nils-herrmann/clean_scirepeval huggingface dataset:
Improving adaptive feedback cancellation in hearing aids using an affine combination of filters
Venue: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

In adaptive feedback cancellation an adaptive filter is used to model the acoustic feedback path between the hearing aid loudspeaker and the microphone. An important parameter for adaptive filters is the step size, providing a trade off between fast convergence and low steady state misalignment. In order to achieve both fast convergence as well as low steady state misalignment, it has been proposed to use an affine combination scheme of two filters operating with different step sizes. In this paper we apply such an affine combination scheme to the acoustic feedback cancellation problem in hearing aids. We show that for speech signals a time domain affine combination scheme yields a biased solution. To reduce this bias we propose to use a partitioned block frequency domain affine combination scheme. Experimental results using measured acoustic feedback paths show that in terms of misalignment and added stable gain the proposed adaptive feedback cancellation system outperforms a system that only uses a single adaptive filter with either of the fixed step sizes used for the affine combination scheme.
Social Disparities in Exposure to Point of Sale Cigarette Marketing
Venue: International journal of environmental research and public health

While most ecological studies have shown that higher levels of point of sale (POS) cigarette marketing are associated with larger proportions of residents from lower socioeconomic and minority backgrounds in neighborhoods, there are no studies that examine individual level social disparities in exposure to POS cigarette marketing among smokers in the United States. Our aim was to examine these disparities in a Midwestern metropolitan area in the United States. We conducted a telephone survey to collect data on 999 smokers. Cigarette marketing was measured by asking respondents three questions about noticing advertisements, promotions, and displays of cigarettes within their respective neighborhoods. The questions were combined to create a summated scale. We estimated ordered logistic regression models to examine the association of sociodemographic variables with exposure to POS cigarette marketing. Adjusted results showed that having a lower income (p 0.003) and belonging to a race/ethnicity other than "non Hispanic White" (p 0.011) were associated with higher levels of exposure to POS cigarette marketing. The results highlight social disparities in exposure to POS cigarette marketing in the United States, which can potentially be eliminated by banning all forms of cigarette marketing.
MULTI CRITERIA DECISION MAKING FOR SELECTING SEMANTIC WEB SERVICE CONSIDERING VARIABILITY AND COMPLEXITY TRADE OFF

Business process decomposition helps to focus on the base business process rather than the whole business processes with a higher complexity. Variability of business process decomposition taken into a different complexity level within common business process. By considering business process variability and complexity trade off, we selected the best solution for semantic web service alternatives with different service quality. The selected web service should be fulfilled most of service quality capability defined in user's preferences. For our case study we had chosen the Penerimaan Peserta Didik Baru, an online student submission system consists the registration procedure for multi degree of school, multi selection (regular, inclusion, pre welfare) and multi phase for every educational level. The base process is selected from four basic models, and we identified the variant models that representing the behavior of all possible requirements. In this paper, semantic service selection is used by discovering semantic web services through their service registry. Web services was annotated with its business process formalization and quality attributes. However, the variability and complexity in business process decomposition are contradictory, thus, constitute a trade off. We interpreted it as the multi criteria decision problem and proposed Fuzzy AHP+TOPSIS method to bring the best optimum solution that reflect the needs and preferences of the decision maker. This approach proved to solve the multi criteria decision problem for selecting the best options of semantic web services considering the trade off among variability and complexity of business process. In our study, we had tested 153 service requests and gained a precision of 91.3% and a recall or sensitivity of 89.4% that result the harmonic mean of precision and recall of 0.903. Our approach is success to deliver the most preferred number of business process variant with minimum complexity level in accordance with the acceptable service quality (service cost, capacity, and latency) delivered by service providers.
Semantic processing of actions at 9months is linked to language proficiency at 9 and 18months.
Venue: Journal of experimental child psychology

The current study uses event related potential methodologies to investigate how social cognitive processes in preverbal infants relate to language performance. We assessed 9 month olds' understanding of the semantic structure of actions via an N400 event related potential (ERP) response to action sequences that contained expected and unexpected outcomes. At 9 and 18months of age, infants' language abilities were measured using the Swedish Early Communicative Development Inventory (SECDI) Here we show that 9 month olds' understanding of the semantic structure of actions, evidenced in an N400 ERP response to action sequences with unexpected outcomes, is related to language comprehension scores at 9months and is related to language production scores at 18months of age. Infants who showed a selective N400 response to unexpected action outcomes are those who are classed as above mean in their language proficiency. The results provide evidence that language performance is related to the ability to detect and interpret human actions at 9months of age. This study suggests that some basic cognitive mechanisms are involved in the processing of sequential events that are shared between two conceptually different cognitive domains and that pre linguistic social understanding skills and language proficiency are linked to one another.
On the Conventionalization of Mouth Actions in Australian Sign Language
Venue: Language and speech

This study investigates the conventionalization of mouth actions in Australian Sign Language. Signed languages were once thought of as simply manual languages because the hands produce the signs which individually and in groups are the symbolic units most easily equated with the words, phrases and clauses of spoken languages. However, it has long been acknowledged that non manual activity, such as movements of the body, head and the face play a very important role. In this context, mouth actions that occur while communicating in signed languages have posed a number of questions for linguists: are the silent mouthings of spoken language words simply borrowings from the respective majority community spoken language(s) Are those mouth actions that are not silent mouthings of spoken words conventionalized linguistic units proper to each signed language, culturally linked semi conventional gestural units shared by signers with members of the majority speaking community, or even gestures and expressions common to all humans? We use a corpus based approach to gather evidence of the extent of the use of mouth actions in naturalistic Australian Sign Language making comparisons with other signed languages where data is available and the form/meaning pairings that these mouth actions instantiate.
A qualitative study exploring how the aims, language and actions of yoga for pregnancy teachers may impact upon women's self efficacy for labour and birth.
Venue: Women and birth journal of the Australian College of Midwives

As women's anxiety and the rate of medical intervention in labour and birth continue to increase, it is important to identify how antenatal education can increase women's confidence and their ability to manage the intense sensations of labour.  To report a grounded theory study of how the aims, language and actions of yoga for pregnancy teachers may impact upon women's self efficacy for labour and birth.  Yoga for pregnancy classes in three locations were filmed. Semi structured interviews were undertaken with the teachers to explore what they were trying to achieve in their classes, and how. Interviews and classes were transcribed and analysed using grounded theory.  There was considerable consistency in the teachers' aims, the language they used in classes and in their thinking about class structure. Four main themes emerged: creating a sisterhood, modelling labour, building confidence and enhancing learning. Teachers see yoga for pregnancy as a multi faceted, non prescriptive intervention that enhances women's physical, emotional and social readiness for labour and birth, and supports women to make their own decisions across the transition to parenthood.  Women's self efficacy for labour is complex and multi factorial. This study offers insights into the factors which may be involved in increasing it. These include not only traditional elements of yoga such as postures, breathing and meditation, but also the creation of safe, women only groups where anxieties, experiences and stories can be shared, and pain coping techniques for labour learned and practised.
Analysis of Benefits, Advantages and Challenges of Building Information Modelling in Construction Industry

Building Information Modelling (BIM) has become a well known established extensive collaborative process and an important area of development in the Architecture, Engineering and Construction (AEC) industry and has transcended all disciplines. The use of BIM in construction projects can possibly increase the information quality needed for making critical design decisions to access a building's environmental impact. Analysis, design and infrastructure of buildings are formulated with the help of samples generated from BIM. In the last decade, BIM has witnessed an increasing development. This was a result of their rapid capabilities applicable to construction projects. BIM can generate a common language for all divisions of parties and systems in a project and make them a combined team. The BIM method is strongly matched with delivery systems for integrated projects. Harnessing the unrealized possibility of the full life cycle use of the model by integrating it with the amenities and property management phases of buildings and infrastructure is one of the advantages of BIM which makes it suitable to the industry. This analysis is intended to show the correspondence of BIM and project manager's roles on construction projects. It insists on the significance of proper knowledge and experience of project managers to get succeeded in BIM. Initially, this review presents an in depth analysis of present literature frameworks and surrounding methodologies to assess and examine the BIM advantages and static design. Then 3D, 4D BIM and BIM based scheduling techniques are examined. The use of the term 4D to refer to the fourth dimension time is also discussed. i.e. 4D is 3D schedule (time) The role of 4D BIM is to add a novel dimension to 3D CAD or solid modelling. The paper also reviews the issues regarding the BIM implementation, static design and intrinsic problems related with an attempt to assess the advantages in a purely quantitative fashion. Through the application of BIM technology for the dynamic querying and statistical investigation of construction schedules, engineering, resources and costs are the three implementations considered to be proved as how BIM can ease the extensive grasp of a project's implementation and progress. Recognition, conflict solving, contradictions between construction resources and control costs, decreasing project over spends and protecting the resource supply are also dealt with. A BIM overview with specifications on its core and cycle concepts, benefits of the project life with the help of surveys has been discussed. The paper also elaborates risks and obstacles in BIM implementation and future BIM trends.
Exploring New Directions for the Transformation of the Built Environment in Nigeria: The Role of Building Information Modeling

Building Information Modelling (BIM) offers an alternative and better method of handling information for integrated project delivery approach to that of the traditional fragmented method of collaboration in the built environment. This paper is aimed at assessing the awareness and the prospects of adopting BIM in the professional Architectural practices in Nigeria using Akure as a case study. The rate of urbanisation and transformation of the built environment in the face of globalisation, calls for a new direction in the processing and handling of building information. This is particularly necessary as the current business model is inadequate for maximum productivity. The field investigation focused on determining the current business model of selected Architectural practice as well as assessing their awareness of Building Information Modelling and whether or not professionals are going to adopt it soon. The findings showed that the method of collaboration among professionals remain fragmented, the use of 3D software and even BIM software is limited to just 3D visualization and plan details. The study revealed that despite a good number of respondents already conscious of the benefit of using a BIM tool; their overall approach to project delivery remains fragmented. Awareness of the concept of BIM was a little above average among respondents but BIM implementation in professional practice is very low. It was discovered that challenges faced by respondents in the adoption of BIM is predicated on the attitudinal disposition of other professionals with whom they work and exchange building information with. These professionals do not work with BIM and coupled with inadequate knowledge of staff in the adoption of BIM workflow. The paper concluded that Building Information Modelling (BIM) has greater advantage than the existing traditional practice involving 2D drafting. BIM also has the inherent ability to foster integrated project delivery by creating a common platform for all professionals to work simultaneously on a project thereby minimising costly design and construction errors.  Architectural practices, Building Information Modelling (BIM) collaboration, construction, urban transformations.
The Practice Of Everyday Life

Thank you very much for downloading the practice of everyday life. Maybe you have knowledge that, people have look hundreds times for their chosen novels like this the practice of everyday life, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some malicious bugs inside their desktop computer. the practice of everyday life is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the the practice of everyday life is universally compatible with any devices to read.
Single Event Transients and Pulse Quenching Effects in Bandgap Reference Topologies for Space Applications
Venue: IEEE Transactions on Nuclear Science

An architectural performance comparison of bandgap voltage reference variants, designed in a 0.18 mm CMOS process, is performed with respect to single event transients. These are commonly induced in microelectronics in the space radiation environment. Heavy ion tests (Silicon, Krypton, Xenon) are used to explore the analog single event transients and have revealed pulse quenching mechanisms in analogue circuits. The different topologies are compared, in terms of cross section, pulse duration and pulse amplitude. The measured results, and the explanations behind the findings, reveal important guidelines for designing analog integrated circuits, which are intended for space applications. The paper includes an analysis on how pulse quenching occurs within the indispensable current mirror, which is used in every analog circuit.
Smart Grids: A Cyber Physical Systems Perspective
Venue: Proceedings of the IEEE

Smart grids are electric networks that employ advanced monitoring, control, and communication technologies to deliver reliable and secure energy supply, enhance operation efficiency for generators and distributors, and provide flexible choices for prosumers. Smart grids are a combination of complex physical network systems and cyber systems that face many technological challenges. In this paper, we will first present an overview of these challenges in the context of cyber physical systems. We will then outline potential contributions that cyber physical systems can make to smart grids, as well as the challenges that smart grids present to cyber physical systems. Finally, implications of current technological advances to smart grids are outlined.
Incomplete Multi view Clustering
Venue: Intelligent Information Processing

Real data often consists of multiple views (or representations) By exploiting complementary and consensus grouping information of multiple views, multi view clustering becomes a successful practice for boosting clustering accuracy in the past decades. Recently, researchers have begun paying attention to the problem of incomplete view. Generally, they assume at least there is one complete view or only focus on two view problems. However, above assumption is often broken in real tasks. In this work, we propose an IVC algorithm for clustering with more than two incomplete views. Compared with existing works, our proposed algorithm (1) does not require any view to be complete, (2) does not limit the number of incomplete views, and (3) can handle similarity data as well as feature data. The proposed algorithm is based on the spectral graph theory and the kernel alignment principle. By aligning projections of individual views with the projection integration of all views, IVC exchanges the complementary grouping information of incomplete views. Consequently, projections of individual views are made complete and thereby resulting the consensus with accurate grouping information. Experiments on synthetic and real datasets demonstrate the effectiveness of IVC.
Multi source Multi view Clustering via discrepancy penalty
Venue: 2016 International Joint Conference on Neural Networks (IJCNN)

With the advance of technology, entities can be observed in multiple views. Multiple views containing different types of features can be used for clustering. Although multi view clustering has been successfully applied in many applications, the previous methods usually assume the complete instance mapping between different views. In many real world applications, information can be gathered from multiple sources, while each source can contain multiple views, which are more cohesive for learning. The views under the same source are usually fully mapped, but they can be very heterogeneous. Moreover, the mappings between different sources are usually incomplete and partially observed, which makes it more difficult to integrate all the views across different sources. In this paper, we propose MMC (Multi source Multi view Clustering) which is a framework based on collective spectral clustering with a discrepancy penalty across sources, to tackle these challenges. MMC has several advantages compared with other existing methods. First, MMC can deal with incomplete mapping between sources. Second, it considers the disagreements across sources while treating views in the same source as a cohesive set. Third, MMC also tries to infer the instance similarities across sources to enhance the clustering performance. Extensive experiments conducted on real world data demonstrate the effectiveness of the proposed approach.
Learning Social Circles in Ego Networks based on Multi View Social Graphs
Venue: ArXiv

Automatic social circle detection in ego networks is becoming a fundamentally important task for social network analysis, which can be used for privacy protection or interest group recommendation. So far, most studies focused on how to detect overlapping circles or how to perform detection using both network structure and its node profiles. This paper asks an orthogonal research question: how to detect social circles by leveraging the multiple views of the network structure? As a first step, we crawl ego networks from Twitter to construct multi view social graphs with six views, including two relationship views, three interaction views and one content view. Then, we apply both standard and our modified multi view spectral clustering methods on the graph to detect circles. Based on extensive automatic and manual evaluations, we deliver two major findings: first, multi view clustering methods detect better circles than single view clustering methods; second, by presuming the sparse social graphs are incomplete, our modified method detects better circles than the standard method that ignores such potential incompleteness. In particular, we believe a direct application of the standard method on a possibly incomplete graph may yield a biased result. By integrating theories from spectral clustering and matrix perturbation, we prove an information theoretic upper bound for such bias and discuss how it may be affected by the characteristics of the social network.
Personality Type Assessment System by using Enneagram Graphology Techniques on Digital Handwriting

This research was conducted with the aim of developing previous studies that have successfully applied the science of graphology to analyze digital handwriting and characteristics of his personality through shape based feature extraction, which in the present study will be applied one method of psychological tests commonly used by psychologists to recognize human's personality that is Enneagram. The Enneagram method in principle will classify the personality traits of a person into nine types through a series of questions, which then calculated the amount of the overall weight of the answer. Thickness is what will provide direction personality type, which will then be matched with the personality type of the result of the graphology analysis of the handwriting. Personality type of handwritten analysis results is processed based on the personality traits that are the result of the identification of a combination of four dominant form of handwriting through the software output of previous studies, that Slant (tilt writing) Size (font size) Baseline, and Breaks (respite each word) From the results of this research can be found there is a correlation between personality analysis based on the psychology science to the graphology science, which results matching personality types by 81.6% of 49 respondents data who successfully tested. General Terms Pattern Recognition, Handwritten Analysis.