bluuebunny/crossref_metadata_2025_split huggingface dataset:
Building Information Modeling BIM - Level of Digital Construction
Authors: Glema A. 
Published: January 2018

Abstract In the paper the topic of Building Information Technology BIM is investigated. It is new in Polish circumstances technology for construction and for building product industry, which contribute to change and develop level of industrialization. Especially challenge raising from the information and introducing IT technology into daily practice is considered to provide changes in construction branch of economy. In Poland there is the hot need of start to introduce BIM as the common technology for owners of assets, facility management, construction entities, design offices, administration officers and many other players relative to construction data and processes. BIM technology introduction, basing on foreign case studies, results in cost savings, control and time reduction of investment processes and some more advantages. The perspective of digital buildings, digital infrastructure, digital roads, digital railways and digital cities is outlined at the perspective of technology challenge, but simply transfiguration of many fields of personal everyday life, where digitalization is already present and with the question when it will be common in professional activity, particularly in civil engineering.
Methods for mining co–location patterns with extended spatial objects
Authors: Bembenik Robert , Jóźwicki Wiktor , Protaziuk Grzegorz 
Published: January 2018

Abstract
The paper discusses various approaches to mining co-location patterns with extended spatial objects. We focus on the properties of transaction-free approaches EXCOM and DEOSP, and discuss the differences between the method using a buffer and that employing clustering and triangulation. These theoretical differences between the two methods are verified experimentally. In the performed tests three different implementations of EXCOMare compared with DEOSP, highlighting the advantages and downsides of both approaches.
On the predictive power of meta-features in OpenML
Authors: Bilalli Besim , Abelló Alberto , Aluja-Banet Tomàs 
Published: January 2018

Abstract
The demand for performing data analysis is steadily rising. As a consequence, people of different profiles (i.e., nonexperienced users) have started to analyze their data. However, this is challenging for them. A key step that poses difficulties and determines the success of the analysis is data mining (model/algorithm selection problem). Meta-learning is a technique used for assisting non-expert users in this step. The effectiveness of meta-learning is, however, largely dependent on the description/characterization of datasets (i.e., meta-features used for meta-learning). There is a need for improving the effectiveness of meta-learning by identifying and designing more predictive meta-features. In this work, we use a method from exploratory factor analysis to study the predictive power of different meta-features collected in OpenML, which is a collaborative machine learning platform that is designed to store and organize meta-data about datasets, data mining algorithms, models and their evaluations. We first use the method to extract latent features, which are abstract concepts that group together meta-features with common characteristics. Then, we study and visualize the relationship of the latent features with three different performance measures of four classification algorithms on hundreds of datasets available in OpenML, and we select the latent features with the highest predictive power. Finally, we use the selected latent features to perform meta-learning and we show that our method improves the meta-learning process. Furthermore, we design an easy to use application for retrieving different meta-data from OpenML as the biggest source of data in this domain.
Efficient storage, retrieval and analysis of poker hands: An adaptive data framework
Authors: Gorawski Marcin , Lorek Michal 
Published: January 2018

Abstract
In online gambling, poker hands are one of the most popular and fundamental units of the game state and can be considered objects comprising all the events that pertain to the single hand played. In a situation where tens of millions of poker hands are produced daily and need to be stored and analysed quickly, the use of relational databases no longer provides high scalability and performance stability. The purpose of this paper is to present an efficient way of storing and retrieving poker hands in a big data environment. We propose a new, read-optimised storage model that offers significant data access improvements over traditional database systems as well as the existing Hadoop file formats such as ORC, RCFile or SequenceFile. Through index-oriented partition elimination, our file format allows reducing the number of file splits that needs to be accessed, and improves query response time up to three orders of magnitude in comparison with other approaches. In addition, our file format supports a range of new indexing structures to facilitate fast row retrieval at a split level. Both index types operate independently of the Hive execution context and allow other big data computational frameworks such as MapReduce or Spark to benefit from the optimized data access path to the hand information. Moreover, we present a detailed analysis of our storage model and its supporting index structures, and how they are organised in the overall data framework. We also describe in detail how predicate based expression trees are used to build effective file-level execution plans. Our experimental tests conducted on a production cluster, holding nearly 40 billion hands which span over 4000 partitions, show that multi-way partition pruning outperforms other existing file formats, resulting in faster query execution times and better cluster utilisation.
An active fault-tolerant control framework against actuator stuck failures under input saturations
Authors: Qi Xin , Theilliol Didier , He Yuqing , Han Jianda 
Published: January 2018

Abstract
In this paper, a control framework including active fault-tolerant control (FTC) and reference redesign is developed subject to actuator stuck failures under input saturations. FTC synthesis and reference redesign approaches are proposed to guarantee post-fault system safety and reference reachability. Then, these features are analyzed under both actuator stuck failures and constraints before fault-tolerant controller switches. As the main contribution, actuator stuck failures and constraints are unified so that they can be easily considered simultaneously. By means of transforming stuck failures into actuator constraints, the post-fault system can be regarded as an equivalent system with only asymmetrical actuator constraints. Thus, methods against actuator saturations can be used to guarantee regional stability and produce the stability region. Based on this region, stuck compensation is analyzed. Specifically, an unstable open-loop system is considered, which is more challenging. Furthermore, the method is extended to a set-point tracking problem where the reachability of the original reference can be evaluated. Then, a new optimal reference will be computed for the post-fault system if the original one is unreachable. Finally, simulation examples are shown to illustrate the theoretical results.
Regulation control of an underactuated mechanical system with discontinuous friction and backlash
Authors: Rascón Raúl , Rosas David , Hernandez-Balbuena Daniel 
Published: January 2018

AbstractIn this work, the problem of position regulation control is addressed for a 2DOF underactuated mechanical system with friction and backlash. For this purpose, a method combining sliding mode and H∞control is developed. We prove that the application of the method to the nonlinear model considered results in an asymptotically stable equilibria set. Moreover, it is possible to achieve a sufficiently small and bounded steady-state position error even in the presence of disturbances by employing the proposed technique. That is, the developed controller is able to account not only for unmatched external perturbations and model discrepancies of the test rig considered, but also for matched bounded perturbations. The control methodology is presented from both the theoretical and experimental angles to demonstrate the good performance of the proposed controller.
A hierarchical inferential method for indoor scene classification
Authors: Jiang Jingzhe , Liu Peng , Ye Zhipeng , Zhao Wei , Tang Xianglong 
Published: January 2018

AbstractIndoor scene classification forms a basis for scene interaction for service robots. The task is challenging because the layout and decoration of a scene vary considerably. Previous studies on knowledge-based methods commonly ignore the importance of visual attributes when constructing the knowledge base. These shortcomings restrict the performance of classification. The structure of a semantic hierarchy was proposed to describe similarities of different parts of scenes in a fine-grained way. Besides the commonly used semantic features, visual attributes were also introduced to construct the knowledge base. Inspired by the processes of human cognition and the characteristics of indoor scenes, we proposed an inferential framework based on the Markov logic network. The framework is evaluated on a popular indoor scene dataset, and the experimental results demonstrate its effectiveness.
Negotiating transfer pricing using the Nash bargaining solution
Authors: Clempner Julio B. , Poznyak Alexander S. 
Published: January 2018

Abstract
This paper analyzes and proposes a solution to the transfer pricing problem from the point of view of the Nash bargaining game theory approach. We consider a firm consisting of several divisions with sequential transfers, in which central management provides a transfer price decision that enables maximization of operating profits. Price transferring between divisions is negotiable throughout the bargaining approach. Initially, we consider a disagreement point (status quo) between the divisions of the firm, which plays the role of a deterrent. We propose a framework and a method based on the Nash equilibrium approach for computing the disagreement point. Then, we introduce a bargaining solution, which is a single-valued function that selects an outcome from the feasible pay-offs for each bargaining problem that is a result of cooperation of the divisions of the firm involved in the transfer pricing problem. The agreement reached by the divisions in the game is the most preferred alternative within the set of feasible outcomes, which produces a profit-maximizing allocation of the transfer price between divisions. For computing the bargaining solution, we propose an optimization method. An example illustrating the usefulness of the method is presented.
Further results on color energy of graphs
Authors: Joshi Prajakta Bharat , Joseph Mayamma 
Published: January 2018

AbstractGiven a colored graph G, its color energy Ec(G) is defined as the sum of the absolute values of the eigenvalues of the color matrix of G. The concept of color energy was introduced by Adiga et al. [1]. In this article, we obtain some new bounds for the color energy of graphs and establish relationship between color energy Ec(G) and energy E(G) of a graph G. Further, we construct some new families of graphs in which one is non-co-spectral color-equienergetic with some families of graphs and another is color-hyperenergetic. Also we derive explicit formulas for their color energies.
Necessity and complexity of order picking routing optimisation based on pallet loading features
Authors: Bódis Tamás , Botzheim János , Földesi Péter 
Published: January 2018

Abstract
Order picking is the most labour-intensive and costly activity of warehouses. The main challenges of its improvement are the synchronisation of warehouse layout, storage assignment policy, routing, zoning, and batching. Furthermore, the competitiveness of the warehouse depends on how it adapts to the unique customer demands and product parameters and the changes. The operators usually have to manage the picking sequence based on best practices taking into consideration the product stacking factors and minimising the lead time. It is usually necessary to support the operators by making e ective decisions. Researchers of the pallet loading problem, bin packing problem, and order picking optimisation provide a wide horizon of solutions but their results are rarely synchronised.
The Institutional Tools of Integrated Landscape Management in Slovakia for Mitigation of Climate Change and Other Natural Disasters
Authors: Miklós László , Izakovičová Zita , Offertálerová Monika , Miklósová Viktória 
Published: January 2018

Abstract
The most frequent natural disasters in Slovakia are related to climatic events, in particular to the sudden intensive rains, quick run-off and unbalanced water regime. They induce soil erosion and accumulation, flash floods, landslides, overwhelming waterlogging and also draught. Since these events have an impact throughout the whole landscape - the forest, agricultural and urban landscape, which are under the management of different sectors, the integration of the sectoral planning tools for the mitigation of their consequences is inevitable. Integration is a difficult process of dual character: it requires the development of landscape-ecological methods applicable to land management tools on one side and the creation of legal provisions ensuring the transfer of those scientific principles to legislation, on the other side. This paper deals with both sides of this process in Slovakia.
Accessibility of Local Food Production to Regional Markets – Case of Berry Production in Northern Ostrobothnia, Finland
Authors: Korhonen Kirsi , Kotavaara Ossi , Muilu Toivo , Rusanen Jarmo 
Published: January 2018

AbstractConsumers and institutional kitchens, as well as traders, have shown increasing interest towards local food. This is particularly due to the transparency and traceability characteristic of a short supply chain and social aspects related to food origins. The trend has been increasingly common during the past decade in Europe and North America, and it is strongly evident in the case area of this study in Northern Ostrobothnia, Finland. In general, ease of access to food is highly important for consumers and crucial for institutional kitchens, in addition to quality aspects and price. However, regardless of proximity, poor accessibility is one of the key issues preventing the further growth of local food markets. Due to scale economics in food value chain, food transport is presently organised mainly by centralised, large-scale logistics companies directed via hubs serving millions of consumers. Accordingly, production volumes required to enter large-scale markets are often unattainable for disjointed small-scale local food producers. In this study, geographic information system (GIS)-based accessibility analyses are applied for analysing potential for integral networking of local food production and transport companies. Berry production was selected as a case study because it has a relatively strong role in Northern Ostrobothnia, while its logistics are notably underdeveloped. Spatial data of primary production volumes consists of register records of farm-specific cultivation areas and average yields in Northern Ostrobothnia and Finland. Accessibility computations are based on the digital model of the Finnish road network, Digiroad. Two surveys were also implemented to farmers and food processing companies to seek views on food processing, sales, logistics and procurements regarding local food. Data from the surveys was used in accessibility analysis, which enables exploration of opportunities for establishing ‘local food’ clusters integrating small producers into a more effective and competitive network. Information about favourable conditions for cooperative networks in the local food sector may help in establishing companies and their growth. Again, successful networking may increase scale economies in local production in transport, processing and marketing.
The Spatial Patterns of Dairy Farming In Molise
Authors: Ievoli Corrado , Basile Roberto Giovanni , Belliggiano Angelo 
Published: January 2018

Abstract
The greater market orientation of European dairy production, caused by the end of quota regime, is likely to have consequences on less favoured areas, where breeding of dairy cattle plays both a crucial socio-economic and environmental role. Within this new framework, endogenous factors determining spatial reorganisation of the sector are becoming of increasing relevance. Based on these considerations, this study analyses the impact of the three broader classes of location determinants suggested by economic theory - factor endowment, market potential, and spatial agglomeration externalities - on the spatial pattern of milk production in Molise, a rural region in the south of Italy. Milk production is measured in term of dairy cows per hectare. The truncated distribution of this variable and its high degree of spatial autocorrelation prompted us to apply a Spatial Autoregressive Tobit model. Estimation results reveal that all three categories have a positive effect on the location of milk production, even if the influence of factor endowment (intended as forage area), and market potential (measured in term of proximity of dairy companies) is quite limited. On the contrary, the impact of spatial externalities (related variety) on the regional localisation of milk production is strongly significant. These results cast some doubts on the current measures of intervention and might suggest a new policy framework both at firm and spatial level
Solution of Brauer’s k⁢(B)k(B)-conjecture for π-blocks of π-separable groups
Authors: Sambale Benjamin 
Published: January 2018

Abstract
Answering a question of Pálfy and Pyber, we first prove the following extension of the

k
⁢

(

G
⁢
V

)

{k(GV)}

-problem: Let G be a finite group and let A be a coprime automorphism group of G. Then the number of conjugacy classes of the semidirect product

G
⋊
A

{G\rtimes A}

is at most

|
G
|

{\lvert G\rvert}

. As a consequence, we verify Brauer’s

k
⁢

(
B
)

{k(B)}

-conjecture for π-blocks of π-separable groups which was proposed by Y. Liu. This generalizes the corresponding result for blocks of p-solvable groups. We also discuss equality in Brauer’s Conjecture. On the other hand, we construct a counterexample to a version of Olsson’s Conjecture for π-blocks which was also introduced by Liu.
Vigorous physical activity, perceived stress, sleep and mental health among university students from 23 low- and middle-income countries
Authors: Pengpid Supa , Peltzer Karl 
Published: January 2018

AbstractBackgroundVigorous physical activity (VPA) may be beneficial for mental health. The aim of the study was to investigate cross-sectional associations between VPA, perceived stress, sleep quality and quantity and mental health among university students.MethodsIn a cross-sectional study, using anonymous questionnaires, data was collected from 15122 (42.1% male and 57.9% female) university students [mean age 20.6, standard deviation (SD) = 2.0] from 23 countries in the Americas, Africa and Asia. They were assessed using the International Physical Activity Questionnaire (short version), and measures of sociodemographic, health status, health behaviour and anthropometrics.ResultsStudents who met VPA recommendations were less likely to report perceived stress, more likely to report subjective good health and depression than students without VPA. There was no association between VPA and sleep quality and quantity and PTSD symptoms.ConclusionThis study only found partial benefits of VPA in relation to well-being of university students.
Theory analysis for Pender’s health promotion model (HPM) by Barnum’s criteria: a critical perspective
Authors: Khoshnood Zohreh , Rayyani Masoud , Tirgari Batool 
Published: January 2018

AbstractBackground Analysis of nursing theoretical works and its role in knowledge development is presented as an essential process of critical reflection. Health promotion model (HPM) focuses on helping people achieve higher levels of well-being and identifies background factors that influence health behaviors.Objectives This paper aims to evaluate, and critique HPM by Barnum’s criteria.MethodsThe present study reviewed books and articles derived from Proquest, PubMed, Blackwell Databases. The method of evaluation for this model is based on Barnum’s criteria for analysis, application and evaluation of nursing theories. The criteria selected by Barnum embrace both internal and external criticism. Internal criticism deals with how theory components fit with each other (internal construction of theory) and external criticism deals with the way in which theory relates to the extended world (which considers theory in its relationships to human beings, nursing, and health).ResultsThe electronic database search yielded over 27,717 titles and abstracts. Following removal of duplicates, 18,963 titles and abstracts were screened using the inclusion criteria and 1278 manuscripts were retrieved. Of these, 80 were specific to HPM and 23 to analysis of any theory in nursing relating to the aim of this article. After final selection using the inclusion criteria for this review, 28 manuscripts were identified as examining the factors contributing to theory analysis. Evaluation of health promotion theory showed that the philosophical claims and their content are consistent and clear. HPM has a logical structure and was applied to diverse age groups from differing cultures with varying health concerns.Conclusion In conclusion, among the strategies for theory critique, the Barnum approach is structured and accurate, considers theory in its relationship to human beings, community psychiatric nursing, and health. While according to Pender, nursing assessment, diagnosis and interventions are utilized to operationalize the HPM through practical application and research.
To Decrease Maintenance Issues using FWM in Ultradense WDM Systems and Enhancing Optimum Placement of Optical Phase Conjugation
Authors: Chauhan Anu , Vaish Arti , Verma Ashu 
Published: January 2018

AbstractIn this work, a maintenance issues resolved suppression method of four-wave mixing (FWM) is proposed using optical phase conjugation (OPC) modules and different placements of OPCs are investigated in ultradense wavelength division multiplexing (WDM) system with coherent orthogonal frequency division multiplexing (OFDM) incorporation. Moreover, comparison of the placements of OPC in six different cases has been done and compared with conventional WDM (no-OPC) system in terms of Q-factor, BER and induced FWM. Analysis has been done at different launched power levels. It is observed that placement of OPC after each laser source performs exceptionally well and suppresses FWM with ease of maintenance.