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Although numerous loop optimization techniques have been designed and deployed in commercial compilers in the past, virtually no common experimental infrastructure nor repository exists to help the compiler community evaluate the effectiveness of these techniques. This paper describes a repository, LORE, that maintains a large number of C language for loop nests extracted from popular benchmarks,...
Software systems with quality of service (QoS), such as database management systems and web servers, are ubiquitous. Such systems must meet strict performance requirements. Instrumentation is a useful technique for the analysis and debugging of QoS systems. Dynamic binary instrumentation (DBI) extracts runtime information to comprehend system's behavior and detect performance bottlenecks. However,...
The work considers the mathematical aspects of one of the most fundamental problems of data analysis: search (choice) among a collection of objects for a subset of similar ones. In particular, the problem appears in connection with data editing and cleaning (removal of irrelevant (not similar) elements). We consider the model of this problem, i.e., the problem of searching for a subset of largest...
Surgical workflow modeling is becoming increasingly useful to train surgical residents for complex surgical procedures. Rule-based surgical workflows have shown to be useful to create context-aware systems. However, manually constructing production rules is a time-intensive and laborious task. With the expansion of new technologies, large video archive can be created and annotated exploiting and storing...
describes an approach to extend ETL tools to analyze data from multiple data sources. This approach allows us to plug in data sources dynamically which leads to the reduction of network traffic as well as costs for data requests. An example of this approach is implemented with an ETL tool called Pentaho Data Integration.
This paper presents an approach for non-intrusively instrumenting standards-based event-based middle-ware. The approach has been realized in an open-source tool called Component Port Monitor (CPM). CPM uses dynamic binary instrumentation as a means to monitor events published between software components. This allows CPM to operate in contexts without any a priori knowledge of the concrete events in...
The majority of proposed behavioral biometric systems on smartphones are unimodal based, which rely only on a single source of information such as gesture or keystrokes. Unfortunately, these systems are suffering from some problems such as noisy data and non-universality. Moreover, they provide lower authentication accuracy in compare with the physiological biometrics such as Face. To address these...
Electromagnetic compatibility techniques and requirements for instruments measuring quasi-peak, peak, rms, and average values for electrical and electronic equipment for various applications are provided in this standard.
Network administration is conveyed in this social insurance extend. In the present venture, client indications have been regarded as and the specialists who can work on the predetermined manifestations or illnesses are distinguished. The recognized specialists alongside their areas have been discovered in a semantic manner also it is being offered reverse for the client. At this time, the manifestations...
Epilepsy is one of the common neurological disorders affecting the quality of life of patient and their families by making them panic about the forthcoming future seizure events and their effects in daily life. The recent seizure prediction studies showed that some prediction results are in, short and long duration EEG data, but still there is a need for developing a better, reliable seizure prediction...
Many people enjoy classical symphonic music. Its diverse instrumentation makes for a rich listening experience. This diversity adds to conductors' expressive freedom to shape the sound according to their imagination. As a result, the same piece can sound quite different from one conductor to another. Differences in interpretation might be noticeable to listeners, but they are sometimes hard to pinpoint,...
Due to the increased market competition increased data management and analysis has landed as in an era that requires further optimization data management and analysis. Big data technologies like apache HADOOP provide a frame work for parallel data processing and generation of analyzed results. MAPREDUCE method is used for analysis of data using various data analysis algorithms like clustering, fragmentation...
This paper introduces three interpolation methods that enrich complex evolving region trajectories that are captured every day from numerous ground-based and space-based solar observatories. The interpolation module takes a trajectory as its input and generates an enriched trajectory with interpolated time-geometry pairs. we created three different interpolation techniques that are: MBR-Interpolation...
Bipolar magnetic regions (BMRs) are the corner-stone of solar variability. They are tracers of the large-scale magnetic processes that give rise to the solar cycle, shapers of the solar corona, building blocks of the large-scale solar magnetic field, and significant contributors to the free-energetic budget that gives rise to flares and coronal mass ejections. Surprisingly, no homogeneous catalog...
Continuous Improvement is an essential element in any quality or accreditation process within academia or even industry. To address shortcomings in the attainment of Course Learning Outcomes (CLO's), it is often necessary to suggest Remedial Actions that vary depending on the domain of the CLO. In fact, taking a non-effective action can result in a waste of time for instructors and students missing...
While tasks such as segmenting images or determining the sentiment expressed in a sentence can be assigned to regular users, some others require background knowledge and thus, the selection of expert users. In the case of energy datasets, acquiring data represents an obstacle to develop data-driven methods, due to prohibitive monetary and time costs linked to the instrumentation of households in order...
Pattern-based methods of IS-A relation extraction rely heavily on so called Hearst patterns. These are ways of expressing instance enumerations of a class in natural language. While these lexico-syntactic patterns prove quite useful, they may not capture all taxonomical relations expressed in text. Therefore in this paper we describe a novel method of IS-A relation extraction from patterns, which...
This study reports the factor analysis of Statics Concept Inventory (SCI) data collected from 95 practicing civil engineers in the Pacific Northwest. In comparison to students' responses reported from previous studies, the analysis of the engineers' data yielded a different number of underlying latent traits and different loading patterns of the SCI items on each trait. The study revealed that engineers'...
It is important for students to solve problems with specific requirements in the programming teaching. Our teaching system is a Moodle-based interactive teaching platform for C programming. Its online judging system can grade students code automatically. It plays an extremely important role in programming language teaching. This paper is devoted to optimizing and improving the system. We firstly analyze...
Rough set theory is a present day scientific way to deal with imperfect information. Rough sets have been prescribed for a wide assortment of uses. Unequivocally, the rough set methodology is by all accounts basic and critical for Artificial Intelligence and subjective sciences, especially in data mining, knowledge discovery, machine learning, expert systems and pattern acknowledgment. In this paper,...
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