using IoT with Machine Learning in Health Prediction System
No full textMachine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things (IoT) data. These hybrid technologies work smartly to improve the decision-making process in different areas such as education, security, business, and the healthcare industry. ML empowers the IoT to demystify hidden patterns in bulk data for optimal prediction and recommendation systems. Healthcare has embraced IoT and ML so that automated machines make medical records, predict disease diagnoses, and, most importantly, conduct real-time monitoring of patients. Individual ML algorithms perform differently on different datasets. Due to the predictive results varying, this might impact the overall results. The variation in prediction results looms large in the clinical decision-making process. Therefore, it is essential to understand the different ML algorithms used to handle IoT data in the healthcare sector. This article highlights well-known ML algorithms for classification and prediction and demonstrates how they have been used in the healthcare sector. The aim of this paper is to present a comprehensive overview of existing ML approaches and their application in IoT medical data. In a thorough analysis, we observe that different ML prediction algorithms have various shortcomings. Depending on the type of IoT dataset, we need to choose an optimal method to predict critical healthcare data. The paper also provides some examples of IoT and machine learning to predict future healthcare system trends.</jats:p
ScrAPIr: Making Web Data APIs Accessible to End Users
No full textUsers have long struggled to extract and repurpose data from websites by laboriously copying or scraping content from web pages. An alternative is to write scripts that pull data through APIs. This provides a cleaner way to access data than scraping; however, APIs are effortful for programmers and nigh-impossible for non-programmers to use. In this work, we empower users to access APIs without programming. We evolve a schema for declaratively specifying how to interact with a data API. We then develop ScrAPIr: a standard query GUI that enables users to fetch data through any API for which a specification exists, and a second GUI that lets users author and share the specification for a given API. From a lab evaluation, we find that even non-programmers can access APIs using ScrAPIr, while programmers can access APIs 3.8 times faster on average using ScrAPIr than using programming
Argument Structure in Arabic: Lexicon or Syntax?
No full textabstract: A question that has driven much of the current research in formal syntax is whether it is the lexicon or the syntax that determines the argument structure of a verb. This dissertation attempts to answer this question with a focus on Arabic, a language that has received little attention in the literature of argument structure. In this dissertation, argument structure realization is examined in relation to three different components, namely the root, the CV-skeleton and the structure around the verb. I argue that argument structure is not determined on a root level in Arabic. I also show that only few CV-skeletons (verb patterns) are associated with certain argument structures. Instead, the burden of determining argument structure lies on elements around the structure of VP. The determinants of inner aspect in Arabic and the relation between eventuality types and argument structure are also examined. A cartographic model is provided to show how elements around the VP play a role in determining the inner aspect. This model also represents a relationship between argument structure and eventuality types. The question of what determines argument structure is further addressed through the investigation of the causative/inchoative alternation in Arabic in light of recent semantic and syntactic accounts. I argue that most Arabic verbs that undergo the alternation are non-agentive change-of-state verbs. Although certain lexical characteristics may account for which verbs alternate and which do not, exceptions within a language and/or across languages do exist. I point to a range of phenomena that can be only explained from syntactic points of view.Dissertation/ThesisPh.D. English 201
Sonochemistry dosimetries in seawater
No full textInternational audienceDue to the complex physical and chemical interactions taking place in the sonicated medium, various methods have been proposed in the literature for a better understanding of the sonochemical system. In the present paper, the performance of calorimetry, iodometry, Fricke, 4-nitrophenol, HO, and ascorbic acid dosimetry techniques have been evaluated over the electric power range from 20 to 80 W (f = 300 kHz). These methods have been analyzed for distilled and seawater in light of the literature findings. It has been found that the lowest temperatures and calorimetric energies were obtained for seawater in comparison to distilled water. However, the discrepancy between both mediums disappears with the increase in the electric power up to 80 W. Compared to the calorimetry results, a similar trend was obtained for the KI dosimetry, where the discrepancy between both solutions (seawater and distilled water) increased with the reduction in the electric power down to 20 W. In contrast, over the whole range of the electric power (20–80 W), the H2O2 dosimetry was drastically influenced by the salt composition of seawater, where, I formation was clearly reduced in comparison to the case of the distilled water. On the other hand, a fluctuated behavior was observed for the Fricke and 4-nitrophenol dosimetry methods, especially at the low electric powers (20 and 40 W). It has been found that dosimetry techniques based on ascorbic acid or potassium iodide are the best means for accurate quantification of the sonochemical activity in the irradiated liquid. As a result, it has been concluded, in terms of the dosimetry process’s performance, that the dosimetry methods are in the following order: Ascorbic acid ≈ KI > Fricke > 4-nitrophenol > HO
Maintaining the feasibility of hard real-time systems with a reduced number of priority levels
No full textWhen there is a mismatch between the cardinality of a periodic task set and the priority levels supported by the underlying hardware systems, multiple tasks are grouped into one class so as to maintain a specific level of confidence in their accuracy. However, such a transformation is achieved at the expense of the loss of schedulability of the original task set. We further investigate the aforementioned problem and report the following contributions: (i) a novel technique for mapping unlimited priority tasks into a reduced number of classes that do not violate the schedulability of the original task set and (ii) an efficient feasibility test that eliminates insufficient points during the feasibility analysis. The theoretical correctness of both contributions is checked through formal verifications. Moreover, the experimental results reveal the superiority of our work over the existing feasibility tests by reducing the number of scheduling points that are needed otherwise
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