The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The Quran is a script consisting of 114 Surah. The Quran is known to have positive effects on human, aids the stress healing process. Each Surah is provided for a different understanding and meaning of its own. This paper investigates the subject's reaction towards listening to two different Surahs. The electroencephalogram (EEG) machine was used to observe and record the subject brain activity. By...
The concept of pairing confidential-relevant variables (connected variables) using ridge regression and bootstrap sampling has recently been proposed for developing perturbation models to data privacy in cyber-physical systems. In this approach, a single set of perturbation parameters for all the pairs of connected variables has been used to achieve trade-off between data confidentiality and classification...
Data mining involves discovering interesting patterns from large dataset to maximize the profit of the future business. Association rule mining is the main area in the field of data mining exploration with wide range of applications. Determining the frequent item-sets in large dataset is the core task of association rule mining and it is frequently used by business decision makers to improve their...
Recent advances in signal processing for the detection of Steady-State Visual Evoked Potentials (SSVEPs) have moved away from traditionally calibrationless methods, such as canonical correlation analysis, and towards algorithms that require substantial training data. In general, this has improved detection rates, but SSVEP-based brain-computer interfaces (BCIs) now suffer from the requirement of costly...
It is an important measure for China to implement the strategy of major functional area (MFA) to promote the optimization and upgrading of the industry and the development of regional integration. In order to study spatial correlation structure between optimization development zone and key development zone, the paper chooses Beijing-Tianjin-Hebei Metropolitan Region (BTHMR) and Ha-Chang City Group...
In recent years, several studies have shown that there is a correlation between electroencephalographic (EEG) signals and hand-reaching kinematic parameters after applying linear decoders. These studies have been generally conducted using actual upper limb movements, but so far there has been little discussion about the possibility of applying these decoders to motor imagery tasks. Moreover, the use...
Even in a case of a simple failure, modern process control systems can cause a vast number of alarms. Due to the overload of the operators these alarm floods may result in tragedical accidents. Alarm management systems can suppress correlated and predictable alarms to reduce the workload of the operators. Since the process units of complex production systems are strongly interconnected, the signals...
Driving behaviour prediction is a challenging problem due to the nonlinearity of human behaviour. Linear and nonlinear techniques have been used to solve this problem, and they provide good results presented in the performance of the current autonomous cars. However, they lack the ability to adapt to abruptness that happens because of the human factor. In this paper, we introduce a method to extract...
Information overload is one of the most important problems in context of personalized document retrieval systems. In this paper we propose to use ontology-based user profile. Ontological structures are appropriate to represent relations between concepts in user profile. We present a method for determining user profile based on his current activities. Results obtained in experimental evaluation are...
Nowadays, owing to the growth of quantity of data, the data mining techniques have been required on web exceedingly for extracting information from the data. Classification of text in data mining is very important and has been a hot issue on the topic. Especially, ontological taxonomy classification is important for more intelligent information reasoning. As it relates to data distribution of classes...
Cross section area (CSA) of spinal canal has been an important indicator for lumbar spinal stenosis (LSS), which remains the leading preoperative diagnosis for adults older than 65 years. Until recently, the machine learning algorithms had been investigated in [5–7] for an automatic classification system. The automatic classification system exploited the luminance of cerebrospinal fluid (CSF) as the...
Error-related potentials (ErrP) have been increasingly studied in psychophysical experiments as well as for brain-machine interfacing. In the latter case, the generalisation capabilities of ErrP decoders is a crucial element to avoid frequent recalibration processes, thus increasing their usability. Previous studies have suggested that ErrP signals are rather stable across recording sessions. Also,...
Motion data is quickly expanding its application scope, following the recent advancements in smart sensing technology. In particular, it has been shown to be helpful for objective measurement and assessment of surgical dexterity among users at different levels of training. The goal is to allow trainees to evaluate their performance based on a reference set of hand movements. Similar to other multimedia...
Object tracking is an important task within the field of computer vision. Object tracking methodology is divided into three categories: point-, kernel-; and silhouette-based tracking. Recently, a correlation-based kernel tracking has been used in object tracking with high accuracy and performance. However, the correlation-based approach heavily relies on luminance information, thus it has many problems...
This study proposes a new system for learners to master double-under skill. In terms of proposing methodology, it assumes four training phases. First and second phases deal with the primitive motion training but the latter two phases do their combination. This paper focuses mainly on the third one that treats combination of primitive dyad of the former phases without a rope instrument. The prototype...
This paper presents novel video feature-based favorite video estimation method. In the proposed method, we use three features, videos, users' viewing behavior and users' evaluation scores for these videos. In order to calculate the novel video features, Multiset Canonical Correlations Analysis (MCCA) is applied to these features to integrate the different types of features. Specifically, MCCA maximizes...
When SSDs are used for in-situ execution of data-intensive scientific workflows, it is challenging to obtain consistently high I/O throughput because its I/O efficiency can be compromised for serving write and read requests simultaneously. This issue is so-called write-read interference. In this paper, we propose a novel scheme named FlashStager, which can isolate writes from reads using write redirection...
In this paper, we contribute to a self-adaptive approach, namely interaction-awareness which adopts self-aware principles to dynamically manage and maintain the knowledge on the interactions between volunteer services in the volunteer computing paradigm. Such knowledge can inform the adaptation decisions, leading to increase in the precision of selecting and composing services. We evaluate the approaches...
Motivated by applications of distributed storage systems to key-value stores, recently, the multi-version coding problem was proposed to store data that is frequently being updated in a distributed storage system. In particular, in multi-version coding, it is desired to store the data consistently, that is, even if all servers do not receive the data updates simultaneously, the decoder can recover...
Cache-aided coded multicast leverages side information at wireless edge caches to efficiently serve multiple groupcast demands via common multicast transmissions, leading to load reductions that are proportional to the aggregate cache size. However, the increasingly unpredictable and personalized nature of the content that users consume challenges the efficiency of existing caching-based solutions...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.