This paper aimed at examining the Iranian EFL teachers and learners’ preferences for two types of direct oral corrective feedback, including explicit correction and metalinguistic clues, and two types of indirect oral corrective feedback, including recast and repetition. The participants included 39 teachers and 84 EFL learners, selected through purposive sampling. A scenario-based questionnair...

an enhanced displacement feedback structural control procedure is presented for performance-based design in this paper. at first, a comparative study is implemented assessing three most common active control algorithms including state, acceleration, and displacement feedback controls. the advantage of the displacement feedback algorithm for active control of structures against earthquakes is de...

abstract the study aimed at investigating the efficacy of written corrective feedback (cf) in improving iranian efl learners’ grammatical accuracy. it compared the effects of focused and unfocused written cf on the learners’ grammatical accuracy. 75 efl students formed a one control and two experimental groups. the focused feedback group was provided with error correction in tenses. the unfocus...

In this paper, a novel method is developed for designing the output feedback controller for Static Synchronous Series Compensator (SSSC). In the proposed method, the problem of selecting the output feedback gains for the SSSC controllers is changed into an optimization problem with a time domain-based objective function.Then, it is solved by using the particle swarm optimization (PSO) algorithm...

Due to the actual demographic development the use of Computer-Assisted Diagnosis (CAD) systems becomes a more important part of clinical workflows and clinical decision making. Because changes on the mucosa of the esophagus can indicate the first stage of cancerous developments, there is a large interest to detect and correctly diagnose any such lesion. We present a knowledge-based system which...

Automated troubleshooting using design information has been the goal of substantial research in recent years. A number of model-based approaches have been proposed, but have typically been applied to examples limited in size and/or complexity. Systems containing feedback loops are panicularly troublesome. In this work, the approach developed by de Kleer/Williams has been extended to diagnose st...

Content-based image retrieval has become one of the most active research areas in the past few years. In this paper various methodologies used in the research area of Content Based Image Retrieval techniques using Relevance Feedback are discussed. The comparison and analysis of these methods is done. Relevance feedback techniques were incorporated into Content-based image retrieval for obtainin...

In this paper, we have introduced an agent based e-commerce system which recommends products to buyers as per their preferences. Initially, the agent collects the buyers’ preferences in fuzzy or linguistically defined terms and based on this, presents them an ordered set of products. After obtaining the buyers’ feedbacks when they actually come across the products, the seller’s agent interacts ...

Autonomic computing aims at producing software systems that can manage themselves. As component-based development also partly addresses the complexity of large applications, we propose to combine the benefits of both approaches by using components equipped with negotiable contracts. These contracts specify the correct behavior of the components and play a central role in feedback control loops ...

This paper presents a content-based image retrieval system for aggregation and combination of different image features. Feature aggregation is important technique in general content-based image retrieval systems that employ multiple visual features to characterize image content. We introduced and evaluated linear combination to fuse different features. The most important step in the feature agg...